Anantha Narayanan Suresh Babu

About Me

Hello and welcome! I am a PhD candidate at MIT, majoring in Computational Science and Engineering (CSE) and Mechanical Engineering (MechE). I work in the MSEAS Lab.

My research interests are broadly in reduced order modeling, uncertainty quantification, Bayesian learning, and scientific deep learning for fluid and oceanic flows, and sea ice dynamics. My work focuses on utilizing efficient computational and stochastic models to simulate these rapidly evolving phenomena and enhance our understanding of Earth's complex fluid dynamical systems.

Check out my Projects page for additional details.

Fellowships & Awards

• MIT Mechanical Engineering MathWorks Fellowship (2023-2024), (2024-2025)
• Martin A. Abkowitz International Travel Fellowship in Ocean Engineering (2023)
• Homer A. Burnell MIT School of Engineering Presidential Graduate Fellowship (2021-2022)

Publications

Narayanan, A., and Lermusiaux, P.F.J. (2024). "Stochastic sea ice modeling with the Dynamically Orthogonal equations: Theory and applications". In preparation.

Narayanan, A., and Lermusiaux, P.F.J. (2024). "Neural closure modeling for 2D fluid dynamical systems and geophysical flows". In preparation.

Lermusiaux, P.F.J., Narayanan, A., et al. (2024). "Review of machine learning methods for partial differential equations in fluid and ocean dynamics". In preparation.

Rajagopal, E., Narayanan, A., Ryu, T., Haley, Jr., Mirabito, C., and Lermusiaux, P.F.J. (2023). "Evaluation of deep learning models towards ocean forecasting". OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. [doi]

Narayanan, A., Rajan, A., Pramanik, R., and Arockiarajan, A. (2019). "A thermodynamically-consistent phenomenological viscoplastic model for hydrogels". Materials Research Express, 6(8), 085418. [doi]

Pramanik, R., Narayanan, A., Rajan, A., et al. (2019). "Theoretical modeling and experimental characterization of transversely isotropic hydrogels". International Journal of Engineering Science, 144, 103144. [doi]

Rajan, A., Pramanik, R., Narayanan, A., and Arockiarajan, A. (2019). "Mechanics of viscoelastic buckling in slender hydrogels". Materials Research Express, 6(5), 055320. [doi]

Conferences

Presentations

"Stochastic modeling & learning for sea ice dynamics", 2024 SIAM Conference on Mathematics of Planet Earth, Portland, Oregon.

"Probabilistic modeling & Bayesian learning for coupled sea ice-ocean dynamics", 17th U.S. National Congress on Computational Mechanics, Albuquerque, New Mexico.

"Bayesian data assimilation & learning for coupled sea ice-ocean systems", 2023 SIAM Conference on Mathematical & Computational Issues in the Geosciences, Bergen, Norway.

Posters

"Probabilistic modeling and Bayesian learning for sea ice dynamics", 2024 Ocean Sciences Meeting, New Orleans, Louisiana.

"Neural closure model for Dynamic Mode Decomposition forecasts", 2021 Model Reduction and Surrogate Modeling Conference, Berlin, Germany.