Haibo He, Ph. D.
University of Rhode Island

Dr. He is currently the Robert Haas Endowed Chair Professor at the University of Rhode Island (Kingston, RI). 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 the Director of the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory. His research interests include computational intelligence, machine learning and data mining, cyber-physical systems, human-robot interaction, smart grid, cyber security, and arious application fields. The long-term research goal is to advance the fundamental principles and mathematical foundations 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.

He has published 1 research book entitled "Self-Adaptive Systems for Machine Intelligence" with Wiley (Links: Wiley or Amazon), edited 1 book entitled "Imbalanced Learning: Foundations, Algorithms, and Applications" with Wiley-IEEE (Links: Wiley or Amazon), edited 6 conference proceedings with Springer, and authored/co-authors over 260 peer-reviewed journal and conference papers, including one Cover Page Highlighted Paper in the IEEE Transactions on Information Forensics and Security, one Most-Cited Paper in the IEEE Transactions on Knowledge and Data Engineering, and several highly-cited papers in the IEEE Transactions on Power Delivery and IEEE Transactions on Neural Networks.

Since 2006 to date, he has secured over $6 million external research funding from National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Department of Defense (DOD), Army Research Office (ARO), U.S. Army ARDEC, National Aeronautics and Space Administration (NASA), and Bureau of Ocean Energy Management (BOEM), and various industry companies. His research have been covered by national and international medias such as IEEE Smart Grid Newsletter, The Wall Street Journal, Yahoo!, Providence Business News, URI Big Thinkers, URI Innovation, among others.

He has advised 6 post-docs, 20 Ph.D. students (8 graduated, including 3 tenure-track faculty positions), 4 Master students, and many undergraduate students (including one Best Senior Design project team), and hosted 10+ Visiting Scholars. Three of his Ph.D. students won the prestigious "Chinese Government Award for Outstanding Student Abroad", the highest honor bestowed by the Chinese government for overseas students (CCTV, SinovisionNet). One Ph.D. student received the 2016 URI Graduate School Excellence in Doctoral Research Award, the only award conferred in the year across the entire university.

He regularly serves on the Organizing Committees and Program Committees of the international conferences in his field, including the General Chair of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI'14). He serves on numerous Technical Committees within IEEE and other professional societies, including the Chair of the IEEE TNNLS Outstanding Paper Award Subcommittee (2017),  Chair of the IEEE CIS Neural Network Technical Committee (NNTC) (2013 and 2014), Chair of the IEEE CIS Emergent Technology Technical Committee (ETTC) (2015), Vice Chair of the IEEE CIS ADPRL TC, Vice Chair of the Computational Intelligence in Smart Grid Task Force, IEEE-USA Energy Policy Committee, among others. He has delivered over 60 invited talks/keynotes around the globe.

He currenlty serves as the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, as well as on the editorial board for several other IEEE journals.

He received the IEEE International Conference on Communications (ICC) Best Paper Award (2014), IEEE CIS Outstanding Early Career Award (2014), K. C. Wong Research Award, Chinese Academy of Sciences (2012), National Science Foundation (NSF) CAREER Award (2011), Providence Business News (PBN) "Rising Star Innovator" Award (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.