Dr Abhilash Singh
- Position: Research Fellow
- Areas of expertise: Physics-informed machine learning; Automated machine learning (AutoML); Remote sensing and hydrology; Soil moisture
- Email: A.Singh4@leeds.ac.uk
- Location: 9.30 School of Mathematics
- Website: Personal webpage | CV | X | LinkedIn | Googlescholar | Researchgate | ORCID | Scopus
Profile
I work at the intersection of artificial intelligence, Earth observation, hydrology, and weather/climate science. My research develops physics-informed and data-driven machine learning models to transform satellite, radar, sensor, and environmental datasets into actionable information for soil moisture monitoring, hydrological prediction, precipitation nowcasting, drainage congestion assessment, and climate-risk analytics. At the University of Leeds, I am a Research Fellow in Physics-Informed Machine Learning for African Storms and lead the AINPP Africa intercomparison initiative, coordinating AI-based nowcasting evaluation with commercial partners, academic institutions, and meteorological agencies. My long-term goal is to build trustworthy and scalable AI systems for Earth and climate intelligence.
Qualifications
- PhD in Remote Sensing and Hydrology, Indian Institute of Science Education and Research Bhopal
- Integrated M.Tech. in Electronics and Communication Engineering
Professional memberships
- Member IEEE
- Member AGU
- Member EGU