
Vijay Singh
· Distinguished Professor and Regents Professor, Caroline & William N. Lehrer Distinguished Chair in Water EngineeringTexas A&M University · Biological & Agriculture Engineering
Active 1975–2026
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About
Vijay Singh is a Distinguished Professor and Regents Professor, holding the Caroline & William N. Lehrer Distinguished Chair in Water Engineering at Texas A&M University. His educational background includes a B.S. from U.P. Agricultural University in India, an M.S. from the University of Guelph in Canada, and a Ph.D. in Civil Engineering from Colorado State University. Singh's areas of expertise encompass surface-water hydrology, groundwater hydrology, hydraulics, irrigation engineering, environmental quality and water resources, watershed modeling, erosion and sediment transport in upland watersheds, streamflow forecasting, dam break analysis, entropy-based modeling, network design, groundwater modeling, and the hydrologic impacts of climate change. He has made significant contributions to the field through his research and publications, including several authoritative books on entropy theory and hydrologic science. Singh has received numerous awards recognizing his lifetime achievements and contributions to water engineering and environmental science, including the IASWC Lifetime Achievement Award, the Sigma Xi Outstanding Distinguished Scientist Award, and the Jiangsu Provincial Friendship Award in China.
Research topics
- Computer Science
- Environmental science
- Climatology
- Mathematics
- Geography
- Meteorology
- Artificial Intelligence
- Algorithm
- Statistics
- Geology
Selected publications
The Science of The Total Environment · 2022 · 415 citations
Journal of Hydrology · 2021 · 164 citations
Sustainability · 2020 · 133 citations
In the present study, six meta-heuristic schemes are hybridized with artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM), to predict monthly groundwater level (GWL), evaluate uncertainty analysis of predictions and spatial variation analysis. The six schemes, including grasshopper optimization algorithm (GOA), cat swarm optimization (CSO), weed algorithm (WA), genetic algorithm (GA), krill algorithm (KA), and particle swarm optimizatio…
Carbon and water fluxes characteristics and differential regulation mechanisms in dryland ecosystems
Journal of Hydrology · 2025-06-20 · 5 citations
articleJournal of Hydrology Regional Studies · 2025-10-04 · 4 citations
articleOpen accessHanjiang River basin, China The role of large reservoirs in modulating drought propagation is crucial for effective drought management and water resources planning. This study characterized hydrological drought events and their properties, using run theory, and analyzed correlations between the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI) at multiple temporal scales. It assessed the impact of the reservoir on drought propagation, that involved translation rate, sens…
Frequent coauthors
- 73 shared
Emöke Imre
Obuda University
- 69 shared
Maria Datcheva
- 66 shared
Wiebke Baille
Ruhr University Bochum
- 66 shared
Daniel Barreto
- 65 shared
Tibor Firgi
Obuda University
- 64 shared
Yuankun Wang
North China Electric Power University
- 64 shared
S. Feng
- 61 shared
Dong Wang
Nanjing University
Education
- 1967
B.S., Engineering and Technology
U.P. Agricultural University – India
- 1970
M.S., Engineering
University of Guelph – Canada
Ph.D., Civil Engineering
Colorado State University
Awards & honors
- IASWC Lifetime Achievement Award (2016)
- Sigma Xi Outstanding Distinguished Scientist Award (2016)
- USCID/Merriam Improved Irrigation Award (2016)
- Jiangsu Provincial Friendship Award, China (2016)
- Outstanding Alumnus Award, College of Technology, G.P. Pant…
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