Dr. Deepak Subramani

Assistant Professor, IISc Bangalore, India

Postdoc, MIT

Ph.D, Mechanical Engineering and Computation, MIT

About Me

From Jan 2019, I have joined IISc Bangalore as Assistant Professor in the Department of Computational and Data Sciences. Click here for my transition webpage.

I am a researcher with interests spanning the fields of ocean and atmospheric sciences, climate change, ship routing, development in resource constrained economies, public policy and education. I focus on developing fundamental knowledge and utilizing those to build usable systems that solve practical problems. During my Ph.D., I have developed a probabilistic regional ocean prediction system, optimal vehicle guidance schemes, and advisory services for sustainable fisheries management in India. Until Dec 2018, I am a post-doctoral associate at MIT working on bringing-to-market the inventions that I completed during my Ph.D.


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

Dec. 2017 - Present

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

May 2011 - July 2011

Summer Research Scholar

Advisor: Prof. Timothy Chan

University of Toronto

May 2010 - July 2010

Summer Intern

Advisor: Dr. Manoharan

GE Global Research, John F. Welch Technology Center, Bangalore

May 2009 - July 2009

Summer Research Fellow

Advisor: Prof. R.L. Karandikar

Indian Institute of Science, Bangalore

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.


  • 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. Link here

  • 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


Papers in Peer-Reviewed Journals

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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., Q.J. Wei and P.F.J. Lermusiaux (2017). Stochastic Time Optimal Path Planning in Uncertain Flows. Computer Methods in Applied Mechanics and Engineering. Sub-judice. Submitted PDF
  2. Subramani, D.N. and P.F.J. Lermusiaux (2017). Risk Optimal Path Planning under Uncertainty. To Be Submitted. Abstract
  3. Subramani, D.N., P.J. Haley and P.F.J. Lermusiaux (2017). 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


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