AI Seminar Series


A picture of me.
Contact Details
Dr. Michelle Blom
Research Fellow
Department of Computing and Information Systems
University of Melbourne, Australia
Office: 6.14, Doug McDonnell Building (Bld 168), University of Melbourne, Parkville campus
Email: michelle DOT blom AT unimelb DOT edu DOT au
Publications, Technical Reports, Articles

2017

Michelle Blom, Peter J. Stuckey, and Vanessa Teague. Computing the Margin of Victory in Preferential Parliamentary Elections. ArXiv version.

Michelle Blom, Peter J. Stuckey, and Vanessa Teague. Towards Computing Victory Margins in STV Elections. ArXiv version.

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).

2016

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

Michelle Blom, Adrian Pearce, Peter Stuckey. Short-Term Scheduling of an Open-Pit Mine with Multiple Objectives. Engineering Optimization, 2016 (available online).

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, Peter Stuckey, Vanessa Teague, Ron Tidhar. Efficient Computation of Exact IRV Margins. ECAI, 2016. PDF

2015

Michelle Blom, Adrian Pearce, Peter Stuckey. Short Term Scheduling in Open-Pit Mines with Multiple Objectives. Poster at CP-15. PDF

Michelle Blom, Peter Stuckey, Vanessa Teague, Ron Tidhar. Efficient Computation of Exact IRV Margins. ARXIV, 2015. PDF

Michelle Blom, Adrian Pearce, and Peter Stuckey. A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks over Multiple Time Periods. Management Science, 2015. Preprint

2014

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,2014. PDF Supplementary

2011

Michelle Blom. Arguments and Actions: Decoupling Preference and Planning through Argumentation. PhD Thesis, University of Melbourne, 2011. PDF

2010

Michelle Blom, and Adrian Pearce. Relaxed Regression for a Heuristic GOLOG. STAIRS, 2010. PDF

2009

Michelle Blom and Adrian Pearce. An Argumentation-Based Interpreter for Golog Programs. IJCAI, 2009. PDF

2008

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