Special Session Organisers
Dr Fanlin Meng, Department of Mathematical Sciences,University of Essex,UK
Prof Kang Li,School of Electronic and Electrical Engineering, University of Leeds, UK
Prof Dunwei Gong, School of Information and Control Engineering, China University of Mining and Technology, China
Dr Zhile Yang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Prof Furong Li, Department of Electronic & Electrical Engineering, University of Bath, UK
Dr Fanlin Meng obtained BSc from China University of Mining and Technology, China in 2008, MSc from Xiamen University in 2011, China and PhD from University of Manchester, UK in 2015. He is currently a Lecturer in Data Science at the University of Essex, UK. His primary research interests include Machine Learning, Game theory and Optimisation including their applications to smart grids and energy markets, intelligent transportation systems modelling, and the sustainability. He was a recipient of the prestigious Chinese government award for outstanding self-finance students abroad (2015). He has published more than 20 papers in peer reviewed international journals and conferences. He served as Special Session Chair of 2017 International Conference on Life System Modeling and Simulation & 2017 International Conference on Intelligent Computing for Sustainable Energy and Environment. He is a PC member of 24th European Conference on Artificial Intelligence (ECAI 2020) and a TPC member of CyberLife 2019.
Prof Kang Li received Ph.D. degree in Control Theory and Applications from Shanghai Jiaotong University in 1995, and a DSc degree from Queen’s University Belfast in 2015. He is currently a Chair of Smart Energy Systems at the School of Electronic and Electrical Engineering, University of Leeds. Prior to his current appointment, he was a Lecturer (2002), a Senior Lecturer (2007), a Reader (2009), and a Chair Professor of Intelligent Systems and Control (2011) with the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK. His research interests include nonlinear system modelling, identification, and control, and bio-inspired computational intelligence, with applications to the development of advanced control technologies for decarbonizing the whole energy systems, from integration of renewable energies, smart grid, to electric vehicles, railway electrification and energy reduction in manufacturing. His work on the development of minimal-invasive energy monitoring and analytic system used in several industrial sectors has won several awards. He has produced over 300 publications with several award winning papers and 14 conference proceedings in his area, and has been invited to give over 50 keynotes and research seminars worldwide. His research has intensively supported by research councils and industry with over £10 Million funding in the past 10 years. Prof Li is an Executive Editor of Transactions of the Institute of Measurement and Control, and an Associate Editor of several other journals.
Prof Dunwei Gong received the B.Sc. degree in mathematics from China University of Mining and Technology, Xuzhou, China, in 1992, the M.Sc. degree in control theory and applications from Beihang University, Beijing, China, in 1995, and the Ph.D. degree in control theory and control engineering from China University of Mining and Technology, Xuzhou, China, in 1999, respectively. He is an IEEE member, and a Professor in Computational Intelligence and the Director of the Centre for Intelligent Optimization and Control, School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China. He is a Guest Professor in School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China. He has published over 180 publications. He obtained two awards issued by Ministry of Education and Jiangsu Province, China, respectively, in recent three years. His current research interests include computation intelligence in many-objective optimization, dynamic and uncertain optimization, as well as applications in software engineering, scheduling, path planning, big data processing and analysis.
Dr Zhile Yang obtained BSc and MSc degrees both at Shanghai University, China, and received Ph.D. degree at Queen’s University Belfast, UK. He is currently an assistant professor at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China. His research interests focus on evolutionary computation, neural network methods and their applications on smart grid, renewable energy, electric vehicles and various energy systems. He is the author or co-author of more than 70 articles in peer reviewed international journals and conferences. He has been served as publication chairs/special session chair/secretary general/IPC members for over 30 international conferences and an active reviewer for over 30 peer reviewed international journals.
Prof Furong Li is the Director of Centre for Sustainable Power Distribution at the Department of Electronic & Electrical Engineering, a Royal Society Wofson Merit Fellow (2013-2018), an EPSRC Advanced Fellow (2006-2011). Her research sits between two major disciplines - electrical power and energy systems and market economics, concerned with fundamental development of new algorithms, economic theories and analysis tools and their application to smart energy systems, smart markets, and energy transition, such as DNO to DSO transition. She has undertaken research and consultancies for the UK government, the energy regulator for the UK- Ofgem and Brazil - ANEEL, NPower, Centric, all the UK’s 7 transmission and distribution licensees. She is the co-Director for EPSRC Supergen Energy Hub responsible for Markets and Regulation, an expert of the Government Independent Panel for Electricity Standards Review (2019-2020), and an executive member of the IET Power Trading and Control network (UK).