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Interdisciplinary Neuroscience Program
He

Haibo He

Associate Professor
Electrical, Computer, and Biomedical Engineering
(401) 874-5844
he@ele.uri.edu

Dr. Haibo He received the B.S. and M.S. degrees in electrical engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1999 and 2002, respectively, and the Ph.D. degree in electrical engineering from Ohio University (Athens, OH) in 2006. From 2006 to 2009, he was an assistant professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology (Hoboken, NJ). He is currently an assistant professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (Kingston, RI).

His research interests include computational intelligence, bio-inspired machine intelligence, self-adaptive intelligent systems, machine learning and data mining, hardware design for machine intelligence (VLSI and FPGA), and various application fields including smart grid, sensor networks, biomedical applications, and cognitive communication networks. His long-term research goal is to advance the fundamental principles of general-purpose brain-like intelligence, develop systematical methodologies to potentially replicate certain levels of such intelligence, and demonstrate its wide applications to real-world complex problems to bring this level of intelligence closer to reality. Please visit the Computational Intelligence and Self-Adaptive Systems (CISA) laboratory (http://www.ele.uri.edu/faculty/he/) for more information.

He has published 1 research book (Wiley), edited 6 conference proceedings (Springer), and authored and co-authored over 90 peer-reviewed journal and conference papers. His research results have been covered by national and international medias such as IEEE Smart Grid Newsletter, The Wall Street Journal, Yahoo!, Providence Business News, among others. His research projects have been funded by National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Department of Defense (DOD), U.S. Army, and others. He has delivered more than numerous invited talks internationally. He has served regularly on the Organizing Committees and Program Committees of the international conferences in his field, as well as the numerous Technical Committees within IEEE and other professional research communities. Currently, he is an Associate Editor of the IEEE Transactions on Neural Network and IEEE Transactions on Smart Grid.

He received the National Science Foundation (NSF) CAREER Award in 2011, Providence Business News (PBN) Rising Star Innovator of The Year (2011), Best Master Thesis award of Hubei Province, China (2002), Stocker Research Fellowship from Ohio University (2002 to 2005), and Academic Outstanding Graduate Student Award of Huazhong University of Science and Technology (1999 to 2002). He is a Senior Member of IEEE.

The Program

The Interdisciplinary Neuroscience Program (INP) offers a Master of Science (M.S.) degree, Doctor of Philosophy (Ph.D.) degree, or a Certificate in the Neurosciences. The program provides broad instruction across several neuroscience disciplines and gives students an opportunity to focus on a specific area of specialization.

Executive Committee Organizational Chart

News

RINC

Request for Proposals Rhode Island Neuroscience Collaborative Pilot Study Awards - Deadline for Applications: April15, 2014