Deepak N. Subramani
Deepak N. Subramani
Assistant Professor, Computational and Data Sciences, Indian Institute of Science Bangalore
Verified email at - Homepage
Cited by
Cited by
Energy-optimal path planning by stochastic dynamically orthogonal level-set optimization
DN Subramani, PFJ Lermusiaux
Ocean Modelling 100, 57-77, 2016
A future for intelligent autonomous ocean observing systems
PFJ Lermusiaux, DN Subramani, J Lin, CS Kulkarni, A Gupta, A Dutt, ...
Journal of Marine Research 75 (6), 765-813, 2017
Multiple-pursuer/one-evader pursuit–evasion game in dynamic flowfields
W Sun, P Tsiotras, T Lolla, DN Subramani, PFJ Lermusiaux
Journal of guidance, control, and dynamics 40 (7), 1627-1637, 2017
Optimal planning and sampling predictions for autonomous and lagrangian platforms and sensors in the Northern Arabian Sea
PF Lermusiaux, PJ Haley Jr, S Jana, A Gupta, CS Kulkarni, C Mirabito, ...
Oceanography 30 (2), 172-185, 2017
A stochastic optimization method for energy-based path planning
DN Subramani, T Lolla, PJ Haley, PFJ Lermusiaux
International Conference on Dynamic Data-Driven Environmental Systems …, 2014
Energy‐optimal path planning in the coastal ocean
DN Subramani, PJ Haley Jr, PFJ Lermusiaux
Journal of Geophysical Research: Oceans 122 (5), 3981-4003, 2017
Stochastic time-optimal path-planning in uncertain, strong, and dynamic flows
DN Subramani, QJ Wei, PFJ Lermusiaux
Computer Methods in Applied Mechanics and Engineering 333, 218-237, 2018
Time-Optimal Path Planning: Real-Time Sea Exercises
DN Subramani, PFJ Lermusiaux, PJ Haley Jr, C Mirabito, S Jana, ...
Oceans’ 17 MTS/IEEE Conference, 2017
Risk-optimal path planning in stochastic dynamic environments
DN Subramani, PFJ Lermusiaux
Computer Methods in Applied Mechanics and Engineering 353, 391-415, 2019
Probabilistic regional ocean predictions: stochastic fields and optimal planning
DN Subramani
Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018
Pursuit-evasion games in dynamic flow fields via reachability set analysis
W Sun, P Tsiotras, T Lolla, DN Subramani, PFJ Lermusiaux
2017 American Control Conference (ACC), 4595-4600, 2017
Real-time sediment plume modeling in the Southern California Bight
CS Kulkarni, PJ Haley, PFJ Lermusiaux, A Dutt, A Gupta, C Mirabito, ...
OCEANS 2018 MTS/IEEE Charleston, 1-10, 2018
Data-driven learning and modeling of AUV operational characteristics for optimal path planning
JR Edwards, J Smith, A Girard, D Wickman, PFJ Lermusiaux, ...
OCEANS 2017-Aberdeen, 1-5, 2017
On the effect of non-raining parameters in retrieval of surface rain rate using TRMM PR and TMI measurements
S Ramanujam, C Radhakrishnan, D Subramani, B Chakravarthy
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012
Fish modeling and Bayesian learning for the Lakshadweep Islands
A Gupta, PJ Haley, DN Subramani, PFJ Lermusiaux
OCEANS 2019 MTS/IEEE SEATTLE, 1-10, 2019
A new ensemble-based data assimilation algorithm to improve track prediction of tropical cyclones
D Subramani, R Chandrasekar, KS Ramanujam, C Balaji
Natural hazards 71 (1), 659-682, 2014
Graph-search and differential equations for time-optimal vessel route planning in dynamic ocean waves
G Mannarini, DN Subramani, PFJ Lermusiaux, N Pinardi
IEEE Transactions on Intelligent Transportation Systems 21 (8), 3581-3593, 2019
Energy optimal path planning using stochastic dynamically orthogonal level set equations
DN Subramani
Massachusetts Institute of Technology, Computation for Design and …, 2014
Clustering of massive ensemble of vehicle trajectories in strong, dynamic and uncertain ocean flows
A Dutt, DN Subramani, CS Kulkarni, PFJ Lermusiaux
OCEANS 2018 MTS/IEEE Charleston, 1-7, 2018
Time-optimal multi-waypoint mission planning in dynamic environments
DL Ferris, DN Subramani, CS Kulkarni, PJ Haley, PFJ Lermusiaux
OCEANS 2018 MTS/IEEE Charleston, 1-8, 2018
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