Recently, the 2016 newly elevated IEEE Fellows were announced. Four alumni of School of Computer Science of University of Science and Technology of China (USTC), Yu Hu, Shigang Chen, Chenyang Xu, and Chenyang Lu were newly elevated to IEEE Fellows. Five more USTC alumni, Li Xu, Daniel Zeng, Songwu Lu, Zhengdao Wang, and Dan Jiao, are also elevated to IEEE Fellows. Until November 2015, 47 USTC alumni were named IEEE Fellows.
Yu Hu received his B.S. degree in Computer Science from USTC in 1989, his M.S. degree from Yale University in 1992, and his Ph.D. degree from Harvard University in 1997. He is currently a professor of Purdue University. His research interests are in mobile, distributed systems, operating systems, networking, and high performance computing. He received a Honda Initiation Grant Award in 2002, the NSF CAREER Award in 2003, and the 2009 Purdue University College of Engineering Early Career Research Award. Hu is an ACM Distinguished Scientist.
Shigang Chen received his B.S. degree in computer science from USTC in 1993, and his M.S. and Ph.D. degrees in computer science from University of Illinois at Urbana-Champaign in 1996 and 1999 respectively. After graduating from UIUC, he worked with Cisco Systems for three years, and then joined University of Florida in 2002. His research area contains big network data, cyber-security, RFID systems, cloud computing, and cyber-physical transportation systems. He has published 140+ peer-reviewed journal/conference papers and hold 12 US patents. Chen was a recipient of IEEE Communications Society Best Tutorial Paper Award in 1999 and NSF CAREER Award in 2007. Currently he serves as an associate editor for IEEE/ACM Transactions on Networking and IEEE Journal of RFID. Chen was elevated to IEEE Follow for his contributions to quality of service provisioning and policy-based security management in computer networks.
Chenyang Xu received his B.S. degree in computer science from USTC in 1993, and his M.S. and Ph.D. degrees in electrical and computer engineering from the Johns Hopkins University in 1995 and 1999 respectively. He was a postdoctoral fellow and then an associate research scientist of both the Center for Imaging Science and the Center for Computer Integrated Surgical Systems and Technology at the Johns Hopkins University, from March 1999 to September 2000, after which he joined Siemens Corporate Research. Since 2006, he has been heading the Siemens Corporate Research Interventional Imaging Program at Princeton, USA and co-directing Siemens Center for Medical Imaging Validation (CMIV), Beijing, China. Xu was elevated to IEEE Fellow for contributions to medical imaging and image-guided interventions.
Chenyang Lu received the B.S. degree from USTC in 1995, the M.S. degree from Chinese Academy of Sciences in 1997, and the Ph.D. degree from University of Virginia in 2001. He is currently the Fullgraf Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. His research interests include real-time systems, wireless sensor networks, cyber-physical systems and Internet of Things. He is the author and co-author of over 150 research papers with over 14,000 citations and an h-index of 53. He is Editor-in-Chief of ACM Transactions on Sensor Networks, Area Editor of IEEE Internet of Things Journal and Associate Editor of the new ACM Transactions on Cyber-Physical Systems and the Real-Time Systems Journal. Lu was named IEEE Fellow for contributions to adaptive real-time computing systems.
The Institute of Electrical and Electronics Engineers (IEEE) is a professional association of electrical and electronic engineering, telecommunications, computer engineering, and allied disciplines. It is the world's largest association of technical professionals with more than 400,000 members in chapters around the world. IEEE Fellow is a distinction reserved for select IEEE members. The honor is conferred by the Board of Directors upon a person with an extraordinary record of accomplishments in any of the IEEE fields of interest.
(FU Hao, School of Computer Science and Technology)
