Group Members

Dr Timothy Cribbin I am an information scientist with a primary interest and expertise in visual text analytics. I was awarded a BSc (Hons) Psychology from the University of Portsmouth in 1994 and an MSc Industrial Psychology (Distinction) from the University of Hull in 1996. In 2006, I was awarded a PhD from Brunel University London for research exploring the use of spatial-semantic interfaces for exploratory document search. After working as a researcher for several years, I was appointed as a lecturer here at the Department of Computer Science (formerly DISC) in 2001. I have taught a wide range of subjects, at undergraduate and postgraduate level, including information visualization, human-computer interaction, statistics, databases and programming. I have worked on a number of funded projects during my career, primarily researching new methods and applications of visual text analytics in diverse areas such as requirements elicitation for end-user medical devices and the online development of radical/extremist group identities. I am a founder and lead programmer on the Chorus Twitter analytics project. I have published over 20 peer-reviewed articles spanning a number of topics including document similarity modelling and visualization, social media analytics, citation-based search user interfaces and science mapping. I have acted as reviewer for conferences and journals relating to information science (e.g. JASIST, Information Processing and Management) and information visualisation (e.g. Information Visualisation, iV). The persistent theme of my research career has been one of designing and evaluating algorithms, interaction models and end-user tools that support information seeking and sense-making within large textual and connected information spaces (e.g. the scientific literature and social media platforms). I'm interested not only in WHAT people say (or write) but also HOW they express themselves and what this tells us about their background, personality and beliefs. My work integrates theory, methods and technologies from multiple fields including natural language processing, machine learning, visualisation, HCI and the social sciences. By looking from these multiple perspectives I aim to create effective and theoretically grounded/explainable solutions. In addition to academic impact, I try to create real-world impact through the creation and sharing of software tools based on my research. A notable example of this is the Chorus project ( Summary of interests / current research threads Citation-enhanced information retrieval - see my work on citation chain aggregation (Cribbin, 2011; 2014). I am currently exploring how to apply and evaluate CCA to ecologically valid tasks. Computational sociolinguistics - e.g. inferring demographic and psychographic attributes from user's social media texts Computational social science - enabling 'big data' approaches to (qualitative) social science and humanities research, particularly through the creation of methods and tools for data wrangling and models to classify/filter content by topic, sentiment or intention (e.g. media gatewatching, conspiracy thinking) I am open to new collaborations including PhD supervision. Leader of CS5703/MA5673 "Data Visualisation" Part-teaching duties on CS5602 "Digital Service Design Applications", CS1703 "Data and Information" Level 1 and Placement Tutor Supervisory duties for final year Undergraduate and Masters dissertation projects Deputy Senior Tutor (Academic Misconduct)

Professor George Ghinea I am a Professor in the Department of Computer Science at Brunel University London. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD – Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 21 PhD students to completion and to have published over 250 high-quality research articles with them and other research collaborators. Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life. • Multimedia and multimodal interactive environments• Mulsemedia applications and environments• Adaptive, cross-layer communication systems• Human-centred e-systems• Mobile and pervasive computing• Communications security I currently lead the level 2 undergraduate module Networks and Operating Systems as well as the Masters dissertation module.

Dr stasha Lauria Dr Stanislao Lauria has a Laurea awarded by The University of Studies “Federico II” of Napoli in Italy. He holds a Ph.D. in Cybernetics from The University of Reading, UK. Dr Stanislao Lauria is a Lecturer at Brunel University London. Previously he was research fellow at the University of Plymouth and at the University of Reading. Dr. S. Lauria has been working in the area of intelligent robotics for more than 15 years, and is particularly specialised in modelling and training mobile robots by means of intelligent human-machine interactions. Specifically, he has investigated the use of various frameworks for representing knowledge and converting natural language into robot-understandable actions. He has established the Brunel Robotics Laboratory performing exploratory experiments on cognitive mobile robots. He has also investigated the use of various Artificial Intelligence paradigms for various signal processing domains. His current activities focus on Machine-Human interactions. In particular, he is investigating the implication of Social Media on Human-Robot interactions and dialogue management aspects. Finally, he is exploring the use of robotics as an educational tool. Dr Lauria has been involved in designing delivering and assessing several teaching modules with a particular emphasis on programming. Therefore, suitable methods to allow students at a beginner level to increase their confidence in programming have been introduced. The aim has been to both introduce alternative paradigms to stimulate student motivation and to increase student’s perception of their own skills. As part of various outreaching programs Dr. Lauria has developed some innovative methods based on short interactive sessions to allow naive user to be able to control and program robots. Teaching areas. Computer Networks Programming Languages Database Software Engineering Database Algorithms

Professor Rob Macredie With over 20 years of research experience, Rob Macredie has worked with a range of organisations, ranging from large, blue-chip companies, through small businesses, to government agencies. Rob’s research spans the fields of Human-Computer Interaction and Information Systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. He is Professor of Interactive Systems at Brunel University London, and has held senior leadership roles as Head of School, Dean of Faculty and Pro-Vice-Chancellor. Rob’s research spans the fields of Human-Computer Interaction and Information Systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. Human-Computer Interaction (HCI) is Rob's general area of research interest, with this specifically applied to the design and evaluation of systems in a range of personal and organisational contexts. Key themes represented in his research are to provide a deep understanding of the influences of individual differences on system design and use, and the requirements of using interactive systems for information access. Rob's research also crosses into the Information Systems area, through interdisciplinary research with colleagues in this field, addressing organisational use and impact of technologies. CS1701 Level 1 Group Projects CS3607 e-Business CS3072/CS3074/CS3605 Final-year Projects

Dr Arthur Money Dr Arthur G. Money is a Reader in the Department of Computer Science at Brunel University London, where he also received his MSc in Distributed Information Systems with distinction in 2001 and PhD in Multimedia Computing in 2007. Prior to embarking on a fully funded EPSRC PhD scholarship in 2004, he worked for Oracle UK Ltd as an e-Business Technology Consultant. Dr Money’s research focuses on the user-centred design, development and evaluation of multimedia computing systems and the effective deployment of these systems with users who have complex needs spanning a range of domains including older adults, healthcare, education, and defence. Module leader: CS1004 Information Systems and Organisations, Teaching Contributor: CS1701, Supervisor: CS1701 Level 1 Group Project Project, Supervisor: CS3072 & CS3074 Department of Computer Science Projects

Dr Nayna Patel

Professor Mark Perry Interdisciplinary ‘user studies’ researcher, focused on human-computer interaction and computer supported co-operative work. Extensive experience managing research projects, investigating and designing mobile, ubiquitous, distributed and collaborative technologies from a user-centred perspective. Leading research projects as Principal and Co-investigator Investigator. Experienced educator in Computer Science, teaching across a range of topics and ability levels for over 20 years. Research community building, including reviewing and committee work, ACM CHI Associate Chair 2007, 2009, 2012-14, Subcommittee Chair 2010 and 2015, and Technical Programme Chair, 2018. ACM SIGCHI Executive Committee member (2019-21). Senior committee member, MobileHCI 2012. Senior member of the ACM. Previous holder of the Royal Society Kan Tong Po International Fellowship (2018). Specific research interests in the design and use of financial services, video and digital media, shared displays, collaborative and social media, domestic, and mobile technology to support creativity, playfulness, innovation and collaboration. Recent interests in interactions with blockchain, financial services, fintech, digital money, cryptocurrencies, digital assets, DeFi, electronic payments and alternative currencies. Leading taught modules Usability Engineering Supporting taught modules Social Media Level 2 projects FYP projects PhD training seminars Advanced IS and Computing (level 3 courses)

Dr Arthi Manohar Arthi is a design researcher, investigating the relationship between social design and technology. Arthi joined Brunel University in 2018 as a Lecturer in Design. Previous to Brunel, she was a Research Fellow at Northumbria University Newcastle where she explored complex socio-digital problems including designing for trust within TAPESTRY project, funded by the RCUK Digital Economy. She has experience in working across interdisciplinary research groups including Mixed Reality Lab at the University of Nottingham and the Innovation School at the Glasgow School of Art. Arthi’s Doctorate was a part of an EPSRC Digital Economy project ‘Tales of Things and Electronic Memories’ (TOTeM) from University of Dundee’s Socio Digital group. Her research interests include participatory design, co-design, user-centered design and Human Computer Interaction (HCI). Her research and teaching explore the role of human values by investigating the relationship between the social design and technology. Arthi is a reviewer for HCI, CSCW, IEEE, interdisciplinary journals and conference series. She has been part of various conference program chairs including British HCI 2021, Designing Interaction Systems (DIS) 2019 and IndiaHCI 2019. She is also the Equality, Diversity and Inclusion (EDI) Champion for the Department of Design since 2020. Teaching Responsibilities: Programme Director, BSc Product Design Equality, Diversity and Inclusion Lead Module Leader Level 3 BAs and BSc, Interaction and User Experince Design DM3607 Tutor MSc Integrated Product Design, Professional Design Studio DM5534 Selected Masters Dissertation supervision: Enhancing the in-store customer experience By using AI and AR - Fahad Alhathal, 2018-19. Heritage Rejuvenation: Design-led Branding strategy to save heritage from obsolescence - Ting Ya Chuang, 2018-19. Exploring the Role of Design Thinking within Artificial Intelligence - Andrea Gomez de la Vara, 2018-19.

Dr Antonios Kaniadakis I am a Reader in Education (Digital Economy and Information Systems) at the Computer Science Department, Brunel University London and a Senior Fellow of the Higher Education Academy (SFHEA) Prior to joining Brunel, I was Senior Lecturer at the School of Electronic Engineering and Computer Science, Queen Mary University of London. I have also worked at the London School of Economics & Political Science (Information Systems & Innovation), the University of Edinburgh (Business School) and the Open University (Economics). My background is in social sciences. I was trained as a Sociologist and I hold a PhD in Science, Technology and Innovation Studies from Edinburgh University. I have an interest in socio-economic analyses of digital technology innovation. I specialise in qualitative and experimental research methodologies and I am an experienced ethnographer. Keywords: Social informatics, digital innovation, information infrastructures, fintech, securitisation, enterprise systems (e.g. ERP), sharing economy, social media, organisational change, technology and society, higher education pedagogy, HCI Currently working on: - Organising visions in blockchain - Airbnb hosts and digital platforms - Student transition to University and e-learning - Exploring tacit and hidden elements of digital infrastructures

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 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 Federico Colecchia I am a specialist in emerging technologies and innovation. My research focusses on the integration between technology development and user-centred design to facilitate the achievement of positive societal and economic impact. My research profile has a marked interdisciplinary character and a significant part of my work has been carried out in close collaboration with private sector organisations. My current research focusses on machine learning, and artificial intelligence more broadly, the Internet of Things, and immersive technologies. I have 20+ years of R&D experience in academia and in the private sector, which has led to the establishment of a broad international network of academic and industrial collaborators. I have been active in Higher Education since 2002 leading undergraduate and postgraduate modules and am presently in charge of a Year 3 undergraduate module covering electronics and microcontroller programming for product design, as well as of the Brunel Design MSc dissertation module. I also teach Systems Design and electronics to Year 2 undergraduate students. 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 focussing on applications of artificial intelligence across disciplinary 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 industry. 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 - artificial intelligence and informed decision making for the pharmaceutical industry. 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. Over the years, 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, 2020). 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. Research Expertise and Interests: Artificial intelligence, machine learning, embedded electronics, Internet of Things, immersive technologies, human-computer interaction, user-centred design, data mining, information visualisation. ResearchGate: Google Scholar: Teaching Embedded Systems for Design - FHEQ L6 Design MSc Dissertation Project (Integrated Product Design) - FHEQ L7 Electronics, Programming & Interfacing - FHEQ L5 Systems Design - FHEQ L5

Dr Isabel Sassoon Dr Isabel Sassoon is a Senior Lecturer in Computer Science at Brunel University. Isabel is co-Investigator on IMMUNE (Immunity Passport Service Design) an UKRI Arts and Humanities Research Council funded project. IMMUNE's aim is to research the unintended consequences and risks related to immunity passports for COVID-19 with a view to inform their design in way that mitigates these. Before joining Brunel Isabel was Research Associate on the CONSULT (Collaborative Mobile Decision Support for Managing Multiple Morbidities), an EPSRC funded project in the Department of Informatics in King’s College London. This project developed a collaborative mobile decision-support system to help patients suffering from chronic diseases to self-manage their treatment, by bringing together and reasoning with wellbeing sensor data, clinical guidelines and patient data. Prior to that Isabel was Teaching Fellow in the Department of Informatics in King’s College London, primarily on the Data Science MSc. Isabel's research interests are in data-driven automated reasoning, and its transparency and explainability. Her PhD research developed a computational argumentation based system to support the appropriate selection of statistical model given a research objective and available data. Her current research continues to explore how computational argumentation can assist in model explainability and trust. Prior to joining King's College London Isabel worked for more than 10 years as a data science consultant in industry, including 8 years in SAS UK. Isabel read Statistics, Operations Research and Economics at Tel Aviv University and received her Ph.D. in Informatics from King's College London.

Professor Kate Hone Professor Kate Hone is Head of Department in the Department of Computer Science at Brunel University London, UK. She received the B.A. degree in Experimental Psychology in 1990 from the University of Oxford, UK, and the M.Sc. degree in Work Design and Ergonomics in 1992, and the Ph.D. degree in Human Computer Interaction in 1996, both from the University of Birmingham, UK. From 1995 to 2000 she held teaching and research appointments at the University of Nottingham, UK, first in Psychology and subsequently as lecturer in Computer Science. She joined Brunel as a lecturer in 2000 and from 2009-2018 held the post of Director the Graduate School. She has published widely, including articles in the International Journal of Human Computer Studies, Interacting with Computers, Behaviour and Information Technology, Applied Ergonomics and Ergonomics. Module leader for CS3009 Human Computer Interaction (Level 3 UG optional module) MSc dissertation supervision Programme Director for NewRoute PhD Contributor to Research Methods training in Department of Computer Science and Graduate School Researcher Development Programme.

Dr Theodora Koulouri Theodora (Lela) Koulouri joined the Department of Computer Science, Brunel University, as a lecturer in 2017, having previously worked at King’s College London and held an academic fellowship at Parliament. She has taught several modules including Human-Computer Interaction, Artificial Intelligence and programming. Her research interests lie in interaction design, machine learning and natural language interfaces. UX, usability and human factors Natural language interfaces Collaborative systems Module leader of CS1701 – Group Project Partial duties in CS1004 – Information Systems and CS1702 – Introductory Programming

Dr Monica Pereira Monica completed her undergraduate degree at London Metropolitan University and was awarded the British Psychology Society Undergraduate Award. Monica then went on to study clinical neuroscience at University College London and had a particular interest in brain injury and electrical brain stimulation. Her journey to becoming a chartered psychologist was finalised when she went on to complete a PhD at Brunel University London in Affective Computing. Monica has received a travel award from Brunel University and the best PhD presentation with the British Computer Society. Monica began her academic career in the Psychology Department at London Metropolitan University for 2 years. Now, Monica is a full-time lecturer at Brunel University London. Monica is also involved in several external academic service activities. Monica is broadly interested in how technology can improve the recognition and expression of non-verbal signals in social situations. Monica currently assists on Governance and Ethics and Research Methods modules.

Dr Nadine Aburumman Nadine is a lecturer at the Computer Science Department, and a member of the Intelligent Data Analysis (IDA), the Interactive Multimedia System (IMS) and Human-Computer Interaction (HCI) research groups. She is doing research in computer graphics, physics-based animation, real-time physics, skinning, secondary motions, cloth simulation and fluid simulation. She has focused her career both on computer science and digital arts. The ultimate goal of her research is to improve the quality of 3D animated movies, video games and VR/AR/XR through physically based simulations of virtual characters, cloth, soft bodies, fluids and rigid bodies. Towards this goal, she intends to advance computer games and computer animation on various levels, mainly through efficient physics-based algorithms, skeletal based deformation, and machine learning. 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 visual learning. Partial duties in CS3005– Digital Media and Games, CS3001– Advanced Topics in Computer Science (Mixed Reality), CS2001– Level 2 Group Project, CS1701– Level 1 Group Project, CS3009– Human Computer Interaction CS3072/CS3605 – Level 3/ Final Year Projects [See here some of my students' work] CS2555 – Work Placement (ISC - thick) CS1701 – Level 1 Group Project (team) [See here a video of the Finch Robot code integration task] CS2001 – Level 2 Group Project (team) CS3607 – e-Business (Module reviewer) Teaching areas Computer Graphics Computer Vision and Visual Learning Digital Image Processing Computer Games and Entertainment Advanced Graphics and Animation Virtual, Augmented, and Mixed Reality Computational Arts Real-time Physics for Interactive Graphics If you are interested in doing your final year/master project in topics related to Video Games, Character Animation, Fluid/Cloth Simulation, Mesh Deformation, Visual Learning or AR/VR/XR Applications. Please contact me to discuss the possibilities. Undergraduate supervision I have supervised more than 58 undergraduate students at Brunel (21 FYPs, 16 Level 2 Group Project, 18 Level 1 Group Project, 4 Work Placement students). My FYP student Mariama Kebbeh Suko won the 2021 British Computer Society (BCS) prize for her FYP project (VividlyARTeaching African & Black History with AR), a demo of Mariam can be found here.

Dr Pauldy Otermans I am a Lecturer (Education) in Psychology in the Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences at Brunel since March 2019. I am the Deputy Division Lead for Psychology and Employability Lead for the Division of Psychology. My research focuses on Innovative Teaching & Learning in Higher Education; Student Success and EDI; Employability and Transferable Skills; Student Experience and Student Satisfaction; Assessment and Feedback; and Student Engagement. I teach in the Psychology UG Programme a variety of blocks focusing on academic and employability skills. Previously, I obtained my PhD in Cognitive Psychology/Cognitive Neuroscience from Brunel University London (2014-2017). During this time I was the elected Vice President for Postgraduate Students at the Union of Brunel Students. Following this, I was elected Student Union President and fulfilled this job from June 2017-June 2018. After this, I joined the Ambitious Futures Graduate Scheme where I led a 6 months project on the review of student feedback mechanisms at Brunel University London. During this, I joined the Department of Psychology at the University of East London as a part-time Lecturer. My research focuses on different aspects of teaching and learning in Higher Education (HE). This covers a variety of topics including employability and HE; innovative teaching and learning; assessment and feedback; student satisfaction; student experience; online learning; diversity and HE. I am interested in looking at these different aspects of teaching and learning in the context of UK Higher Education. My projects use both quantitative and qualitative methods and currently these are some of the projects that I am working on: Exploring Psychology students’ understanding of graduate/employability outcomes. The impact of mode of delivery on student engagement, student satisfaction and student wellbeing. Exploring Psychology students’ understanding of and engagement with feedback. The impact of intrinsic motivation on student engagement. The impact of learning on assessment. Some of my other research has focused on wellbeing and personality constructs. For these, I used a mixture of quantitative and qualitative research. My previous research focuses on multitasking, i.e. what happens if people do two things at the same time (cognitive psychology/cognitive neuroscience) and working memory. To study this, I combined an established paradigm from experimental psychology which combines two basic speeded choice-response tasks into a dual-task situation with a working memory task. The measures I use are reaction time, accuracy and recall performance. Currently, I teach in the Psychology UG Programme the following blocks: PY1703 Employability in Psychology PY2706 Advanced Academic Skills for Psychology (part of the PY2803 Assessment block Portfolio for Advanced Research Methods, Statistics and Academic Skills) PY3600 Dissertation Workshops Since I joined Brunel as a Lecturer, I have taught the following blocks: PY1702 Academic Skills for Psychology (2019-20, 2020-21) PY2606/PY5609 Qualitative Research Methods (2019-20, 2020-21)

Dr Steven Sam Dr Steven Sam obtained a PhD from the University of Queensland (Australia), where he received the UQ Outstanding Higher Degree by Research Theses Dean’s Award in 2016. Steven’s research activities centre around ICTs and society, HCI (including HCI4D) and computing for social good. He particularly focuses on the intersection between computer science and social good. His goal is to make effective use of technologies such as AI, data science, blockchain, wearables, mobiles, social media platforms, etc., to amplify social impact solutions that deliver real change in society. He draws on a range of approaches such as ethnography, user-centred design, participatory design and data-driven approaches to develop and evaluate the use and impact of context-based technology solutions for complex societal problems in areas such as health, education, agriculture social welfare and governance. Steven is the founder and co-leader of an interdisciplinary research group (Computer Science for Social Good) at the Department of Computer Science, Brunel University London. The group focuses on tackling some of the biggest societal challenges through research, digital innovation, capacity building and engagement. Steven’s research interests relate to the following: Computing for social good (including AI for social good) Sustainable HCI (SHCI) and HCI for Development (HCI4D) Digital divide and mobile and computer-based ICT4D Data-driven solutions to sustainable development goals Social implications of new and emerging technologies (e.g. mobiles, AI, social media, automation, etc.) on organisations, society and people. Ethics and governance of digital systems Ethnography, user-centred and participatory design methodologies

Dr Zear Ibrahim Zear Ibrahim is a lecturer in the Department of Computer Science at Brunel University London, where he also received his Ph.D and B.Sc, respectively. Prior to embarking on a fully funded EPSRC PhD scholarship in 2017, he worked as developer and analyst implementing Oracle Enterprise Business solutions at the National Physical Laboratory. Zear’s research focuses on exploiting recent developments in the open-sourced 3D/AR/IR structure sensor research domain to enable accurate, efficient and non-invasive Assistive Technologies for Health Care Provision in older-adults. Additionally, Zear also has lecturing experience on a number of undergraduate modules, which are focused on the programming fundamentals. My research lies in the area of deploying Open-Sourced Computer-Vision (OpenCV) technologies through ubiquitous mobile devices to enable accurate, efficient and non-invasive health-care assistive technologies with older-adults. I focus on investigating and conceptualising current and prominent health-care provision methodologies aligned with the state of the art in CMRT as a tool that may better enable the digitization of manual or paper based methods in health-care provision, Current Year 1 - CS1701: Group Project (2021-2022) Previous Year 2 - CS2001: Group Project (2017-2019) Year 2 - CS2004: Algorrithms and their Applications (2017-2019) Year 1 - CS1701: Group Project (2017-2019) Year 1 - CS1702: Introductory Programming (2017-2019) Year 1 - CS1803: Group Project Reflection (2017-2019) Year 1 - CS1804: Fundamental Programming Assessment (2017-2019)

Dr Fotios Spyridonis Fotis is a Lecturer in Computer Science focusing on Human-Computer Interaction (HCI) and Digital Media. Serious Games and Gamification Digital Accessibility Applications of Extended Reality Human-Computer Interaction (HCI) Digital Health

Miss Ginevra Terenghi I am a full-time doctoral researcher in the Design PhD Program, under the supervision of Dr Arthi Manohar. My research focuses on engagement strategies to prevent antibiotic usage in tackling Antimicrobial Resistance (AMR). I graduated in Media Languages at Università Cattolica del Sacro Cuore, in Milan, Italy and then, I studied Communication Design at Politecnico of Milan. During the last year of my Master's, I focused on Information Design and Data Visualization. My thesis discussed sonification as a method to represent data through sound, specifically to detect cyber attacks on water management systems.

Mr Lizhou Niu Currently, I work in accessibility design and HCD (User-centered design) in schools. I am committed to exploring the connection between disability and social development. Moreover, as the PGR representive in design school, I worked with Dr.Hua and Dr. Arthi on doctoral projects. My interest is focused on the exploration of the study of the choice and research methods. Contains the following:· Aimalized objects with disabled people. I am committed to studying the travel experience of visual obstacles, making up the insufficient uncomfortable field through experimental design.· I am more interested in the behavior and psychological model of the user, as well as their feelings (values and aesthetics).

Mr Kanitsorn Suriyapaiboonwattana My name is Kanitsorn Suriyapaiboonwattana. I'm an international student from Thailand. My resesarch focuses in research methods for Human-Computer interaction

Mr Pk Dzikamunhenga The current ongoing research interest is in proposing and building an effective Intrusion Detection and Prevention System that uses the advanced Deep Learning machine learning algorithm to detect cyberattacks in real-time and to predict the likelihood of such attacks. My teaching background is in both tertiary education and in industry. I taught O-Level Maths and Science in Zimbabwe at Samambwa and Sidhakeni secondary schools. I also have experience in training staff members in the IT industry. I installed, configured and tested a live and automated internet billing system called AIMS/REMEDY, in 1998, at Africa Online (Pvt) Ltd (Zimbabwe). The system sat on an Oracle database and ran on Unix. I then trained staff on how to use the new automated system, which was different from the manual system previously used. From June to August 2003, I undertook a project which included installing and configuring the GRIC and EasyNet VPN (Virtual Private Network) dialers on Orion Clinical Services employee laptops. The software was for remote access, enabling employees to work away from the office using their laptops. I then trained staff on how to use the remote accress software. My other duties during my employment by Orion clinical Services from February 2001 to June 2004, were clinical data entry and analysis.