Books and Book Chapters

  1. Karthikeyan, R., and M. Babbar-Sebens, 2015 (in press), “Transport of Biochemical and Microorganisms,” Handbook of Applied Hydrology, Chapter 72, McGraw Hill.

Peer Reviewed Journal Publications

  1. Hill, D.J., and Babbar-Sebens, M. “The promise of UAV-assisted adaptive management of water resource systems,” Journal of Water Resources Planning and Management, DOI: 10.1061/(ASCE)WR.1943-5452.0001081, 2018.
  2. Giles, N.A., Babbar-Sebens, M., Srinivasan, R., Ficklin, D.L., Barnhart, B. “Optimization of Linear Stream Temperature Model Parameters in the Soil and Water Assessment Tool for the Continental United States.” Ecological Engineering, https://doi.org/10.1016/j.ecoleng.2018.11.012, 2018.
  3. Mustafa, M., Barnhart, B., Ficklin, D., Babbar-Sebens, M. “Modeling landscape change effects on stream temperature using the Soil and Water Assessment Tool.” Water, 10, 1143; doi:10.3390/w10091143, 2018. 
  4. Javaheri, A., Babbar-Sebens, M., Alexander, J., Bartholomew, J., and Hallett, S. “Global sensitivity analysis of water age and temperature for informing salmonid disease management.” Journal of Hydrology, Volume 561, Pages 89-97, 2018.
  5. Javaheri, A., Nabatian, M., Omranian, E., Babbar-Sebens, M., Noh, S. J. “Merging Real-Time Channel Sensor Networks with Continental-Scale Hydrologic Models: A Data Assimilation Approach for Improving Accuracy in Flood Depth Predictions,” Hydrology, 2018, 5(1), 9; doi:10.3390/hydrology5010009. 
  6. Rosenberg, D.E., M. Babbar-Sebens, E. Root, J. Herman, A. Mirchi, M. Giacomoni, J. Kasprzyk, K. Madani, D. Ford, L. Basdekas, “Towards More Integrated Formal Education and Practice in  Water Resources Systems Analysis,” Journal of Water Resources Planning and Management, Vol. 143, Issue 12, 2017. 
  7. Piemonti, A.D., Macuga, K.L., and M. Babbar-Sebens, “Usability evaluation of an interactive decision support system for user-guided design of scenarios of watershed conservation practices,” Journal of Hydroinformatics, Vol. 19, Issue 6, 2017. 
  8. Piemonti, A.D., M. Babbar-Sebens, S. Mukhopadhayay, and A. Kleinberg. “Interactive Genetic Algorithm for user-centered design of distributed conservation practices in a watershed: An examination of user preferences in Objective Space and user behavior” Water Resources Research, 53, doi:10.1002/2016WR019987, 2017.
  9. Javaheri, A., M. Babbar-Sebens, R.N. Miller, “From skin to bulk: An adjustment technique for assimilation of satellite-derived temperature observations in numerical models of small inland water bodies,” Advances in Water Resources, Volume 92, June, Pages 284-298, 2016. 
  10. Walters, K., and M. Babbar-Sebens, “Using Climate Change Scenarios to Evaluate Future Effectiveness of Potential Wetlands in Mitigating High Flows in a Midwestern U.S. Watershed,” Ecological Engineering, Volume 89, Pages 80–102, 2016. 
  11. Babbar-Sebens, M., S. Mukhopadhyay, V.B. Singh, and A.D. Piemonti, “A web-based software tool for participatory optimization of conservation practices in watersheds,” Environmental Modelling and Software, 2015, 10.1016/j.envsoft.2015.03.011.
  12. Javaheri, A., and M. Babbar-Sebens, “On comparison of peak flow reductions, flood inundation maps, and velocity maps in evaluating effects of restored wetlands on channel flooding,” Ecological Engineering, Volume 73, December 2014, Pages 132–145. 
  13. Babbar-Sebens, M., “An Engineer’s Perspective on Water Catchment Planning,” Farm Policy Journal, Vol. 10, No. 2, pp. 43-45, 2013, Winter, Surry Hills, Australia.
  14. Piemonti, A.D., M. Babbar-Sebens, E.J. Luzar, “Optimizing conservation practices in watersheds: Do community preferences matter?” Water Resources Research, Vol. 49, Issue 10, pp. 6425-6449, 2013, DOI: 10.1002/wrcr.20491. 
  15. Babbar-Sebens, M., L. Li, K. Song, and S. Xie, “On the use of Landsat-5 TM satellite for assimilating initial conditions of water temperature in 3D hydrodynamic model of small inland reservoir in Midwestern U.S.,” Advances in Remote Sensing, Vol. 2 No. 3, 2013, pp. 214-227. doi: 10.4236/ars.2013.23024. 
  16. Bruder, S., M. Babbar-Sebens, L.P. Tedesco, and E. Soyeux, “Use of fuzzy logic models for prediction of taste and odor compounds in algal-bloom affected inland water bodies,” Environmental Monitoring and Assessment, 2013. DOI 10.1007/s10661-013-3471-1. 
  17. 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.
  18. Gallege, L.S., A.J. Phadke, R.R. Raje and M. Babbar-Sebens, “Cloud Service Selection from Earth Science Domain,” International Journal of Computer Applications, 2012 ICRTITCS(3):32-37. Published by Foundation of Computer Science, New York, USA. 
  19. Gamble, A., and M. Babbar-Sebens, “On the use of multivariate statistical methods for combining in-stream monitoring data and spatial analysis to characterize water quality conditions in the White River basin, Indiana, U.S.A.,” Environmental Monitoring and Assessment, Volume 184, Number 2, Pages 845-875, 2012.
  20. Babbar-Sebens, M., and B.S. Minsker, “Interactive genetic algorithm with mixed initiative interaction for multi-criteria ground water monitoring design,” Applied Soft Computing, Volume 12, Issue 1, Pages 182-195, 2012.
  21. Babbar-Sebens, M., and B.S. Minsker, “Case-based micro interactive genetic algorithm (CBMIGA) for interactive learning: Methodology and application to groundwater monitoring design,” Environmental Modelling and Software, 25, pp. 1176-1187, 2010. 
  22. Puri, D., R. Karthikeyan, and M. Babbar-Sebens, “Predicting the fate and transport of E. coli in two Texas River Basins,” Journal of the American Water Resources Association,  Vol. 45, No. 4, pp. 928-944, 2009.
  23. Babbar-Sebens, M., and R. Karthikeyan, “Consideration of sample size for estimating contaminant load reductions using load duration curves,” Journal of Hydrology, Volume 372, Issues 1-4, Pages 118-123, 2009.
  24. Teague, A., R. Karthikeyan, M. Babbar-Sebens, R. Srinivasan, and R. Persyn, “Spatially Explicit Load Enrichment Calculation Tool to Identify E. coli Sources in Watersheds,” Transactions of ASABE, 52(4), pp. 1109-1120, 2009. 
  25. Babbar-Sebens, M., and B. S. Minsker, “Standard Interactive Genetic Algorithm (SIGA): A Comprehensive Optimization Framework for Long-Term Ground Water Monitoring Design,” J. of Water Resources Planning and Management, 134(6), pp. 538-547, 2008.
  26. Babbar, M., and B. S. Minsker, “Groundwater Remediation Design Using Multiscale Genetic Algorithms,” J. of Water Resources Planning and Management, 132(5), pp. 341-350, 2006. 

Peer Reviewed Conference Proceedings

  1. Hoblitzell, A., M. Babbar-Sebens, S. Mukhopadhyay, “Fuzzy and Deep Learning Approaches for User Modeling in Wetland Design,” In Proceedings of the IEEE Systems, Man, and Cy-bernetics (SMC) Conference, Oct 9-12, Budapest, Hungary, 2016
  2. Mukhopadhyay, S., V.B., Singh, A.D. Piemonti, and M. Babbar-Sebens, “User Modeling with Limited Data: Application to Stakeholder-driven Watershed Design,” Proceedings of the IEEE Systems, Man, and Cybernetics (SMC) Conference, Oct 5-8, San Diego, USA, 2014.   
  3. Singh, V.B., S. Mukhopadhyay, and M. Babbar-Sebens, “User Modeling for Interactive Optimization using Neural Network,” Proceedings of the IEEE Systems, Man, and Cybernetics (SMC) Conference, Oct 13-16, Manchester, UK, 2013.
  4. Singh, V.B., S. Mukhopadhyay, and M. Babbar-Sebens, “Decentralized Pursuit Learning Automata in Batch Mode,” Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems, Nov.20 - 24, Kobe, Japan, 2012.
  5. 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, Anchorage, Alaska, Oct 9-12, pp. 271-276, ISBN 978-1-4577-0652-3, 2011.
  6. Babbar-Sebens , M., and S. Mukhopadhyay, " Reinforcement Learning for Human- Machine Collaborative Optimization: Application in Ground Water Monitoring," Proceedings of the IEEE Systems, Man, and Cybernetics (SMC) Conference, pp. 3563 – 3568, 2009.
  7. Babbar, M., A. Lakshmikantha and D.E. Goldberg. “A Modified NSGA-II to Solve Noisy Multiobjective Problems,” in James Foster (editors), 2003 Proceedings of the Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 21--27, AAAI, Chicago, Illinois, USA, July 2003.
  8. Babbar, M., and B. S. Minsker. “A Multiscale Master-Slave Parallel Genetic Algorithm with Application to Groundwater Remediation Design”, W. L. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Shultz, J. F. Miller, E. Burke, and N. Jonoska, editors. 2002. Proceedings of the Genetic and Evolutionary Computation Conference,GECCO'2002. New York, Morgan Kaufmann Publishers, 2002.