Publications & Presentations

Below you can find the publications, talks, and posters of members of the SCOPA lab. A more complete list of publications can be found on the Google Scholar profile of the lab director.

Publications

Tensor-based reduced-order modeling for optimization-based inverse problems

S. Islam, A. Mang & M. Olshanskii.

preprintarXiv
Tensorial reduced-order models for parametric coupled reaction-diffusion systems: Application to brain tumor growth modeling

A. Islam, M. R. B. Mizan, M. Olshanskii & A. Mang.

preprintarXiv
A unified framework for lifted training and inversion approaches

X. Wang, A. Valavanis, A. Mahmood, A. Mang, M. Benning & A. Repetti. Handbook of Numerical Analysis, 2026.

chapterdoi arXiv
Fast k-means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices

J. Shi, N. Charon, A. Mang, D. Labate & R. Azencott.

preprintarXiv
VPreg: An optimal control formulation for diffeomorphic image registration based on the variational principle grid generation method

Z. Zhou, B. Zhao, A. Mang & G. Liao.

preprintarXiv
A generalized alternating NGMRES method for PDE-constrained optimization problems governed by transport equations

Y. He & A. Mang.

preprintarXiv
Neural networks for Bayesian inverse problems governed by a nonlinear ODE

G. Villalobos, J. Rudi & A. Mang. SIAM Journal on Scientific Computing, 48(3):C415–C452, 2025.

journaldoi arXiv
Rare events analysis and computation for stochastic evolution of bacterial populations

Y. Su, B. Geiger, I. Timofeyev, A. Mang & R. Azencott. Stochastic Analysis and Applications, 2025.

journaldoi arXiv
Classification of deformable smooth shapes through geodesic flows of diffeomorphisms

H. Dabirian, R. Sultamuratov, J. Herring, C. El-Tallawi, W. Zoghbi, A. Mang & R. Azencott. Journal of Mathematical Imaging and Vision, 2024.

journaldoi arXiv
CLAIRE: Scalable GPU-accelerated algorithms for diffeomorphic image registration in 3D

A. Mang. Explorations in the Mathematics of Data Science (Applied and Numerical Harmonic Analysis), pp. 167–215, 2024.

chapterdoi arXiv
An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching

A. Mang, J. He & R. Azencott. Journal of Computational Physics, 493:112463, 2023.

journaldoi arXiv
CLAIRE—Parallelized diffeomorphic image registration for large-scale biomedical imaging applications

M. Brunn, N. Himthani, J. Y. Kim, M. Schulte, A. Mang & G. Biros. Journal of Imaging, 8(9):251, 2022.

journaldoi arXiv
Stochastic neural networks for automatic cell tracking in microscopy image sequences of bacterial colonies

S. Sarmadi, J. J. Winkle, R. N. Alnahhas, M. R. Bennett, K. Josić, A. Mang & R. Azencott. Mathematical and Computational Applications, 27(2):22, 2022.

journaldoi arXiv
CLAIRE: Constrained large deformation diffeomorphic image registration on parallel computing architectures

M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang. Journal of Open Source Software, 6(61):3038, 2021.

journaldoi
Diffeomorphic shape matching by operator splitting in 3D cardiology imaging

P. Zhang, A. Mang, J. He, R. Azencott, K. C. El-Tallawi & W. A. Zoghbi. Journal of Optimization Theory and Applications, 188(1):143–168, 2021.

journaldoi arXiv
Estimating glioblastoma biophysical growth parameters using deep learning regression

S. Pati, V. Sharma, H. Aslam, S. Thakur, H. Akbari, A. Mang, S. Subramanian, G. Biros, C. Davatzikos & S. Bakas. Proc International MICCAI Brainlesion Workshop, LNCS 12658, pp. 157–167, 2021.

conferencedoi
Fast GPU 3D diffeomorphic image registration

M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang. Journal of Parallel and Distributed Computing, 149:149–162, 2021.

journaldoi arXiv
Multi-node multi-GPU diffeomorphic image registration for large-scale imaging problems

M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang. Proc ACM/IEEE Conference on Supercomputing, pp. 523–539, 2020.

conferencedoi arXiv
Integrated biophysical modeling and image analysis: Application to neuro-oncology

A. Mang, S. Bakas, S. Subramanian, G. Biros & C. Davatzikos. Annual Review of Biomedical Engineering, 22:309–341, 2020.

journaldoi arXiv
Image-driven biophysical tumor growth model calibration

K. Scheufele, S. Subramanian, A. Mang, G. Biros & M. Mehl. SIAM Journal on Scientific Computing, 42(3):B549–B580, 2020.

journaldoi arXiv
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

A. Mang, A. Gholami, C. Davatzikos & G. Biros. SIAM Journal on Scientific Computing, 41(5):C548–C584, 2019.

journaldoi arXiv
Coupling brain-tumor biophysical models and diffeomorphic image registration

K. Scheufele, A. Mang, A. Gholami, C. Davatzikos, G. Biros & M. Mehl. Computer Methods in Applied Mechanics and Engineering, 347:533–567, 2019.

journaldoi arXiv
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

S. Bakas, M. Reyes, A. Jakab et al. (incl. A. Mang). arXiv:1811.02629, 2019.

preprintarXiv
PDE-constrained optimization in medical image analysis

A. Mang, A. Gholami, C. Davatzikos & G. Biros. Optimization and Engineering, 19(3):765–812, 2018.

journaldoi arXiv
A semi-Lagrangian two-level preconditioned Newton–Krylov solver for constrained diffeomorphic image registration

A. Mang & G. Biros. SIAM Journal on Scientific Computing, 39(6):B1064–B1101, 2017.

journaldoi arXiv
A Lagrangian Gauss–Newton–Krylov solver for intensity- and mass-preserving diffeomorphic image registration

A. Mang & L. Ruthotto. SIAM Journal on Scientific Computing, 39(5):B860–B885, 2017.

journaldoi arXiv
A framework for scalable biophysics-based image analysis

A. Gholami, A. Mang, K. Scheufele, C. Davatzikos, M. Mehl & G. Biros. Proc ACM/IEEE Conference on Supercomputing, 19:1–19:13, 2017.

conferencedoi
An inverse problem formulation for parameter estimation of a reaction-diffusion model for low grade gliomas

A. Gholami, A. Mang & G. Biros. Journal of Mathematical Biology, 72(1):409–433, 2016.

journaldoi arXiv
Distributed-memory large deformation diffeomorphic 3D image registration

A. Mang, A. Gholami & G. Biros. Proc ACM/IEEE Conference on Supercomputing, 72:842–853, 2016.

conferencedoi arXiv
Constrained H1 regularization schemes for diffeomorphic image registration

A. Mang & G. Biros. SIAM Journal on Imaging Sciences, 9(3):1154–1194, 2016.

journaldoi arXiv
An inexact Newton–Krylov algorithm for constrained diffeomorphic image registration

A. Mang & G. Biros. SIAM Journal on Imaging Sciences, 8(2):1030–1069, 2015.

journaldoi arXiv
Methoden zur numerischen Simulation der Progression von Gliomen: Modellentwicklung, Numerik und Parameteridentifikation

A. Mang. Springer, 2014.

bookdoi
Cyclic numerical time integration in variational non-rigid image registration based on quadratic regularisation

A. Mang, T. A. Schuetz, S. Becker, A. Toma & T. M. Buzug. Proc Vision Modeling and Visualization Workshop, pp. 143–150, 2012.

conferencedoi
Biophysical modeling of brain tumor progression: From unconditionally stable explicit time integration to an inverse problem with parabolic PDE constraints for model calibration

A. Mang, A. Toma, T. A. Schuetz, S. Becker, C. Mohr, T. Eckey, D. Petersen & T. M. Buzug. Medical Physics, 39(7):4444–4460, 2012.

journaldoi

Talks

Tensorial surrogate models for parametric brain tumor growth dynamics in many-query regimes

A. Islam. Contributed talk at SIAM Annual Meeting (AN26; Session: Scalable and Hardware-Aware Algorithms for Large-Scale Inverse Problems), Cleveland, OH, US, 2026.

talk
Manifold-valued data: Classification, clustering, and embeddings

A. Mang. Invited talk (host: M. Vasilyeva) at Department of Mathematics & Statistics, Texas A&M University–Corpus Christi, Corpus Christi, TX, US, 2026.

talk
Principled computational methods informed by Riemannian geometry

A. Mang. Invited talk (host: T. G. Anderson) at Department of Computational Applied Mathematics & Operations Research, Rice University, Houston, TX, US, 2026.

talk
A generalized alternating nonlinear GMRES acceleration method

A. Mang. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 25; Session: High-Performance Solvers and Rapid PDE-Constrained Optimization), University of Texas at Austin, Austin, TX, US, 2025.

talk
Numerical methods for PDE-based diffeomorphic image registration

A. Mang. Contributed talk at SIAM Annual Meeting (AN25; Session: Image Analysis and Learning with Variational Models and PDEs), Montreal, QC, CA, 2025.

talk
CLAIRE: Constrained large deformation diffeomorphic image registration

A. Mang. Contributed talk at International Conference on Continuous Optimization (ICCOPT; Session: Recent Advances on PDE-Constrained Optimization Packages and Libraries), University of Southern California, Los Angeles, CA, US, 2025.

talk
Data- and model-driven approaches for solving inverse problems

A. Mang. Invited talk (host: D. Mishra, M. Zhong, X. Chen & D. Casey) at Scientific Machine Learning (SciML) Summer School, Institute of Data Science, Texas A&M University, College Station, TX, US, 2025.

talk
Transport-based variational Bayesian inference

P. Amiri. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE25; Session: Decision Making for Coupled Systems), Fort Worth, TX, US, 2025.

talk
Efficient numerical methods for PDE-constrained optimization problems in diffeomorphic image registration

J. Chhoa. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE25; Session: Methods for Image Processing and Numerical Modeling in Computational Medicine), Fort Worth, TX, US, 2025.

talk
Bayesian inference for large-scale inverse problems governed by hyperbolic dynamical systems

A. Mang. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE25; Session: Investigating Inverse Problems Using Bayesian Inference: Challenges and Advances), Fort Worth, TX, US, 2025.

talk
Efficient numerical methods for inverse problems governed by transport equations

A. Mang. Contributed talk at 3rd IACM Digital Twins in Engineering Conference & 1st ECCOMAS Conference on Artificial Intelligence and Computational Methods in Applied Sciences (DTE & AICOMAS 25; Session: Inverse Problems and Data Assimilation for Digital Twins), Paris, FR, 2025.

talk
Fast iterative methods for large-scale initial value control problems

A. Mang. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 24; Session: Recent Developments in Computational Inversion and Reduced Order Modelling), Baylor University, Waco, TX, US, 2024.

talk
Deep learning for Bayesian inverse problems governed by nonlinear ODEs

A. Mang. Contributed talk at SIAM Conference on Mathematics of Data Science (MDS24; Session: Recent Advances in Scientific Deep Learning), Atlanta, GA, US, 2024.

talk
Fast iterative methods for large-scale initial value control problems

A. Mang. Contributed talk at Modeling and Optimization: Theory and Applications Conference (MOPTA; Session: Computational and Theoretical Methods for High-Dimensional Optimization Problems), Lehigh University, Bethlehem, PA, US, 2024.

talk
Efficient numerical schemes for uncertainty quantification in diffeomorphic image registration governed by transport equations

A. Mang. 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.

talk
Data representations for parameter estimation with deep learning models for a dynamical system

J. Rudi. 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.

talk
CLAIRE: Scalable algorithms for diffeomorphic image registration

A. Mang. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Model- and Data-Driven Approaches in Motion Analysis), Atlanta, GA, US, 2024.

talk
Efficient numerical methods for optimization problems governed by transport equations

J. Chhoa. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Frontiers in Deep Image Reconstruction, Restoration Across Diverse Modalities), Atlanta, GA, US, 2024.

talk
Fast iterative solvers for PDE-constrained optimization in diffeomorphic image registration

J. Y. Kim. Contributed talk at SIAM Conference on Imaging Sciences (IS24; Session: Shapes, Manifolds and Geometry in Imaging), Atlanta, GA, US, 2024.

talk
Fast iterative solvers for initial value control problems with application to diffeomorphic image registration

A. Mang. Contributed talk at INFORMS Optimization Society Conference (IOS24; Session: Optimization of Complex Physics-Based Systems), Houston, TX, US, 2024.

talk
CLAIRE: Scalable algorithms for diffeomorphic image registration

A. Mang. Contributed talk at SIAM Conference on Uncertainty Quantification (UQ24; Session: Computational Tools for Large-Scale Inverse Problems and UQ), Trieste, IT, 2024.

talk
Efficient algorithms for inverse problems governed by dynamical systems

A. Mang. Invited talk (host: K. B. Nakshatrala) at Department of Civil and Environmental Engineering, University of Houston, Houston, TX, US, 2023.

talk
Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms

A. Mang. Contributed talk at U.S. National Congress on Computational Mechanics (USNCCM17; Session: Recent Advances in Large-Scale Optimal Engineering Design), Albuquerque, NM, US, 2023.

talk
Shape classification through the lens of geodesic flows of diffeomorphisms

A. Mang. Invited talk at Workshop on Leveraging Model- and Data-Driven Methods in Medical Imaging, Banff International Research Station for Mathematical Innovation and Discovery, Banff, AB, CA, 2023.

talk
Scalable algorithms for inverse problems governed by dynamical systems

A. Mang. Invited seminar talk at DSI Webinar, Hewlett Packard Enterprise Data Science Institute, University of Houston, Houston, TX, US, 2023.

talk
Deep neural networks for Bayesian inverse problems governed by nonlinear ODEs

A. Mang. Invited talk at Workshop on Learning for Inverse Problems, Istituto Nazionale di Alta Matematica, Rome, IT, 2023.

talk
Fast algorithms for PDE-constrained optimization under uncertainty

A. Mang. Contributed talk at SIAM Conference on Optimization (OP23; Session: Challenges in Inverse Problems with Massive Data), Seattle, WA, US, 2023.

talk
Fast algorithms for optimal control problems governed by geodesic flows of diffeomorphisms

A. Mang. Invited colloquium talk (host: J. Rudi) at Department of Mathematics, Virginia Tech, Blacksburg, VA, US, 2023.

talk
Efficient numerical methods for optimal control problems governed by geodesic flows of diffeomorphisms

A. Mang. Invited talk (host: S. Foucart) at Center for Approximation and Mathematical Data Analytics, Texas A&M University, College Station, TX, US, 2023.

talk
Fast algorithms for optimal control problems governed by geodesic flows of diffeomorphisms

A. Mang. Invited talk (host: S. Shontz) at Mathematical Methods and Interdisciplinary Computing Center (MMICC), University of Kansas, Lawrence, KS, US, 2023.

talk
Numerical methods for PDE-constrained optimization problems governed by hyperbolic equations

A. Mang. Invited colloquium talk (host: J. R. Romero) at Department of Mathematical Sciences, University of Puerto Rico, Puerto Rico, US, 2023.

talk
CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D

A. Mang. Invited seminar talk (host: G. Dogan) at ACMD Seminar, National Institute of Standards and Technology, Gaithersburg, MD, US, 2023.

talk
Fast algorithms for inverse problems governed by transport equations

A. Mang. Contributed talk at AMS Sectional Meeting (Session: Recent Developments on Analysis and Computation for Inverse Problems for PDEs), Atlanta, GA, US, 2023.

talk
Deep learning for Bayesian inverse problems governed by nonlinear ODEs

A. Mang. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE23; Session: Uncertainty Quantification for Data-Intensive Inverse Problems and Learning), Amsterdam, NL, 2023.

talk
CLAIRE: A framework for constrained large deformation diffeomorphic image registration

J. Chhoa. Invited talk at Texas Women in Mathematics Symposium, Austin, TX, US, 2023.

talk
Numerical methods for Bayesian inference for inverse transport problems

J. Y. Kim. Contributed talk at Joint Mathematics Meetings (JMM23), Boston, MA, US, 2023.

talk
CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D

A. Mang. Contributed talk at Joint Mathematics Meetings (JMM23), Boston, MA, US, 2023.

talk
Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms

A. Mang. Invited colloquium talk (host: H. Antil) at CMAI Colloquium, Center for Mathematics and Artificial Intelligence, George Mason University, Fairfax, VA, US, 2022.

talk
Randomized algorithms for preconditioning and uncertainty quantification in inverse transport problems

A. Mang. Contributed talk at SIAM Conference on Mathematics of Data Science (MDS22; Session: Randomized Methods in Large-Scale Inference and Data Problems), San Diego, CA, US, 2022.

talk
Fast algorithms for initial value control problems

A. Mang. Contributed talk at SIAM Conference on Imaging Sciences (IS22; Session: Partial Differential Equations and Control Problems), virtual, 2022.

talk
Automatic classification of shapes and shape deformations in 3D

H. Dabirian. Contributed talk at Joint Mathematics Meetings (JMM22), virtual, 2022.

talk
CLAIRE: A scalable multi-GPU solver for diffeomorphic image registration in 3D

N. Himthani. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 21; Session: Mathematics and Computation in Biomedicine), South Padre Island, TX, US, 2021.

talk
High-speed image registration for large-scale applications with CLAIRE

M. Brunn. Invited talk (host: B. Gris) at Workshop on Registering Medical Images, Paris, FR, 2021.

talk
Efficient numerical methods for initial value control problems

J. Y. Kim. Contributed talk at SIAM Annual Meeting (AN21; Session: Fast Analysis Based Algorithms for Solution of Forward and Inverse Problems), virtual, 2021.

talk
Uncertainty quantification in diffeomorphic image registration

A. Mang. Contributed talk at SIAM Annual Meeting (AN21; Session: Uncertainty Quantification Strategies for Data-Driven, Large-Scale Problems), virtual, 2021.

talk
Fast multi-GPU diffeomorphic image registration for large-scale applications

M. Brunn. Contributed talk at U.S. National Congress on Computational Mechanics (USNCCM16; Session: Imaging-Based Methods in Computational Medicine), virtual, 2021.

talk
CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D

A. Mang. Contributed talk at SIAM Conference on Optimization (OP21; Session: Large-Scale Optimization for Inverse Problems and Learning in Medical Imaging), virtual, 2021.

talk
Uncertainty quantification for inverse transport problems

A. Mang. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE21; Session: Uncertainty Quantification for Data-Intensive Inverse Problems and Learning), virtual, 2021.

talk
Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms

A. Mang. Invited seminar talk (host: T. Bui-Thanh) at Oden Seminar, Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, virtual, 2021.

talk
Multi-node multi-GPU diffeomorphic image registration for large-scale imaging problems

N. Himthani. Contributed talk at ACM/IEEE Conference on Supercomputing (SC20), virtual, 2020.

talk
Statistical analysis of shapes and shape deformations in 3D

A. Mang. Contributed talk at Joint Mathematics Meetings (JMM20; Session: AMS Special Session on Geometry in the Mathematics of Data Science), virtual, 2020.

talk
Classification of 3D shapes and shape deformations

A. Mang. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 20; Session: Scientific Machine Learning), virtual, 2020.

talk
Fast GPU-accelerated diffeomorphic image registration in 3D

A. Mang. Contributed talk at SIAM Conference on Imaging Sciences (IS20; Session: Fast Algorithms for Inverse Problems and Their Applications), virtual, 2020.

talk
Automatic classification of 3D shapes and shape deformations

A. Mang. Contributed talk at SIAM Conference on Mathematics of Data Science (MDS20; Session: Integration of Model-Based and Data-Based Methods with Medical Imaging), virtual, 2020.

talk
Estimating oncogenic parameters via biophysical brain tumor growth modeling

A. Mang. Invited talk at Annual Meeting of the Society for Neuro-Oncology (SNO19; Session: Computational Neuro-Oncology), Phoenix, AZ, US, 2019.

talk
Fast GPU-accelerated diffeomorphic image registration in 3D

A. Mang. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 19; Session: Recent Advances in Inverse Problems and Imaging), Southern Methodist University, Dallas, TX, US, 2019.

talk
MRI-driven inverse problems for brain tumor growth models in personalized medicine

S. Subramanian. Contributed talk at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 19; Session: Recent Advances in Inverse Problems and Imaging), Southern Methodist University, Dallas, TX, US, 2019.

talk
Fast algorithms for nonlinear optimal control for diffeomorphic registration

A. Mang. Invited talk (host: R. Herzog) at Special Semester on Optimization, Workshop on New Trends in PDE-Constrained Optimization, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, AT, 2019.

talk
Uncertainty quantification in nonlinear optimal control problems for diffeomorphic registration

A. Mang. Contributed talk at AMS Sectional Meeting (Session: Uncertainty Quantification Strategies for Physics Applications), University of Wisconsin–Madison, Madison, WI, US, 2019.

talk
Fast algorithms for nonlinear optimal control problems for diffeomorphic registration

A. Mang. Invited colloquium talk (host: C. Brune) at Department of Applied Mathematics (DAMUT Colloquium), University of Twente, Enschede, NL, 2019.

talk
Fast ADMM-type algorithms for diffeomorphic shape matching

J. Herring. Contributed talk at International Congress on Industrial and Applied Mathematics (ICIAM19; Session: Fast Iterative Methods for Large-Scale Inverse Problems in Imaging), Valencia, ES, 2019.

talk
Fast diffeomorphic image registration in 3D

A. Mang. Contributed talk at International Congress on Industrial and Applied Mathematics (ICIAM19; Session: Fast Iterative Methods for Large-Scale Inverse Problems in Imaging), Valencia, ES, 2019.

talk
Fast algorithms for optimal control based diffeomorphic shape matching

J. Herring. Contributed talk at Applied Inverse Problems Conference (AIP19; Session: Numerical Methods for Optimal Control Problems in Imaging), Grenoble, FR, 2019.

talk
Fast algorithms for initial value control problems in image registration

A. Mang. Contributed talk at Applied Inverse Problems Conference (AIP19; Session: Analysis and Fast Numerical Methods for Inverse Problems and Their Applications), Grenoble, FR, 2019.

talk
Diffeomorphic shape matching: Fast algorithms for nonlinear optimal control problems

A. Mang. Invited talk (host: M. Mougeot) at Éléments de mathématique pour l'intelligence artificielle, École Normale Supérieure Paris-Saclay, Cachan, FR, 2019.

talk
Optimal control of PDEs: Application to brain tumor modeling

A. Mang. Contributed talk at AMS Sectional Meeting (Session: Validation and Verification Strategies in Multiphysics Problems), University of Arkansas, Fayetteville, AR, US, 2018.

talk
Fast solvers for inverse transport problems

A. Mang. Contributed talk at SIAM Annual Meeting (AN18; Session: Inverse Problems), Portland, OR, US, 2018.

talk
CLAIRE: A parallel solver for constrained diffeomorphic image registration

A. Mang. Invited talk (host: J. Kast) at Mint Medical GmbH, Heidelberg, DE, 2018.

talk
Coupling brain-tumor biophysical models and diffeomorphic image registration

K. Scheufele. Contributed talk at SIAM Conference on Imaging Sciences (IS18; Session: Imaging, Modeling, Visualization and Biomedical Computing), Bologna, IT, 2018.

talk
Block-Newton iterative solvers for joint inverse tumor growth and image registration

K. Scheufele. Contributed talk at Copper Mountain Conference on Iterative Methods (Session: Imaging), Copper Mountain, CO, US, 2018.

talk
Parallel algorithms for hyperbolic PDE-constrained optimization problems

A. Mang. Contributed talk at International Workshop on Parallel Matrix Algorithms and Applications (PMAA18; Session: Krylov and Regularization Methods for Large-Scale Inverse Problems), ETH Zürich, Zürich, CH, 2018.

talk
CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration

A. Mang. Invited talk (host: M. Mehl) at Department of Computer Science, University of Stuttgart, Stuttgart, DE, 2018.

talk
CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration

A. Mang. Contributed talk at SIAM Conference on Imaging Sciences (IS18; Session: Diffeomorphic Image Registration: Numerics, Applications, and Theory), Bologna, IT, 2018.

talk
CLAIRE: A distributed-memory solver for constrained diffeomorphic image registration

A. Mang. Invited talk (host: J. Chan) at Computational and Applied Mathematics Department, Rice University, Houston, TX, US, 2018.

talk
Computational mathematics meets medicine: Formulations, numerics, and parallel computing

A. Mang. Invited seminar talk (host: J. Nagy) at Numerical Analysis and Scientific Computing Seminar, Department of Mathematics & Computer Science, Emory University, Atlanta, GA, US, 2018.

talk
Preconditioners for the reduced space Hessian in hyperbolic optimal control problems

A. Mang. Contributed talk at International Conference on Preconditioning Techniques for Scientific and Industrial Applications (Session: Preconditioning Methods in Large-Scale Ill-Posed Inverse Problems), Vancouver, BC, CA, 2017.

talk
A distributed-memory Newton–Krylov solver for inverse transport problems

A. Mang. Contributed talk at U.S. National Congress on Computational Mechanics (USNCCM14; Session: Advances in Computational Methods for Inverse Problems), Montreal, QC, CA, 2017.

talk
A distributed-memory Newton–Krylov solver for constrained diffeomorphic image registration

A. Mang. Contributed talk at Applied Inverse Problems Conference (AIP17), Hangzhou, CN, 2017.

talk
A framework for scalable biophysics-based image analysis

A. Gholami. Contributed talk at ACM/IEEE Conference on Supercomputing (SC17), Denver, CO, US, 2017.

talk
Parallel algorithms for optimal control based diffeomorphic image registration

A. Mang. Contributed talk at Houston Imaging Sciences Symposium, Houston, TX, US, 2017.

talk
Parallel algorithms for PDE-constrained optimization problems with hyperbolic constraints

A. Mang. Contributed talk at SIAM Conference on Computational Science and Engineering (CSE17; Session: Fast Solvers for Large-Scale Inverse Problems in Imaging), Atlanta, GA, US, 2017.

talk

Posters

Efficient numerical methods for continuous-time neural networks and normalizing flows

C. Chukwuemeka. Poster at SIAM Conference on Mathematics of Data Science (MDS26), Salt Lake City, UT, US, 2026.

poster
Evaluating self-supervised learning approaches for image denoising under non-Gaussian noise

S. Bari. Poster at SIAM Conference on Mathematics of Data Science (MDS26), Salt Lake City, UT, US, 2026.

poster
Stein variational inference for Bayesian parameter estimation in the FitzHugh–Nagumo model

P. Amiri. Poster at ICERM Workshop on Bayesian Inverse Problems and UQ, Providence, RI, US, 2026.

poster
Bayesian inference on SPD manifolds: Geometry-aware learning of posterior covariances

P. Amiri. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 25), University of Texas at Austin, Austin, TX, US, 2025.

poster
Efficient numerical methods for multispecies tumor growth simulations

A. Islam. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 25), University of Texas at Austin, Austin, TX, US, 2025.

poster
Model-constrained deep learning for parameter estimation in semi-linear parabolic PDEs

M. Konduri. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 25), University of Texas at Austin, Austin, TX, US, 2025.

poster
Efficient numerical methods for multispecies tumor growth simulations

A. Islam. Poster at ChAMELEON Summer School, University of Houston, Houston, TX, US, 2025.

poster
Exploration of the workings of neural networks

A. Nair. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2025.

poster
Neural networks for inference in optimal control governed by the FitzHugh–Nagumo model

G. Villalobos. Poster at SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, GA, US, 2024.

poster
Efficient clustering on Riemannian manifolds using Fréchet embeddings

J. Shi. Poster at SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, GA, US, 2024.

poster
DNNs for parameter identification in semi-linear parabolic PDEs

M. Konduri. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 24), Baylor University, Waco, TX, US, 2024.

poster
Stochastic Newton–MCMC for Bayesian inference

B. Gutierrez. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2023.

poster
Stochastic Newton–MCMC for Bayesian inference

B. Gutierrez. Poster at National Diversity in STEM Conference, Phoenix, AZ, US, 2023.

poster
Fast evaluation of PDE operators for optimization and uncertainty quantification in problems governed by transport equations

J. Y. Kim. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 22), University of Houston, Houston, TX, US, 2022.

poster
Inference for the FitzHugh–Nagumo model through ANNs

G. Villalobos. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 22), University of Houston, Houston, TX, US, 2022.

poster
Automatic classification of deformable shapes

R. Sultamuratov. Poster at SIAM Texas-Louisiana Sectional Meeting (SIAM TX-LA 22), University of Houston, Houston, TX, US, 2022.

poster
Fast evaluation of kernel distances

Y. Syed. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2020.

poster
Optimization and optimal control in machine learning

A. H. A. Syed. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2020.

poster
Regularization schemes for linear inverse problems

H. Rosso. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2020.

poster
Fast 3D diffeomorphic image registration on GPUs

M. Brunn. Poster at ACM/IEEE Conference on Supercomputing (SC19), Denver, CO, US, 2019.

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Efficient algorithms for geodesic shooting in diffeomorphic image registration

F. Huber. Poster at International Congress on Industrial and Applied Mathematics (ICIAM19), Valencia, ES, 2019.

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GPU-accelerated interpolation for 3D image registration

N. Himthani. Poster at ACM/IEEE Conference on Supercomputing (SC18), Dallas, TX, US, 2018.

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Fast and stable algorithms for deep learning

B. Gonzalez. Poster at Undergraduate Research Day, University of Houston, Houston, TX, US, 2018.

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