Xiaodong Li
PhD, Professor, IEEE Fellow
- Prof. Xin Yao (University of Birmingham, UK)
- Prof. Kalyanmoy Deb (Michigan State University, USA)
- Prof. Zbigniew Michalewicz (University of Adelaide)
- Prof. Juergen Branke (Warwick Business School The University of Warwick, UK)
- Prof. Xinghuo Yu (RMIT Electrical Engineering)
- Prof. Andreas Ernst (Monash University, Clayton)
- Prof. David Green (Monash University, Clayton)
- Prof. Hussein A. Abbass(ADFA, Canberra)
- Prof. Tapabrata Ray (ADFA, Canberra)
- Prof. Martin Purvis (Otago University, NZ)
- Associate Prof. Vic Ciesielski (RMIT Computer Science)
- Prof. Ke Tang (University of Science and Technology, China)
- Prof. Michael Kirley (Melbourne University)
- Dr. Tim Blackwell (Computing at Goldsmiths College, University of London)
- Dr. Jani Ronkkonen (Lappeenranta University of Technology, Finland)
- Prof. Jiyuan Tu (RMIT SAMME)
- Prof. Yuping Wang (Xidian University, China)
- Prof. Kai Qin (Swinburne Univesity of Technology)
- Dr. Yi Mei (Victoria University of Wellington, NZ)
- Prof. Yutao Qi (Xidian University, China)
- Dr. Michael Epitropakis (Lancaster University, UK)
- Dr. Mohammad Nabi Omidvar (University of Birmingham, UK)
- Dr. Yuan Sun (La Trobe University, Australia)
- Dr. Angus Kenny (ADFA, Canberra)
Current Research Supervision
Umair Naeem (PhD candidate, 2024) - Defect detection for solar panels (I am the second supervisor)
Manizheh Ranjbar (PhD candidate, 2023) - Graphic Neural Networks for Link Prediction (I am the second supervisor)
Duy Huynh (PhD candidate, 2023) - Malicious contract detection using machine learning (I am the second supervisor)
Hongjie Xu (PhD candidate, 2023) - Machine Learning for large-scale combinatorial optimization (I am the first supervisor)
Phuong Duy Huynh (PhD candidate, 2022) - AI and Blockchain using Machine Learning techniques (I am the second supervisor)
Ruimin Chu (PhD candidate, 2021) - Data mining for anomaly detection (I am the first supervisor)
Bernardo Coelho (PhD candidate, 2018) - Reinforcement learning for UAV simulated flight stability and adaptive manoeuvring (I am the 2nd supervisor)
- Yunzhuang Shen (PhD completed, 2023) - Machine learning techniques for enhancing combinatorial optimization (I am the first supervisor)
- Kendall Taylor (PhD completed, 2023) - Preference modeling in interactive multiobjective evolutionary optimization (I am the 2nd supervisor)
- Jake Weiner (PhD completed, 2023) - Large-scale optimization using hybrid methods (I am the first supervisor)
- Servet Kocak (Master completed, 2023) - Fuel loss detection using machine Learning technques (I am the first supervisor)
- Simon Demediuk (PhD completed, 2022) - Player modeling and problem difficulty evaluation in games (I am the 1st supervisor)
- Angus Kenny (PhD completed, 2020) - Problem decomposition and reduction methods for large-scale combinatorial problems (I am the first supervisor)
- Behrooz Ghasemishabankareh (PhD completed, 2020) - Network flow problems using hybrid techniques (I am the first supervisor)
- Borhan Kazimipour (PhD completed, 2019) - Smart computational resource allocation in large scale global optimization (I am the 1st supervisor)
- Mohammad Haqqani (PhD candidate, 2019) - Journey planning for public transportation networks (I am the 1st supervisor)
- Nan Li (PhD completed, 2019) - Optimization methods for composite fabrication process (I am the 2nd supervisor)
- Md. Jakirul Islam (PhD completed, 2018) - Structural topological optimization using evolutionary techniques (I am the 1st supervisor)
- Asad Mohammadi (PhD completed, 2018) - Novel techniques for handling many objective optimization problems (I am the 1st supervisor)
- Marco Tamassia (PhD completed, 2017) - Enhancing the Australian theme park experience by harnessing virtual-physical play (I am the 2nd supervisor)
- Jing Xie (PhD completed in 2017) - Warehouse layout optimization (I am the 2nd supervisor)
- Mohammad Nabi Omidvar (PhD completed in 2016) - Cooperative Coevolution for Large Scale Optimization (I was the 1st supervisor)
- Iman Amini (PhD completed in 2016) - Text mining on medical clinical records (I am the 2nd supervisor)
- Mohammad Reza Bonyadi (PhD (University of Adelaide), completed in 2015) - Constrained Optimization Using Particle Swarms (I was the 2nd supervisor)
- William Raffe (PhD completed in 2014) - Comprehensive Video Game Map Generation through Evolutionary Algorithms (I am the 2nd supervisor)
- Robert Carrese (PhD completed in 2012) - Integrating User-Preference PSO and Kriging Metamodeling for Airfoil Design (I am the 2nd supervisor)
- Sean Dawson (Honours, 2012) - Journey Planning using Evolutionary Multiobjective Optimization (I'm the 1st supervisor)
- Geoffrey Lee (Honours, 2012) - Reinforcement Learning for Games (I'm the 2nd supervisor)
- Zhaolin Zhai (Master student, 2010) - Multimodal Optimization Using Particle Swarms (I am the 1st supervisor)
- Emil B. Kjer (Master student, 2011) - Passenger journey planner optimization using an evolutionary algorithm (I am the 1st supervisor)
- Asad Mohammadi (Master student, 2011) - Evolutionary Many-objective Optimization (I am the 1st supervisor)
- Upali K Wickramasinghe (PhD candidate, completed) - Integrating User Preference information into a Multiobjective Particle Swarm Optimizer (I'm the 1st supervisor)
- Lachlan Gregor (Minor thesis, 2010) - Support Vector Machine for Time Series Predictions
- Mohammad Nabi Omidvar (Honours student) - Cooperative Coevolution for Large Scale Optimization (I am the 1st supervisor)
- Stefan Bird (PhD, 2008, completed) - Optimization in Dynamic Environments (1st supervisor)
- Antony William Iorio (PhD, 2008, completed) - Handling parameter interactions in multiobjective optimization (1st supervisor)
- Xiang Li (PhD, 2007, completed) - Genetic Programming and its applications (2nd supervisor)
- Lily Li (PhD, 2009, completed) - Constraint handling using Particle Swarm Optimization (I'm the 2nd supervisor)
- Clemens Gersbacher (Master, completed) - Improving Binary PSOs for knapsack problems
- Richard Allmendinger (Master, 2008, completed) - Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach
- Martin Jane (Master, 2008, completed) - Evolutionary Algorithms and Multi-Objectivization for the Travelling Salesman Problem
- Jia Liang He (Master, 2006, completed) - An adaptive Particle Swarm Optimizer (1st supervisor)
- Gayan Wijesinghe (Honours, 2005) - Particle Swarm Optimization for image classification
- Alex Holkner (Honours, 2006) - Evolutionary Multiobjective Optimization for document layout (1st supervisor)
- Daniel Parrott (Contracted programmer) - Particle Swarm with speciation for tracking multiple peaks in a dynamic environment
- Yaniv Bernstein - Research project on multiobjective optimization applied to Genetic Programming for image classification
- Anton Davis (PhD candidate, 2004) - Novel Genetic Programming techniques (2nd supervisor)
- Jonathon Vincent (3rd year research project, 2003) - Neuro-evolutiontechniques to solve the predator-prey pursuit problems
- Thomas Phillip Loveard (PhD completed in 2003) - Genetic Programming Methods for Classification Problems (second supervisor)
- Antony William Iorio (Master thesis, completed, 2002) - Parameter control within a cooperative coevolutionary genetic algorithm
- Yaniv Bernstein (Honours thesis, completed, 2002) - An investigation of applying self-organized criticality to evolutionary algorithms
- Tom Gamble (3rd year research project, 2002) - Effects of spatial structure on the dominance of popular strategies in an iterated prisoner's dilemma (IPD)
- Amit Kumar Shreewastav (3rd year research project, 2002) - Self-adaptive parameter control in a fine-grained parallel genetic algorithm
- Elizabeth Ash (Honours thesis, Charles Sturt, 1998) - Modelling Watertable Fluctuations in Acid Sulphate Soils, Tweed Heads Using Artificial Neural Networks
- William Magill (Honours thesis, Monash, 2000) - Modelling Fire Behaviours under Environmental Influences Using a Cellular Automaton Approach
- I was also a second supervisor for two Ph.D. students at Charles Sturt and Monash Universities.
