Key note Speakers

Professor John MacIntyre BSc PhD FRSA MBCS CEng
Bio-Sketch: John MacIntyre, PhD,Professor, Dean of the Faculty of Applied Sciences, Pro Vice Chancellor, University of Sunderland. Fellow of the Royal Society of Arts, Manufacture and Commerce, Chartered Engineer, Member of the British Computer Society. BSc (Bachelor of Science) First Class Honours in Combined Science (Computer Science and Physiology), University of Sunderland, 1993; PhD (Doctor of Philosophy) - Neural Networks and Condition Monitoring, University of Sunderland, 1996. His research covers the application of intelligent systems and artificial intelligence and adaptive computing techniques (eg neural networks, genetic algorithms, fuzzy logic, neurofuzzy systems, case-based reasoning and hybrid systems) to real-world problems.


Shun-Feng Su
    Shun-Feng Su received the B.S. degree in electrical engineering from National Taiwan University, Taiwan, R.O.C., in 1983, and the M.S. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, Indiana, in 1989 and 1991, respectively. He is now a chair Professor in the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He is an IEEE Fellow and also a CACS Fellow. He has published more than 160 refereed journals and conference papers in the areas of robotics, intelligent control, fuzzy systems, neural networks, and non-derivative optimization. His current research interests include neural networks, fuzzy modeling, machine learning, virtual reality simulation, intelligent transportation systems.


Maozhen Li
Bio-Sketch: Prof. Maozhen Li received his PhD in Software Engineering from the Institute of Software, Chinese Academy of Sciences in 1997. He did his post-doc research in the Dept. of Computer Science at Cardiff University, UK in 1999-2002. He is now a full Professor in the Department of Electronic and Computer Engineering at Brunel University London, UK. His research interests are in the areas of high performance computing technologies including grid computing and cloud computing, big data analytics, and intelligent systems. He has over 120 scientific publications in these areas including 3 books. He has served over 30 IEEE conferences. He was the Chair of the TPC of FSKD’16, FSKD’14 and FSKD’12 respectively. He is on the Editorial Boards of a number of journals including the journal of Cloud Computing Advances, Systems and Applications, Computing and Informatics. His collaborative research with Tongji University, China on Intelligent Transportation Systems was nominated by the Institution of Engineering and Technology (IET) for its Innovation Award in November 2015. Currently he is organizing a Special Issue on High Performance Deep Learning Techniques for Big Data Analytics for journal of Concurrency and Computation: Practice and Experience, looking at the research challenges in empowering large scale deep neural networks with high performance computing technologies. He is a Fellow of the British Computer Society.