Team

Tirthankar Roy
Background
  • PostDoc, Civil and Environmental Engineering, Princeton University, USA (2017-2019)
  • Ph.D., Hydrology, University of Arizona, USA (2013-2017)
  • M.Tech., Civil Engineering, IIT Kanpur, India (2010-2012) | DAAD Scholar, TU Dresden, Germany (2011-2012)
  • B.Tech., Agricultural Engineering, BCKV, India (2006-2010)
Current Group Members: PhD Students
Name
Background
Research Topics

Layda Spor Leal

  • M.S., Civil Engineering, University of Texas Rio Grande Valley, USA

  • B.S., Civil Engineering, University of Texas Rio Grande Valley, USA

Machine learning, hydrological modeling, hydrological impacts of Conservation Reserve Program, urban resiliency

Chitresh Anand

  • M.Tech., Civil Engineering, IIT Kanpur, India

  • B.Tech., Civil Engineering, IIT Kanpur, India

Physics-based machine learning, groundwater hydrology
Nishant Kumar 
  • M.Tech., Water Resources & Environmental Engineering, IISc Bangalore, India
  • B.E., Civil Engineering, Jadavpur University, India
 Droughts in managed systems, nonstationarity, machine learning, statistical methods
Sudan Pokharel 
  • M.S., Civil Engineering, Auburn University, USA
  • B.E., Tribhuvan University, Nepal
 Floods and transportation safety, machine learning
Shivendra Srivastava
  • M.Tech., Engineering Geosciences, IIT BHU, India
  • B.Tech., Civil Engineering, Uttar Pradesh Technical University, India
 Floods and human health, floods and conservation practices, risk assessment, machine learning
Kanak Kanti Kar
  • M.Eng., Civil & Ocean Engineering, Jeju National University, South Korea
  • B.Sc., Civil & Environmental Engineering, Shahjalal University of Science and Technology, Bangladesh
 Nonperennial streams, precipitation, evapotranspiration partitioning, groundwater, machine learning
Sinan Rasiya Koya
  • B.Tech., Civil Engineering, IIT Gandhinagar, India 
 Rain-on-snow flooding, flood forecasting, drought assessment, machine learning

Current Group Members: Master's Students
Name
Background
Research Topics

Sebastian David Vazquez Gasty

  • Postgraduate Diploma in Artificial Intelligence, University of Chile, Chile

  • Profesional Degree in Civil Engineering, Major in Hydrology, University of Chile, Chile

  • Bachelor in Civil Engineering, University of Chile, Chile

 MODFLOW and Richards equation, machine learning
Molly Likins
  • B.S., Mathematics, College of Wooster, USA
 Impacts of stream bed adjustments
Nikita Machhi
  • B.E., Civil Engineering, Gujarat Technological University, India
 Conservation Reserve Program

Former Group Members: Postdocs
Name
Background
Research Topics

Incheol Kim
  • Ph.D., Geotechnical Engineering, Yonsei University, South Korea
  • B.S., Civil Engineering, Ashikaga University, Japan

Groundwater fluctuations and spring flooding, machine learning, statistical analyses
Former Group Members: Master's Students
Name
Background
Research Topics

Smit Doshi (Erasmus Scholar)

  • M.S., Universitat Politècnica de Catalunya, Spain | Newcastle University, UK | University of Nebraska-Lincoln, USA (Thesis)

  • B.E., Civil Engineering, Maharaja Sayajirao University of Baroda, India

 Probabilistic flood forecasting, global ensemble forecast system
Emma Dagerman
  • B.S., Civil Engineering, University of Nebraska-Lincoln, USA
 Rain-on-snow flooding literature

Former Group Members: Undergraduate Researchers
Name
Background
Research Topics

Tyler Gerdes

  • B.S., Civil and Environmental Engineering, University of Nebraska-Lincoln, USA

Flood risk assessment

Yashraj Purbey

  • B.S., Computer Science, University of Nebraska-Lincoln, USA

Ice jam modeling

Brooklynn Blackwell (NSF REU Scholar)

  • B.S., Civil Engineering, Howard University, USA

 Causal analysis, water quality

Makayla Gallegos (NSF REU Scholar)

  • B.S., Environmental Resources Engineering, SUNY ESF, USA

 Streamflow forecasting, machine learning

Annushka Aliev (NSF REU Scholar)

  • B.S., Civil Engineering, University of Maryland College Park, USA

 Hydrologic process understanding, machine learning

Ashley Jonas

  • B.A., Environmental Studies & Global Studies, University of Nebraska Lincoln, USA 

 Remote sensing, conservation reserve programs

Dei Rodriguez-Reverol

  • B.S., Civil Engineering, University of Nebraska-Lincoln, USA

 Sociohydrology literature 

PhD Committees 
Name
Background
Research Topics

Caily Schwartz

  • M.S., Earth System Science, University of Alabama in Huntsville, USA

  • B.S., Environmental Science, Auburn University, USA

 Flash droughts, machine learning

Prashnna Ghimire

  • M.B.C., Construction Management, Auburn University, USA

  • B.Arch., Architecture, Tribhuvan University, Kathmandu, Nepal

 Integrated information technology in large capital construction projects

Chuyang Liu

  • Ph.D., Civil Engineering, University of Nebraska-Lincoln, USA

  • M.S., Civil Engineering, University of Nebraska-Lincoln, USA

  • B.S., Civil Engineering, University of Nebraska-Lincoln, USA

 Water quality, machine learning

Yaser Kishawi

  • Ph.D., Biological Systems Engineering, University of Nebraska-Lincoln, USA

  • M.Sc., Environmental Engineering, University of Strathclyde, Scotland

Redcedar encroachment