Andreas Mang :: Home
The University of Texas at Austin
On this page you can find some information about my former, current and future research. I am a postdoctoral fellow at the Institute for Computational Engineering and Sciences (ICES) of the University of Texas at Austin. I am a member of George Biros’s Parallel Algorithms for Data Analysis and Simulation Group (PADAS).

The goal of my research is the development, analysis, and deployment of computational methods that integrate data with simulation and optimization with the aspiration to support decision making in challenging problems in the applied sciences. My research interests are in mathematical methods in image computing, computational inverse problems, numerical optimization, parallel and distributed computing, biophysical simulations, and scientific computing with applications in computational medicine. My research is at the interface of applied mathematics, computational sciences, and the applied sciences. My current work focusses on the design and study of numerical methods for large scale partial differential equation constrained optimization. Applications that drive my research are in the medical imaging sciences.

This site is very much under construction. Please feel free to contact me if you have any questions, comments or suggestions:

Andreas Mang (electronic mail)
Institute for Computational Engineering and Sciences
Parallel Algorithms for Data Analysis and Simulation Group
University of Texas at Austin
201 East 24th Street, STOP C0200
Austin, TX 78712-1229, USA

Phone: 512-232-7310
Office: POB 5.232


Recent News

06/2017
Our paper on A framework for scalable biophysics-based image analysis got accepted for presentation at this year's IEEE/ACM Conference on SuperComputing (SC17) taking place in Denver, CO, 11/12-11/17.

06/2017
I will attend the International Conference on Preconditioning Techniques for Scientific and Industrial Applications (Preconditioning 2017), 07/31-08/02, 2017 in Vancouver, BC, CA. I am going to present our work Preconditioners for the reduced space Hessian in hyperbolic optimal control problems in a minisymposium organized by Lars Ruthotto and Jim Nagy.

05/2017
I will attend the National Congress on Computational Mechanics (USNCCM14), 07/17-07/20, 2017 in Montréal, QC, CA. I am going to present our work in the minisymposium Advances in Computational Methods for Inverse Problems (MS601) organized by Wilkins Aquino, Assad Oberai, Paul Barbone, and Cedric Bellis.

04/2017
I am going to join the Department of Mathematics at the University of Houston in fall 2017.

03/2017
I am going to attend the Applied Inverse Problems Conference (AIP), 05/29-06/02 2017 in Hangzhou, CN. I am going to present our work on A Distributed-Memory Newton-Krylov Solver for Constrained Diffeomorphic Image Registration in the minisymposium Fast Algorithms for Numerical Simulation and their Applications in Inverse Problems organized by Carlos Borges, Min Hyung Cho, Mike O’Neil, and Jun Lai.

01/2017
I am co-organizing (with George Biros) the mini-symposium Fast solvers for large-scale inverse problems in imaging (sessions MS160 and MS187) at the SIAM Conference on Computational Science and Engineering (CSE) in Atlanta, Georgia, USA, 02/27/17 to 03/03/17. I am going to present our work on Parallel algorithms for PDE-constrained optimization problems with hyperbolic constraints (you can read the abstract here).