Prof. Sergei Gorlatc
Universitaet Muenster, Institut fuer Informatik, Germany
Prof. Sergei Gorlatch is an internationally
acknowledged expert in the area of algorithms, architectures,
software and applications for modern and emerging computer and
networked systems. Sergei Gorlatch has been Full Professor of
Computer Science at the University of Muenster (Germany) since 2003.
Earlier he was Associate Professor at the Technical University of
Berlin, Assistant Professor at the University of Passau, and
Humboldt Research Fellow at the Technical University of Munich, all
Prof. Gorlatch has about 200 peer reviewed publications in renowned international books, journals and conferences. He is often delivering invited talks at international conferences and serves at their program committees. Prof. Gorlatch was principal investigator in several international research and development projects in the field of parallel, distributed, Grid and Cloud algorithms and computing, as well as e-Learning, funded by the European Commission and by German national bodies. Among his recent achievements in the area of data management, communications and future internet is the novel Real-Time Framework (www.real-time-framework.com) developed in his group as a platform for high-level development of real-time, highly interactive applications like multi-player online games, advanced e-Learning, crowd simulations, etc. In the area of high-performance computing, his group has been recently developing a high-level SkelCL library (skelcl.uni-muenster.de/) for efficient programming of parallel algorithms on emerging parallel and distributed many-core systems with accelerators.
Assoc. Prof. P. W. T. Pong
The University of Hong Kong, Hong Kong
Philip W. T. Pong is a chartered physicist, a chartered electrical engineer, and a chartered energy engineer. He is a registered professional engineer in electrical, electronics, and energy. He is working on spintronic magnetic field sensors, smart grid, and nano-bio at the Department of Electrical and Electronic Engineering (EEE), the University of Hong Kong (HKU). He received a PhD in engineering from the University of Cambridge in 2005. After working as a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) in the United States for three years, he joined the HKU Faculty of Engineering where he is now an associate professor working on development and applications of spintronic sensors and magnetic nanoparticle technologies in smart grid and smart living. He is a Senior Member of IEEE and Corporate Member of HKIE in Electrical, Electronics, and Energy Divisions. He is an associate editor for two SCI journals, and he serves on the editorial review board of the IEEE Magnetics Letters. He published over 200 technical papers. He is a Fellow of the Institute of Materials, Minerals and Mining and also a Fellow of the NANOSMAT Society.
Dr. Vincent Tam
The University of Hong Kong, Hong Kong
Dr. Tam completed his Ph.D. degree from the Department of Computer Science and Software Engineering in the University of Melbourne for his unprecedented work on integrating local search based constraint solvers into constraint logic programming. He is currently the Principal Lecturer and Honorary Associate Professor in the Department of Electrical and Electronic Engineering, HKU. He was the winner of the Faculty Best Teacher Award (2010) and the Faculty Outstanding Teaching Team Award (2013). Dr. Tam has over 100 internationally refereed publications, including 10 book chapters. His main research interests include big data analytics, computational finance, cloud/mobile computing, machine learning, and information visualization, in which he established collaborations with the Hong Kong Applied Science and Technology Research Institute (ASTRI) and various institutions in Australia, England, Japan and the U.S.A. Dr. Tam is active in participating in international conferences and reviewing for reputable journals. He was invited into the Program Committee of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000 - 2007), and served as the Publication Chair of ICTAI 2005, the Publicity & Workshop Chairs of the 6th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2012). He is currently the Chairman of the IEEE (HK) Computational Intelligence Chapter, and an Executive Board member of the IEEE Technical Committee on Learning Technology (TCLT).
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