Dr. Suresh Sharma is a faculty member in the Civil and Environmental Engineering Program at Youngstown State University, Ohio. He completed his PhD in Civil Engineering at Auburn University in 2012 and subsequently worked as a Postdoctoral Research Associate at Purdue University from 2012 to 2013. Prior to his doctoral studies, Dr. Sharma served as a Civil Engineer in the Government of Nepal, contributing to a range of multidisciplinary infrastructure projects, including rural roads, bridges, irrigation systems, water supply, and sanitation. He earned his MS degree in Water Resources Engineering in 2005 and his BS degree in Civil Engineering in 2000, both from the Institute of Engineering, Pulchowk Campus, Nepal.

Dr. Sharma’s research spans both environmental monitoring and advanced modeling. Over the past several years, he has established monitoring stations across streams, rivers, lakes, and wetlands to support long‑term hydrologic and water‑quality assessments. His modeling expertise includes data‑driven, conceptual, physically based, distributed, and semi‑distributed watershed models, particularly in the context of climate change and climate variability. His work also encompasses hydraulic fracturing impacts on water resources, early flood‑warning systems, sediment and nutrient reduction strategies using best management practices (BMPs), and hydrodynamic and water‑quality modeling in lakes and reservoirs.

Dr. Sharma has conducted extensive research on salinity prediction in Mentor Marsh, Ohio, developing hydrologic and hydrodynamic models to evaluate spatial salinity variation influenced by Lake Erie seiches and upstream loadings. His broader research portfolio includes studies on climate‑change impacts on water resources and water quality, NPDES and TMDL‑related modeling, organic carbon simulation, and the application of climate indices such as ENSO, NAO, and PDO for hydrologic forecasting and TOC load analysis. He has also worked on long‑range streamflow forecasting, rainfall‑runoff modeling, hydrologic time‑series analysis, and ENSO‑based predictive modeling. Overall, Dr. Sharma’s experience integrates field monitoring with watershed, hydrodynamic, and water‑quality modeling, including sediment transport, nutrient cycling, BMP evaluation, land‑use change analysis, and the use of remotely sensed precipitation datasets such as NEXRAD for hydrologic applications.