Friday, September 29th
Victor Bahl is a Distinguished Scientist and the Director of Mobility & Networking research in Microsoft. He serves on the senior leadership team that oversees Microsoft Research's world-wide operations and is on the Redmond lab leadership team managing over 200 researchers. He advises Microsoft's CEO and his senior leadership team on long-term vision and strategy related to networked systems, mobile computing, wireless systems, cloud computing, and datacenter networking. He heads a high-powered group that executes on this vision through research, technology transfers to product groups, industry partnerships, and associated policy engagement with governments and research institutes around the world. Dr. Bahl has published over 125 papers, has been granted over 140 patents, and delivered over 40 keynotes. He has received several technical and leadership awards including the IEEE Koji Kobayashi Computers and Communications Award, ACM SIGMOBILE Outstanding Contributions Award, two United States FCC awards, a test-of-time award, three best paper awards, a distinguished service award, a distinguished alumni award (from University of Massachusetts), and a IEEE outstanding leadership award. Under his direction, his group has had game changing impact on Microsoft's cloud computing infrastructures both in the datacenter and in wide-area networking. Dr. Bahl is the founder of ACM SIGMOBILE, ACM MobiSys, ACM GetMobile and several other important conferences. With his wife, he co-founded Computing For All, a non-profit dedicated to increasing and enhancing computer science education for students of all ages and from all backgrounds. Dr. Bahl is a Fellow of the ACM, IEEE, and AAAS.
Jin-Yi Cai attended Fudan University (class of 77) and received his Ph. D. in 1986. He held faculty positions at Yale University (1986-1989), Princeton University (1989-1993), and UB (1993-2000), rising from Assistant Professor to Full Professor in 1996, and is currently a Professor of Computer Science and Steenbock Professor of Mathematical Sciences at the University of Wisconsin--Madison.
He received a Presidential Young Investigator Award in 1990, an Alfred P. Sloan Fellowship in Computer Science in 1994, a John Simon Guggenheim Fellowship in 1998. He has been elected a Fellow of ACM, AAAS, and a foreign member of Academia Europaea.
Always eager to meet new challenges and opportunities, Jian Pei is currently a Canada Research Chair (Tier 1) in Big Data Science and a Professor in the School of Computing Science at Simon Fraser University, and an associate member of the Department of Statistics and Actuarial Science. He is a famous researcher in data science, big data, data mining, and database systems. He is recognized as a Fellow of the Association of Computing Machinery (ACM) and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). At the same time, he is also renowned for his active and productive professional leadership.
Jian Pei is one of the most cited authors in data mining, database systems, and information retrieval. Since 2000, he has published one textbook, two monographs and over 200 research papers in refereed journals and conferences, which have been cited by 75000+ times. His H-index is 75. His research has generated remarkable impact substantially beyond academia. For example, his algorithms have been adopted by industry in production and popular open source software suites, such as Spark MLlib and WEKA.
As an accomplished data scientist, he maintains a wide spectrum of industry relations with both global and local industry partners. He founded the Pacific Blue Cross Health Informatics Laboratory, and is an active consultant for healthcare informatics, network security intelligence and computational finance. During his current sabbatical leave, he is working for Huawei as the Chief Data Scientist, the Chief Scientist of AI, the Chief Architect of AI, and a Technical VP, and leading the effort to build an advanced and comprehensive AI platform as well as domain specific AI applications for Huawei Cloud.
He received many prestigious awards, including the 2017 ACM SIGKDD Innovation Award, the 2015 ACM SIGKDD Service Award and the 2014 IEEE ICDM Research Contributions Award.
Saturday, September 30th
Sung-Mo "Steve" Kang received his B.S. (Summa Cum Laude) degree from Fairleigh Dickinson University, Teaneck, NJ in 1970, M.S. degree from the State University of New York at Buffalo in 1972, and Ph.D. from the University of California at Berkeley in 1975, all in electrical engineering. In 2014 he was awarded the Doctor of Science Honoris Causa by Fairleigh Dickinson University. From February 2013 to February 2017 he has served as the 15th President of Korea Advanced Institute of Science and Technology (KAIST). From March 2007 to June 2011, he has served as Chancellor and Professor of Engineering at UC Merced. He has also served on the California Council of Science and Technology, UC President's Science and Technology Board, Central Valley Higher Education Consortium Board, MentorNet Advisory Board, and as Chairman of the Board of the Great Valley Center.
Pavan Aduri obtained his PhD from Buffalo in 2001. His adviser was Alan Selman. He was a postdoc researcher at NEC research Institute 2001–2002. Currently he a professor of Computer Science at Iowa State University. His research interests include Complexity Theory and Large Data Algorithms.
Hu Ding is currently an assistant professor in the Department of Computer Science and Engineering at Michigan State University. Prior that, he held a joint postdoc position of UC Berkeley and Tsinghua University, which is titled as ``Simons-Berkeley Research Fellow”. He received his Ph.D degree in the Department of Computer Science and Engineering, State University of New York at Buffalo in Aug 2015. He received his Bachelor degree in Mathematics from Sun Yat-Sen (Zhong Shan) University in Jun 2009. His research centers around designing efficient geometric algorithms for machine learning in large-scale and high dimensions. His research emphasizes both theoretical development and their applications in real world. He is the recipient of NSF CRII award in 2017.
Rad Niazadeh is a Motwani Postdoctoral Research Fellow at Stanford University. He obtained his PhD in theoretical computer science from Cornell University, where he was advised by Bobby Kleinberg. Prior to that, he received his B.Sc. and M.Sc. in electrical engineering form Sharif University of Technology in 2008 and 2010, respectively. His research interests are in different areas of theoretical computer science and operations research, with a focus on "economics and computation". In particular, he is interested in algorithmic mechanism design, computational social choice, and online auctions.
Shriver received his Ph.D. in Computer Science from the University of Buffalo in 1971. He has published and lectured extensively throughout the US and abroad in the design and implementation of computer hardware and software systems. He was made an IEEE Fellow in 1990 for his work in Computer Systems Organization and Microprogramming. He has been program chairman or general chairman of over 30 international conferences or workshops in a variety of technical areas. He was president of the IEEE Computer Society in 1992. Shriver was editor-in-chief of two IEEE Computer Society periodicals, Computer and IEEE Software and an editorial board member of a number of other periodicals. Shriver was the Department Group Manager of Software Technology at IBM's T. J. Watson Research Center in the mid-1980s. He served as Vice-President for Research at the University of Louisiana at Lafayette where he held an Eminent Scholar Chair in Computer Science. He has also held an endowed chair at the University of Hawaii and was an adjunct professor at the University of Aarhus in Denmark, a Professor-at-Large in the Computer Science at the University of Tromsø in Norway, and an Honorary and Visiting Professor in the Department of Computer Science at the University of Hong Kong. From 2004 to 2016, he was the Director of Research at the Liddy Shriver Sarcoma Initiative, an organization which awarded over 60 research grants in the rare family of cancers known as sarcoma.
Hongyi Wu is the Batten Chair of Cybersecurity and the Director of the Center for Cybersecurity Education and Research at Old Dominion University (ODU). He is also a Professor in Department of Electrical and Computer Engineering and holds joint appointment in Department of Computer Science. Before joining ODU, he was an Alfred and Helen Lamson Endowed Professor at the Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette (UL Lafayette). He received the B.S. degree in scientific instruments from Zhejiang University, Hangzhou, China, in 1996, and the M.S. degree in electrical engineering and Ph.D. degree in computer science from the State University of New York (SUNY) at Buffalo in 2000 and 2002, respectively. His research focuses on networked cyber-physical systems for security, safety, and emergency management applications, where the devices are often light-weight, with extremely limited computing power, storage space, communication bandwidth, and battery supply. He received NSF CAREER Award in 2004 and UL Lafayette Distinguished Professor Award in 2011.
The Emerging Topics in Computing (ETC) symposium will cover topics in computer science and engineering, information technology and cutting-edge computing applications in academia and industries. In 2013, IEEE Computer Society launched a new transaction on emerging topics in computing which covers topics such as enterprise computing systems, computational networks, hardware and embedded system security, high performance computing, next generation wireless computing systems, Internet of Things (IoT), and new hardware for computing. This symposium will examine some of the recent developments in this area and start a new dialog between academia and industries.
General Chair, ETC; Associate Dean for Research and Graduate Education, SEAS; Professor, CSE