معرفی
Manmeet Singh is a Distinguished Postdoctoral Fellow at the Jackson School of Geosciences, University of Texas at Austin, and a former Staff Scientist at the Indian Institute of Tropical Meteorology (IITM). His expertise spans climate modeling, AI/ML applications in Earth System Science, and numerical weather prediction. He holds a PhD from IIT Bombay and a B.E. in Civil Engineering from Thapar University.
Key roles include:
- Associate Editor, Journal of Indian Society of Remote Sensing
- Editorial Board Member, Discover Cities (Springer Nature)
- Member, IPCC CMIP7 ScenarioMIP Advisory Group
- Mentor, Geoscience Hackathon 2024
Research interests focus on:
- Climate solutions using mathematical models and deep learning
- Aerosol impacts on monsoons and land-atmosphere coupling
- High-resolution urban digital twins for flood/wildfire prediction
- Physics-inspired ML algorithms for weather downscaling
Awards include the Best Poster Award (2024), Distinguished Postdoctoral Fellowship (2024–2026), and Prof DR Sikka Award (2020). He has contributed to IPCC AR6 reports through IITM-ESM simulations and developed novel AI tools like UT-MeteoGAN for weather forecasting.
Grants and projects include:
- Development of high-resolution urban gridded datasets
- AI-driven cloudburst prediction systems
- Global building height mapping (UT-GLOBUS)
Led initiatives such as the Workshop on Atmospheric and Urban Digital Twins and maintains active collaborations with NASA, Microsoft, and the Ministry of Earth Sciences (India).
