Andreadakis
dr stelios andreadakis is a reader in corporate and financial law and director of postgraduate admissions. he is also the deputy director of the research centre for law, economics and finance. prior to joining brunel, he was a lecturer and llm director at the university of leicester and a senior lecturer at oxford brookes university. he holds a phd and an llm in international commercial law from the university of leicester and an undergraduate law degree from the law school of the university of athens, greece. dr andreadakis’ research interests are in the areas of corporate law and eu law. he is particularly interested in corporate governance, exploring aspects of regulation of companies, corporate theories, the operation of financial markets and the role of scandals in the introduction of new legislation. his current work focuses on the role of whistle-blowers in modern corporate governance and he is conducting empirical research in the us, japan and europe. a monograph will be published by edward elgar with the findings of the research project and his recommendations as to the role of corporate culture in the strengthening of whistleblower protection worldwide. dr andreadakis has published a very influential monograph, co-authored with prof sonia morano-foadi, on the process of european integration, the role of the judiciary and policy-makers as well as the future of human rights protection in the eu. in recognition of his work on this area, dr andreadakis was invited to make a contribution as an expert to a public hearing organised by the committee on constitutional affairs of the european parliament in april 2016 in brussels. qualifications phd, university of leicester llm, university of leicester llb, university of athens pg certificate in learning and teaching in higher education (oxford brookes university) qualified lawyer (athens bar association) whistleblower protection corporate governance company law eu law eu accession to the echr teaching company law (convenor) comparative corporate law (convenor) principles of corporate law governance, regulation and compliance (convenor) student support dr stelios andreadakis is the director of postgraduate admissions for brunel law school.
![Dr Stelios Andreadakis]()
Dr Stelios Andreadakis
Dr Stelios Andreadakis is a Reader in Corporate and Financial Law and Director of Postgraduate Admissions. He is also the Deputy Director of the Research Centre for Law, Economics and Finance. Prior to joining Brunel, he was a Lecturer and LLM Director at the University of Leicester and a Senior Lecturer at Oxford Brookes University. He holds a PhD and an LLM in International Commercial Law from the University of Leicester and an undergraduate Law degree from the Law School of the University of Athens, Greece. Dr Andreadakis’ research interests are in the areas of Corporate Law and EU Law. He is particularly interested in corporate governance, exploring aspects of regulation of companies, corporate theories, the operation of financial markets and the role of scandals in the introduction of new legislation. His current work focuses on the role of whistle-blowers in modern corporate governance and he is conducting empirical research in the US, Japan and Europe. A monograph will be published by Edward Elgar with the findings of the research project and his recommendations as to the role of corporate culture in the strengthening of whistleblower protection worldwide. Dr Andreadakis has published a very influential monograph, co-authored with Prof Sonia Morano-Foadi, on the process of European integration, the role of the judiciary and policy-makers as well as the future of human rights protection in the EU. In recognition of his work on this area, Dr Andreadakis was invited to make a contribution as an expert to a public Hearing organised by the Committee on Constitutional Affairs of the European Parliament in April 2016 in Brussels. Qualifications PhD, University of Leicester LLM, University of Leicester LLB, University of Athens PG Certificate in Learning and Teaching in Higher Education (Oxford Brookes University) Qualified lawyer (Athens Bar Association) Whistleblower Protection Corporate Governance Company Law EU Law EU Accession to the ECHR Teaching Company Law (Convenor) Comparative Corporate Law (Convenor) Principles of Corporate Law Governance, Regulation and Compliance (Convenor) Student Support Dr Stelios Andreadakis is the Director of Postgraduate Admissions for Brunel Law School.
Huda
dr m nazmul huda received his bsc (hons) degree in electrical and electronic engineering from bangladesh university of engineering and technology, bangladesh in 2008, his msc by research degree in computing science from staffordshire university, uk in 2011 and his ph.d. degree in robotics and control from bournemouth university, uk in 2016. at present, he is a senior lecturer in electronic and electrical engineering at brunel university london and supervising several phd students in robotics, artificial intelligence and renewable energy. before joining at brunel university london, he has held several academic/research positions at coventry university, cranfield university, bournemouth university, staffordshire university and bangladesh. he has more than ten years of experience in performing research and leading research projects in robotics, control and machine learning funded by various funding bodies including epsrc and innovate uk. he has filed a patent and published papers on flagship journals and conferences. he is a member of iet, ieee, ieee ras and epsrc associate peer review college. he has been nominated as a regular reviewer for epsrc grants applications. he has been collaborating with internal and external academic and industrial partners and actively developing research proposals as a pi and co-pi for internal and external funding calls including horizon 2020, wellcome trust and high-volume transport. he also serves as a reviewer for many flagship journals and conferences in robotics, control and artificial intelligence including ieee icra, ieee iros, ieee ssrr, ieee/asme transactions on mechatronics, ieee robotics and automation letters (ra-l) etc. robotics, control systems, mobile robot, capsule robot, capsule endoscopy, artificial intelligence, deep learning, sensor fusion, robotic (self-driving) cars, search and rescue robot, pipe inspection robot. dr m nazmul huda has more than five years of teaching experience in the uk (brunel university london, coventry university, bournemouth university and staffordshire university) and in bangladesh.
![Dr Md Nazmul Huda]()
Dr Md Nazmul Huda
Dr M Nazmul Huda received his BSc (Hons) degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Bangladesh in 2008, his MSc by Research degree in Computing Science from Staffordshire University, UK in 2011 and his Ph.D. degree in Robotics and Control from Bournemouth University, UK in 2016. At present, he is a Senior Lecturer in Electronic and Electrical Engineering at Brunel University London and supervising several PhD students in robotics, artificial intelligence and renewable energy. Before joining at Brunel University London, he has held several academic/research positions at Coventry University, Cranfield University, Bournemouth University, Staffordshire University and Bangladesh. He has more than ten years of experience in performing research and leading research projects in robotics, control and machine learning funded by various funding bodies including EPSRC and Innovate UK. He has filed a patent and published papers on flagship journals and conferences. He is a member of IET, IEEE, IEEE RAS and EPSRC associate peer review college. He has been nominated as a regular reviewer for EPSRC grants applications. He has been collaborating with internal and external academic and industrial partners and actively developing research proposals as a PI and Co-PI for internal and external funding calls including Horizon 2020, Wellcome Trust and High-Volume Transport. He also serves as a reviewer for many flagship journals and conferences in robotics, control and artificial intelligence including IEEE ICRA, IEEE IROS, IEEE SSRR, IEEE/ASME Transactions on Mechatronics, IEEE Robotics and Automation Letters (RA-L) etc. Robotics, Control systems, Mobile robot, Capsule robot, Capsule endoscopy, Artificial intelligence, Deep learning, Sensor fusion, Robotic (Self-driving) cars, Search and rescue robot, Pipe inspection robot. Dr M Nazmul Huda has more than five years of teaching experience in the UK (Brunel University London, Coventry University, Bournemouth University and Staffordshire University) and in Bangladesh.
Iacovidou
my research focuses on sustainable solutions for resource and waste management, with a strong emphasis on circular economy strategies and sustainability assessment. i use a systems thinking approach (cvorr) to understand environmental challenges holistically and to identify points where practical interventions can generate the greatest value and impact. by considering not only environmental and engineering aspects but also social, economic, political, and cultural dimensions, my work highlights the multidimensional value of resource recovery systems. this approach helps create solutions that are technically sound, socially inclusive, and supportive of a faster transition to sustainability. my research is primarily desktop-based and centres on five key areas: plastic and plastic packaging systems – assessing sustainable pathways to circularity textiles management – advancing prevention and reuse in a sustainable society food waste management – addressing challenges for sustainable consumption and recovery construction components – promoting reuse and modular structures waste electrical and electronic equipment (weee) – repair, reuse, and circular strategies in addition, i examine the effects of technological and regulatory lock-ins, the role of stakeholders in sustainability transitions, and the impacts of informal recycling systems on society and the environment. i am also exploring how waste infrastructure can be tailored to area-specific contexts and how smart technologies can enable product and component tracking across the value chain. the ultimate goal of my research is to provide systemic and integrated sustainability assessments that support evidence-based policymaking, guide industry innovation, and foster academic collaboration. by applying systems thinking, i aim to reduce material leakage, extend product lifespans, and enhance resource efficiency, shaping a more resilient and sustainable future. my research interests lie at the intersection of sustainability, circular economy, and systems thinking. i am particularly interested in exploring strategies for resource-efficient system design, material circularity, and value recovery from industrial processes. i am also keen to investigate the integration of smart technologies and ai to enhance sustainability across value chains, as well as the regulatory, infrastructural, and stakeholder factors that influence the transition to a circular, resource-efficient economy. my research lies at the intersection of environmental management, the circular economy, and sustainability assessment. a defining feature of my work is the application of systems thinking to evaluate and enhance the sustainable management of resources and waste. key areas of inquiry include the circularity and sustainability of materials, components, and product systems; strategies for technology adaptation and infrastructure capacity assessment; and value recovery from industry to support the transition toward sustainable societies through reduction, repair, and reuse. beyond these, i investigate regulatory lock-ins, the role of stakeholders in sustainability transitions, and the integration of smart technologies and ai to track materials, components, and products across value chains in area-specific contexts. collectively, my research delivers integrated sustainability assessments that inform evidence-based policymaking, guide industry innovation, and accelerate the shift toward a more circular and resource-efficient economy. since joining brunel university in november 2018, i have contributed to teaching across the msc programme in environmental management (em), the msc programme in sustainability, entrepreneurship and design (sused), and the bsc programme in environmental sciences. from 2018 to 2025, i led the msc module environmental management and legislation, and from 2019 to 2025, i taught sustainable development and environmental governance at the bsc level (year 3). in 2025, i began leading the resources and waste management pathway within the newly developed msc in environmental management, where i oversee the newly established modules sustainability, policy and governance (msc em and sused) and natural resources and solid waste management. i also contribute to the total environment and environmental tools & methods modules (msc em). additionally, i serve as programme director for the msc sustainability, entrepreneurship and design, overseeing programme quality, curriculum development, and assessment processes.
![Dr Eleni Iacovidou]()
Dr Eleni Iacovidou
My research focuses on sustainable solutions for resource and waste management, with a strong emphasis on circular economy strategies and sustainability assessment. I use a systems thinking approach (CVORR) to understand environmental challenges holistically and to identify points where practical interventions can generate the greatest value and impact. By considering not only environmental and engineering aspects but also social, economic, political, and cultural dimensions, my work highlights the multidimensional value of resource recovery systems. This approach helps create solutions that are technically sound, socially inclusive, and supportive of a faster transition to sustainability. My research is primarily desktop-based and centres on five key areas: Plastic and plastic packaging systems – assessing sustainable pathways to circularity Textiles management – advancing prevention and reuse in a sustainable society Food waste management – addressing challenges for sustainable consumption and recovery Construction components – promoting reuse and modular structures Waste electrical and electronic equipment (WEEE) – repair, reuse, and circular strategies In addition, I examine the effects of technological and regulatory lock-ins, the role of stakeholders in sustainability transitions, and the impacts of informal recycling systems on society and the environment. I am also exploring how waste infrastructure can be tailored to area-specific contexts and how smart technologies can enable product and component tracking across the value chain. The ultimate goal of my research is to provide systemic and integrated sustainability assessments that support evidence-based policymaking, guide industry innovation, and foster academic collaboration. By applying systems thinking, I aim to reduce material leakage, extend product lifespans, and enhance resource efficiency, shaping a more resilient and sustainable future. My research interests lie at the intersection of sustainability, circular economy, and systems thinking. I am particularly interested in exploring strategies for resource-efficient system design, material circularity, and value recovery from industrial processes. I am also keen to investigate the integration of smart technologies and AI to enhance sustainability across value chains, as well as the regulatory, infrastructural, and stakeholder factors that influence the transition to a circular, resource-efficient economy. My research lies at the intersection of environmental management, the circular economy, and sustainability assessment. A defining feature of my work is the application of systems thinking to evaluate and enhance the sustainable management of resources and waste. Key areas of inquiry include the circularity and sustainability of materials, components, and product systems; strategies for technology adaptation and infrastructure capacity assessment; and value recovery from industry to support the transition toward sustainable societies through reduction, repair, and reuse. Beyond these, I investigate regulatory lock-ins, the role of stakeholders in sustainability transitions, and the integration of smart technologies and AI to track materials, components, and products across value chains in area-specific contexts. Collectively, my research delivers integrated sustainability assessments that inform evidence-based policymaking, guide industry innovation, and accelerate the shift toward a more circular and resource-efficient economy. Since joining Brunel University in November 2018, I have contributed to teaching across the MSc programme in Environmental Management (EM), the MSc programme in Sustainability, Entrepreneurship and Design (SusED), and the BSc programme in Environmental Sciences. From 2018 to 2025, I led the MSc module Environmental Management and Legislation, and from 2019 to 2025, I taught Sustainable Development and Environmental Governance at the BSc level (Year 3). In 2025, I began leading the Resources and Waste Management pathway within the newly developed MSc in Environmental Management, where I oversee the newly established modules Sustainability, Policy and Governance (MSc EM and SusED) and Natural Resources and Solid Waste Management. I also contribute to The Total Environment and Environmental Tools & Methods modules (MSc EM). Additionally, I serve as Programme Director for the MSc Sustainability, Entrepreneurship and Design, overseeing programme quality, curriculum development, and assessment processes.
Kanji
my research addresses inequalities in workplaces, in homes and their many interconnections. i am an expert in how inequalities relate to demographic issues. much of my research is situated where gender, work and social inequality intersect. my previous research has analysed gender inequality in organisations, working hours of men and women, the work-family interface, performance appraisal, career choices, self-employment and wellbeing. parents’ experiences at work. my research has examined, firstly, women’s participation and exit from work. secondly, male breadwinners' working hours preferences and actual hours of work. thirdly, the impact that the care grandparents provide to grandchildren has on the labour force participation of mothers in the uk. i have analysed how becoming a parent or partner differentially affects the transitions of men and women to self-employment and business ownership. occupations. i have studied the occupational aspirations of younger workers in relation to the gender mix of occupations and gendered self-concepts in mathematics, the long-lasting impact of precarious work on the wellbeing of younger workers in germany. research on occupations and inequality is based on women scientists in the pharmaceutical industry in switzerland and women’s changing occupational status in china (conducted for the asian development bank). current research: working hours and paid work participation of older men and women in europe. the experiences of women bankers in bangladesh. young people's transitions from school to work in developing countries. my work has been widely reported in national and international media in the financial times, the times, daily telegraph, daily mail, wirtschaftswoche, time magazine, the daily express, itv news and bbc news. i have appearedtwice on bbc radio 4’s woman’s hour and on the bbc world service. i have undertaken consultancy work for international organisations. for example i was involved in an oecd project on how the school to work transition in switzerland is gendered, an asian development bank research project on women’s changing occupational status in china and several dfid projects on poverty in russia. i have also undertaken consultancy work for private organisations including starling bank. i am a council member of the british society for population studies and serve on one of the esrc grant assessment panels. i have served as an evaluation member panel for the portuguese and swedish social research councils. i was a member of the editorial team of work, employment and society from 2010-2013. i am currently on the editorial board of industrial relations journal. i joined brunel business school in 2019, having previously held posts at the university of birmingham, university of leicester, basel university and the university of cambridge. i have taught courses on leadership, human resource management, statistical modelling, research methods, international human resource management, the sociology of the family and gender and employment. at brunel i have designed and tuaght a module on ethics, power and inequality in artificial intelligence in brunel's new masters in ai strategy. prior to working in academia, i had a career in international finance i am currently teaching the following courses: mg3018 gender in organisations mg2063 critical perspectives on management msc in artificial intelligence ethics, power and inclusion in ai hrm for small and medium sized businesses
![Professor Shireen Kanji]()
Professor Shireen Kanji
My research addresses inequalities in workplaces, in homes and their many interconnections. I am an expert in how inequalities relate to demographic issues. Much of my research is situated where gender, work and social inequality intersect. My previous research has analysed gender inequality in organisations, working hours of men and women, the work-family interface, performance appraisal, career choices, self-employment and wellbeing. Parents’ experiences at work. My research has examined, firstly, women’s participation and exit from work. Secondly, male breadwinners' working hours preferences and actual hours of work. Thirdly, the impact that the care grandparents provide to grandchildren has on the labour force participation of mothers in the UK. I have analysed how becoming a parent or partner differentially affects the transitions of men and women to self-employment and business ownership. Occupations. I have studied the occupational aspirations of younger workers in relation to the gender mix of occupations and gendered self-concepts in mathematics, the long-lasting impact of precarious work on the wellbeing of younger workers in Germany. Research on occupations and inequality is based on women scientists in the pharmaceutical industry in Switzerland and women’s changing occupational status in China (conducted for the Asian Development Bank). Current research: Working hours and paid work participation of older men and women in Europe. The experiences of women bankers in Bangladesh. Young people's transitions from school to work in developing countries. My work has been widely reported in national and international media in The FInancial Times, The Times, Daily Telegraph, Daily Mail, Wirtschaftswoche, Time Magazine, The Daily Express, ITV News and BBC News. I have appearedtwice on BBC Radio 4’s Woman’s Hour and on the BBC World Service. I have undertaken consultancy work for international organisations. For example I was involved in an OECD project on how the school to work transition in Switzerland is gendered, an Asian Development Bank research project on women’s changing occupational status in China and several DFID projects on poverty in Russia. I have also undertaken consultancy work for private organisations including Starling Bank. I am a Council Member of the British Society for Population Studies and serve on one of the ESRC Grant Assessment Panels. I have served as an evaluation member panel for the Portuguese and Swedish Social Research Councils. I was a member of the editorial team of Work, Employment and Society from 2010-2013. I am currently on the Editorial Board of Industrial Relations Journal. I joined Brunel Business School in 2019, having previously held posts at the University of Birmingham, University of Leicester, Basel University and the University of Cambridge. I have taught courses on Leadership, Human Resource Management, Statistical Modelling, Research Methods, International Human Resource Management, the Sociology of the Family and Gender and Employment. At Brunel I have designed and tuaght a module on ethics, power and inequality in artificial intelligence in Brunel's new Masters in AI Strategy. Prior to working in academia, I had a career in international finance I am currently teaching the following courses: MG3018 Gender in Organisations MG2063 Critical Perspectives on Management MSc in Artificial Intelligence Ethics, Power and Inclusion in AI HRM for small and medium sized businesses
Meng
hongying meng is a full professor in the department of electronic and electrical engineering at brunel university of london. before joining brunel, he held research positions in several uk universities including university college london (ucl), university of york, university of southampton, university of lincoln, and university of dundee. he received his bsc, msc and ph.d. degree in communication and electronic systems all from xi’an jiaotong university, xi'an, china. after that, he worked as a postdoc researcher and then a lecturer at electronic engineering department of tsinghua university, beijing, china before coming to uk. his research area includes signal processing, computer vision, affective computing, artificial intelligence, neuromorphic computing and internet of things. his research is funded by epsrc, eu horizon 2020, royal academy of engineering, royal society, etc. he has published more than 200 academic papers with more than 9000 citations (google scholar h-index 42). he has developed 2 different emotion recognition systems that won avec2011 and avec2013 international challenge competitions respectively. he is an ieee senior member since 2017 and an associate editor for ieee transactions on circuits and systems for video technology (tcsvt) and ieee transactions on cognitive and developmental systems (tcds). he is also an associate editors-in-chief for digital twins and applications (iet). he was recognized as one of the ai 2000 most influential scholars by aminer in 2022 and top scholar (within the top 0.5% of all scholars worldwide) by scholargps in 2024. he was also listed as a top 2% scientist of the world (stanford/elsevier, single-year data sets) in 2023, 2024 and 2025 and one of the world's best scientists by research.com in 2025. digital signal processing: wavelet transform; digital filtering; statistical signal processing; audio signal processing; mechanical signal processing (fault detection), biomedical signal processing (e.g. ecg, eeg, emg, gsr); real-time signal processing. machine learning: support vector machine (svm); kernel methods; artificial neural networks; genetic algorithm; genetic programming, feature selection and fusion; bayesian methods; hidden markov model (hmm); deep learning; long short term memory (lstm), convolutional neural network (cnn), generative adversarial network (gan), transformer, reinforcement learning, self-supervised learning, large language model (llm), multi-label classification; statistical learning theory; multi-score learning, multiple classifier system, decision fusion, data mining, regression, spiking neural networks, neuromorphic computing. human computer interaction: affective computing; emotional states recognition; facial expression analysis; multi-model interaction; movement modelling; gesture recognition, ubiquitous and pervasive computing; robot; self-driving car, ambient intelligence; multimodal emotional interaction system; interactive film; and virtual reality (vr). computer vision: biologically inspired vision systems; dynamic motion feature extraction; human action recognition; object detection; object tracking; visual surveillance; image compression; large scale image categorization; image segmentation; real-time image processing; medical image processing (ct, fmri); embedded vision systems; 3d image processing, holoscopic imaging; autonomous driving systems. embedded systems and communications: fpga; microcontroller (pic, arm); dsp (ti); smart phones; tablet; game consoles, internet of things (iot), digital twin, system on chip (soc), risc-v, controller area network (can), wireless networks and communication (zigbee, bluetooth, ook, visible light communication, mmwave communication). microcontroller principles (fheq level 5) computer architecture and interfacing (fheq level 5) engineering group design project (fheq level 5) advanced embedded systems design (fheq level 7, meng & msc) artificial intelligence system techniques (fheq level 7, meng & msc)
![Professor Hongying Meng]()
Professor Hongying Meng
Hongying Meng is a full professor in the Department of Electronic and Electrical Engineering at Brunel University of London. Before joining Brunel, he held research positions in several UK universities including University College London (UCL), University of York, University of Southampton, University of Lincoln, and University of Dundee. He received his BSc, MSc and Ph.D. degree in Communication and Electronic Systems all from Xi’an Jiaotong University, Xi'an, China. After that, he worked as a postdoc researcher and then a lecturer at Electronic Engineering Department of Tsinghua University, Beijing, China before coming to UK. His research area includes signal processing, computer vision, affective computing, artificial intelligence, neuromorphic computing and Internet of Things. His research is funded by EPSRC, EU Horizon 2020, Royal Academy of Engineering, Royal Society, etc. He has published more than 200 academic papers with more than 9000 citations (Google Scholar h-index 42). He has developed 2 different emotion recognition systems that won AVEC2011 and AVEC2013 international challenge competitions respectively. He is an IEEE Senior Member since 2017 and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (TCDS). He is also an associate Editors-in-Chief for Digital Twins and Applications (IET). He was recognized as one of the AI 2000 Most Influential Scholars by Aminer in 2022 and Top Scholar (within the top 0.5% of all scholars worldwide) by ScholarGPS in 2024. He was also listed as a Top 2% Scientist of the World (Stanford/Elsevier, single-year data sets) in 2023, 2024 and 2025 and one of the World's Best Scientists by Research.com in 2025. Digital Signal Processing: wavelet transform; digital filtering; statistical signal processing; audio signal processing; mechanical signal processing (fault detection), biomedical signal processing (e.g. ECG, EEG, EMG, GSR); real-time signal processing. Machine Learning: Support Vector Machine (SVM); kernel methods; artificial neural networks; genetic algorithm; genetic programming, feature selection and fusion; Bayesian methods; Hidden Markov Model (HMM); deep learning; Long Short Term Memory (LSTM), Convolutional Neural Network (CNN), Generative Adversarial Network (GAN), transformer, reinforcement learning, self-supervised learning, Large Language Model (LLM), multi-label classification; statistical learning theory; multi-score learning, multiple classifier system, decision fusion, data mining, regression, spiking neural networks, neuromorphic computing. Human Computer Interaction: affective computing; emotional states recognition; facial expression analysis; multi-model interaction; movement modelling; gesture recognition, ubiquitous and pervasive computing; robot; self-driving car, ambient intelligence; multimodal emotional interaction system; interactive film; and virtual reality (VR). Computer Vision: biologically inspired vision systems; dynamic motion feature extraction; human action recognition; object detection; object tracking; visual surveillance; image compression; large scale image categorization; image segmentation; real-time image processing; medical image processing (CT, fMRI); embedded vision systems; 3D image processing, Holoscopic imaging; autonomous driving systems. Embedded Systems and Communications: FPGA; microcontroller (PIC, ARM); DSP (TI); smart phones; tablet; game consoles, Internet of Things (IoT), Digital Twin, System on Chip (SoC), RISC-V, Controller Area Network (CAN), wireless networks and communication (ZigBee, Bluetooth, OOK, visible light communication, mmWave communication). Microcontroller Principles (FHEQ Level 5) Computer Architecture and Interfacing (FHEQ Level 5) Engineering Group Design Project (FHEQ Level 5) Advanced Embedded Systems Design (FHEQ Level 7, MEng & MSc) Artificial Intelligence System Techniques (FHEQ Level 7, MEng & MSc)
Nika
pamela nika is a lecturer in corporate and finance law at brunel university. she has recently obtained her phd from the university of reading. her thesis titled ‘ecb monetary policy and supervisory powers: competing objectives and policy conflicts,’ critically assessed the role of european central bank in light of banking union and the centralisation of banking supervision at european union level. pamela also holds an llm in international commercial law, with specialisation in banking and finance from city university london and a ba in law from the university of athens. prior to joining brunel, pamela worked for the university of reading and the university of essex online, where she has contributed in a number of llm modules. pamela was also admitted to athens bar association and practised law in areas such as commercial law, banking law and international transactions. banking law, financial regulation, fintech, digital currencies pamela’s main research interests are in the areas of financial law and regulation, corporate and finance law, corporate insolvency and law and economics. teaching banking law theory of financial regulation practice of financial regulation
![Dr Pamela Nika]()
Dr Pamela Nika
Pamela Nika is a Lecturer in corporate and finance law at Brunel University. She has recently obtained her PhD from the University of Reading. Her thesis titled ‘ECB Monetary Policy and Supervisory Powers: Competing Objectives and Policy Conflicts,’ critically assessed the role of European Central Bank in light of banking union and the centralisation of banking supervision at European Union level. Pamela also holds an LLM in International Commercial Law, with specialisation in Banking and Finance from City University London and a BA in Law from the University of Athens. Prior to joining Brunel, Pamela worked for the University of Reading and the University of Essex Online, where she has contributed in a number of LLM Modules. Pamela was also admitted to Athens Bar Association and practised law in areas such as commercial law, banking law and international transactions. banking law, financial regulation, fintech, digital currencies Pamela’s main research interests are in the areas of Financial Law and Regulation, Corporate and Finance Law, Corporate Insolvency and Law and Economics. Teaching Banking Law Theory of Financial Regulation Practice of Financial Regulation
Norris
dr emma norris is a senior lecturer in public health, within the department of health sciences and co-chair of the health behaviour change research group. she is brunel's academic lead for online global public health programmes and programme lead of msc public health and health promotion (online) and msc public health and behaviour change (online). dr norris is a researcher in behaviour change and health psychology, exploring evidence synthesis of behaviour change interventions, as well as development and assessment of physical activity, smoking cessation and digital interventions. before joining brunel, dr norris was a research fellow at the centre for behaviour change at university college london working on the human behaviour-change project: synthesising published literature on behaviour change using machine learning and artificial intelligence. dr norris' phd tested virtual field trips as physically active lesson interventions for primary-school children. dr norris is also an advocate for open science. she established and chairs brunel's open research working group and is brunel's uk reproducibility network (ukrn) local network lead. she is also interested in designing behaviour change interventions to facilitate open science behaviours in researchers. dr norris is a fellow of the higher education academy (fhea). she is co-chair of the european health psychology society’s open science special interest group. emma is an associate editor for health psychology & behavioral medicine and cogent psychology. follow dr norris' research and updates on bluesky: @emmajnorris.bsky.social behaviour change, health psychology, intervention development, physical activity, evidence synthesis, ontologies, open science, meta-science dr norris’ research investigates the development and evaluation of behaviour change interventions using a range of theory and methods. emma explores evidence synthesis for health interventions and behaviour change, using meta-analyses, systematic reviews and innovative methods such as ontologies. emma is also interested in increasing uptake of open science behaviours in researchers.
![Dr Emma Norris]()
Dr Emma Norris
Dr Emma Norris is a Senior Lecturer in Public Health, within the Department of Health Sciences and Co-Chair of the Health Behaviour Change Research Group. She is Brunel's Academic Lead for online Global Public Health programmes and Programme Lead of MSc Public Health and Health Promotion (online) and MSc Public Health and Behaviour Change (online). Dr Norris is a researcher in behaviour change and health psychology, exploring evidence synthesis of behaviour change interventions, as well as development and assessment of physical activity, smoking cessation and digital interventions. Before joining Brunel, Dr Norris was a Research Fellow at the Centre for Behaviour Change at University College London working on the Human Behaviour-Change Project: synthesising published literature on behaviour change using machine learning and Artificial Intelligence. Dr Norris' PhD tested Virtual Field Trips as physically active lesson interventions for primary-school children. Dr Norris is also an advocate for Open Science. She established and Chairs Brunel's Open Research Working Group and is Brunel's UK Reproducibility Network (UKRN) Local Network Lead. She is also interested in designing behaviour change interventions to facilitate Open Science behaviours in researchers. Dr Norris is a Fellow of the Higher Education Academy (FHEA). She is Co-Chair of the European Health Psychology Society’s Open Science Special Interest Group. Emma is an Associate Editor for Health Psychology & Behavioral Medicine and Cogent Psychology. Follow Dr Norris' research and updates on Bluesky: @emmajnorris.bsky.social Behaviour change, Health psychology, Intervention development, Physical Activity, Evidence synthesis, Ontologies, Open Science, Meta-Science Dr Norris’ research investigates the development and evaluation of behaviour change interventions using a range of theory and methods. Emma explores evidence synthesis for health interventions and behaviour change, using meta-analyses, systematic reviews and innovative methods such as ontologies. Emma is also interested in increasing uptake of Open Science behaviours in researchers.
Pascalis
dr francesco de pascalis joined brunel law school in 2017. before that, he worked as a research fellow at the 'chair for law and finance' held by professor kern alexander at the university of zurich, which he joined in 2013. he has also taught, as an external lecturer, at the institute of advanced legal studies (ials), university of london. he qualified as a solicitor in italy in 2008. dr de pascalis currently holds external examiner positions at the university of glasgow, school of law and adam smith business school. dr de pascalis's research interests include banking and finance law, financial regulation, digital finance and technology, and sustainable finance. his monograph credit ratings and market over-reliance: an international legal analysis (brill-nijoff 2017) is the first book analysing, from a legal perspective, the phenomenon of investors' over-reliance on external credit ratings and providing a critical assessment of the post-crisis regulatory strategies to tackle the phenomenon in question. in 2024, dr de pascalis co-authored the book open banking: global development and regulation (forthcoming routledge 2023) with dr alan brener (ucl). the book is part of the 'routledge international studies in money and banking series'. at present, he has been working on another book principles of law and finance (forthcoming edward elgar 2027). dr de pascalis has presented his research and delivered workshops/masterclasses in the uk and abroad (inter alia norway, the netherlands, belgium). he is member of the editorial board of top academic journal such as the law and financial markets review (taylor and francis). his research has been published in established academic journals such as the international and comparative corporate law journal, european business law review, capital markets law journal, european journal of law reforms, business law review, king's law journal, the company lawyer, journal of international banking law and regulation, the banking law journal and in edited collections. he served three years (2019-2021) as co-convener of the uk society of legal scholars (sls) 'banking and financial services law section'. he is also fellow of the society of advanced legal studies, fellow of the european law institute, and honorary fellow of the asian institute of international financial law (aiifl) university of hong kong. dr de pascalis is member of the centre for ai: social and digital innovation (brunel university of london), the research centre for law, economics and finance (brunel university of london) and of the research network on sustainable finance (university of zurich). at brunel law school he teaches the following courses at the undergraduate and postgraduate levels: banking law, theory of international financial regulation (module leader), international finance law, banking and technology law (module leader). qualifications: fellow of higher education academy phd, ials university of london llm in banking and finance law, queen mary university of london master's degree in advanced studies of eu and transnational law, university of trento (italy) llb, university of parma (italy) registered lawyer (verona bar association) francesco's research interests are in the areas of banking and finance. he is author of the book credit ratings and market over-reliance: an international legal analysis (brill-nijhoff 2017) as well as a range of articles in leading academic journals. banking law and regulation eu financial law international financial regulation regulation of financial markets financial technology and digitalisation of financial services banking law eu law theory of international financial regulation practice of international financial regulation banking and tech law
![Dr Francesco De Pascalis]()
Dr Francesco De Pascalis
Dr Francesco De Pascalis joined Brunel Law School in 2017. Before that, he worked as a research fellow at the 'Chair for Law and Finance' held by Professor Kern Alexander at the University of Zurich, which he joined in 2013. He has also taught, as an external lecturer, at the Institute of Advanced Legal Studies (IALS), University of London. He qualified as a Solicitor in Italy in 2008. Dr De Pascalis currently holds external examiner positions at the University of Glasgow, School of Law and Adam Smith Business School. Dr De Pascalis's research interests include banking and finance law, financial regulation, digital finance and technology, and sustainable finance. His monograph Credit Ratings and Market Over-reliance: An International Legal Analysis (Brill-Nijoff 2017) is the first book analysing, from a legal perspective, the phenomenon of investors' over-reliance on external credit ratings and providing a critical assessment of the post-crisis regulatory strategies to tackle the phenomenon in question. In 2024, Dr De Pascalis co-authored the book Open Banking: Global Development and Regulation (forthcoming Routledge 2023) with Dr Alan Brener (UCL). The book is part of the 'Routledge International Studies in Money and Banking series'. At present, he has been working on another book Principles of Law and Finance (forthcoming Edward Elgar 2027). Dr De Pascalis has presented his research and delivered workshops/masterclasses in the UK and abroad (inter alia Norway, The Netherlands, Belgium). He is member of the editorial board of top academic journal such as the Law and Financial Markets Review (Taylor and Francis). His research has been published in established academic journals such as the International and Comparative Corporate Law Journal, European Business Law Review, Capital Markets Law Journal, European Journal of Law Reforms, Business Law Review, King's Law Journal, The Company Lawyer, Journal of International Banking Law and Regulation, The Banking Law Journal and in edited collections. He served three years (2019-2021) as co-convener of the UK Society of Legal Scholars (SLS) 'Banking and Financial Services Law Section'. He is also Fellow of the Society of Advanced Legal Studies, Fellow of the European Law Institute, and Honorary Fellow of the Asian Institute of International Financial Law (AIIFL) University of Hong Kong. Dr De Pascalis is member of the Centre for AI: Social and Digital Innovation (Brunel University of London), the Research Centre for Law, Economics and Finance (Brunel University of London) and of the Research Network on Sustainable Finance (University of Zurich). At Brunel Law School he teaches the following courses at the undergraduate and postgraduate levels: Banking Law, Theory of International Financial Regulation (module leader), International Finance Law, Banking and Technology Law (module leader). Qualifications: Fellow of Higher Education Academy PHD, IALS University of London LLM in Banking and Finance Law, Queen Mary university of London Master's degree in Advanced Studies of EU and Transnational Law, University of Trento (Italy) LLB, University of Parma (Italy) Registered lawyer (Verona Bar Association) Francesco's research interests are in the areas of Banking and Finance. He is author of the book Credit Ratings and Market Over-reliance: An International Legal Analysis (Brill-Nijhoff 2017) as well as a range of articles in leading academic journals. Banking Law and Regulation EU Financial Law International Financial Regulation Regulation of Financial Markets Financial Technology and Digitalisation of Financial Services Banking Law EU Law Theory of International Financial Regulation Practice of International Financial Regulation Banking and Tech Law
Sisu
dr sisu joined brunel university as lecturer in genomic data analytics in april 2017. prior to that, she studied chemical engineering first at university “politehnica” bucharest and then at university “politehnica” timisoara in romania, followed by an msc in molecular sciences at wagennigen university, the netherlands and a phd in bioinformatics at university of cambridge. next, she moved to usa as a post-doc at yale university in the lab of mark gerstein. dr sisu’s current research focuses on the study of pseudogenes from both an evolutionary perspective but also as key players in various disease. dr sisu is also the chair of the early career lectures in bioscience at hubs (royal society of biology). for a complete list of publications see i am the lead for the introduction to data analysis hefq level 4 biomedical sciences (bb1719) and the lead for the introduction to bioinformatics hefq level 5 life sciences (ls2702 & ls2802). i am also teaching transcriptomics and rnaseq analysis as part of the msc module bb5707. postdoctoral positions applications for postdoctoral positions are considered on a rolling basis. applicants should hold a phd or be in their last six months of doctoral studies in computer science, physics or biology and should have a strong computational background. currently there are no funded positions available. however, we are happy to support your application for an independent fellowship. if interested, please contact dr sisu directly sending as attachment a cover letter, cv and contact details of 3 references from supervisors or mentors familiar with your work. ph.d. positions funded positions will be advertised as they become available. placement / erasmus / visiting students i am happy to host placement and visiting young scientists in my lab. if you are interested in joining us, please contact dr sisu directly.
![Dr Cristina Sisu]()
Dr Cristina Sisu
Dr Sisu joined Brunel University as Lecturer in Genomic Data Analytics in April 2017. Prior to that, she studied Chemical Engineering first at University “Politehnica” Bucharest and then at University “Politehnica” Timisoara in Romania, followed by an MSc in Molecular Sciences at Wagennigen University, The Netherlands and a PhD in Bioinformatics at University of Cambridge. Next, she moved to USA as a post-doc at Yale University in the lab of Mark Gerstein. Dr Sisu’s current research focuses on the study of pseudogenes from both an evolutionary perspective but also as key players in various disease. Dr Sisu is also the chair of the Early Career Lectures in Bioscience at HUBS (Royal Society of Biology). For a complete list of publications see I am the lead for the Introduction to data analysis HEFQ level 4 Biomedical Sciences (BB1719) and the lead for the Introduction to Bioinformatics HEFQ level 5 Life Sciences (LS2702 & LS2802). I am also teaching Transcriptomics and RNAseq analysis as part of the MSc module BB5707. Postdoctoral positions Applications for postdoctoral positions are considered on a rolling basis. Applicants should hold a PhD or be in their last six months of doctoral studies in Computer Science, Physics or Biology and should have a strong computational background. Currently there are no funded positions available. However, we are happy to support your application for an independent fellowship. If interested, please contact Dr Sisu directly sending as attachment a cover letter, CV and contact details of 3 references from supervisors or mentors familiar with your work. Ph.D. positions Funded positions will be advertised as they become available. Placement / Erasmus / Visiting students I am happy to host placement and visiting young scientists in my lab. If you are interested in joining us, please contact Dr Sisu directly.
Westenberger
dr paula westenberger is a senior lecturer in intellectual property law at brunel university london, where she teaches and convenes undergraduate and postgraduate intellectual property law modules at brunel law school. she is a member of the centre for artificial intelligence at brunel university. she joined brunel in 2018, having previously held positions at queen mary university of london and buckinghamshire new university. paula holds a phd (with scholarship awarded by the centre for commercial law studies) and an llm in intellectual property law from queen mary university of london (qmul), and an llb from the pontifícia universidade católica of rio de janeiro (puc-rio), where she was also part of the human rights centre research group "simulações e realidade". paula also holds a postraduate certificate in curating and collections management (birkbeck) and a postraduate certificate in academic practice (brunel). she is currently a bridging responsible ai divides (braid) research fellow, leading the 18-month project responsible ai for heritage: copyright and human rights perspectives in partnership with rbg kew (ahrc funded). she is currently researching the interface between cultural heritage, artificial intelligence and copyright law. her research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. paula has founded and leads the heritage ai and law (hail) network. she is also deputy editor for the european copyright and design reports (ecdr), a member of the british literary and artistic copyright association (blaca) and of the society for legal scholars (sls), and a peer reviewer for academic journals. paula is a qualified lawyer in brazil, where she has practiced in the field of intellectual property law since 2006. she is currently a braid research fellow, leading the 18-month project responsible ai for heritage: copyright and human rights perspectives in partnership with rbg kew (ahrc funded). she is currently researching the interface between cultural heritage, artificial intelligence and copyright law. her research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. llb: lx3071 intellectual property law (module convenor) llm: lx5646 international intellectual property law (module convenor) lx5653 european and international media law (module convenor) lx5616 privacy and data protection lx5621 philosophical foundations of intellectual property lx5642 copyright, design and allied rights lx5651 cultural heritage law - comparative and international perspectives
![Dr Paula Westenberger]()
Dr Paula Westenberger
Dr Paula Westenberger is a Senior Lecturer in Intellectual Property Law at Brunel University London, where she teaches and convenes undergraduate and postgraduate intellectual property law modules at Brunel Law School. She is a member of the Centre for Artificial Intelligence at Brunel University. She joined Brunel in 2018, having previously held positions at Queen Mary University of London and Buckinghamshire New University. Paula holds a PhD (with Scholarship awarded by the Centre for Commercial Law Studies) and an LLM in Intellectual Property Law from Queen Mary University of London (QMUL), and an LLB from the Pontifícia Universidade Católica of Rio de Janeiro (PUC-Rio), where she was also part of the Human Rights Centre research group "Simulações e Realidade". Paula also holds a Postraduate Certificate in Curating and Collections Management (Birkbeck) and a Postraduate Certificate in Academic Practice (Brunel). She is currently a Bridging Responsible AI Divides (BRAID) Research Fellow, leading the 18-month project Responsible AI for Heritage: copyright and human rights perspectives in partnership with RBG Kew (AHRC funded). She is currently researching the interface between cultural heritage, artificial intelligence and copyright law. Her research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. Paula has founded and leads the Heritage AI and Law (HAIL) Network. She is also Deputy Editor for the European Copyright and Design Reports (ECDR), a member of the British Literary and Artistic Copyright Association (BLACA) and of the Society for Legal Scholars (SLS), and a peer reviewer for academic journals. Paula is a qualified lawyer in Brazil, where she has practiced in the field of intellectual property law since 2006. She is currently a BRAID Research Fellow, leading the 18-month project Responsible AI for Heritage: copyright and human rights perspectives in partnership with RBG Kew (AHRC funded). She is currently researching the interface between cultural heritage, artificial intelligence and copyright law. Her research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. LLB: LX3071 Intellectual Property Law (module convenor) LLM: LX5646 International Intellectual Property Law (module convenor) LX5653 European and International Media Law (module convenor) LX5616 Privacy and Data Protection LX5621 Philosophical Foundations of Intellectual Property LX5642 Copyright, Design and Allied Rights LX5651 Cultural Heritage Law - Comparative and International Perspectives
Kretsos
dr lefteris kretsos is a senior lecturer in business and management. prior to joining brunel university london he was a senior lecturer in hrm at university of greenwich, greenwich business school, a research fellow at coventry university, coventry business school and a lecturer in robert gordon university, aberdeen business school. his achievements were acknowledged by city university of london through the distinguished honor of an honorary senior lectureship. his research activity focused on the study of precarious work especially among young and cultural workers. he is currently working in the intersection of political economy and employment relations focusing on how ai, public policy and management interventions result in certain outcomes, processes and strategies. lefteris has been published in leading academic presses and in world-class journals such as work, employment and society, work and occupations, industrial relations journal, industrial law journal. his research has also been funded by various organisations and streams including the economic and social research council (esrc) and the european research council (erc awards). in addition, lefteris has been on a range of editorial boards and committees, he has proposed legislation and holds proven record in policy making and analysis in government and intergovernmental organisations (for example european commission, ilo, oecd, unesco). from march 2015 to july 2019 lefteris served as a cabinet minister and as general secretary responsible for digital and media policy in greece. during his tenure he initiated the restructuring of public policy organisations and championed policies for making greece a global film friendly location. he is currently teaching research methods in business and management, international human resource management for undergraduate students. he also teaches leading people and managing organisations, strategies for inclusive growth, leadership and recruitment for mba students. lefteris is also the programme leader for the phd programme with ahlia university in bahrain. my research has addressed the nature of change in a variety of work organisations, how this has impacted on employees, and how industrial relations processes shape the nature of outcomes of organisational and labour market restructuring. an on-going research interest concerned changes in working time patterns and employees’ experience of precarious work. i am currently working in the intersection of political economy and employment relations. i situate organizational and social related problems in a policy context examining how ai, public policy and management interventions results in certain outcomes, processes and strategies. to date i have participated in 15 international research projects funded by a number of important institutions, such as the european commission and the european research council, the economic and social research council, the european regional development fund, the european foundation for the improvement of working and living conditions. digitalisation and the future of work, public policy for the creative industries, working time changes. mg2610 research methods mg2133 human resource management and its international dimensions mb5527 leading people and managing organizations (mba) undergraduate and postgraduate dissertation supervision and marking i am also programme leader for the phd (without residence programme). office hours: students can make an appointment to meet me by either using the following link by simply sending me an email.
![Dr Lefteris Kretsos]()
Dr Lefteris Kretsos
Dr Lefteris Kretsos is a Senior Lecturer in Business and Management. Prior to joining Brunel University London he was a Senior Lecturer in HRM at University of Greenwich, Greenwich Business School, a Research Fellow at Coventry University, Coventry Business School and a Lecturer in Robert Gordon University, Aberdeen Business School. His achievements were acknowledged by City University of London through the distinguished honor of an Honorary Senior Lectureship. His research activity focused on the study of precarious work especially among young and cultural workers. He is currently working in the intersection of political economy and employment relations focusing on how AI, Public Policy and Management interventions result in certain outcomes, processes and strategies. Lefteris has been published in leading academic presses and in world-class journals such as Work, Employment and Society, Work and Occupations, Industrial Relations Journal, Industrial Law Journal. His research has also been funded by various organisations and streams including the Economic and Social Research Council (ESRC) and the European Research Council (ERC awards). In addition, Lefteris has been on a range of editorial boards and committees, he has proposed legislation and holds proven record in policy making and analysis in government and intergovernmental organisations (for example European Commission, ILO, OECD, Unesco). From March 2015 to July 2019 Lefteris served as a Cabinet Minister and as General Secretary responsible for Digital and Media Policy in Greece. During his tenure he initiated the restructuring of public policy organisations and championed policies for making Greece a global film friendly location. He is currently teaching Research Methods in Business and Management, International Human Resource Management for Undergraduate Students. He also teaches Leading People and Managing Organisations, Strategies for Inclusive Growth, Leadership and Recruitment for MBA Students. Lefteris is also the Programme Leader for the PhD Programme with Ahlia University in Bahrain. My research has addressed the nature of change in a variety of work organisations, how this has impacted on employees, and how industrial relations processes shape the nature of outcomes of organisational and labour market restructuring. An on-going research interest concerned changes in working time patterns and employees’ experience of precarious work. I am currently working in the intersection of political economy and employment relations. I situate organizational and social related problems in a policy context examining how AI, public policy and Management interventions results in certain outcomes, processes and strategies. To date I have participated in 15 international research projects funded by a number of important institutions, such as the European Commission and the European Research Council, the Economic and Social Research Council, the European Regional Development Fund, the European Foundation for the Improvement of Working and Living Conditions. Digitalisation and the Future of Work, Public Policy for the Creative Industries, Working Time Changes. MG2610 Research Methods MG2133 Human Resource Management and its International Dimensions MB5527 Leading People and Managing Organizations (MBA) Undergraduate and Postgraduate dissertation supervision and marking I am also Programme Leader for the PhD (Without Residence Programme). Office hours: Students can make an appointment to meet me by either using the following link by simply sending me an email.
Braganza
professor braganza is the chair in business transformation. professor braganza has held several leadership role including dean of brunel business school, deputy dean of the college of business, arts and social sciences and head of economics and finance. he is the founder and co-director of brunel’s interdisciplinary research centre for artificial intelligence, launched in 2018, which incorporates a dedicated ai lab. the centre and lab are part of the wider brunel’s ai ecosystem, led by professor braganza. the centre has a strong track record of winning externally funded grants. professor braganza is part of a consortium that won a €5.8 million bid for the eloquence eu project (2024-2027). he devised and launched a masters in ai strategy, which is aim at training the next generation of ai leaders. the ai adoption podcast is hosted by professor braganza. the aim of the podcast is to discuss the latest developments in this fast-moving field. professor braganza serves as a trustee of the industry parliamentary trust. professor braganza’s scholarly contribution is to the field of change implementation and, specifically, leadership of strategic organisational change. his interest in the implementation of cross-functional change was sparked during his doctoral journey, and continues to inform his research projects, teaching, and consultancy assignments. his research is practice-based, demonstrated by his leadership of over numerous consultancy projects with global, public and private sector organisations. his past collaborations with senior managers in organisations exemplified by bt, microsoft, mcdonald's, astra zeneca, friends provident, volkswagen financial services and the various un agencies have co-created knowledge and practical ways of implementing complex change programmes. the british academy of management elected professor braganza to the college of fellows. his fellowship recognises the substantial contribution, over twenty-five years, to the wider business and management academic community through the british academy of management. he joined bam initially as a doctoral student and, since then, fulfilled a number of leadership roles. these include serving on bam council as an elected member, founding the organisational transformation, change and development sig, creating the conference track and, over the years, chairing the sig and track along with serving on the sig committee. he has organised, led and delivered numerous bam events. a strong practice-based research track record most recently establishing brunel’s research centre for artificial intelligence (external grants £3.5 million) and ai lab (£300,000 internal competitive funding), pi on interdisciplinary grants and articles published in leading academic journals. he has completed over 40 major change management consultancy assignments with public and private sector organisations. a passionate believer in practice-led academic delivery, interdisciplinary, experiential learning, relevant and rigorous academic research with an extensive network of international contacts in global commercial and academic organisations and board level experience. prof braganza's research interests encompass artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation enabled information systems. he has published over 100 papers in prestigious academic and practitioner journals and three books. research group(s) operations and information systems management research group (oism) ai: social and digital innovation research centre
![Professor Ashley Braganza]()
Professor Ashley Braganza
Professor Braganza is the Chair in Business Transformation. Professor Braganza has held several leadership role including Dean of Brunel Business School, Deputy Dean of the College of Business, Arts and Social Sciences and Head of Economics and Finance. He is the Founder and co-Director of Brunel’s interdisciplinary Research Centre for Artificial Intelligence, launched in 2018, which incorporates a dedicated AI Lab. The Centre and Lab are part of the wider Brunel’s AI Ecosystem, led by Professor Braganza. The Centre has a strong track record of winning externally funded grants. Professor Braganza is part of a consortium that won a €5.8 million bid for the ELOQUENCE EU project (2024-2027). He devised and launched a Masters in AI Strategy, which is aim at training the next generation of AI leaders. The AI Adoption Podcast is hosted by Professor Braganza. The aim of the podcast is to discuss the latest developments in this fast-moving field. Professor Braganza serves as a Trustee of the Industry Parliamentary Trust. Professor Braganza’s scholarly contribution is to the field of change implementation and, specifically, leadership of strategic organisational change. His interest in the implementation of cross-functional change was sparked during his doctoral journey, and continues to inform his research projects, teaching, and consultancy assignments. His research is practice-based, demonstrated by his leadership of over numerous consultancy projects with global, public and private sector organisations. His past collaborations with senior managers in organisations exemplified by BT, Microsoft, McDonald's, Astra Zeneca, Friends Provident, Volkswagen Financial Services and the various UN agencies have co-created knowledge and practical ways of implementing complex change programmes. The British Academy of Management elected Professor Braganza to the College of Fellows. His Fellowship recognises the substantial contribution, over twenty-five years, to the wider business and management academic community through the British Academy of Management. He joined BAM initially as a doctoral student and, since then, fulfilled a number of leadership roles. These include serving on BAM Council as an elected member, founding the Organisational Transformation, Change and Development SIG, creating the conference track and, over the years, chairing the SIG and track along with serving on the SIG committee. He has organised, led and delivered numerous BAM events. A strong practice-based research track record most recently establishing Brunel’s Research Centre for Artificial Intelligence (external grants £3.5 million) and AI Lab (£300,000 internal competitive funding), PI on interdisciplinary grants and articles published in leading academic journals. He has completed over 40 major change management consultancy assignments with public and private sector organisations. A passionate believer in practice-led academic delivery, interdisciplinary, experiential learning, relevant and rigorous academic research with an extensive network of international contacts in global commercial and academic organisations and board level experience. Prof Braganza's research interests encompass artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation enabled information systems. He has published over 100 papers in prestigious academic and practitioner journals and three books. Research group(s) Operations and Information Systems Management Research Group (OISM) AI: Social and Digital Innovation Research Centre
Tabaghdehi
dr asieh tabaghdehi is a senior lecturer in strategy and business economy, head of innovation, ai and technology management research group, programme lead for bsc international business, and lead at brunel's centre for ai: social and digital innovation at brunel university of london. she is also an economist and social impact advisor for the independent ngo, social innovation movement, and the founder and chair of the responsible ai and digital innovation in smes community of interest at isbe. asieh is a well-recognised academic in digital transformation, focusing on the strategic integration of artificial intelligence (ai) and digital technologies to advance sustainable business practices, and address critical social and economic challenges. from 2021 to 2022, asieh co-investigated the digital footprint project, funded by the uk research institute (ukri), that explored the ethical implications of digital footprint data on value creation for smes. one of the project outputs was the digital business auditing framework, which has been adopted internationally for smart city initiatives. asieh has attained an international reputation in the field of ethical integration and deployment of ai, particularly in the contexts of smart data governance. her research integrates industry collaboration, public engagement, and policy dialogue with an emphasis on the social and economic dimensions of responsible smart city development and innovative healthcare systems. asieh’s contributions have been widely cited in academic, practitioner, and policy outputs, and her research has informed national and international governments and businesses. her research on connected technology has been presented various time as both oral and written evidence to the house of commons select committee at the request of the department for digital, culture, media and sport (dcms) and has been featured in national and international press. she is widely published in academic peer-reviewed journals, the press, is a frequent speaker at academic and industry conferences, and has responded to a number of policy inquiries at national and international level. she is also the author of the book business strategies and ethical challenges in the digital ecosystem, which addresses multiple facets of the ai ecosystem, including data ethics, governance, and innovation. in collaboration with the department for business, energy & industrial strategy (beis), asieh co-designed the "digital adoption" module for the uk government’s help to grow management program, aimed at enhancing the digital capabilities of smes. asieh is a fellow of the uk higher education academy, a member of the esrc review college, the british academy of management review college, and the energy institute uk. she also serves as an associate practitioner at social value international, an associate member of the big innovation centre, and all-party parliamentary group (appg)- artificial intelligence. she is also a member of the centre for artificial intelligence: social and digital innovation at brunel university of london. currently, asieh serves as the impact lead at the brunel centre for ai, where she leads the capability area in the future of work. asieh earned her phd in economics and finance (2008) and msc in international money, finance, and investment (2015), both from brunel university london. she joined brunel in 2020 after holding academic positions at regent’s university london, where she also served as director for the bsc global management (finance pathway). prior to her academic career, she gained industry experience as a business analyst, further enriching her interdisciplinary approach to research and teaching. asieh’s research focuses on the digital transformation and its far-reaching socio-economic impacts, exploring how emerging technologies shape industries, labor markets, and society as a whole. she focuses on enhancing sme growth through technological innovation, examining how digital tools enable small and medium enterprises to scale, innovate, and remain competitive in an increasingly digital economy. her work spans several critical sectors, including social care, where she explores how digital transformation can enhance service delivery and equity; supply chain management, analysing how automation and ai drive efficiency and resilience; and environmental sustainability, with a particular emphasis on ai integration for decarbonization and achieving net-zero targets. in addition, asieh investigates the future of the labor market, considering how automation and ai reshape workforce dynamics, including job displacement, upskilling, and new job creation. a central theme in her research is the importance of smart data governance, ensuring the ethical, transparent, and responsible use of data by individuals and organisations as it becomes increasingly central to decision-making across sectors. she also focuses on the promotion of ethical ai technologies design and adoption, that prioritize fairness, accountability, transparency, and societal well-being. her research further addresses key topics such as emerging technology adoption, automation and the future of work, digital market dominance, and the ethical implications of these transformations. asieh’s research has been supported through economics and social research council at uk research institute (ukri) grants. current: international business (ug) international management (pg) final year project (disseration) (ug) strategic management (mba) research methods (phd) previous: oil and gas trading and risk management (msc) financial modelling and decision making (msc) corporate finance and financial theory (msc) financial engineering (msc) strategic management (mba) quantitative analysis in finance and investment (ug) research methods (msc and ug) business economics (ug) mathematics for economics (ug) statistics and quantitative methods for economics (ug) international business (ug) business forecasting (ug) micro economics (ug and msc) wealth management (ug) programme development: program title: trade2grow executive education url: module development: module title: issues and controversies for international business (final year project) date: 2021 lead brunel annual international business week evnet (2022 and 2023): successfully led and coordinated annual international business week events in 2022 and 2023, offering students practical insights and industry exposure through range of activites such as: expert panel discussions on global business trends interactive data analysis workshops using bloomberg terminals a field visit to the business show exhibition in london
![Dr Asieh Hosseini Tabaghdehi]()
Dr Asieh Hosseini Tabaghdehi
Dr Asieh Tabaghdehi is a Senior Lecturer in Strategy and Business Economy, Head of Innovation, AI and Technology Management Research Group, Programme Lead for BSc International Business, and Lead at Brunel's Centre for AI: Social and Digital Innovation at Brunel University of London. She is also an economist and social impact advisor for the independent NGO, Social Innovation Movement, and the Founder and Chair of the Responsible AI and Digital Innovation in SMEs Community of Interest at ISBE. Asieh is a well-recognised academic in digital transformation, focusing on the strategic integration of artificial intelligence (AI) and digital technologies to advance sustainable business practices, and address critical social and economic challenges. From 2021 to 2022, Asieh co-investigated the Digital Footprint Project, funded by the UK Research Institute (UKRI), that explored the ethical implications of digital footprint data on value creation for SMEs. One of the project outputs was the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Asieh has attained an international reputation in the field of ethical integration and deployment of AI, particularly in the contexts of smart data governance. Her research integrates industry collaboration, public engagement, and policy dialogue with an emphasis on the social and economic dimensions of responsible smart city development and innovative healthcare systems. Asieh’s contributions have been widely cited in academic, practitioner, and policy outputs, and her research has informed national and international governments and businesses. Her research on connected technology has been presented various time as both oral and written evidence to the House of Commons Select Committee at the request of the Department for Digital, Culture, Media and Sport (DCMS) and has been featured in national and international press. She is widely published in academic peer-reviewed journals, the press, is a frequent speaker at academic and industry conferences, and has responded to a number of policy inquiries at national and international level. She is also the author of the book Business Strategies and Ethical Challenges in the Digital Ecosystem, which addresses multiple facets of the AI ecosystem, including data ethics, governance, and innovation. In collaboration with the Department for Business, Energy & Industrial Strategy (BEIS), Asieh co-designed the "Digital Adoption" module for the UK Government’s Help to Grow Management program, aimed at enhancing the digital capabilities of SMEs. Asieh is a Fellow of the UK Higher Education Academy, a member of the ESRC Review College, the British Academy of Management Review College, and the Energy Institute UK. She also serves as an associate practitioner at Social Value International, an associate member of the Big Innovation Centre, and All-Party Parliamentary Group (APPG)- Artificial Intelligence. She is also a member of the Centre for Artificial Intelligence: Social and Digital Innovation at Brunel University of London. Currently, Asieh serves as the Impact Lead at the Brunel Centre for AI, where she leads the capability area in the Future of Work. Asieh earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She joined Brunel in 2020 after holding academic positions at Regent’s University London, where she also served as Director for the BSc Global Management (Finance Pathway). Prior to her academic career, she gained industry experience as a business analyst, further enriching her interdisciplinary approach to research and teaching. Asieh’s research focuses on the digital transformation and its far-reaching socio-economic impacts, exploring how emerging technologies shape industries, labor markets, and society as a whole. She focuses on enhancing SME growth through technological innovation, examining how digital tools enable small and medium enterprises to scale, innovate, and remain competitive in an increasingly digital economy. Her work spans several critical sectors, including social care, where she explores how digital transformation can enhance service delivery and equity; supply chain management, analysing how automation and AI drive efficiency and resilience; and environmental sustainability, with a particular emphasis on AI integration for decarbonization and achieving net-zero targets. In addition, Asieh investigates the future of the labor market, considering how automation and AI reshape workforce dynamics, including job displacement, upskilling, and new job creation. A central theme in her research is the importance of smart data governance, ensuring the ethical, transparent, and responsible use of data by individuals and organisations as it becomes increasingly central to decision-making across sectors. She also focuses on the promotion of ethical AI technologies design and adoption, that prioritize fairness, accountability, transparency, and societal well-being. Her research further addresses key topics such as emerging technology adoption, automation and the future of work, digital market dominance, and the ethical implications of these transformations. Asieh’s research has been supported through Economics and Social Research Council at UK Research Institute (UKRI) grants. Current: International Business (UG) International Management (PG) Final Year Project (Disseration) (UG) Strategic Management (MBA) Research Methods (PhD) Previous: Oil and Gas Trading and Risk Management (MSc) Financial Modelling and Decision Making (MSc) Corporate Finance and Financial Theory (MSc) Financial Engineering (MSc) Strategic Management (MBA) Quantitative Analysis in Finance and Investment (UG) Research Methods (MSC and UG) Business Economics (UG) Mathematics for Economics (UG) Statistics and Quantitative Methods for Economics (UG) International Business (UG) Business Forecasting (UG) Micro Economics (UG and MSc) Wealth Management (UG) Programme Development: Program title: Trade2Grow Executive Education URL: Module Development: Module Title: Issues and Controversies for International Business (Final Year Project) Date: 2021 Lead Brunel Annual International Business Week Evnet (2022 and 2023): Successfully led and coordinated Annual International Business Week events in 2022 and 2023, offering students practical insights and industry exposure through range of activites such as: Expert panel discussions on global business trends Interactive data analysis workshops using Bloomberg terminals A field visit to The Business Show exhibition in London
Boulgouris
nikolaos boulgouris is a reader (associate professor) with the department of electronic and electrical engineering of brunel university of london. from 2004 to 2010 he was an academic member of staff with king's college london, and before that he was a researcher with the department of electrical and computer engineering of the university of toronto, canada. nikolaos has published more than 100 papers in international journals and conferences (google scholar search) and he has participated in numerous national and international research consortia. dr. boulgouris served as senior area editor for the ieee transactions on image processing. in 2018 he served as technical program chair for the ieee international conference on image processing (icip). in the past he served as associate editor for the ieee transactions on circuits and systems for video technology, from which he received the 2017 best associate editor award, and also as associate editor for the ieee transactions on image processing, and the ieee signal processing letters. he was co-editor of the book biometrics: theory, methods, and applications, which was published by wiley - ieee press, and guest co-editor for two journal special issues. he served an elected member of the ieee multimedia signal processing technical committee (mmsp - tc). from 2014 to 2019, he served as an elected member of the ieee image, video, and multidimensional signal processing technical committee (ivmsp - tc). dr. boulgouris is a senior member of the ieee and a fellow of the higher education academy. please go to more details. artificial intelligence large language models explainable machine learning biometrics and biomedical signal analysis and recognition signal/image sensing, processing, and learning brain signal processing visual gait analysis and recognition signal processing for ndt relevant grants european commission/ukri, eloquence, horizon-cl4-2023-human-01-03: natural language understanding and interaction in advanced language technologies (ai data and robotics partnership), 2024-2026. (co-i) knowledge transfer partnership: "brunel university london and pb design," 2024-2027. (pi) stfc - science & technology facilities council, particle physics consolidated grant cms phase2 upgrade project, 2025-2027. (co-i) stfc - science & technology facilities council: "cms phase2 upgrade project", 2025-2026. (co-i) d-xpert: ai-based recommender system for smart energy saving, innovate uk, accelerating trustworthy ai: phase 2 collaborative r&d, 2024, (co-i). brunel research interdisciplinary lab award, natural participatory online interactions, december 2022-june 2023, (co-i) action on hearing loss, innovative techniques for precise atraumatic placement of cochlear implant, 1 october 2017 - 30 september 2020 (co-i) (pi: x. du) twi limited, improved structural integrity through enhanced electron beam monitoring, 1 february 2014 - 30 june 2015 (co-i) (pi: w. balachandran) twi limited, development of novel guided wave technique to inspect and monitor large and complex structures (phd studentship), 1 november 2012 - 31 october 2015 (co-i) (pi: w. balachandran) twi limited, advanced signal processing applied to imaging of large complex structures using guided ultrasound (phd studentship), 1 may 2012 - 30 april 2015 (pi) european commission, actibio - unobtrusive authentication using activity related and soft biometrics, march 2008 - february 2011 (pi)
![Dr Nikolaos Boulgouris]()
Dr Nikolaos Boulgouris
Nikolaos Boulgouris is a Reader (Associate Professor) with the Department of Electronic and Electrical Engineering of Brunel University of London. From 2004 to 2010 he was an academic member of staff with King's College London, and before that he was a researcher with the Department of Electrical and Computer Engineering of the University of Toronto, Canada. Nikolaos has published more than 100 papers in international journals and conferences (Google scholar search) and he has participated in numerous national and international research consortia. Dr. Boulgouris served as Senior Area Editor for the IEEE Transactions on Image Processing. In 2018 he served as Technical Program Chair for the IEEE International Conference on Image Processing (ICIP). In the past he served as Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology, from which he received the 2017 Best Associate Editor Award, and also as Associate Editor for the IEEE Transactions on Image Processing, and the IEEE Signal Processing Letters. He was co-editor of the book Biometrics: Theory, Methods, and Applications, which was published by Wiley - IEEE Press, and guest co-editor for two journal special issues. He served an elected member of the IEEE Multimedia Signal Processing Technical Committee (MMSP - TC). From 2014 to 2019, he served as an elected member of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP - TC). Dr. Boulgouris is a Senior Member of the IEEE and a Fellow of the Higher Education Academy. Please go to more details. Artificial Intelligence Large Language Models Explainable machine learning Biometrics and Biomedical signal analysis and recognition Signal/image sensing, processing, and learning Brain signal processing Visual gait analysis and recognition Signal processing for NDT Relevant grants European Commission/UKRI, ELOQUENCE, Horizon-CL4-2023-HUMAN-01-03: Natural Language Understanding and Interaction in Advanced Language Technologies (AI Data and Robotics Partnership), 2024-2026. (Co-I) Knowledge Transfer Partnership: "Brunel University London and PB Design," 2024-2027. (PI) STFC - Science & Technology Facilities Council, Particle Physics Consolidated Grant CMS Phase2 Upgrade Project, 2025-2027. (Co-I) STFC - Science & Technology Facilities Council: "CMS Phase2 Upgrade Project", 2025-2026. (Co-I) D-Xpert: AI-Based Recommender System for Smart Energy Saving, Innovate UK, Accelerating trustworthy AI: Phase 2 Collaborative R&D, 2024, (Co-I). Brunel Research Interdisciplinary Lab award, Natural participatory online interactions, December 2022-June 2023, (Co-I) Action on Hearing Loss, Innovative techniques for precise atraumatic placement of cochlear implant, 1 October 2017 - 30 September 2020 (Co-I) (PI: X. Du) TWI Limited, Improved structural integrity through enhanced electron beam monitoring, 1 February 2014 - 30 June 2015 (Co-I) (PI: W. Balachandran) TWI Limited, Development of novel guided wave technique to inspect and monitor large and complex structures (PhD Studentship), 1 November 2012 - 31 October 2015 (Co-I) (PI: W. Balachandran) TWI Limited, Advanced signal processing applied to imaging of large complex structures using guided ultrasound (PhD Studentship), 1 May 2012 - 30 April 2015 (PI) European Commission, ACTIBIO - unobtrusive authentication using activity related and soft biometrics, March 2008 - February 2011 (PI)
Gan
dr. lu gan received her b. eng and m. eng. degrees from south east university, china and the ph.d degree from nanyang technological university, singapore in 1998, 2000 and 2004 respectively. she is currently a reader in brunel university, london. before she joined brunel university in 2008, she has been on the faculties with the university of newcastle (2004-2006), australia and university of liverpool, uk (2006-2007). from 2003 to 2004, she was a research associate in centre for signal processing, nanyang technological university. dr. gan’s research interests include fundamental signal processing and machine learning theories and their applications in image/video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning and wireless communications etc. her research work has been funded by australian research council, the engineering and physical sciences research council (epsrc) uk, innovate uk, bbsrc, uk atomic energy authority and twi. she is a senior member of ieee and serves as associate editors for ieee signal processing letters, ieee trans on circuits and systems-i and meta reviewer (area chair) of icassp 2025. she has been a regular reviewer for many top journals including ieee transactions on information theory, ieee transactions on signal processing, ieee transactions on communications and ieee transactions on image processing etc. she is a panel member of royal society tranvel grants and has also been reviewing research grants in uk epsrc and uk stfc and fwo in belgium (equivalent to epsrc in uk). her google scholar file can be found here. her current research focus include: 1) ai model generalization and robustness 2) ai for safety and cyber-security 3) post-quantum blockchain and iot applicaitons 4) high dynamic range signal sampling using modulo adc 5) sparse signal processing for 5g wireless communication systems dr. l. gan’s main research interests are in fundamental signal processing theory and their application in multimedia signal processing, machine learning, wireless communications and radar. ee 2600 communications (50%) ee 3040 digital communications (67%) ee 5511 advanced digital communications (100%) ee5612//5653: communication network security (50%)
![Dr Lu Gan]()
Dr Lu Gan
Dr. Lu Gan received her B. Eng and M. Eng. degrees from South East University, China and the Ph.D degree from Nanyang Technological University, Singapore in 1998, 2000 and 2004 respectively. She is currently a Reader in Brunel University, London. Before she joined Brunel University in 2008, she has been on the faculties with The University of Newcastle (2004-2006), Australia and University of Liverpool, UK (2006-2007). From 2003 to 2004, she was a research associate in Centre for Signal Processing, Nanyang Technological University. Dr. Gan’s research interests include fundamental signal processing and machine learning theories and their applications in image/video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning and wireless communications etc. Her research work has been funded by Australian research council, The Engineering and Physical Sciences Research Council (EPSRC) UK, Innovate UK, BBSRC, UK atomic energy Authority and TWI. She is a senior member of IEEE and serves as Associate Editors for IEEE signal processing letters, IEEE Trans on Circuits and Systems-I and Meta Reviewer (Area Chair) of ICASSP 2025. She has been a regular reviewer for many top journals including IEEE Transactions on Information theory, IEEE Transactions on Signal Processing, IEEE transactions on Communications and IEEE transactions on image processing etc. She is a panel member of Royal Society Tranvel grants and has also been reviewing research grants in UK EPSRC and UK STFC and FWO in Belgium (equivalent to EPSRC in UK). Her google scholar file can be found here. Her current research focus include: 1) AI model generalization and robustness 2) AI for safety and cyber-security 3) Post-quantum blockchain and IoT applicaitons 4) High dynamic range signal sampling using Modulo ADC 5) Sparse signal processing for 5G wireless communication systems Dr. L. Gan’s main research interests are in fundamental signal processing theory and their application in multimedia signal processing, machine learning, wireless communications and radar. EE 2600 Communications (50%) EE 3040 Digital Communications (67%) EE 5511 Advanced Digital Communications (100%) EE5612//5653: Communication Network Security (50%)
Aburumman
nadine researches real-time computer graphics and leads the graphics and extended reality team (gert). she is a member of the centre for ai: social and digital innovation, where she co-coordinated the ai centre thought leadership series (tls) for two years (2023 and 2024). she is also a member of the interactive multimedia system (ims) research group. before joining brunel, nadine was a research associate at the institute of cognitive neuroscience (icn) at university college london (ucl). prior to that, she was a postdoctoral researcher at the computer science research institute of toulouse (irit) funded by centre international de mathématiques et informatique de toulouse (cimi) after a successful grant acquisition (fellowship) for 2 years (€ 100k). before that, she was a postdoctoral researcher at the friedrich-alexander university erlangen-nürnberg, in the institute for multiscale simulation (mss). she completed her phd studies in the alcor lab at sapienza university of rome after being awarded a phd erasmus mundus scholarship. computer graphics and animation: nadine has a broad interest in computer graphics and animation. her primary area of research includes interactive character animation, real-time skinning, deformation, finite element methods, particle-based simulations, smoothed particle hydrodynamics, implicit skinning, collision detection, contact, and interactive physics. immersive reality (vr/ar/xr): nadine is using vr/ar/xr in interdisciplinary research projects that include computing, cognitive neuroscience, social interaction, training, and education. vision and perception: slam, 3d reconstruction, feature detection, pattern recognition, structure from motion, and machine learning. external collaborators learning to care: the early development of empathy in brain and behaviour project with chiara bulgarelli and paola pinti from the toddlerlab, birkbeck, university of london (article in the guardian: here) respect4neurodevelopment project with chiara bulgarelli from the toddlerlab, birkbeck, university of london microtopia cs summer school for girls with prof ju-ling shih from national central university, taiwan droplet interactions with solid surface with prapanch nair from indian institute of technology delhi, india availability consultancy expert witness work collaborative projects conference participation as a speaker or panellist media enquiries supervision of research degrees technology validation/support advisory activities postdoctoral researcher fellowship epsrc postdoctoral fellowships dec 2023: responsive mode (here). this fellowship is for non-uk scientists who are at an early stage of their research career and wish to conduct research in the uk. this scheme will close to applications on 28 march 2023. apply (here). feel free to contact me, if you have any questions about this. for early career researchers, with a research record but who have not yet held a full-time permanent academic post, to undertake a significant piece of publishable work. the schema will close to applications on monday 27 february. apply (here). feel free to contact me, if you have any questions. computer graphics and animation physically based simulation computer vision spatial computing immersive reality (virtual reality vr, augmented reality ar, mixed reality xr) human computer interaction ai for graphics and vision generative ai for graphics ai-powered xr real-time visual and haptic feedback educational grant & award nadine has been nominated for the lecturer of the year award at the student led awards, 2024 and was awarded a runner-up lecturer of the year, university level. royal society partnership grants 2024 in partnership with bishopshalt school (£3k): how can ai and sensors help you create a smarter, more efficient garden? teaching areas computer graphics computer vision and machine learning digital image processing computer games advanced graphics and animation virtual, augmented, and mixed reality computational arts real-time physics for interactive graphics ai and robotics pg modules: module leader - mg5707- ai technologies for decision makers (level: postgraduate). msc dissertation supervision: cs5500 - msc dissertation (level: postgraduate- supervision). ug modules: partial duties/co-teaching: in (level: undergraduate) - cs3005 – digital media and games - cs3001/cs3606 – advanced topics in computer science (mixed reality) - cs2001 – (level: undergraduate) level 2 group project - cs3009 – human computer interaction (term 1, academic year 2020/2021) interim module leader for (level: undergraduate) cs1005 - logic and computation (march-august, 2022). final year project (fyp) supervision: cs3072/cs3605 – (level: undergraduate - supervision) level 3/ final year projects (fyp) [see here some of my students' work] placement supervision: cs2555 – (level: undergraduate - supervision) work placement (isc - thick) tutoring level 1: cs1701 – (level: undergraduate - supervision) level 1 group project (team) [see here a video of the finch robot code integration task] tutoring level 2: cs2001 – (level: undergraduate - supervision) level 2 group project (team) module reviewer: cs3607 – (level: undergraduate) e-business undergraduate/graduate supervision nadine supervised more than 140 undergraduate students at brunel (50 fyps, 62 level 2 group project, 18 level 1 group project, and 10 work placement students). nadine's student mariama kebbeh suko won the 2021 british computer society (bcs) prize for her fyp dissertation (vividlyarteaching african & black history with ar), a demo of mariam's project can be found here. brandon michael's work on exploring language pedagogy with virtual reality and artificial intelligence (fyp) has been accepted for publication at the 41st computer graphics & visual computing conference (cgvc) 2023. brandon's paper can be found (here). nadine supervised more than 16 msc successful dissertations (10 dissertations at brunel) between computer graphics, ai, and data analysis students, and (6 dissertations at ucl, uk, and irit, france). she marked in total 25 msc dissertations. summer internship supervision vasily bochagov (1st july - 30th august 2022) eduvr: a webvr interaction environment for remote collaboration. a demo can be found here. rozerin baran (1st july - 31st july 2023) equality, diversity and inclusion (edi project): be brunel: school outreach kits. huma gonen (1st june - 31st july 2025)
![Dr Nadine Aburumman]()
Dr Nadine Aburumman
Associate Dean EDI/Lecturer in Computer Science
Nadine researches real-time computer graphics and leads the Graphics and Extended Reality Team (GERT). She is a member of the Centre for AI: Social and Digital Innovation, where she co-coordinated the AI Centre Thought Leadership series (TLS) for two years (2023 and 2024). She is also a member of the Interactive Multimedia System (IMS) research group. Before joining Brunel, Nadine was a research associate at the Institute of Cognitive Neuroscience (ICN) at University College London (UCL). Prior to that, she was a postdoctoral researcher at the Computer Science Research Institute of Toulouse (IRIT) funded by Centre International de Mathématiques et Informatique de Toulouse (CIMI) after a successful grant acquisition (fellowship) for 2 years (€ 100K). Before that, she was a postdoctoral researcher at the Friedrich-Alexander University Erlangen-Nürnberg, in the Institute for Multiscale Simulation (MSS). She completed her PhD studies in the ALCOR Lab at Sapienza University of Rome after being awarded a PhD Erasmus Mundus Scholarship. Computer Graphics and Animation: Nadine has a broad interest in computer graphics and animation. Her primary area of research includes interactive character animation, real-time skinning, deformation, finite element methods, particle-based simulations, smoothed particle hydrodynamics, implicit skinning, collision detection, contact, and interactive physics. Immersive Reality (VR/AR/XR): Nadine is using VR/AR/XR in interdisciplinary research projects that include computing, cognitive neuroscience, social interaction, training, and education. Vision and Perception: SLAM, 3D reconstruction, feature detection, pattern recognition, structure from motion, and machine learning. External Collaborators Learning to Care: the Early Development of Empathy in Brain and Behaviour Project with Chiara Bulgarelli and Paola Pinti from the ToddlerLab, Birkbeck, University of London (Article in The Guardian: here) RESPECT4Neurodevelopment Project with Chiara Bulgarelli from the ToddlerLab, Birkbeck, University of London Microtopia CS Summer School for Girls with Prof Ju-Ling Shih from National Central University, Taiwan Droplet Interactions with Solid Surface with Prapanch Nair from Indian Institute of Technology Delhi, India Availability Consultancy Expert witness work Collaborative projects Conference participation as a speaker or panellist Media enquiries Supervision of research degrees Technology validation/support Advisory activities Postdoctoral Researcher Fellowship EPSRC postdoctoral fellowships Dec 2023: responsive mode (here). This fellowship is for non-UK scientists who are at an early stage of their research career and wish to conduct research in the UK. This scheme will close to applications on 28 March 2023. Apply (here). Feel free to contact me, if you have any questions about this. For early career researchers, with a research record but who have not yet held a full-time permanent academic post, to undertake a significant piece of publishable work. The schema will close to applications on Monday 27 February. Apply (here). Feel free to contact me, if you have any questions. Computer Graphics and Animation Physically based Simulation Computer Vision Spatial Computing Immersive Reality (Virtual reality VR, Augmented reality AR, Mixed reality XR) Human Computer Interaction AI for Graphics and Vision Generative AI for Graphics AI-powered XR Real-time Visual and Haptic Feedback Educational Grant & Award Nadine has been nominated for the Lecturer of the Year Award at the Student Led Awards, 2024 and was awarded a runner-up lecturer of the year, University Level. Royal Society Partnership Grants 2024 in partnership with Bishopshalt School (£3K): How can AI and sensors help you create a smarter, more efficient garden? Teaching areas Computer Graphics Computer Vision and Machine Learning Digital Image Processing Computer Games Advanced Graphics and Animation Virtual, Augmented, and Mixed Reality Computational Arts Real-time Physics for Interactive Graphics AI and Robotics PG Modules: Module leader - MG5707- AI Technologies for Decision Makers (Level: Postgraduate). MSc dissertation supervision: CS5500 - MSc Dissertation (Level: Postgraduate- Supervision). UG Modules: Partial duties/Co-teaching: in (Level: Undergraduate) - CS3005 – Digital Media and Games - CS3001/CS3606 – Advanced Topics in Computer Science (Mixed Reality) - CS2001 – (Level: Undergraduate) Level 2 Group Project - CS3009 – Human Computer Interaction (Term 1, Academic year 2020/2021) Interim module leader for (Level: Undergraduate) CS1005 - Logic and Computation (March-August, 2022). Final Year Project (FYP) supervision: CS3072/CS3605 – (Level: Undergraduate - Supervision) Level 3/ Final Year Projects (FYP) [See here some of my students' work] Placement Supervision: CS2555 – (Level: Undergraduate - supervision) Work Placement (ISC - thick) Tutoring Level 1: CS1701 – (Level: Undergraduate - supervision) Level 1 Group Project (team) [See here a video of the Finch Robot code integration task] Tutoring Level 2: CS2001 – (Level: Undergraduate - supervision) Level 2 Group Project (team) Module reviewer: CS3607 – (Level: Undergraduate) e-Business Undergraduate/Graduate Supervision Nadine supervised more than 140 undergraduate students at Brunel (50 FYPs, 62 Level 2 Group Project, 18 Level 1 Group Project, and 10 Work Placement students). Nadine's student Mariama Kebbeh Suko won the 2021 British Computer Society (BCS) prize for her FYP dissertation (VividlyARTeaching African & Black History with AR), a demo of Mariam's project can be found here. Brandon Michael's work on Exploring Language Pedagogy with Virtual Reality and Artificial Intelligence (FYP) has been accepted for publication at the 41st Computer Graphics & Visual Computing Conference (CGVC) 2023. Brandon's paper can be found (here). Nadine supervised more than 16 MSc successful dissertations (10 dissertations at Brunel) between Computer Graphics, AI, and Data Analysis students, and (6 dissertations at UCL, UK, and IRIT, France). She marked in total 25 MSc dissertations. Summer Internship Supervision Vasily Bochagov (1st July - 30th August 2022) EduVR: A WebVR Interaction Environment for Remote Collaboration. A demo can be found here. Rozerin Baran (1st July - 31st July 2023) Equality, Diversity and Inclusion (EDI project): Be Brunel: School Outreach Kits. Huma Gonen (1st June - 31st July 2025)
Colecchia
i have over 20 years of experience in research and development across academia and the private sector, specialising in emerging technologies. i have worked on multidiscplinary research projects in close collaboration with clinical organisations such as the ucl hospitals nhs trust, large industry partners such as qinetiq, and international research organisations such as the stanford linear accelerator center. formerly project leader in the private sector (pharmaceutical consulting), i have collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and engineering designers, thereby developing a robust understanding of interdisciplinary collaboration dynamics and a deep appreciation of knowledge exchange and research exploitation pathways. i am a senior member of the institute of electrical and electronics engineers (ieee), health and wellbeing lead as well as co-head of external engagement and partnership with the brunel centre for ai, and a member of the peer review college of the engineering & physical sciences research council (epsrc). i have considerable experience working with businesses and am available to explore opportunities for joint r&d bids, consultancy, and student projects. i am inviting applications from self-funded phd candidates. these phd projects are self-funded, so candidates applying for a full-time project need to have access to funds of their own to cover the university fees as well as living and accommodation expenses in london for the duration of the project (3 years full time). information about brunel phd fees and phd research funding can be found at the links below. feel free to reach out if you have any questions: federico.colecchia@brunel.ac.uk. brunel phd fees: (college of engineering, design and physical sciences). brunel research degree funding: applications are invited with reference to the phd project topics listed below. candidates interested in developing a phd project idea of their own are very much encouraged to contact me at federico.colecchia@brunel.ac.uk. design for early detection of symptoms of anxiety and depression in university students design of digital technology solutions to promote mental health design of virtual immersive environments to enable inclusive multimodal experiences design of virtual immersive environments for advanced anatomy training machine learning to accelerate health research user-centred design of digital interfaces to accelerate health research user-centred design to address health screening anxiety. my research focusses on the integration between technology development, to be interpreted as development of core technologies as well as development of new application use cases of technologies in their existing form, and human centred design. my work has a marked interdisciplinary character and a significant part of it has been carried out in close collaboration with private sector and clinical organisations. my current research focusses on machine learning (and artificial intelligence more broadly) and immersive technologies, with an emphasis on applications in the healthcare domain. i am a senior member of the institute of electrical and electronics engineers (ieee) and head of external engagement and partnership with the brunel centre for ai. i have 20+ years of r&d experience in academia and in the private sector, which has led to my establishment of a broad international network of academic and industrial collaborators. i have been active in higher education since 2002. i have led several undergraduate and postgraduate modules, and am presently in charge of a year 3 brunel design undergraduate module covering electronics and microcontroller programming for product design (fheq l6), of a year 2 undergraduate module on electronic systems, programming, and interfacing (fheq l6), and of the brunel design msc dissertation module (fheq l7). modules i previously ran include systems design (digital systems). i was awarded a doctoral degree (phd) in physics from the university of padova in 2001, following work on a large-scale physics experiment at the stanford linear accelerator center in the usa. i subsequently built an interdisciplinary research and innovation portfolio around applications of artificial intelligence across discipline boundaries, with an emphasis on the biomedical domain - brain tumour segmentation from mri scans, protein-dna binding site prediction, informed decision-making in the pharmaceutical sector. following my work in padova and at stanford, i have been a research staff member at university college london (ucl), brunel university london, and lund university, honorary research scientist with the ucl hospitals nhs foundation trust, and project leader in the private sector. my research has been funded by uk research councils, the eu, and private investors, and has involved close collaboration with multinational technology companies such as qinetiq. i have collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and designers, thereby developing a robust understanding of interdisciplinary collaboration dynamics and a deep appreciation of knowledge exchange and research exploitation pathways. i have published research in computer science, human-computer interaction, design, bioinformatics, and physics, and my academic articles have received more than 6,000 citations (researchgate, 2023). i am sole inventor on a us patent on distributed storage and visualisation of large relational datasets. i have delivered presentations at international conferences across academic fields, chaired conference sessions, and peer-reviewed scholarly publications in medicine, human-computer interaction, and physics. working across discipline boundaries has enabled me to publish in multiple journals and other publication outlets (from physical review letters to nucleic acids research to publications edited by the chartered institute of ergonomics & human factors). this has amplified considerably the academic impact of my research. researchgate: google scholar: emerging technologies and sustainable development. machine learning. artificial intelligence. immersive technologies. data mining. information visualisation. embedded electronics. human computer interaction. human centred design. module leader: dm5551, 'dissertation project', fheq l7 (brunel design school) module leader: dm3330, 'embedded systems for design', fheq l6 (brunel design school) module leader: dm2305, 'electronic systems, programming and interfacing', fheq l5 (brunel design school)
![Dr Federico Colecchia]()
Dr Federico Colecchia
I have over 20 years of experience in research and development across academia and the private sector, specialising in emerging technologies. I have worked on multidiscplinary research projects in close collaboration with clinical organisations such as the UCL Hospitals NHS Trust, large industry partners such as QinetiQ, and international research organisations such as the Stanford Linear Accelerator Center. Formerly project leader in the private sector (pharmaceutical consulting), I have collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and engineering designers, thereby developing a robust understanding of interdisciplinary collaboration dynamics and a deep appreciation of knowledge exchange and research exploitation pathways. I am a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), Health and Wellbeing Lead as well as Co-Head of External Engagement and Partnership with the Brunel Centre for AI, and a Member of the Peer Review College of the Engineering & Physical Sciences Research Council (EPSRC). I have considerable experience working with businesses and am available to explore opportunities for joint R&D bids, consultancy, and student projects. I am inviting applications from self-funded PhD candidates. These PhD projects are self-funded, so candidates applying for a full-time project need to have access to funds of their own to cover the university fees as well as living and accommodation expenses in London for the duration of the project (3 years full time). Information about Brunel PhD fees and PhD research funding can be found at the links below. Feel free to reach out if you have any questions: Federico.Colecchia@brunel.ac.uk. Brunel PhD fees: (College of Engineering, Design and Physical Sciences). Brunel research degree funding: Applications are invited with reference to the PhD project topics listed below. Candidates interested in developing a PhD project idea of their own are very much encouraged to contact me at Federico.Colecchia@brunel.ac.uk. Design for early detection of symptoms of anxiety and depression in university students Design of digital technology solutions to promote mental health Design of virtual immersive environments to enable inclusive multimodal experiences Design of virtual immersive environments for advanced anatomy training Machine learning to accelerate health research User-centred design of digital interfaces to accelerate health research User-centred design to address health screening anxiety. My research focusses on the integration between technology development, to be interpreted as development of core technologies as well as development of new application use cases of technologies in their existing form, and Human Centred Design. My work has a marked interdisciplinary character and a significant part of it has been carried out in close collaboration with private sector and clinical organisations. My current research focusses on machine learning (and artificial intelligence more broadly) and immersive technologies, with an emphasis on applications in the healthcare domain. I am a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and Head of External Engagement and Partnership with the Brunel Centre for AI. I have 20+ years of R&D experience in academia and in the private sector, which has led to my establishment of a broad international network of academic and industrial collaborators. I have been active in Higher Education since 2002. I have led several undergraduate and postgraduate modules, and am presently in charge of a Year 3 Brunel Design undergraduate module covering electronics and microcontroller programming for product design (FHEQ L6), of a Year 2 undergraduate module on electronic systems, programming, and interfacing (FHEQ L6), and of the Brunel Design MSc dissertation module (FHEQ L7). Modules I previously ran include Systems Design (digital systems). I was awarded a doctoral degree (PhD) in Physics from the University of Padova in 2001, following work on a large-scale physics experiment at the Stanford Linear Accelerator Center in the USA. I subsequently built an interdisciplinary research and innovation portfolio around applications of artificial intelligence across discipline boundaries, with an emphasis on the biomedical domain - brain tumour segmentation from MRI scans, protein-DNA binding site prediction, informed decision-making in the pharmaceutical sector. Following my work in Padova and at Stanford, I have been a research staff member at University College London (UCL), Brunel University London, and Lund University, honorary research scientist with the UCL Hospitals NHS Foundation Trust, and project leader in the private sector. My research has been funded by UK Research Councils, the EU, and private investors, and has involved close collaboration with multinational technology companies such as QinetiQ. I have collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and designers, thereby developing a robust understanding of interdisciplinary collaboration dynamics and a deep appreciation of knowledge exchange and research exploitation pathways. I have published research in computer science, human-computer interaction, design, bioinformatics, and physics, and my academic articles have received more than 6,000 citations (ResearchGate, 2023). I am sole inventor on a US patent on distributed storage and visualisation of large relational datasets. I have delivered presentations at international conferences across academic fields, chaired conference sessions, and peer-reviewed scholarly publications in medicine, human-computer interaction, and physics. Working across discipline boundaries has enabled me to publish in multiple journals and other publication outlets (from Physical Review Letters to Nucleic Acids Research to publications edited by the Chartered Institute of Ergonomics & Human Factors). This has amplified considerably the academic impact of my research. ResearchGate: Google Scholar: Emerging technologies and sustainable development. Machine learning. Artificial Intelligence. Immersive technologies. Data mining. Information visualisation. Embedded electronics. Human Computer Interaction. Human Centred Design. Module leader: DM5551, 'Dissertation Project', FHEQ L7 (Brunel Design School) Module leader: DM3330, 'Embedded Systems for Design', FHEQ L6 (Brunel Design School) Module leader: DM2305, 'Electronic Systems, Programming and Interfacing', FHEQ L5 (Brunel Design School)
Sengul
cigdem has more than ten years of experience in research and development in mobile and wireless networks in both academia and industry. she has been working on standards for building privacy and trust in the internet of things during her time at nominet as a senior researcher (2015-2019). between 2012-2015, she worked as a senior lecturer at oxford brookes university, where she lectured and conducted research on wireless and mobile networks, with a particular focus on energy and interference efficiency, and internet of robotic things. from 2008-2012, she was with telekom innovation labs (the main research unit of deutsche telekom) as a senior research scientist leading projects on wireless mesh networks. her work has been published in more than 50 journal and conference publications. she is a fulbright, department of computer science, uiuc and vodafone fellow. cigdem is a passionate advocate of increasing diversity awareness in computing. she is the communication co-chair of acm women. between 2019-2022, she was the communication and outreach chair of acm women-europe. she collaborates with the micro:bit educational foundation to support their mission of teaching coding to school children. she is the co-author of the networking with the micro:bit book. while we think the internet mostly composed of traditional computers and networks, this view cannot withstand the evolution of technologies such as the internet of things. internet of things (iot) refers to a "system of interconnections between digital technologies and physical objects that enable (traditionally mundane) objects to exhibit computing properties and interact with another with or without human intervention." as iot, interactive technologies such as augmented reality, and personalised digital experience with, e.g. wearable devices mature, we will have more "ambient computing" with tight integration between humans and technology. complemented with advances in machine learning and artificial intelligence, these systems will have a powerful impact on society. internet-based technologies have been transformational creating value and enabling progress in many ways, but it is important to acknowledge the potential of real harms if the rights and safety of people are not protected. therefore, my research is on trustworthy systems which provide higher degrees of trust for service providers and their users by improving the transparency, accountability, and controllability of the internet at the network and applications level. the goal is to create systems that are not a "black box" to their users, but systems with transparency, accountability, and controllability properties. creating trustworthy systems requires solving a wide range of cross-disciplinary challenges, for instance in the fields of digital ethics, privacy-enhancing technologies, computer systems, networks and their security, business and education. my main areas of work focus on:- internet of things: from device to edge, and cloud- security, privacy and trust by design- citizen-centricity and citizen-driven solutions for smart systems- real experimentation, deployments, open platforms internet of things, security and privacy, personal data protection. i am the module leader for cs2001 - year 2 project. i also supervise fyp projects. if you would like to do an fyp project with me, here are my interests informed my teaching, research and service. my research area is on the internet of things, with an emphasis on privacy and security. lately, i’ve been contributing to the standardisation efforts in access control for constrained environments in the ietf (internet engineering task force). i also work on physical computing for teaching networking, e.g. with bbc micro:bits. finally, i am the athena swan chair, and equality and diversity champion and would be interested in exploring computing projects that aim to improve diversity. i would be interested in supervising projects with any of the following elements: security in iot data protection and privacy especially in iot physical-computing for computer science education. networks simulation, and data analysis example project ideas privacy and data protection automatic user privacy policy generation based on user consent scenario exploration games to learn from user privacy sensitivities in smart homes (something like education with physical computing radio-based games for networking or ai education with bbc micro:bits iot, computer networks and security the implementation of encrypted publish-subscribe group communication as described in the ietf ace pub-sub profile securing mqtt for sensor networks (mqtt-sn) based on the ietf ace (authentication and authorization in constrained environments) framework diversity analysis of gender diversity in wikipedia using data pulled from wikimedia api. happy to talk to students about their own ideas.
![Dr Cigdem Sengul]()
Dr Cigdem Sengul
Cigdem has more than ten years of experience in research and development in mobile and wireless networks in both academia and industry. She has been working on standards for building privacy and trust in the Internet of Things during her time at Nominet as a Senior Researcher (2015-2019). Between 2012-2015, she worked as a Senior Lecturer at Oxford Brookes University, where she lectured and conducted research on wireless and mobile networks, with a particular focus on energy and interference efficiency, and Internet of Robotic Things. From 2008-2012, she was with Telekom Innovation Labs (the main research unit of Deutsche Telekom) as a Senior Research Scientist leading projects on Wireless Mesh Networks. Her work has been published in more than 50 journal and conference publications. She is a Fulbright, Department of Computer Science, UIUC and Vodafone fellow. Cigdem is a passionate advocate of increasing diversity awareness in computing. She is the Communication Co-Chair of ACM Women. Between 2019-2022, she was the Communication and Outreach Chair of ACM Women-Europe. She collaborates with the Micro:bit Educational Foundation to support their mission of teaching coding to school children. She is the co-author of the Networking with the Micro:bit book. While we think the Internet mostly composed of traditional computers and networks, this view cannot withstand the evolution of technologies such as the Internet of Things. Internet of Things (IoT) refers to a "system of interconnections between digital technologies and physical objects that enable (traditionally mundane) objects to exhibit computing properties and interact with another with or without human intervention." As IoT, interactive technologies such as augmented reality, and personalised digital experience with, e.g. wearable devices mature, we will have more "ambient computing" with tight integration between humans and technology. Complemented with advances in machine learning and artificial intelligence, these systems will have a powerful impact on society. Internet-based technologies have been transformational creating value and enabling progress in many ways, but it is important to acknowledge the potential of real harms if the rights and safety of people are not protected. Therefore, my research is on trustworthy systems which provide higher degrees of trust for service providers and their users by improving the transparency, accountability, and controllability of the Internet at the network and applications level. The goal is to create systems that are not a "black box" to their users, but systems with transparency, accountability, and controllability properties. Creating trustworthy systems requires solving a wide range of cross-disciplinary challenges, for instance in the fields of digital ethics, privacy-enhancing technologies, computer systems, networks and their security, business and education. My main areas of work focus on:- Internet of Things: From Device to Edge, and Cloud- Security, Privacy and Trust by Design- Citizen-centricity and citizen-driven solutions for smart systems- Real experimentation, deployments, open platforms Internet of Things, Security and Privacy, Personal Data Protection. I am the module leader for CS2001 - Year 2 Project. I also supervise FYP Projects. If you would like to do an FYP project with me, here are my interests informed my teaching, research and service. My research area is on the Internet of Things, with an emphasis on privacy and security. Lately, I’ve been contributing to the standardisation efforts in access control for constrained environments in the IETF (Internet Engineering Task Force). I also work on physical computing for teaching networking, e.g. with BBC micro:bits. Finally, I am the Athena SWAN chair, and equality and diversity champion and would be interested in exploring computing projects that aim to improve diversity. I would be interested in supervising projects with any of the following elements: Security in IoT Data protection and privacy especially in IoT Physical-computing for computer science education. Networks simulation, and data analysis Example project ideas Privacy and Data Protection Automatic user privacy policy generation based on user consent Scenario exploration games to learn from user privacy sensitivities in smart homes (something like Education with Physical Computing Radio-based games for networking or AI education with BBC micro:bits IoT, Computer Networks and Security The implementation of encrypted publish-subscribe group communication as described in the IETF ACE Pub-Sub profile Securing MQTT for Sensor Networks (MQTT-SN) based on the IETF ACE (Authentication and Authorization in Constrained Environments) framework Diversity Analysis of Gender Diversity in Wikipedia using data pulled from WikiMedia API. Happy to talk to students about their own ideas.
Wang
academic career senior lectuer (associate professor), department of mechanical and aerospace engineering, brunel university london, 2024 - present. lecturer (assistant professor), department of mechanical and aerospace engineering, brunel university london, 2021 - 2024. research fellow, rolls-royce utc in manufacturing and on-wing technology, department of mechanical, materials and manufacturing engineering, university of nottingham, 2017-2021. senior research associate, national centre for precision farming, harper adams university, 2016-2017. academic and professional qualifications fhea, fellow of the higher education academy, uk, 2023. ceng, chartered engineer, engineering council uk, 2022. p.hd., university of cassino and south lazio, italy, 2016. m.sc. (distinction), central south university, china, 2012. b.eng. (hons), central south university, china, 2008. research expertise and interests continuum robotic systems for in-situ maintenance (inspection and repair) in confined environments(e.g. aeroengine and nuclear). legged robotic systems with parallel mechanisms (e.g. humanoid and hexapod robots). soft robotic systems with embedded sensing (e.g. soft fruit havesting robot). precision farming robotic systems (e.g. laser weeding robot). miniaturised robotic systems (e.g. capsule robot) research grants co-i, “integration and testing of a cochlear implant insertion robot", rnid-phd studentships, £85,89, 04/2024-03/2027. pi: "field-trial of novel compliant end-effectors for train fluid servicing", impact acceleration account- brunel university (ep/x525510/1), £25,427.9, 06/2022-06/2024. pi: “machine learning based overall performance optimisation for railway fluids service robots", brunel research initiative & enterprise fund (brief), £14,835, 06/2022-12/2023. pi, "optimal design of a walking machine for in-situ maintenance and repair in hazardous environments", impact acceleration account - brunel university (epsrc ep/r511493/1), £25,000, 03/2022-03/2023. pi: "self-coordinated locomotion and manipulation of the rain-hex", robotics and artificial intelligence in nuclear (epsrc ep/r026084/1), £36,834.11, 11/2021-03/2022. co-i, "coordinated whole-body control and overall performance optimisation for a mobile snake-like robotic arm", international exchanges 2020 cost share (nsfc) (iec/nsfc/201279), £12,000, 03/2021-03/2022. co-i, "in-situ sampling for inspection of pressurised water reactor using rain-hex robot", robotics and artificial intelligence in nuclear (epsrc ep/r026084/1), £25,000, 06/2020-12/2020. co-i, "self-calibration system to enhance machining capability of the rain-hex", robotics and artificial intelligence in nuclear (epsrc ep/r026084/1), £25,000, 06/2019-02/2020. pi, "comprehensive modelling of slender continuum robots using twin-pivot compliant joints", through-life performance: from science to instrumentation (epsrc ep/p027121/1), £83,000, 06/2019-05/2019. award brief award, brunel research initiative and enterprise fund, 2022 best paper post nomination, towards autonomous robotic systems conference (taros), 2022 best paper of year 2021, surface topography: metrology and properties, 2022 best paper award, iftomm asian mechanisms and machine science conference (asian-mms), 2014. iftomm young delegates programm, 2014, 2015. excellent student scholarship in lazio, italy, 2013/14, 2014/15. innovative design, modelling and control of specialised robotic systems: - robots for inspection and maintenance: continuum robots, composed of multiple small-diameter bendable sections, are promising to be applied to access and operate in confined spaces for which a wide range of practical applications have been presented (e.g. minimally invasive surgery, nuclear facility decommissioning, aircraft maintenance). his expertise is mainly focused on the ones with an extra slender structure (i.e. diameter-to-length ratio < 0.02 with at least meter-like length), which is unique as it’s challenging not only in the design stage but also the modelling and control in a precise way. starting from the fundamental study, the physical prototype of an extra slender continuum robot has been developed and demonstrated with high trl (>5) in the real scenario, which provides a promising solution for inspection and maintenance operation in-situ. - mobile robots: legged robots, consisting of two or multiple legs, are the most promising among ground robots for locomotion flexibility as compared with the wheeled and tracked counterparts. his expertise is mainly focused on the biped and hexapod robots with peculiar designs based on parallel mechanisms, which are fundamentally different from the existing serial mechanism based ones. thanks to the unique advantages of parallel mechanisms, the elaborated biped robot is capable of walking stably with a payload of approx. 3 times its weight, while the hexapod one can perform advanced walking and machining operations in extreme environments (e.g. nuclear facility). ​ - miniaturised robots: capsule robots, composed of a locomotion module and several functional modules (e.g. vision, wireless communication, drug), are promising to be revolutionary early diagnosis and treatment devices for gastrointestinal (gi) diseases. his expertise is primarily focused on the active locomotion and drug delivery modules, which not only allow capsule robots self-propelling and docking at the interest area for diagnosing, but also have other functions such as biopsy and drug release.​​​ dr wang is engaged in teaching and project supervision at the undergraduate (ug) and postgraduate (pg) levels with the following modules: ug modules: me3624 - introduction to robotics and ai applications in engineering (module contributor, 50% of full module) me3620 - beng major individual project (supervision) me3623 - group design project (supervision) pg modules: mn5674/5694 - robotics and automation (module leader) me5500 - msc dissertation project (supervision) me5308/ee5098 - meng group project (supervision)
![Dr Mingfeng Wang]()
Dr Mingfeng Wang
Academic Career Senior Lectuer (Associate Professor), Department of Mechanical and Aerospace Engineering, Brunel University London, 2024 - present. Lecturer (Assistant Professor), Department of Mechanical and Aerospace Engineering, Brunel University London, 2021 - 2024. Research Fellow, Rolls-Royce UTC in Manufacturing and On-Wing Technology, Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham, 2017-2021. Senior Research Associate, National Centre for Precision Farming, Harper Adams University, 2016-2017. Academic and Professional Qualifications FHEA, Fellow of the Higher Education Academy, UK, 2023. CEng, Chartered Engineer, Engineering Council UK, 2022. P.hD., University of Cassino and South Lazio, Italy, 2016. M.Sc. (Distinction), Central South University, China, 2012. B.Eng. (Hons), Central South University, China, 2008. Research Expertise and Interests Continuum robotic systems for in-situ maintenance (inspection and repair) in confined environments(e.g. aeroengine and nuclear). Legged robotic systems with parallel mechanisms (e.g. humanoid and hexapod robots). Soft robotic systems with embedded sensing (e.g. soft fruit havesting robot). Precision farming robotic systems (e.g. laser weeding robot). Miniaturised robotic systems (e.g. capsule robot) Research Grants Co-I, “Integration and testing of a cochlear implant insertion robot", RNID-PhD studentships, £85,89, 04/2024-03/2027. PI: "Field-trial of novel compliant end-effectors for train fluid servicing", Impact Acceleration Account- Brunel University (EP/X525510/1), £25,427.9, 06/2022-06/2024. PI: “Machine learning based overall performance optimisation for railway fluids service robots", Brunel Research Initiative & Enterprise Fund (BRIEF), £14,835, 06/2022-12/2023. PI, "Optimal design of a walking machine for in-situ maintenance and repair in hazardous environments", Impact Acceleration Account - Brunel University (EPSRC EP/R511493/1), £25,000, 03/2022-03/2023. PI: "Self-coordinated Locomotion and Manipulation of the RAIN-Hex", Robotics and Artificial Intelligence in Nuclear (EPSRC EP/R026084/1), £36,834.11, 11/2021-03/2022. Co-I, "Coordinated whole-body control and overall performance optimisation for a mobile snake-like robotic arm", International Exchanges 2020 Cost Share (NSFC) (IEC/NSFC/201279), £12,000, 03/2021-03/2022. Co-I, "In-situ sampling for inspection of pressurised water reactor using RAIN-Hex robot", Robotics and Artificial Intelligence in Nuclear (EPSRC EP/R026084/1), £25,000, 06/2020-12/2020. Co-I, "Self-calibration system to enhance machining capability of the RAIN-Hex", Robotics and Artificial Intelligence in Nuclear (EPSRC EP/R026084/1), £25,000, 06/2019-02/2020. PI, "Comprehensive modelling of slender continuum robots using twin-pivot compliant joints", Through-life performance: From science to instrumentation (EPSRC EP/P027121/1), £83,000, 06/2019-05/2019. Award BRIEF award, Brunel Research Initiative and Enterprise Fund, 2022 Best paper post nomination, Towards Autonomous Robotic Systems Conference (TAROS), 2022 Best paper of Year 2021, Surface Topography: Metrology and Properties, 2022 Best paper award, IFToMM Asian Mechanisms and Machine Science Conference (Asian-MMS), 2014. IFToMM Young Delegates Programm, 2014, 2015. Excellent Student Scholarship in Lazio, Italy, 2013/14, 2014/15. Innovative design, modelling and control of specialised robotic systems: - Robots for inspection and maintenance: Continuum robots, composed of multiple small-diameter bendable sections, are promising to be applied to access and operate in confined spaces for which a wide range of practical applications have been presented (e.g. minimally invasive surgery, nuclear facility decommissioning, aircraft maintenance). His expertise is mainly focused on the ones with an extra slender structure (i.e. diameter-to-length ratio < 0.02 with at least meter-like length), which is unique as it’s challenging not only in the design stage but also the modelling and control in a precise way. Starting from the fundamental study, the physical prototype of an extra slender continuum robot has been developed and demonstrated with high TRL (>5) in the real scenario, which provides a promising solution for inspection and maintenance operation in-situ. - Mobile Robots: Legged robots, consisting of two or multiple legs, are the most promising among ground robots for locomotion flexibility as compared with the wheeled and tracked counterparts. His expertise is mainly focused on the biped and hexapod robots with peculiar designs based on parallel mechanisms, which are fundamentally different from the existing serial mechanism based ones. Thanks to the unique advantages of parallel mechanisms, the elaborated biped robot is capable of walking stably with a payload of approx. 3 times its weight, while the hexapod one can perform advanced walking and machining operations in extreme environments (e.g. nuclear facility). ​ - Miniaturised Robots: Capsule robots, composed of a locomotion module and several functional modules (e.g. vision, wireless communication, drug), are promising to be revolutionary early diagnosis and treatment devices for gastrointestinal (GI) diseases. His expertise is primarily focused on the active locomotion and drug delivery modules, which not only allow capsule robots self-propelling and docking at the interest area for diagnosing, but also have other functions such as biopsy and drug release.​​​ Dr Wang is engaged in teaching and project supervision at the undergraduate (UG) and postgraduate (PG) levels with the following modules: UG Modules: ME3624 - Introduction to Robotics and AI Applications in Engineering (module contributor, 50% of full module) ME3620 - BEng Major Individual Project (supervision) ME3623 - Group Design Project (supervision) PG Modules: MN5674/5694 - Robotics and Automation (module leader) ME5500 - MSc Dissertation Project (supervision) ME5308/EE5098 - MEng Group Project (supervision)
Al-Raweshidy
hamed al-raweshidy is professor of communications engineering and has been awarded beng and msc from university of technology/baghdad in 1977 and 1980 respectively. he completed his post graduate diploma from glasgow university/ glasgow/ uk in 1987. he awarded his phd in 1991 from strathclyde university in glasgow/uk. he was with space and astronomy research centre/iraq, perkinelmer/usa, carl zeiss/germany, british telecom/uk, oxford university, manchester met.university and kent university. professor al-raweshidy is currently the director of the wireless networks and communications centre (wncc) and director of pg studies (ece) at brunel university, london, uk. he published over 370 papers in international journals and referred conferences. he is the editor of the first book in radio over fibre technologies for mobile communications networks. he has acted as guest editor for the international journal of wireless personal communications. he is a member of several journal editorial boards such as journal of wireless personal communications. professor al-raweshidy acts as a consultant and involved in projects with several companies and operators such as vodafone (uk), ericsson (sweden), andrew (usa), nec (japan), nokia (finland), siemens (germany), franc telecom (france), thales (uk & france) and tekmar (italy). he is a principal investigator for several epsrc projects and european project such as magnet eu project (ip) 2004-2008. he is a member of several international conference advisory committees and technical program committees such as vtc, pimrc, globecom, wpmc and ist. he has organised several workshops on wireless technology in europe and japan. he is on the epsrc peer review college /uk and review panel for eu commission, hong kong and cyprus. he has been invited to deliver research lectures in delft university (holland), chalmers university (sweden), university of valenciennes (france) and aalborg university (denmark). he is phd external examiner for several british universities such as oxford, ucl, leeds, kings college, cardiff, new castle, strathclyde and surrey. he is a member of networld 2020 network which is the top technology platform in europe and it advise european commission for research directions in communications for the next 10-15 years. he has been invited to give a lecture at eu commission (future internet/2010), photonics21/ 2010 in brussels. in addition, he is represnting brunel university london in wwrf. he was an external examinar for wirless communications msc course for kings college london / university of london. he is an external examinar for queen mary university of london and bejing university of posts & telecommunications. he is a reviewer for several governmental agencies such as cyprus, greece, holland, uk and hong kong. his current research area are beyond 5g and 6g such as 6g quantum and ai, ris with quantum and ai, near and far edge, iot with ai, radio over fibre for iot with quantum and ai, off loading and and load balancing with ai and cyber security. his current research area are beyond 5g and 6g such as 6g quantum and ai, ris with quantum and ai, near and far edge, iot with ai, radio over fibre for iot with quantum and ai, off loading and and load balancing with ai and cyber security.
![Professor Hamed Al-Raweshidy]()
Professor Hamed Al-Raweshidy
Hamed Al-Raweshidy is professor of Communications Engineering and has been awarded BEng and MSc from University of Technology/Baghdad in 1977 and 1980 respectively. He completed his Post Graduate Diploma from Glasgow University/ Glasgow/ UK in 1987. He awarded his PhD in 1991 from Strathclyde University in Glasgow/UK. He was with Space and Astronomy Research Centre/Iraq, PerkinElmer/USA, Carl Zeiss/Germany, British Telecom/UK, Oxford University, Manchester Met.University and Kent University. Professor Al-Raweshidy is currently the Director of the Wireless Networks and Communications Centre (WNCC) and Director of PG studies (ECE) at Brunel University, London, UK. He published over 370 papers in International Journals and referred conferences. He is the editor of the first book in Radio over Fibre Technologies for Mobile Communications Networks. He has acted as Guest editor for the International Journal of Wireless Personal Communications. He is a member of several Journal Editorial Boards such as Journal of Wireless Personal Communications. Professor Al-Raweshidy acts as a consultant and involved in projects with several companies and operators such as Vodafone (UK), Ericsson (Sweden), Andrew (USA), NEC (Japan), Nokia (Finland), Siemens (Germany), Franc Telecom (France), Thales (UK & France) and Tekmar (Italy). He is a principal investigator for several EPSRC projects and European project such as MAGNET EU project (IP) 2004-2008. He is a member of several International Conference Advisory Committees and Technical Program Committees such as VTC, PIMRC, GLOBECOM, WPMC and IST. He has organised several Workshops on Wireless Technology in Europe and Japan. He is on the EPSRC peer Review College /UK and Review Panel for EU Commission, Hong Kong and Cyprus. He has been invited to deliver research lectures in Delft University (Holland), Chalmers University (Sweden), University of Valenciennes (France) and Aalborg University (Denmark). He is PhD external examiner for several British universities such as Oxford, UCL, Leeds, Kings College, Cardiff, New Castle, Strathclyde and Surrey. He is a member of NETworld 2020 Network which is the top Technology Platform in Europe and it advise European Commission for research directions in communications for the next 10-15 years. He has been invited to give a lecture at EU Commission (Future Internet/2010), Photonics21/ 2010 in Brussels. In addition, he is represnting Brunel University London in WWRF. He was an external examinar for Wirless Communications MSc course for Kings College London / University of London. He is an external examinar for Queen Mary University of London and Bejing University of Posts & Telecommunications. He is a reviewer for several Governmental Agencies such as Cyprus, Greece, Holland, UK and Hong Kong. His current research area are beyond 5G and 6G such as 6G Quantum and AI, RIS with Quantum and AI, Near and Far Edge, IoT with AI, Radio over Fibre for IoT with Quantum and AI, Off Loading and and Load Balancing with AI and Cyber Security. His current research area are beyond 5G and 6G such as 6G Quantum and AI, RIS with Quantum and AI, Near and Far Edge, IoT with AI, Radio over Fibre for IoT with Quantum and AI, Off Loading and and Load Balancing with AI and Cyber Security.
Uygur
ezgi (phd, fhea) is a lecturer in digital marketing and social media lead at brunel business school and a human-technology interaction researcher. her primary research interest has focused on the contexts of robotic services, virtual experiences, and the social influence effects in those settings. ezgi published in international academic journals, such as annals of tourism research, journal of consumer behaviour, and behaviour & information technology. she is the recipient of prestigious funds such as the british academy/leverhulme and marketing trust and the best paper award in the ama winter conference. her research was mentioned in prestigious media outlets such as the conversation and stanford social innovation review (ssir). she currently serves in the editorial review board of psychology & marketing. topics she is interested in include the following: robotic services virtual experiences algorithmic digital nudging social influence self-construal mainly trained in consumer psychology using experimental methodology, she is interested in examining how various experiences (such as together-alone experiences, and virtual experiences) affect individual consumers. her recent works look at the role of algorithmic and robotic services` impact on consumers and desired marketing outcomes. over the years, she has established several fruitful research partnerships with co-authors from other countries, including sweden, denmark, and turkey. she frequently collaborates across disciplines, serves in external boards and currently serves as rda in two phd student committees and co-supervising an external phd student. courses taught: bsc marketing mg2604 digital marketing (lead) mg3605 crm and database marketing (lead) mg3617 tech, robots, and ai in marketing (lead) mg2612 b2b marketing (seminar lead) mg2609 consumer behaviour (seminar lead) msc marketing mg5610 consumer behaviour (co-teach) msc business analytics & digital marketing (avg. class size: 65) mg5624 digital marketing (co-teach) mba (avg. class size: 65) mg5537 masterclass in social media for business (lead) futurelearn remote learning msc business analytics & digital marketing mg5624 digital marketing cpd executive education short course building an ai-digital experience ezgi supervised more than 50 msc dissertations, acted as personal tutor to 40 students annually, and in phd supervision teams of 4 students.
![Dr Ezgi Merdin Uygur]()
Dr Ezgi Merdin Uygur
Ezgi (PhD, FHEA) is a Lecturer in Digital Marketing and Social Media Lead at Brunel Business School and a Human-Technology Interaction Researcher. Her primary research interest has focused on the contexts of robotic services, virtual experiences, and the social influence effects in those settings. Ezgi published in international academic journals, such as Annals of Tourism Research, Journal of Consumer Behaviour, and Behaviour & Information Technology. She is the recipient of prestigious funds such as the British Academy/Leverhulme and Marketing Trust and the Best Paper Award in the AMA Winter Conference. Her research was mentioned in prestigious media outlets such as the Conversation and Stanford Social Innovation Review (SSIR). She currently serves in the Editorial Review Board of Psychology & Marketing. Topics she is interested in include the following: robotic services virtual experiences algorithmic digital nudging social influence self-construal Mainly trained in consumer psychology using experimental methodology, she is interested in examining how various experiences (such as together-alone experiences, and virtual experiences) affect individual consumers. Her recent works look at the role of algorithmic and robotic services` impact on consumers and desired marketing outcomes. Over the years, she has established several fruitful research partnerships with co-authors from other countries, including Sweden, Denmark, and Turkey. She frequently collaborates across disciplines, serves in external boards and currently serves as RDA in two PhD student committees and co-supervising an external PhD student. Courses Taught: BSc Marketing MG2604 Digital Marketing (lead) MG3605 CRM and Database Marketing (lead) MG3617 Tech, Robots, and AI in Marketing (lead) MG2612 B2B Marketing (seminar lead) MG2609 Consumer Behaviour (seminar lead) MSc Marketing MG5610 Consumer Behaviour (co-teach) MSc Business Analytics & Digital Marketing (avg. class size: 65) MG5624 Digital Marketing (co-teach) MBA (avg. class size: 65) MG5537 Masterclass in Social Media for Business (lead) FutureLearn Remote Learning MSc Business Analytics & Digital Marketing MG5624 Digital Marketing CPD Executive Education Short Course Building an AI-Digital Experience Ezgi supervised more than 50 MSc dissertations, acted as personal tutor to 40 students annually, and in PhD supervision teams of 4 students.
Conway
professor joy conway is the professor of respiratory sciences, centre for health, medicine and life sciences, brunel university london. joy has extensive experience as a researcher and educator with over 25 years in uk higher education institutions. joy has a strong interest in lung disease, the care of those with lung disease, respiratory physiology and pathophysiology and lung imaging. following qualification as a chartered physiotherapist and a masters in rehabilitation (university of southampton) her phd (university of southampton) investigated the use of three-dimensional lung imaging techniques to quantify inhaled aerosol deposition in the lung and structural and functional changes that occur with disease. joy then progressed through to a personal chair at the university of southampton in 2009. in 2019 joy was appointed as professor of respiratory sciences at brunel university london. joy is also the national research lead for advancing practice for health education england and maintains visiting professor status with the nihr southampton biomedical research centre for respiratory and critical care respiratory care; lung imaging; single photon computed tomography; magnetic resonance imaging; computed tomography; lung ultrasound; pulmonary function testing; mixed-methods approach; clinical trials; machine learning and ai; smart technology and smart wearables; inhaled aerosols; inhaler design and inhaler use; smart inhalers; educational interventions to improve inhaler use. interested in: clinical imaging – all forms – hrct, nuclear medicine, mri, ultrasound modelling of data – cfd, topology, mathematical modelling of function/events all aspects of respiratory function, pathology and care – mixed methods, pulmonary rehabilitation aerosols – inhaled aerosols, clinical effect of inhaled medicines, formulation design, inhaler design machine learning and ai of multiple data sources to predict clinical events
![Professor Joy Conway]()
Professor Joy Conway
Professor Joy Conway is the Professor of Respiratory Sciences, Centre for Health, Medicine and Life Sciences, Brunel University London. Joy has extensive experience as a researcher and educator with over 25 years in UK Higher Education Institutions. Joy has a strong interest in lung disease, the care of those with lung disease, respiratory physiology and pathophysiology and lung imaging. Following qualification as a chartered physiotherapist and a Masters in Rehabilitation (University of Southampton) her PhD (University of Southampton) investigated the use of three-dimensional lung imaging techniques to quantify inhaled aerosol deposition in the lung and structural and functional changes that occur with disease. Joy then progressed through to a personal Chair at the University of Southampton in 2009. In 2019 Joy was appointed as Professor of Respiratory Sciences at Brunel University London. Joy is also the national research lead for advancing practice for Health Education England and maintains visiting Professor status with the NIHR Southampton Biomedical Research Centre for Respiratory and Critical Care Respiratory care; lung imaging; Single Photon Computed Tomography; Magnetic Resonance Imaging; Computed Tomography; lung ultrasound; pulmonary function testing; mixed-methods approach; clinical trials; machine learning and AI; smart technology and smart wearables; inhaled aerosols; inhaler design and inhaler use; smart inhalers; educational interventions to improve inhaler use. Interested in: Clinical imaging – all forms – HRCT, Nuclear Medicine, MRI, ultrasound Modelling of data – CFD, topology, mathematical modelling of function/events All aspects of respiratory function, pathology and care – mixed methods, pulmonary rehabilitation Aerosols – inhaled aerosols, clinical effect of inhaled medicines, formulation design, inhaler design Machine learning and AI of multiple data sources to predict clinical events
Nandy
dr monomita nandy is currently a professor in accounting and finance at brunel business school (bbs), brunel university of london, uk. prof nandy has served as the vice dean international of the college of business, arts and social sciences, director of internationalisation, and director of the postgraduate programme at brunel business school, alongside other leadership roles. she holds two phds, one from the university of calcutta, india, and the other from the university of rome tor vergata, italy. she has been conferred the fellowship of the academy of social sciences in recognition of her contributions to the field. prior to joining brunel university, she held academic and research positions at lally business school, new york; radboud university, the netherlands; the university of surrey, uk; and leading institutes in india. she is highly popular among students and has received student-led best teacher awards. she has also been recognised for her innovative and technology-led teaching. her research interests include interdisciplinary studies focused on digitalisation to achieve sustainable development goals, alongside her disciplinary research on emerging issues in corporate finance. her research has been published in high-impact, international, peer-reviewed journals such as ijfe, jbe, tija, bse, and others. she serves as an associate editor for leading journals, including ijfe, bse, and ijfs, and regularly presents her research at major business and management conferences. her research has been highly regarded by institutions such as the uk parliament, the sustainability board in india, st james entrepreneur club london, the small business charter in the uk, and the chartered institute of taxation in england. prof nandy conducts policy-relevant research and shares her expertise by participating in consultations initiated by the frc, eu commission, and hmrc. her work frequently garners media attention. she is the chair of the south-east group of the british accounting and finance association, vice chair for research engagement at eicbi, a member and champion of the ima technology solutions & practices (tsp) committee (usa), a board member of the centre for ai, and a lab leader at the centre for entrepreneurship and sustainability at brunel university of london. she also serves as a research advisor for companies in the uk and abroad, such as qi digital, uk, and exergie, nigeria. her research attracts external funding from businesses and funding bodies. her university’s student-industry collaborations are recognised by the london chamber of commerce, and her partnerships with local businesses are highly appreciated by both the business community and local authorities. moreover, her research generates significant social impact, contributing to the sustainable growth of the economy with long-term socio-economic benefits. climate change modern slavery corporate governance emerging issues in finance earnings management current issues in financial accounting forensic accounting and auditing corporate social responsibility banking blockchain challenges in corporate finance machine learning and artificial intelligence in banking, accounting research group(s) accounting and auditing research group (aarg) entrepreneurship and sustainability research centre centte for artificial intellengence i do quantitative research in finance and accounting. my current research is focused on public and private sector. i am also familiar with qualitiative research which i am applying in my recent research projects to develop unique dataset. i follow interdisciplinary approach in addressing emerging issues related to sustinability, climate change, modern slavery, blockchain , machine learning , artifical intellegence in finance, accounting, taxation and banking current teaching in brunel business school: office hours: monday 11-12 pm ; wednesday 10-12 pm mg3117: issues and controversies in accounting (bsc) mg6700: research method (phd) mg5637 : understanding business and management research (msc) previous teaching: international business, mba current issues in accounting , msc foundation of finance: finance and investments, msc quantitative methods in business & management, bsc introduction to accounting , bsc business finance, level 2 undergraduate financial management, msc project appraisal, msc international corporate governance, msc introduction to quantitative analysis, phd basic econometrics, phd
![Professor Monomita Nandy]()
Professor Monomita Nandy
Dr Monomita Nandy is currently a Professor in Accounting and Finance at Brunel Business School (BBS), Brunel University of London, UK. Prof Nandy has served as the Vice Dean International of the College of Business, Arts and Social Sciences, Director of Internationalisation, and Director of the Postgraduate Programme at Brunel Business School, alongside other leadership roles. She holds two PhDs, one from the University of Calcutta, India, and the other from the University of Rome Tor Vergata, Italy. She has been conferred the Fellowship of the Academy of Social Sciences in recognition of her contributions to the field. Prior to joining Brunel University, she held academic and research positions at Lally Business School, New York; Radboud University, the Netherlands; the University of Surrey, UK; and leading institutes in India. She is highly popular among students and has received student-led Best Teacher awards. She has also been recognised for her innovative and technology-led teaching. Her research interests include interdisciplinary studies focused on digitalisation to achieve sustainable development goals, alongside her disciplinary research on emerging issues in Corporate Finance. Her research has been published in high-impact, international, peer-reviewed journals such as IJFE, JBE, TIJA, BSE, and others. She serves as an associate editor for leading journals, including IJFE, BSE, and IJFS, and regularly presents her research at major business and management conferences. Her research has been highly regarded by institutions such as the UK Parliament, the Sustainability Board in India, St James Entrepreneur Club London, the Small Business Charter in the UK, and the Chartered Institute of Taxation in England. Prof Nandy conducts policy-relevant research and shares her expertise by participating in consultations initiated by the FRC, EU Commission, and HMRC. Her work frequently garners media attention. She is the Chair of the South-East group of the British Accounting and Finance Association, Vice Chair for Research Engagement at EICBI, a member and champion of the IMA Technology Solutions & Practices (TSP) Committee (USA), a board member of the Centre for AI, and a Lab Leader at the Centre for Entrepreneurship and Sustainability at Brunel University of London. She also serves as a research advisor for companies in the UK and abroad, such as Qi Digital, UK, and Exergie, Nigeria. Her research attracts external funding from businesses and funding bodies. Her university’s student-industry collaborations are recognised by the London Chamber of Commerce, and her partnerships with local businesses are highly appreciated by both the business community and local authorities. Moreover, her research generates significant social impact, contributing to the sustainable growth of the economy with long-term socio-economic benefits. Climate change Modern Slavery Corporate Governance Emerging issues in Finance Earnings Management Current issues in Financial Accounting Forensic Accounting and Auditing Corporate Social Responsibility Banking Blockchain challenges in corporate finance Machine Learning and Artificial Intelligence in banking, accounting Research group(s) Accounting and Auditing Research Group (AARG) Entrepreneurship and Sustainability Research Centre Centte for Artificial Intellengence I do quantitative research in finance and accounting. My current research is focused on public and private sector. I am also familiar with qualitiative research which I am applying in my recent research projects to develop unique dataset. I follow interdisciplinary approach in addressing emerging issues related to Sustinability, Climate change, Modern Slavery, Blockchain , Machine learning , Artifical Intellegence in Finance, Accounting, Taxation and Banking Current Teaching in Brunel Business School: Office Hours: Monday 11-12 pm ; Wednesday 10-12 pm MG3117: Issues and Controversies in Accounting (BSc) MG6700: Research Method (PhD) MG5637 : Understanding Business and Management Research (MSc) Previous Teaching: International Business, MBA Current Issues in Accounting , MSc Foundation of Finance: Finance and Investments, MSc Quantitative Methods in Business & Management, BSc Introduction to Accounting , BSc Business Finance, Level 2 Undergraduate Financial Management, MSc Project Appraisal, MSc International Corporate Governance, MSc Introduction to Quantitative Analysis, PhD Basic Econometrics, PhD
Bosher
hayleigh is a reader in intellectual property law at brunel, university of london. she is a legal consultant in the creative industries, an advisor for the independent uk charity for professional musicians, help musicians and sits on the advisory board of we are the unheard, a social enterprise striving for inclusivity in the music industry and pathways into music, a not-for-profit organisation to support music educators and music talent development programmes. hayleigh was awarded the british academy researcher-led innovation fellowships 2024-25 for her project 'the future of the uk music industry: exploring policy and practice,' in partnership with the department for digital, culture, media and sport (dcms). hayleigh is well-recognised in the field of intellectual property law, in particular copyright law and policy in the creative industries, she has attained an international reputation in the field of music copyright in particular. her work in this area has been cited extensively in academic, practitioner and policy outputs and she is regularly interviewed by numerous national and international media outlets, including the bbc, itv, sky news, channel 5 news and the guardian, the times and the wall street journal. hayleigh's research focuses on copyright and related laws in the creative industries, particularly relating to music, social media, and artificial intelligence. her research always involves public, policy and industry engagement, with an emphasis on helping creators understand their rights whilst at the same time ensuring that those rights are fairly balanced and adequately supported by law. as such, she is widely published in academic peer-reviewed journals, in the press, and has responded to a number of policy inquiries at international and national level. her recent book; copyright in the music industry, is accompanied with a playlist and podcast which she produces and co-hosts with jules o'riordan (aka judge jules). she appeared before the dcms select committee in relation to their inquiry on the economics of music streaming, the science, innovation and technology select committee for their inquiry on the governance of artificial intelligence and the house of lords communications and digital committee on large language models. hayleigh is a member of the uk intellectual property office research experts advisory group, the centre for artificial intelligence: social and digital innovation, and the research centre for law, economics and finance at brunel, and a visiting research fellow at the centre for intellectual property, policy and management. hayleigh joined brunel in 2018, having previously held positions at coventry university, the university of the arts london and the academy of digital entertainment, breda university (netherlands). hayleigh's research focuses on copyright law in the creative industries. in particular - copyright policy; copyright enforcement; copyright infringement; copyright remuneration; digital copyright; copyright education; copyright & social media, copyright & music, copyright & film, copyright & artificial intelligence. hayleigh is a fellow of the higher education academy. she runs the intellectual property pro bono at brunel law school and teaches on the following programmes: llm/pgcert: copyright, designs and allied rights (module convener) llm contemporary themes in intellectual property law (module convener) llm philosophy of intellectual property msc artificial intelligence strategy llb intellectual property law phd supervisor and dissertation supervisor online educational tools copyright and social media faculti interview 5 free videos on copyright, designs & trade marks with patsnap academy. creativeip.org copyrightuser.org sharing your teaching materials through social media cla blog ipkat blog
![Dr Hayleigh Bosher]()
Dr Hayleigh Bosher
Hayleigh is a Reader in Intellectual Property Law at Brunel, University of London. She is a legal consultant in the creative industries, an advisor for the independent UK charity for professional musicians, Help Musicians and sits on the advisory board of We Are The UnHeard, a social enterprise striving for inclusivity in the music industry and Pathways Into Music, a not-for-profit organisation to support music educators and music talent development programmes. Hayleigh was awarded the British Academy Researcher-led Innovation Fellowships 2024-25 for her project 'The Future of the UK Music Industry: Exploring Policy and Practice,' in partnership with the Department for Digital, Culture, Media and Sport (DCMS). Hayleigh is well-recognised in the field of intellectual property law, in particular copyright law and policy in the creative industries, she has attained an international reputation in the field of music copyright in particular. Her work in this area has been cited extensively in academic, practitioner and policy outputs and she is regularly interviewed by numerous national and international media outlets, including the BBC, ITV, Sky News, Channel 5 News and The Guardian, The Times and The Wall Street Journal. Hayleigh's research focuses on copyright and related laws in the creative industries, particularly relating to music, social media, and artificial intelligence. Her research always involves public, policy and industry engagement, with an emphasis on helping creators understand their rights whilst at the same time ensuring that those rights are fairly balanced and adequately supported by law. As such, she is widely published in academic peer-reviewed journals, in the press, and has responded to a number of policy inquiries at international and national level. Her recent book; Copyright in the Music Industry, is accompanied with a playlist and podcast which she produces and co-hosts with Jules O'Riordan (AKA Judge Jules). She appeared before the DCMS Select Committee in relation to their Inquiry on the Economics of Music Streaming, the Science, Innovation and Technology Select Committee for their Inquiry on the Governance of Artificial Intelligence and the House of Lords Communications and Digital Committee on Large Language Models. Hayleigh is a member of the UK Intellectual Property Office Research Experts Advisory Group, the Centre for Artificial Intelligence: Social and Digital Innovation, and the Research Centre for Law, Economics and Finance at Brunel, and a Visiting Research Fellow at the Centre for Intellectual Property, Policy and Management. Hayleigh joined Brunel in 2018, having previously held positions at Coventry University, The University of the Arts London and the Academy of Digital Entertainment, Breda University (Netherlands). Hayleigh's research focuses on copyright law in the creative industries. In particular - copyright policy; copyright enforcement; copyright infringement; copyright remuneration; digital copyright; copyright education; copyright & social media, copyright & music, copyright & film, copyright & artificial intelligence. Hayleigh is a Fellow of the Higher Education Academy. She runs the Intellectual Property Pro Bono at Brunel Law School and teaches on the following programmes: LLM/PGCert: Copyright, Designs and Allied Rights (Module Convener) LLM Contemporary Themes in Intellectual Property Law (Module Convener) LLM Philosophy of Intellectual Property MSC Artificial Intelligence Strategy LLB Intellectual Property Law PhD supervisor and dissertation supervisor Online Educational Tools Copyright and Social Media Faculti Interview 5 Free videos on Copyright, Designs & Trade Marks with Patsnap Academy. CreativeIP.org CopyrightUser.org Sharing Your Teaching Materials Through Social Media CLA Blog IPKat blog
Foroudi
pantea foroudi (phd, sfhea, msc (hons), ma, ba (hons)) is the director of research in the business analytics and marketing department (since 2025), and a reader in marketing and corporate brand management. she is also the director of the sustainable digital economy area of excellence and a member of the school management board (2024). pantea serves as the head of the research group in marketing and corporate brand management (2023–2025). prior to her current academic leadership roles, she worked as the business manager and solution architect at foroudi consultancy (2013–2023). since 1996, pantea has built extensive experience in design, branding, and marketing, establishing herself as a creative innovator and practical problem-solver in visual identity, graphic design, and branding across various sectors. pantea's primary research interests focus on consumer behavior, using a multidisciplinary approach across two key areas: (i) corporate brand design and identity, and (ii) sustainable development goals (sdgs). her research has been widely published in leading international academic journals, including the british journal of management, regional studies, international journal of management reviews, journal of business research, european journal of marketing, international journal of hospitality management, and more. pantea's scholarly impact has been recognised globally. she was listed as the first in "top scholarly output" in the uk and europe and ranked fourth worldwide for the period 2016–2022 (december 2022). she has also been featured in stanford university’s top 2% of scientists ranking, as per elsevier’s scopus database (2025, 2024, 2023, and 2022). in addition to her academic achievements, pantea has extensive editorial experience as an associate and senior editor for renowned journals, including the international journal of hospitality management, journal of business research, international journal of contemporary hospitality management, european journal of international management, and more. her work continues to make significant contributions to the fields of marketing, corporate branding, and sustainability. topics she is interested in include the following: artificial intelligence (ai), technological advancements, and innovation consumer behaviour, brand management, corporate design/visual identity, corporate marketing, corporate brand identity, corporate integrated communication, sustainable branding sustainable development goals (sdgs) her approach is to investigate, comprehend, and evaluate diverse societal and business phenomena that are customer-oriented and problem-focused. due to her consulting and academic experience, she has developed a particular interest in consumer behaviour and corporate brand design, and communication focusing on social identity theory, perceived value theory, and the value of social interaction in various industries, including retail, higher education, and hospitality. her research focuses on consumer behavior, specifically how ai, technology, and corporate branding/visual/design identity impact consumer/user engagement and wellbeing, with an emphasis on advancing sustainable development goals (sdgs) across sectors such as health, retail, higher education, and hospitality. she frequently supports colleagues with various projects and collaborates across disciplines. her name has listed as the first in “top scholarly output” in the uk and all of europe; fourth in the world for the year range from 2016 to 2021 (dec 2021) recognized in stanford university's top 2% scientists ranking, based on elsevier’s scopus database (2025, 2024, 2023, and 2022) pantea’s philosophy of teaching can be described as a philosophy of learning through teaching. as a journey-guide, she feels her role is to open the door to knowledge, critical thinking, and intelligence for the students through three interlinked stages: (i) the imparting of fundamental knowledge and the modelling of intellectual curiosity by presenting new concepts which are applicable to students’ academic and future careers in media-related fields, (ii) facilitating understanding of the material through dialogue rather than monologue, and (iii) supporting the challenges to students’ existing thinking. she is teaching the following modules (2024/25): mg5584 (applied corporate brand management) mg5586 (strategic corporate brand management and consulting)
![Dr Pantea Foroudi]()
Dr Pantea Foroudi
Pantea Foroudi (PhD, SFHEA, MSc (Hons), MA, BA (Hons)) is the Director of Research in the Business Analytics and Marketing Department (since 2025), and a Reader in Marketing and Corporate Brand Management. She is also the Director of the Sustainable Digital Economy Area of Excellence and a Member of the School Management Board (2024). Pantea serves as the Head of the Research Group in Marketing and Corporate Brand Management (2023–2025). Prior to her current academic leadership roles, she worked as the Business Manager and Solution Architect at Foroudi Consultancy (2013–2023). Since 1996, Pantea has built extensive experience in design, branding, and marketing, establishing herself as a creative innovator and practical problem-solver in visual identity, graphic design, and branding across various sectors. Pantea's primary research interests focus on consumer behavior, using a multidisciplinary approach across two key areas: (i) corporate brand design and identity, and (ii) sustainable development goals (SDGs). Her research has been widely published in leading international academic journals, including the British Journal of Management, Regional Studies, International Journal of Management Reviews, Journal of Business Research, European Journal of Marketing, International Journal of Hospitality Management, and more. Pantea's scholarly impact has been recognised globally. She was listed as the FIRST in "top scholarly output" in the UK and Europe and ranked FOURTH worldwide for the period 2016–2022 (December 2022). She has also been featured in Stanford University’s Top 2% of Scientists ranking, as per Elsevier’s Scopus database (2025, 2024, 2023, and 2022). In addition to her academic achievements, Pantea has extensive editorial experience as an associate and senior editor for renowned journals, including the International Journal of Hospitality Management, Journal of Business Research, International Journal of Contemporary Hospitality Management, European Journal of International Management, and more. Her work continues to make significant contributions to the fields of marketing, corporate branding, and sustainability. Topics she is interested in include the following: Artificial Intelligence (AI), Technological advancements, and Innovation Consumer behaviour, Brand management, Corporate design/visual identity, Corporate marketing, Corporate brand identity, Corporate integrated communication, Sustainable branding Sustainable development goals (SDGs) Her approach is to investigate, comprehend, and evaluate diverse societal and business phenomena that are customer-oriented and problem-focused. Due to her consulting and academic experience, she has developed a particular interest in consumer behaviour and corporate brand design, and communication focusing on social identity theory, perceived value theory, and the value of social interaction in various industries, including retail, higher education, and hospitality. Her research focuses on consumer behavior, specifically how AI, technology, and corporate branding/visual/design identity impact consumer/user engagement and wellbeing, with an emphasis on advancing Sustainable Development Goals (SDGs) across sectors such as health, retail, higher education, and hospitality. She frequently supports colleagues with various projects and collaborates across disciplines. Her name has listed as the FIRST in “top Scholarly output” in the UK and all of Europe; FOURTH in the world for the year range from 2016 to 2021 (Dec 2021) Recognized in Stanford University's Top 2% Scientists Ranking, based on Elsevier’s Scopus database (2025, 2024, 2023, and 2022) Pantea’s philosophy of teaching can be described as a philosophy of learning through teaching. As a journey-guide, she feels her role is to open the door to knowledge, critical thinking, and intelligence for the students through three interlinked stages: (i) the imparting of fundamental knowledge and the modelling of intellectual curiosity by presenting new concepts which are applicable to students’ academic and future careers in media-related fields, (ii) facilitating understanding of the material through dialogue rather than monologue, and (iii) supporting the challenges to students’ existing thinking. She is teaching the following modules (2024/25): MG5584 (Applied Corporate Brand Management) MG5586 (Strategic Corporate Brand Management and Consulting)