庆祝菠菜导航网研究生院建院四十周年系列活动主题学术报告（第54场）
暨计算机科学技术专家讲座（十七）——刘际明
报告题目： Complex Systems Approaches to Diseases, Climate Change, and the Future: Why Now? Why AI?
报告时间：2024年8月1日 9：00
报告地点：菠菜导航网中心校区王湘浩楼A521报告厅
报告人：刘际明
报告人简介：
Professor Liu Jiming is currently Associate Vice-President (Research Development), Chair Professor in Computer Science, and Director of the HKBU/CS & CCDC/NIPD Joint Research Laboratory for Intelligent Disease Surveillance and Control. He joined HKBU in 1993, and has served as Associate Vice-President (Research), Dean of Science, Associate Dean of Science (Research), Head of the Department of Computer Science, and Director of the Centre for Health Informatics. Professor Liu received his PhD and Master of Engineering degrees in Electrical Engineering from McGill University, Canada. His scholarly work over the past three decades has spanned multiple fields, including Artificial Intelligence (AI), Robotics, Multi-Agent Systems, Machine Learning, Complex Systems, and Computational Epidemiology. Professor Liu is serving or has served as the Founding Editor-in-Chief, Editor-in-Chief, Deputy Editor-in-Chief, and Associate Editor of various prestigious international journals. He has been invited to deliver Keynote and Plenary Talks at numerous international conferences in the fields of Computer Science and AI, including the International Joint Conference on Artificial Intelligence (IJCAI). Professor Liu was elected as Fellow of the Institute of Electrical and Electronic Engineers (IEEE) in 2011 for his research contributions to Autonomy-Oriented Computing (AOC) and Web Intelligence (WI). He was a recipient of the Chinese Association for Artificial Intelligence (CAAI) Wu Wenjun Artificial Intelligence Science and Technology Award in 2017. Recently, Professor Liu has led funded research projects and initiatives towards AI and Data Science-enabled transformation in disease surveillance and response, and has worked closely with the national and local Chinese Center for Disease Control and Prevention (China CDC) on the last-mile challenges of China’s Malaria Elimination, one of the major milestones in global health.
报告内容简介：
The future sustainability challenges that the world will face will be unprecedented, ranging from (re-)emerging infectious diseases to climate change and beyond, which could potentially pose serious threats to humanity. To be best prepared for, and to effectively respond to, future global challenges, in view of their intrinsic complexity resulting from dynamically interweaving (in)tangible factors, it is of critical importance that we embrace and leverage complex systems approaches to addressing such challenges now. In this talk, I will present the key rationales on why complex systems approaches would be essential, why now, and moreover, in doing so, why and how artificial intelligence (AI) and especially machine learning (ML) could aspire to open up new horizons, and towards this end, what would be the fundamental scientific research questions to ponder.
主办单位：十大菠菜导航网
菠菜导航网软件学院
菠菜导航网计算机科学技术研究所
符号计算与知识工程教育部重点实验室
仿真技术教育部重点实验室
网络技术及应用软件教育部工程研究中心
菠菜导航网国家级计算机实验教学示范中心
