Professor Loi Lei Lai


Loi Lei Lai is Director of Energy Strategy, Planning, Policy Support, Research and Development Centre of State Grid Energy Research Institute, Beijing, He graduated from the University of Aston in Birmingham, UK with a B.Sc. (First Class Honours, the only one) and a Ph.D. degree. He was awarded a higher doctorate, D.Sc. by City University London. He is Pao Yue Kong Chair Professor, Guest Professor and Visiting Professor for Zhejiang University, Fudan University and Southeast University respectively. He was Chair in Electrical Engineering at City University London. In the last two decade, he has published 3 books with Wiley. From Google Scholar, his publications have been cited over 3000 times. He has conducted high-level consultancy for major international projects such as Channel Tunnel between UK and France. He was awarded an IEEE Third Millennium Medal and IEEE Power and Energy Society (IEEE/PES), United Kingdom and Republic of Ireland (UKRI) Chapter Outstanding Engineer Award in 2000. In 2006 and 2009, he was awarded a Prize Paper by the IEEE/PES Development and Power Generation Committee. Since the beginning of the IET Innovation in Engineering Awards in 2005, he was invited as a judge for the Power/Energy Category. His interests are in smart grid, clean energy, decision support system and computational intelligence applications in power & energy systems. He is a Fellow of both IEEE and IET. He is also a China National Specially Appointed Expert and a State Grid Corporation of China Specially Appointed Expert.

Dr Andrew Black

Andrew Black is Director of Research Development and Collaboration at The University of Sydney.  He leads the development and implementation of research strategies, policies, programs and projects, for the university and individual researchers and research groups.

He has a PhD in Chemistry from Harvard University and a Bachelor of Science (Hons) from the University of New South Wales.

Professor William (Bill) Gruver

William Gruver is a Professor Emeritus at Simon Fraser University where he directs research in the Intelligent/Distributed Enterprise Automation Laboratory. He received the PhD, MSEE, and BSEE degrees from the University of Pennsylvania and the DIC in Automatic Control Systems from Imperial College, London..

His experience includes management and technical leadership positions at GE Factory Automation Products Division in Charlottesville; GE Automation Center in Frankfurt, Germany; IRT Corporation in San Diego, Center for Robotics and Manufacturing Systems in Lexington, Kentucky; Logistics Technology International, a California based startup that he co-founded. He has held engineering and faculty positions at NASA Marshall Space Flight Center, DLR German Space Research Center, Technical University Darmstadt, United States Naval Academy, University of Kentucky, and North Carolina State University. 

Dr. Gruver is IEEE Fellow and Fellow of the Engineering Institute of Canada. He is recipient of the Norbert Wiener Award, Civitate Honoris Causa from Óbuda University GE Management Award, Humboldt U.S. Senior Scientist Award, and honorary positions at seven Chinese universities. He has published 235 technical papers and four books on the theory and applications of robotics and manufacturing automation, distributed intelligent systems, control systems, and optimization. 

He has served as President of the IEEE Systems, Man, and Cybernetics Society, IEEE Division Director, and member of the IEEE Board of Directors. Currently, Dr. Gruver is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics, and he co-chairs the SMC Society’s Technical Committee on Distributed Intelligent Systems. He has served as an Associate Editor for the IEEE Transactions on Robotics and Automation, Associate Editor of the IEEE Transactions on Control Systems Technology, and was a founding officer of the IEEE Robotics and Automation Society. He is General Chair of the 2014 IEEE International Conference on Systems, Man, and Cybernetics to be held in San Diego, California.

Professor Lawrence (Larry) Hall

Lawrence Hall is a Professor of Computer Science and Engineering at University of South Florida. He received his Ph.D. in Computer Science from the Florida State University in 1986 and a B.S. in Applied Mathematics from the Florida Institute of Technology in 1980. His research interests lie in distributed machine learning, data mining, pattern recognition and integrating AI into image processing. The exploitation of imprecision with the use of fuzzy logic in pattern recognition, AI and learning is a research theme. He has authored over 190 publications in journals, conferences, and books. 

Professor Daniel Yeung

Daniel Yeung is Visiting Professor at South China University of Technology, China. He has worked as an Assistant Professor at Rochester Institute of Technology, New York, as Principal Lecturer and Associate Head of the Computer Science Department at City University of Hong Kong, as head of the Management Information Department, as Department Head and Chair Professor of the Department of Computing, The Hong Kong Polytechnic University, Hong Kong.

He also held industrial and business positions as a Technical Specialist/Application Software Group Leader at the Computer Consoles, Inc., Rochester, New York, an Information Resource Sub-manager/Staff Engineer at the Military and Avionics Division, TRW Inc., San Diego, California, and an Information Scientist of the Information System Operation Lab, General Electric Corporate Research and Development Centre, Schenectady, New York.

His current research interests include neural-network sensitivity analysis, pattern recognition, and fuzzy rough set.

Professor Ljiljana Trajkovic

Ljiljana Trajkovic  is currently a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada. From 1995 to 1997, she was a National Science Foundation (NSF) Visiting Professor in the Electrical Engineering and Computer Sciences Department, University of California, Berkeley. She was a Research Scientist at Bell Communications Research, Morristown, NJ, from 1990 to 1997, and a Member of the Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ, from 1988 to 1990. Her research interests include high-performance communication networks, control of communication systems, computer-aided circuit analysis and design, and theory of nonlinear circuits and dynamical systems.

Professor Hong Yan

Hong Yan is currently Professor of Computer Engineering at City University of Hong Kong. He received his Ph.D. degree from Yale University in 1989. From 1986 to 1989 he was a research scientist at General Network Corporation, New Haven, CT, USA, where he worked on design and optimization of computer and telecommunications networks. He joined the University of Sydney in 1989 and became Professor of Imaging Science in 1997. Professor Yan’s research interests include image processing, pattern recognition and bioinformatics. He has authored or co-authored over 300 journal and conference papers in these areas. His group has proposed a number of techniques for low frequency restoration, high frequency restoration and rotational artifact removal for magnetic resonance image reconstruction. Professor Yan has also developed real-time voice signal analysis and lip-synchronization methods for human face animation. The techniques have already been used in several telecommunications and Internet systems for multimedia message services. He received the Best Mobile Entertainment Software Award from the Office of the Information Technology Officer, the Productivity Council and the Wireless Communications Association in Hong Kong in 2005.

Currently Professor Yan’s group is working on the analysis of genomic data and biomolecular interactions. They have developed advanced signal processing and pattern recognition based approaches for DNA microarray data restoration, biclustering analysis and classification, inference of biological networks, gene recognition in DNA sequences, protein-ligand and protein-protein docking, prediction of drug resistance due to protein mutations, and parallel implementation of bioinformatics algorithms on graphics processing units (GPUs) and field programmable gate arrays (FPGAs). These methods have many useful applications to disease diagnosis, drug design and drug therapeutic effect assessment. He is currently a member of the Steering Committee of IEEE Transactions on Affective Computing, and a Distinguished Lecturer of the SMC Society.