Andreas Mang Department of Mathematics, University of Houston

I am an Associate 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/]
Numerical Analysis and Scientific Computing Group
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 2023): MoWe 3:00 pm to 4:00 pm (or by appointment).
Email: andreas at math dot uh dot edu
Phone: (+1)713-743-7409
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Research Interests

The goal of my research is the development, analysis, and deployment of computational and mathematical methods that integrate data with simulation and optimization with the aspiration to support decision making in challenging problems in the applied sciences. 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 and applied mathematics. 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). More information about the program and the requirements to obtain a Ph.D. degree from our department can be found here. Information on how to apply to our Ph.D. program can be found here. Contact the graduate studies director listed on this page for more information. Only contact me directly if (i) you are already enrolled in the program or (ii) you want to work with me and have specific questions about my research. Information about current research directions of my group can be found here.

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

12/2023 I am co-organizing (w/A. Arnold (WPI)) a mini-symposium on Uncertainty Quantification for Large-Scale Inverse Problems Governed by Dynamical Systems at the SIAM Conference for Uncertainty Quantification (UQ24) scheduled to take place in Trieste, IT, February 27 to March 1 2024.

11/2023 German Villalobos succesfully defended his dissertation entitled "Scientific Machine Learning for Bayesian Inverse Problems Governed by the FitzHugh—Nagumo Model." Congratulations, German!

09/2023 I am organizing the SIAM Minisymposium on Mathematical Methods in Computer Vision and Image Analysis at the Joint Mathematics Meetings 2024 (JMM24) scheduled to take place in San Francisco, January 3-6, 2024.

09/2023 I am going to talk about some of our recent research at the Department of Civil and Environmental Engineering at the University of Houston, TX, on 09/22/2023. Thanks to Dr. Kalyana Babu Nakshatrala and Dr. Behrooz Ferdowsi for the kind invitation.

08/2023 I am co-organizing (w/A. Mamonov (University of Houston) & D. Onofrei (University of Houston)) a mini-symposium on Data- and Model-Driven Approaches for Inverse Problems at the SIAM TX-LA Annual Conference (SIAM TX-LA) scheduled to take place in Lafayette, LA, US, November 3-5, 2023.

07/2023 Jae Youn Kim successfully defended her dissertation entitled "Efficient numerical methods for initial value control problems for diffeomorphic image registration." Congratulations, Jae!

06/2023 I participated in the Association for Women in Mathematics Workshop at the SIAM Conference on Optimization (SIAMOP23) scheduled to take place in Seattle, WA, US May 31 to June 3, 2023. You can learn more about this event here.

05/2023 I am going to present some of our recent work on Scalable Algorithms for Inverse Problems Governed by Dynamical Systems at the DSI Seminar of the HPE Data Science Institute at the University of Houston on June 23, 2023. Thanks to Dr. Claudia M. Neuhauser for the kind invitation.

05/2023 I am going to present some of our recent work at a minisymposium entitled Challenges in Inverse Problems with Massive Data at the SIAM Conference on Optimization (SIAMOP23) scheduled to take place in Seattle, WA, US May 31 to June 3, 2023.

03/2023 I am going to present some of our recent work in the colloquium of the Department of Mathematics at Virginia Tech, Blacksburg, VA, US, on April 28, 2023. Thanks to Dr. Johann Rudi for the kind invitation.

03/2023 I am going to present some of our recent work in the seminar of the Center for Approximation and Mathematical Data Analytics (CAMDA) of the Department of Mathematics at Texas A&M University, College Station, TX, US, on April 26, 2023. Thanks to Dr. Simon Foucart for the kind invitation.

03/2023 I am going to present some of our recent work in the seminar of the Mathematical Methods and Interdisciplinary Computing Center (MMICC) of the Institute for Information Sciences at the University of Kansas, Lawrence, KS, US, on April 14, 2023. Thanks to Dr. Suzanne Shontz for the kind invitation.

03/2023 I have received the Award for Excellence in Research, Scholarship and Creative Activity from the Division of Research at the University of Houston. I am honored and thankful for the continued support of the University of Houston, and would like to extend my gratitude to my colleagues and collaborators, without whom this journey would not have been possible. In particular, I would like to thank my colleagues at the Department of Mathematics and NSM for their invaluable advice, input, and support.

03/2023 I am going to present some of our recent work on numerical methods for PDE constrained optimization in the colloquium of the Department of Mathematical Sciences at the University of Puerto Rico Mayaguez Campus on March 28, 2023. Thanks to Dr. Juan R. Romero for the kind invitation.

03/2023 PME is participating in the Math and Science Family Night at the Durham Elementary School, taking place Thursday, March 9, 2023, 4 PM to 6 PM.

02/2023 I am going to attend the 17th US National Congress on Computational Mechanics (USNCCM17) scheduled to take place in Albuquerque, NM, July 23-27, 2023.

02/2023 I am going to participate in the BIRS workshop on Leveraging Model- and Data-Driven Methods in Medical Imaging (23w5402) to be held at UCB, Okanagan, June 25-30, 2023.

02/2023 I am going to participate in the INdAM workshop LIP: Learning for Inverse Problems (LIP) to be held in Rome, IT on June 5 to 9 2023.

02/2023 I am co-organizing (with George Biros, University of Texas at Austin) a mini symposium on Recent Advances in Variational and Data-Driven Methods for Inverse Problems at the SIAM Conference on Optimization (SIAMOP23) scheduled to take place in Seattle, WA, US May 31 to June 3, 2023.

01/2023 I am going to attend the 2023 AMS Spring Southeastern Sectional Meeting scheduled to take place at the Georgia Institute of Technology, Atlanta, GA, March 18-19, 2023. I will present some of our recent work in the Special Session on Recent Developments on Analysis and Computation for Inverse Problems for PDEs.

12/2022 I am going to present some of our recent work on fast algorithms for diffeomorphic image registration at the Applied and Computational Mathematics Division (ACMD) Seminar Series at the National Institute of Standards and Technology (NIST) in Boulder, CO, US in March 2023. Thanks to Dr. Gunay Dogan and Dr. Zachary J. Grey for the kind invitation.

11/2022 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 at Schloss Dagstuhl, Wadern, DE from January 8 through 13, 2023. You can read the abstract of our planned seminar here. You can download the Dagstuhl report of our workshop here.

11/2022 I am going to attend the Joint Mathematics Meetings (JMM 23) held in Boston, MA, January 4-7. I am going to present our work on fast algorithms for diffeomorphic image registration in the SIAM Special Session on Imaging and Inverse Problems.

11/2022 I am going to co-organize (with Johann Rudi (Virginia Tech) 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 Science and Engineering (SIAM CSE 23) being held February 26-March 3, 2023 in Amsterdam, The Netherlands. Our mini takes place on Tuesday, February 28 (MS106 and MS142).

Old News

2022
  • Jae Youn Kim, German Villalobos, and Radmir Sultamuratov presented their work at the SIAM TX-LA Sectional Meeting (TXLA22), which took place at the University of Houston, November 4-6, 2022.
  • I presented some of our work on fast algorithms for diffeomorphic image registration at the SIAM TX-LA Sectional Meeting (TXLA22), which took place at the University of Houston, November 4-6, 2022.
  • Dr. Lexing Ying of the Department of Mathematics at Stanford University presented his work on Correcting Convexity Bias in the Mathematics Colloquium on November 9, 2022.
  • I presented some of our work on efficient numerical algorithms for PDE-constrained optimization at the mini-symposium on Randomized Methods in Large-Scale Inference and Data Problems (MS136) at this year's SIAM Conference on Mathematics of Data Science (MDS22), which took place in San Diego, CA, US, September 26-30, 2022.
  • I presented some of our work on fast algorithms for optimal control problems with application to diffeomorphic image registration in the CMAI Colloquium at the Center for Mathematics and Artificial Intelligence at George Mason University, Fairfax, VA, on February October 14, 2022. Here's the link to the video. Thanks to Dr. Harbir Antil for the kind invitation.
  • I was a member of the organizing committee of the SIAM TX-LA Sectional Meeting (TXLA22), which took place at the University of Houston, November 4-6, 2022.
  • I co-organized (with Dr. Demetrio Labate (University of Houston)) a mini-symposium on the Integration of Model- and Data-Driven Methods with Applications in Imaging (MS72 and MS89) at the SIAM Conference on Mathematics of Data Science (MDS22), which took place in San Diego, CA, US, September 26-30, 2022.
  • My book review for SIAM Review has been selected as the Featured Review of the June 2022 edition (Vol. 64, No. 2, 2022).
  • I received the NSM Junior Faculty Award For Excellence in Research. Thanks to my colleagues at NSM for this recognition and their continued support. Thanks to my colleagues, mentors and collaborators for their invaluable contributions throughout my career.
  • I presented our recent research results on efficient algorithms for optimal control problems governed by hyperbolic transport equations at the Copper Mountain Conference On Iterative Methods (April 4 through April 8, 2022).
  • I co-organized (with Dr. 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), which took place July 31 to August 5, 2022 (virtual conference).
  • I received the NSF CAREER Award 2022 (DMS-2145845). Thanks to NSF for their continued support. Thanks also to my colleagues, mentors, and collaborators for their support and invaluable advice on this journey. The award will start in 08/2022. You can read more about it in this NSM article.
  • Dr. Karl Kunisch of the University of Graz and the Radon Institute, Austrian Academy of Sciences presented his work on Concepts for Optimal Feedback Control of Nonlinear Partial Differential Equations at the Mathematics Colloquium on March 9, 2022.
  • I co-organized (with Dr. George Biros (University of Texas at Austin) and Dr. 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). The conference was scheduled to take place on March 21-25, 2022.
  • I co-organized (with Dr. 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). The conference was scheduled to take place on March 21-25, 2022.
2021
  • Dr. Laurent Demanet of the Department of Mathematics at the Massachusetts Institute of Technology presented his work on Inversion and imaging with Deepfake Data at the Mathematics Colloquium on September 29, 2021.
  • I presented 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 took place virtually, July 19 - 23, 2021.
  • I co-organized (with Dr. 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 took place virtually, July 20 - 23, 2021.
  • Dr. James. G. Nagy of the Department of Mathematics, Emory University gave a talk in the Mathematics Colloquium entitled Krylov Subspace Regularization for Inverse Problems.
  • Ali Hamza Abidi Syed, who contributed to the research in my group during Spring 2021, was featured in this article about his participation in the NSM Undergraduate Research Day in April 2021.
  • I presented 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. Thanks to Dr. Tan Bui-Thanh for the kind invitation.
  • I co-organized (with Dr. Hwan Goh (University of Texas at Austin) and Dr. 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 took place virtually, March 1-5, 2021.
  • I presented 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 took place virtually, January 6-9, 2021.
2020
  • Sorena Sarmadi successfully defended his dissertation entitled "Stochastic neural networks for cell tracking in video recordings of bacterial colonies."
  • I presented some of our recent work at a mini-symposium on Scientific Machine Learning organized by Dr. Hwan Goh (University of Texas at Austin) and Dr. Tan Bui-Thanh (University of Texas at Austin) at the SIAM TX-LA Sectional Meeting (SIAM TX-LA, virtual conference), October 16-18, 2020.
  • I co-organized (with Shashank Subramanian, University of Texas at Austin) a mini-symposium on Recent Advances in Inverse Problems: Numerics, Theory, and Applications at the SIAM TX-LA Sectional Meeting (SIAM TX-LA, virtual conference), October 16-18, 2020.
  • I contributed to a mini-symposium organized by Dr. Carlos Borges (University of Central Florida) and Dr. Manas Rachh (Flatiron Institute) on Fast Algorithms for Inverse Problems and their Applications at the SIAM Conference on Imaging Sciences.
  • I co-organized (with Dr. 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). Our sessions (MS3 and MS18) was held online on 06/23—06/24. Details can be found here.
  • Our proposal for a 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 was scheduled to take place at Schloss Dagstuhl, Wadern, DE, January 24 — 29, 2021. More info about the seminar can be found here: https://www.dagstuhl.de/21042. The seminar was cancelled due to the ongoing health crisis.
  • I participated in the Workshop PDE and Inverse Problem Methods in Machine Learning organized by Dr. Adam Oberman (McGill University), Dr. Lorenzo Rosasco (University of Genoa), Dr. Dejan Slepcev (Carnegie Mellon University), Dr. Andrew Stuart (California Institute of Technology) andDr. 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].
  • I co-organized (with Dr. 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 was scheduled to take place at the Garching campus of the Technical University of Munich, Munich, DE (March 24 — 27, 2020). The conference was cancelled.
2019
  • I attended the Workshop Beyond First Order Methods in ML at the Neural Information Systems Processing (NeurIPS) conference, which takes place in Vancouver, CA (December 12-13, 2019).
  • I presented our most recent work in computational oncology at the Annual Meeting of the Society for Neuro-Oncology held in Phoenix, Arizona, November 22-24, 2019. Thanks to Dr. Spyridon Bakas for the organization.
  • I attended the 1st Annual GCC Translational Imaging Symposium on Tuesday, October 22, 2019.
  • Dr. Matthias Heinkenschloss, Noah G. Harding Chair and Professor of Computational and Applied Mathematics at Rice, visited our department on October 9. He gave a talk in the Mathematics Colloquium (Title: Time domain decomposition methods for large-scale optimal control problems).
  • I co-organized (with Tan Bui-Thanh (University of Texas at Austin)) a minisymposium entitled Recent Advances in Inverse Problems and Imaging at the SIAM TX-LA Sectional Meeting which took place at Southern Methodist University in Dallas, TX, US, November 1-3, 2019.
  • I attended the Workshop on New Trends in PDE Constrained Optimization, which is part of RICAM's Special Semester on Optimization (SPECSEM19) and took place at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), from October 14 through October 19, 2019. Thanks to Roland Herzog (University of Chemnitz) and Emmanuel Trelat for the kind invitation.
  • I presented our recent work in a session on Uncertainty Quantification Strategies for Physics Applications at the AMS Fall Central Sectional Meeting in Madison, Wisconsin, September 14-15, 2019. Thanks to Dr. Tulin Kaman and Dr. Qin Li for the organization.
  • I visited the University of Twente from July 22—24, 2019. Thanks to Dr. Christoph Brune (University of Twente) for the kind invitation.
  • I presented our work on Diffeomorphic Shape Matching at the Éléments de Mathématique pour l’Intelligence Artificielle—a conference held in honor of the achievements of my colleague Dr. Robert Azencott (University of Houston)—at École Normale Supérieure, Paris-Saclay, Cachan on May 14 and 15. Thanks to Dr. Mathilde Mougeot (École Normale Supérieure) (and organizers) for the kind invitation.
  • I attended the Opiate and HEAL Initiative-Focused Cross-Consortia Networking Event, on February 4th.
  • Dr. Karen Willcox, Director of the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin, visited our department on February 6. She presented her work on Projection-Based Model Reduction: Physics-Based Approaches to Learn Low-Dimensional Models in the Mathematics Colloquium (3:00PM to 4:00PM, PGH646A).
  • I co-organized (with James Herring (University of Houston)) the mini-symposium Fast Iterative Methods for Large-Scale Inverse Problems in Imaging at the International Congress on Industrial and Applied Mathematics (ICIAM2019) in Valencia, ES (July 15—19, 2019).
  • I co-organizinged (with James Herring (University of Houston)) the mini-symposium Numerical Methods for Optimal Control Problems in Imaging at the Applied Inverse Problems (AIP) conference in Grenoble, FR (July 8—12, 2019).
  • I attended the ICERM Workshop on Optimization Methods in Computer Vision and Image Processing, April 29—May 3, 2019, at the Institute for Computational and Experimental Research in Mathematics (ICERM), Providence, Rhode Island.
  • I co-organized (with James Herring (University of Houston) and George Biros (University of Texas at Austin)) the mini-symposium Fast Solvers for Inverse Problems with PDEs (MSI and MSII) at the SIAM Conference on Computational Science and Engineering (CSE19) in Spokane, Washington, US (Feb 25—March 1, 2019).
2018
  • I visited The Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin from December 4-6. 2018.
  • I attended the AMS Fall Southeastern Sectional Meeting (November 3-4, 2018, University of Arkansas, Fayetteville) to present some of our work on Optimal control of PDEs: Application to brain tumor modeling in the session entitled Validation and Verification Strategies in Multiphysics Problems organized by Tulin Kaman (University of Arkansas).
  • Ms. Brenda Gonzalez received the Summer Undergraduate Research Fellowship. Thanks to the Office of Undergraduate Research at UH for supporting our work.
  • I attended the SIAM Annual Meeting (AN18) in Portland, OR, US, July 9-13. I am going to present some of our recent work on fast solvers for inverse problem in a session on Inverse Problems. You can find the abstract here.
  • I attended the International Workshop on Parallel Matrix Algorithms and Applications (PMAA 18) at ETH Zurich, Zurich, CH, on June 27-29, 2018. I presented some of our recent work on fast solvers for inverse problems in a mini-symposium on Krylov and Regularization Methods for Large Scale Inverse Problems organized by Dr. Nick Schenkels and Dr. Wim Vanroose.
  • I visited the University Stuttgart, Stuttgart, DE on June 11-22, 2018. Thanks to Dr. Miriam Mehl for the kind invitation.
  • I co-organized (with Dr. George Biros (University of Texas at Austin)) the mini-symposium Diffeomorphic Image Registration: Numerics, Applications and Theory at the SIAM Conference on Imaging Science (IS18) in Bologna, IT, from June 05 to June 08, 2018. The program for the conference can be found here.
  • I was a judge for the Graduate Student Paper Presentations (organized by the SIAM and AMS Student Chapters at UH) on Friday, April 6, 2018.
  • I presented some of my recent work on algorithms for inverse problems at the colloquium of the Computational and Applied Mathematics Department (CAAM) at Rice University on February 19, 2018.
2017
  • Amir Gholaminejad won the Best Student Paper Award at SC'17. You can find our contribution here.
  • I gave an introduction to my general area of research at the Undergraduate Colloquium hosted by the Department of Mathematics on October 5, 2017. The title of the talk is Inverse problems meet imaging sciences: From applications to parallel computing. You can read the abstract here.
  • Some of our recent work is featured on the website of the Texas Advanced Computing Center (TACC). You can read the article here.
  • I attended the Houston Imaging Sciences Symposium 10/02—10/03 2017. I presented our work on diffeomorphic image registration.
  • I attended the International Conference on Preconditioning Techniques for Scientific and Industrial Applications (Preconditioning 2017) in Vancouver, BC, CA, 07/31—08/02 2017. I gave a talk about our work on Preconditioners for the reduced space Hessian in hyperbolic optimal control problems in a mini-symposium organized by Lars Ruthotto (Emory University) and Jim Nagy (Emory University).
  • I attended the National Congress on Computational Mechanics (USNCCM14) in Montréal, QC, CA, 07/17—07/20 2017. I gave a presentation about our work on diffeomorphic image registration in the mini-symposium Advances in Computational Methods for Inverse Problems (MS601) organized by Wilkins Aquino, Assad Oberai, Paul Barbone, and Cedric Bellis.
  • I attended the Applied Inverse Problems Conference (AIP) in Hangzhou, CN, 05/29—06/02 2017. I gave a presentation in the mini-symposium on Fast algorithms for numerical simulation and their applications in inverse problems organized by Carlos Borges, Min Hyung Cho, Mike O’Neil, and Jun Lai.
  • I co-organized (with Dr. George Biros (University of Texas at Austin)) 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—03/03 2017. I presented our work on Parallel algorithms for PDE-constrained optimization problems with hyperbolic constraints (you can read the abstract here).
2016
  • I attended the IEEE/ACM Conference on SuperComputing (SC16). I presented our work on Distributed-memory large deformation diffeomorphic 3D image registration. You can read the abstract of our contribution here.
  • I gave a seminar talk (hosted by Lars Ruthotto) at Emory's Department of Mathematics and Computer Science on April 22, 2016.
  • I attended the Workshop on Numerical Methods for Optimal Control and Inverse Problems (OCIP 2016) hosted by the Technical University of Munich from March 14—16, 2016. I presented our work on Fast algorithms for diffeomorphic image registration.
  • I co-organized (with George Biros (University of Texas at Austin)) the mini-symposium Efficient algorithms for variational methods in medical imaging at the SIAM Conference on Imaging Sciences (SIAM IS 2016) in Albuquerque, New Mexico, USA, May 23-26, 2016 (see session MS9 and MS19).
  • I attended the SIAM Conference on Uncertainty Quantification (SIAM UQ 2016) in Lausanne, April 5-8, 2016. I presented our work about Efficient evaluation of Hessian operators arising in large-scale inverse problems in medical imaging. Follow this link to read the abstract of our contribution.
2015
  • I attended the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2015) in Austin, November 15-20, 2015.
  • I attended the Innovations in Cancer Prevention and Research Conference in Austin, November 9-10, 2015. We presented our work Towards an integrated system for image analysis in brain tumor imaging based on inversion methods.
  • I participated in the IdeaLab on Inverse Problems and Uncertainty Quantification at Brown University’s Institute for Computational and Experimental Research in Mathematics (ICERM) in July.
  • I co-organized (with George Biros (University of Texas at Austin)) the mini-symposium Efficient algorithms for variational methods in imaging (MS212 & MS237) at the SIAM Conference on Computational Sciences and Engineering (SIAM CSE 2015) in Salt Lake City, March 14-18, 2015. Follow this link to read the abstract of our contribution.
  • I gave a talk about Optimal control meets medical imaging sciences: Applications, formulations and fast solvers in the context of the Workshop-Series IMETUM Lecture at the Technical University of Munich on March, 5th (TUM host: Prof. Dr. Bjoern Menze with kind support of Katharina Lang).
  • I gave a talk at the Workshop on Numerical Methods for Optimal Control and Inverse Problems (OCIP 2015) hosted by the Faculty of Mathematics of the Technical University Munich on March 9-11, 2015.
2014
  • I gave a talk about “Efficient algorithms for inverse transport problems” in the seminar Mathematics in Image Computing and Simulation hosted by the Institute of Medical Engineering and the Institute of Mathematics at the University of Lübeck on December 16, 2014.
  • I gave a talk about “Applied Mathematics Meets Medicine: A Strip Cartoon” at the Department of Germanic Studies, The University of Texas at Austin on November 25, 2014.
  • I attended the DiaMonD All-Hands Meeting at MIT, Boston on November 12-14, 2014.
  • I gave a talk about “Fast solvers for inverse problems with pure advection” at the DiaMonD/Eureka project seminar series at ICES on September 18, 2014.

©2013-2023 Andreas Mang (last updated: 12/7/23) Contact me.