Andreas Mang :: Home

Andreas Mang Department of Mathematics, University of Houston

I am an Assistant Professor at the Department of Mathematics of the University of Houston. On this page you can find information about my research and the classes I teach.

Contact Information

Andreas Mang
Andreas Mang [/an'dre:as maŋ/]
Department of Mathematics
College of Natural Sciences & Mathematics
University of Houston
Philip Guthrie Hoffman Hall (PGH), Office 614
3551 Cullen Blvd.
Houston, TX, 77204-3008
Office Hours (Fall 2021): TuTh 10:00 am to 11:00 am (or by appointment).
Email: andreas at math dot uh dot edu
Phone: (+1)713-743-7409

Research Interests

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. The main applications that drive my research are in medical imaging. More info can be found here.

Open Positions and Academic Advising

I have research projects for graduate and undergraduate students to work on challenging problems in computational mathematics with applications in imaging. Undergraduate students must be currently enrolled at the University of Houston. Graduate students need to apply to the graduate program of the Department of Mathematics ( Contact me for more details.


I am a faculty adviser for the Texas Theta Chapter of Pi Mu Epsilon (PME). Information about joining PME can be found here.

Recent News

11/2021 I am co-organizing (with George Biros (University of Texas at Austin) and Miriam Schulte (University of Stuttgart)) a mini-symposium on Recent Advances on Integrating Optimization, Learning, and Modeling with Medical Imaging at SIAM Conference on Imaging Science (IS22; virtual conference).

11/2021 I am co-organizing (with Nicolas Charon (Johns Hopkins University))) a mini-symposium on Shape Matching, Shape Analysis, and Morphometry: Theory, Numerics, and Applications at SIAM Conference on Imaging Science (IS22; virtual conference).

10/2021 I am co-organizing (with Tan Bui-Thanh (University of Texas at Austin)) a mini-symposium on Uncertainty Quantification for Data-Intensive Inverse Problems and Machine Learning at World Congress on Computational Mechanics (WCCM-APCOM 2022), Yokohama, JP.

We are currently soliciting members for Pi Mu Epsilon (PME). The deadline for applying is Friday, September 10. If you meet the requirements send an email to andreas at math dot uh dot edu with your name and PSID.

I am co-organizing (with George Biros, University of Texas at Austin; Bjoern Menze, ETH Zuerich; and Miriam Schulte, University of Stuttgart) a Dagstuhl Seminar on Inverse Biophysical Modeling and Machine Learning in Personalized Oncology scheduled to take place January 8 through 13, 2023 at Schloss Dagstuhl. Read the abstract of our planned seminar here.

06/2021 I am going to present some of our recent work at the mini-symposium on Uncertainty Quantification Strategies for Data-Driven, Large-Scale Problems at the SIAM Annual Meeting (AN21), which will take place virtually, July 19 - 23, 2021.

05/2021 I am co-organizing (with George Biros, University of Texas at Austin) a mini-symposium on Large-Scale Optimization for Inverse Problems and Learning in Medical Imaging at the SIAM Conference on Optimization (OP21), which will take place virtually, July 20 - 23, 2021.

04/2021 Ali Hamza Abidi Syed, who contributed to the research in my group this spring semester, was featured in this article about his participation in the NSM Undergraduate Research Day in April 2021.

A list of yesterday's news and activities can be found here.