[2024.11] My group currently has few vacancies for MPhil. and PhD. Competitive, curious, and self-driven candidates can contact me (kanghao.cheong@ntu.edu.sg) with your CV.
My research group leverages Parrondo games as a versatile mathematical tool, integrating it with domain expertise in fields like cities, biology, computing, and AI, to address complex challenges. Using a blend of game theory, stochastic modelling, applied statistics, and other methods, we aim to develop strategies for solving large-scale, multidisciplinary problems. My research interests also extend to AI applications in the medical, healthcare, and education domains.
Dr Cheong is part of the Division of Mathematical Sciences at NTU's School of Physical and Mathematical Sciences (SPMS), with a joint appointment in the College of Computing and Data Science (CCDS). He recently assumed the role of Assistant Dean (Continuing Education and Training) at the College of Science. Trained as a theoretical and computational scientist, his research primarily explores the interdisciplinary applications of mathematical sciences, particularly focusing on complex systems' dynamics. His notable work on Parrondo's games exemplifies how disadvantageous strategies across various domains can lead to beneficial outcomes. He employs stochastic processes, statistical analysis, and computational simulations to investigate counterintuitive behaviors in diverse systems, including physical, social, biological, and computing system. His research interests also extend to AI applications in the medical, healthcare, and education domains.
Dr Cheong received the BSC degree (Hons) in Applied Mathematics from the National University of Singapore (NUS), the postgraduate diploma in education from the National Institute of Education, and the PHD degree in Electrical and Computer Engineering from NUS. He was designated as a University Scholar with NUS. Before entering academia, Kang Hao managed a US$250M per year Academic Research Fund at the Singapore Ministry of Education. He served as an Assistant Professor in the Engineering Cluster at the Singapore Institute of Technology (SIT) from 2016 to 2018, where he received the Annual Teaching Excellence Award in 2018. Subsequently, he was an Assistant Professor at the Singapore University of Technology and Design (SUTD) from 2019 until October 2023, where he received the SUTD Annual Excellence in Teaching Award in 2022.
He is currently serving on the Editorial Board of Journal of Computational Science, Computers in Biology and Medicine, Scientific Reports, Frontiers in Human Neuroscience, Contemporary Mathematics and Games. He is recognized on the list of Top 2% in the Stanford University-Elsevier study, 2021, 2022, 2023. As an Advisor to the publisher World Scientific, Dr Cheong provides strategic guidance to enhance their publishing operations and adapt to the evolving academic landscape.
Creating a fully AI-based Adaptive Learning Platform for the Mathematics
Probing and machine learning of multi-modal neurophysiology-behavioral activities in early childhood of developing autism spectrum disorders (NeuroBeA)
Identifying Math Learning Difficulties with Video-evoked Brain Activity
Strategic Intelligence and Data Science: Advancing Complex Systems Science
Metaheuristic theory for adversarial defence on complex networks
2023, 2022, 2021 Top 2% Scientist worldwide in a study conducted by Stanford University with Elsevier
2022 IEEE Senior Member
2022 SUTD Annual Teaching Excellence Award
2018 SIT Annual Teaching Excellence Award
2012 Caring Teacher Award, NIE
2011 Agilent Technologies Teacher Award, Intel International Science & Engineering Fair panel, California
2010 – 2015 MOE Future Leaders Programme
2007 NUS University Scholar
2004 BP Science Colours Award
2003 Live Wire Award, Community Development Council (CDC) Central Singapore