Mukesh Kumar is an Assistant Professor of Hydrology and Water Resources at Duke University. He did his B.Tech from IIT Kanpur and Ph.D. from Pennstate University. Mukesh's research goal is to improve understanding and prediction of hydrologic processes. Primarily, he seeks to:
            (a) assess the individual and integrated role of processes and antecedent states on hydrologic response (e.g. JHM16, EMS16, JHM15, AWR13);
            (b) evaluate the eco-hydrological impacts of variations/changes in landcover (e.g. JGR14, JGR13) and climate (e.g. HESS17, PNAS17, WRR16, GRL16, GRL12);
            (c) quantify the role of approximations in data (e.g. AWR13) and processes (e.g. AWR12) on hydrologic estimates.
To achieve these goals, Mukesh has co-developed several open-source numerical models (e.g. PIHM, FIHM, GaRM, FoRM, GeoTopSed, SPAC) and data analytics methods (e.g. JH09). To facilitate the use of models over a range of scales and settings, he has also worked on the design of model interfaces (e.g. PIHMgis) and efficient modeling strategies (e.g. GIS09, pPIHM, SREP18). Mukesh's research recognitions include NSF CAREER Award, UCOWR PhD Dissertation Award (2nd Prize), CUAHSI-CMWR Fellowship and Outstanding Student Paper Award at AGU. Mukesh's students have also received several honors including Outstanding Student Paper Award at AGU to Yanlan Liu, CUAHSI Pathfinder Fellowship to Bijan Seyednasrollah, and NASA Earth Science Fellowship, IGERT WiseNet Fellowship, James B Duke Fellowship and DUWC Research Grant to Chris Krapu. 

Focus Areas: Watershed Hydrology, Snow Hydrology, Ecohydrology, Numerical Modeling, Geographic Information Systems (GISs).