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 group with Prof. Pierre Lermusiaux.

My research focuses on developing efficient computational and stochastic tools to forecast and infer ocean and sea ice dynamics from sparse, gappy and noisy observations. I work on generative modeling, scientific deep learning, reduced order modeling, and Bayesian learning to enhance our understanding of Earth's complex fluid dynamical systems.

Check out the Projects page to see my work.

Publications

Narayanan, A., Sadam A., and Lermusiaux P.F.J. (2025) "Guided unconditional and conditional generative models for superresolution and inference of quasi-geostrophic turbulence". Journal of Advances in Modeling Earth Systems. Sub-judice. [doi]

Narayanan, A., Sadam A., and Lermusiaux P.F.J. (2025) "Evaluation of analytical turbulence closures for quasi-geostrophic ocean flows with coastal boundaries". OCEANS 2025 IEEE/MTS Great Lakes, Chicago, September 2025. In press.

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.

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

"Physics-inspired neural architectures for forecasting fluid and oceanic flows", 18th U. S. National Congress on Computational Mechanics, Chicago, Illinois

"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.

Fellowships & Awards

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