Talks & Posters

Talks

• J. Rudi: Data representations for parameter estimation with deep learning models for a dynamical system. Contributed talk at International Conference on Computational and Mathematical Biomedical Engineering (CMBE24; Session: Inverse Problems and Uncertainty Quantification in Biological and Medical Applications), Fairfax, VA, US, 2024.
• A. Mang: Efficient numerical schemes for uncertainty quantification in diffeomorphic image registration governed by transport equations. Contributed talk at International Conference on Computational and Mathematical Biomedical Engineering (CMBE24; Session: Inverse Problems and Uncertainty Quantification in Biological and Medical Applications), Fairfax, VA, US, 2024.
• C. Jannatul: Efficient numerical methods for optimization problems governed by transport equations. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Frontiers in Deep Image Reconstruction, Restoration Across Diverse Modalities), Atlanta, GA, US, 2024.
• J. Y. Kim: Fast iterative solvers for PDE-constrained optimization in diffeomorphic image registration. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Shapes, Manifolds and Geometry in Imaging), Atlanta, GA, US, 2024.
• A. Mang: CLAIRE: Scalable algorithms for diffeomorphic image registration. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Model- and Data-Driven Approaches in Motion Analysis), Atlanta, GA, US, 2024.
• A. Mang: Fast iterative solvers for initial value control problems with application to diffeomorphic image registration. Contributed talk at the INFORMS Optimization Society Conference (IOS24; Session: Optimization of Complex Physics-Based Systems), Houston, TX, 2024.
• A. Mang: Efficient algorithms for inverse problems governed by dynamical systems. Invited talk (host: K. B. Nakshatrala) at the Department of Civil and Environmental Engineering, University of Houston, TX, 2023.
• A. Mang: CLAIRE: Scalable Algorithms for Diffeomorphic Image Registration. Contributed talk at the SIAM Conference on Uncertainty Quantification (UQ24; Session: Computational Tools for Large-Scale Inverse Problems and UQ), Trieste, IT, 2024.
• A. Mang: CLAIRE: Scalable Algorithms for Diffeomorphic Image Registration. Contributed talk at the SIAM Conference on Uncertainty Quantification (UQ24; Session: Computational Tools for Large-Scale Inverse Problems and UQ), Trieste, IT, 2024.
• A. Mang: Efficient algorithms for inverse problems governed by dynamical systems. Invited talk (host: K. B. Nakshatrala) at the Department of Civil and Environmental Engineering, University of Houston, TX, 2023.
• A. Mang: Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. Contributed talk at the U.S. National Congress on Computational Mechanics (USNCCM7; Session: Recent Advances in Large-Scale Optimal Engineering Design), Albuquerque, NM, 2023.
• A. Mang: Shape classification through the lens of geodesic flows of diffeomorphisms. Invited talk at workshop entitled “Leveraging Model- and Data-Driven Methods in Medical Imaging” at Banff International Research Station for Mathematical Innovation and Discover, CA, 2023.
• A. Mang: Scalable algorithms for inverse problems governed by dynamical systems. Invited talk at DSI’s webinar at the Hewlett Packard Enterprise Data Science Institute, University of Houston, Houston, TX, 2023.
• A. Mang: Deep neural networks for Bayesian inverse problems governed by nonlinear ODEs. Invited talk at workshop entitled Learning for Inverse Problems at Istituto Nazionale di Alta Matematica, Rome, IT, 2023.
• A. Mang: Fast algorithms for PDE-constrained optimization under uncertainty. Contributed talk at SIAM Conference on Optimization (OP23; Session: Challenges in Inverse Problems with Massive Data), Seattle, US, 2023.
• A. Mang: Fast algorithms for optimal control problems governed by geodesic flows of diffeomorphisms. Invited colloquium talk (host: J. Rudi) at the Department of Mathematics, Virginia Tech, Blacksburg, VA,US, 2023.
• A. Mang: Efficient numerical methods for optimal control problems governed by geodesic flows of diffeomorphisms. Invited talk (host: S. Foucart) at Center for Approximation and Mathematical Data Analytics, Texas A&M University, College Station, TX US, 2023.
• A. Mang: Fast algorithms for optimal control problems governed by geodesic flows of diffeomorphisms. Invited talk (host: S. Shontz) at Mathematical Methods and Interdisciplinary Computing Center (MMICC) at the University of Kansas, Larence, KS, US 2023.
• A. Mang: Numerical methods for PDE-constrained optimization problems governed by hyperbolic equations. Invited colloquium talk (host: Juan R. Romero) at Department of Mathematical Sciences, University of Puerto Rico, US, 2023.
• A. Mang: CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D. Invited ACMD Seminar talk (host: Gunay Dogan) at National Institute of Standards and Technology, Geithersburg, MD, US, 2023.
• A. Mang: Fast algorithms for inverse problems governed by transport equations. Contributed talk at AMS Sectional Meeting (Session: Recent Developments on Analysis and Computation for Inverse Problems for PDEs) in Atlanta, GA, US, 2023.
• A. Mang: Deep learning for Bayesian inverse problems governed by nonlinear ODEs. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE23; Session: Uncertainty Quantification for Data-Intensive Inverse Problems and Learning) in Amsterdam, NL, 2023.
• J. Chhoa: CLAIRE: A framework for constrained large deformation diffeomorphic image registration. Invited talk at Texas Women In Mathematics Symposium in Austin, TX, 2023.
• J. Y. Kim: Numerical methods for Bayesian inference for inverse transport problems. Contributed talk at Joint Mathematics Meetings (JMM23) in Boston, MA, 2023.
• A. Mang: CLAIRE: Scalable Multi-GPU Algorithms for Diffeomorphic Image Registration in 3D. Contributed talk at Joint Mathematics Meetings (JMM23) in Boston, MA, 2023.
• A. Mang: Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. Invited talk (host: Harbir Antil) at CMAI Colloquium at the Center for Mathematics and Artificial Intelligence, George Mason University, Fairfax, VA, US, 2022.
• A. Mang: Randomized algorithms for preconditioning and uncertainty quantification in inverse transport problems. Contributed talk at SIAM Conference on Mathematics of Data Science 2022 (Session: Randomized Methods in Large-Scale Inference and Data Problems), San Diego, CA, US, 2022.
• A. Mang: Fast algorithms for initial value control problems. Contributed talk at SIAM Conference on Imaging Sciences (IS22; Session: Partial Differential Equations and Control Problems); virtual conference, 2022.
• H. Dabirian: Automatic classification of shapes and shape deformations in 3D. Contributed talk at Joint Mathematics Meetings (JMM22); virtual conference, 2022.
• N. Himthani: CLAIRE: A scalable multi-GPU solver for diffeomorphic image registration in 3D. Contributed talk at SIAM TX-LA Annual Meeting (SIAM TX-LA21; Session: Mathematics and Computation in Biomedicine); South Padre Island, TX, 2021.
• M. Brunn: High-Speed Image Registration for Large-Scale Applications with CLAIRE. Invited talk (host: Barbara Gris) at Workshop on Registering Medical Images, Paris, FR, 2021.
• J. Y. Kim: Efficient numerical methods for initial value control problems. Contributed talk at SIAM Annual Meeting (AN21; Session: Fast Analysis Based Algorithms for Solution of Forward and Inverse Problems); virtual conference, 2021.
• A. Mang: Uncertainty quantification in diffeomorphic image registration. Contributed talk at SIAM Annual Meeting (AN21; Session: Uncertainty Quantification Strategies for Data-Driven, Large-Scale Problems); virtual conference, 2021.
• M. Brunn: Fast multi-GPU diffeomorphic image registration for large-scale applications. Contributed talk at US National Congress on Computational Mechanics (USNCCM16; Session: Imaging-Based Methods in Computational Medicine); virtual conference, 2021.
• A. Mang: CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D. Contributed talk at SIAM Conference on Optimization (OPT21; Session: Large-Scale Optimization for Inverse Problems and Learning in Medical Imaging); virtual conference, 2021.
• A. Mang: Uncertainty quantification for inverse transport problems. Contributed talk at SIAM Conference on Computational Science and Engineering 2021 (CSE21; Session: Uncertainty Quantification for Data-Intensive Inverse Problems and Learning); virtual conference.
• A. Mang: Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. Invited talk (host: Tan Bui-Thanh) at Oden Seminar at the Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, TX, US, 2021; virtual seminar.
• N. Himthani: Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems. Talk at Supercomputing 2020 (SC20); (virtual conference).
• A. Mang: Statistical analysis of shapes and shape deformations in 3D. Contributed talk at Joint Mathematics Meetings (JMM20; Session: AMS Special Session on Geometry in the Mathematics of Data Science); virtual conference.
• A. Mang: Classification of 3D shapes and shape deformations. Contributed talk at Annual Meeting of the SIAM Texas-Louisiana Section 2020 (SIAM TX-LA 20; Session: Scientific Machine Learning); virtual conference.
• A. Mang: Fast GPU-accelerated diffeomorphic image registration in 3D. Contributed talk at SIAM Imaging Science Conference 2020 (IS20; Session: Fast Algorithms for Inverse Problems and their Applications); virtual conference.
• A. Mang: Automatic classification of 3D shapes and shape deformations. Contributed talk at SIAM Conference on Mathematics of Data Science 2020 (MDS20; Session: Integration of Model-Based and Data-Based Methods with Medical Imaging); virtual conference.
• A. Mang: Estimating oncogenic parameters via biophysical brain tumor growth modeling. Invited talk at Annual Meeting of the Society for Neuro-Oncology 2019 (Session: Computational Neuro-Oncology), Phoenix, AZ, US.
• A. Mang: Fast GPU-accelerated diffeomorphic image registration in 3D. Contributed talk at SIAM TX-LA Sectional Meeting 2019 (Session: Recent Advances in Inverse Problems and Imaging), Southern Methodist University Dallas, TX.
• S. Subramanian: MRI-driven inverse problems for brain tumor growth models in personalized medicine. Contributed talk at SIAM TX-LA Sectional Meeting 2019 (Session: Recent Advances in Inverse Problems and Imaging), Southern Methodist University Dallas, TX.
• A. Mang: Fast algorithms for nonlinear optimal control for diffeomorphic registration. Invited talk (host: Roland Herzog) at RICAM’s Special Semester on Optimization (organized by E. Sachs, K. Kunisch; New Trends in PDE-Constrained Optimization), Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, AT, 2019.
• A. Mang: Uncertainty quantification in non-linear optimal control problems for diffeomorphic registration. Contributed talk at AMS Sectional Meeting (Session: Uncertainty Quantification Strategies for Physics Applications), University of Wisconsin-Madison, Madison, WI, US, 2019.
• A. Mang: Fast algorithms for non-linear optimal control problems for diffeomorphic registration. Invited talk (host: Christoph Brune) at Department of Applied Mathematics (DAMUT colloquium), University of Twente, Enschede, NL, 2019.
• J. Herring: Fast ADMM-type algorithms for diffeomorphic shape matching. Contributed talk at International Congress on Industrial and Applied Mathematics 2019 (ICIAM; Session: Fast iterative methods for large-scale inverse problems in imaging), Valencia, ES.
• A. Mang: Fast diffeomorphic image registration in 3D. Contributed talk at International Congress on Industrial and Applied Mathematics 2019 (ICIAM; Session: Fast iterative methods for large-scale inverse problems in imaging), Valencia, ES.
• J. Herring: Fast algorithms for optimal control based diffeomorphic shape matching. Contributed talk at Applied Inverse Problems (AIP) Conference 2019 (Session: Numerical methods for optimal control problems in imaging), Grenoble, FR.
• A. Mang: Fast algorithms for initial value control problems in image registration. Contributed talk at Applied Inverse Problems (AIP) Conference 2019 (Session: Analysis and Fast Numerical Methods for Inverse Problems and their Applications), Grenoble, FR.
• A. Mang: Diffeomorphic shape matching: Fast algorithms for non-linear optimal control problems. Invited talk (host: Mathilde Mougeot) at Éléments de mathématique pour l’intelligence artificielle, École Normale Supérieure, Paris-Saclay, Cachan, FR, 2019.
• A. Mang: Optimal control of PDEs: Application to brain tumor modeling. Contributed talk at AMS Sectional Meeting 2018 (Session: Validation and Verification Strategies in Multiphysics Problems), University of Arkansas, Fayetteville, AR, US.
• A. Mang: Fast solvers for inverse transport problems. Contributed talk at SIAM Annual Meeting 2018 (Session: Inverse Problems), Portland, OR, US.
• A. Mang: CLAIRE: A parallel solver for constrained diffeomorphic image registration. Invited talk (host: Johannes Kast) at Mint Medical GmbH, Heidelberg, DE, 2018.
• A. Gholami: A framework for scalable biophysics-based image analysis, Supercomputing 17, Denver, CO, US.
• K. Scheufele: Coupling brain-tumor biophysical models and diffeomorphic image registration. Contributed talk at SIAM Conference on Imaging Sciences 2018 (IS18; Session: Imaging, Modeling, Visualization and Biomedical Computing), Bologna, IT.
• K. Scheufele: Block-Newton iterative solvers for joint inverse tumor growth and image registration. Contributed talk at Copper Mountain Conference on Iterative Methods 2018 (Session: Imaging), Copper Mountain, CO, US.
• A. Mang: Parallel algorithms for hyperbolic PDE-constrained optimization problems. Contributed talk at International Workshop on Parallel Matrix Algorithms and Applications 2018 (PMAA18; Session: Krylov and regularization methods for large scale inverse problems), ETH Zuerich, Zuerich, CH.
• A. Mang: CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration. Invited talk (host: Miriam Mehl) at Department of Computer Science at University of Stuttgart, Stuttgart DE, 2018.
• A. Mang: CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration. Contributed talk at SIAM Conference on Imaging Sciences 2018 (Session: Diffeomorphic image registration: Numerics, Applications, and Theory), Bologna, IT.
• A. Mang: CLAIRE: A distributed-memory solver for constrained diffeomorphic image registration. Invited talk (host: Jesse Chan) at Computational and Applied Mathematics Department, Rice University, Houston, TX, US, 2018.
• A. Mang: Computational mathematics meets medicine: Formulations, numerics, and parallel computing. Invited talk (host: James Nagy) Emory University, Numerical Analysis and Scientific Computing Seminar, Department of Mathematics & Computer Science, Atlanta, GA, US, 2018.
• A. Mang: Preconditioners for the reduced space Hessian in hyperbolic optimal control problems. Contributed talk at International Conference on Preconditioning Techniques for Scientific and Industrial Applications 2017 (Session: Preconditioning methods in large-scale ill-posed inverse problems), Vancouver, BC, CA.
• A. Mang: A distributed-memory Newton–Krylov solver for inverse transport problems. Contributed talk at US National Congress on Computational Mechanics 2017 (USNCCM17; Session: Advances in Computational Methods for Inverse Problems), Montreal, QC, CA.
• A. Mang: A distributed-memory Newton–Krylov solver for constrained diffeomorphic image registration. Contributed talk at Applied Inverse Problems (AIP17) Conference 2017, Hangzhou, CN.
• A. Mang: Parallel algorithms for optimal control based diffeomorphic image registration. Contributed talk at Houston Imaging Sciences Symposium 2017, Houston, TX, US.
• A. Mang: Parallel algorithms for PDE-constrained optimization problems with hyperbolic constraints. Contributed talk at SIAM Conference on Computational Science and Engineering 2017 (Session: Fast Solvers for Large-Scale Inverse Problems in Imaging), Atlanta, GA, US.

Poster Presentations

• J. Kim: Fast evaluation of PDE operators for optimization and uncertainty quantification in problems governed by transport equations, SIAM TX LA Sectional Meeting 2022, University of Houston, Houston, TX.
• G. Villalobos: Inference for the Fitzhugh-Nagumo Model through ANNs, SIAM TX LA Sectional Meeting 2022, University of Houston, Houston, TX.
• R. Sultamuratov: Automatic classification of deformable shapes, SIAM TX LA Sectional Meeting 2022, University of Houston, Houston, TX.
• Y. Syed: Fast evaluation of kernel distances, Undergraduate Research Day 2020, University of Houston.
• A. H. A. Syed: Optimization and optimal control in machine learning, Undergraduate Research Day 2020, University of Houston.
• H. Rosso: Regularization schemes for linear inverse problems, Undergraduate Research Day 2020, University of Houston.
• M. Brunn: Fast 3D diffeomorphic image registration on GPUs. Research Poster at ACM/IEEE Conference on Supercomputing 2019, Colorado, Denver, CO, US.
• F. Huber: Efficient algorithms for geodesic shooting in diffeomorphic image registration. International Congress on Industrial and Applied Mathematics 2019, Valencia, ES.
• N. Himthani: GPU-accelerated interpolation for 3D image registration. Research Poster at ACM/IEEE Conference on Supercomputing 2018, Dallas, TX, US.
• B. Gonzalez: Fast and stable algorithms for deep learning. Undergraduate Research Day 2018, University of Houston, Houston, TX, US.