Jiming LIU, Prof

Accepting PhD Students

PhD projects

Machine Learning; AI-Enabled Disease Control; Complex Systems/Networks

1988 …2024

Research activity per year

Personal profile

Chinese Name

劉際明

Biography

Professor Jiming Liu is a Chair Professor in Computer Science (since 2010), and the Associate Vice-President (Research Development), at Hong Kong Baptist University (HKBU).  He joined HKBU in late 1993, and served as the Associate Vice-President (Research), the Dean of the Faculty of Science, the Associate Dean of Science (Research), the Head of the Department of Computer Science, and the Director of the Centre for Health Informatics.

Professor Liu earned his PhD and Master of Engineering degrees in Electrical Engineering (Robotics), both from McGill University, Canada.  His research journey, for more than three decades, has covered multiple fields, including: Artificial Intelligence & Machine Learning, Multi-Agent Autonomy-Oriented Computing (AOC) & Web Intelligence (WI), Complex Systems & Complex Networks, and Health Informatics & Computational Epidemiology.  Professor Liu was elected as a Fellow of the IEEE (Institute of Electrical and Electronic Engineers) in 2011, for his research contributions to Multi-Agent 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.  He has been invited to deliver Keynote or Plenary Talks at numerous international conferences in the fields of Computer Science and Artificial Intelligence, including the International Joint Conference on Artificial Intelligence (IJCAI).

In the recent years, for over a decade, Professor Liu has led funded research projects, as well as socially impactful initiatives, towards AI and Data Science-enabled transformation in disease control, global health, and beyond.  He and his team worked closely with the Chinese Center for Disease Control and Prevention (CCDC) / the National Institute of Parasitic Diseases (NIPD), e.g., on the last-mile challenges of Malaria Elimination — one of the major milestones in global health.

刘际明教授现任香港浸会大学协理副校长(科研发展),计算机科学讲座教授,以及香港浸会大学─国家热带病研究中心智能化疾病监测联合实验室主任。刘教授曾任浸会大学协理副校长(科研),理学院院长,计算机科学系系主任,以及香港浸会大学健康信息学中心(Centre for Health Informatics)主任。

刘教授于加拿大麦吉尔大学(McGill University)获得电机工程(机器人专业)博士学位。他在过去30多年的主要研究方向包括:人工智能与机器学习,自主机算(Multi-Agent Autonomy-Oriented Computing, AOC) 与网络智能(Web Intelligence, WI),数据驱动的复杂系统和复杂网络建模,以及健康信息学与疾病控制。刘际明教授是网络智能(WI)领域的主要创建者之一。因在网络智能及自主计算(AOC)领域的杰出贡献,刘教授于2011 年获推选为国际电气与电子工程师协会会士(IEEE Fellow)。2017年,刘教授荣获中国人工智能学会(Chinese Association for Artificial Intelligence,CAAI)颁发的吴文俊人工智能科学技术奖。刘教授曾多次受邀在著名国际学术会议(如IJCAI等)上做主题/特邀报告。

近年,刘教授致力于运用人工智能与数据科学方法解决全球公共卫生中的挑战性问题。通过与中国疾病预防控制中心紧密合作,刘教授和他的研究团队一起将所开发的人工智能技术应用于疟疾风险评估与主动监测,为中国2020年成功消除疟疾作出贡献。

Research Interests

1.  Artificial Intelligence & Machine Learning
2.  Multi-Agent Autonomy-Oriented Computing (AOC) & Web Intelligence (WI)
3.  Complex Systems & Complex Networks
4.  AI for Social Good / Disease Control & Computational Epidemiology

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

Education/Academic qualification

PhD, Robots and Intelligent Systems, McGill University (Montreal)

Award Date: 20 Jan 1994

Keywords

  • Q Science (General)
  • Artificial Intelligence
  • Machine Learning
  • Autonomous Multi-agent Systems
  • Complex Systems
  • Disease Control & Prevention
  • One Health

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