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
• Ecology

Selected publications

• Seasonal dynamics and environmental controls of CH4 and CO2 fluxes in a rice–meadow ecosystem of semi-arid northeastern China

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access
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• A New Spectral Risk-Based Approach for Estimating Probable Maximum Precipitation

  Iranian Journal of Science and Technology Transactions of Civil Engineering · 2025-07-23

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• An investigation into hydrological response to urbanization in the Loess Plateau, China: Does urban expansion only boost flow?

  Journal of Hydrology Regional Studies · 2025-07-29 · 1 citations

  articleOpen access

  The upper and middle reaches of the Wei River basin (U&M-W R ) in Loess Plateau of China. This research applies the modified Patch-generating Land Use Simulation (PLUS) model to simulate urbanization dynamics, particularly the conversion from Agricultural Land (AGRL) to High-density Urban Residential Land (URHD), and the Soil and Water Assessment Tool (SWAT) to investigate multi-dimensional hydrological impacts of urban expansion in river valley regions, focusing on quantifying urbanization-induced runoff depth changes and identifying the geospatial drivers, assessing shifts in streamflow quantiles and extreme streamflow, and examining impacts on streamflow components and generation mechanisms. Urbanization increases the watershed's multi-year average runoff depth. The change in runoff depth caused by per-unit URHD increase (RDC_PU) decreases with higher regional topographic relief, average slope, and maximum elevation. Shifting from discrete to intensive urban expansion increases RDC_PU. Urbanization increases daily/monthly streamflow below the 60 %/65 % quantile but decreases them above those thresholds. It also exacerbates extreme events, with maximum urbanization boosting 100-year floods by 46 % and reducing 95 % dry flows by 26 %. Higher surface flow, alongside reduced lateral flow and groundwater flow, shifts runoff generation toward over-infiltration. These findings emphasize geomorphology's role in shaping hydrological responses to urbanization and offer vital insights for water management, flood and drought disaster mitigation, and urban land use planning in global river valley regions. • Urbanization reduces daily/monthly streamflow for quantiles higher than 60 %/65 %. • Urbanization boosts extreme floods by 46 % and lowers extreme dry flow by 26 %. • Topography attributes spatial variation in the hydrological impacts of urbanization. • Urbanization shifts runoff mechanisms toward over-infiltration dominance.

  PublisherDOI

• Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering

  Water Research · 2025-12-12 · 2 citations

  articleOpen access

  Large Language Model-based Multi-Agents (LLM-MAs) are emerging systems that manage complex tasks with specialized and coordinated agents. In this paper, we present new perspectives on the integration of LLM-MA systems into enhancing water engineering practices. Water engineering typically involves data integration, analysis, modeling, decision-making, and cross-disciplinary collaboration, which often present significant difficulties. To address these domain-specific complexities, we explore how LLM-MA systems can support advanced operations in water engineering and facilitate them. By pointing out the linguistic capabilities of LLMs and the modular, scalable, and collaborative architecture of LLM-MA systems, we investigate the role of intelligent agents in enabling timely, adaptive, and traceable solutions. Various practical applications were identified, e.g., LLM-MA for pressure drop detection in water distribution networks, flood management, or in their role as potential negotiating agents to find a balanced solution considering differing goals. Our investigation highlights both the capabilities and limitations of LLM-MAs in water engineering and proposes practical recommendations for their effective implementation within the field. This study seeks to develop a foundational framework for understanding how LLM-MAs can shape the future of water engineering processes.

  PublisherDOI

• Entropy in Hydrology

  Perspectives of Earth and Space Scientists · 2025-06-03 · 1 citations

  articleOpen access1st authorCorresponding

  Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy by Kullback and Leibler in 1959, and the formulation of entropy in frequency domain by Burg in 1967. The concept of informational entropy is more intuitive, because it is a measure of information or uncertainty which is encountered in daily life. Hence, its application is ubiquitous. If we peruse hydrologic problems, it becomes clear that their solutions involve either measurement of information through data collection, or extraction of information through data analysis, or maximization or minimization of information by optimization, or prediction of information through modeling, or analysis and synthesis of information by simulation, or weighing of information for decision making. Thus, solutions of hydrologic problems may involve the direct application of entropy, examples of which are monitoring network evaluation and design, water resources allocation, and model selection. Solutions of some problems involve the application of the POME, such as derivation of frequency distributions and parameter estimation, whereas solutions of other problems may involve the POME and a flux‐concentration type relation, such as modeling of hydrologic processes. There seems hardly any area in hydrology where entropy cannot be gainfully applied. This paper discusses basic ingredients for the application of entropy theory.

  PublisherOA PDFDOI

• Sediment Yield Estimation in Ungauged Basins with Improved Rating Curves and a New Empirical Model

  Iranian Journal of Science and Technology Transactions of Civil Engineering · 2025-08-25

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• Asymmetric window detection of abrupt global drought-wetness alternations and ecological responses

  Journal of Environmental Management · 2025-10-23 · 1 citations

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• Quantifying the Urbanization and Vegetation Greening Effect on Spatiotemporal Continuous Drought Risk Via Nonstationary C-Vine Copula Model

  Water Resources Management · 2025-12-20

  articleSenior author
  PublisherDOI

• Rolling forecast of soil moisture under non-stationary conditions: a robust framework incorporating time-varying dynamics within and between variables

  Journal of Hydrology · 2025-07-15

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  PublisherDOI

• A comprehensive analysis of seasonal and interannual ecohydrological process dynamics in semi-arid dune and meadow ecosystems

  Journal of Hydrology · 2025-05-27

  articleSenior author
  PublisherDOI

Frequent coauthors

• Emöke Imre

  Obuda University

  73 shared

• Maria Datcheva

  69 shared

• Wiebke Baille

  Ruhr University Bochum

  66 shared

• Daniel Barreto

  66 shared

• Tibor Firgi

  Obuda University

  65 shared

• Yuankun Wang

  North China Electric Power University

  64 shared

• S. Feng

  64 shared

• Dong Wang

  Nanjing University

  61 shared

Education

• B.S., Engineering and Technology

  U.P. Agricultural University – India

  1967

• M.S., Engineering

  University of Guelph – Canada

  1970

• 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…