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IN-BDA Supported Publications
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Charous, A. and P.F.J. Lermusiaux, 2022. Stable Rank-adaptive Dynamically Orthogonal Runge-Kutta Schemes for the Dynamical Low-rank Approximation. SIAM Journal on Numerical Analysis, sub-judice.
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Gupta, A. and P.F.J. Lermusiaux, 2022. Bayesian Learning of Coupled Biogeochemical-Physical Models. Progress in Oceanography, sub-judice.
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Humara, M.J., W.H. Ali, A. Charous, M. Bhabra, and P.F.J. Lermusiaux, 2022. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Differential Equations. In: OCEANS '22 IEEE/MTS Hampton Roads, 17-21 October 2022, in press.
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Ali, W.H., Y. Gao, C. Foucart, M. Doshi, C. Mirabito, P.J. Haley, and P.F.J. Lermusiaux, 2022. High-Performance Visualization for Ocean Modeling. In: OCEANS '22 IEEE/MTS Hampton Roads, 17-21 October 2022, in press.
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Feppon, F. and P.F.J. Lermusiaux, 2022. Rigid Sets and Coherent Sets in Realistic Ocean Flows. Nonlinear Processes in Geophysics, sub-judice. doi:10.5194/npg-2022-1
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Charous, A., and P.F.J. Lermusiaux, 2022. Dynamically Orthogonal Runge-Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation. SIAM Journal on Scientific Computing, sub-judice.
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Jana, S., A. Gangopadhyay, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2022. Sound Speed Variability over Bay of Bengal from Argo Observations (2011-2020). In: OCEANS 2022 Chennai, February 21-24, 2022, pp. 1-8. doi:10.1109/OCEANSChennai45887.2022.9775509
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Kulkarni, C.S., A. Gupta, and P.F.J. Lermusiaux, 2020. Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems. In: Darema, F., E. Blasch, S. Ravela, and A. Aved (eds.), Dynamic Data Driven Application Systems. DDDAS 2020. Lecture Notes in Computer Science 12312, 208–216. doi:10.1007/978-3-030-61725-7_25
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Gupta, A., P.J. Haley, D.N. Subramani, and P.F.J. Lermusiaux, 2019. Fish Modeling and Bayesian Learning for the Lakshadweep Islands. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962892
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Lermusiaux, P.F.J., M. Doshi, C.S. Kulkarni, A. Gupta, P.J. Haley, Jr., C. Mirabito, F. Trotta, S.J. Levang, G.R. Flierl, J. Marshall, T. Peacock, and C. Noble, 2019. Plastic Pollution in the Coastal Oceans: Characterization and Modeling. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962786
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Ali, W.H., M.S. Bhabra, P.F.J. Lermusiaux, A. March, J.R. Edwards, K. Rimpau, and P. Ryu, 2019. Stochastic Oceanographic-Acoustic Prediction and Bayesian Inversion for Wide Area Ocean Floor Mapping. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962870
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Ali, W.H., M.H. Mirhi, A. Gupta, C.S. Kulkarni, C. Foucart, M.M. Doshi, D.N. Subramani, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2019. SeaVizKit: Interactive Maps for Ocean Visualization. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962794
- Bhabra, M.S., 2021. Harvest-Time Optimal Path Planning in Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering and Computational Science & Engineering, September 2021.
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Kulkarni, C.S., 2021. Prediction, Analysis, and Learning of Advective Transport in Dynamic Fluid Flows. PhD Thesis, Massachusetts Institute of Technology, Mechanical Engineering, February 2021.
- Charous, A., 2021. High-Order Retractions for Reduced-Order Modeling and Uncertainty Quantification. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, February 2021.
- Humara, M.J., 2020. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Equations. SM Thesis, Massachusetts Institute of Technology, Joint Program in Applied Ocean Science and Engineering, May 2020.