Professor Xiaodong Li
Details
Department: School of Computing Technologies
Campus: City Campus Australia
xiaodong.li@rmit.edu.au
ORCID: 0000-0003-0346-1526
Open to
- Masters Research or PhD student supervision
About
Xiaodong Li is a professor in artificial intelligence at School of Computing Technologies, RMIT University, Melbourne, Australia. He is Assistant Associate Dean of the Data Science and Artificial Intelligence (DSAI) discipline, and Research Co-director for the RAIsE Hub (RMIT Artificial Intelligence Advanced Innovation Experience Hub). He received his Ph.D. degree in artificial intelligence from University of Otago, Dunedin, New Zealand. His research interests include machine learning, evolutionary computation, multiobjective optimization, multimodal optimization (niching), swarm intelligence, data mining/analytics, deep learning, math-heuristic methods for optimization, and large language models for optimization. He was an Associate Editor of the IEEE Transactions on Evolutionary Computation, Swarm Intelligence (Springer), and International Journal of Swarm Intelligence Research. He is a founding member of IEEE CIS Task Force on Swarm Intelligence, a former vice-chair of IEEE Task Force on Multi-modal Optimization, and a former chair of IEEE CIS Task Force on Large Scale Global Optimization. He is the recipient of 2013 ACM SIGEVO Impact Award and 2017 IEEE CIS "IEEE Transactions on Evolutionary Computation Outstanding Paper Award". He is an IEEE Fellow. He is also a member of ARC (Australian Research Council) College of Experts (2023–2026).
Research fields
- 490304 Optimisation
- 4611 Machine learning
- 461103 Deep learning
- 490108 Operations research
- 460502 Data mining and knowledge discovery
- 460201 Artificial life and complex adaptive systems
- 4602 Artificial intelligence
UN sustainable development goals
- 11 Sustainable Cities and Communities
- 7 Affordable and Clean Energy
- 9 Industry, Innovation and Infrastructure
Academic positions
- Assistant Associate Dean
- RMIT University
- Data Science and AI Discipline, School of Computing Technologies
- Melbourne, Australia
- 10 Apr 2025 – Present
- Research Co-Director
- RMIT University
- RAIsE Hub (RMIT Artificial Intelligence Advanced Innovation Experience Hub)
- Melbourne, Australia
- 10 Apr 2025 – Present
- Professor in AI
- RMIT University
- School of Computing Technologies
- Melbourne, Australia
- 1 Jan 2017 – Present
Supervisor projects
- Development of AI/ML Models for Behaviour Prediction and Design Optimization in Next-Generation Sustainable Urban Infrastructure
- 27 Mar 2026
- Zero-Shot Hierarchical Text Classification Using Large Language Models and Agentic Collaboration
- 24 Mar 2026
- Learning Individualized Constraint Penalties via Deep Learning for Solving combinatorial Optimization Problems
- 3 Feb 2026
- Real-time remote patient monitoring to support older Australians
- 18 Jun 2025
- Advancing Automated Code Generation Using LLMs and Evolutionary Computation for Complex Optimization Problems
- 28 May 2025
- Learning optimal control of games and machines in real-time
- 20 May 2025
- EmoG: Mixed Reality Empathy-Generative Agent to Express Emotion Among People with Communication Impairments
- 17 Apr 2025
- Optimising Delivery Logistics: Exploring Quantum AI-Driven Rerouting Strategies for Congestion Management of Multimodal Transport Systems
- 26 Feb 2025
- Knowledge-Infused Deep Graph Learning for Efficient Anomaly Detection
- 22 Aug 2024
- Explainable machine learning for electrification of everything
- 1 Aug 2024
- Enhancing Machine Learning Model Performance through Advanced Hyperparameter and Topology Optimization Techniques
- 18 Jan 2024
- AI-Assisted Monitoring and Inspection of Solar Photovoltaic Power Plants Using Aerial Imagery
- 1 May 2023
- spatial-temporal graph neural network (STGNN) for traffic demand forecasting
- 3 Jan 2023
- Meta-learning based Warm Start Hyperparameter Optimization
- 30 Nov 2022
- Developing Machine Learning and Data Mining Techniques for Fuel Loss Detection at Service Stations
- 31 Aug 2022
- Defending Ethereum and The Like from Crypto Scams
- 1 Jun 2022
- Development and Enhancement of Data-Driven Methods for Fuel Loss Detection Using Deep Learning
- 15 Jun 2021
- Preference Learning for Multi-objective Optimisation Problems
- 21 Apr 2020
- The challenges of Safety Critical Certification of Reinforcement Learning Agents
- 12 Sep 2019
- Enhancing Combinatorial Optimization through Solution Prediction Using Machine Learning
- 24 Jul 2019
- Automatically Solving Generic Mixed Integer Linear Programs by a Lagrangian Metaheuristic
- 16 Apr 2018
- An Artificial Intelligence Platform for Design Optimization and Data Analysis: Application for Fire and Ventilation Problems
- 23 Jul 2015
- Merge Search: A Hybrid Meta-heuristic forSolving Constrained Optimisation Problems
- 2 Mar 2015
- Meta-Heuristics for Better Constraint Handling and Minimum Cost Flow Problems
- 2 Mar 2015
- Personalised and Uncertainty-Aware Multi-Criteria Journey Planning in Urban Transportation Network
- 3 Mar 2014
- Topology optimization using evolutionary technique.
- 3 Mar 2014
- Dynamic Difficulty Adjustment for Skill Acquisition in Games
- 4 Mar 2013
- Integrating decomposition methods with user preferences for solving many-objective optimization problems
- 16 Jul 2012
- Towards a More Efficient Use of Computational Budget in Large-Scale Black-Box Optimization
- 16 Jul 2012
Teaching interests
- OENG1233 Doing Research for Engineering and Computing (2025 - present)
- COSC2673/2793 Machine Learning (2018, 2022)
- COSC2110/2111 Data Mining (2020 - 2024)
- 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)
Research interests
Artificial Intelligence, Machine Learning, Deep Learning, Combinaorial Optimization, Large-Scale Optimization, Multiobjective Optimization, Evolutionary Algorithms, Particle Swarm Optimization, Niching Methods, Math-heuristics, Swarm Intelligence, Machine Learning for Enhancing Optimization Techniques, Data Mining/Analytics, Large Language Models, LLM for Optimization, AI/Machine Learning/Deep Learning applied to Engineering and Healthcare problems.
