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Miriam SchulteView profile

Professor

• High-Performance Computing (HPC)
• Parallel and Distributed Systems
• Scientific Computing
• +5 more

Miriam Schulte is a Professor at the Institute for Parallel and Distributed Systems (IPVS) at the University of Stuttgart . As Dean of Studies SimTech , she leads academic programs in simulation technology. Her research focuses on high-performance computing , multi-physics simulations , and scientific software development , with significant contributions to coupling libraries like preCICE and biophysical frameworks like OpenDiHu . Key Research Areas: High-Performance Computing (HPC) Multi-physics and Fluid-Structure Interaction (FSI) Sparse Grids and Hierarchical Numerical Methods Machine Learning in Simulation Software Parallel and GPU-Accelerated Algorithms Advising: Guided student projects on quantum neural networks , GPU-optimized sparse grids , and SYCL-based HPC frameworks . Coordinated SimTech Research Modules and IPVS/SGS team initiatives. Software Leadership: Maintains preCICE (coupling library for multi-physics) Develops OpenDiHu (neuromuscular simulations) Advances PLSSVM (parallel SVM library) and SG++ (sparse grids) Her recent publications (2022–2025) emphasize machine learning integration with multi-physics simulations , including groundwater heat pumps , brain tumor modeling , and neuromuscular EMG prediction . She actively promotes open-source software sustainability and collaborative research infrastructure at the University of Stuttgart.

Mario OhlbergerView profile

Professor

• Numerical Analysis
• Machine Learning
• Scientific Computing
• +3 more

Prof. Dr. Mario Ohlberger is a faculty member in the Department of Mathematics and Computer Science at the University of Münster, Germany. As a leading researcher in numerical analysis and scientific computing, he contributes to the Cluster of Excellence 2044 'Mathematics Münster: Dynamics – Geometry – Structure' and the Mathematical Research Data Initiative (MaRDI). His work integrates machine learning with classical numerical methods. University: University of Münster Research Focus: Numerical analysis for PDEs, model reduction, machine learning, multiscale methods Key Projects: EXC 2044 (subprojects C2 and C4), MaRDI His recent publications emphasize adaptive reduced basis methods, multi-fidelity learning, and surrogate modeling for parameterized PDEs, with applications in oil recovery and reactive transport. He has supervised numerous theses and taught courses on numerical analysis, scientific computing, and model reduction. Scientific awards include the Eliteförderprogramm für Postdoktoranden (2002), Ferdinand-von-Lindemann-Preis (2001), and a 1994 teaching award. Current teaching includes lectures on differential equations and seminars on advanced numerical methods.

Sebastian BrandstäterView profile

Lecturer

• Scientific Machine Learning
• Inverse analysis & Bayesian Inference
• Uncertainty Quantification
• +5 more

Dr. Sebastian Brandstäter serves as Lecturer at the Institute for Mathematics and Computer-Based Simulation, Bundeswehr University Munich since 2022. His academic trajectory includes research associate positions at Hamburg University of Technology (2021) and Technical University of Munich (2016-2021). His research focuses on: Scientific Machine Learning for biomechanical systems Uncertainty Quantification and Bayesian Inference Global Sensitivity Analysis of complex models Multi-Physics & Multi-Scale Modeling of biological tissues Open-source scientific software development Dr. Brandstäter's work centers on gastrointestinal biomechanics, particularly computational modeling of gastric electromechanics and motility. He has pioneered applications of Gaussian-process metamodelling for sensitivity analysis in vascular and gastric systems, and develops open-source frameworks (QUEENS, 4C) that enable efficient multi-query analysis of large-scale models. He actively supervises student theses on patient-specific modeling and computational biomechanics, teaches advanced numerical methods courses, and contributes to the scientific community through conference organization, peer review, and international collaborations. His recent work demonstrates increasing emphasis on data-driven surrogate modeling and solver-independent computational frameworks for biomedical applications.

Thomas SchmidtsView profile

Senior Lecturer

• Roman Archaeology
• Ancient Seafaring
• Harbor Cities
• +5 more

PD Dr. Thomas Schmidts is a German archaeologist specializing in Roman archaeology, with particular expertise in ancient seafaring, harbor cities, and military infrastructure. Based at the Leibniz Center for Archaeology (RGZM) in Mainz, he serves as acting head of the Competence Area Roman Archaeology since 2019, having previously led the Research Area Ancient Shipping from 2006-2019. His academic credentials include a habilitation from Heidelberg University (2014) and an 'Umhabilitation' from Goethe University Frankfurt (2019), qualifying him as a Privatdozent with senior academic standing. Dr. Schmidts' research focuses on Roman provincial development, particularly along coastlines, with extensive work on Thracian harbor cities like Ainos. His interdisciplinary approach combines archaeological evidence with historical sources and increasingly incorporates geoarchaeological methods. Key research areas include Roman military construction (especially stamped military bricks), the organization of commercial shipping in the Roman Empire, and the influence of Roman administration on harbor city development across the Mediterranean. His publication record shows consistent scholarly output through 2022, with recent work emphasizing interdisciplinary harbor city research under the German Research Foundation's Priority Programme 1630 'Harbours from the Roman period to the Middle Ages.' His publications demonstrate expertise spanning ancient numismatics, settlement archaeology, military infrastructure, and Byzantine harbor development, reflecting the breadth of his research interests in Roman provincial archaeology. Dr. Schmidts has received academic training at Ludwig-Maximilians-Universität München and Universität zu Köln, with his habilitation representing a significant contribution to understanding military construction activity throughout the Roman provinces. His research demonstrates how material evidence like stamped bricks can reveal complex patterns of military involvement in civilian infrastructure development across the empire.