Dr. Deepak Subramani

Assistant Professor, IISc Bangalore, India


About Me

The goal of our research is to build holistic science-based data-driven computational solutions to complex engineering and environmental problems. Currently we focus on developing and applying ML/AI techniques and Uncertainty Quantification in Autonomous Underwater Vehicle Routing, Remote Sensing, Climate Change, Environmental Sensing.

#Education #Experience #Research #Recognition #Publications #Contact


#Teaching/Skill Development (New Online Courses Start in January 2021. Apply Soon!)



Nov. 2017

Ph.D. in Mechanical Engineering and Computational Engineering

Massachusetts Institute of Technology

Cambridge, MA


S.M. in Computation for Design and Optimization

Massachusetts Institute of Technology

Cambridge, MA


M.Tech and B.Tech in Mechanical Engineering

Indian Institute of Technology Madras

Chennai, Tamil Nadu, India


Work Experience

Jan 2019 - Present

Assistant Professor

Dept. of Computational and Data Sciences

Indian Institute of Science, Bengaluru

Dec. 2017 - Nov. 2018

Postdoctoral Associate

Advisor: Prof. Pierre F.J. Lermusiaux

Massachuesetts Institute of Technology

Sept. 2012 - Nov. 2017

Graduate Research Fellow

Advisor: Prof. Pierre F.J. Lermusiaux

Massachusetts Institute of Technology

Aug 2011 - June 2012

Research Assistant

Advisor: Prof. C. Balaji

Indian Institute of Technology Madras


Research Interests

Ocean Modeling

Development and applications of stochastic and deterministic primitive equation ocean modeling systems.

Computational Engineering

Development of novel numerical schemes and software systems for computational fluid dynamics, especially stochastic PDEs and parallel computing.

Uncertainty Quantification and Analysis

Probabilistic predictions and optimization utilizing dynamic stohcastic model order reduction schemes (e.g., Dynamically Orthogonal Field Equations).

Optimal Vehicle Guidance

Combining state of the art environmental state forecasts (ocean, atmosphere, traffic etc.) with fundamental planning PDEs for time-, energy-, risk- optimal path planning of ships, AUVs, drones, cars etc.

Data Assimilation

Combining Models and Data for Geosciences and Climate Studies.

Designing for Resource-Contrained Economies

Cost-effective designs of practical and usable engineering solutions to societal problems in resource-contrained economies such as India. e.g., Potential Fishing Zone Advisory for marginal fishermen, disaster mapping and risk mitigation strategies for coastal cities.


Master's and Ph.D. Students

We invite students who are interested in any of the following topics: numerical solution of stochastic partial differential equations, uncertainty quantification, Bayesian and deep learning of dynamical systems, fluid dynamics of the atmosphere and oceans, and path planning of autonomous vehicles in dynamic environments.

Summer Interns

We host only the following type of summer interns: (a) Selected through the Indian Academy of Sciences Summer Research Fellows Program; (b) as part of existing collaboration with PIs; (c) candidates who demonstrate exceptional coding skills above and beyond coursework and online self learning.

Project Assistant

Find the Ad for project assistant positions here. Rolling Application.


Find the Ad for post doctoral positions here. Rolling Application.

General word of advice:

Generic emails stating that you have completed a particular online course does not inspire confidence in professors. It is better to share the git repository of particular projects that you worked on. Faculty around the world recieve 100s of emails from Indian students on a weekly basis and most do not read because all emails look the same. Please improve your skills and show evidence (in the form of code!) that you are skilled. Also remember when you send the same email to everyone that faculty in the same department/institute talk to each other!!!



Courses at CDS, IISc

DS 211: Numerical Optimization

Courses at CCE, IISc

I am offering a completely online semester long (Jan-Aug 2021) course title "Data-Driven Modelling and Optimization" at CCE, IISc as part of the Proficience Program. Please register for Course-6 at CCE Website

Click here for details of the course. Apply Soon!

IISc-TalentSprint Advanced Certification Program

Enroll for the IISc-Talent Sprint Advanced Certification Program in Computational Data Sciences. Website: Link



  • Arcot Ramachandran Young Investigator Award, 2019-2021

    Awarded to promising young assistant professors in the Division of Interdisciplinary Sciences and Engineering, IISc Bangalore

  • SNAME Award in Ocean Engineering, Dec 2017

    Awarded to the top researcher to attend conferences in Ocean Engineering, MIT

  • First Place, Graduate Science, May 2017

    Awarded at the de Florez Competition, MIT

  • Wunsch Foundation Silent Hoist & Crane Award for Outstanding Research, 2017

    Awarded annually to a graduate student in the Department of Mechanical Engineering, MIT

  • Best Presentation Award, Tata Pro Seminar, May 2017

    One among four awarded at the annual Society of Tata Fellows Induction, MIT

  • Best Live Demonstration/Prototype Award, Sept 2016

    Awarded at the Mechanical Engineering Research Symposium, MIT

  • Esteemed Presenter Award: Best Theoretical/Computational Presentation, Sept 2015

    Awarded at the Mechanical Engineering Research Symposium, MIT

  • Honourable Mention Award in Graduate Science, May 2015

    Awarded at the de Florez Design Competition, MIT

  • Best Poster Award, Mar 2015

    Awarded at the Centre for Computational Engineering Symposium, MIT

  • Runner-up Poster Award, Nov 2014

    Awarded at the Dynamic Data Driven System Sciences Conference (DyDESS) 2014

  • Highest GPA Award, 2012

    Awarded to the senior with highest GPA in Mechanical Engineering at IIT Madras

  • MITACS Globalink Scholarship

    Awarded to top 2% of juniors across Indian Universities to undertake research in Canada. Link here.

  • GE Foundation Leader Scholar 2009-11

    Awarded to roughly 200 students among 14 countries.

  • National Talent Scholar, 2005

    Awarded to top 0.01% of among 150,000+ applicants by Government of India through a three stage competitive exam

  • CBSE Merit Certificates, 2005 and 2007

    Awarded to top 0.01% of passed candidates in 10th grade and 12th grade national exams by Central Board of Secondary Education, India



Please see Google Scholar and CV for an updated list

Papers in Peer-Reviewed Journals

  1. Subramani, D.N., Q.J. Wei and P.F.J. Lermusiaux (2018). Stochastic Time Optimal Path Planning in Uncertain Flows. Computer Methods in Applied Mechanics and Engineering, 333, pp 218-237. doi: 10.1016/j.cma.2018.01.004 Submitted PDF
  2. Subramani, D. N., P. J. Haley, Jr., and P. F. J. Lermusiaux (2017). Energy-optimal path planning in the coastal ocean, J. Geophys. Res. Oceans,122, 3981–4003, doi:10.1002/2016JC012231. PDF
  3. Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani, and P. F. J. Lermusiaux (2017). Multiple-Pursuer-One-Evader Pursuit Evasion Game in Dynamic Flow Fields. Journal of Guidance, Control and Dynamics. DOI: 10.2514/1.G002125 PDF
  4. Subramani, D.N. and P.F.J. Lermusiaux (2016). Energy-optimal Path Planning by Stochastic Dynamically Orthogonal Level-Set Optimization. Ocean Modeling, 100, 57–77. DOI: 10.1016/j.ocemod.2016.01.006 PDF
  5. Subramani, D., Chandrasekar, R., Ramanujam, K.S. and C. Balaji (2014). A new ensemble-based data assimilation algorithm to improve track prediction of tropical cyclones. Natural Hazards 71: 659. doi:10.1007/s11069-013-0942-1 PDF
  6. Ramanujam, S., R. Chandrasekar, D.N. Subramani, and C. Balaji (2012) On the Effect of Non-Raining Parameters in Retrieval of Surface Rain Rate Using TRMM PR and TMI Measurements PDF

Under review or preparation

  1. Subramani, D.N. and P.F.J. Lermusiaux (2019). Risk Optimal Path Planning under Uncertainty. Under Review. Submitted Manuscript
  2. Subramani, D.N., P.J. Haley and P.F.J. Lermusiaux (2019). Stochastic Dynamically Orthogonal Primitive Equations: Theory and Applications. To Be Submitted. Abstract

Proceedings of Peer-Reviewed Conferences

  1. Subramani, D. N., P. F. J. Lermusiaux, P.J. Haley, Jr., C. Mirabito, S. Jana, C. S. Kulkarni, A. Girard, D. Wickman, J. Edwards, J. Smith, 2017. Time-Optimal Path Planning: Real-Time Sea Exercises. In: Oceans '17 MTS/IEEE Aberdeen, 19-22 June 2017, In press.PDF
  2. Subramani, D. N., Lolla, T., Haley Jr., P. J., Lermusiaux, P. F. J., 2015. A stochastic optimization method for energy-based path planning. In: Ravela, S., Sandu, A. (Eds.), DyDESS 2014. Vol. 8964 of LNCS. Springer, pp. 347-358. PDF
  3. Mirabito, C., D.N. Subramani, T. Lolla, P.J. Haley, Jr., A. Jain, P.F.J. Lermusiaux, C. Li, D.K.P. Yue, Y. Liu, F.S. Hover,N. Pulsone, J. Edwards, K.E. Railey, and G. Shaw, 2017. Autonomy for Surface Ship Interception.In: Oceans '17 MTS/IEEE Aberdeen, 19-22 June 2017, In Press. PDF
  4. Edwards, J., J. Smith, A. Girard, D. Wickman, P.F.J. Lermusiaux, D.N. Subramani, P.J. Haley, Jr., C. Mirabito, C.S. Kulkarni, and,S. Jana, 2017. Data-driven Learning and Modeling of AUV Operational Characteristics for Optimal Path Planning. In: Oceans '17 MTS/IEEE Aberdeen, 19-22 June 2017, In Press.PDF
  5. Sun, W., P. Tsiotras, T. Lolla, D. N. Subramani, and P. F. J. Lermusiaux, 2017. Pursuit-Evasion Games in Dynamic Flow Fields via Reachability Set Analysis. 2017 American Control Conference. In press.PDF



CDS 321, Nilgiri Marg,
Indian Institute of Science, Bengaluru 560012
Mobile Number
plus nine one, eight one three nine eight eight three seven six nine
deepakns [at] iisc [dot] ac [dot] in