Sourav Dutta
I am currently a Research Associate in the Computational Hydraulics Group at the Oden Institute for Computational Engineering & Sciences of the University of Texas at Austin, working with Prof. Clint Dawson. Previously, I was an ORISE postdoctoral fellow at the Coastal & Hydraulics Laboratory of the U.S. Army Engineer Research and Development Center, where I worked with Dr. Matthew Farthing. I received my Ph.D. in Mathematics from Texas A&M University in 2017, supervised by Prof. Prabir Daripa.
My research interests lie at the intersection of classical, physics-based computational methods and modern data-driven, machine learning-based techniques with applications to computational science and engineering. I am particularly interested in exploring ways to develop efficient and robust numerical approximations of real-world, large scale environmental flow problems by combining physical principles with modern machine learning algorithms, either by infusing physics-based regularization in the learning trajectory or by modeling the underlying differential operator.
- Scientific Machine Learning
- Model Order Reduction
- Computational Hydrology
- Uncertainty Quantification
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Ph.D. in Mathematics, 2017
Texas A&M University
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B.Sc. & M.Sc. in Mathematics & Computing, 2010
Indian Institute of Technology Kharagpur
Work Experience
Oden Institute for Computational Engineering & Sciences, UT Austin
Research Associate
Research Fellow
U.S. Army Engineer Research & Development Center (ERDC)
ORISE Postdoctoral Fellow
News
| Aug 01, 2026 | Delighted to announce a new 3-year award from the National Science Foundation’s AI and Geosciences program, for the project “Collaborative Research: CAIG: Improving the understanding of coastal groundwater and ocean exchange using machine learning.” The project is led by Dr. Jonghyun Harry Lee (University of Hawai’i at Mānoa) as PI, and I will serve as co-PI leading the UT Austin team on developing neural-operator-based surrogate models for coastal groundwater–ocean exchange, including seawater intrusion and submarine groundwater discharge. Award runs September 2026 through August 2029. |
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| May 01, 2026 | Attending the HydroML 2026 Symposium during May 19-21, 2026, at the Oden Institute, and presenting our work on developing MITONet, a neural operator emulator for shallow water flows as well as related DeepONet-based surrogate models for spectral wave models. Also, attending USNC-TAM26, the 20th U.S. National Congress on Theoretical and Applied Mechanics, in Pasadena California during June 21-25, 2026, and presenting some preliminary results of an ongoing study on developing neural operator emulators for salt water intrusion in coastal aquifers. |
| Oct 01, 2022 | I have started my new position as Research Fellow at the Oden Institute for Computational Engineering & Sciences of The University of Texas at Austin. I will be working with Prof. Clint Dawson and other esteemed members of the Computational Hydraulics Group. Looking forward to an exciting and productive time ahead. |
| Sep 01, 2022 | Co-organizing a minisymposium on Machine Learning and Data-Driven Methods for Forward and Inverse Problems along with Matthew Farthing and Dhruv Patel at the SIAM Mathematics of Data Science 2022 meeting in San Diego, CA. Session 1 Session 2 |
| Jul 01, 2022 | Giving a talk on Physics-Aware Machine Learning Model for Predicting Coastal Hydrodynamics at the SIAM Annual Meeting 2022 in Pittsburgh, PA. |
