Current students:
PhD students
M.S. students
Undergraduate students
Past students
The University of Texas at Austin:
- Karan Prakash Hiranandani (co-advised by Dr. Ghattas): hIPPYfire : an inexact Newton-CG method for solving inverse problems governed by PDE forward models, MS in Computational Science Engineering & Mathematics (CSEM), 2023
- Saleh, Bassel (co-advised by Dr. Ghattas): Scientific Machine Learning A Neural Network-Based Estimator for Forward Uncertainty Quantification, BS in Computer Science, Turing Scholars Honors, 2018
- Di Liu (co-advised by Dr. Ghattas): hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks, MS in Computational Science Engineering & Mathematics (CSEM), 2017
- Ge Gao (co-advised by Dr. Ghattas): hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian, MS in Computational Science Engineering & Mathematics (CSEM), 2017
Washington University in St Louis
- Peijie Qiu (Master thesis 2020–2021): Data-Driven Approaches to Solve Inverse Problems
- Jieqiong Xiao (Master Research, SPRING 2019): ADLA: Automatic differentiation and local assembly of exotic finite element variational forms in MFEM
- Argho Dattas (Undergraduate research, Fall 2018): Proximal Newton-type Methods
- Tao Ge (Graduate rotation, Fall 2018): Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization