QUEST Lab
Physics-Informed ML & Neural Operators
Neural operators, PINNs, and diffusion models that bake in physics — from wind-turbine wakes to SAR object detection.
Ocean, Weather & Climate Prediction
Probabilistic ocean forecasting, climate-model bias correction, and coastal eddy/current detection in the Indian Ocean and beyond.
Robotics and Physical Intelligence
Optimal path planning for marine and aerial vehicles under uncertainty, now growing into Physical AI — the lab's primary focus: World Models, VLAs, VLMs, LLMs, and Flow Models.
Indian Monsoon & Weather Extremes
Forecasting Indian Summer Monsoon onset, active-break spells, and city-scale extreme rainfall.
Data Assimilation, Bayesian Methods & Uncertainty Quantification
The methodological thread underneath the lab's ocean, monsoon, and epidemiological modeling: filtering theory and uncertainty quantification.
AI for Social Good: Ecology & Conservation
Agent-based models and habitat prediction for human-wildlife conflict, plus sustainable-fisheries modeling.
AI for Education
LLM-based question generation and speaking-assessment scoring, aligned to Bloom's taxonomy and CEFR standards.
We build machine learning that respects the physics, uncertainty, and constraints of the real world. From ocean currents to elephant migrations, autonomous vehicle routing to classroom assessment, the lab’s seven research threads share one instinct: don’t throw away what’s already known about a system just because a neural network can approximate it. Led by Deepak N. Subramani.
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore
Join the Lab
Current openings for Master's, Ph.D., and summer positions, plus what actually makes an inquiry email work.
Latest News
- Jan 2026 AMA session on research careers
- Jan 2026 Two journal papers accepted
- Dec 2025 Lab alumni presentation at ACML 2025