news

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 paper “LiLaN: a linear latent network as the solution operator for real-time solutions to stiff and non-stiff nonlinear ordinary differential equations” has been accepted for publication in Machine Learning for Computational Science and Engineering .
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.