My primary research field is Computational Intelligence which studies biologically and linguistically motivated computational paradigms and approaches to solve complex real-world problems to which traditional methods are ineffective or infeasible. It is a subfield of AI, consisting of three pillars, i.e., Neural Networks, Evolutionary Computation and Fuzzy Systems. Notably, Neural Networks are the scaffold of Deep Learning which is a subfield of Machine Learning and the mainstay of modern AI techniques, driving the reviving and booming of AI in recent years.
My major research interests include Machine Learning, Neural Networks, Evolutionary Computation, Computer Vision, Remote Sensing, Services Computing and Edge Intelligence. Particularly, I am interested in Collaborative Learning and Optimization (COLO) which studies on synergising machine learning and intelligent optimisation techniques while leveraging unprecedented computing power to solve challenging problems that involve learning and/or optimisation tasks.