| 2026 | ICST | Explainable Validation and Feature Reduction in Machine Learning. | Fenrir Badorf, Francis Durso, Callie Walker, Megan M. Olsen, M. S. Raunak, D. Richard Kuhn |
| 2025 | ICST | A Combinatorial Approach to Reduce Machine Learning Dataset Size. | Megan M. Olsen, M. S. Raunak, D. Richard Kuhn, Hans Van Lierop, Fenrir Badorf, Francis Durso |
| 2023 | ICCS | Predicting ABM Results with Covering Arrays and Random Forests. | Megan M. Olsen, M. S. Raunak, D. Richard Kuhn |
| 2014 | WSC | Quantifying validation of discrete event simulation models. | M. S. Raunak, Megan M. Olsen |
| 2013 | ICCS | Multiscale Agent-based Model of Tumor Angiogenesis. | Megan M. Olsen, Hava T. Siegelmann |
| 2013 | ICCS | Multiscale Agent-based Model of Tumor Angiogenesis. | Megan M. Olsen, Hava T. Siegelmann |
| 2013 | WSC | A framework for simulation validation coverage. | Megan M. Olsen, M. S. Raunak |
| 2011 | IJCNN | Communicated somatic markers benefit both the individual and the species. | Kyle Ira Harrington, Megan M. Olsen, Hava T. Siegelmann |
| 2010 | AAAI | Multi-Agent Fault Tolerance Inspired by a Computational Analysis of Cancer. | Megan M. Olsen |
| 2007 | IJCAI | Multi-Agent System that Attains Longevity via Death. | Megan M. Olsen, Hava T. Siegelmann |