Multidisciplinary Simulation, Estimation, and Assimilation Systems (MSEAS) » BIOMAPS

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BIOMAPS Supported Publications

2023

Gupta, A. and P.F.J. Lermusiaux, 2023. Bayesian Learning of Coupled Biogeochemical-Physical Models. Progress in Oceanography 216, 103050. doi:10.1016/j.pocean.2023.103050

2020

Haley, Jr., P.J., A. Gupta, C. Mirabito, and P. F. J. Lermusiaux, 2020. Towards Bayesian Ocean Physical-Biogeochemical-Acidification Prediction and Learning Systems for Massachusetts Bay. In: OCEANS '20 IEEE/MTS, 5-30 October 2020, pp. 1-9, doi:10.1109/IEEECONF38699.2020.9389210

2019

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

MIT THESES

Gupta, A., 2022. Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2022.