جست‌وجوی استاد و پژوهشگر

Sophie Theryمشاهده پروفایل

پژوهشگر

• Applied analysis
• PDE
• Numerical analysis
• +۶ مورد دیگر

Dr. Sophie Thery is a postdoctoral researcher at the University of Augsburg , affiliated with the Faculty of Mathematics, Natural Sciences and Technology and the Institute of Mathematics . She works within the Applied Analysis team under Professor Malte A. Peter, focusing on water waves interacting with floating structures in sea-ice modeling. PhD in Numerical study of ocean-atmosphere coupling algorithms with boundary layer parameterizations at LJK-Université Grenoble Alpes, supervised by Professor Eric Blayo and Florian Lemarié. Previous postdoctoral fellow at LJLL-Sorbonne University for the SASIP project, contributing to a C++ code for simulating sea-ice floe dynamics. 420+ hours of teaching experience in higher education, spanning practical sessions, exercise classes, and lectures. Contact: sophie.thery@uni-a.de , Universitätsstraße 12, 86159 Augsburg, Germany. ORCID: 0009-0006-3408-6940.

Julia Brunkenمشاهده پروفایل

پژوهشگر

• Transport-dominated problems
• Kinetic equations
• Hierarchical model reduction
• +۲ مورد دیگر

Julia Brunken is a Research Associate at the Institute for Analysis and Numerics (Department of Mathematics and Computer Science, University of Münster). She earned her PhD in Mathematics (Dr. rer. nat.) in 2023 under supervision of Prof. Dr. Mario Ohlberger and Dr. Kathrin Smetana, following an MSc (2015) and BSc (2013) in Mathematics with Physics minors. Research Focus: Stable Petrov-Galerkin discretizations for transport-dominated problems (linear transport equations, kinetic Fokker-Planck equations), hierarchical model reduction, reduced basis methods, and space-time variational formulations. Her work emphasizes uniform inf-sup stability and parameterized systems. Teaching: Collaborated on practical courses in nonlinear modeling (2020/21, 2016, 2015) and numerical methods (2016/17, 2015/16) at University of Münster. Projects: Participated in GlioMaTh (2016–2019), a federally funded project on glioma therapy modeling.

Manuel Friedrichمشاهده پروفایل

استاد

• Calculus of Variations
• Multiscale Methods
• Free-discontinuity Problems
• +۷ مورد دیگر

Manuel Friedrich is a Professor at FAU Erlangen-Nürnberg , where he leads the research group in Applied Analysis. Previously, he held a Junior Professorship at the University of Münster and was a Postdoc at Universität Wien. His work bridges the Calculus of Variations , Multiscale Methods , and Materials Science , with a focus on Free-discontinuity Problems , Atomistic Models , and Geometric Rigidity . Education : PhD in TopMath elite graduate program (University of Augsburg, 2015), Masters and Bachelors in Mathematics (TU München). Research : He explores variational models for brittle fracture , crystallization in lattices , and geometric stability of nanostructures , often collaborating with Ulisse Stefanelli and others. Awards : Recipient of the Feodor Lynen Fellowship (2015-2018) from the Alexander von Humboldt Foundation. Students : Collaborates with researchers like Leonard Kreutz , Lennart Machill , and Konstantinos Zemas on projects involving graphene ripples and viscoelastic plate theory . Grants : Funded by DFG grants for fracture models in SBD (2019-2021) and metric gradient flows in solid mechanics (2021-2024).

Mario Ohlbergerمشاهده پروفایل

استاد

• Numerical Analysis
• Machine Learning
• Scientific Computing
• +۳ مورد دیگر

Prof. Dr. Mario Ohlberger is a faculty member in the Department of Mathematics and Computer Science at the University of Münster, Germany. As a leading researcher in numerical analysis and scientific computing, he contributes to the Cluster of Excellence 2044 'Mathematics Münster: Dynamics – Geometry – Structure' and the Mathematical Research Data Initiative (MaRDI). His work integrates machine learning with classical numerical methods. University: University of Münster Research Focus: Numerical analysis for PDEs, model reduction, machine learning, multiscale methods Key Projects: EXC 2044 (subprojects C2 and C4), MaRDI His recent publications emphasize adaptive reduced basis methods, multi-fidelity learning, and surrogate modeling for parameterized PDEs, with applications in oil recovery and reactive transport. He has supervised numerous theses and taught courses on numerical analysis, scientific computing, and model reduction. Scientific awards include the Eliteförderprogramm für Postdoktoranden (2002), Ferdinand-von-Lindemann-Preis (2001), and a 1994 teaching award. Current teaching includes lectures on differential equations and seminars on advanced numerical methods.

• Calculus of Variations
• Nonlinear Partial Differential Equations
• Materials Science
• +۵ مورد دیگر

Prof. Dr. Carolin Kreisbeck is a full professor holding the Chair of Analysis in the Department of Mathematics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt. She serves as Dean of the Faculty since October 2023 and maintains active research collaborations across Europe. Her research focuses on nonlinear partial differential equations and calculus of variations, with particular expertise in: Variational multiscale problems and relaxation techniques Applications in materials science (elasticity, plasticity, metamaterials) Nonlocal operators and fractional calculus Image processing and machine learning applications Gamma-convergence and homogenization theory Her recent publications (2022-2025) demonstrate strong emphasis on nonlocal gradient theories, materials modeling, and variational methods for multiscale problems. The works consistently integrate rigorous mathematical analysis with applications in physics and engineering sciences. Awards and recognitions include: NWO TOP Grant for postdoc position (2019-2021) Multiple teaching excellence awards (University of Regensburg 2013, Utrecht BKO 2016) Prestigious scholarships (Westerdijk, TopMath, Oberwolfach) EON Culture Prize Bavaria (2011) She holds significant professional roles including Associate Editor for Advances in Continuous and Discrete Models , GAMM committee leadership, and organization of international mathematics conferences.

Thomas Speckمشاهده پروفایل

استاد

• Theoretical Physics
• Statistical Mechanics
• Biophysics
• +۳ مورد دیگر

Thomas Speck is a Professor of Theoretical Physics at the University of Stuttgart since 2022. He previously held a W2 Professorship at Johannes Gutenberg University Mainz (2013-2022) and was a spokesperson for the DFG Research Training Group GRK 2516 (2020-2022) and the JGU Profile Area "Mainz Institute for Multiscale Modeling (M3ODEL)" (2019-2022). He served as an editor for the New Journal of Physics from 2016 to present. Education : PhD in Physics (University of Stuttgart, 2008, supervised by Udo Seifert); Diploma in Physics (University of Stuttgart, 2004) Research interests include statistical mechanics , biophysics , and soft matter physics , focusing on multiscale modeling and non-equilibrium phenomena. His work bridges computational approaches with fundamental theories of complex systems. Scientific awards : Feodor Lynen Postdoctoral Fellowship (2009-2012); Best diploma thesis award from the Vereinigung von Freunden der Universität Stuttgart (2004)

Benjamin Klusemannمشاهده پروفایل

استاد

• Materials Science
• Mechanical Engineering
• Solid Mechanics
• +۳ مورد دیگر

Prof. Dr.-Ing. habil. Benjamin Klusemann is a Department Head in the field of Solid-State Materials Processing . His research focuses on innovative, lightweight, and high-strength materials, emphasizing the interplay between processing conditions, microstructure formation, and component performance. He integrates computer simulations, solid mechanics, and machine learning to accelerate material development for sustainable solutions in the transportation sector. Department: Solid-State Materials Processing Key Research Areas: Solid mechanics, multiscale modeling, additive manufacturing, resource-efficient materials His work bridges theoretical and experimental approaches to address industrial challenges in material performance and climate-friendly production along the value chain.

Manfred Eichمشاهده پروفایل

استاد

• Optical Metamaterials
• Plasmonics
• Photoelectrochemical Water Splitting
• +۴ مورد دیگر

Prof. Dr. Manfred Eich is a faculty member affiliated with the Institute for Materials Technology at Helmholtz-Zentrum Hereon and the Institute for Optical and Electronic Materials at Hamburg University of Technology . His research focuses on optical metamaterials and plasmonics for energy applications, particularly in photoelectrochemical water splitting and thermophotovoltaics . Key research areas include: Developing nanoporous gold as a broadband absorber and electrochemical catalyst for hydrogen generation Designing refractory metamaterials with hyperbolic dispersion for high-temperature selective thermal emission Investigating hot carrier injection mechanisms in metallic nanostructures Characterizing microstructural stability of materials at extreme temperatures His recent publications highlight work on: Non-thermal contributions to plasmon-enhanced electrochemical reactions (2020) Hot electron generation and injection efficiency in nanoporous gold (2018–2019) High-temperature (>1400°C) metamaterial emitters for thermophotovoltaic systems (2016–2019) Collaborations include researchers from TUHH , University of Hamburg , DESY , and international institutions. Current projects emphasize tailor-made multiscale material systems under the DFG Collaborative Research Center 986 .

Claude Leinerمشاهده پروفایل

پژوهشگر

• Optical Engineering
• Visible Light Positioning
• Micro-Optical Elements
• +۴ مورد دیگر

Claude Leiner is a researcher at JOANNEUM RESEARCH working within the MATERIALS – Institute for Sensorics, Photonics and Production Technologies. His primary focus is on Light and Optical Technologies, where he conducts research on visible light positioning systems, micro-optical elements, and optical simulation. Dr. Leiner's research interests center on optical engineering with emphasis on visible light communication, micro-optics fabrication, and light management systems. His work bridges theoretical optical simulation with practical applications in positioning technology, illumination systems, and renewable energy. Recent publications demonstrate expertise in freeform optical design, laser lithography techniques, and multiscale optical simulation methods. Analysis of Dr. Leiner's publication record from 2014-2022 shows consistent contributions to the field of optical engineering, with particular emphasis on practical applications of micro-optical elements. His work spans visible light positioning systems, photovoltaic efficiency improvements, and advanced optical simulation techniques, demonstrating both theoretical depth and practical implementation focus. Dr. Leiner maintains active research collaborations within JOANNEUM RESEARCH, working with colleagues across multiple projects related to photonics and optical technologies. His research appears to be well-integrated within the institution's focus on applied research and technology development. His laboratory work focuses on the Light and Optical Technologies research group, where he contributes to the development of advanced optical elements using techniques like laser lithography and roll-to-roll manufacturing processes for micro-optical components.

Sebastian Brandstäterمشاهده پروفایل

مدرس

• Scientific Machine Learning
• Inverse analysis & Bayesian Inference
• Uncertainty Quantification
• +۵ مورد دیگر

Dr. Sebastian Brandstäter serves as Lecturer at the Institute for Mathematics and Computer-Based Simulation, Bundeswehr University Munich since 2022. His academic trajectory includes research associate positions at Hamburg University of Technology (2021) and Technical University of Munich (2016-2021). His research focuses on: Scientific Machine Learning for biomechanical systems Uncertainty Quantification and Bayesian Inference Global Sensitivity Analysis of complex models Multi-Physics & Multi-Scale Modeling of biological tissues Open-source scientific software development Dr. Brandstäter's work centers on gastrointestinal biomechanics, particularly computational modeling of gastric electromechanics and motility. He has pioneered applications of Gaussian-process metamodelling for sensitivity analysis in vascular and gastric systems, and develops open-source frameworks (QUEENS, 4C) that enable efficient multi-query analysis of large-scale models. He actively supervises student theses on patient-specific modeling and computational biomechanics, teaches advanced numerical methods courses, and contributes to the scientific community through conference organization, peer review, and international collaborations. His recent work demonstrates increasing emphasis on data-driven surrogate modeling and solver-independent computational frameworks for biomedical applications.

• Soft Matter Physics
• Statistical Mechanics
• Biophysics
• +۲ مورد دیگر

Richard L. C. Vink is an active researcher at the Faculty of Physics, Georg-August-Universität Göttingen. His academic role involves serving as a referee for doctoral dissertations, with documented involvement in four examinations between 2012-2023. This indicates ongoing engagement in high-level academic oversight within the physics department. Dr. Vink's research expertise centers on computational and theoretical soft matter physics. Key areas include: Multiscale simulations of biological interfaces (lipid membranes) Phase behavior in disordered systems Statistical mechanics of binary mixtures Non-equilibrium phenomena in complex fluids His refereed theses demonstrate consistent focus on modeling physical systems with quenched disorder and interfacial dynamics.

Alfred Kerschمشاهده پروفایل

استاد

• Physics
• Quantum Physics
• Physical Modeling
• +۳ مورد دیگر

Prof. Alfred Kersch is a Professor leading research in computational physics and semiconductor materials at an institution in Munich. He directs the Technical Physics study program and serves on the Bachelor Engineering Physics and Data Science working group. As Master User of the Leibniz Supercomputing Centre (LRZ), he leverages high-performance computing for materials research. His research integrates: Fundamental physics and quantum phenomena Multiscale materials simulation Machine learning for semiconductor optimization Defect engineering in hafnium/zirconium oxides Ferroelectric material design He leads significant externally funded projects including: SIDFEM (2025-2028): Ferroelectric optimization in HfZrO₂ CHIPS of Europe (2024-2028): Semiconductor industry-academia partnerships KI SPEED (2024-2028): AI-driven SiC power electronics D3PO (2022-2026): Defect physics in oxide devices ALPHA (2025-2027): Physics education technology He directs the Laboratory for Modeling and Simulation, focusing on computational approaches to materials science challenges.

• Nonsmooth elliptic and parabolic problems involving multiple scales
• Variational problems and geometric partial differential equations
• Subspace correction methods
• +۸ مورد دیگر

Prof. Dr. Ralf Kornhuber is a faculty member at the Freie Universität Berlin , affiliated with the Department of Mathematics and Computer Science and the Numerical Analysis of Partial Differential Equations institute. His research focuses on advanced numerical methods for multiscale problems and applications in geosciences, biomechanics, and materials science. Education: Dr. rer. nat. in Mathematics (1986) and Diploma in Mathematics (1979), both from TU Berlin. Academic Career: Senior Professor at Freie Universität Berlin (since 2023), Full Professor (C4) at the same institution (1998-2022), and prior roles at University of Stuttgart, WIAS Berlin, and TU Berlin. Research Interests: He specializes in adaptive finite element methods, subspace correction techniques, and multiscale modeling of partial differential equations (PDEs). His work addresses nonsmooth elliptic/parabolic problems, geometric PDEs, and domain decomposition strategies, with applications spanning geoscience simulations, biomechanics, and material science. Scientific Boards & Committees: Chair of CRC 1114 Scaling Cascades in Complex Systems (2021-2022), leadership roles in MATH+, Berlin Mathematical School, and Helmholtz Research School GeoSim, alongside editorial positions at journals like SIAM Journal on Multiscale Modeling and Simulation . Recognition: Awarded the International Multigrid Prize in 2022 for collaborative contributions to multigrid methods.

Friederike Schmidمشاهده پروفایل

استاد

• Statistical Physics
• Soft Matter Theory
• Multiscale Modeling
• +۵ مورد دیگر

Friederike Schmid is a Professor (W3) of Theoretical Physics at the Institute of Physics, Johannes Gutenberg University Mainz (JGU). Her research group focuses on statistical physics and soft matter theory, with affiliations including the Collaborative Research Center CRC-TRR 146 'Multiscale simulation methods for soft matter systems' where she serves as spokesperson. Education includes a Habilitation (1997) and PhD (1991) from the University of Mainz under Kurt Binder, and a Diploma in Physics from Heidelberg University/LMU Munich (1989). Research spans multiscale modeling , nonequilibrium phenomena , and biological physics . Key interests include: Polymer dynamics and self-assembly Lipid membranes and nanomaterial design Biological interfaces and phase transitions Advanced simulation methods for soft matter Her publications demonstrate strong emphasis on computational approaches to polymer physics, biomolecular systems, and interfacial phenomena, with recent work exploring RNA delivery systems and biomolecular condensates. Honors include: APS Fellow (2023) JGU Teaching Award (2021) DFG Gerhard Hess Award (1998) Heisenberg Fellowship (1998) She leads the Schmid Group and coordinates major grants including DFG-funded projects. Editorial roles include Senior Editor for The Journal of Physical Chemistry and Divisional Associate Editor for Physical Review Letters . Her laboratory conducts interdisciplinary research in soft matter theory, collaborating with experimental groups and maintaining computational infrastructure for large-scale simulations.

• Structural Biology
• Computational Biology
• Cryo-Electron Microscopy
• +۳ مورد دیگر

Prof. Michael Habeck is a faculty member at the University of Göttingen, specializing in structural biology and computational methods. His research focuses on cryo-EM data analysis, molecular modeling, and integrating machine learning for biomedical applications. Advisor to 10+ PhD theses (2016–2023) Expertise in cryo-EM structure determination and validation Develops probabilistic models for dynamic proteins and change-point detection algorithms His work bridges structural biology with computational innovation, enabling high-resolution analysis of macromolecular complexes and advancing diagnostic tools via machine learning. Recent projects include CRISPR-edited cardiomyocyte models and super-resolution microscopy techniques. Key research areas span: Structural Biology: Cryo-EM, protein conformational changes Computational Methods: Bayesian modeling, tomography algorithms Machine Learning: Cardiac disease prediction, genomic data analysis