Multiscale Finite Element Methods Professors and Supervisors in Austria

Petter E. BjørstadView profile

Professor

Graz University of TechnologyAustria

Petter E. Bjørstad is a Professor of Computer Science and Mathematics at the University of Bergen, Norway, where he has served as Head of the Department of Informatics since 2010. Previously, he was Director of the Bergen Center for Computational Science (2000-2010) and Professor in both the Department of Mathematics (2006-2010) and Department of Informatics (1985-2005). He also held a position as Professor of Mathematics at the University of Minnesota during 1996-1997 on unpaid leave from Bergen. Dr. Bjørstad earned his PhD in Computer Science from Stanford University in 1980, following which he completed a postdoctoral fellowship at the Courant Institute of Mathematical Sciences at New York University. Before entering academia, he worked as a Principal Engineer at Det Norske Veritas from 1981-1985. Dr. Bjørstad's research focuses on numerical analysis and high-performance computing, with particular expertise in domain decomposition methods, parallel algorithms for elliptic partial differential equations, and scientific computing. His work bridges theoretical mathematics with practical computational challenges, especially in industrial applications. He has led significant research projects including 'Multiscale Domain Decomposition: Algorithms and Analysis' (2010-2014), funded by the Research Council of Norway and the University of Bergen. His publication record demonstrates consistent contributions to the field of numerical methods and parallel computing over several decades. The research trends show a strong focus on developing efficient algorithms for solving partial differential equations through domain decomposition techniques, with applications spanning structural analysis, reservoir simulation, semiconductor device modeling, and other industrial contexts. His work increasingly emphasizes practical implementation on modern parallel architectures including SIMD and MIMD systems. Large number of research grants from Norway and the European Union Dr. Bjørstad has been actively involved in mentoring students and collaborating with industry through projects like the Europort effort, where industrial codes were ported to parallel computing platforms. His laboratory for parallel computing (Parallab) has been instrumental in advancing practical applications of high-performance computing since its establishment in 1985 with Europe's first 64-processor Intel hypercube. The lab has evolved to include multiple MIMD machines including an Intel Paragon, Parsytec GC/Power-Plus, and DEC α-cluster. As Head of the Department of Informatics, Dr. Bjørstad leads one of Norway's premier computing research units with expertise spanning theoretical computer science, numerical methods, and practical applications in various scientific domains. His leadership has helped establish Bergen as a significant center for computational science in Europe.

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Adnan IbrahimbegovicView profile

Professor

Graz University of TechnologyAustria

Adnan Ibrahimbegovic is Professor 'Classe Exceptionnelle 2' (highest possible professor rank in France) at Université de Technologie de Compiègne – Alliance Sorbonne Université, where he holds the Chair for Computational Mechanics. Elected to the Academy of Europe in 2022, he also serves as a Senior Member of the Institut Universitaire de France since 2015. His educational background includes: 1997: Habilitation for supervising research in Mechanics, University Pierre & Marie Curie, Paris, France 1989: PhD in Computational Mechanics, University of California at Berkeley, USA 1984: MSc in Structural Mechanics and Engineering, University of Zagreb, Croatia (ex-Yugoslavia) Professor Ibrahimbegovic's research spans structural mechanics, computational mechanics, and solid mechanics. His career has focused on membrane finite elements with drills for connecting structure and continuum FE models (his 1990 IJNME paper became the main reference in the field), finite rotations geometrically exact structure mechanics models (with top papers collecting over 1000 citations), inelastic constitutive models for brittle and ductile fracture, and code-coupling for multiphysics-multiscale problems. His work has evolved through three distinct phases: 1989-1999 consolidation, 1999-2014 leadership, and 2014 onward innovation. His research has had significant industrial impact through collaborations with major French nuclear industry entities (EDF, CEA, IRSN) and government institutes for nuclear safety (IRSN), with applications in structural durability quantification. He maintains extensive international partnerships across Germany, Finland, Brazil, Mexico, Korea, and Switzerland. Notable honors include: Senior Member Chair of Institut Universitaire de France (2020, 2015) IACM Fellow Award (2006) Humboldt Research Award (2005) Academy Member of Sciences and Arts of Bosnia and Herzegovina (2019) Multiple international professorships across five continents Throughout his career, Professor Ibrahimbegovic has demonstrated exceptional research leadership, directing teams of 35-45 researchers at institutions like Ecole Normale Supérieure de Cachan. His work bridges theoretical mechanics with practical engineering applications, particularly in nuclear safety where structural integrity and durability are critical. He currently leads the Mechanics-Mathematics platform at UTC with 35 researchers and interdisciplinary innovation projects.

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Amirreza KhodadadianView profile

Researcher

Vienna University of TechnologyAustria

Amirreza Khodadadian is a researcher affiliated with TU Wien's E194-06 Machine Learning Research Group. His work focuses on computational methods for nanosensors, numerical solutions to stochastic partial differential equations, and Bayesian inversion techniques. He collaborates extensively with Prof. Clemens Heitzinger and other researchers in fields like nanotechnology and applied mathematics. Key research areas include meshless numerical methods (e.g., interpolating element free Galerkin), optimal multi-level Monte Carlo algorithms, and sensor modeling using machine learning and Bayesian approaches. His publications address challenges in nanoelectronics, groundwater contamination modeling, and phase-field fracture simulations. Khodadadian's contributions span theoretical developments and practical applications, including work on carbon nanotube field-effect transistors and hyper-parameter optimization for autoencoder-based systems. He actively participates in projects funded by the Austrian Science Fund (FWF) and collaborates across disciplines to advance computational sensor technology.

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Elias KarabelasView profile

Assistant Professor

University of GrazAustria

Elias Karabelas serves as Assistant Professor at the Institute of Mathematics and Scientific Computing within the Faculty of Natural Sciences at University of Graz. His research integrates advanced computational methods with biomedical applications, particularly in cardiac modeling and fluid dynamics. His primary research interests span Computational Simulation, Artificial Neural Networks, Biomechanics, and Numerical Mathematics. Karabelas develops cutting-edge finite element frameworks for simulating cardiac hemodynamics and incompressible elasticity, with strong emphasis on robustness and clinical applicability. His publications demonstrate expertise in multiscale cardiac modeling, fluid-structure interaction, and numerical methods for biomedical engineering. Recent work focuses on sensitivity analysis of heart hemodynamics and obstacle modeling in fluid flow. Scientific Awards: IEEE TBME Featured Research (2022) for "Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models" Academic Service: Karabelas actively contributes to scholarly communities as Editor for Frontiers in Physiology (since 2021), Reviewer for Advanced Modeling and Simulation in Engineering Sciences (since 2020) and Biomedizinische Technik (since 2018). He holds memberships in the American Mathematical Society, European Mechanics Society, and Austrian Society for Biomedical Engineering. As Principal Investigator of the BioTechMed-Graz Young Researcher Group (2023-2027), he leads the "Computational Inference of Pressure Fields from Non-Invasively Measured Flow Patterns" project, developing novel methods for non-invasive cardiac diagnostics.

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Klaus RoppertView profile

Researcher

Graz University of TechnologyAustria

Prof. Klaus Roppert is a researcher at the Institute for Fundamentals and Theory of Electrical Engineering, Technische Universität Graz. His work focuses on electromagnetism, hysteresis modeling, and computational methods in electrical engineering. He holds degrees including Dipl.-Ing., Dr.techn., and BSc. Research Interests: Electromagnetic field theory and hysteresis modeling Finite element analysis for nonlinear systems Aeroacoustic simulations and fluid-structure interactions Material characterization and parameter identification Development of open-source simulation tools (e.g., openCFS) Recent work emphasizes transient analysis of transformers, rotational loss calculations, and energy-based vector hysteresis frameworks. He has contributed to modeling MEMS devices and EMI filters, with a focus on DC-biased components. Teaching and supervision: Involvement in courses and final theses supervision at TU Graz. Labs/Tools: Core contributor to openCFS, an open-source platform for coupled field simulations in acoustics and electromagnetics.

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Harald ÖzeltView profile

Researcher

University for Continuing Education KremsAustria

Harald Özelt is a Researcher at the Center for Modelling and Simulation within the University for Continuing Education Krems. His work focuses on computational magnet design, micromagnetics, and machine learning applications in materials science. He leads projects such as 'Data Driven Magnet Design through Combinatorial Synthesis and Micromagnetic Graph Networks' (FWF-funded) and 'Design of Nanocomposite Magnets by Machine Learning' (FWF-funded). His research emphasizes the development of advanced simulation techniques and optimization strategies for magnetic materials, particularly permanent magnets and composite systems. Key Projects: Magnetic Multiscale Modelling Suite (EU-funded, PI: Thomas Schrefl) Data Driven Magnet Design (FWF-funded, PI: Özelt) Design of Nanocomposite Magnets (FWF-funded, PI: Özelt) Özelt's research interests include the simulation of magnetic materials' microstructure-property relationships, defect manipulation for enhanced coercivity, and the integration of physics-informed machine learning into computational frameworks. He has authored numerous peer-reviewed articles in journals like Journal of Magnetism and Magnetic Materials and Frontiers in Materials , focusing on topics such as micromagnetic modeling, hysteresis optimization, and magnet design. His lectures and conference presentations highlight contributions to inverse design methodologies, multiscaling strategies in magnet design, and the use of neural networks for predicting magnetic properties. He collaborates internationally on projects addressing sustainable materials and rare-earth reduction in permanent magnets.

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Gino HrkacView profile

Professor

Vienna University of TechnologyAustria

Prof. Gino Hrkac is affiliated with the Institut für Analysis und Scientific Computing at TU Wien. His research focuses on computational micromagnetics, spintronics, and numerical methods for materials science. He leads projects simulating magnetic skyrmion dynamics and spintronic devices using advanced finite element methods. Collaborations include work on chiral magnetic systems and spin diffusion models. Main affiliation: TU Wien (E101 institute) Key research areas: Numerical magnetism, spin wave dynamics, topological materials His work emphasizes developing convergent numerical integrators for micromagnetic simulations. Recent studies address skyrmion stabilization under spin torques and thermal effects. He co-authored over 25 publications since 2012, focusing on computational frameworks like Commics for micromagnetic modeling.

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Karl HollausView profile

Researcher

Vienna University of TechnologyAustria

Prof. Karl Hollaus is a researcher at TU Wien's Computational Mathematics in Engineering Research Group within the Faculty of Mathematics and Geoinformation . His work focuses on computational electromagnetics , multiscale finite element methods (MSFEM) , and eddy current problem simulations . He leads projects such as Effektive Materialtransformation für ferromagnetische Bleche and Magnetik für Filter , addressing challenges in laminated iron cores and magnetic materials. His research emphasizes high-performance computational techniques for engineering applications, including nonlinear systems and material modeling. Key research interests include domain decomposition methods , vector hysteresis modeling , and effective interface conditions . He has developed innovative approaches for simulating eddy current losses, magnetic flux routing in electrical machines, and ventilation panel thermal behavior using multiscale FEM. Collaborators include Markus Schöbinger and Valentin Hanser, with whom he co-authored numerous conference papers and journal articles. Education: Dipl.-Ing. (Master's) and Dr.techn. (PhD) in engineering. Awards: None explicitly listed. Recent publications (2022–2023) highlight advancements in harmonic balance methods combined with model order reduction for nonlinear systems, magnetic microwire materials for flux guidance, and effective material modeling for laminated cores. His work bridges theoretical computational mathematics with practical engineering solutions, particularly in electromechanical systems and metamaterials. Advising: Supervised PhD candidates Valentin Hanser (2021 thesis on eddy current computations) and Markus Schöbinger (multiple co-authored presentations). Active in TU Wien's Network Lab and contributes to the Scientific Computing and Modelling Research Division .

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Florian FeistView profile

Researcher

Graz University of TechnologyAustria

Florian Feist is a researcher at the Institute for Vehicle Safety (VSI) at Graz University of Technology. His work focuses on automotive materials, battery crash safety, and sustainable lightweight composites. Research Interests: Automotive engineering, crash simulation, battery lifecycle analysis, and biomechanical modeling. Recent projects include wood-steel hybrid components , Li-ion battery crash behavior , and bio-based foam for helmets . Scientific Contributions: Key themes in his publications (2024-2025) include multiscale battery modeling , stitched wood composites , and dynamic material testing . His work bridges mechanical engineering , material science , and sustainable design .

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Herbert EggerView profile

Professor

Johannes Kepler University LinzAustria

Herbert Egger is a Professor of Numerical Analysis and Scientific Computing at Johannes Kepler University (JKU) Linz and heads the Institute of Numerical Mathematics. He is also a Group Leader at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and Scientific Director at the Austrian Academy of Sciences. His research focuses on advanced numerical methods for partial differential equations, including structure-preserving discretizations, inverse problems, and computational electromagnetics. Current projects include SFB F90-N (CREATOR) for electric machine co-simulation, SPP 2256 for phase-field modeling in additive manufacturing, and TRR 146 on multiscale soft matter systems. Key research areas: mixed/hybrid finite element methods, energy-based modeling, model order reduction, radiative transfer, and inverse problem stabilization. His recent work emphasizes nonlinear magnetostatics, phase separation models, and efficient solvers for time-dependent systems. Egger collaborates internationally with institutions like TU Eindhoven and TU Darmstadt.

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