Title: Transforming Real-Life Applications with Computational Neuroscience

Dr. Rosa H. M. Chan (陳皓敏)

Associate Professor, Department of Electrical Engineering

Associate Head (EE), Department of Electrical Engineering

City University of Hong Kong, Hong Kong, China

Abstract:In the last decade, we have witnessed astounding technical advances for recording and manipulating neural activities. As the amount of experimental data made accessible has gradually increased in recent years, it is now possible to reconsider many of the longstanding questions in neuroscience. In this talk, I will review the development of neural interfaces and mathematical models of biological neural circuits, which provide solutions for reverse-engineering neural interconnections and building next-generation assistive devices to restore nervous system function damaged by disease or injury for patients. From what we learned from neural modeling, I will discuss our recent work on improving artificial neural networks for lifelong learning with brain connectivity-inspired strategies, which may also enhance human-computer interface performance.

Biography: Dr. Rosa H. M. Chan is currently an Associate Professor and Associate Head (Research and Graduate Programmes) in the Department of Electrical Engineering at City University of Hong Kong. Her research interests include computational neuroscience, neural prosthesis, and human-computer interaction. She received a B. Eng. (1st Hon.) degree in Automation and Computer-Aided Engineering from The Chinese University of Hong Kong in 2003. She was later awarded the Croucher Scholarship and Sir Edward Youde Memorial Fellowship for Overseas Studies in 2004. She received her Ph. D. degree in Biomedical Engineering in 2011 from the University of Southern California, where she also earned her M. S. degrees in Biomedical Engineering, Electrical Engineering, and Aerospace Engineering.  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 modeling for cognitive prosthesis. Dr. Chan is VP-Elect (Finance) of IEEE Engineering in Medicine and Biology Society (EMBS). She was the Chair of the Hong Kong-Macau Joint Chapter of IEEE EMBS in 2014, and elected to the IEEE EMBS Administrative Committee (AdCom) as Asia Pacific Representative (2018-2022). Currently, she is an editorial board member of the Journal of Neural Engineering and an area editor (neural signal processing and imaging) of Encyclopedia Brain (IEEE-Wiley).

2023年6月21日（周三）16:00-16:30

逸夫人文馆报告厅, 华南理工大学五山校区

欢迎广大师生参加！