Babbar-Sebens, M., R.C. Barr, L.P. Tedesco, and M. Anderson, “Spatial identification and optimization of upland wetlands in agricultural watersheds,” Ecological Engineering, Volume 52, Pages 130-142, 2013.

Piemonti, A.D., M. Babbar-Sebens, and E.J. Luzar, “Effect of land tenure and stakeholders attitudes on optimization of conservation practices in agricultural watersheds,” American Geophysical Union (AGU) Fall Meeting, San Francisco, California, December 3-7, 2012.

Samuels, A., and M. Babbar-Sebens, “Field Scale Optimization for Long–Term Sustainability of Best Management Practices in Watersheds,” American Geophysical Union (AGU) Fall Meeting, San Francisco, California, December 3-7, 2012.

Singh, Vidya Bhushan; Mukhopadhyay, Snehasis; Babbar-Sebens, Meghna, ”Decentralized pursuit learning automata in batch mode,” Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on , vol., no., pp.1567,1572, 20-24 Nov. 2012.

Piemonti, A.D., M. Babbar-Sebens, E.J. Luzar, “Effect of social attitudes on the spatial optimization of distributed best management practices to improve upland runoff storage in Eagle Creek watershed, IN,” American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute ‘s (EWRI) World Environmental & Water Resources Congress in Albuquerque, NM, May 20-24, 2012.

Piemonti, A.D., M. Babbar-Sebens, E.J. Luzar, “A socioeconomic framework for incorporating stakeholder preferences in the optimization of distributed best management practices,” XIX International Conference on Computational Methods in Water Resources, Urbana-Champaign, IL, June 17 – 21, 2012.

Tilak, O., M. Babbar-Sebens, and S. Mukhopadhyay,”Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds,” Proceedings of the IEEE Systems, Man, and Cybernetics (SMC) Conference, 2011.

Tilak, O., R. Martin, and S. Mukhopadhyay. Decentralized Indirect Methods for Learning Automata Games. (Accepted and In Press), IEEE Transactions on Systems, Man, and Cybernetics, 2011 (doi: 10.1109/TSMCB.2011.2118749).

Tilak, O. and S. Mukhopadhyay. Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems. Proceedings of the 9th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 389-394, December 12-14, Washington D.C, 2010. (doi: 10.1109/ICMLA.2010.64)


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We provide web-based tools for visualizing watershed and designing land use and runoff management alternatives on the landscape.