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 [/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 2020)**: MW 3:00 pm to 4:00 pm (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 (http://www.uh.edu/nsm/math/graduate/). Contact me for more details.### Outreach

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

**11/2020**I am going to present some of our recent work at the seminar of the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin on Tuesday, February 9, 2021.

**10/2020**I am co-organizing (with Hwan Goh (University of Texas at Austin) and Tan Bui-Thanh (University of Texas at Austin) a mini-symposium on

**at the SIAM Conference on Computational Sciences and Engineering (SIAM CSE), which will take place virtually, March 1-5, 2021.**

*Uncertainty Quantification for Data-Intensive Inverse Problems and Learning***08/2020**I am going to present some of our work at the

**mini-symposium (organized by Carlos M. Ortiz Marrero (Pacific Northwest National Laboratory), Tegan H. Emerson (Pacific Northwest National Laboratory), Timothy J. Doster (Pacific Northwest National Laboratory), and Henry J. Kvinge (Pacific Northwest National Laboratory)) at the**

*Geometry in the Mathematics of Data Science***(JMM), which will take place virtually, January 6-9, 2021.**

*Joint Mathematics Meetings*A list of yesterday's news and activities can be found here.