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 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 Uncertainty Quantification for Data-Intensive Inverse Problems and Learning at the SIAM Conference on Computational Sciences and Engineering (SIAM CSE), which will take place virtually, March 1-5, 2021.

08/2020 I am going to present some of our work at the Geometry in the Mathematics of Data Science 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 Joint Mathematics Meetings (JMM), which will take place virtually, January 6-9, 2021.

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