IISc · 2021–2026 · IIT Delhi · 2017–2021 · 10,354+ NPTEL learners
Core graduate course covering probability and statistical inference, Bayesian decision theory, parametric and non-parametric classifiers, kernel methods, dimensionality reduction, and modern deep learning — from feedforward networks to transformers.
Course proposed and designed afresh at IISc. Covers advanced representation learning, generative models (VAEs, GANs, diffusion models), self-supervised learning, modern deep learning theory, and emerging topics in foundation models.
Research-track companion to E9 333, offered to a smaller cohort of advanced students. Covers generative model theory and recent advances in deep learning research at greater depth.
Foundational graduate course covering statistical learning theory, probabilistic models, kernel methods, and neural network basics.
Graduate course on machine intelligence covering supervised, unsupervised, and reinforcement learning with applications.
Advanced topics in machine learning: deep architectures, generative models, representation learning, and modern learning theory.
12-week course covering mathematical foundations of ML: linear algebra, probability, statistical inference, optimisation, and connections to modern deep learning. 2nd offering (August 2026) currently ongoing.
4-credit, 12-week course on the mathematical principles underlying generative AI — diffusion models, VAEs, normalising flows, and score-based methods. Designed for the IIT Madras BS Data Science programme.
30+ invited talks delivered during the IISc review period (2021–2026) across industry, academia, and government.
NeurIPS 2026 · ICML 2026 · ICLR 2026 · NeurIPS 2025 · AAAI · UAI · AISTATS
ICML · ICLR · NeurIPS · AAAI · CVPR · AISTATS · ACL · EMNLP (2021–Present)
TMLR · IEEE Trans. Medical Imaging · IEEE TPAMI · IEEE Signal Processing Letters · Medical Image Analysis · Neural Networks
SPCOM 2022 · SPCOM 2024 · SPCOM 2026 · NCC 2026 · CoDS 2026 · EECS Symposium 2022 · ECE Faculty Seminar Series 2024
Member, Committee for Responsible AI, Government of Karnataka (G.O. No. ITBT 02 PRM 2026, Mar 2026). Chaired by Shri Kris Gopalakrishnan (Co-Founder, Infosys). Mandate: responsible AI policy, risk classification, data governance, transparency, third-party audit, and procurement guidelines.
Founding Steering Faculty, Kotak IISc AI/ML Centre (KIAC) · Core Group, IISc Health AI Centre of Excellence · Visiting Faculty, Centre for Brain Research (CBR) (Mar 2026) · PCC Member, MTech Online ECE Program · PhD Comprehensive Exam Committees (ECE, CSA, CDS, EECS) · Annual Research Review (ARR) Committee, ECE
External examiner for PhD dissertations from IIT Delhi · IIT Hyderabad · IIIT Bangalore