| 2017 | CIBCB | Optimizing bioengineered vascular systems: A genetic algorithm approach. | Sima Mehri, Curtis Larsen, Gregory J. Podgorski, Nicholas S. Flann |
| 2015 | CIBCB | Bridging the multiscale gap: Identifying cellular parameters from multicellular data. | Qanita Bani Baker, Gregory J. Podgorski, Christopher D. Johnson, Elizabeth Vargis, Nicholas S. Flann |
| 2012 | CIBCB | Searching a multicellular model to tame tumor-induced angiogenesis. | Gregory J. Podgorski, Nicholas S. Flann |
| 2011 | CEC | Sorting unsigned permutations by reversals using multi-objective evolutionary algorithms with variable size individuals. | Ahmadreza Ghaffarizadeh, Kamilia Ahmadi, Nicholas S. Flann |
| 2008 | CIBCB | Discovering novel cancer therapies: A computational modeling and search approach. | Arthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski |
| 2007 | IROS | Coordination of multiple vehicles for area coverage tasks. | Garrett Dean Winward, Nicholas S. Flann |
| 1997 | ICRA | Optimal route re-planning for mobile robots: a massively parallel incremental A* algorithm. | Tao Ma, Amr Elssamadisy, Nicholas S. Flann, Ben Abbott |
| 1996 | ICPP | A Massively Parallel SIMD Algorithm for Combinatorial Optimization. | Ranjit A. Henry, Nicholas S. Flann, Daniel W. Watson |
| 1995 | ICML | Explanation-Based Learning and Reinforcement Learning: A Unified View. | Thomas G. Dietterich, Nicholas S. Flann |
| 1994 | PPSN | Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. | Hao Chen, Nicholas S. Flann |
| 1990 | ICML | Applying Abstraction and Simplification to Learn in Intractable Domains. | Nicholas S. Flann |
| 1989 | ICML | Learning Appropriate Abstractions for Planning in Formation Problems. | Nicholas S. Flann |
| 1988 | AAAI | An Efficient ATMS for Equivalence Relations. | Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich |
| 1987 | AAAI | Forward Chaining Logic Programming with the ATMS. | Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon |
| 1986 | AAAI | Selecting Appropriate Representations for Learning from Examples. | Nicholas S. Flann, Thomas G. Dietterich |