Lionel M. Ni earned the B.S. degree in electrical engineering from National Taiwan University in 1973, the M.S. degree in electrical and computer engineering from Wayne State University, Detroit, MI, in 1977, and the Ph.D. degree in electrical and computer engineering from Purdue University, West Lafayette, IN, in 1980. He is Chair Professor in the Computer Science and Engineering Department at HKUST. He served as the Department Head from 2002 to 2008. He also serves as the Special Assistant to the President, Dean of HKUST Fok Ying Tung Graduate School, and Director of HKUST China Ministry of Education/Microsoft Research Asia IT Key Lab. He was the Chief Scientist of the National Basic Research Program of China (973 Program) on Wireless Sensor Networks. Prior to coming to HKUST, Professor Ni was a full Professor in Computer Science and Engineering at Michigan State University where he had stayed from 1981 to 2002. He was co-founder and CEO of CC&T Technologies, Inc. (1998-2001).
Qing Yang is Distinguished Engineering Professor in the Department of Electrical, Computer, and Biomedical Engineering at University of Rhode Island where he has been a faculty member since 1988. He is a director of High Performance Computing Lab (HPCL) of URI and is a recipient of 8 accomplishment awards while serving at URI such as Faculty Excellence Award, Distinguished Engineering Professor Award, Outstanding Intellectual Property Award. Yang is a Fellow of IEEE. Besides being a principal investigator of many academic research projects, Yang has also done collaborative research with IBM, Intel, EMC, Freescale, and several startup companies in the Boston area.
He received his B.Sc. in computer science from Huazhong University of Science and Technology, Wuhan, China, in 1982, M.A.Sc. in electrical engineering from University of Toronto, Canada, in 1985, and Ph.D degree in computer Engineering from The Center for Advanced Computer Studies, University of Louisiana, Lafayette, in 1988.
Aidong Zhang is a William Wulf Faculty Fellow and Professor of Computer Science and Biomedical Engineering in the School of Engineering and Applied Sciences at University of Virginia. She is also affiliated with the Data Science Institute at University of Virginia. Her research interests focus on data mining/data science, machine learning, bioinformatics and health informatics. She is fellow of ACM and IEEE.