About Me
I am a professor in artificial intelligence at School of Computing Technologies, RMIT University, Melbourne, Australia. I received my Ph.D. degree in artificial intelligence from University of Otago, Dunedin, New Zealand. My research interests include machine learning, evolutionary computation, multiobjective optimization, multimodal optimization (niching), swarm intelligence, data mining/analytics, deep learning, journey planning, math-heuristic methods for optimization. I am an Associate Editor of IEEE Transactions on Evolutionary Computation, the journal of Swarm Intelligence, and International Journal of Swarm Intelligence Research. I am the group leader of ECML (Evolutionary Computation and Machine Learning) research group. I am an IEEE Fellow. I am also currently a member of ARC (Australian Research Council) College of Experts (2023 - 2025). Here it is my CV.
News: Call for Papers for a Special Issue on "Large Scale Optimization and Learning", to be published in September 2024, by ACM Transactions on Evolutionary Learning and Optimization (TELO).
Research Awards
- Recipient of 2013 ACM SIGEVO Impact Award. A list of past recipients.
- Awarded 2017 IEEE CIS "IEEE Transactions on Evolutionary Computation Outstanding Paper Award".
- Winner of IEEE CEC'2019 Large-Scale Global Optimization (LSGO) competition, Wellington, New Zealand, 11 June 2019 (see the RDG3 algorithm winning the competition).
- IEEE Fellow (from 2020), "for contributions to large-scale and particle swarm optimization". See IEEE Fellow Class of 2020.
Citation Stats: Google Scholar; ORCID; Scopus.
Research Interests
- Artificial Intelligence; Neural Networks; Support Vector Machines; Deep Learning;
- Lagre Scale Optimization; Constrained Optimization; Bilevel Optimization
- Combinatorial Optimization; Operations Research
- Explainable AI; Feature Learning
- Evolutionary Algorithms; Genetic Programming; Evolutionary Multiobjective Optimization
- Evolutionary Algorithms for Dynamic Optimization Problems; Evolutionary Multimodal Optimization (Niching methods)
- Artificial Life; Complex Systems; Multi-agent Simulation; Intelligent Agents
- Swarm intelligence; Particle Swarm; Ant Colony Algorithms; Differential Evolution; Memetic Algorithms
- Game Theory; Prisoner's Dilemma
- Estimation of Distribution Algorithms (EDAs); Bayesian Optimization
- Reinforcement Learning; Kalman Filter
- Data Mining; Big Data Analytics
Competitive National Research Grants
- CSIRO Next Generation Artificial Intelligence Program 2022,"All System analysis - analytics and intelligent automation", $1,073K, 2022 - 2025.
- ARC Linkage Grant (LP190100991), "Machine learning techniques for fuel loss detection at service stations", $315K, 2020 - 2022.
- ARC Discovery Grant (DP190101271), "A novel and efficient approach for optimisation involving iterative solvers”, $360K, 2019 - 2021.
- ARC Discovery Grant (DP180101170), "Hybrid methods with decomposition for large scale optimization", $352K, 2018 - 2020.
- ARC Discovery Grant (DP120102205), "Novel decomposition methods for large scale optimization", $317K, 2012 - 2014.
- ARC Linkage Grant (LP120200305), "An integrated and real-time passenger travel and public transport service information system", $510K, 2012 - 2015.
- ARC Linkage Grant (LP130100743), "Enhancing the Australian theme park experience by harnessing virtual-physical play", $300K, 2013 - 2016.
- ARC Linkage Grant (LP130100236), "Developing an integrated optimisation platform for innovative design of composite fabrication process", $205K, 2013 - 2016.
Teaching
- COSC2673/2793 Machine Learning (2018, 2022)
- COSC2110/2111 Data Mining (2020 - 2022)
- COSC2148/2149 Research Methods (2013 - 2016, 2020)
- COSC1283/1284 Programming Techniques (2007 - 2017)
- Introduction to Programming (2010)
- COSC1125/1126/1127 Artificial Intelligence (2001 - 2005, 2014, 2019)
- COSC1165/1167 Intelligent Web Systems (2006 - 2007)
- COSC2269/2270 Artificial Intelligence Tools and Applications (2005 - 2006)
- COSC1207/2033 Evolutionary Computing (2002 - present)