Find Academic Supervisors

• plasticity
• material damage
• multiscale simulations (MD, DDD, FEM)
• +4 more

Dr. Yi Hu is a researcher at the Max Planck Institute for Sustainable Materials , affiliated with the Department of Microstructure Physics and Alloy Design within the Theory and Simulation research group. His work focuses on computational materials science and multiscale modeling of structural materials. Research interests include: Plasticity and material damage mechanisms Multiscale simulations (Molecular Dynamics, Discrete Dislocation Dynamics, Finite Element Method) Computational methods like topology optimization, machine learning, and phase field modeling Development of DAMASK (Düsseldorf Advanced MAterial Simulation Kit) Recent publications highlight his expertise in precipitate strengthening of aluminum alloys, dislocation dynamics, and multiscale modeling. He collaborates on code development and has contributed to advancing computational frameworks for material simulations. Key affiliations: Max Planck Institute for Sustainable Materials, Düsseldorf, Germany.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +5 more

Prof. Dr. Dietmar Gallistl is a faculty member at Friedrich-Schiller-Universität Jena, holding the Professorship for Numerical Mathematics within the Faculty of Mathematics and Computer Science. His research focuses on numerical methods for partial differential equations, including mixed finite elements, multiscale methods, adaptive algorithms, and computational homogenization. He teaches courses such as Theory and Numerics of Partial Differential Equations and Iterative Solvers for Partial Differential Equations . His research interests span various areas including discretization techniques for nonlinear PDEs, error analysis, and computational methods for wave propagation. He has contributed to software tools for finite element mesh refinement and numerical simulations. Recent work includes publications on the Gross-Pitaevskii eigenvalue problem, Monge-Ampère equations, and time-harmonic Maxwell equations. Prof. Gallistl's academic work emphasizes rigorous mathematical analysis alongside practical numerical implementation. His teaching materials include lecture notes on computational PDEs and finite element methods available on his university webpage.

Zohar YosibashView profile

Professor

• Fracture Mechanics
• Biomechanics
• Computational Mechanics
• +4 more

Prof. Zohar Yosibash is a faculty member at the School of Mechanical Engineering within the Faculty of Engineering at Tel Aviv University. He serves as Vice Dean for Research and Industry Relations and heads the Computational Mechanics and Experimental Biomechanics Laboratory . Previously, he was a Professor at Ben-Gurion University (1995-2017) and an Associate Professor at Brown University (2001-2007). Education: BSc in Aeronautical Engineering, Technion (1987) MSc in Applied Mathematics, Tel Aviv University (1991) DSc in Mechanical Engineering, Washington University, USA (1994) His research focuses on fracture mechanics , biomechanics of bones and arteries , and AI-driven computational modeling . He applies high-order finite element methods (h/p-FEM) and phase field models to study crack propagation, bone fracture risk, and arterial mechanics. Recent work integrates machine learning (e.g., nnU-Net) for tumor segmentation and autonomous finite element analysis. Articles Trends: Recent publications emphasize 3D fracture mechanics for elliptical cracks CT-based finite element analysis for bone diagnostics phase field modeling of arterial responses machine learning in biomedical imaging failure criteria for V-notches multi-scale simulations in geophysics and medicine Scientific Awards: Hans Fischer Senior Fellow (2009) European Structural Integrity Society Fellow (2020) International Association for Computational Mechanics Fellow (2020) Additional Contributions: He co-founded two startups and served as President of the Israel Association for Computational Methods in Mechanics (2015-2021). His work bridges experimental, theoretical, and numerical approaches, with over 130 peer-reviewed articles and a Springer monograph on singularities.

Lars PastewkaView profile

Professor

• Multiscale simulation of materials
• Micromechanics of materials
• Material interfaces
• +7 more

Prof. Lars Pastewka is a Full Professor of Simulation at the Department of Microsystems Engineering (IMTEK) within the Faculty of Engineering at the Albert Ludwigs University of Freiburg. His research focuses on multiscale simulation of materials, micromechanics, and tribology, with a particular emphasis on friction, adhesion, and wear. He leads a research group developing computational methods to model materials from atomic to continuum scales. His expertise includes surface forces, material interfaces, and the design of programmable materials. Key projects include studies on self-repair mechanisms in biological and artificial materials, tribogenerators, and resilient microfluidic networks. He supervises doctoral researchers such as Indre Jödicke and Mahdi Roshani, with past student Dr. Antoine Sanner completing his doctorate under his guidance. Prof. Pastewka has contributed to open science through tools like dtool and dserver, promoting FAIR data principles. His work spans interdisciplinary collaborations in materials science, biomechanics, and computational engineering. He is actively involved in academic outreach through events like the livMatS Colloquium series and contributes to teaching programs such as the Master Lab and Core Lectures initiatives. His research has been funded by Germany’s Excellence Strategy (EXC-2193/1) and addresses challenges in surface topography analysis, hydrodynamic lubrication, and material fracture mechanics. His group’s computational frameworks, including matscipy and SYMPLER, have advanced large-scale simulations in materials science.

Mohammad SarhilView profile

Researcher

• Phase-field Modeling
• Computational Mechanics
• Materials Science
• +5 more

Mohammad Sarhil is a researcher at the University of Duisburg-Essen and a PostDoc at TU Dortmund University, affiliated with the Institute of Mechanics and Jörg Schröder's Lab. He holds a Dr.-Ing. (PhD) in Mechanics with distinction from 2024. Diploma in Structural Engineering (2012) from Latakia University, Syria M.Sc. in Computational Mechanics (2015) from University of Duisburg-Essen His research focuses on phase-field modeling , micromorphic continua , and metamaterials , particularly for fatigue analysis in fiber-reinforced concrete and higher-order homogenization theories. Key trends include finite element formulations, parameter identification, and multiscale residual stress analysis. Scientific recognition includes: DAAD scholarship Best Graduate award (Latakia University) His work bridges computational mechanics, generalized continuum theories, and fracture mechanics with applications in structural and materials engineering.

• Computational mechanics
• Nonlinear finite element method
• Advanced finite beam formulations
• +2 more

Jens Wackerfuß is a Full Professor of Structural Analysis and Executive Director of the Institute of Structural Mechanics at the University of Kassel, Germany, positions he has held since 2014. He also leads an Emmy Noether Junior Research Group at the university, demonstrating his significant research leadership. His academic background includes a Dr.-Ing. (Civil Engineering) from Technical University Darmstadt in 2005 and a Dipl.-Ing. (Civil Engineering) from the same institution in 1997. His professional journey includes post-doctoral work at UC Berkeley (2007-2008) and leadership of an Emmy Noether Junior Research Group at Technical University Darmstadt (2010-2013). Professor Wackerfuß's research spans computational mechanics with particular expertise in nonlinear finite element methods, advanced beam formulations, multiscale methods, and molecular mechanics. His work bridges theoretical developments with practical engineering applications, and he has developed the research code dockSIM for computational structural analysis. His teaching portfolio includes Structural Analysis I and II for Bachelor's students and Finite Element Methods, Material Models, and Multiscale Methods for Master's students. His recent publications (2022-2024) reveal a strong focus on constraint handling in finite element analysis, graphene modeling, and innovative structural formulations. Key trends include efficient methods for nonlinear multi-point constraints, coupling different structural elements, and applying computational methods to nanoscale materials. His scientific achievements have been recognized with several prestigious awards: Emmy Noether Programme of the German Research Foundation (DFG) in 2010 Zienkiewicz Medal and Prize in 2009, London (UK) Research fellowship of the German Research Foundation (DFG) at TU Darmstadt in 2008 Research fellowship of the German Research Foundation (DFG) at UC Berkeley in 2007 Professor Wackerfuß supervises doctoral and master's students through his Research Colloquium for Thesis and Doctoral Students. His grant portfolio includes significant funding from the German Research Foundation (DFG), particularly through the Emmy Noether Programme which supports outstanding early-career researchers. He leads the Institute of Structural Mechanics at the University of Kassel and maintains the research code dockSIM. His team focuses on developing advanced computational methods for structural analysis, with particular expertise in nonlinear systems, constraint handling, and multiscale modeling approaches that bridge molecular and continuum mechanics.

• Numerical Analysis
• Scientific Computing
• Mathematical Modeling
• +12 more

Patricio Farrell is an applied mathematician and Research Group Leader at the Weierstrass Institute Berlin (WIAS), focusing on numerical analysis, scientific computing, and mathematical modeling for semiconductor devices. His work bridges applied analysis and practical applications, particularly through structure-preserving numerical methods for drift-diffusion systems and nonlinear PDEs. Key applications include next-generation semiconductors, perovskite photovoltaics, and neuromorphic computing. He actively collaborates with institutions like Inria Lille, the University of Oxford, and the Helmholtz Zentrum Berlin. Vice Chair of KOMSO (Committee for Mathematical Modeling, Simulation and Optimization) Editor of Open Mathematics Scientific Ambassador for Brain City Berlin Developed ChargeTransport.jl , an open-source Julia tool for semiconductor simulations used in academia and industry His research interests span numerical analysis, nonlinear PDEs, finite volume methods, and meshfree techniques, with applications in perovskites, nanowires, memristors, quantum wells, and laser design. He has secured ~€1.5M in third-party funding from organizations like the Leibniz Association and MATH+. Scientific Awards: Capital's Top 40 under 40

Barbara VerfürthView profile

Professor

• Numerical Methods for Partial Differential Equations
• Multiscale Finite Element Methods
• Numerical Homogenization
• +4 more

Prof. Dr. Barbara Verfürth is a Professor at the Institute for Numerical Simulation (INS) at the University of Bonn since October 2022. Previously, she served as a Junior Research Group Leader and Tenure-Track Professor at Karlsruhe Institute of Technology (KIT) from 2020-2022, was a PostDoc at the University of Augsburg (2018-2020), and completed her PhD at the University of Münster (2015-2018). Her academic journey demonstrates a strong focus on numerical analysis and computational mathematics. Prof. Verfürth's research interests span several interconnected areas in computational mathematics: Numerical methods for partial differential equations Multiscale (finite element) methods (Numerical) homogenization (Time-harmonic) wave propagation: Helmholtz and Maxwell equations Nonlinear PDEs (nonlinear diffusion, nonlinear Helmholtz) Her recent publications demonstrate a consistent focus on multiscale methods for wave propagation problems, particularly in high-contrast and time-varying media. The research shows strong connections between theoretical numerical analysis and practical applications in metamaterials and wave physics. Her work bridges pure mathematical analysis with computational implementation, often developing novel algorithms for challenging multiscale problems. Prof. Verfürth leads several significant research projects: Homogenization of time-varying metamaterials (Project B4, DFG CRC 1173) Numerical methods for nonlinear, random and dynamical multiscale problems (Project 496556642, DFG Emmy Noether) Previously completed TEEMLEAP - a testbed for exploring machine learning in atmospheric prediction (KIT Future Fields) She is actively involved in academic mentoring, currently advertising for a PhD position focusing on numerical multiscale methods for linear elasticity with high-contrast coefficients. Her teaching includes courses such as "Scientific Computing I" and "Introduction to Numerical Mathematics" at the University of Bonn.

Gert LubeView profile

Professor

• Numerical Methods for Partial Differential Equations
• Computational Fluid Dynamics
• Turbulence Modeling
• +2 more

Prof. Dr. Gert Lube is a faculty member at the Institute for Numerical and Applied Mathematics (NAM) within the Faculty of Mathematics and Computer Science at Georg-August-University Göttingen. His research focuses on numerical methods for partial differential equations , with emphasis on stabilized finite element methods , turbulence modeling , and magnetohydrodynamics (MHD) . Workshops Organized : Calibration of Viscosity Models for Turbulent Flows (2010), Variational Multiscale Methods (2008), Local Projection Stabilization (2008), BAIL Conferences. His academic contributions include 15+ publications since 2010 on topics like Navier-Stokes simulations , LES/VMS methods , stabilized FEM , and FEM-BEM coupling . Collaborations span institutions like TU Graz, Saarbruecken University, and DLR Göttingen. Key Research Areas : Finite Element Methods, Turbulence Modeling, MHD, Incompressible Flows, Singularly Perturbed Problems, Parallel Computing. Advisees include PhD candidates working on topics such as non-isothermal flows , mass conservation , hybrid RANS/LES , and domain decomposition .

Martin LenzView profile

Researcher

• Numerical Simulation
• Materials Science
• Mechanical Engineering
• +3 more

Dr. Martin Lenz is a researcher at the Institut für Numerische Simulation at the University of Bonn , specializing in numerical methods for materials science and mechanics. His work bridges computational mathematics with applications in magnetic-shape-memory materials, microstructure optimization, and multiscale modeling. Teaching: Lecturer for Ingenieurmathematik III (module M43), Ingenieurmathematik II (module B42), and Ingenieurmathematik (Master module M22). Current Research: Leads Numerical optimization of shape microstructures (Project C06, DFG SFB 1060) focusing on two-scale optimization of elastic materials. Past Research: Developed continuum models for magnetic-shape-memory materials (Project A6, DFG priority program 1239) and studied multiscale phase separation with elastic misfit. His recent publications (2023-2012) emphasize shape-memory alloys , microstructure dynamics , and adaptive numerical schemes . Key methodologies include finite volume methods, homogenization, and phase field modeling. Education: PhD (2007) and Diploma in Mathematics (2002) from the University of Bonn.

Niklas KolbeView profile

Professor

• Numerical Analysis
• Scientific Computing
• Partial Differential Equations
• +4 more

Niklas Kolbe is an interim professor at the Department of Mathematics, RWTH Aachen University . His research focuses on numerical analysis, modeling of partial differential equations, and applications in cancer biology and traffic flow systems. Current affiliation: Department of Mathematics, RWTH Aachen University Academic rank: Interim Professor Research Interests Dr. Kolbe specializes in: Numerical methods for hyperbolic/parabolic PDEs Adaptive mesh refinement Lagrange-Galerkin techniques Cancer invasion modeling (stem cells, extracellular matrix) Network models for blood vessels/road systems Notable Contributions Recent publications address: Lax-Friedrichs methods in hemodynamics Relaxation approaches for fluid-solid coupling Flux-limited PDEs for glioma invasion Stochastic TGF-β signaling models

• Partial Differential Equations
• Waves
• Dispersive PDEs
• +7 more

Tomas Dohnal is a Professor at the Institute of Mathematics of Martin Luther University Halle-Wittenberg , Germany, since 2018. His research focuses on Nonlinear Partial Differential Equations (PDEs) , Dispersive Waves , Bifurcation Theory , and Wave Propagation in Periodic Structures . He has held academic positions at Technical University Dortmund, Karlsruhe Institute of Technology, ETH Zurich, and University of New Mexico. Research Interests : Nonlinear PDEs, Surface Plasmon Polaritons, Gap Solitons in Photonic Crystals, Spectral Problems, Rigorous Asymptotics, Numerical Analysis Grants : DFG grants on nonlinear wavepacket asymptotics and moving gap solitons in periodic media Students : Supervised PhD students including Maximilian Hanisch, Matthias Ionescu-Tira, and Daniel Tietz; Master students at multiple institutions Software : Co-developer of the PDE2PATH MATLAB package for bifurcation analysis Publications span topics in Maxwell equations with interfaces, PT-symmetric problems, homogenization of periodic media, and nonlinear wave dynamics. His work often bridges rigorous mathematical analysis with numerical methods. Teaching includes courses on Dispersive PDEs, Asymptotic Methods, Nonlinear Analysis, and Wave Propagation. He has taught at TU Dortmund, Karlsruhe Institute of Technology, and Martin Luther University.

Tobias PreußerView profile

Professor

• Mathematical Modelling
• Partial Differential Equations
• Bio-Medical Process Simulation
• +7 more

Prof. Dr. Tobias Preußer is a Professor of Mathematical Modelling of Medical Processes at the School of Computer Science and Engineering, Constructor University Bremen gGmbH. His research focuses on mathematical modeling in biomedical processes, numerical analysis, image processing, and scientific visualization. He holds a PhD in Mathematics from the University of Duisburg-Essen (2001-2003), a Diploma in Mathematics from the University of Bonn (1994-1999), and completed an exchange semester in applied mathematics at New York University. His academic roles include Deputy Institute Director and Head of Modeling and Simulation at Fraunhofer MEVIS, General Manager at TechsoMed GmbH, and Visiting Assistant Professor at the University of Bremen. His work emphasizes interdisciplinary collaboration, particularly in systems biology and medical imaging applications. Key research interests include partial differential equations, bio-medical process simulation, anisotropic diffusion techniques, and multiscale methods. He has contributed to advancements in radiofrequency ablation modeling, liver pharmacokinetics simulations, and uncertainty quantification in medical visualization. His publications span computational biology, medical physics, and visualization techniques, with notable contributions to virtual liver modeling and stochastic collocation methods for optimal control problems. He has led collaborative projects involving academic and industrial partners, advancing both theoretical and applied aspects of mathematical modeling in healthcare.

Pawan GoyalView profile

Researcher

• Machine Learning
• Physics-Informed Neural Networks
• Generative AI
• +4 more

Dr. Pawan Goyal is a Senior AI Engineer/Researcher at appliedAI Initiative GmbH, focusing on generative AI and physics-informed machine learning. Previously, he led the Physics-Enhanced Machine Learning team at the Max Planck Institute for Dynamics of Complex Technical Systems, where he developed surrogate modeling techniques integrating physics into AI. His research spans dynamical systems, model reduction, and materials science, emphasizing stability and interpretability of models. Education: PhD in Applied Mathematics (Max Planck Institute, 2018), M.Tech and B.Tech in Engineering Design (IIT Madras). His work bridges computational science and AI, addressing challenges in engineering design and materials discovery. Key interests include generative AI for design, physics-informed neural networks, and reduced-order modeling for complex systems. Awards: Dr.-Klaus-Körper Prize (GAMM, 2019), Best Ph.D. Thesis (Otto-von-Guericke University, 2018).

Johannes KrausView profile

Professor

• Numerical Solution of Partial Differential Equations
• Finite Element Methods
• Isogeometric Analysis
• +8 more

Prof. Dr. Johannes Kraus is a faculty member at the University of Duisburg-Essen , affiliated with the Faculty of Mathematics . His research focuses on advanced numerical methods for partial differential equations and their applications across multiple disciplines. University: University of Duisburg-Essen Faculty: Faculty of Mathematics Contact: Thea-Leymann-Str. 9, 45127 Essen, Germany Dr. Kraus specializes in numerical solution of partial differential equations , discretization techniques (including finite element and isogeometric analysis), numerical linear algebra , and subspace correction methods like domain decomposition and multigrid. His work extends to high-performance computing and machine learning applications in medicine, engineering, and sciences. Recent publications highlight collaborations on nonlinear poroelasticity , space-time finite element methods , and preconditioning techniques for complex systems. Articles span domains such as biomechanics , biomolecular electrostatics , and multiscale modeling , demonstrating interdisciplinary impact. Teaching responsibilities include Numerical Mathematics II (Summer 2025) and Numerical Mathematics I , with seminars on multiphysics finite element software . He leads the Numerical Mathematics group and has secured third-party funding from DFG and FWF grants.