Sarath Chandra Kumar Jagupilla
Teaching Assistant Professor
Prof. J's research interests are in mathematical modeling as applied to environmental and water systems. He uses empirical modeling techniques such as multivariate polynomial regression and symbolic regression, mechanistic models such as WASP, besides R and GIS to this end. He would like to work towards applications of geospatial statistics in the field of environmental and water modeling.
He has experience in field data collection for water quality modeling, solid remediation for chromium ore processing residue, and measurement of geotechnical properties.
Professor Jagupilla (Prof. J) is an Assistant Professor at Stevens Institute of Technology, a licensed professional engineer, and a board-certified environmental engineer. He is also an ASCE ExCEEd graduate and an ABET PEV (program evaluator) for AAEES. Prof. J has ~16 years of teaching and research experience in water, environmental and geo-environmental experimentation, field sampling, data analysis, and modeling. He has nine refereed journal articles and twelve conference proceedings with 132 citations. Prof. J serves as instructor for probability and statistics for engineers, modeling and simulation of environmental systems, introduction to geographic information systems, and regression and stochastic methods. He also acts as a faculty advisor for senior design projects. In the past he also taught geotechnical engineering, statistical methods in sustainability, and groundwater hydrology and pollution.
- Civil Engineering Curriculum Committee Member
- Environmental Engineering Curriculum Committee Member
- Undergraduate Education Committee Member
- ABET Working Group Member
- Teaching-Learning Excellence Committee Member
- Geotech Faculty Search Committee Member
- PhD Qualifying Exam Committee Member
- ABET, AAEES Program Evaluator for Environmental Engineering
- ASCE Reviewer
Graduate of ASCE's Excellence in Civil Engineering Education Program
Board Certified Environmental Engineer (Water Supply and Wastewater). AAEES.
Professional Engineer (Civil Engineering, Water and Environmental Engineering Specialty: (NH) 14614.
Institute Best Teaching Assistant, Stevens Institute of Technology, 2009.
The ASCE Student Chapter Award given to the Outstanding Teaching Assistant, 2008.
The ASCE Student Chapter Award given to the Outstanding Teaching Assistant, 2007.
Graduate Aptitude Test in Engineering (GATE) scholarship for Masters in Engineering in India, 2000-2002.
- WEF – Water Environment Federation Member
- AAEES – American Academy of Environmental Engineers and Scientists Member
- ASCE – American Society of Civil Engineers Member
Total Maximum Daily Load for Pathogen to Address Three HUC 14 Watersheds in the Lower Passaic River Watershed. 2008. New Jersey Department of Environmental Protection. $569240.
- Jagupilla, S. C.; Shah, V.; Vaccari, D. (2019). Spatial trends in logistic models and linear relations of pathogen indicators and total suspended solids in a CSO-impacted urban river. WEFTEC 2019 - 92nd Annual Water Environment Federation's Technical Exhibition and Conference (pp. 675-688).
- Zhang, F.; Orton, P.; Madajewicz, M.; Jagupilla, S. C.; Bakhtyar, R. (2020). Mortality during Hurricane Sandy: the effects of waterfront flood protection on Staten Island, New York. Natural Hazards (1 ed., vol. 103, pp. 57-85).
- Jagupilla, S. C.; Shah, V.; Ramaswamy, V.; Gurumurthy, P.; Vaccari, D. (2020). Prediction of boundary and Stormwater E. Coli concentrations using river flows and baseflow index. Journal of Environmental Engineering (United States) (4 ed., vol. 146).
- Jagupilla, S.; Vaccari, D.; Miskewitz, R.; Su, T.; Hires, R. I. (2015). Symbolic regression of upstream, stormwater, and tributary E. coli concentrations using river flows.. Water environment research : a research publication of the Water Environment Federation (1 ed., vol. 87, pp. 26-34).
- Ilbeigi, M.; Jagupilla, S.. An Empirical Analysis of Association Between Socioeconomic Factors and Communities' Vulnerability to Natural Disasters. Sustainability (6 ed., vol. 12, pp. 6342). MDPI.