Teaching
2026–27 (Monsoon Semester)
1. Application of Geophysical Methods (NGPC303)
2. Applied Remote Sensing Practical (NGPC304)
3. Introduction to Near-Surface Geophysics (NGPE201)
Designation: Assistant Professor
Department: Applied Geophysics
Email: anilkumar[at]iitism[dot]ac[dot]in
Contact Number:
Personal Page: Click Here
About Me: I work at the intersection of computational geophysics and scientific machine learning. My research focuses on developing frameworks for solving complex inverse problems by leveraging advances in machine learning and allied computational techniques within the physics-based systems to build scalable and operational solutions.
Research Interest: Geophysical inversion, Reduced-order modeling, Bayesian inference and uncertainty quantification, Interpretable ML for geosciences, Data fusion, GPU-accelerated simulations, Physics-constrained surrogate modeling
Ph.D. Student (Ongoing) | Hydrogeophysics and Climate Change
Ankit Kumar is currently pursuing his Ph.D. in hydrogeophysics, with a focus on understanding how climate-driven changes in rainfall and groundwater recharge affect subsurface water resources. His research aims to combine geophysical observations, hydrological data, and computational modeling to characterize groundwater systems and assess their vulnerability to climate change.
M.Tech. Student (Ongoing) | Deep learning applications in Geophysics
Deep Learning-Assisted Enhanced Inversion Framework for Complex Subsurface Environments
Integrated M.Tech. Student (Ongoing) | Numerical modeling applications in Geotechnics
Spatio-temporal analysis of landslides
Integrated M.Tech. Student (Ongoing) | Remote sensing applications in Geotechnics
Geotechnical risk assessment using numerical modeling and remote sensing