Dr Michelle Blom

  • Room: Level: 06 Room: 14
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • AI Algorithms
  • Algorithms for Electoral Analysis
  • Optimisation for Supply Chains

Personal webpage



Dr Michelle Blom is a Research Fellow in the Department of Computing and Information Systems at The University of Melbourne. Michelle completed her PhD in the Department of Computer Science and Software Engineering at the University of Melbourne in 2011. Her thesis explored the use of argumentation-based approaches for automated decision-making and planning. Michelle is a currently a research fellow at the University of Melbourne, working on an ARC Linkage Project with Rio Tinto Iron Ore. Her research involves developing new algorithms and heuristics for scheduling operations in large open-pit mining supply chains.

Recent publications

  1. Blom M, Pearce A, Stuckey P. Multi-objective short-term production scheduling for open-pit mines: a hierarchical decomposition-based algorithm. Engineering Optimization. 2018. DOI: 10.1080/0305215X.2018.1429601
  2. Blom M, Pearce A, Stuckey P. Short-term planning for open pit mines: a review. International Journal of Mining, Reclamation and Environment. Taylor & Francis. 2018. DOI: 10.1080/17480930.2018.1448248
  3. Conway A, Blom M, Naish L, Teague V. An analysis of New South Wales electronic vote counting. ACM International Conference Proceeding Series. 2017, Vol. Part F126226. DOI: 10.1145/3014812.3014837
  4. Blom M, Pearce A, Stuckey P. Short-term scheduling of an open-pit mine with multiple objectives. ENGINEERING OPTIMIZATION. Taylor & Francis Ltd. 2017, Vol. 49, Issue 5. DOI: 10.1080/0305215X.2016.1218002
  5. Blom M, Pearce A, Stuckey P. A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks Over Multiple Time Periods. MANAGEMENT SCIENCE. Institute for Operations Research and the Management Sciences. 2016, Vol. 62, Issue 10. DOI: 10.1287/mnsc.2015.2284
  6. Blom M, Teague V, Stuckey P, Tidhar R. Efficient Computation of Exact IRV Margins. 22nd European Conference on Artificial Intelligence (ECAI). IOS Press. 2016, Vol. 285. Editors: Kaminka GA, Fox M, Bouquet P, Hullermeier E, Dignum V, Dignum F, Vanharmelen F. DOI: 10.3233/978-1-61499-672-9-480
  7. Blom M, Burt C, Pearce A, Stuckey P. A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines. INFORMS Journal on Computing. INFORMS Applied Probability Society. 2014, Vol. 26, Issue 4. DOI: 10.1287/ijoc.2013.0590
  8. Blom M, Pearce A. Relaxing regression for a heuristic GOLOG. Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the 5th Starting AI Researchers' Symposium. IOS Press. 2010.
  9. Blom M, Pearce A. An Argumentation-Based Interpreter for Golog Programs. 21st International Joint Conference on Artificial Intelligence (IJCAI-09). IJCAI Incorporated. 2009.