Find Academic Supervisors

• Mathematical Biology
• Numerical Simulation
• Fluid-Structure Interaction
• +4 more

Prof. Elfriede Friedmann is a Professor at the University of Kassel's Department of Numerics and Mathematical Modelling. Her research focuses on interdisciplinary applications of numerical methods in biomedical engineering, particularly in ophthalmology and systems biology. She specializes in fluid-structure interaction, pharmacokinetics modeling, and developing computational tools for medical diagnostics and treatment optimization. Education: Advanced degrees in mathematics and applied sciences (details not explicitly provided) Key Research Areas: Mathematical modeling of ocular systems, drug delivery mechanisms, and biological signaling pathways Her work emphasizes translating complex biological systems into mathematical frameworks, such as the 'Virtual Eye' project simulating human eye dynamics. Recent studies investigate retinal neurogenesis, intraocular lens stability, and viscoelastic fluid dynamics in ocular environments. Prof. Friedmann collaborates with clinical partners to validate numerical models against experimental data. Notable contributions include: Development of coupled PDE/ODE systems for intercellular signaling Optimization algorithms for medical device performance High-resolution MRI-based anatomical modeling Numerical methods for drug diffusion analysis Her lab integrates computational fluid dynamics, finite element analysis, and systems biology to address unmet clinical needs in ophthalmology. Current projects explore personalized treatment simulations for retinal diseases and glaucoma.

• Photovoltaics
• Solar Energy
• Renewable Energy
• +3 more

Prof. Rutger Schlatmann is a Professor at HTW Berlin and Head of the Solar Energy Division at the Helmholtz-Zentrum Berlin (HZB). He leads strategic initiatives in photovoltaic technologies through roles like Chair of the European Technology and Innovation Platform for Photovoltaics (ETIP PV), focusing on advancing solar energy innovation and European industrial resilience. His research emphasizes next-generation solar cell materials, including perovskite-based tandem systems and hydrogen storage technologies. He holds a central role in fostering international collaborations, such as the Memorandum of Understanding between HZB and the National University of Kyiv-Mohyla Academy to establish a Joint Research Lab addressing Ukraine’s energy-climate integration with the EU. His work bridges academia and industry, with contributions to solar cell efficiency, stability, and sustainable energy systems. Key research themes include perovskite solar cells, tandem architectures, and hydrogen technologies. Recent studies focus on material stability, laser patterning optimization, and catalyst development for hydrogen pumps. He actively promotes the European photovoltaic sector through policy advocacy and interdisciplinary partnerships.

• Electrochemistry
• Energy Storage Systems
• Battery Technology
• +6 more

Prof. Dirk Uwe Sauer is a Universitätsprofessor (University Professor) at RWTH Aachen University, leading the Chair of Electrochemical Energy Conversion and Storage Systems Technology. His research focuses on advancing energy storage technologies, particularly lithium-ion and next-generation batteries, with emphasis on safety, degradation mechanisms, and grid integration. He specializes in electrochemical systems, thermal management, and data-driven diagnostics for large-scale battery applications. His work includes field data analysis of home storage systems, automotive battery systems, and marine propulsion systems. He collaborates on projects like the M5BAT large-scale battery storage system and explores emerging technologies such as sodium-ion batteries and tabless cell designs. Sauer also addresses broader energy challenges, including renewable energy integration, hydrogen potential, and nuclear fusion viability. Key research themes include battery aging models, cost optimization, and failure mode analysis. His team develops novel diagnostic tools like fiber optic sensors for thermal monitoring and ultrasound imaging for electrochemical processes. He actively publishes datasets and benchmarks algorithms for battery management systems. Awards and recognitions are not explicitly listed in the provided texts, but his contributions are highlighted through extensive peer-reviewed publications and industry partnerships. Sauer’s group is based at the Institute for Sustainable Energy Systems (ISEA) in Aachen, with laboratory facilities for advanced battery testing and modeling.

• Materials Modelling
• Computational Electro-Chemo-Mechanics
• Solid Mechanics
• +3 more

Dr. Chuanlai Liu is a Project Group Leader at the Max Planck Institute for Sustainable Materials, leading the Computational Energy Storage Materials research group. His work focuses on materials modeling, computational electro-chemo-mechanics, solid mechanics, and high-performance computing, with expertise in developing open-source simulation software like DAMASK. His research interests include microstructure-sensitive modeling of polycrystalline materials, phase-field simulations of deformation and fracture in ice, spinodal decomposition dynamics, and chemo-mechanical interactions in battery materials. He also explores vacancy trapping in alloys and the mechanical behavior of magnesium and aluminum alloys through advanced computational methods. Dr. Liu’s publications highlight contributions to multiphysics modeling, alloy design, and sustainable material science. His work bridges theoretical models with practical applications in energy storage and recycling of 'dirty' aluminum alloys. The DAMASK software, co-developed by Liu, is widely used for simulating complex material behaviors under mechanical and chemical loading.

Daniel J. RixenView profile

Professor

• Structural Dynamics
• Robotics
• Mechatronics
• +5 more

Prof. Daniel J. Rixen is a full Professor and Head of the Department of Applied Mechanics at Technische Universität München (TUM). With over 25 years of expertise, his research focuses on structural dynamics, robotics, and mechatronics, integrating theoretical, numerical, and experimental approaches. He holds a Doctorate from the University of Liège (1997) and has held academic leadership roles at TU Delft and TUM. Education: Engineering Degree (Electro-Mechanics), University of Liège (Belgium) MSc in Aerospace Vehicle Design, Cranfield University (UK) PhD in Engineering, University of Liège (Belgium) Research Interests: His work spans robotics path planning, nonlinear structural dynamics, model reduction, and parallel computing applications in aerospace, automotive, and medical instrumentation. Collaborations with industry partners drive innovations in wind energy, mechatronics, and microsystems. Key Contributions: His 2017 IEEE Robotics paper advanced real-time path planning for bipedal robots, while his textbook Mechanical Vibrations (3rd ed., 2015) remains a foundational resource. Hyper-reduction techniques for nonlinear dynamics and impulse-based substructuring methods highlight his computational mechanics expertise. Awards: Best Lecturer Award (TU Delft, 2009 & 2010) Advising & Collaborations: Leads TUM’s Applied Mechanics group, with industry ties in aeronautics and medical devices. No specific student names or grant details provided in the text. Labs/Teams: Research integrates academic-industry partnerships, focusing on robotics control and multiphysical system modeling through TUM’s Engineering and Design School infrastructure.

Benjamin RüthView profile

Researcher

• Fluid-structure interaction (FSI)
• Multiphysics
• Blackbox coupling
• +4 more

Benjamin Rüth (also known as Benjamin Rodenberg) is a doctoral candidate and Research Associate (Wissenschaftlicher Mitarbeiter) at the Chair of Scientific Computing in Computer Science (SCCS) at the Technical University of Munich (TUM). He is affiliated with the TUM School of CIT and the Department of Computer Science. His research focuses on fluid-structure interaction (FSI), multiphysics coupling, blackbox coupling, multiscale simulation, and time integration schemes, with a strong emphasis on research software engineering and sustainability. He is a core contributor to the preCICE coupling library, developing tools for partitioned multiphysics simulations. Education: M.Sc. (hons) in Computational Science and Engineering (2017, TUM) and B.Sc. in Engineering Science (2014, TUM). He advises numerous students on projects related to preCICE, FEniCS, and multiphysics modeling. He teaches courses such as Numerischer Programmieren and Computational Fluid Dynamics, and has coordinated the CSE Master's program. His work includes advancing higher-order time stepping schemes, waveform iteration methods, and integration of physics-informed neural networks. Research contributions span publications in conferences like SIAM CSE and journals like International Journal for Numerical Methods in Engineering. He co-developed web tools for teaching in mechanics and mathematics and contributed to open-source software ecosystems like preCICE. His activities include organizing workshops and advising on projects that bridge simulation software and real-world applications.

• Aerothermodynamics
• Rarefied Gas Dynamics
• Computational Fluid Dynamics (CFD)
• +3 more

Dr. Georgii Oblapenko is a postdoctoral researcher at the Aerodynamics Center (ACOM), RWTH Aachen University, since November 2023. He has held postdoctoral positions at the German Aerospace Center (DLR) Institute of Aerodynamics and Flow Technology (2021–2023) and the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin (2018–2021). Earlier, he worked as a research engineer at Saint-Petersburg State University's Department of Hydroaeromechanics (2013–2017). His research focuses on mathematical modeling of continuum and rarefied gas flows with thermochemical non-equilibrium, particle-based simulation methods (DSMC, DVM), and uncertainty quantification in aerothermodynamics. He has contributed to the development of advanced kinetic theory approaches for vibrational relaxation, chemical reactions, and transport coefficients in high-temperature flows. Notable achievements include a personal fellowship from the Alexander von Humboldt Foundation (2021–2023) and collaborations with institutions like the University of Texas at Austin and DLR. His teaching activities include instructing Math I and Math II at RWTH Aachen. Scientific Awards: Alexander von Humboldt Foundation Fellowship. His work spans aerothermodynamics, plasma physics, and computational methods, with recent publications addressing entropy-stable simulations, vibrational non-equilibrium effects, and hybrid particle-continuum modeling.

• Additive Manufacturing
• Laser Technology
• Materials Science
• +5 more

Prof. Henning Ahlers is a Professor in the Department of Mechanical Engineering at Hannover University of Applied Sciences and Arts. His research focuses on advanced manufacturing technologies, particularly additive manufacturing, laser processes, and materials science. Key areas include laser wire bonding, functional graded materials, and the integration of optical and thermal components. His work emphasizes applications in aerospace, automotive, and optomechanical systems, with a focus on material efficiency, process optimization, and system design. Notable projects involve developing coaxial laser deposition systems for multifunctional components and investigating in-situ alloying techniques for enhanced material properties. Research Projects: Includes studies on laser cladding, defect detection in additive manufacturing, and the generative manufacturing of optical/thermal components. Key Contributions: Pioneering work in laser double-wire directed energy deposition, material intermixing behavior analysis, and additive manufacturing of glass and polymer materials. Prof. Ahlers' academic contributions span over two decades, with publications addressing topics from early 2000s machine tool concepts to cutting-edge 2020s additive manufacturing innovations.

Matthias GrafView profile

Professor

• Mechanical Engineering
• Multiphysics Simulation
• Fluid-Structure Interaction (FSI)
• +10 more

Prof. Dr.-Ing. Matthias Graf is a Professor at the University of Applied Sciences Emden/Leer, specializing in Technical Mechanics and Construction. His primary affiliations are within the Department of Mechanical Engineering. He focuses on advanced simulation techniques such as the Finite Element Method, Multiphysics Simulation, and Fluid-Structure Interaction (FSI), with applications in Machine Dynamics, Friction, Vibrations, and Braking Systems. His research integrates experimental methods like Laser Scanning Vibrometry and tribological measurements. Prof. Graf leads or contributes to high-profile projects such as DYSTA (Dynamic Two-Component Seals in Additive Manufacturing, DFG-funded 2021–2025) and PANTHER (PFAS Alternatives in Thermoplastics for Friction Applications, BMBF-funded 2024–2026). He actively reviews for journals like Tribology International (Elsevier) and Lubricants (MDPI). His work emphasizes industrial applications of multiphysics simulations, particularly in resolving complex dynamics within thin-gap Elastohydrodynamic systems. He is also engaged in educational roles, bridging theoretical mechanics with practical engineering solutions.

Tobias BaumannView profile

Researcher

• Geophysics
• Geodynamics
• Structural Geology
• +3 more

Tobias Baumann is a researcher at the Department of Geosciences, Johannes Gutenberg University Mainz, specializing in geodynamic inverse modeling and numerical simulations of tectonic and volcanic systems. His work focuses on salt tectonics, magmatic processes, and volcano instability, with applications to resource exploration, waste storage, and geohazard assessment. He is affiliated with the Geophysics & Geodynamics research group, contributing to projects like geomIO software development and multi-scale geodynamic modeling. Research interests include 3D stress analysis in salt structures, hydrothermal alteration effects on volcanic edifices, and the dynamics of magmatic systems such as the Altiplano-Puna plateau. His studies combine numerical methods with geophysical data to address questions in continental collision, reservoir engineering, and volcanic risk. Key technical contributions include advancing inverse modeling techniques for lithospheric rheology and developing tools for converting 2D geological cross-sections into 3D simulation geometries. Current research explores the interplay between magmatic processes and tectonic deformation, with recent work on the Yellowstone and Guadeloupe volcanic systems.

• Photonics
• Optics
• Additive Manufacturing
• +3 more

Dr. Alexander Wolf is a researcher affiliated with the Leibniz University Hannover, specifically within the Exzellenzcluster PhoenixD: Photonics, Optics, and Engineering cluster. He is a member of the Task Group S1: Macro Optical Systems, focusing on advanced optical systems research. His work bridges photonics, additive manufacturing, and automotive applications. Research interests include optical component design , additive manufacturing of optical materials , and automotive lighting systems . Recent publications highlight innovations in laser heat sinks, LiDAR systems, and optomechatronic methodologies. His work emphasizes interdisciplinary collaboration, particularly in photonics engineering and materials science. He holds a Dr.-Ing. (Engineering Doctorate) and contributes to the PhoenixD cluster’s goals of advancing optical technologies. Contact: alexander.wolf@aei.mpg.de .

Jörg KuhnertView profile

Researcher

• Grid-free Numerical Methods
• Fluid Mechanics
• Structural Mechanics
• +3 more

Dr. Jörg Kuhnert serves as Deputy Head of the Department »Transport Operations« at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His research focuses on grid-free numerical methods in fluid and structural mechanics, mathematical modeling of foams, and parallelization of algorithms. He has contributed to high-impact publications in computational mechanics and geotechnical engineering. Research Interests: Development and application of mesh-free techniques (e.g., Finite Pointset Method) Mathematical modeling of complex materials like foams High-performance computing for engineering simulations Publications: His work spans theoretical advancements and practical applications in soil mechanics, fluid-structure interaction, and numerical methods. Recent contributions emphasize mesh-free approaches for multiphysics problems. No scientific awards or grants are explicitly listed in the provided text. He leads teams within the Transport Operations department at Fraunhofer ITWM.

Bernhard SchreflerView profile

Professor

• Structural Mechanics
• Multiphysics in Porous Media
• Thermonuclear Fusion Technology
• +3 more

Bernhard Schrefler is a Professor Emeritus at the University of Padova (Italy) and a Hans Fischer Senior Fellow at the Technical University of Munich (TUM-IAS). His primary affiliation is with the Department of Civil, Environmental and Architectural Engineering at the University of Padova. He holds additional roles as a Senior Affiliate Member at the Houston Methodist Research Institute and Secretary General of the International Centre for Mechanical Sciences (ICMS). His research focuses on structural mechanics, multiphysics in porous media, controlled thermonuclear fusion technology, and biomedical mechanics. He has authored over 430 papers, 46 book chapters, and 5 books, with significant contributions to computational oncophysics and multiphase flow modeling. Schrefler has received prestigious awards including the Gauss-Newton Medal (2016) and Euler Medal (2010). He is an active editor for journals like Mechanics Research Communications and Asia-Pacific Journal of Computational Engineering . His academic career includes honorary doctorates from institutions in France, Germany, Russia, and China. Current research emphasizes tumor growth modeling, fracture mechanics in porous media, and computational frameworks for biomedical applications.

• Computational Mechanics
• Structural Engineering
• Finite-Element Technology
• +7 more

Andi Makarim Katili is a Research Associate at the Chair of Structural Analysis at the Technical University of Munich (TUM). He holds an M.Sc. in Computational Mechanics (2023, TUM) and a B.Sc. in Civil Engineering (2019, Universitas Indonesia). His research focuses on computational mechanics, structural analysis, and numerical methods, including particle methods (Material Point Method), finite-element technology, isogeometric analysis, shell analysis, and modeling of natural hazards. He contributes to projects like CoDA, Mistralwind, and FlexWing, and teaches courses on finite element methods and structural analysis. His work involves developing advanced structural analysis tools and collaborating on interdisciplinary engineering challenges. Education: M.Sc. Computational Mechanics, Technical University of Munich (2019–2023) B.Sc. Civil Engineering, Universitas Indonesia (2015–2019) Research Interests: Particle methods (MPM) for natural hazard modeling Isogeometric analysis and design of membrane structures Structural optimization for additive manufacturing Wind engineering and fluid-structure interaction Numerical methods for composite materials and shell structures Software Contributions: Carat++ (finite element software) Kratos Multiphysics (open-source framework) WindGenerator and Kiwi!3d

Gregor GassnerView profile

Professor

• Computational Fluid Dynamics
• Numerical Analysis
• High-Performance Computing
• +7 more

Gregor Gassner is a Professor at the University of Cologne's Mathematical Institute, specializing in numerical methods for fluid dynamics and high-performance computing. He leads research in entropy-stable discontinuous Galerkin (DG) methods, focusing on robust and efficient simulations of multi-scale problems governed by conservation laws. His work includes adaptive algorithms for compressible flows, magnetohydrodynamics (MHD), and oceanography, supported by an ERC Starting Grant targeting 'un-crashable' solvers. Key research areas: Non-linear multi-scale simulations High-order DG methods Entropy stability and robustness Exascale computing (e.g., SCALEXA project) Adaptive mesh refinement Subcell limiting techniques Publications emphasize advancements in DG schemes, split-form discretizations, and applications to aerodynamics, plasma physics, and geophysical flows. His ERC grant aims to unify efficacy and robustness in numerical methods. Grants/Awards: ERC Starting Grant for developing robust numerical solvers. Labs/Teams: Core scientist at the Center for Data and Simulation Science, leading the NumSim group.