Dr. Suresh Sharma is a faculty in Civil and Environmental Engineering Program of Youngstown State University, Ohio. Dr. Sharma worked as a Postdoctoral Research Associate at Purdue University, Indiana for a year after completing his PhD study in Civil Engineering. Dr. Sharma received his PhD from Auburn University, USA. Before Joining PhD, Dr. Sharma worked in Nepal Government as a Civil Engineer being involved in various multi-disciplinary projects such as rural roads, bridges, irrigation, water supply, and sanitation. Dr. Sharma received his MS degree in Water Resources Engineering (Civil) in 2005 from the Institute of Engineering, Pulchowk Campus, Nepal, and received a BS degree in Civil Engineering in 2000 from the same university.

Dr. Sharma is interested in complex hydrologic and water quality modeling using various types of data-driven, conceptual, physically based and distributed, and semi-distributed watershed models in the context of climate change and variability. Dr. Sharma also worked in a research-related to hydraulic fracking and its impact on water resources, early flood warning systems, sediment and nutrient loading reduction in lakes and reservoir using best management practices (BMPs).

Currently, Dr. Sharma is working on the salinity prediction of the marsh area in the Mentor Marsh, Ohio. The overall goal of this project is to develop hydrologic and hydrodynamic models and predict salinity variation across the marsh in various locations, especially by incorporating the seiche influence of Lake Erie and upstream salinity loadings.
In addition, Dr. Sharma conducts studies related to the impact of climate change/climate variability on water resources and water quality (NPDES permit and TMDL development, organic carbon simulation) including watershed modeling using various kinds of models/programming tools and technique. Dr. Sharma’s research also includes the application of various climate forcing functions including ENSO, NAO, PDO for TOC load monitoring, long-range streamflow forecasting using climate models, climate variability-based rainfall-runoff modeling, hydrological time series analysis with ENSO (wavelet analysis), and mathematical modeling for streamflow forecasting with ENSO application.

Dr. Sharma has experience in watershed modeling, hydrodynamic, in-stream water quality modeling, and river modeling in tidally influenced streams. Some of his research interests include nutrient modeling, non-point source modeling/sediment modeling/DO modeling, best management practices, sediment transport, and anthropogenic influence on nutrient cycle and management. Besides, Dr. Sharma’s research includes land use/land cover change impact analysis, remotely sensed precipitation datasets (NEXRAD) and its application in hydrology, spatial variability, and its impact in hydrologic analysis.