| Sep 15, 2026 | Invited talk on LiLaN: A linear latent network approach for fast simulation of stiff ODEs at Pasteur Labs , September 15, 2026. |
| Jul 15, 2026 | Our new paper “Topological derivative approach for deep neural network architecture adaptation” has been accepted for publication in SIAM Journal on Scientific Computing. |
| Apr 25, 2026 | Our new work titled “From an Elementary Proof of Error Representation for Hermite Quadrature to a Rediscovery of Legendre Polynomials and Rodrigues Formula” is available in arXiv. |
| Apr 1, 2026 | I successfully defended my PhD thesis titled “Computational Mathematics Approaches to Architecture Design of Deep Neural Networks.” My committee members included Dr. Tan Bui-Thanh, Dr. Thomas J. R. Hughes, Dr. Clint Dawson, and Dr. Qiang Liu. |
| Jan 1, 2026 | Our new paper “A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration” is available in arXiv. |
| Oct 24, 2024 | Won the best poster award at the Workshop on Scientific Machine Learning, October 2024. The poster talks about “approaches for deep neural network architecture adaptation”. Poster is provided HERE. |
| Aug 20, 2024 | High level details on the work conducted at Lawrence Livermore National Laboratory, USA as a part of my summer internship is provided HERE. |
| Jun 20, 2024 | Received the Warren A. and Alice L. Meyer Endowed Scholarship in Engineering from the Cockrell School of Engineering, UT Austin, 2024-2025, nominated by the Department of Aerospace Engineering & Engineering Mechanics. |