Michelle Blom, Peter J. Stuckey, and Vanessa J. Teague. Election Manipulation 100. Proceedings of the 4th Workshop on Advances in Secure Electronic Voting at Financial Cryptography and Data Security 2019 (VOTING-19). 2019. PDF
(in press) Michelle Blom, Peter J. Stuckey, and Vanessa J. Teague. Towards Computing Margins of Victory in STV Elections. INFORMS Journal on Computing (to appear). 2018
(in press) Michelle Blom, Slava Shekh, Don Gossink, Tim Miller, Adrian Pearce. Inventory Routing for Defence: Moving Supplies in Adversarial and Partially Observable Environments. Journal of Defense Modeling and Simulation (to appear). 2018.
Michelle Blom, Peter Stuckey, Vanessa Teague. Ballot-polling Risk Limiting Audits for IRV Elections. EVOTE-ID 2018. Full version, Conference version.
Michelle Blom, Peter Stuckey, Vanessa Teague. Computing the Margin of Victory in Preferential Parliamentary Elections. EVOTE-ID 2018. Conference version. Winner of Best Paper Award in the Track on Security, Usability and Technical Issues, and the Track on Administrative, Legal, Political and Social Issues.
(in press) Michelle Blom, Adrian Pearce, Peter Stuckey. Short-Term Planning for Open Pit Mines: A Review. Accepted for publication in the International Journal of Mining, Reclamation and Environment, 2018. Preprint, Link
(in press) Michelle Blom, Adrian Pearce, Peter Stuckey. Multi-Objective Short-Term Production Scheduling for Open-Pit Mines: A Hierarchical Decomposition-Based Algorithm. Accepted for publication in Engineering Optimization, To Appear, 2018. Online (Email me to request a copy)
Michelle Blom, Adrian Pearce, Peter Stuckey. Short-Term Scheduling of an Open-Pit Mine with Multiple Objectives. Engineering Optimization, 49(5):777-795, 2017 (available online, or email me to request a copy).
Andrew Conway, Michelle Blom, Rajeev Gore, Katya Lebedeva, Lee Naish and Vanessa Teague. An analysis of New South Wales electronic vote counting. ACSW 2017. (ArXiv version).
Slava Shekh, Michelle Blom. Decentralised Decision Making in Defence Logistics. Cognitive Partnerships Workshop at IJCAI 2017. PDF.
Michelle Blom, Peter J. Stuckey, and Vanessa Teague. Computing the Margin of Victory in Preferential Parliamentary Elections. ArXiv version. Later version accepted at EVOTE-ID 2018 (PDF).
Michelle Blom, Peter J. Stuckey, and Vanessa Teague. Towards Computing Victory Margins in STV Elections. ArXiv version. Later version published in INFORMS Journal on Computing.
Michelle Blom, Adrian Pearce, and Peter Stuckey. A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks over Multiple Time Periods. Management Science, 62(10):3059-3084, 2016. Preprint
Michelle Blom, Peter Stuckey, Vanessa Teague, Ron Tidhar. Efficient Computation of Exact IRV Margins. ECAI, 2016. PDF
Berj Chilingirian, Zara Perumal, Ronald L. Rivest, Grahame Bowland, Andrew Conway, Philip B. Stark, Michelle Blom, Chris Culnane, and Vanessa Teague. Auditing Australian Senate Ballots. ArXiv article. Link (accompanying article in The Register).
Pursuit article Paper audits crucial for automated counting by Vanessa Teague with Michelle Blom, Andrew Conway, Chris Culnane, Rajeev Goré, Robert Merkel, Ron Rivest, Philip Stark, and Damjan Vukcevic. 2016. Link
Andrew Conway, Michelle Blom, Rajeev Goré, Ekaterina Ledbedeva, Lee Naish, Vanessa Teague. Software can affect election results. ElectionWatch article, Technical Report, NSWEC media release
Michelle Blom, Adrian Pearce, Peter Stuckey. Short Term Scheduling in Open-Pit Mines with
Multiple Objectives. Poster at CP-15. PDF
Michelle Blom, Christina Burt, Adrian Pearce, and Peter Stuckey. A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines. Informs Journal on Computing, 26(4):658-676, 2014. PDF Supplementary
Michelle Blom. Arguments and Actions: Decoupling Preference and Planning through Argumentation. PhD Thesis, University of Melbourne, 2011. PDF
Michelle Blom, and Adrian Pearce. Relaxed Regression for a Heuristic
GOLOG. STAIRS, 2010. PDF
Michelle Blom and Adrian Pearce. An Argumentation-Based
Interpreter for Golog Programs. IJCAI, 2009. PDF
Michelle Blom. An Argumentative Knowledge-Based Model Construction Approach
for Bayesian Networks. EUMAS, pages 549-563, 2008. PDF
Michelle Blom. Optimising the Interpretation of Golog Programs with
Argumentation. EUMAS, pages 597-611, 2008. PDF