About Me
deepakns@iisc.ac.in | (O): +91-80-2293 2058 | cds.iisc.ac.in/faculty/deepakns Address: Dept. of Computational and Data Sciences, Room No. 321, Indian Institute of Science, Bengaluru 560012
Experience
Indian Institute of Science, Bangalore, India
Associate Professor, Department of Computational and Data Sciences — QUEST Lab, Division of Interdisciplinary Sciences, IISc 31 Dec 2024 – Present
- INR 1.5 crore in new research funding in 2025
- 5 PhD Students Graduated, 5 Funded Projects Completed
- 8 Journal and 2 Conference (A*) Publications since 2025
Assistant Professor, Department of Computational and Data Sciences 31 Dec 2018 – 30 Dec 2024
- 10 Journal and 11 Conference Publications (3 A*/A) in 2019–2024
- INR 4.5 crore in research funding raised as PI (7.5 crore incl. co-PI) in 2019–2024
- Average teacher rating of 4.7/5 across 12 PG courses at IISc
Massachusetts Institute of Technology, Cambridge MA, USA
Postdoctoral Research Associate, Advisor: Prof. Pierre F.J. Lermusiaux 2017 – 2018
- Developed a data-driven AI and IoT tool for efficient and sustainable fishing
- AI for optimal ship routing
Graduate Research Student, Advisor: Prof. Pierre F.J. Lermusiaux 2012 – 2017
- Optimal path planning in strong, dynamic and uncertain environments
- Uncertainty quantification and probabilistic regional ocean predictions
Software Development
- Conditional Diffusion Model for Time Series Forecasting (PyTorch)
- Post-trained Language and Reasoning Models for Educational Application (PyTorch)
- Neural Operators for SAR Object Detection (PyTorch)
- Neural Operators for Ocean State Forecasting (PyTorch)
- Stochastic Path Planner for Marine and Aerial Vehicles (GPU-CUDA)
- Probabilistic Regional Ocean Forecasting System (Multi-core CPU implementation using FORTRAN)
- PINN Model for Turbulence Simulation (TensorFlow)
- Transformer Neural Operator for IBVPs (TensorFlow)
- Generative Optimal Path Planner (PyTorch)
- Agent Based Models for Human Wildlife Conflict (Python)
Education
Massachusetts Institute of Technology, Cambridge, MA
Ph.D. in Mechanical Engineering and Computation — Nov. 2017 (Defended); Feb 2018 (Degree date) Thesis: Probabilistic Regional Ocean Predictions: Stochastic Fields and Optimal Path Planning Major: Computational Science and Engineering Minors: Stochastic Systems; Ocean Sciences; Technology and Public Policy; Development in Resource Constrained Economies (set of three courses each)
M.S. in Computation for Design and Optimization — 2014, GPA: 4.8/5 Thesis: Energy Optimal Path-Planning using Dynamically Orthogonal Level-Set Optimization
Indian Institute of Technology Madras, Chennai, India
M.Tech and B.Tech in Mechanical Engineering — 2012, GPA: 9.11/10 Master’s specialization: Energy Technology; Minor: Operations Research Thesis: Profile Match-up Algorithms for Geophysical Retrievals and Their Application for Data Assimilation
Awards
| Award | Year |
|---|---|
| IISc Award for Excellence in Teaching, Indian Institute of Science, Bengaluru | 2022 |
| Arcot Ramachandran Young Investigator Award, Division of Interdisciplinary Research, IISc Bengaluru | 2019 – 2021 |
| Postdoctoral and Graduate Fellowship, MIT-Tata Center | 2015 – 2018 |
| SNAME Graduate Travel Award in Ocean Engineering, Dept. of Mechanical Engineering, MIT | Dec. 2017 |
| Wunsch Foundation Silent Hoist & Crane Award for Outstanding Research, Dept. of Mechanical Engineering, MIT | May 2017 |
| First Place in Graduate Science, De Florez Design Competition, MIT | May 2017 |
| Best Demonstration/Prototype Award, Mechanical Engineering Research Exhibition 2016, MIT | Sept. 2016 |
| Esteemed Presenter Award for Best Computational Research, Mechanical Engineering Research Exhibition 2015, MIT | Sept. 2015 |
| Best Poster Award, Center for Computational Engineering Symposium, MIT | Mar. 2015 |
| Runner-up Poster Award, DyDESS 2014 Conference, Cambridge, MA | Nov. 2014 |
| Institute Merit Prize (Highest GPA in Energy Technology), IIT Madras | 2012 |
| GE Foundation Award, GE Foundation Scholar-Leaders Program (Global) | 2009 – 2011 |
| National Talent Search (NTS) Scholar, India | 2005 |
Research (PhD/Master’s) Supervision
Graduated Research Students (as sole advisor)
- Deep Learning for Satellite Oceanography (Devyani Lambhate, 2021, M.Tech (Research))
- Polynomial Chaos-Gaussian Mixture Model Filtering: Theory, Schemes and Applications (Srikanth Avasarala, 2022, M.Tech (Research))
- Fast and Scalable Algorithms for Intelligent Routing of Autonomous Marine Vehicles (PhD, Rohit Chowdhury, Graduated 2024)
- Indian Summer Monsoon Onset Prediction (PhD, Akanksha Rajak, Graduated 2025)
- Salinity Variability in the Andaman Sea: Current Status and Impact of Climate Change (PhD, P. Abhishek, Graduated 2025)
- Physics Informed Neural Operators for Out of Distribution Generalization (PhD, Sumanth Boya, Graduated 2026)
- Ecological Digital Twins: Applications in Human-Wildlife Conflict (PhD, P. Anjali, Graduated 2026)
Ongoing Ph.D. Students (as sole advisor)
- Physics-Guided Neural Operators for Geoscientific Applications (PhD, Rishi J, Joined 2022)
- Turbulent simulations with PINNs (PhD, Azhar, Joined 2022)
- Explainable AI for Forecasting Indian Summer Monsoon Rain and Extremes (PhD, Apoorva Dinesh Singh, Joined 2022)
- AI-enabled Personalized Adaptive Learning Systems (PhD, Nicy Scaria, Joined 2022)
- Neural Operators for Machine Perception (PhD, Mothish GVS, Joined 2024)
Sponsored Research
| Project | Amount | Sponsor / Period / Role |
|---|---|---|
| AI for Heat Exchanger Application | 90 Lakhs | Shell India Technology Limited, 2025 – 2026 [PI] |
| Development of a Machine Learning tool for the Prediction of City Scale Extreme Rainfall Events using a Hybrid Physics-AI Approach | 43.3 Lakhs | ISRO NRSC Mission Mode Project, 2025 – 2027 [PI] |
| Fast and Scalable Algorithms for On-Board Routing of Autonomous Agents in Stochastic Dynamic Environments | 37 Lakhs | SERB, 2022 – 2025 [PI] |
| MODES: Machine Learning for Ocean Data Assimilation, Estimation and Simulation | 57 Lakhs | Ministry of Earth Sciences, 2022 – 2025 [PI] |
| WAKE-NET: A Fast and Scalable Physics Informed Neural Network for Wind Farm Simulation | 1.92 Crores | Shell India Technology Limited, 2022 – 2025 [PI] |
| INSPIRE Faculty Fellowship | 35 Lakhs | Dept. of Science and Technology, Govt. of India, Jan 2019 – Jan 2024 [PI] |
| Deep Learning for EV Fault Detection | 11 Lakhs | Altigreen Propulsion Private Limited, 2022 – 2024 [PI] |
| DECOVID: Data-assimilation and Error Correction Of Viral Infectious Diseases Models | 5.5 Lakhs | Dept. of Science and Technology, SERB MATRICS Covid Special Call, July 2020 – July 2021 [PI] |
| Arcot Ramachandran Young Investigator Award | 6 Lakhs | Indian Institute of Science, Bengaluru, Oct 2019 – Oct 2021 [PI] |
| Data Assimilation for Ship Routing | 5.56 Lakhs | Maersk Digital Center, Bangalore, India, Jan 2019 – Jul 2020 [PI] |
| SPADE: Stochastic Parmoon for Analysis, Design and Estimation | 98.4 Lakhs | Ministry of Human Resource Development STARS program, Mar 2020 – Mar 2023 [Co-PI; 50% Role] |
| Hardware Aware Algorithms in Scientific Computing | 1.6 Crores | UGC-Indo German Partnership, 2021 – 2025 [Co-PI; 25% Role] |
| A BRICS Predicted Ocean Roadmap And Demonstration of Model Validations, Intercomparisons, and Applications for Sustainable Management of the coastal oceans (PARADIGM) | 1.02 Crores | DST-BRICS Initiative [Co-Investigator] |
Professional Activity
- Topic Editor, Geoscientific Model Development, European Geosciences Union
- PC Member, European Conference on Artificial Intelligence
- Reviewer for AI Conferences: NeurIPS, IJCAI, ARR, ICRA
- Reviewer for Journals: Robotics and Autonomous Systems, International Journal of Control, Automation and Systems, IEEE Journal of Cybernetics, Journal of Computational and Nonlinear Dynamics, Dynamic Data-Driven Environmental System Sciences Conference, International Journal of Thermal Sciences, The Sea, Current Science, Sadhana, Remote Sensing of the Environment, IEEE TGRS
- Expert Panel Member for Data Science at VIT-AP Recruitment
- Board of Studies Member, Data Science Program, Ramaiah University of Applied Sciences
- Board of Studies Member, Periyar University Mathematics Department
- Expert panel member on mathematical modelling of infectious disease spread — podcasts, news discussion, conferences
- More than 40 invited lectures delivered at universities, colleges, and industry labs
- Participant at the NASA JPL-Caltech Climate Summer School 2017
- Received the Kaufman Teaching Certificate in June 2015
- Have taught more than 2000 industry working professionals upskilling courses on data science and artificial intelligence with an average teacher rating of 4.92/5
Publications
Google Scholar Profile: https://scholar.google.com/citations?user=d-V0TTwAAAAJ&hl=en As on 04 Feb 2026 — Citations: 1202, h-index: 18, i10-index: 29
For the complete, themed publication list, see Publications on the QUEST Lab site. The one patent from this body of work is listed below.
Patents
- Lermusiaux, Pierre, Deepak Narayanan Subramani, Chinmay Kulkarni, and Patrick Haley. “Route determination in dynamic and uncertain environments.” U.S. Patent 11,435,199, issued September 6, 2022.