agent-based models for complex adaptive systems,
large-scale multi-objective optimization, game theory
for optimal solutions, heterogeneous data mining
and machine learning, large-scale feature extraction
Providing smart health care is another area that
receives significant interest among the researchers in
Singapore. Specific research in this area has focused
on multiple areas. Researchers have focused on devel-
oping graphical model–based methods to identify
health state and design diagnostic tests for patients
whose situation may deteriorate over time. There are
also AI research efforts aimed at blocking the spread
of communicative diseases through well-designed
management guidelines. Another problem of interest
has been in deciding on the placement and move-
ment of emergency response vehicles to reduce
response times in dealing with emergency incidents.
Finally, researchers have focused on building techniques at the intersection of artificial intelligence and
operations research to design and schedule health-care resources for efficient health care. Researchers at
the National University of Singapore, the Singapore
University of Technology and Design, and Singapore
Management University have done extensive
research in this area and are in the process of developing systems for specialized problems to improve
efficiency of health care. AI contributions in addressing issues related to health care have focused on
graphical models, machine learning, sequential decision-making under uncertainty, influence maximization, and operations research.
Because of focused funding for academic research as
well as translational funding across most areas in AI
that serve the building of a smart nation, Singapore
has witnessed a surge in the number of research pub-
lications at top tier venues and also seen an increase
in AI based translational projects, research centers,
1. See the Singapore MIT Alliance for Research and Technology (SMART) Centre on Future Urban Mobility
2. See the FUJITSU-SMU Urban Computing and Engineering
Lab ( unicen.smu.edu.sg).
3. A recent article on PAWS (PAWS — A Deployed Game-Theoretic Application to Combat Poaching) was published
in the spring 2017 AI Magazine.
4. See the Advanced Remanufacturing and Technology Centre (www.a- star.edu.sg/artc).
Varakantham, P.; Chuin, L. H.; and Yuan, Z. 2013. Scalable
Randomized Patrolling for Securing Rapid Transit Networks.
In Proceedings of the Twenty-Fifth Innovative Applications in
Artificial Intelligence Conference (IAAI- 13). Palo Alto, CA: AAAI
Yin, Y.; An, B.; Jain, M. 2014. Game-Theoretic Resource Allocation for Protecting Large Public Events. In Proceedings of
the 28th AAAI Conference on Artificial Intelligence (AAAI’ 14),
826–834. Palo Alto, CA: AAAI Press.
Zhao, M.; An, B.; Kiekintveld, C. 2016. Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential
Spear Phishing Attacks. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’ 16), 658–665. Palo Alto,
CA: AAAI Press.
Pradeep Varakantham is a Lee Kong Chian Fellow and an
associate professor in the School of Information Systems at
Singapore Management University, Singapore. He received
his PhD in computer science from University of Southern
California. His research interests include artificial intelligence, machine learning, planning under uncertainty, multiagent systems, and large-scale optimization. He is a member of the board of directors of IFAAMAS.
Bryan Low is an assistant professor in the Department of
Computer Science at the National University of Singapore.
He obtained his PhD degree in Electrical and Computer
Engineering from Carnegie Mellon University in 2009. His
research interests include probabilistic machine learning,
planning under uncertainty, and multiagent/robot systems.
He is currently serving as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of
Artificial Intelligence and Robotics.
Bo An is an assistant professor at the School of Computer
Science and Engineering, Nanyang Technological University. He received his PhD degree in computer science from the
University of Massachusetts, Amherst. His current research
interests include artificial intelligence, multiagent systems,
game theory, and optimization. He is a member of the editorial board of JAIR and the associate editor of JAAMAS. He
is member of the board of directors of IFAAMAS.
Jie Zhang is an associate professor of the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also an academic fellow of the Institute of Asian Consumer Insight and an associate of the
Singapore Institute of Manufacturing Technology
(SIMTech). He obtained his PhD from the Cheriton School
of Computer Science at the University of Waterloo, Canada,