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Neural Modeling: Computation to Application & Operation and Planning of the Future Low Carbon Power Systems

Release time:November 28, 2017

Date: 14:30-16:30, Nov 30, 2017

Venue: IRC 308

Guests: Li Yang, Hu Qinglei

 

Topic A: Neural Modeling: Computation to Application

Speaker: Dr. Rosa H. M. Chan

Bio of the Speaker:

Dr. Rosa H. M. Chan is currently an Associate Professor in the Department of Electronic Engineering at City University of Hong Kong. Dr. Chan received her PhD degree in Biomedical Engineering in 2011 at USC, where she also received her MS degrees in Electrical Engineering and Aerospace Engineering. Her research interests include computational neuroscience, neural prosthesis and brain-computer interface applications. She was the co-recipient of the Outstanding Paper Award of IEEE Transactions on Neural Systems and Rehabilitation Engineering in 2013, for their research breakthroughs in mathematical modelling for hippocampal cognitive prosthesis and memory facilitation. Dr. Chan was the Chair of the Hong Kong-Macau Joint Chapter of IEEE Engineering in Medicine and Biology Society (EMBS) in 2014 and is recently elected to the IEEE EMBS AdCom as Asia Pacific Representative (2018-2020).

 

Topic B: Operation and Planning of the Future Low Carbon Power Systems

Speaker: Dr. Fei Teng

Bio of the Speaker:

Dr. Fei Teng is a lecturer in the Department of Electrical and Electronic Engineering at Imperial College London. He currently leads the research on Future Power System Operation in Control and Power Research Group. He graduated with BEng from Beihang University, China in 2009 and obtained MS and PhD degrees at Imperial College London in 2010 and 2015, respectively. He then worked as a Research Associate at Imperial College and then an Assistant Professor at MINES ParisTech from 2015 to 2017. He is a member of IEEE PES SES Demand Response Working Group, IEA Wind Task 25 Working Group and the committee of CES UK Branch.

School of Automation Science and Electrical Engineering