S. Kumar and R. Talchabhadel, IN42A-01Using PlanetScope Data for BMP Identification and Assessment. AGU Fall meeting, Chicago 15 December 2022
Talchabhadel, R., S. Kumar., E. Rhodes, S. Playmate, and E Racine, GC36B-02- A Bayesian belief Network (BN) approach to explore the nexus between land cover changes, socioeconomic factors, and hydroclimate. 2022 AGU Fall meeting, Chicago 14 December 2022
Johnson A., S. Kumar, P. Aron, I. Uribe, S. Palmate, and W Weiss, H35G-04 An Exploration of Nutrient Management Case Studies to Assess the Impacts of BMPs 2022. AGU Fall meeting, Chicago 14 December 2022
Palmate, S., S. Kumar, R. Talchabhadel, and E. Mokari. A system dynamic approach for managing transboundary water systems. 2022 iEMSs Biennial Meeting, Brussels, 4th – 8th of July
Palmate, S., and S. Kumar. Wetland likelihood mapping of transboundary Himalaya using maximum entropy. ASCE-EWRI Water Congress, Atlanta June 5-8, 2022
Talchabhadel, R., P. Pradhan, K. Dahal, E. Rhodes, and S. Kumar. The effects of warming temperatures, groundwater decline, and altered precipitation on crop productivity across the Ogallala Aquifer in Texas. ASCE-EWRI Water Congress, Atlanta June 5-8, 2022
Talchabhadel, R., Sharma, S., and Kumar, S.: Understanding multiscale drivers of natural hazards, cascading failures, and risk management strategies within a multisector system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3029, https://doi.org/10.5194/egusphere-egu22-3029, 2022
Kumar, S., R. Talchabhadel, and D. Cheu. BMP-Net: Deep-learning models to identify BMPs. AGU Fall Meeting 2021, New Orleans, LA, USA. 13–17 December 2021. https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/869490
Talchabhadel, Rocky, Kshitij Dahal, and Saurav Kumar. Spatial downscaling of coarse resolution satellite-based precipitation estimates (SPEs) to 1 km using Machine Learning In The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, 13–17 September 2021.
Majsztrik, J., S. Kumar, B. Pitton, L. Oki, D. Hitchcock, D. Sample, and S. White. Tools for growers to efficiently manage water for specialty crop production. American Society for Horticultural Sciences Annual Conference. Las Vegas, NV, USA. July 21-25 2019
Kobayashi Y., and S. Kumar. Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time. World Environment and Water Resources Congress, Pittsburgh, PA. May 19-23 2019
Atwah, W., Jahan N, and S. Kumar. A comparison between four different regression based fluvial load estimation methods with an extensive sampling based direct load estimation method. World Environment and Water Resources Congress, Pittsburgh, PA. May 19-23 2019
Kumar, S., A. Godrej, J. Little, and H. Post. Next steps in reservoir monitoring and modeling: Connectivity and actionable visualizations. IWA Symposium on Lake and Reservoir Management (IWA L&RM 2015) August 4-7, 2015: Pembroke, VA
Kobayashi, Y., S. Kumar, W. Atwah, A. Ellerson, G. Ganjegunte. Model to Improve Decision Making for Farms Dealing with Salinity in the South-West Region. 9th International Congress on Environmental Modelling and Software, June 25-28, 2018, Fort Collins, CO.
Kumar, S. TRS Tool – Using Data Mining and Natural Language Processing to Assess the State of TMDL Development. 9th International Congress on Environmental Modelling and Software, June 25-28, 2018, Fort Collins, CO
Kobayashi, Y., S. Kumar, W. Atwah, A. Ellerson, G. Ganjegunte. A Bayesian Network Based Model for Decision Making on a Farm Scale Impacted by Salinity. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN
Kumar, S., Atwah, W. State-of-Practice of Remote Sensing for Total Maximum Daily Load Modeling. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN
Atwah, W., S. Kumar, A. Ellerson, Y. Kobayashi. Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time. World Environmental and Water Resources Congress 2018, June 3-7, 2018: Minneapolis, MN
Kumar, S., N. Quinn, and S. Mubako. Innovations in use of GIS and remote sensing for TMDL analysis and modeling. World Environmental and Water Resources Congress 2017, May 21-25, 2017: Sacramento, CA
Kumar, S., G. Moglen, A. Godrej, T. Grizzard, H. Post, and M. Barandouzi. The Occoquan Watershed: trends from 40 years of observation during a time of changing land use and climate. The EWRI Watershed Management Symposium 2015, August 5-7, 2015: Reston, VA
Kumar, S. OccViz v2.0: A modern, interactive water quality and quantity data management and visualization platform. The 3rd CUAHSI Conference on Hydroinformatics, July 15-17, 2015: Tuscaloosa, AL
Kumar, S., A. Godrej, and T. Grizzard. A web-based water resources analysis portal for the Occoquan watershed. The 11th International Conference on Hydroinformatics, August 17 to 21, 2014: New York
Kumar, S., A. Godrej, and T. Grizzard. Extending the Occoquan reservoir water quality model for stakeholder involvement. Th 11th International Conference on Hydroinformatics, August 17 to 21, 2014: New York
Kumar, S., A. Godrej, and T. Grizzard. An extendable experiment with GIS and ICT to make environmental data and modeling user-friendly and accessible. The 7th International Congress on Environmental Modelling and Software (iEMSs), June 15-19, 2014: San Diego, California
Kumar, S., A. Godrej, and T. Grizzard. Using locally distributed computing to aid water quality modeling. The 7th International Congress on Environmental Modelling and Software (iEMSs), June 15-19, 2014: San Diego, California
Kumar, S., A. Godrej, and T. Grizzard. Making water resources data and modeling tools accessible to local stakeholders: An ongoing experiment in the Occoquan watershed. The 2013 CUAHSI Conference on Hydroinformatics and Modeling, July, 2013: Logan, UT
Kumar, S., A. Godrej, and T. Grizzard. Going from environmental-data to knowledge using GIS and modern web techniques. The National Capital Region Water Resources Symposium, April, 2013: Washington D.C.
Kumar, S., Z. Xing, and E.Y.M. Lo. Application of 3D hydrodynamic model coupled to an ecological model to the Kranji reservoir. Nanyang Technological University-Stanford University Symposium on the Environment 2005: Singapore