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 (Spring 2020): TuTh 10:00 am to 11:00 am (or by appointment).
Email: andreas at math dot uh dot edu
Phone: (+1)713-743-7409

Due to the recent health crisis I am moving all interactions with students to adequate online platforms.

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

06/2020 I am going to contribute to a mini-symposium organized by Carlos Borges (University of Central Florida) and Manas Rachh (Flatiron Institute) on Fast Algorithms for Inverse Problems and their Applications at the SIAM Conference on Imaging Sciences.

05/2020 I am co-organizing (with Demetrio Labate, University of Houston) a mini-symposium on the Integration of Model-Based and Data-Based Methods with Medical Imaging at the SIAM Conference on Mathematics of Data Science (SIAM MDS), which was scheduled to take place in Cincinnati, Ohio, USA (May 5 — 8, 2020). Our sessions (MS3 and MS18) will be held online on 06/23—06/24. Details can be found here.

03/2020 Our Schloss Dagstuhl Seminar (co-organized with George Biros (University of Texas at Austin), Miriam Mehl (University of Stuttgart), and Bjoern Menze (University of Munich)) entitled Inverse Biophysical Modeling and Machine Learning (21042) has been accepted. The seminar is scheduled to take place at Schloss Dagstuhl, Wadern, DE, January 24 — 29, 2021. More info about the seminar can be found here:

02/2020 I participated in the Workshop PDE and Inverse Problem Methods in Machine Learning organized by Adam Oberman (McGill University), Lorenzo Rosasco (University of Genoa), Dejan Slepcev (Carnegie Mellon University), Andrew Stuart (California Institute of Technology) and Yunan Yang (New York University), which was scheduled to talke place at the Institute for Pure and Applied Mathematics (IPAM) at the University of California in Los Angeles, CA, US, April 20—24, 2020 [conference took place online].

01/2020 The Texas Theta Chapter of Pi Mu Epsilon (PME) is currently inducting new members for spring 2020. Requirements for becoming a PME member can be found here. Send me an email if you think you meet these requirements and would like to become a member of PME. The deadline for applications is Friday, January 24, 5 PM.

01/2020 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 Learning at the SIAM Conference on Uncertainty Quantification (SIAM UQ), which takes place at the Garching campus of the Technical University of Munich, Munich, DE (March 24 — 27, 2020). (canceled)

01/2020 Our work on combining computational modeling and machine learning for characterization of brain tumors from medical imaging data has been featured on TACC’s webpage. Read more here.

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