Curriculum Vitae

Download in PDF


Saint Louis University

Center for Sustainability

Des Peres Hall, Room 203F

3694 West Pine Mall

St. Louis, MO 63108
Email:    Twitter: @Ehsanima





CUNY City College of New York (New York, NY)

Ph.D. in Civil Engineering, Water Resources and Environmental Engineering, 2016

Iran University of Science & Technology (Tehran, Iran)

M.Sc. in Civil Engineering, Water Resources, 2010

Isfahan University of Technology (Isfahan, Iran)

B.Sc. in Civil Engineering, 2007



Saint Louis University, Center for Sustainability, Postdoctoral Fellow 2016-Present
Environmental CrossRoads Initiative Group, Research Associate 2012- 2016
Environmental CrossRoads Initiative Group, Research Assistant 2011- 2012
NOAA-CREST, Research Assistant 2010- 2011
Hydro-Informatics Research Center – IUST, Research Assistant 2007- 2010
Civil Dez, Site Civil Engineer 2004- 2007



  • Ehsani N, Vörösmarty CJ, Fekete BM, Stakhiv EZ (2017) Reservoir Operations Under Climate Change: Storage Capacity Options to Mitigate Risk. doi: 10.1016/J.JHYDROL.2017.09.008. at <
  • Ehsani N, Fekete BM, Vörösmarty CJ, Tessler ZD (2016) A neural network based general reservoir operation scheme. Stoch Environ Res Risk Assess. doi: 10.1007/s00477-015-1147-9. at <
  • Ehsani N, Afshar A (2012) Optimization of Contaminant Sensor Placement in Water Distribution Networks: Multi-Objective Approach. In: Water Distribution Systems Analysis 2010. American Society of Civil Engineers, Reston, VA, pp 338–346. doi: 10.1061/41203(425)32. at <
  • Ehsani N, Afshar A (2012) Application of NA-ACO in Multiobjective Contaminant Sensor Network Design for Water Distribution Systems. In: Water Distribution Systems Analysis 2010. American Society of Civil Engineers, Reston, VA, pp 327–337. doi: 10.1061/41203(425)31. at <



  • Ehsani N, Vorosmarty CJ, Fekete BM, Rosenzweig B, Tessler ZD (2014) A Spatial Assessment of Hydrologic Alteration Caused by Dams in the Northeastern United States Using a Neural Network Based Daily Reservoir Operation Scheme. Presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. at <
  • Ehsani N, Vorosmarty CJ, Fekete BM, Rosenzweig B (2013) Reservoir Operation and Hydropower Generation Schemes for Regional Scale Hydrological Models: Case Study in the Northeastern United States. Presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec. at <
  • Rosenzweig B, Vorosmarty CJ, Miara A, Stewart R, Wollheim WM, Lu X, Kicklighter DW, Ehsani N, Shikhmacheva K, Yang P (2013) Incorporating Human Activities Into an Earth System Model of the Northeastern United States: Socio-hydrology at the Regional Scale. Presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec. at <
  • Ehsani N, Vorosmarty CJ, Fekete BM (2012) High-Resolution Map of Water Supply and Demand for North East United States. Presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. at <



  • Ehsani N, Vorosmarty CJ, Fekete BM (2016) Climate change impact on operation of dams and hydroelectricity generation in the Northeastern United States. Presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec. at <
  • Ehsani N, Vorosmarty CJ, Fekete BM (2015) Impact of Reservoirs on Contemporary and Future Hydrology of the Northeastern United States. Presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. at <
  • Rosenzweig B, Vorosmarty CJ, Stewart RJ, Miara A, Lu X, Kicklighter DW, Ehsani N, Wollheim WM, Melillo JM, Fekete BM, Dilekli N, Duchin F, Gross B, Bhatt V (2014) A Megaregion-scale Approach for Assessing the Impacts of Climate Change and Strategic Management Decisions in the Northeast United States. Presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. at <



Saint Louis University Center for sustainability (Saint Louis, MO)

Empowering aquatic research in North America with data from high-resolution streamflow and water temperature GIS modeling (NSF)

The primary goal of this project is to develop and distribute “HydroClim”, a data set characterizing contemporary and future streamflows and water temperatures in individual stream sections in all major watersheds across the United States and Canada. These data will be generated on high-performance computing systems using multiple Soil and Water Assessment Tool (SWAT) hydrologic models linked with a water temperature model. The SWAT hydrologic and water temperature models will be generated using contemporary air temperature and precipitation data as well as future climate data from multiple Global Climate Model scenarios to produce monthly estimates of streamflow volume and water temperature for the years 1950-2099. These data will also be integrated with FishNet 2 (, an established data portal that provides scientists, government agencies, resource managers, and the general public free and open access to occurrences of over 4.1 million species lots of freshwater fishes, globally, and over 2 million lots for the United States and Canada, thus allowing for the characterization of the habitat requirements of freshwater species in this region. Results from these efforts will also allow for examination of the sensitivity of streams throughout the United States and Canada to changes in climate, thus providing a greater understanding of the factors regulating water resources as well as the distribution of freshwater biodiversity both now and in the coming century.


CUNY ASRC Environmental CrossRoads Initiative (New York, NY)

A Regional Earth System Model of the Northeast Corridor: Analyzing 21st Century Climate and Environment (NSF)

We have developed an integrated hydrological modeling framework that incorporates various aspects of the coupled human-hydrologic system, from supply to demand, into a single framework. This framework provides temporally and spatially explicit information on the Northeast United States’ water system under different scenarios of climate change. We have presented a novel use of Artificial Neural Networks and developed a new General Reservoir Operation Scheme, which may be added to daily regional and global hydrologic routing models. We quantify the impact of climate change on the regional hydrology and function of more than 11000 existing dams in the Northeast and investigate the effectiveness of increasing water storage capacity by building more dams, as an adaptation option to create a climate change resilient water supply system. We show that climate change increases the hydrological impact of dams, and they will play a larger role in providing water security in the future. We are also showing the impact of climate change on hydroelectricity production and estimate the regional hydropower potential from non-powered dams. We estimate that by the end of the 21st century there will be up to 8% decrease in annual hydroelectricity generation in the region. Climate change is expected to increase the frequency and intensity of extreme weather events. We are investigating the resilience of water supply systems in the region against extreme climate events. Instead of using the simulated future climate scenarios for this purpose, we are simulating the historic mid-1960s drought in the Northeastern. The 1963-67 drought is the worst in the recorded history of the region and may be the most extreme in the past 500 years. Our analysis shows that with the current state of the infrastructure, the Northeast region can withstand such an extreme drought. We show that improvements in water use efficiency and changes in economic productivity in the region play a major role in creating drought resiliency in the region.


IUST Hydro-Informatics Research Center (Tehran Iran)

Optimum Layout for Water Quality Monitoring Stations in Urban Water Distribution Networks; Multi-objective Approach

Early warning and detection of deliberate chemical or biological contamination of the drinking water systems are probably among the most complex problems that should be addressed to guaranty the safety and security of water distribution networks. The detection system is comprised of a set of monitoring stations aimed at capturing deliberate external intrusions through water distribution system nodes. The main design objectives for choosing the optimum sensor locations were minimizing the contaminant detection time, and maximizing the detection likelihood. Extended-period simulation of unsteady hydraulics and water quality behavior was performed on a pressurized pipe network. We posed the problem as a single-objective optimization problem and solved it with a Genetic Algorithm. We also used two multi-objective algorithms, Non-dominated Sorting Genetic Algorithm (NSGA-II) and Non-dominated Archiving Ant Colony Optimization (NA-ACO) to find the optimum Pareto front.



Programming Languages: MATLAB, R, C, Shell Script, Python (limited)

Version control system: Git/GitHub

Geographical Information Systems: ArcGIS/ArcMap, ArcPy, ModelBuilder

Single and Multi-objective Optimization Techniques: Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Ant Colony Optimization (ACO), Non-dominated Archiving Ant Colony Optimization (NA-ACO), Linear Programming (LP).

Machine Learning: Artificial Neural Networks

Computing Operating systems: Linux/Unix, Mac OSX, Microsoft Windows

Other Software: SWAT, EPANET, WBMplus, Indicators of Hydrologic Alteration (IHA7.1), MS Office



Postdoctoral Fellowship (2016-2018)

CCNY GSOE Ph.D. Scholarship (2010-2015)

NOAA- CUNY CREST Fellowship (2010-2011)

Research Foundation of CUNY GRA Fellowship (2011-2013)

Research Foundation of CUNY GRA Fellowship (2015-2016)



Journal of Hydrology

Earth’s Future

Journal of Hydrological Processes

Journal of Stochastic Environmental Research and Risk Assessment

Journal of Irrigation and Drainage Engineering

Journal of Environmental Science & Technology

Journal of Environmental Modelling & Software

Journal of Water Resources Management

Journal of Geophysical Research-Atmospheres

Journal of Applied Meteorology and Climatology

Journal of Sustainable Cities and Society

Journal of Ecological Engineering

International Journal of Water


Professional Certificates

EIT Certificate from the New Hampshire Board of Licensure for Professional Engineers



Member of American Geophysical Union (AGU)

Member of American Meteorological Society (AMS)

Member of American Society of Civil Engineers (ASCE)

Member of New York State Society of Professional Engineers (NYSSPE)

Member of Engineers Without Borders – USA (EWB-USA)



Anthropogenic Disturbance of the Terrestrial Water Cycle

Hydrological Impacts of Climate Change

Drought Impacts

Hydrological Modeling

Water Resources Management

Optimization Techniques

Artificial Intelligence

Data mining

Remote Sensing



Statics and Strength of Material

Analytical Methods

Data analysis

Fluid Mechanics



Water Resources Management

Introduction to GIS and Remote Sensing

Climate Change

Principals of Optimization and Machine Learning

Macro-Scale Hydrology