| 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. |
| Jun 01, 2026 | Our paper “A neural operator emulator for coastal and riverine shallow water dynamics” has been published in the Journal of Geophysical Research:Machine Learning and Computation. It introduces MITONet, a neural operator emulator framework for modeling shallow water flows in realistic coastal and riverine environments. |
| 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. |
| Jun 01, 2022 | Giving a talk at the Computational Methods in Water Resources 2022 (CMWR) meeting on Deep Learning Methods for Reduced Order Modeling of Convection-Dominated Environmental Hydrodynamics. |
| May 01, 2022 | Attending the HydroML Symposium on Big Data Machine Learning in Hydrology and Water Resources at Penn State University. |
| Feb 01, 2022 | Giving an invited talk on Data-Driven Reduced Order Modeling for Applications in Computational Hydrology in the Applied Math Seminar of the Department of Mathematics at Texas A&M University Corpus-Christi. |