High Performance Computing and Cluster Technologies

Keynote & Plenary Speakers

HPCCT2019 Keynote Speakers

 

To be confirmed as soon as possible... 

 

HPCCT2018 Speakers

Jane Doe
Prof. WANG Jun, City University of Hong Kong, Hong Kong
Fellow of IEEE & IAPR
王钧教授, 香港城市大学

Biography: Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part-time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University as a Changjiang Chair Professor. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published about 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems (2006-2013), and a member of the editorial board of Neural Networks (2012-2014) as a guest editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), Neurocomputing (2008, 2014, 2016), and International Journal of Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors (2013-2015), He is an IEEE Fellow, IAPR Fellow, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government (2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE Computational Intelligence Society (2014), among others.

 

Jane Doe
Prof. Steven Guan, Xi'an Jiaotong-Liverpool University, China
关圣威教授, 西交利物浦大学

Biography: Steven Guan received his BSc. from Tsinghua University (1979) and M.Sc. (1987) & Ph.D. (1989) from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK.
Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined the academia for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor for 8 years.
Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, and pseudorandom number generation. He has published extensively in these areas, with 130+ journal papers and 180+ book chapters or conference papers. He has chaired, delivered keynote speech for 80+ international conferences and served in 180+ international conference committees and 20+ editorial boards. There are quite a few inventions from Prof. Guan including Generalized Minimum Distance Decoding for Majority Logic Decodable Codes, Prioritized Petri Nets, Self- Modifiable Color Petri Nets, Dynamic Petri Net Model for Iterative and Interactive Distributed Multimedia Presentation, Incremental Feature Learning, Ordered Incremental Input/Output Feature Learning, Input/Output Space Partitioning for Machine Learning, Recursive Supervised Learning, Reduced Pattern Training using Pattern Distributor, Contribution Based Feature Selection, Incremental Genetic Algorithms, Incremental Multi-Objective Genetic Algorithms, Decremental Multi-objective Optimization, Multi-objective Optimization with Objective Replacement, Incremental Hyperplane Partitioning for Classification, Incremental Hyper-sphere Partitioning for Classification, Controllable Cellular Automata for Pseudorandom Number Generation, Self Programmable Cellular Automata, Configurable Cellular Automata, Layered Cellular Automata, Transformation Sequencing of Cellular Automata for Pseudorandom Number Generation, Open Communication with Self-Modifying Protocols, etc.

Jane Doe
Prof. Jun Xu, Institute of Computing Technology, Chinese Academy of Sciences, China
徐君教授, 中国科学院大学

Biography: Jun Xu is a professor at Institute of Computing Technology, Chinese Academy of Sciences (ICT-CAS). He received his PhD in Computer Science from the Nankai University, Tianjin, China. Before joining ICT-CAS, he was a senior researcher at Noah’s Ark Lab, Huawei Technologies at Hong Kong and an associate researcher at Microsoft Research Asian. His research interests include learning to rank for information retrieval, semantic matching in search, and text data analysis. Some of his work has published on top conferences and journals and received over 2000 citations (according to Google Scholar). He is also the author of a book: “Semantic Matching in Search” (NOW publishers). On product contributions, he has transferred several technologies to Microsoft Bing Search, Microsoft SharePoint Search, and Huawei GTS Search. On professional services, he has organized SIGIR 2014 workshop on Sematic Matching in Information Retrieval, served as Senior PC for ACML, as PC of top conferences on web search and data mining, e.g., SIGIR, WWW, NIPS, IJCAI, CIKM, WSDM, as reviewer of several leading journals and publishers, e.g., TKDE, TOIS, TIST, NOW publishers, and Springer.

Jane Doe
Assoc. Prof. Yong Chen, Texas Tech University, USA

Biography: Yong Chen is an Associate Professor and Director of the Data-Intensive Scalable Computing Laboratory in the Computer Science Department of Texas Tech University. He is also a Site Director of the Cloud and Autonomic Computing center at Texas Tech. His research interests include data-intensive computing, parallel and distributed computing, high-performance computing, and cloud computing. He has published over 100 research papers in international journals and conferences, and received several awards for his research activities including the IEEE TCSC (Technical Committee on Scalable Computing) Young Achievers Award, the Ralph E. Powe Junior Faculty Enhancement Award, Texas Tech University Whitacre College of Engineering Research Award, Texas Tech University Mortar Board and Omicron Delta Kappa Outstanding Faculty Award, several Best Paper Awards including The 11th IEEE International Conference on Networking, Architecture, and Storage (NAS), The 14th and the 9th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), The 7th International Conference on Future Information Technology, and Best Paper finalist and Best Student Paper finalist at the ACM/IEEE Supercomputing Conference (SC). His research has been funded by the National Science Foundation, Department of Defense, Department of Energy/Argonne National Laboratory, Oak Ridge Associated University, Dell Inc., Nimboxx, Jabil/Stack Velocity, and NVidia. He has also served as editors, chairs, and program committee members for numerous international journals, conferences, and workshops. More information about him can be found at http://www.myweb.ttu.edu/yonchen/.