News Archive

Group News

• Congratulations to Dr. Rui Fang on successfully defending her thesis "Accelerating Multiscale Hamiltonian Simulations via Deep Learning and Parallel-in-time Methods", Apr. 18, 2025.
• Shankar Padmanabhan won the award for the best presentation in data science, statistics, and mathematics in the Technology & Science Undergraduate Research Forum at UT Austin. Congratulations! Apr. 2024.

Invited Talks

• Invited talk "Variational characterizations of nonlinear PDEs on geometric domains" by Leticia Mattos Da Silva (MIT), May 2024.
• Invited talk "On the Sample Complexity of Linear Operator Learning" by Nicholas H. Nelsen (Caltech), Nov. 2023.
• Invited talk by Prof. David Fridovich-Keil (UT Austin Aerospace Engineering and Oden Institute), Mar 3, 2023.
• Invited talk by Dr. Kevin Miller (UT Austin Oden Institute), Feb 17, 2023.
• Invited talk "Coupling Deep Learning with Full Waveform Inversion" by Prof. Kui Ren (Columbia University), Feb. 2022.
• Invited talk "Efficient Training of Infinite-Depth Neural Networks via Jacobian-Free Back Propagation" by Prof. Samy Wu Fung (Colorado School of Mines), Jan. 2022.
• Invited talk "Path Planning in Unknown Environments by Fokker-Planck Equation on Graph" by Prof. Haomin Zhou (Georgia Tech), Nov. 2021.
• Invited talk "Geometry inspired DNNs on Manifold-structured Data" by Prof. Rongjie Lai (Rensselaer Polytechnic Institute), Oct. 2021.
• Invited talk "Tensor-structured Sketching for Constrained Least Square Problems" by Dr. Ke Chen (UT Austin), Oct. 2021.
• Invited talk "Applied differential geometry and harmonic analysis in deep learning regularization" by Prof. Wei Zhu (University of Massachusetts Amherst), Sept. 2021.
• Invited talk "The metric entropy and n-widths of shallow neural networks" by Dr. Jonathan Siegel (Penn State University), May 2021.
• Invited talk "Analysis of geometric shapes with oriented varifolds" by Dr. Hsi-Wei Hsieh (Johns Hopkins University), Mar. 2021.