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Complex systems modeling plays a pivotal role in characterizing and understanding biological, ecological, social and technological systems. In this talk, Prof. Liu addressed some of the important issues, promises, and challenges in data-driven discovery to unveil hidden mechanisms as well as intrinsic behavior of complex systems. This talk looked into several examples in the field of computational healthcare.  

Topic                         From Invisible to Inevitable: Challenges in Data-Driven Discovery (Poster) (PPT)
Speaker Prof. Jiming Liu,
Chair Professor of Computer Science, 
Associate Vice-President (Research)
Hong Kong Baptist University
Date 13 December 2018 (Thursday)
Time  2:30 p.m. - 3:30 p.m.
Venue  Room W311
Medium  English
Registration Link --
Registration deadline --
Remark  --

About Speaker

Jiming Liu received an M. Eng. and a Ph.D. in Electrical Engineering from McGill University, following a B.Sc. in Physics from East China Normal University and an M.Arts from Concordia University. He is currently Chair Professor of Computer Science and Associate Vice-president (Research) at Hong Kong Baptist University, where he also directs Centre for health Informatics as well as Joint Research Laboratory for Intelligent Disease Surveillance and Control (a partnership with Chinese Center for Diseases Control and Prevention). He is Fellow of IEEE.