Please NoteThis person can no longer be contacted through the School of Engineering and Computer Science at Victoria University of Wellington
Su Nguyen received the B.E. degree in Industrial and Systems Engineering from the Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam, in 2006, the M.E. degree in Industrial Engineering and Management from the Asian Institute of Technology (AIT), Bangkok, Thailand, in 2008, and the Ph.D. degree in Evolutionary Computation from Victoria University of Wellington (VUW), Wellington, New Zealand, in 2013. Su Nguyen is currently the Posdoctoral Research Fellow in Evolutionary Computation Research Group (ECRG), VUW. Prior to VUW, he was a Research Associate in Industrial and Manufacturing Engineering at the School of Engineering and Technology, AIT. His primary research interests include evolutionary computation, discrete-event simulation and their applications in operations planning and scheduling.
- Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming". IEEE Transactions on Evolutionary Computation. 2013. (Accepted on 09/02/2013, published online on 24 April 2013).
- Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem". IEEE Transactions on Evolutionary Computation . (Accepted on 20/10/2012). DOI: 10.1109/TEVC.2012.2227326.
- Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Hybrid evolutionary computation methods for quay crane scheduling problems". (Journal of) Computers and Operations Research. Vol. 40, Issue. 8. 2013. pp. 2083-2093. DOI: dx.doi.org /10.1016/j.cor.2013.03.007.
- Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Learning Reusable Initial Populations for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". Proceedings of the 16th European Conference on Genetic Programming (EuroGP 2013). Lecture Notes in Computer Science. Vol. 7831. Vienna, Austria. 3-5 April 2013. pp. 157-168. (Nominated for the best paper award)