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Vladimir Kazeev is an Assistant Professor at the Faculty of Mathematics, University of Vienna , where he has held a faculty position since 2019. He also held previous academic appointments as a Szegő Assistant Professor at Stanford University (2017–2019), a postdoctoral researcher at the University of Geneva (2015–2017), and research positions at ETH Zurich (2011–2015), Russian Academy of Sciences (2008–2011), and Moscow Institute of Physics and Technology (2009). His research focuses on adaptive, data-driven numerical methods for differential equations, nonlinear low-parametric approximation, and numerical linear algebra. His work intersects computational mathematics, tensor methods, and high-dimensional problem-solving, particularly in the context of partial differential equations (PDEs) and stochastic modeling. The 15 most recent publications reveal a strong emphasis on quantized tensor-structured methods for PDEs, low-rank approximations, and high-dimensional numerical analysis. His research spans theoretical advancements in tensor decomposition, practical applications in chemical reaction networks, and novel discretization techniques for multiscale and degenerate diffusion problems. Scientific awards include the prestigious ETH Medal for outstanding doctoral theses (2016) Russian Academy of Sciences Medal for outstanding student works in mathematics (2011) Advising and teaching activities include supervising Jason Zhu (Stanford, 2019) and Simon Etter (ETH Zurich, 2014), as well as teaching advanced courses in tensor methods, numerical analysis, and PDEs at the University of Vienna, Stanford University, and the University of Geneva. His service to the community includes peer review for 15+ journals and co-organizing minisymposia at SIAM meetings.

• Numerical Analysis
• Tensor Methods
• Partial Differential Equ to the data-driven solution of PDEs
• +3 more

Dirk Praetorius is a Professor of Numerics of Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Wien) , affiliated with the Institute for Analysis and Scientific Computing (ASC) within the Faculty of Mathematics and Geoinformation . He leads the research group on Numerics of PDEs and has held various leadership roles, including Institute Director (since 2020) and head of the Numerics research area. His work focuses on numerical methods for PDEs, including Finite Element Methods (FEM), Boundary Element Methods (BEM), adaptive algorithms, and computational micromagnetics. Education and Career: Praetorius earned his Diplom in Mathematics (2000) and PhD in Applied Mathematics (2003) from TU Wien, followed by a Habilitation in Numerical Analysis (2005). He has been a faculty member at TU Wien since 2005, progressing from Assistant Professor to full Professor in 2017. He has also held visiting positions at institutions such as the University of Jyväskylä and RICAM (Linz). Research Interests: His research spans numerical analysis, adaptive FEM/BEM, a-posteriori error estimation, matrix compression, and computational micromagnetics. He has contributed to modeling spin dynamics, magnetic skyrmions, and multiscale systems. His work emphasizes efficient algorithms for large-scale problems and optimal computational complexity. Awards and Editorial Roles: Praetorius received the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He serves as Senior Editor for Computational Methods in Applied Mathematics (CMAM) and on the editorial board of Applied Numerical Mathematics (APNUM) . He co-founded the outreach initiative TUForMath to promote mathematics education. Grants and Projects: He leads or co-leads several research projects funded by the Austrian Science Fund (FWF), including the collaborative SFB "Taming Complexity in Partial Differential Systems" (2017–2025) and international collaborations with Germany. His work addresses topics like functional error estimates, nonlinear PDEs, and computational design of magnetic devices. Labs and Teams: He contributes to the ASC Institute and coordinates interdisciplinary projects involving computational physics and engineering. His team develops software tools like MooAFEM and Commics for micromagnetic simulations.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Method
• +3 more

Endre Süli is a Professor of Numerical Analysis at the University of Oxford, affiliated with Worcester College and Linacre College. He has held various academic roles since 1985, including Fellowships and Tutorships in Mathematics. University Education: B.Sc. in Mathematics, University of Belgrade (1974-1978) M.Sc. in Mathematics, University of Belgrade (1978-1980) Ph.D. in Mathematics, University of Belgrade (1985) M.A., University of Oxford (1985) British Council Visiting Student, Reading University and University of Oxford (1983/84) Süli's research focuses on numerical methods for partial differential equations (PDEs), with expertise in finite element methods, adaptive algorithms, error control, and computational modeling of fractures and non-Newtonian fluids. His work bridges mathematical theory and practical applications in fluid dynamics and material science. His recent publications emphasize finite element approximations, nonlinear PDEs, and stochastic models for polymer dynamics. Themes include multiscale methods, tensor-sparsity for high-dimensional problems, and compressible flow simulations. Scientific Awards: Fellow of the Royal Society (2021) London Mathematical Society Naylor Prize and Lectureship (2021) Pro Urbe Prize, City of Subotica (2021) SIAM Fellow (2016) Member, Academia Europaea (2020) Foreign Member, Serbian National Academy of Sciences and Arts (2009) IMA Service Award (2011) Fellow, European Academy of Sciences (EurASc) (2010) Fellow, Institute of Mathematics and its Applications (2007) London Mathematical Society/New Zealand Mathematical Society Forder Lecturer (2015) Professor Hospitus, Charles University, Prague (2012) Distinguished Visiting Chair Professor, Shanghai Jiao Tong University (2013) Invited Speaker, International Congress of Mathematicians, Madrid (2006) Süli has supervised numerous research projects and held visiting appointments globally. His contributions to numerical analysis span foundational work on error estimation, nonlinear stability, and advanced computational frameworks for complex physical systems.

• Free-discontinuity problems
• Computational modelling of fracture
• Quasi-continuum methods
• +10 more

Prof. Liew Kim Meow is a Chair Professor of Civil Engineering at City University of Hong Kong (CityU) since 2005. He previously served as Head of the Department of Architecture and Civil Engineering (2011–2017) and held tenured professorial positions at Nanyang Technological University (NTU), Singapore. He earned BS from Michigan Tech (1985), MEng (1988), and PhD (1991) from the National University of Singapore. His research focuses on composite materials, multiscale modeling, structural optimization, and computational mechanics. Notable contributions include pioneering work on carbon nanotube-reinforced composites and advanced numerical methods. He has published over 800 papers with 38,000+ citations (H-index 97). Education: BS, Michigan Technological University (1985) MEng, National University of Singapore (1988) PhD, National University of Singapore (1991) His awards include Clarivate Analytics' Highly Cited Researcher (2018–2019), Xiangjiang Scholar (2017), and multiple fellowships from professional institutions. He serves as Editor-in-Chief of International Review of Civil Engineering and holds editorial roles in over a dozen journals. He founded key research centers like the Nanyang Center for Supercomputing and Visualization (NTU) and led initiatives in computational mechanics. His work influences global research in composite materials and structural analysis.

• Composite Materials
• Multiscale Modeling
• Structural Optimization
• +5 more

Prof. Jens Markus Melenk is a Professor at TU Wien's Faculty of Mathematics and Geoinformation, leading the Computational Mathematics Research Group (E101-02-1). His research focuses on advanced numerical methods for partial differential equations, with a strong emphasis on hp-FEM (hp-Finite Element Method), fractional diffusion equations, and wave propagation problems. He has contributed significantly to the development of robust and efficient algorithms for complex domains and heterogeneous media. Key research interests include the application of hp-FEM to fractional operators (e.g., integral fractional Laplacian), boundary element methods (BEM), and the analysis of wavenumber-explicit convergence for Maxwell's equations and elastic wave equations. His work bridges theoretical analysis and computational implementation, addressing challenges in multiscale problems and singular perturbations. Notable contributions: Exponential convergence of hp-FEM for fractional Laplacian problems, wavenumber-explicit error estimates for wave equations in heterogeneous media. Collaborations: Active involvement with researchers like Markus Faustmann, Christoph Schwab, and Dirk Praetorius. Supervised theses: Includes works on hp-FEM for fractional operators, RBF interpolation, and error estimators for elliptic PDEs. His research group develops and analyzes numerical schemes for challenging PDE scenarios, with applications in electromagnetism, acoustics, and computational mechanics.

• hp-Finite Element Method (hp-FEM)
• Fractional Diffusion Equations
• Boundary Element Method (BEM)
• +3 more

Zdenek Bazant is the McCormick Institute Professor and Walter P. Murphy Professor of Civil and Environmental Engineering at Northwestern University, with courtesy appointments in Mechanical Engineering and Materials Science. He has been at Northwestern since 1969, serving as Director of the Center for Geomaterials (1981–1987) and holding leadership roles in multiple academic organizations. His research focuses on mechanics of materials, fracture, and structural safety, with contributions to probabilistic mechanics, nano-mechanics, and concrete technology. He holds 7 honorary doctorates and prestigious awards including NAS membership, NASAE, and medals from ASME and ASCE. His work includes over 575 refereed articles and 6 books, achieving a Google Scholar H-index of 94 and 39,000 citations. Education: PhD in Prague (1963) Positions: Editor of ASCE Journal of Engineering Mechanics, President of Soc. of Engineering Science, and Founding President of IA-FRAMCOS Research interests span quasibrittle fracture mechanics, size effects, and structural safety. Key contributions include scaling laws for structural strength and microplane models for concrete behavior. His work on hydraulic fracturing and creep in concrete has influenced engineering practices globally. Notable awards include the Timoshenko Medal (ASME), von Karman Medal (ASCE), and Prager Medal (SES). He has been honored with Special Issues of major journals and birthday workshops. Current affiliations include memberships in multiple national academies and editorial roles.

• Mechanics of Materials
• Fracture Mechanics
• Structural Safety
• +6 more

Gerhard Sommer is an Associate Professor at the Institute of Biomechanics, Graz University of Technology (Austria), where he has held academic positions since 2003. He is also Vice Dean of Studies for Biomedical Engineering and Doctoral School, and has served as Deputy Head of the Institute since 2014. His expertise spans cardiovascular biomechanics, arterial properties, and material modeling of biological tissues. Education: PhD (2008, TU Graz), Habilitation (2021). Key professional milestones include tenure as Assistant Professor (2018–2023) and Senior Postdoctoral Researcher (2013–2018). He has conducted research at the Royal Institute of Technology (KTH), Sweden, and held visiting professorships in France, Germany, and Croatia. Research focuses on mechanical properties of arteries, atherosclerosis mechanisms, and computational modeling of soft tissues. Notable contributions include studies on homocysteine-induced aortic stiffening and the development of a Cardiac Simulation Device. His work integrates experimental and computational approaches to understand disease progression. Grants include leadership of Austrian Science Fund (FWF) projects on arterial biomechanics and aortic dissection. Awards include the 2022 Best Collaborative Paper Award and the 2014 Inventum Award. Labs: Manages the Biomechanics Laboratory since 2007. Current projects involve investigating B-vitamin deficiency effects on arteries and developing iMooc courses like MetSy for metabolic syndrome education.

• Biomechanics
• Cardiovascular Engineering
• Tissue Mechanics
• +4 more

Gerhard Holzapfel is a Professor at TU Graz's Department of Biomechanics. His research focuses on biomechanics of soft biological tissues, cardiovascular systems, and advanced material modeling. He leads the Institute of Biomechanics, conducting experimental and computational studies on tissue mechanics, vascular diseases, and medical device design. Education : Details not explicitly provided in source text. Research Interests : Dr. Holzapfel's work spans constitutive modeling of soft tissues, computational fluid dynamics (CFD) in vascular systems, mechanobiology of cells and tissues, and biomaterials. He emphasizes translating biomechanical insights into clinical applications such as endovascular devices and surgical simulations. His studies often integrate microstructural analysis with macroscopic mechanical behavior to understand pathologies like atherosclerosis and aortic dissection. Publications : Recent work highlights advancements in fiber dispersion models for skin mechanics, Bayesian frameworks for material calibration, and CFD-driven evaluations of TEVAR (thoracic endovascular aortic repair). His articles emphasize predictive modeling of tissue behavior under various loading conditions, with applications in cardiology and regenerative medicine. Awards : No specific honors or fellowships mentioned in the provided text. Advising & Grants : No student/advisor relationships or grant details explicitly listed. The Institute of Biomechanics likely supports collaborative projects in biomechanical engineering and medical research. Labs/Teams : Director of TU Graz's Institute of Biomechanics, leading interdisciplinary teams in biomechanics, material science, and computational modeling. Collaborates with clinical partners on vascular biomechanics and surgical device development.

• Biomechanics
• Soft Tissue Mechanics
• Cardiovascular Biomechanics
• +5 more

Günther Meschke is a Full Professor at the Institute for Structural Mechanics, Ruhr University Bochum, Germany, since 1998. He has held academic positions including Associate Professor and University Assistant at Vienna University of Technology, Austria, and served as Dean and Director at Ruhr University. 1996: Habilitation in Strength of Materials and Structural Mechanics 1989: Dr. techn. (summa cum laude), Vienna University of Technology 1983: Dipl.Ing in Civil Engineering (with honors), Vienna University of Technology His research focuses on computational mechanics of materials and structures, multiscale modeling for porous materials and composites, advanced discretization methods for fracture analysis, and computational methods for subsurface engineering. Publications include work on gradient-enhanced damage models, hydraulic fracturing simulations, and steel-fiber-reinforced concrete failure analysis. Recent articles emphasize multiscale computational methods, fracture mechanics, and hydro-mechanical coupling in civil engineering applications. Key journals include Computer Methods in Applied Mechanics and Engineering and International Journal for Solids and Structures . 2016: Top Library Reads of ASCE 2016: Austrian Science Board Membership 1997: Cardinal Innitzer-Advancement-Prize He serves as Associate Editor for one scientific journal and on the Editorial Board of five others, with affiliations including the International Association for Computational Mechanics (IACM) and acatech (German Academy of Science and Engineering).

• Computational mechanics of materials and structures
• Multiscale models for porous materials and fiber reinforced composites
• Advanced discretization methods for fracture and fragmentation analysis
• +2 more

Prof. Jens Markus Melenk is a Professor of Computational Mathematics at Vienna University of Technology (TU Wien). He holds a PhD in Applied Mathematics from the University of Maryland and has held academic positions at institutions such as ETH Zurich, University of Reading, and several German universities. His research focuses on numerical methods for partial differential equations (PDEs), including finite element methods (FEM), hp-FEM, boundary element methods, and adaptive algorithms. He teaches courses on numerical analysis, PDEs, and computational mathematics, emphasizing topics like elliptic regularity theory, FEM convergence, and a posteriori error estimation. Education: PhD in Applied Mathematics, University of Maryland (1995) Habilitation, ETH Zurich (2000) Master's in Applied Mathematics, University of Maryland (1992) Research Interests: Development and analysis of numerical methods for PDEs hp-FEM and high-frequency Helmholtz problems Adaptive finite element methods and error estimation Homogenization and multiscale problems Computational aspects of continuum mechanics Awards/Grants: Member of SFB 'Taming Complexity in Partial Differential Systems' FWF individual project on H-matrix analysis Completed projects include WWTF 'Light Coupling to Light' and DFG SPP 'Multiscale Problems' Labs/Teams: Involved in research groups at TU Wien's Institute of Analysis and Scientific Computing, focusing on computational mathematics and numerical analysis.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +3 more

Manfred Kaltenbacher is a University Professor at Vienna University of Technology, specifically in the Institute of Fundamentals and Theory in Electrical Engineering. He holds multiple prestigious positions and has received significant recognition including a Doctor Honoris Causa from Budapest University of Technology and Economics and election to the Austrian Academy of Sciences. His research spans computational electromagnetics, acoustics, and materials science with over 200 publications and numerous active research projects. Professor Kaltenbacher's research interests focus on advanced computational methods for electromagnetic and acoustic phenomena. His work encompasses finite element analysis for magnetics and acoustics, hysteresis modeling, aeroacoustics, and computational physics. He has made significant contributions to the simulation of electromagnetic devices, noise propagation, and the development of numerical methods for multiphysics problems. His research bridges theoretical developments with practical engineering applications across multiple domains including Advanced Materials Science, Information and Communication, Mobility & Production, and Sustainable Systems. His recent publications show a strong trend toward integrating machine learning with traditional physics-based modeling, particularly in magnetics and acoustics. There's significant focus on developing advanced numerical methods like the Discontinuous Galerkin method for outdoor noise propagation and improving hysteresis models for electromagnetic devices. His work often addresses multiphysics challenges, combining electromagnetics with acoustics, fluid dynamics, and structural mechanics, with applications spanning from electric motors to noise barriers and energy systems. Professor Kaltenbacher has received notable scientific recognition: Doctor Honoris Causa (Dr. h.c.) from Budapest University of Technology and Economics (2020) Election to the Austrian Academy of Sciences (Österreichische Akademie der Wissenschaft) (2017) He actively leads multiple research projects including "Verlust E-Blech" (focusing on loss models for electrical sheets), "VAMM" (noise barriers), "ECHODA" (energy efficient cooling), and "eMotorWinding" (eMotor winding design). His research funding spans multiple domains including electromagnetics, acoustics, and energy efficiency applications. While the text mentions "Supervised Work (1)", specific student names aren't provided in the available information. Professor Kaltenbacher collaborates extensively across institutions, with recent activities showing collaboration with Budapest University of Technology and Economics and other international partners. His research group appears to focus on computational methods for electromagnetic and acoustic phenomena, with particular expertise in finite element methods and multiphysics simulations, as evidenced by his numerous publications and active projects through 2025.

• Computational Electromagnetics
• Finite Element Analysis
• Aeroacoustics
• +4 more

Michele Terzano is a University Assistant at the Institute of Biomechanics , Graz University of Technology, Austria. Previously, he held postdoctoral positions at Graz (2021-2023) and the University of Parma (2020-2021), with academic visitor roles at Imperial College London (2019-2021). Ph.D. in Civil Engineering (2020), University of Parma M.Sc. in Civil Engineering (2016), University of Parma B.Sc. in Civil Engineering (2016), University of Parma His research spans biomechanics of soft tissues and synthetic polymers , focusing on damage/fracture mechanisms , computational modeling , and robotics in neurosurgery . Key applications include cardiovascular interventions, brain tissue simulation, and tissue engineering hydrogels. The 15 most recent publications reflect trends in multiscale biomechanical modeling (e.g., atherosclerotic arteries, abdominal aortic aneurysms), soft tissue characterization (e.g., SHG microscopy for skin mechanics), and biomaterials development (e.g., poro-viscoelastic hydrogels for brain tissue mimicry). These works integrate experimental data with computational frameworks to address clinical challenges. Scientific awards include a 2020 postdoctoral fellowship at the University of Parma and collaboration on EU-funded Horizon 2020 projects. He teaches Biomedical Engineering courses in Graz while maintaining active research in computational fracture mechanics and bioinspired materials.

• Biomechanics
• Cardiovascular Engineering
• Computational Modeling
• +4 more

Lukas Exl is a Senior Lecturer at the University of Vienna and a Research Director at the Wolfgang Pauli Institute (WPI), where he leads the Mathematical AI/ML Research Division. He holds a habilitation (venia docendi) in Computational Science from the University of Vienna, the first in this interdisciplinary field. Research Platform MMM Mathematics-Magnetism-Materials Wolfgang Pauli Institute (WPI), Vienna His research integrates Applied Mathematics, Computational Physics, and Scientific Machine Learning, focusing on numerical methods for PDE-based simulations, data-driven modeling, and reduced-order approaches. Key applications include computational micromagnetism for green energy materials and developing physics-informed neural networks (PINNs) with interpretable architectures. Recent publications emphasize machine learning techniques for magnetic material optimization, stray field computation, and trustworthy AI (TAI/XAI). He supervises students in Computational Science, Applied Mathematics, and Physics, with a focus on Extreme Learning Machines (ELMs), PINNs, and tensor decomposition methods. Data-driven Reduced Order Approaches for Micromagnetism (FWF Project, €484k, 2024-2028) Design of Nanocomposite Magnets by Machine Learning (FWF Project, €254k, 2022-2027) Reduced Order Approaches for Micromagnetics (FWF Project, €402k, 2018-2024) His team includes researchers like Dr. Sebastian Schaffer (PhD graduate), Kein Gjordeni, and Caroline Maitz. Collaborations span Danube University Krems and Technical University of Denmark's Energy Conversion and Storage department.

• Applied Mathematics
• Computational Physics
• Scientific Machine Learning
• +10 more

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.

• Numerical analysis
• Domain decomposition
• Elliptic PDE
• +4 more

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.

• Structural mechanics
• Computational mechanics
• Solid mechanics
• +5 more