جست‌وجوی استاد و پژوهشگر

Andrea Kühnمشاهده پروفایل

استاد

• Movement Disorders
• Parkinson's Disease
• Dystonia
• +۵ مورد دیگر

Prof. Dr. Andrea Kühn serves as Director of the Section for Movement Disorders and Neuromodulation at Charité – Universitätsmedizin Berlin, leading clinical and research activities across the Charité Mitte Campus (CCM) and Virchow-Klinikum Campus (CVK). As a professor of neurology since 2007, she oversees treatment for approximately 1,000 movement disorder patients annually through specialized clinics for Parkinson's disease, tremor, and dystonia, including deep brain stimulation (DBS) and botulinum toxin therapy programs. Her research program investigates the neurophysiological basis of movement disorders with particular focus on neuronal oscillations in basal ganglia circuits and the mechanism of action of deep brain stimulation. Prof. Kühn employs a multidisciplinary approach integrating clinical-neurophysiological studies, non-invasive stimulation techniques, sensor-based movement analysis, imaging research, and animal studies to develop more effective neuromodulation therapies. Since 2020, she has directed the transregional Collaborative Research Center TRR 295 ReTune, a €10 million initiative funded by the German Research Foundation that brings together researchers from multiple institutions to advance network-specific neuromodulation methods. Analysis of Prof. Kühn's recent publication record reveals a strong emphasis on understanding electrophysiological biomarkers for DBS therapy, particularly how local field potentials correlate with motor performance in Parkinson's disease. Her work increasingly incorporates computational modeling, network analysis, and personalized neuromodulation approaches to optimize treatment for movement disorders, with growing focus on extending these techniques beyond motor symptoms to address non-motor aspects of neurological conditions. Notable scientific achievements include: Development of LEAD-DBS software for precise electrode localization in DBS procedures, which received the Max-Rubner-Preis of the Charité Foundation in 2013 Leadership of the TRR 295 ReTune Collaborative Research Center with €10 million funding from the German Research Foundation Creation of a certified Class 1 medical device from research software used globally for DBS planning Prof. Kühn manages an extensive research program with numerous national and international collaborations across eight institutions. Her section operates within the Department of Neurology with Experimental Neurology across three Charité campuses, conducting clinical trials and translational research projects that bridge basic neuroscience with patient care. The team comprises senior physicians, researchers, and technical staff working on various aspects of movement disorder research and treatment development. The Movement Disorders and Neuromodulation Section maintains advanced research facilities for clinical neurophysiology, imaging analysis, and animal studies. It collaborates closely with the Center for Stroke Research Berlin and participates in the NeuroCure Cluster of Excellence, contributing to Berlin's reputation as a leading center for neurological research and innovation in neuromodulation therapies.

• Rate-Independent Systems
• Damage Processes
• Crack Propagation
• +۶ مورد دیگر

Prof. Dr. Dorothee Knees is a mathematician at the University of Kassel, holding the Professorship for Analysis since 2014. Her research focuses on variational calculus, non-smooth evolutionary equations, and mathematical models for damage processes, crack propagation, magnetic phenomena, and free surfaces in structural mechanics. She has led collaborative projects such as "Rate-independent systems in solid mechanics" with Jörn Mosler and participated in interdisciplinary initiatives like SPP 2256 on variational methods in engineering. Her work bridges mathematical analysis and computational mechanics, emphasizing physical relevance and numerical efficiency. University of Kassel (2014–present): Professorship for Analysis WIAS Berlin (2008–2010): Head of Leibniz Group "Modelling of Damage Processes" University of Stuttgart (2001–2005): Research Associate in Institute for Applied Analysis and Numerical Simulation Her research spans rate-independent systems, non-convex energies, and optimal control in dissipative materials. Key projects include analysis of phase-field fracture models, balanced viscosity solutions, and adaptive numerical methods for crack evolution. She has co-authored foundational papers on micromorphic continua, stress regularity in composites, and J-integrals for cracks in power-law materials. Scientific awards include a scholarship from the Robert Bosch Foundation's Fast Track Program (2005–2008). As an editor, she has contributed to special issues on PDEs and nonsmooth continuum mechanics.

• Gravitational Physics
• Quantum Field Theory in Curved Spacetimes
• Theoretical Astroparticle Physics
• +۲ مورد دیگر

Dr. Christian Röken is a researcher affiliated with the Institute of Philosophy at the University of Bonn, specifically within the Lichtenberg Group for History and Philosophy of Physics. His primary academic focus lies at the intersection of gravitational physics, quantum field theory in curved spacetimes, and theoretical astroparticle physics. Röken's work explores black hole models, relativistic quantum phenomena, and magnetohydrodynamical systems in the heliosphere. He contributes to loop quantum gravity research and develops analytical solutions for astrophysical problems such as blazar flaring and interstellar magnetic fields. His research interests include general relativistic models for black holes, fermionic and bosonic field interactions, and the application of quantum gravity concepts to cosmological and astrophysical scenarios. Notable contributions include horizon-penetrating coordinate systems for Schwarzschild black holes and time-dependent solutions for heliospheric magnetic fields. Röken's publications span theoretical physics journals, addressing both foundational and applied aspects of spacetime dynamics and quantum phenomena. Röken's work integrates mathematical rigor with physical intuition, bridging classical and quantum gravity frameworks. His involvement in transdisciplinary research at the University of Bonn highlights his engagement with cutting-edge topics in fundamental physics and astrophysical modeling.

Stefan Teufelمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Mechanics
• Adiabatic Perturbation Theory
• +۵ مورد دیگر

Prof. Stefan Teufel is a Professor in Mathematical Physics at the University of Tübingen's Department of Mathematics, within the Faculty of Mathematics and Natural Sciences. His research focuses on quantum dynamics, adiabatic theory, and topological insulators. He leads the Mathematical Physics group and contributes to collaborative research centers like CRC TR 352. Teufel has authored books on Bohmian mechanics and adiabatic perturbation theory, and his work bridges quantum mechanics with mathematical rigor. His teaching includes advanced courses on quantum theory and mathematical physics. Research Interests: Adiabatic theory, semiclassical analysis, quantum field theory, topological effects in quantum systems, and rigorous models in quantum mechanics. Publications: Over 100 peer-reviewed articles, including foundational work on adiabatic theorems, Wannier functions, and quantum waveguides. Recent focus areas include non-equilibrium states, thermalization, and spectral properties of quasicrystals. Affiliations: Editor for Documenta Mathematica and Letters in Mathematical Physics . Member of the Center for Quantum Science Tübingen. Supervises graduate students in the Graduate School 1838.

David Monniauxمشاهده پروفایل

پژوهشگر

• program verification
• abstract interpretation
• static analysis
• +۸ مورد دیگر

David Monniaux is a senior researcher (directeur de recherche) at CNRS and an adjunct professor at École polytechnique. He works at VERIMAG, a computer science laboratory jointly operated by CNRS and the University of Grenoble. Dr. Monniaux obtained his PhD in 2001 from Université Paris Dauphine under Professor Patrick Cousot, with a dissertation on the static analysis of probabilistic programs by abstract interpretation. He later earned his habilitation in computer science in 2009 from Université Joseph Fourier, Grenoble, and also holds an agrégation in mathematics. Monniaux's research focuses on program verification, with particular emphasis on proving software correctness. His work spans theoretical foundations in computability theory and practical applications in safety-critical systems. He has made significant contributions to abstract interpretation, static analysis, and the verification of numerical properties in programs. His research bridges computer science theory with practical engineering challenges, particularly in the context of critical embedded systems where software failures can have severe consequences. His work connects to diverse fields including game theory, algebra, and convex optimization. His recent publications demonstrate a strong focus on improving the precision and efficiency of static analysis techniques. Key themes include polyhedral approximation, program analysis with local policy iteration, abstraction of arrays and maps, synthesis of ranking functions, and computing worst-case execution times. These works collectively advance the field of program verification by addressing challenges in handling nonlinear constraints, branching, and complex data structures while maintaining computational feasibility. Monniaux has supervised several students including Julien Henry, Alexis Fouilhé, George (Egor) Karpenkov, and Alexandre Maréchal (now at LIP6), with current students Hang Yu and Valentin Touzeau. He has led significant research projects including VERASCO (2012-2015), which aimed at integrating a static analyzer into the CompCert certified compiler, and STATOR (2012-2017), an ERC starting investigator grant exploring advanced techniques for automatic inference of program invariants. At VERIMAG, Monniaux is part of a vibrant research community focused on critical systems. His work connects with broader efforts in formal methods, with applications in aviation, automotive systems, and other safety-critical domains where software reliability is paramount.

• Mathematical Physics
• Quantum Mechanics
• Analysis of Partial Differential Equations
• +۳ مورد دیگر

Prof. Thomas Østergaard Sørensen is a faculty member at the Mathematical Institute of Ludwig-Maximilians-Universität Munich (LMU) . His research focuses on mathematical physics, quantum mechanics, and the analysis of partial differential equations (PDEs), particularly those describing electron densities and wavefunctions in Coulombic and pseudorelativistic systems. He is affiliated with the working group on Analysis, Mathematical Physics and Numerical Analysis and can be contacted at sorensen@math.lmu.de . Research Interests : Regularity and analyticity of solutions to quantum mechanical PDEs Electron density behavior in relativistic and non-relativistic models Spectral theory of Schrödinger operators with Coulomb potentials Mathematical foundations of density functional theory Publications : Recent work includes studies on Coulombic wavefunctions, Hartree-Fock orbitals, and fractional Laplacian equations Research trends emphasize regularity estimates, nuclear singularities, and asymptotic analysis for large atomic numbers Teaching : Teaches advanced courses on analysis, PDEs, and functional analysis (e.g., Fourier series, elliptic PDEs, measure theory) Labs/Teams : Member of the Analysis, Mathematical Physics and Numerical Analysis working group at LMU

• Optimization
• Partial Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Professor Ekkehard Sachs is affiliated with the Department of Mathematics at the University of Trier . His research focuses on optimization, numerical analysis, control theory, and their applications in fields such as partial differential equations (PDEs), mathematical finance, and engineering. He has made significant contributions to PDE-constrained optimization, Riccati feedback control, and reduced-order modeling techniques. His work spans theoretical developments and computational methods, with a strong emphasis on interdisciplinary applications. Notable areas include the analysis of non-monotone line search algorithms, the study of Ramsey models in economics, and the numerical solution of complex systems such as integro-differential equations. Sachs has also contributed to the calibration of financial market models and the design of efficient numerical algorithms for optimal control problems. His publications highlight advancements in optimization theory, numerical methods for PDEs, and computational techniques for high-dimensional problems. While no specific scientific awards or grants are explicitly mentioned, his extensive publication record reflects a prolific and impactful academic career. His involvement in organizing international conferences and editing proceedings underscores his influence in the optimization community.

• Statistical Inverse Problems
• Regularization Theory
• Uncertainty Quantification
• +۷ مورد دیگر

Prof. Dr. Werner Frank holds the Chair of Mathematics IX (Inverse Problems) at the University of Würzburg. He is a leading researcher in statistical inverse problems, focusing on regularization theory, uncertainty quantification, and applications in biophysics, particularly fluorescence microscopy. His work bridges statistics and inverse problem methodologies with non-Gaussian noise analysis. Education: PhD in Mathematics from Georg-August-Universität Göttingen (2012) Postdoctoral Research (2012–2014) at the Institute for Numerical and Applied Mathematics Group Leader, Statistical Inverse Problems in Biophysics, at the Max Planck Institute for Biophysical Chemistry (2014–2020) Research Interests: Statistical inverse problem theory, multiscale scanning, minimax testing, super-resolution microscopy, and imaging techniques with statistical guarantees. His recent work emphasizes applications in biophysics and nanoscale imaging. Publications: Over 30 peer-reviewed articles in top journals like Inverse Problems , Journal of the Royal Statistical Society , and SIAM Journal on Scientific Computing . Key topics include Poisson data regularization, ill-posed problem analysis, and variational methods for image denoising. Affiliations: Active in professional societies such as the Society for Inverse Problems (GIP), IFIP Working Group 7.4, and the International Photonic Imaging Association (IPIA). Regular speaker at international conferences like Inverse Problems: Modeling and Simulation (IPMS) and Applied Inverse Problems (AIP). Future Work: Expanding research on adaptive regularization methods, spatial statistical resolution in microscopy, and interdisciplinary collaborations in imaging science.

• Earth System Data Assimilation
• Ensemble Filter Algorithms
• High-Performance Computing
• +۳ مورد دیگر

Lars Nerger is the Head of the Data Assimilation Team within the Computing and Data Centre at the Alfred Wegener Institute (AWI). He specializes in Earth system data assimilation, focusing on ensemble filter algorithms and high-performance computing. His work integrates advanced computational methods with climate and ocean modeling to improve predictive capabilities. Research interests include ensemble Kalman filtering, non-linear systems, and scientific computing frameworks. He leads the development of the Parallel Data Assimilation Framework (PDAF), a widely used open-source tool for data assimilation in geoscience applications. His contributions enhance model accuracy in oceanography, climate dynamics, and cryosphere studies. Recent articles highlight advancements in data assimilation for ocean biogeochemistry, coupled climate models, and sea ice prediction systems. Collaborations span atmospheric chemistry, paleoclimatology, and environmental monitoring, reflecting his interdisciplinary impact. His team’s work supports operational forecasting and scientific understanding of Earth’s complex systems.

Robert Altmannمشاهده پروفایل

استاد

• Partial Differential Algebraic Equations
• Poroelastic Equations
• Dynamic Boundary Conditions
• +۴ مورد دیگر

Prof. Robert Altmann is a Professor of Numerical Mathematics at the Otto von Guericke University Magdeburg, leading the Institute for Analysis and Numerical Analysis (IAN). He holds a PhD from TU Berlin and has held academic positions at institutions including the University of Augsburg and TU Berlin. His research focuses on numerical methods for partial differential equations, particularly PDAEs, poroelasticity, dynamic boundary conditions, and energy-based modeling frameworks like port-Hamiltonian systems. Education and Career: Bachelor's/Master's in Mathematics, Humboldt University Berlin (2007–2011) Research Stay at École des Ponts ParisTech (2011) Research Associate at TU Berlin (2011–2017) Academic Councillor at University of Augsburg (2017–2023) Research Interests: His work emphasizes numerical analysis for complex systems, including: Development of robust discretization schemes for PDAEs and poroelastic networks Energy-preserving methods for dynamic boundary value problems Riemannian optimization techniques for quantum systems Model reduction and multiscale methods for heterogeneous materials Grants and Projects: DFG Project: Decoupled computational methods for nonlinear parabolic problems (2020–2023) DFG Project: Higher-order decoupling integration schemes for poroelastic networks (2021–2024) DFG Project: Wave-type problems with non-standard boundary conditions (2024–2026) Awards and Recognition: Member of GAMM Juniors (2014) Dr.-Klaus-Körper Prize (GAMM, 2016) 2nd Tiburtius Prize (Berlin Universities, 2016) Team and Collaborations: His research group includes Dr. Afsaneh Moradi, Dr. Riccardo Morandin, and Jochewed Schmeck, focusing on computational methods for coupled systems and energy-based modeling.

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

Benno Kuckuck is an Investigator in Mathematics Münster at the University of Münster, affiliated with the Department of Applied Mathematics within the Faculty of Mathematics and Computer Science. His research focuses on numerical analysis, machine learning, and scientific computing, with a particular emphasis on deep learning methods for solving partial differential equations (PDEs) and addressing high-dimensional problems. He is involved in the project T10: Deep learning and surrogate methods under the Topics in Mathematics Münster initiative. His recent publications explore the application of neural networks to overcome the curse of dimensionality in PDEs, analyze error bounds in deep learning approximations, and investigate stochastic differential equations' regularity properties. Collaborations with prominent researchers like Arnulf Jentzen highlight his contributions to theoretical foundations of deep learning and numerical methods. Benno Kuckuck’s work bridges mathematical rigor with computational innovation, advancing both the theoretical understanding and practical implementation of machine learning techniques in scientific computing. His research has implications for fields requiring scalable solutions to complex, high-dimensional problems, such as physics, engineering, and finance.

• Numerical Methods for Non-Local Operators
• Multigrid Methods
• Iterative Solvers
• +۴ مورد دیگر

Steffen Börm is a Professor and Chair of Scientific Computing at the Institute of Computer Science, Christian-Albrechts-University, Kiel. His research focuses on developing efficient algorithms for non-local operators, multigrid methods, and numerical analysis of eigenvalue problems, which are critical for simulating complex scientific phenomena. Research Areas Numerical Methods for Non-Local Operators Multigrid Methods and Iterative Solvers Numerical Analysis of Eigenvalue Problems Scientific Computing Applied Mathematics In teaching, he offers courses on Algorithms and Data Structures , Numerical Mathematics for Engineers , and Numerical Analysis of Eigenvalue Problems , emphasizing computational efficiency and mathematical foundations. His work bridges theoretical algorithm design with practical applications in simulations across physics, engineering, and computer science.

Michael Plumمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equations
• Numerical Analysis
• Spectral Theory
• +۳ مورد دیگر

Prof. Dr. Michael Plum is a faculty member at the Institute for Analysis , part of the Karlsruhe Institute of Technology (KIT) . His research focuses on nonlinear partial differential equations , spectral theory , and computer-assisted proofs in mathematical physics and applied mathematics. He has contributed to the analysis of solitons, metamaterials, and stability problems in fluid dynamics. His recent publications include work on the spectral analysis of Maxwell equations , black soliton dynamics , and homogenization of metamaterials . He has developed rigorous numerical methods for eigenvalue problems and nonlinear boundary value problems. His teaching encompasses advanced courses in analysis , partial differential equations , and numerical methods . His research trends span nonlinear PDEs , metamaterial modeling , and stability analysis . He leads the Workgroup Nonlinear Partial Differential Equations at KIT and has collaborated extensively on problems involving photonic crystals , electromagnetic wave propagation , and nonlocal constitutive relations . His full description includes over 90 publications in journals like SIAM Journal on Mathematical Analysis , Communications in Mathematical Physics , and Physical Review B . He has supervised numerous seminars and courses on analysis and applied mathematics since joining KIT. His work integrates numerical computation with theoretical analysis to address complex problems in mathematical physics and engineering applications .

• Variational Inequalities
• Optimal Control
• Numerical Analysis
• +۲ مورد دیگر

Dr. Constantin Christof is a researcher at the University of Duisburg-Essen, Germany, leading the AG Optimal Control of Partial Differential Equations research group. His academic activities include teaching Mathematical Imaging (lectures/exercises), Practical Course in Numerical Mathematics (case studies), and Bachelor Seminar Mathematics for the Summer Semester 2025. His research spans Variational Inequalities , Optimal Control , Numerical Analysis , PDE-Constrained Optimization , and Nonsmooth Optimization . Key contributions focus on theoretical foundations of obstacle problems, directional differentiability, and stability analysis for variational inequalities. Recent work extends to machine learning applications like physics-guided neural networks for gas source localization and neural network optimization landscapes. Christof's publication trend (2021-2025) reveals deep specialization in nonsmooth optimization for PDE-constrained problems, with 15+ high-impact journal articles in SIAM, ESAIM, and IEEE venues. His work bridges theoretical analysis (e.g., Lipschitz stability, strong stationarity) and computational methods (semismooth Newton techniques), addressing challenges in rate-independent systems and non-Lipschitzian nonlinearities. Scientific Awards: No awards documented in available records. Advising and Grants: Current information does not specify student supervision or grant funding details. His research group structure suggests active mentorship of junior researchers through collaborative publications. Labs and Teams: Heads the AG Optimal Control of Partial Differential Equations research group, driving interdisciplinary projects connecting mathematical optimization with environmental monitoring and machine learning applications.

Peter Münchمشاهده پروفایل

پژوهشگر

• High-performance computing
• Matrix-free computations
• Iterative solvers
• +۷ مورد دیگر

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.