Educational background Ph. D., Water Management and Hydrological Science Texas A&M University (2023) MS, Biological Systems Engineering Virginia Tech (2017) BE, Civil Engineering Birla Institute of Technology, Mesra, India (2013) CV/Resume

Research Interests

Soil physics, Scaling issues in hydrology, Remote sensing, Large-scale geospatial analysis

Current project

Root Zone Soil Hydraulic Property Estimation by SMAP
Funding Agency: NASA

Awards, scholarships, & fellowships

• (2022) Dissertation Fellowship, Graduate & Professional School, TAMU
• (2022) Data Science Ambassador Scholarship, Texas A&M Institute of Data Science
• (2022) Charles & Frances Fleming Scholarship, TAMU
• (2022) Class of 2017 Endowed Aggie Ring Scholarship, TAMU
• (2022) Kirkham Conference Travel Award, Soil Science Society of America
• (2021) Valeen Silvy Fellowship, Water Management & Hydrological Science Academic Program, TAMU
• (2019, 2020 & 2021) Graduate Student Competitive Scholarship: BAEN, TAMU
• (2020) Robert E Stewart Graduate Excellence Award: BAEN, TAMU
• (2017 & 2020) Water Management & Hydrological Science Academic Scholarship, TAMU
• (2019) BAEN GSA travel award for AGU fall meeting
• (2018 & 2019) WMHS Travel award for AGU Fall meeting
• (2018) First position at Student poster competition: Water Daze, TAMU
• (2018) Outstanding contribution in reviewing: Applied Soft Computing Journal, Elsevier
• (2017) Certificate of excellence in reviewing: Journal of Hydrology, Elsevier
• (2017) Paul E. Torgersen Graduate Student Research Excellence Award: Selected for the poster presentation.

Service and community engagement

• (2019-22) Student member: American Geophysical Union (AGU) Remote sensing technical committee
• Organizes annual workshops on Data analysis in R with a focus on Large-scale Geospatial analysis. Freely available course material can be accessed through: Part I- Data visualization in R   |   Part II- Large-scale geospatial analysis in R
• (2019-20) Travel Grant Chair: BAEN Graduate Student Association
• (2019) Student Volunteer: Honors and Awards Program of the American Geophysical Union Fall Meeting
• (2018-19) Professional Development Chair: Texas A&M Water Network
• Peer Reviewing: Routinely reviews papers for journals including Water Resources Research, Journal of Hydrology, Water Resources Management, Stochastic Environmental Research & Risk Assessment, Nonlinear processes in Geophysics, Journal of Water & Climate Change, Geosciences, Int’l Journal of Biometeorology. Link to Publons profile 

List of select publications:

1. Sehgal, V., Gaur, N., & Mohanty, B. P. (2021). Global Flash Drought Monitoring Using Surface Soil Moisture. Water Resources Research,. https://doi.org/10.1029/2020WR027588
2. Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588
3. Sehgal, V. and Sridhar, V., 2019. Watershed-scale retrospective drought analysis and seasonal forecasting using multi-layer, high-resolution simulated soil moisture for Southeastern US. Weather and Climate Extremes, p.100191.
4. Sehgal, V. and Sridhar, V., 2018. Effect of hydroclimatological teleconnections on the watershed-scale drought predictability in the southeastern United States. International Journal of Climatology, 38, pp.e1139-e1157.
5. Sehgal, V., Sridhar, V., Juran, L. and Ogejo, J., 2018. Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern US. Sustainability, 10(9), p.3079.
6. Sehgal, V., Lakhanpal, A., Maheswaran, R., Khosa, R. and Sridhar, V., 2018. Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling. Journal of Hydrology, 556, pp.1078-1095.
7. Sehgal, V., Sridhar, V. and Tyagi, A., 2017. Stratified drought analysis using a stochastic ensemble of simulated and in-situ soil moisture observations. Journal of Hydrology, 545, pp.226-250.
8. Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B. and Bernhofer, C., 2016. Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology, 538, pp.22-32.
9. Sehgal, V., Sahay, R.R. and Chatterjee, C., 2014. Effect of utilization of discrete wavelet components on flood forecasting performance of wavelet based ANFIS models. Water Resources Management, 28(6), pp.1733-1749.
10. Sehgal, V., Tiwari, M.K. and Chatterjee, C., 2014. Wavelet bootstrap multiple linear regression based hybrid modeling for daily river discharge forecasting. Water Resources Management, 28(10), pp.2793-2811.
11. Sahay, R.R. and Sehgal, V. 2013. Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India. Journal of Flood Risk Management, 6(2), pp.146-155.