Publications

Peer-reviewed publications

Submitted work

• Scalable Bayesian Inference of Large Simulations via Asynchronous Prefetching Multilevel Delayed Acceptance
  M. Kruse, Z. Niu, S. Wolf, M. B. Lykkegaard, M. Bader, A. Gabriel, L. Seelinger

2025

• Democratizing Uncertainty Quantification
  L. Seelinger, A. Reinarz, M. B. Lykkegaard, R. Akers, A. M. A. Alghamdi, D. Aristoff, W. Bangerth, J. Bénézech, M. Diez, K. Frey, J. D. Jakeman, J. S. Jørgensen, K. Kim, B. M. Kent, M. Martinelli, M. Parno, R. Pellegrini, N. Petra, N. A. B. Riis, K. Rosenfeld, A. Serani, L. Tamellini, U. Villa, T. J. Dodwell, R. Scheichl
  Journal of Computational Physics (link) (preprint)

2024

• Scalable multiscale-spectral GFEM with an application to composite aero-structures
  J. Bénézech, L. Seelinger, P. Bastian, R. Butler, T. Dodwell, C. Ma, R. Scheichl
  Journal of Computational Physics (link) (preprint)
• Modeling and Quantifying Parameter Uncertainty of Co-seismic Non-classical Nonlinearity in Rocks
  Z. Niu, A. Gabriel, L. Seelinger, H. Igel
  Journal of Geophysical Research: Solid Earth (link) (preprint)

2023

• UM-Bridge: Uncertainty Quantification and Modeling Bridge
  L. Seelinger, V. Cheng-Seelinger, A. Davis, M. Parno, A. Reinarz
  Journal of Open Source Software (link)

2022

• PhD Thesis: Multiscale Methods for High Performance Uncertainty Quantification
  L. Seelinger
  Heidelberg University (link)
• Multilevel Spectral Domain Decomposition
  P. Bastian, R. Scheichl, L. Seelinger, A. Strehlow
  SIAM Journal on Scientific Computing (link) (preprint)

2021

• MUQ: The MIT Uncertainty Quantification Library
  M. Parno, A. Davis, L. Seelinger
  Journal of Open Source Software (link)
• High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo
  L. Seelinger, A. Reinarz, L. Rannabauer, M. Bader, P. Bastian, R. Scheichl
  The International Conference for High Performance Computing, Networking, Storage, and Analysis 2021 (link) (preprint)

2020

• A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
  L. Seelinger, A. Reinarz, R. Scheichl
  Parallel Processing and Applied Mathematics, LNCS (link) (preprint)
• High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites
  R. Butler, T. Dodwell, A. Reinarz, A. Sandhu, R. Scheichl, L. Seelinger
  Computer Physics Communications vol. 249 (link) (preprint)

2018

• Dune-composites – A new framework for high-performance finite element modelling of laminates
  A. Reinarz, T. Dodwell, T. Fletcher, L. Seelinger, R. Butler, R. Scheichl
  Composite Structures (link) (preprint)

Other publications

2024

• Talk and tutorial: Enabling Uncertainty Quantification
  A. Reinarz, L. Seelinger
  PyMCon Web Series (talk, tutorial)

• Blog post: UM-Bridge: leveraging Kubernetes for scalable Uncertainty Quantification in the cloud
  A. Reinarz, L. Seelinger
  Google Cloud Blog (link)

2023

• SIAM News article: Lowering the Entry Barrier to Uncertainty Quantification
  A. Reinarz, L. Seelinger
  SIAM News, Oct. 2023, (link)

• Blog post: Enabling Complex Scientific Applications
  A. Reinarz, L. Seelinger
  Better Scientific Software (link)

• Preprint: Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
  L. Seelinger, A. Reinarz, J. Bénézech, M. Lykkegaard, L. Tamellini, R. Scheichl
  Arxiv (link)

Workshops / minisymposia

• Organizer: GAMM UQ Workshop Frontiers of Uncertainty Quantification 2024, Braunschweig (link)
• Organizer: Minisymposium Algorithms and Software for Large-Scale UQ, SIAM Conference on Uncertainty Quantification (UQ24), Trieste
• Organizer: UM-Bridge Workshop, online 2023 (program)
• Invited speaker KCDS (KIT Graduate School Computational and Data Science) Summer School 2023, KIT Karlsruhe
• Organizer minisymposium Advanced UQ with Challenging Models - Software and Methods, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam
• Organizer UM-Bridge Workshop, online 2022
• Organizer MUQ Workshop, online 2020

Reviews

• 2024 Paper review for SIAM Journal on Scientific Computing
• 2024 Paper review for Frontiers in Environmental Economics
• 2024 Paper review for PeerJ Computer Science
• 2023 Paper review for PeerJ Computer Science
• 2023 Paper review for Inverse Problems (IOP)
• 2023 Paper review for PeerJ Computer Science
• 2022 Paper review for ACM Transactions on Mathematical Software (TOMS)
• 2022 Paper review for Journal of Scientific Computing
• 2020 Paper review for Journal of Scientific Computing
• 2019 Paper review for Journal of Scientific Computing

Workshop talks

• Speaker at ESI Vienna’s thematic programme Computational Uncertainty Quantification: Mathematical Foundations, Methodology & Data, 2022 (recorded talk, program)
• Speaker Indo-German Workshop on Water Availability and Quality Under Varying Environmental and Urban Conditions, Heidelberg 2021 (program)
• Speaker 2nd CUI-IWR Joint Workshop on Numerical Solutions of Partial Differential Equations, 2018

Conference talks

2023

• DUNE user meeting
• SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen
• SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam

2022

• SIAM Conference on Imaging Science (SIAM IS), Berlin, online
• SIAM Conference on Parallel Processing (SIAM PP), Seattle, online

2021

• International Conference for High Performance Computing, Networking, Storage and Analysis, St Louis, online (recorded talk)
• 7th bwHPC Symposium, online
• 9th International Conference on Coupled Problems in Science and Engineering, online
• SIAM Conference on Computational Science and Engineering (SIAM CSE), Fort Worth, online

2020

• SIAM Conference on Uncertainty Quantification (SIAM UQ), München

2019

• SIAM Conference on Computational Science and Engineering (SIAM CSE), Spokane (recorded talk)

2018

• Heidelberg Graduate School Annual Colloqium, Altleiningen
• DUNE Developer Meeting, Stuttgart
• 6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics (ECCM-ECFD), Glasgow
• Computational Methods in Water Resources (CMWR), St Malo
• PDE Software Frameworks (PDESoft), Bergen
• SIAM Conference on Uncertainty Quantification (SIAM UQ), Los Angeles
• High Performance Scientific Computing (HPSC), Hanoi