Chinmay is a graduate student pursuing a doctorate in Mechanical Engineering. His current work involves the development of intelligent machines and methods to learn and predict the transport of oceanic pollutants (debris and nutrients on a global scale. He spent four wonderful years at IIT Bombay, India from 2011 until 2017 and received a Master’s in Mechanical Engineering from MIT in 2017. Beyond research, he is also an enthusiastic pilot who is always willing to explore beauty of New England. His other hobbies include endurance biking and playing the drums. He is currently working on:

• Advanced Lagrangian Predictions for Hazards Assessments (NSF-ALPHA)
• Red Sea Initiative
• Digging Deep: An integrated approach for assessing the impacts of deep-sea mining
• Long-duration Environmentally-adaptive Autonomous Rigorous Naval Systems (LEARNS)
• Northern Arabian Sea Circulation – autonomous research: Optimal Planning Systems (NASCar-OPS)

His publications so far include:

• Kulkarni, C.S., P.J. Haley, Jr., P. F. J. Lermusiaux, A. Dutt, A. Gupta, C. Mirabito, D.N. Subramani, S. Jana, W.H. Ali, T. Peacock, C.M. Royo, A. Rzeznik, and R. Supekar, 2018. Real-Time Sediment Plume Modeling in the Southern California Bight. In: Oceans ’18 MTS/IEEE Charleston, 22-25 October 2018.
• Dutt, A., D.N. Subramani, C.S. Kulkarni, and P. F. J. Lermusiaux, 2018. Clustering of Massive Ensemble of Vehicle Trajectories in Strong, Dynamic and Uncertain Ocean Flows. In: Oceans ’18 MTS/IEEE Charleston, 22-25 October 2018.
• Ferris, D.L., D.N. Subramani, C.S. Kulkarni, P.J. Haley, and P.F.J. Lermusiaux, 2018. Time-Optimal Multi-Waypoint Mission Planning in Dynamic Environments. In: Oceans ’18 MTS/IEEE Charleston, 22-25 October 2018.
• Coulin, J., P. J. Haley, Jr., S. Jana, C.S. Kulkarni, P. F. J. Lermusiaux, T. Peacock, 2017. Environmental Ocean and Plume Modeling for Deep Sea Mining in the Bismarck Sea. In: Oceans ’17 MTS/IEEE Anchorage, 1-10, 18-21 September 2017.
• Lermusiaux, P.F.J., P.J. Haley Jr., S. Jana, A. Gupta, C.S. Kulkarni, C. Mirabito, W.H. Ali, D.N. Subramani, A. Dutt, J. Lin, A. Y. Shcherbina, C. M. Lee, and A. Gangopadhyay, 2017. Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography 30(2):172–185, https://doi.org/10.5670/oceanog.2017.242.
• Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035
• 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, 1-5, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084779
• 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, 1-10, 19-22 June 2017, DOI: 10.1109/OCEANSE.2017.8084776