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 broadly focuses on developing and applying efficient stochastic computational and deep learning tools for forecasting and inference of ocean and sea ice dynamics from coarse, sparse, 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 some of my work.

Publications

Submitted/ In preparation

Suresh Babu, A.N., Sadam A., and Lermusiaux, P.F.J. (2026). Modified Dynamic Mixed Subgrid-scale Models for Geophysical Flows: Forced Two-Dimensional and β-plane Turbulence. Physical Review Fluids. Sub-judice.

Suresh Babu, A.N., Sadam A., and Lermusiaux, P.F.J. (2026). Super-resolution-based stochastic generative closures for forced two-dimensional and β-plane turbulence. In prep.

Peer-reviewed publications

Suresh Babu, A.N., Sadam A., and Lermusiaux P.F.J. (2026) Guided unconditional and conditional generative models for superresolution and inference of quasi-geostrophic turbulence. Journal of Advances in Modeling Earth Systems, 18, e2025MS005324. [doi]

Suresh Babu, A.N., Sadam A., and Lermusiaux P.F.J. (2025) Evaluation of analytical turbulence closures for quasi-geostrophic ocean flows with coastal boundaries. In OCEANS '25 IEEE/MTS Great Lakes, Chicago, September 2025. [doi]

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

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

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

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

Conferences & Invited Talks

Invited Talks

Generative models for super-resolution-based inference and subgrid-scale modeling of geophysical turbulence. NOAA Coastal Ocean Modeling Science Seminar, 2026.

Guided unconditional and conditional generative models for super-resolution and inference of geophysical flows. NASA Ocean AI Working Group Meeting, 2025.

Conference Presentations

Generative models for super-resolution & inference of Quasi-Geostrophic turbulence and oceanic flows. 2026 Ocean Sciences Meeting, Glasgow, Scotland.

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 & Bayesian learning for sea ice dynamics. 2024 Ocean Sciences Meeting, New Orleans, Louisiana.

Fellowships & Awards

• Wunsch Silent Hoist & Crane Award for Outstanding Graduate Research (2026)
• 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)