| Oct 14, 2026 | Upcoming talk: “On the Approximation Power of LiLaN for Simulating Stiff Nonlinear ODEs” at AstroAI-Lab, Heidelberg University, November 4, 2026. |
| Sep 15, 2026 | Invited talk on LiLaN: A linear latent network approach for fast simulation of stiff ODEs at Pasteur Labs , September 15, 2026. |
| Sep 1, 2026 | Our repository, ADABO: A Machine Learning-Assisted Approach for Black-Box Optimization, is now publicly available. |
| 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. |
| 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. |