Contact
Biography
Dr. Chong is an Associate Professor with the School of Computer Science, University of Nottingham Malaysia Campus. He is a member of the Automated Scheduling, Optimization and Planning Research Group, School of Computer Science, University of Nottingham, UK. He was a Marie Sklodowska-Curie Fellow (2016-2018) and currently an Honorary Research Fellow with the School of Computer Science, University of Birmingham, UK .
Teaching Summary
2019-2020:
Advanced Algorithms and Data Structures
Project in Advanced Algorithms and Data Structures
Machine Learning (20 Credits)
Simulation and Optimisation for Decision Support (20 Credits)
Fundamentals of Artificial Intelligence (Compulsory)
Previously:
Advanced Algorithms and Data Structures
Project in Advanced Algorithms and Data Structures
Simulation and Optimisation for Decision Support (20 Credits)
Fundamentals of Artificial Intelligence (Compulsory)
Mathematics for Computer Scientists (Compulsory)
Machine Learning
Research Summary
Main Underlying Research Theme -- Understanding complex real-world strategic decision-making systems naturally as models that involve populations of learning agents (coevolutionary systems):
Unified Framework for Complex Coevolutionary Systems -- Uncover principle structures underlying agent behaviors (digraph theory) through sampling processes modeling agent learning (Markov chains) for precise characterizations of coevolution.
Complete Characterization of Complex Coevolutionary Dynamics -- Develop new tools to study coevolutionary systems that generate complex (including chaotic) dynamics (dynamical systems theory).
Emergence of Macro-scale Behaviors from Micro-scale structures -- (Multi-agent systems) simulation to study micro-scale conditions giving rise to macro-scale behaviors (evolution to cooperation) with nonlinear behavioral representation (neural networks).
Selected Publications