AI-Enabled Disease Control and Prevention: Research and Practice
https://www.comp.hkbu.edu.hk/~jiming/
Abstract:
World Health Organization (WHO) has warned that "Disease X", with a hypothetical/unknown pathogen, could potentially pose serious threats to the World, since 2018. Based on the experience that the World has gained from the past pandemics, and to be best prepared for the possible future one(s) (e.g., "Disease X"), it is evident that artificial intelligence (AI) shall play an increasingly important role in the early or real-time detection and prevention of emerging or re-emerging infectious diseases, as well as in planning optimal intervention strategies. In this talk, I will present some of our on-going research work in AI-enabled disease control and prevention, and discuss certain promising areas for further innovation and deployment in this context.
Bio:
Professor Jiming Liu is currently Chair Professor in Computer Science, and Associate Vice-President (Research Development), at Hong Kong Baptist University (HKBU), where he and his team conduct funded research projects on AI and Machine Learning, Multi-Agent Autonomy-Oriented Computing, as well as Data-Driven Complex Systems Modeling and Computational Epidemiology, while at the same time engaging in the real-world challenges/initiatives of AI and Data Science-enabled disease control. Professor Liu earned his PhD in Electrical Engineering from McGill University. He has been a Fellow of the IEEE, since 2011.