Manmeet Singh
Assistant Professor @ Western Kentucky University
I build AI systems for Earth science — from end-to-end deep learning weather models to GPU-accelerated climate simulations. 50+ publications, 4,300+ citations. My work spans diffusion models for data assimilation, physics-informed neural networks for downscaling, and real-time AI forecasting pipelines deployed at scale. Previously Distinguished Postdoctoral Fellow at UT Austin; Staff Scientist at IITM India; Fulbright-Kalam Fellow. Contributor to IPCC AR6 via CMIP6 Earth System Model simulations.
Research Focus
AI-Augmented Weather Prediction
End-to-end deep learning systems for street-level forecasting. CNN & Transformer architectures for geospatial data with real-time inference pipelines and uncertainty quantification.
Generative AI for Earth Science
Diffusion models, flow matching, and score-based methods for data assimilation, downscaling, and gap-filling of satellite datasets.
Disaster Forecasting & Digital Twins
Real-time AI-powered digital twins for floods and wildfires. Partnerships with Kentucky Emergency Management and EM1.
Climate Modeling & Earth System Science
Physics-informed neural networks for climate downscaling. CMIP6 contributions to IPCC AR6. Causal discovery and complex networks in climate.
Work Experience
Assistant Professor
Western Kentucky University, Bowling Green, Kentucky, USA
Leading the AIR Lab (AI Research Lab). Building high-resolution AI forecasting products: EarthMind High-Res, EarthMind S2S, field-scale soil moisture via diffusion models. Teaching Climate Data Science (grad) and Intro to Meteorology. PI on $2M DOE microgrid project and NSF/NCAR compute allocations.
Research Affiliate (0% Appointment)
The University of Texas at Austin, Austin, Texas, USA
Developing AI Earth System Model components: AI Land Model, AI Ocean Model, AI Atmosphere Model. Building end-to-end ML pipelines for subseasonal-to-seasonal (S2S) prediction.
Distinguished Postdoctoral Fellow
The University of Texas at Austin, Austin, Texas, USA
Deep learning augmented NWP for human health, flood forecasting, wildfires, and financial risk. Led WMO Research Demonstration Project on ultra-high-resolution AI forecasting for 2024 Paris Olympics. Built CNN & Transformer models for geospatial data with real-time inference pipelines.
Scientist D
Indian Institute of Tropical Meteorology, Pune, India
AI/ML for climate model downscaling using physics-inspired deep learning. Published in Geophysical Research Letters on physics-inspired neural networks for high-resolution downscaling.
Research Affiliate
The University of Texas at Austin, Austin, Texas, USA
Deep learning augmented numerical weather prediction published in GRL. Super-resolution based downscaling, causal discovery in climate science, urban climate extremes assessment.
Fulbright-Kalam Fellow
The University of Texas at Austin, Austin, Texas, USA
International research fellowship for aerosol-land-atmosphere interactions. Land surface modelling with NOAH-MP, agricultural drought prediction over South Asia.
Scientist C
Indian Institute of Tropical Meteorology, Pune, India
Led CMIP6 simulations contributing to IPCC AR6. Built and maintained IITM Earth System Model aerosol module. Set up CMOR and ESMValTool pipelines for model evaluation.
Scientist B
Indian Institute of Tropical Meteorology, Pune, India
Pioneered deep learning for seasonal Indian Monsoon prediction. ENSO-Indian Monsoon coupling analysis using phase synchronization and complex networks.
Technical Skills
ML Frameworks
Generative AI
Scientific Computing
Cloud & HPC
Geospatial
Languages
MLOps & Infra
Earth Science
Active Grants & Projects
Deploying an Economically Viable Microgrid at WKU Innovation Campus
Climate Modeling and AI Applications for Weather and Climate Analysis
AI-Driven High-Resolution Climate Modeling and Forecasting
Software & Products
EarthMind High-Res
High-resolution short-range AI weather forecasts using deep learning, demonstrated superior performance during Hurricane Beryl
EarthMind S2S
AI subseasonal-to-seasonal prediction system for forecasting weeks to months ahead
SOLWEIG-GPU
GPU-accelerated thermal comfort modeling framework for urban digital twins, published in JOSS
UT-GLOBUS
Global building heights dataset for urban studies, published in Nature Scientific Data
EpiClim
Weekly district-wise all-India multi-epidemics climate-health dataset for GeoHealth research
DeepAssimilate
Python library for diffusion-based generative data assimilation for climate and weather applications
Selected Publications
A First End-to-End AI Land Model for Accurate Representation of Physical Systems in Machine Learning Earth System Models
Singh, M., Sudharsan, N., Kamath, H., Mbarak, M., Acharya, N., Schreck, J., et al.
AI-Based Downscaling of Solar and Meteorological Data Using Diffusion, Distillation, and Flow Matching Networks
Singh, M., Sudharsan, N., Dashtian, H., Young, M., Patadia, F., Brosnan, I.G., et al.
When Less Is More: Simplicity Beats Complexity for Physics-Constrained InSAR Phase Unwrapping
Singh, P., Singh, M.
Exploring the Design Space of Diffusion and Flow Models for Data Fusion
Chaudhari, N., Singh, M., Sudharsan, N., Srivastava, A.K., Kamath, H., et al.
Deep Learning Augmented Numerical Weather Prediction
Singh, M., et al.
Physics-Inspired Deep Learning for High-Resolution Downscaling
Singh, M., et al.
SOLWEIG-GPU: GPU-Accelerated Thermal Comfort Modeling Framework for Urban Digital Twins
Kamath, H.G., Sudharsan, N., Singh, M., et al.
High-Resolution Maize Yield Mapping across Africa using Earth Observation and ML, DL, and Foundation Model
Halder, K., Ewert, F., Ghosh, A., et al.
Students & Lab Members
Somnath Luitel
Graduate Researcher (MS)
AI applications in weather and climate science
Background: Civil Engineering, Tribhuvan University, Nepal
Open Positions
Seeking MS/PhD students and postdocs in AI, weather, climate, disaster science, and remote sensing
Get in TouchEducation
Ph.D. (Geoscience)
Indian Institute of Technology Bombay, India
July 2017 - May 2022
Role of volcanic and anthropogenic aerosols on the tropical ocean-atmosphere-land coupled system and the South Asian Monsoon. GPA 9.0/10.
Training in Earth System Sciences and Climate (ESSC)
Indian Institute of Tropical Meteorology, Pune, India
August 2013 - July 2014
B.E. (Civil Engineering)
Thapar University, Patiala, India
July 2009 - May 2013
GPA 8.85/10.
Honors & Awards
Distinguished Postdoctoral Fellowship, UT Austin ($150,000 + grant)
Fulbright-Kalam Climate Fellowship (2020-2021)
WMO Research Demonstration Project — AI Forecasting for 2024 Paris Olympics
Contributor to IPCC AR6 via IITM Earth System Model CMIP6 simulations
Prof DR Sikka Award for Best Research Paper, IITM (2020)
Special Prize, Smart India Hackathon (2020)
Silver Jubilee Award for Best Research Paper, IITM (2018)
Best Poster Award 2024, Bureau of Economic Geology, UT Austin
Teaching
Climate Data Science
Graduate • Western Kentucky University
Introduction to Meteorology
Undergraduate • Western Kentucky University