Umberto Villa

Current students:

PhD students

• Evan Craft Scope: 2023-, Ph.D. candidate in Computational Science, Engineering, and Mathematics (CSEM) at UT Austin: Optimal experimental design of Photoacoustic tomography imaging systems
• Luke Lozenski: 2020-, Ph.D. candidate in System Science and Mathematics at WashU: Model-based and learning image reconstruction methods for photoacoustic tomography
• Fu Li: 2019-, Ph.D. candidate in Bioengineering at UIUC: Ultrasound Computed Tomography (main advisor: Dr. Anastasio)
• Kevin Huang: 2022-, Ph.D. candidate in Bioengineering at UIUC: Model-based and learning-based image reconstruction methods for transcranial photoacoustic computed tomography (main advisor: Dr. Anastasio)
• Refik Cam: 2022-, Ph.D. student in Electrical and Computer Engineering at UIUC: Dynamic Imaging usig Photoacoustic Tomography (main advisor: Dr. Anastasio)

M.S. students

• Jenil Shah Computational Science, Engineering, and Mathematics (CSEM)

Undergraduate students

• Thomas Wynn

Past students

The University of Texas at Austin:

• Venugopal Ranganathan (co-advised with Dr. Ghattas): Solving Large-Scale Inverse Problems in hIPPYlibX: An Application to Quantitative Photoacoustic Tomography, MS in Computational Science Engineering & Mathematics (CSEM), 2024
• Karan Prakash Hiranandani (co-advised with 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