Prof. Dr. Martin Kronbichler is a faculty member at the Faculty of Mathematics , Ruhr University Bochum , leading the Numerics group. His research focuses on higher-order finite element methods, multigrid techniques, and high-performance computing for complex fluid and solid mechanics problems. Key Research Areas: Higher-order finite element methods, iterative solvers, multigrid algorithms, exascale mathematical software, and computational fluid dynamics. Notable Projects: EU-funded dealii-X (exascale digital twins), BMBF PDExa (optimized PDE solvers for exascale), and DFG grants for cut-discontinuous Galerkin methods and geometric multigrid. Publications Trends: Recent works emphasize matrix-free operators for hyperelasticity, diffuse-interface models for additive manufacturing, and multigrid smoothers for higher-order elements. Scientific Awards: Recipient of the Humboldt Research Award for his contributions to numerical methods and HPC. Team: Collaborates with researchers like Dr. Shubham Kumar Goswami, Dr. Richard Schussnig, and Natalia Nebulishvili.
Prof. Dr. Markus Bachmayr is a full professor at the Institute for Geometry and Practical Mathematics, RWTH Aachen University, holding the chair for Applied Mathematics. His research focuses on nonlinear approximation, high-dimensional partial differential equations (PDEs), uncertainty quantification, and numerical methods in quantum chemistry. He leads the ERC Consolidator Grant project Computational Complexity of Highly Nonlinear Approximations (COCOA) and contributes to CRC 1481 Sparsity and Singular Structures, and RTG 2326 Energy, Entropy, and Dissipative Dynamics. His recent work emphasizes adaptive low-rank and sparse approximation techniques for parametric and stochastic PDEs, including applications in radiative transfer and poroviscoelastic flow modeling. He serves as Editor-in-Chief of Foundations of Computational Mathematics and Associate Editor for multiple journals. Scientific Awards: John Todd Award 2013 Borchers Plakette 2014 Erwin Wenzl Preis 2007 He has taught courses such as Numerische Analysis I/II, Numerische Mathematik für Elektrotechniker, and seminars on numerical methods and approximation theory.
Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.
Olaf Kaczmarek is a researcher at the Faculty of Physics , Bielefeld University , specializing in Lattice Quantum Chromodynamics (QCD) and Strongly Interacting Matter . He leads projects related to QCD thermodynamics , quark-gluon plasma , and heavy quark transport . Principal Investigator in TRR 211/2 Subproject A06: Hadronic Excitations and Spectral Functions in the Medium (2025) Co-PI in TRR 211/2 Subproject Z02: Software Development Center (2025) Contributor to GPUHEP2014 and LATTICE2024 symposia Research Focus: Thermal QCD phase transitions, heavy quark diffusion , transport coefficients , lattice simulations , and quarkonium spectroscopy . His work bridges theoretical physics and high-performance computing , particularly in Multigpu Systems for QCD calculations. Recent Publications explore topics like the chiral crossover , spatial string tension , and thermal photon production , with keywords spanning Quantum Chromodynamics , Lattice Gauge Theory , and High Temperature Physics . Teaching: Offers courses in Lattice Field Theory , GPU Computing , and Gradient Flow for graduate students. Contributes to collaborative seminars in the CRC-TR211: Strong-interaction matter under extreme conditions .
Prof. Dr. Jens Eisert is a Professor at the Free University of Berlin, where he leads the Quantum Many-Body Theory, Quantum Information Theory, and Quantum Optics research group (Eisert AG) within the Institute of Theoretical Physics at the Dahlem Center for Complex Quantum Systems. His office is located at Arnimallee 14, Room 1.3.06 in Berlin-Dahlem. His research focuses on the intersection of quantum information theory and condensed matter physics, specifically exploring what information processing tasks are possible using individual quantum systems as information carriers. His group develops mathematical-theoretical foundations of quantum information, particularly in entanglement theory and tomography, while also investigating quantum optical implementations using light modes or cold atoms in optical lattices. A major emphasis of their work is on quantum many-body systems, including static properties, efficient numerical simulation methods like tensor networks, and non-equilibrium quantum dynamics. Recent publications highlight significant contributions in thermalization of quantum systems (Communications Physics 2025), quantum thermodynamics (Nature Physics 2025), and quantum error correction (PRX Quantum 2025). The group's work is characterized by combining the rigor of mathematical physics with physically motivated applicability, frequently leading to direct collaborations with experimental groups. Quantum Information Theory Quantum Many-Body Theory Quantum Optics Entanglement Theory Tensor Networks Quantum Error Correction Prof. Eisert maintains active supervision of numerous PhD students and postdoctoral researchers, with research positions regularly available in areas including quantum error correction, quantum information theory, tensor networks, and quantum simulation. His group has published extensively in top journals including Nature Physics, PRX Quantum, and Physical Review series.
Dr. Magdalena Schreter-Fleischhacker works at the Technical University of Munich within the Professorship of Simulation for Additive Manufacturing . Her research focuses on physics-based computational modeling of coupled liquid-powder-gas dynamics in metal additive manufacturing, including melt pool dynamics and powder-gas interactions . She specializes in multi-phase flow modeling using cut-element and diffuse interface methods with continuous/discontinuous Galerkin schemes . She also develops constitutive models for quasi-brittle materials like 3D printed concrete and rock, incorporating anisotropy , gradient-enhanced damage mechanics , and micropolar continua . Her computational work leverages matrix-free algorithms and parallel computing , with significant contributions to the deal.II finite element library . Research Interests Physics-based computational modeling of coupled liquid-powder-gas dynamics in additive manufacturing Multi-phase flow simulation using sharp/diffuse interface methods Advanced constitutive modeling for quasi-brittle materials (rock, soils, 3D printed concrete) High-performance computing and matrix-free algorithms Notable Contributions Development of consistent diffuse-interface models for melt-vapor dynamics Improvements to continuum surface flux models in additive manufacturing Formulation of gradient-enhanced damage-plasticity models for geological materials Principal contributor to the deal.II library (version 9.6) Supervised Student Projects Johannes Resch (2024): DG-based thermo-hydrodynamic melt pool simulations Julian Brotz (2024): DEM-FEM coupling for fluid-powder interaction Andreas Ritthaler (2024): Matrix-free cutDG formulation for complex flows Tinh Vo (2023): Laser modeling for melt pool simulations Scientific Awards ERC Starting Grant recipient
Andrew Ho is an active academic researcher with publications spanning computer science, electrical engineering, and interdisciplinary applications. His recent work focuses on hybridizable discontinuous Galerkin methods for plasma simulations (2024) and AI/LLM applications in scholarly knowledge organization. 2025: Project Alexandria (LLM for copyright-free knowledge) 2024: Hybridizable DG plasma methods, GPU-accelerated kinetic simulations 2023: Low-resource translation techniques 2022: Multimodal VR interfaces 2003-2006: High-speed serial link transceivers and radiography artifact detection His research interests include: Computer science applications in plasma physics and medical imaging LLM-based scholarly knowledge graphs and literature reviews High-speed communication systems Educational technology implementations Co-authors include Vladimir Stojanovic (Stanford, 2003-2005), Carl W. Werner (2003-2005), and Genia Vogman (GPU plasma simulations, 2024).
Kathrin Flaßkamp is a Professor at Saarland University, specializing in the Department of Systems Engineering. Her work focuses on modeling and simulation of technical systems, with applications spanning robotics, optimal control, and biomedical engineering. She is based at Campus A5 1, Room 1.04, Saarbrücken. Her research integrates control theory, artificial intelligence, and optimization to address challenges in mobile robotics, autonomous vehicles, and medical devices. A key trend in her recent articles involves leveraging model predictive control, neural networks, and Koopman operators for energy-efficient and cooperative trajectory planning. She also explores applications in stereotactic neurosurgery using continuum robots, emphasizing precision and adaptability. Her work frequently bridges theoretical advancements with real-world engineering problems, including systems with symmetries, multi-agent coordination, and data-driven methods for dynamical systems. Despite no explicit awards listed, her contributions to optimal control and robotics are evident in her extensive publication record.
Prof. Benjamin Stamm is a Professor of Numerical Mathematics at the University of Stuttgart, leading the Chair of Numerical Mathematics for High Performance Computing within Faculty 08. He holds a Ph.D. and master's degree in mathematics from École Polytechnique Fédérale de Lausanne (EPFL) and has previously worked at RWTH Aachen University, Sorbonne Université UPMC Paris 6, UC Berkeley, and Brown University. His research focuses on numerical analysis, scientific computing, and simulations, particularly efficient discretizations for PDEs, eigenvalue problems, error certification, reduced basis methods, and HPC implementations. He develops scalable numerical methods for problems in computational chemistry and physics, emphasizing accuracy, efficiency, and interdisciplinary collaboration with chemists, physicists, and materials scientists. Prof. Stamm’s work includes contributions to domain decomposition methods, polarization energy calculations, and software development like the ddX library. His publications span topics such as model order reduction, quantum simulations, and molecular dynamics. Collaborations and software tools underscore his commitment to bridging computational methods with real-world scientific challenges.
Benjamin Klusemann is Professor of Materials Mechanics at the Institute for Production Engineering and Systems, Leuphana University of Lüneburg. He holds leadership positions including Chairman of the School of Management and Technology (2024), Chairman of the Masterprogramme, and Chairman of the Graduate School (since 2017), demonstrating his significant academic standing and administrative responsibilities within the university. His research spans multiple engineering disciplines with a strong focus on mechanics, process simulation, and material modeling. Professor Klusemann specializes in continuum mechanics and the finite element method, applying computational approaches to solve complex problems in materials science and manufacturing engineering. His work bridges theoretical modeling with practical applications in advanced manufacturing processes, particularly in friction-based joining techniques and material behavior analysis. Professor Klusemann's extensive publication record (224 publications) reveals a consistent research trajectory focused on advanced manufacturing techniques, particularly friction-based joining processes, material modeling, and simulation. His recent work emphasizes laser shock peening applications, intermetallic compound evolution in solid-state joining, and the mechanical behavior of nanocrystalline materials. His research demonstrates a strong interdisciplinary approach combining materials science, mechanical engineering, and computational modeling to address industrial challenges in lightweight materials processing. His notable scientific achievements include: Professor O.C.Zienkiewicz Award NUMIFORM 2023 Auszeichnung für herausragende Leistungen in der Forschung (Recognition for outstanding research achievements) ESAFORM Scientific Prize Professor Klusemann actively contributes to academic governance and the international research community. He has organized and participated in numerous conferences including ESAFORM, GAMM meetings, and specialized workshops on computational mechanics. His leadership extends to research projects focused on aluminum processing, material flow analysis, and data-driven design of recycled materials, demonstrating his commitment to both fundamental research and practical applications in manufacturing technology.
Michael Ortiz is the Dotty and Dick Hayman Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech). He holds the Hans Fischer Senior Fellowship at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2010. His research focuses on developing the Advanced Cardiac Mechanics Emulator (ACME) to model human heart function in healthy and diseased states. He has a BS from the Polytechnic University of Madrid, and MS/PhD from UC Berkeley. Previously, he was at Brown University (1984–1995). Professor Ortiz leads Caltech’s DoE/PSAAP Center on High-Energy Density Dynamics of Materials. His honors include the IUTAM Rodney Hill Prize (2008), election to the American Academy of Arts & Sciences (2007), and Humboldt Research Award (2002). He has advised national labs like Lawrence Livermore and Sandia on predictive science and engineering review panels. His work spans computational mechanics, materials science, and multiscale modeling. Recent research emphasizes cardiac biomechanics, fracture mechanics, and quantum materials simulations. Over 100 highly cited papers showcase contributions to meshfree methods, variational fracture, and orbital-free DFT.
Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.
Dr. Thomas Eiter is a Young Investigator in the Collaborative Research Centre CRC 1114 at Freie Universität Berlin and a member of the Partial Differential Equations research group at the Weierstrass Institute of Applied Analysis and Stochastics (WIAS). He holds a PhD from Technical University of Darmstadt (2020), focusing on existence and spatial decay of periodic Navier-Stokes flows in exterior domains. His research emphasizes mathematical analysis of PDEs motivated by fluid mechanics, including existence of solutions, time-periodicity, unbounded domains, and asymptotic behavior. Teaching highlights include courses such as 'Introduction to Mathematical Modeling with PDEs' at Freie Universität Berlin and 'Harmonic Analysis' at University of Kassel. He has organized workshops like the 2025 'Mathematical Analysis of Fluid Flows by Variational Methods' at WIAS. Current projects include the SPP 2410 initiative on energy-variational solutions for hyperbolic conservation laws. His work bridges theoretical PDE analysis with applications in continuum mechanics, with contributions to viscous flow dynamics, Navier-Stokes equations, and material models. He actively participates in academic leadership through seminar organization and conference minisymposia on fluid mechanics and nonlinear analysis.
Prof. Anja Schlömerkemper holds the Chair of Mathematics in the Sciences at the University of Würzburg since 2011 and serves as Vice President responsible for Equal Opportunities, Career Planning, and Sustainability. She earned her PhD in Mathematics from the University of Leipzig (2002) and held postdoctoral positions at institutions including the University of Oxford and the Max Planck Institute for Mathematics in the Sciences. Her research focuses on mathematical analysis, particularly partial differential equations and calculus of variations, with applications to materials science and physics. She investigates mathematical methods to model material behavior at micro and macro scales, including elastic and magnetic materials. Her work bridges theoretical analysis and practical applications in continuum mechanics. She has contributed to fluid-rigid body interactions, magnetoelastic materials, and phase transitions. As Vice President, she promotes gender equality, supports early-career researchers, and advances sustainability across the university's research, teaching, and administration. Education: PhD in Mathematics (Leipzig, 2002) and Diploma in Physics (Göttingen, 1998). Professional Experience includes roles at the Universities of Bonn, Erlangen-Nuremberg, and Stuttgart, as well as the Max Planck Institute. Research interests also encompass homogenization theory, dislocation dynamics, and stochastic discrete systems. She leads interdisciplinary projects, collaborates internationally, and advises on academic policies.
Prof. Dr. Karoline Disser is a Professor of Analysis at the Institute of Mathematics, Universität Kassel, within Faculty 10: Mathematics and Natural Sciences. Her research focuses on applied analysis and partial differential equations, particularly in fluid dynamics, fluid-structure interaction, and complex flow systems. She holds a PhD from TU Darmstadt (2009) and habilitation from Humboldt-Universität zu Berlin (2017). Her teaching includes advanced courses in calculus of variations, function spaces, and mathematical fluid dynamics, spanning institutions like TU Darmstadt, HHU Düsseldorf, and TU Berlin. Research interests encompass reaction-diffusion systems, elliptic/parabolic regularity, and variational methods for evolution equations. Recent publications (2016–2022) address fluid-structure interaction, semiconductor equations, and multiscale chemical reaction modeling. Her work emphasizes rigorous mathematical analysis with applications in engineering and geophysical systems. No awards are listed, but her contributions reflect interdisciplinary engagement in applied mathematics and continuum mechanics.
