Mahoney A. W., Smith B. G., Flann N. S., and Podgorski G. J., (2008). Discovering Novel Cancer Therapies: A Computational Modeling and Search Approach In In IEEE conference on Computational Intelligence in Bioinformatics and Bioengineering, 2008

Flann N. S., Mahoney A. W., Smith B. G. and Podgorski G. J., (2008). Evaluating Cancer Interventions by Simulating Tumor-Induced Angiogenesis, Blood Flow and Oxygen Delivery In In European Conference on Mathematical and Theoretical Biology, 2008

Podgorski, G., Bansal, M. Flann, N, (2007).Regular Mosaic Pattern Formation: A Study of the Interplay between Lateral Inhibition, Apoptosis, and Differential AdhesionIn Journal of Theoretical Biology and Medical Modelling, 2007, Volume 4:43

Winward G. and Flann N. S. (2007). Coordination of Multiple Vehicles for Area Coverage Tasks In IEEE/RSJ 2007 International Conference on Intelligent Robotics and Systems (IROS 2007).

Dhanasekaran R. A., Podgorski G. J. and Flann N. S. (2007). Co-option and Irreducibility in Regulatory Networks for Cellular Pattern Development In Proceedings of the 2007 IEEE Symposium on Artificial Life (CI-ALife 2007).

Kim, Y., Flann, N., Wei, Q., Ko, Y. & Alla, S. (2006). MathGirls: Motivating Girls to Learn Math through Pedagogical Agents. In P. Kommers & G. Richards (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006 (pp. 2025-2032). Chesapeake, VA: AACE.

Flann N. S., Hu J., Bansal M., Patel V. and Podgorski G. (2005). Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks, Eighth European Conference on Artificial Life, Canterbury, Kent, UK, September 2005

Sasaki Y., Flann N. S., and Box P.W. (2005). The Multi-agent games by Reinforcement Learning Applied to on-line Optimization of Traffic Policy. In Computational Economics: A Perspective from Computational Intelligence, Morgan Kaufmann Publishers, Chen S. H. (Ed).

Lewis P. J., Flann N. S., Torrie M. R., Poulson E. A., Petroff T. (2005). Chaos an Intelligent Ultra-Mobile SUGV: Combining the Mobility of Wheels, Tracks, and Legs. SPIE Conference on Unmanned Ground Vehicle Technology VI , Defense and Security Symposium. , Orlando, FL, April 2005.

Dietterich T. G. and Flann N. S. (1997). Explanation-based Learning and Reinforcement Learning: A Unified View. Machine Learning, 28, 169-210.

Hooper D. and Flann N. S. Improving the Accuracy and Robustness of Genetic Programming through Expression Simplification. In John R. Koza et al., editors, Genetic Programming 1996: Proceedings of the First Annual Conference, page 428, Stanford University, CA, USA, 1996. MIT Press.