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Dongrui Wu

Location: NY, USA

Dongrui Wu received a B.E in Automatic Control from the University of Science and Technology of China (USTC), Hefei, Anhui, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore (NUS), Singapore, in 2005, and a PhD in Electrical Engineering from the University of Southern California (USC), Los Angeles, CA, in 2009. He was a Research Associate in the USC Institute for Creative Technologies and Signal Analysis and Interpretation Laboratory from 2009 to 2010, and a Lead Research Engineer in the Machine Learning Lab, GE Global Research, Niskayuna, NY, from 2010 to 2015. Now he is starting his own business. Dongrui Wu's research interests include affective computing, brain-computer interface, computational intelligence, intelligent control, machine learning, and optimization. Dongrui Wu has over 80 publications, including a book “Perceptual Computing” (with J.M. Mendel, Wiley-IEEE, 2010). He received IEEE International Conference on Fuzzy Systems Best Student Paper Award in 2005, IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award in 2012, IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, and North American Fuzzy Information Processing Society (NAFIPS) Early Career Award in 2014. He was one of 200 selected young researchers worldwide to attend the 1st Heidelberg (Abel/Fields/Turing) Laureate Forum in 2013, and one of 30 selected young U.S. engineers to attend the National Academy of Engineering 2015 German-American Frontiers of Engineering Symposium. Dongrui Wu had worked on a broad range of projects from GE Capital, Healthcare, Transportation, Power and Water, and Oil and Gas. Two of his projects won the prestigious CIO 100 Awards in 2012 (TrueSense for GE Water) and 2014 (Fleet Optimizer for GE Capital), respectively. Additionally, he received 10 Above and Beyond Awards from GE for outstanding performance. Dongrui Wu is an Associate Editor of IEEE Transactions on Fuzzy Systems and IEEE Transactions on Human-Machine Systems, and an Editorial Board member of PeerJ Computer Science and Journal of Applied Computer Science. He was the lead Guest Editor of the IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence and Affective Computing. He is a Senior Member of IEEE, an Executive Committee member of the Association for the Advancement of Affective Computing (AAAC), and a member of IEEE Systems, Man and Cybernetics Society Brain-Machine Interface Systems Technical Committee, IEEE CIS Fuzzy Systems Technical Committee, Emergent Technologies Technical Committee, and Intelligent Systems Applications Technical Committee. He has been Chair/Vice Chair of the IEEE CIS Affective Computing Task Force since 2012.

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