Dr. Gagandeep Singh | Faculty | Civil Engineering

Dr. Gagandeep Singh
Assistant Professor

RESEARCH AREA

Remote Sensing, GIS, Hydrological and hydrodynamic modeling, Geospatial applications in Water Resources

EDUCATION

  • Ph. D, Indian Institute of Technology Roorkee
  • M. Tech. (Remote Sensing & GIS), National Institute of Technology Warangal
  • B.Tech. (Civil Engineering), Graphic Era Institute of Technology (U.T.U.), Dehradun.

AWARDS

  • Received the Indian Water Resources Society (IWRS) Best Water Resources Student Award-2023.
  • Best Paper Award for the paper entitled “Simulation of 7th February 2021 rock-ice avalanche event in the Rishiganga river valley of Uttarakhand Himalayas” in the International Conference on Climate & Weather-related Extremes, September 2022 at IIT Roorkee.
  • Department of Science & Technology DST-ITS (International Travel Support) for participating in EGU General Assembly 2022, Austria (22 May, 2022 to 27 May, 2022).
  • Awarded Orange Knowledge Program (OKP) fellowship funded by the Dutch Ministry of Foreign Affairs in 2019 to participate in a short course on Data Acquisition, Pre-processing and Modelling using SWAT-2019 at IHE Delft Institute for WaterEducation, The Netherlands.
  • GATE Qualified.

PROFESSIONAL MEMBERSHIP

  • Indian Society of Remote Sensing (Life Member): L4662
  • Indian Water Resources Society (Life Member): LM2017-7750

Dr. Gagandeep Singh is an Assistant Professor in Civil Engineering with over five years of experience in industry/academia/research. He is poised to leverage his interdisciplinary approach, technical prowess, and commitment to sustainability and resilience to drive research and academic excellence. His doctoral research delved deep into assessing flash flood potential and susceptibility in vulnerable sub-watersheds, employing advanced hydrodynamic and debris flow modeling techniques. Noteworthy achievements include the development of a comprehensive flash flood vulnerability map for the Upper Ganga Basin and successful implementation of hybrid ensemble bi-variate statistical models for flash flood susceptibility assessment. His work on the Chamoli flash flood event of 2021 stands as a testament to his proficiency in utilizing geospatial datasets and sophisticated software modules such as HEC-RAS and RAMMS-DF. He has published over 15 articles in prestigious peer-reviewed top-rated journals. His dedication to incorporating advanced technologies into his research is evident through the effective utilization of software tools such as ArcGIS, QGIS, GEE, ERDAS Imagine, SNAP, SPSS, and SWAT, along with proficiency in Python programming for processing and analyzing remote sensing datasets. As a committed educator and researcher, he additionally fulfills the role of a reviewer for international journals, demonstrating his dedication to furthering knowledge within his domain.