Our members

 Director

Professor Gareth Taylor Professor Gareth Taylor
Email Professor Gareth Taylor Research Centre Director/Professor
Prof Gareth Taylor - Professor of Power Systems Director of BIPS Research Centre - Brunel Interdisciplinary Power Systems Module Leader - MSc Sustainable Electrical Power Gareth joined Brunel in May 2000 from the University of Greenwich in London. He was appointed as a National Grid Post-doctoral Scholar from 2000-2003 and joined Electronic and Computer Engineering, School of Engineering and Design as a lecturer in June 2003. He established the new MSc Sustainable Electrical Power as the Course Director in September 2006. He has been a research active member of the Brunel University Research Centre BIPS since May 2000 and was appointed as Director in 2010. He was appointed as a Professor in Power Systems in 2012 and as the Head of the Department of Electronic and Electrical Engineering from May 2019 to June 2023. He is a Senior Member of the IEEE and is a Fellow of the IET. He is also a Chartered Engineer and a Fellow of the Higher Education Academy. From 2016-22 he was also the elected UK Regular Member for CIGRE Study Committee D2 Information Systems and Telecommunication. In 2023 he was also appointed as a member of the Strategic Advisory Group (SAG) for the CIGRE Study Committee D2.He was also appointed as a Visiting Professor within the Control & Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London from 1st October 2023 to 30th September 2026. He has contributed to over 250 research publications concerning applied mathematics, data communications, information systems and high performance computing in electrical power systems and engineering. His current research interests include: Smart Grids; Renewable Energy Systems; Micro-generation; Reactive power & voltage control; Power systems & network communications and information systems; Power system & network operation; Power system economics & electricity markets. MSc Module leader for Energy Economics & Power markets, Power Systems Analysis & Security and Smart Grid Operation & Management Lecturing in Power Systems and Smart Grids

Full members

Professor Maozhen Li Professor Maozhen Li
Email Professor Maozhen Li Vice-Dean of the NCUT TNE programme/Professor
Maozhen Li is a Professor in the Department of Electronic and Electrical Engineering at Brunel University of London. He received his PhD from the Institute of Software, Chinese Academy of Sciences in 1997. He did Post Doctoral research in the School of Computer Science and Informatics, Cardiff University in January 1999- January 2002, joined Brunel in February 2002 as a lecturer and became a Professor in September 2013. His research interests are in the areas of high performance computing, big data analytics and artificial intelligence with applications to smart grid, smart manufacturing and cybersecurity. He has over 240 scientific publications in these areas including 5 books with about 8000 citations (Google Scholar h-index 47). He has served over 30 IEEE conferences. He is an Associated Editor of the Journal of Cloud Computing Advances, Systems and Applications, Springer, International Journal of Grid and High Performance Computing, International Journal of Distributed Systems and Technologies, and Journal of Computing and Informatics. He has successfully secured a number of research grants from funding sources including EPSRC, the European Union, Innovate UK. He is a Fellow of the IET and the British Computer Society. His research work on Big Data Modelling on Large Scale Road Networks was shortlisted by Computing UK in May 2018 for BIG DATA EXCELLENCE AWARDS in the category of Most Innovative Big Data Solution. As the first supervisor, he has successfully supervised 25 PhD students since he joined Brunel University in 2002. As an external examiner, he has examined over 30 PhD theses at a number of universities in the UK including University of Warwick, University of Bath, Cardiff University, University of Surrey, University of Kent, De Montfort University. He was an external examiner for MSc Programme in Computing at Edge Hill University, UK for a period of 3 years in 2019-2022. Currently he serves as an external examiner for the BSc Business and IT at University of Malta. High performance computing - looking at computing technologies such as grid computing, peer-t-peer computing, cloud computing and edge computing with an aim to solve data intensive applications in the cloud or at the edge of the network. Parallel machine learning techniques - improving computation efficiency of traditioanl machine learning techniques with parallel computing techniques, to speed up the training process on large datasets using multiple CPUs and GPUs. AI interpretation and robusness - AI models are normally running in a back-box mode and are fragile to real life out-of-distribution data sets. As a result, it is highly risky to deploy AI techniques to life criticial applications such as automonous driving systems. This work aims to develop interpretable and robust AI models which not only provide details on the decision-making process but also have the ability to sense the changes of an external environment. A focus will be on Causal AI, a branch of AI which models cause-effect relationships, moving beyond correlation-based traditional AI predictions that can explain why things happen. Lightweigh AI models - AI models have continuously growing in sizes having billions of hyperparameters which restrict them from deployment on computing resource constrained devices like robots and drones. This work looks at techniques such as pruning, quantisation, knowledge distillation, and lightweight architectures with an aim to reduce the computation complexity of AI models. I teach both undergraduate and postgraduate modules, with 0.5 FTE in the Department of Electronic and Electrical Engineering: EE2648 Data Networks and Security (FHEQ Level 5) EE3619 Advanced Computing Technologies (FHEQ Level 6) EE5622 Communication Network Technologies (FHEQ Level 7)
Dr Ahmed Zobaa Dr Ahmed Zobaa Ahmed Faheem Zobaa is an experienced academic in Electrical Power Engineering, with degrees from Cairo University, the University of Exeter, and Brunel University London. His academic journey started at Cairo University, where he served in various roles including Instructor, Teaching Assistant, and Assistant Professor from 1992 to 2007. He then took on a role as a Senior Lecturer in renewable energy at the University of Exeter from 2007 to 2010, before moving to Brunel University London as a Senior Lecturer in power systems from 2010 to 2019. Currently, he is a Reader in electrical and power engineering and a member of the Brunel Interdisciplinary Power Systems Research Centre. His areas of expertise include power quality, renewable energy (including marine), smart grids, energy efficiency, lighting applications, and Education. Lighting Applications. Power quality problems in power systems. Grid integration of (marine) renewable energy. Design, performance analysis, and cost benefit analysis of (marine) renewable energy systems. Energy management. Energy Systems. Smart Grids. Education. Power Systems. Energy and Environment. Smart Grids. Education.
Dr Chun Sing Lai Dr Chun Sing Lai
Email Dr Chun Sing Lai Senior Lecturer in Electrical Engineering and Power Systems
Dr Chun Sing Lai is a Senior Lecturer (Associate Professor) and Course Director for MSc Electric Vehicle Systems. He joined Brunel as a Lecturer (Assistant Professor) in Jan 2020. He is an academic member of the Transnational Education (TNE) CQUPT programme for BEng Electronics and Communications Engineering. He is a member of Brunel Interdisciplinary Power Systems (BIPS) Research Centre. His current interests are in power system optimisation, energy system modeling, data analytics, electric vehicle systems, hybrid powertrains optimisation, and energy economics for renewable energy and storage systems. From 2018 to 2020, Dr Lai was an EPSRC Research Fellow with the Faculty of Engineering and Physical Sciences, University of Leeds as the lead researcher for EP/P022049/1: Generation Integrated Energy Storage - A Paradigm Shift. He is a Visiting Research Fellow at the School of Electronic and Electrical Engineering, University of Leeds and Visiting Research Fellow with the Department of Electrical Engineering, School of Automation, Guangdong University of Technology, China. He is Vice-Chair of the IEEE Smart Cities Publications Committee. Since 2022, Dr Lai is Associate Vice President, Systems Science and Engineering of the IEEE Systems, Man, and Cybernetics Society (IEEE/SMCS). Since 2020, Dr Lai is Vice-counsellor for Brunel University London IEEE Student Branch. He is a Member of Early Career Researchers Committee of EPSRC Supergen Energy Storage Network+. He organised the workshop on Smart Grid and Smart City, IEEE SMC 2017 in Canada and a workshop on Blockchain for Smart Grid, IEEE SMC 2018 in Japan. He was a Publications Co-Chair for IEEE International Smart Cities Conference ISC2 (2020 and 2021). Dr Lai is a Technical Programme Chair for IEEE ISC2 2022 and Publications Co-Chair for 2022 the 12th International Conference on Power and Energy Systems (ICPES 2022). He was an Invited Speaker at 2023 6th Asia Conference on Energy and Electrical Engineering (ACEEE 2023) and 2023 6th International Conference on Power and Smart Grid. He has successfully secured funding to lead Standards-Related Activities in 2022-23 from IEEE Technical Activities Board Committee on Standards (TAB CoS). He is a recipient of the IET International Travel Award and Meritorious Service Award from the IEEE SMC Society for "meritorious and significant service to IEEE SMC Society technical activities and standards development" in 2022. In 2024, the Technical Committee on Intelligent Power and Energy Systems (IPES) chaired by Dr Chun Sing Lai and Prof Loi Lei Lai recieved the IEEE Most Active SMC Technical Committee Award for Systems Science and Engineering. Dr Lai is an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems (IF: 8.6), IEEE Transactions on Consumer Electronics (IF: 4.3); IET Energy Conversion and Economics, and Frontiers in Energy Research (Smart Grids) (IF: 2.6). He is an Editorial Board member for Sensors (Industrial Sensors, IF: 3.4), Topics Board member for Electronics, and Reviewer Board member for Applied Sciences, as well as Guest Editor for several IEEE and MDPI journals. Dr Lai has co-authored "Smart Energy for Transportation and Health in a Smart City", Wiley, 2023. He is a book editor for "Electrification of Smart Cities", Electronics 2022. He is a Member and Contributor to IEEE Task Force on Enabling Paradigms for High-performance Computing in Wide Area Monitoring Protective and Control Systems. He has contributed to six journal papers that appear on Web of Science as Highly Cited Papers with three as the lead author. Since 2021, he is recognised as the top 2% of world active scientists by survey conducted by Stanford University. Dr Lai is a frequent reviewer for research grant applications such as National Fund for Scientific and Technological Development (FONDECYT), Government of Chile. Energy and power system optimisation, energy system modelling, energy data analytics, techno-economic analysis, and financial modelling for energy system
Dr Zhengwen Huang Dr Zhengwen Huang
Email Dr Zhengwen Huang Senior Lecturer in Digital Systems and Microprocessors
Zhengwen`s research interests include evolutionary algorithm, gene expression programming, machine learning, data engineering g for big data analytics in Smart Grid, HPC, Smart manufacturing etc. fields.​ His research expertises include high-performance computing, Data science, His research is focused on evolutionary algorithms (gene expression programming, genetic programming), data engineering/implementation and Systems Modelling/Simulation and optimazation for Smart Grid. EE1655 Digital Systems and Microprocessors EE1619 Engineering Science and Society EE1616 Devices and Circuits
Dr Marko Aunedi Dr Marko Aunedi
Email Dr Marko Aunedi Senior Lecturer in Electronic and Electrical Engineering
Marko Aunedi is a Senior Lecturer at the Department of Electronic and Electrical Engineering at Brunel University London with 25 years of research experience in energy system modelling and optimisation. He obtained his MEng and MSc degrees from the University of Zagreb, Croatia, and his PhD from Imperial College London. Between 2007 and 2023 he held several positions at Imperial College London, most recently the role of Advanced Research Fellow. Marko's research interests cover system integration of renewables and low-carbon technologies in future energy systems, impact assessment of heat and transport electrification, integrated whole-energy system modelling, impact of flexible demand and benefits of energy storage. His expertise lies in building optimisation and simulation models for low-carbon energy systems. Marko contributed to many European and UK-based research projects focused on energy system flexibility and grid impact of transport and heat decarbonisation. He has led several strategically important studies on the value of flexibility for energy system decarbonisation carried out for organisations such as the Climate Change Committee (CCC), BEIS, Ofgem and Carbon Trust, as well as for many industrial partners. Marko has published over 40 papers and delivered invited lectures on smart grids and energy storage in various events around the world. He regularly reviews manuscripts for leading energy journals and research project proposals for EPSRC, Innovate UK and Latvian Council of Science. As an external expert, he has worked with major international organisations such as IRENA, IEA, IAEA and the UNFCCC Secretariat. Dr Marko Aunedi is a full and active member of the Brunel Interdisciplinary Power Systems (BIPS) Research Centre. His research interests include: Integrated whole-energy system modelling and optimisation System integration of renewables and low-carbon technologies Impact assessment of heat and transport electrification Benefits of flexible demand and energy storage Role of flexibility in low-carbon energy systems
Dr Ioana Pisica Dr Ioana Pisica
Email Dr Ioana Pisica Reader in Power Systems
Dr Ioana Pisica is currently Reader (Associate Professor) in Power Systems. She graduated from the National Technical University of Bucharest with a BSc in Information systems for power engineering. She susbequently received her MSc in Information Systems from the Academy of Economic Studies from Bucharest and her PhD from the National Technical University of Bucharest in Machine Learning for Power Systems. In the recent years Ioana has been actively researching modern optimization techniques for power systems with distributed generation and FACTS devices, machine learning for power systems control, power quality and smart metering. Ioana was also involved in agent based modelling, smart metering communications and analysis of large amounts of data from smart meters as part of the EPSRC ADEPT project in collaboration with the University of Oxford. She was PI on a UK-Turkey project on smart distribution systems and Co-I on several transmission and distribution research projects. Her current research interests focus on smart grids, power system analysis and control, dynamic electricity tariffs, netowrk and demand flexibility and ICT infrastructures for future power networks. Module leader: EE2653: Electrical Engineering and Sustainability EE5624: Applied Sensors, Instrumentation and Control EE5520: Power Systems Analysis and Security EE5523: Sustainable Electrical Power Workshop Other modules taught: EE3624: Renewable Energy in Power Systems EE5633: Smart grid operation and management EE5524/EE5124 Sustainable Power Generation EE5521/EE5121 Power System Stability and Control

Associate members

Professor Panos Louvieris Professor Panos Louvieris
Email Professor Panos Louvieris Professor - Information System
Panos Louvieris is Professor of Information Systems and leads the Defence & Cyber Security (DCS) research group in the Department of Computer Science at Brunel University London and co-director of the Brunel Intelligent Digital Economy and Society (IDEAS) Research Centre. His research interests are data and information fusion, defence and cyber security analytics, and computational finance in the digital economy. He is co-director of the Trusted Open Models Institute (TOMI) at the Hartree Centre concerning the assurance of AI computational models. He is a committee member of the EPSRC Digital Personhood Network. In addition, he is a member of EPSRC ITaaU+ Network and NEMODE+ Network. Cybersecurity, Data and Information Fusion, Causal Reasoning and Explainable AI, Smart Decision Support Systems, Distributed Ledger Technologies for FinTech CS3609 Cybersecurity CS5517 ICTs and Strategic Change
Professor Danae Manika Professor Danae Manika
Email Professor Danae Manika Executive Dean of Brunel Business School
Danae Manika (PhD, University of Texas at Austin) is Executive Dean and Professor of Marketing at Brunel Business School. In the past, Danae served as Acting Executive Dean and Deputy Dean of the College of Business, Arts and Social Sciences at Brunel University of London; and as Associate Head of Brunel Business School. Before joining Brunel, she was Professor of Marketing at Newcastle University Business School, where she led its London Campus as Academic Group Head and held the Deputy Director of Research role at Newcastle University Business School. Danae in the past has also held academic positions at Queen Mary University of London, Durham University and the University of Texas at Austin; and is currently Visiting Professor at Newcastle University and Queen Mary University of London. Prior to her academic career, Danae worked as an Account Planning Intern in advertising agencies such as Latinworks in Austin, TX, and DDB in New York. She obtained a Ph.D and a M.A. in Advertising from the University of Texas at Austin, and a B.A. Honours in Marketing from University of Stirling. Danae’s recent research has been published in journals such as Journal of Service Research, Journal of Business Ethics, Tourism Management, Annals of Tourism Research, Psychology and Marketing, European Journal of Marketing, Technological Forecasting and Social Change, Journal of Business Research, European Management Review, and International Business Review, amongst others. Using an interdisciplinary approach, Danae’s research focuses on effective message construction for behaviour change within the contexts of health, well-being and the environment. She is involved in various consultancies (e.g., Harrow Council, Royal Borough of Kensington and Chelsea Council, RECOUP, Global Action Plan, Texas Comprehensive Cancer Control Coalition), and her research has been supported by £450,000+ of funding (e.g., NERC, CRUK, EPSRC/Innovate UK, RED). Danae is Section Editor for the Journal of Business Ethics (section: Marketing Ethics) and an Associate Editor (AE) for Business and Society and the Journal of Current Issues and Research in Advertising, while in the past she was AE for the Journal of Marketing Management (2017-21). She is also currently on the Editorial Review Boards of: Technological Forecasting & Social Change, and Journal of Marketing Management; with guest editor experience across multiple top journals. Danae also has experience as: funding reviewer for Cancer Research UK (2015-19); and track chair for top marketing conferences (AMS WMC 2025 and 2023, TCR 2021). Using an interdisciplinary approach, blending the lines between marketing, advertising and psychology her research aims to answer a fundamental marketing research question: How to diminish the knowledge-behaviour gap? Particularly, her research focuses on effective message construction for behaviour change. It takes an information processing approach, which identifies, classifies and examines cognitive (e.g., knowledge, confidence, trust, values) and affective (e.g., pride, fear, disgust) factors that influence individuals’/consumers’/employees’ decisions and choices after exposure to campaigns/messages/interventions, and translate knowledge acquisition to behaviour change/formation. Her research is theory-based but practically applicable research, and often uses health (e.g., weight control, alcohol consumption, vaccination), well-being and environmental (e.g. energy saving, recycling) social issues as the venue for understanding the knowledge-behaviour gap, with direct implications for persuasive communication and behavioural interventions that motivate health and environmental action. The campaigns/messages/interventions often examined involve digital components (e.g., websites, social media, mobile applications, online tracking tools) and technology adoption behaviours (e.g., adoption and usage of technology-based solutions). Other projects with information technology and effective message construction focus include: social media service failure apologies, online petitions, and online political engagement. Side projects include innovative research methodologies, female-disparaging adverts, and consumer animosity, amongst others. Danae’s recent research has been published in journals such as Journal of Service Research, Journal of Business Ethics, Tourism Management, Annals of Tourism Research, Psychology and Marketing, European Journal of Marketing, Technological Forecasting and Social Change, Journal of Business Research, European Management Review, International Business Review, Information Technology and People, Studies in Higher Education, Journal of Marketing Management, Computers in Human Behavior, International Journal of Advertising, Journal of Health Communication, Journal of Marketing Communications, Health Marketing Quarterly, and Multivariate Behavioral Research, amongst others. She often engages in research projects that require collaborations with other disciplines such as medicine, engineering and geography; and her research has been supported by£450,000+ of funding (e.g., NERC, CRUK, EPSRC/Innovate UK, RED, and Arrow/ERDF). She also strongly believes in the interplay and interdependence of academia, government, business and society and hence she is often involved in various consultancies (e.g., Harrow Council, Royal Borough of Kensington and Chelsea Council, RECOUP, Global Action Plan, Texas Comprehensive Cancer Control Coalition), in line with her research (i.e., effective message construction for behaviour change). Danae is Section Editor for the Journal of Business Ethics (section: Marketing Ethics; FT50 journal), and Associate Editor (AE) for Business and Society and the Journal of Current Issues and Research in Advertising, while in the past she was AE for the Journal of Marketing Management (2017-21). She is also currently on the Editorial Review Boards of: Technological Forecasting & Social Change, and Journal of Marketing Management; with guest editor experience across multiple top journals. Danae also has experience as: funding reviewer for Cancer Research UK (2015-19); and track chair for the Academy of Marketing Science World Marketing Congress Conference in 2023, the Transformative Consumer Research Conference in 2021, and the European Social Marketing Association Conference in 2016. Knowledge-Behaviour Gap Effective Message Construction for Behaviour Change Information Processing & Persuasive Communication Health Communication (Employee) Pro-environmental Behaviour Technology Adoption for Behaviour Change Consumer Psychology Social Marketing Advertising
Professor Paresh Date Professor Paresh Date
Email Professor Paresh Date Head of Department-Mathematics/Professor
I am an electrical engineer by background, with expertise spanning nonlinear state estimation (with applications in tracking and in finance), financial portfolio optimization and financial derivative pricing. My book 'Nonlinear estimation: methods and applications with deterministic sample points' was published by Taylor and Francis in 2019. Every home should have a copy. Algorithms for latent state estimation or ‘filtering’ in nonlinear time series and applications of filtering, especially for forecasting and risk measurement in mathematical finance. Financial modelling, especially modelling problems in microfinance. Optimization problems in power systems. Mathematical finance; nonlinear filtering, power systems optimization. 2014-2021: Year 1 Calculus (20 credits by volume, out of 120 credits for year 1) 2017-18: Year 2 Analysis (20 credits by volume, out of 120 credits for year 1) 2018-2022: Financial Mathematics MSc - Interest rate theory (15 out of 120 taught credits) 2018-2020: Financial Mathematics MSc - Financial Markets (15 out of 120 taught credits)

External Affiliate Members

Dr Martin Bradley, Dispatch Assurance Manager, National Grid ESO (Retired), UK
Dr Peter Imris, Senior Power Systems Engineer, Energy Systems Catapult, UK
Dr Barry Rawn, Associate Teaching Professor, Carnegie Mellon University, USA
Professor Xin Zhang, University of Sheffield, UK