We Develop Technologies for Monitoring and Mitigating Natural Hazards

  • Research Areas: Water Resources Engg, Hydrometeorology, Climate Change Impacts
  • Hazards: Floods, Landslide, Erosion.
  • Tools and Methods: Land Surface and Hydrodynamic Modeling, Artificial Intelligence and Machine Learning, Remote Sensing, Data Assimilation, High-Performance Computing.
 
 
 
 
  

Email: msaharia@iitd.ac.in

Phone: +91-011-26591260

Dr. Manabendra Saharia

Assistant Professor, Dept. of Civil Engineering

Associate Faculty, Yardi School of Artificial Intelligence

Indian Institute of Technology Delhi

Dr. Manabendra Saharia is an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology (IIT) Delhi and an associate faculty in the Yardi School of Artificial Intelligence. Prior to joining IIT Delhi, Dr. Saharia held positions in the hydrology labs of the NASA Goddard Space Flight Center and the National Center for Atmospheric Research (NCAR). He received his PhD in Water Resources Engineering from the University of Oklahoma. At IIT Delhi, his HydroSense research lab focuses on developing physics and data-driven techniques to monitor and mitigate natural hazards such as floods and landslides. He has been recognized for his scientific contributions, having received Young Scientist awards from both the National Academy of Sciences, India (NASI) and the International Society for Energy, Environment and Sustainability (ISEES).

Fulbright Kalam Climate Fellow (USA, 24-25), Visiting Scientist (NCAR, USA), Global Guest Professor (Keio University, Japan), CDRI Fellowship (Coalition for Disaster Resilient Infrastructure), NASI Platinum Jubilee Young Scientist Award (India), Sir CV Raman Young Scientist Award (India).

Monitoring and Mitigating Natural Hazards

Our mission is to develop technologies for monitoring and mitigating natural hazards, with the aim of reducing their impact on life, the environment, and the economy. For this, we combine physics-based modeling and cutting-edge AI/ML techniques to simulate and investigate the terrestrial water cycle. We focus on developing actionable early warning systems for floods, droughts, and landslides as well as strategies for sustainable water management that can aid the most vulnerable regions of the world. 

Hydrologic Modeling and Forecasting

Water resources modeling and forecasting at local to global scales using land surface and hydrodynamic models. Focus on supercomputing, data assimilation, and hybrid physics-AI approaches for developing early warning systems (EWS).

Geospatial Artificial Intelligence

Application of AI techniques for extracting knowledge from structured and unstructured earth observation (EO) data. Focus on satellite and radar precipitation, damage detection, flood inundation mapping, gravimetry etc.

Climate Impacts

Assessing the impact of climate change on water resources, natural hazards, and built infrastructure. Developing techniques for advanced physical risk assessment and adaptation strategies.

Research Datasets Freely Available

As researchers, we stand on the shoulders of the community. We are ardent supporters of open-science and release our datasets and code into public domain, except when restricted by source. No co-authorship is expected for using any of our published data. However, you are welcome to share your research by E-mail. We love hearing about interesting applications!