AISS 2019 Speakers
Keynote Speaker: Prof. Alexander Balinsky
Cardiff University, UK
Bio: Prof Alexander Balinsky received his PhD degree in Mathematical Physics from the Landau Institute of Theoretical Physics in 1990 and was Research Fellow in the Department of Mathematics at the Technion-Israel Institute of Technology from 1993 till 1997. He joined Cardiff University in 1997. He is a Professor in the Cardiff School of Mathematics and WIMCS (Wales Institute of Mathematical and Computational Sciences), Chair in Mathematical Physics. His current research interests lie in the areas of spectral theory, stability of matter, image processing and machine learning. He has participated in EU TMR network on Partial Differential Equations and Quantum Mechanics (1996-2001). He was PI on three years grant from United State-Israel Binational Science Foundation (1996-1999), on three years EPSRC Research Grant 2003-2006. He was founding member of Cardiff Communication Research Centre. He had several joint with Hewlett-Packard research projects and several patents. He also did consultancy work for Reuters, London on mathematical models for Internet Security. His Impact Case Study "Meeting the Challenges of Data Security: Detecting Unusual Behaviour and Mining Unstructured Data" was featured in the leading article 'The impact of impact' in Times Higher. Out of almost 7,000 case studies that were submitted to REF2014 across all units of assessment from all universities, this case study was one of only 8 highlighted in the article! He was invited by Springer to prepare an article about this Impact Case Study to be publish in a special book "REF 2014 Impact Cases: UK Success Stories in Industrial Mathematics". The book was published in February 2015. Currently he is PI on joint with Hewlett-Packard and Dyfed Powys Police on “Crime Analysis and Predictive Policing”.
Keynote Speaker: Prof. Ah-Hwee Tan
Nanyang Technological University, Singapore
Bio: Dr Ah-Hwee Tan received a Ph.D. in Cognitive and Neural Systems from Boston University, a Master of Science and a Bachelor of Science (First Class Honors) in Computer and Information Science from theNational University of Singapore. He is currently a Professor of Computer Science and the Associate Chair (Research) at the School of Computer Science and Engineering (SCE), Nanyang Technological University. Prior to joining NTU, he was a Research Manager at the A*STAR Institute for Infocomm Research (I2R), heading the Text Mining and Intelligent Agents research programmes. His current research interests include cognitive and neural systems, brain-inspired intelligent agents, machine learning, and text mining. Dr. Tan has published over 200 technical papers in major international journals and conferences of his fields, including 6 edited books. He holds two US patents, five Singapore patents, and has spearheaded several A*STAR projects in commercializing a suite of knowledge management and text mining software. He serves as Associate Editor/Editorial Board Member of several journals, including IEEE Access, IEEE Transactions on Neural Networks and Learning, and IEEE Transactions on SMC Systems. He is a Senior Member of IEEE, a Member of Web Intelligence (WI) Technical Committee and Web Intelligence (WI) Conference Steering Committee, and Vice Chair of IEEE CIS Task Force on Towards Human-Like Intelligence.
Plenary Speaker: Prof. Wernhuar Tarng
National Tsing Hua University, Hsinchu, Taiwan
Bio: Wernhuar Tarng is currently a professor in the Institute of Learning Sciences and Technologies, National Tsing Hua University, Taiwan. He was the director of Computing and Networking Center, National Hsinchu University of Education, Taiwan from 1993 to 2004, and the chairman of the Graduate Institute of Computer Science from 2008 to 2012. From 1980, Prof. Tarng conducted his undergraduate study at National Chiao Tung University, Taiwan and he was graduated from the Department of Control Engineering in 1984. He received his M.S. degree (1987) and Ph.D. degree (1992) from the Department of Electrical and Computer Engineering, State University of New York at Buffalo, USA. Prof. Tarng has received more than 20 grant projects funded by Ministry of Science and Technology (MOST), Taiwan and published over 100 research papers in the field of computer science, engineering, networking, and learning technologies. Prof. Tarng was a visiting professor of Distant and Online Learning Center, Oxford University, UK in 2002 and a visiting scholar at Hear and Say Centre, Brisbane, Australia from 2014 to 2015. His current research interests include: Learning science and technology, virtual reality, augmented reality, game-based learning, image processing, pattern recognition, computer architecture, and computer networking.
Plenary Speaker: Prof. Nong Ye
Arizona State University, USA
Bio: Dr. Nong Ye is a tenured, full professor at Arizona State University. She received a PhD degree in Industrial Engineering from Purdue University, West Lafayette, in 1991, a MS degree in Computer Science from the Chinese Academy of Sciences in 1988, and a BS degree in Computer Science from Peking University, in 1985. Her past and current research has received over $8M external funding support and has produced eighty-seven journal papers and five books, including Data Mining: Theories, Algorithms, and Examples. Her recent research focuses on developing data mining algorithms to discover multivariate data associations for capturing both partial-value and full-value variable associations as well as both individual and interactive effects of multiple variables. New algorithms have been applied to cyber attack detection, engineering retention and education, and energy systems modeling.
Plenary Speaker: Prof. Yoshifumi Manabe
Kogakuin University, Japan
Bio: Yoshifumi Manabe was born in Osaka, Japan. He received B. E. and M. E. degrees in information engineering from Osaka University, Japan in 1983 and 1985. He received Ph. D. degree from Osaka University in 1993. He worked for Nippon Telegraph and Telephone Corporation(NTT) from 1985 to 2013. He was also a guest associate professor of Graduate School of Informatics, Kyoto University from 2001 to 2013. Since 2013 he is a Professor, Department of Information Systems and Applied Mathematics, Faculty of Informatics, Kogakuin University. His research interests include distributed algorithms, cryptography, and game theory.
Plenary Speaker: Prof. Vijayan K. Asari
University of Dayton, USA
Bio: Dr. Vijayan K. Asari (Krishnanasari Vijayan) is a Professor in Electrical and Computer Engineering and Ohio Research Scholars Endowed Chair in Wide Area Surveillance at University of Dayton, Dayton, Ohio. He is the director of the University of Dayton Vision Lab (Center of Excellence for Computer Vision and Wide Area Surveillance Research). Dr. Asari had been a Professor in Electrical and Computer Engineering at Old Dominion University, Norfolk, Virginia till January 2010. He was the founding director of the Computational Intelligence and Machine Vision Laboratory (ODU Vision Lab) at ODU. Dr. Vijay Asari is an elected Fellow of SPIE (Society of Photo-Optical Instrumentation Engineers) and a Senior Member of IEEE (Institute of Electrical and Electronics Engineers). He is a member of the IEEE Computational Intelligence Society (CIS), IEEE CIS Intelligent Systems Applications Technical Committee, IEEE Systems, Man and Cybernetics Society (SMC) Technical Committee of Human Perception in Vision, Graphics and Multimedia, IEEE Internet of Things (IoT) Community, Society for Imaging Science and Technology (IS&T), IS&T Data Analytics and Marketing Task Force, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and American Society for Engineering Education (ASEE). Dr. Asari is the co-organizer of several SPIE and IEEE conferences and workshops. Dr. Vijay Asari's research focuses in the development of algorithms and architectures for automatic object detection, recognition and tracking in wide area surveillance imagery captured by visible, infrared, thermal, multi-spectral, hyperspectral, and LiDAR (light detection and ranging) sensors. His research activities also include 3D scene creation from 2D video streams, 3D scene change detection, automatic visibility improvement of images captured in various weather conditions (low lighting, haze/fog, and rain), human identification by face recognition, human action and activity recognition, and human expression analysis. One of the recent significant advancements in Dr. Asari's research group is in the development of deep learning based autonomous systems for digital pathology image analysis for abnormal region segmentation by accurate abnormality detection and classification, and prediction of abnormalities for diagnostic purposes. Dr. Asari is also actively involved in brain signal analysis for emotion recognition and brain machine interface using EEG (electroencephalograph) data.