I am a Professor in the School of Computing and Information Systems and Co-Director of the Melbourne Centre for Data Science.
My primary research interests encapsulate artificial intelligence, machine learning techniques and game theory, with a strong focus on evolutionary computation. I have made a significant contribution to research focused on the design of data-driven algorithms for optimization and decision-making. Beyond established boundaries and discipline norms, my work bridges data science and social-psychological science to identify solutions to complex social-technological-ecological problems.
I am an Associate Editor for the leading journal IEEE Transactions on Evolutionary Computation.
Current funded projects
- IC200100009 (2021 - 2026). ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). There are 18 CIs across the University of Melbourne and Monash University.
- NDIS Grant GO4772 (2021 - 2023). Positive Behaviour Support: A collaborative approach to delivering best practice. CIs: McVilly, K., Fisher, A., Nankervis, K., Vassos, M., Kirley, M., Oliveira, E. and Robinson, S.
Previous ARC funded projects
- DP180101215 (2018 - 2021). A computational theory of strategic deception. CIs: Smith, W., Sonenberg, L. and Kirley, M. (PIs: Dignum, F. and Kuhn, G.)
- DP160102231 (2016 - 2019). Co-evolution of cooperation, mindreading, and morality. CIs: Kashima,Y., Kirley, M., Howes, P. and Laham, S.
- DP130100845 (2013 - 2016). Co-evolutionary dynamics of cultural and social structure. CIs: Kashima, Y., Robins, G. and Kirley, M.
- DP0664674 (2006 - 2009). Evolutionary algorithms for global grids. CI: Kirley, M.
- New paper to be published in IEEE Transactions on Evolutionary Computation An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
- Recent paper @ GECCO'22 Reproducibility and baseline reporting for dynamic multi-objective benchmark problems
- Google Scholar
- DBLP listing (Computer Science Bibliography)
- Recent arXiv papers: arXiv:2203.00868, arXiv:2203.0924, arXiv:2002.02636
PhD student supervision
- Hanan Alsouly (co-supervisor Dr Mario Andres Munoz Acosta)
- Helani Wickramaarachchilage (co-supervisor A/Prof Nic Geard)
- Craig Lewis (co-supervisors A/Prof Jen Overbeck, Prof Geoff Martin)
- Jalal Abdolahi (primary supervisor Dr Ellie Hajizadeh)
- Elle Pattenden (primary supervisor Prof Yoshi Kashima)
- Pengyuan Ding (primary supervisor Dr Ellie Hajizadeh)
- Yige Song (co-supervisor Dr Eduardo Oliveira)
- Dan Herring. (completed 2022). Dynamic Multi-objective Optimisation using Evolutionary Algorithms
- Yuan Sun. (completed 2018). Algorithm selection for continuous optimization problems.
- Camilo Cruz. (completed 2018). Evolving Pareto-optimal architectural form.
- Burkhard von der Osten. (completed 2017). Intelligent decision-making in coupled socio-ecological systems.
- Maryam Varmazyar. (completed 2014). Response measurement damage identification using Evolutionary Algorithms.
- Mario Andres Munoz Acosta. (completed 2013). Automatic selection of algorithms for continuous optimization problems.
- Mani Abedini. (completed 2013). Towards high-dimensional classification using genetic based machine learning.
- Jens Pfau. (completed 2013). Computational models of cultural dynamics.
- Raymond Chiong. (completed 2012). Promoting cooperation in multi-player evolutionary games.
- Golriz Rezaei. (completed 2011). Enhanced social learning via trust and reputation mechanism in multi-agent systems.
- Rob Moss. (completed 2008). A clockwork kidney: hierarchical dynamical networks to model emergent dynamics in the kidney.
- Md. Rafiul Hassan. (completed 2007). Hybrid HMM and soft computing modeling with applications to time series analysis.