Yu Zhang is an Assistant Professor with the Department of Bioengineering and the Department of Electrical and Computer Engineering in the P.C. Rossin College of Engineering and Applied Science at Lehigh University. Before joining Lehigh, he received postdoctoral training at the Wu Tsai Neuroscience Institute, Stanford University, and also at Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill. He was a Visiting Scientist at RIKEN Brain Science Institute, Japan. From 2013 to 2016, he worked as an Assistant Professor in the Department of Automation at East China University of Science and Technology where he got a Ph.D. degree in Control Science and Engineering (studied on Brain-Computer Interface) in 2013. From 2010 to 2012, he was a Research Associate with the RIKEN BSI, Japan. He is the author of over 100 research articles that have been published in the prestigious Journals and Conferences, such as Nature Biomedical Engineering, Nature Biotechnology, Nature Human Behaviour, NeuroImage, Proceedings of the IEEE, IEEE TCYB, IEEE TNNLS, IEEE TNSRE, IEEE TBME, AAAI, and MICCAI. He is an IEEE Senior Member and serving as Associate Editor for Journals including Frontiers in Neuroscience, IEEE Transactions on Industrial Informatics, and Brain-Computer Interfaces.



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Yu Zhang
Assistant Professor
Room D326, Iacocca Hall
111 Research Drive
Mountaintop Campus
Bethlehem, PA 18015


Postdoc Fellowship, Computational Neuroimaging, Stanford University, 2017-2020
Postdoc Fellowship, Medical Imaging Computing, University of North Carolina at Chapel Hill, 2016-2017
Ph.D., Brain-Computer Interface, East China University of Science and Technology, 2013
Research Associate, RIKEN Brain Science Institute, Japan, 2010-2012
B.S., Electrical Engineering, East China University of Science and Technology, 2008

Areas of Research

Computational Neuroscience, Neuroimaging, Brain Connectome, Neurobiomarker, Medical Imaging Computing, Machine Learning, Artificial Intelligence, Brain Computer Interface, Biomedical Engineering, Biomedical Signal Processing