Chair Professor & Laboratory Director
Ph.D. (Stanford), B.Tech (IIT Madras), F.I.A.Sc., SMIEEE
Primary Appointment
Chair Professor & Laboratory Director
Department & School
Department of Computer Science & Engineering
Academic Institution
Indian Institute of Science (IISc), Bangalore
Consultation Office Hours
Tuesdays & Thursdays, 2:00 PM – 4:30 PM
“Dedicated to scientific inquiry, algorithmic rigor, and mentoring independent researchers whose work drives foundational societal impact.”
Academic Biography & Research Statement
Guiding doctoral and graduate researchers across multidisciplinary federal and industry grants.
Designing forward-looking university curricula bridging algorithmic theory and systems-level labs.
Serving on prestigious international journal editorial boards and national policy advisory councils.
Peer-Reviewed Literature & Academic Offerings
Representative research publications, competitive grants, and courses taught. Click any item for abstract, citation details, or collaboration enquiries.
Published in Nature Digital Medicine (2025). Investigating hierarchical attention architectures that align high-resolution 3D medical imaging with dense clinical notes, demonstrating state-of-the-art diagnostic accuracy with verifiable uncertainty calibration.
Sponsored National Research Project (Grant Value: ₹1.85 Cr / $225,000). Developing continuous-learning transformers optimized for energy-efficient neuromorphic hardware and safety-critical edge autonomous systems.
Graduate Seminar Course (Spring Semester, 4 Credits). Comprehensive curriculum covering score-based diffusion models, flow matching, multimodal cross-attention alignment, latent spatial tokenization, and alignment under RLHF.
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, 2024). Introducing sub-quadratic spatial relative position encodings for graph neural networks applied to bio-molecular drug discovery.
Inviting prospective doctoral scholars and postdoctoral fellows with strong mathematical foundations in probability, linear algebra, and deep learning. Fully funded fellowships available through IISc and industry research grants.
Core Undergraduate Course (Autumn Semester, 4 Credits). Foundational algorithms, amortized complexity, balanced search structures, graph algorithms, dynamic programming, and systems-level memory efficiency.
Classroom Instruction & Student Supervision
Fostering an open, rigorous, and supportive environment for graduate seminars, doctoral supervision, and international scientific stewardship.
Regularly instructing core graduate and undergraduate courses. Syllabi emphasize foundational proofs, reproducible implementations, and collaborative group term projects.
• Advanced Deep Generative Models (CS 804)
• Algorithmic Foundations of Data (CS 302)
Actively advising doctoral candidates in foundation models, reasoning, and bioinformatics. Weekly one-on-one meetings, lab reading groups, and full conference travel funding.
• 18+ Ph.D. Scholars Mentored
• Prospective student inquiries welcomed via email
Committed to peer review and open science. Serving on international program committees and reviewing for flagship journals and top-tier AI conferences.
• Senior Member IEEE & Fellow IASc
• Area Chair / Reviewer: NeurIPS, ICML, ICLR
Scholarly Engagements & Inquiries
Academic Correspondence
Prospective students, visiting scholars, and academic partners are welcome to reach out.
IISc Bangalore, Karnataka 560012, India
Tuesdays & Thursdays, 2:00 PM – 4:30 PM
Note for Prospective Doctoral Applicants
Please mention your academic transcript GPA, research statement, and links to your code or publications in the initial enquiry message.