جست‌وجوی استاد و پژوهشگر

Violeta Karyofylliمشاهده پروفایل

پژوهشگر ارشد

• PEM Electrolysis
• Hydrogen Production
• Computational Electrochemistry
• +۴ مورد دیگر

Dr. Violeta Karyofylli serves as Acting Team Leader of Simulation within the Fundamental Electrochemistry department (IET-1) at Forschungszentrum Jülich's Institute of Energy Technologies (IET). Based in Building 10.3, Room 406 at Wilhelm-Johnen-Straße 52428 Jülich, she leads computational research focused on advancing hydrogen production technologies through sophisticated modeling approaches. Her role integrates leadership in simulation methodology with direct contributions to electrolysis innovation within Germany's premier energy research center. Her research centers on proton exchange membrane (PEM) water electrolysis, with specialized expertise in gas bubble dynamics, degradation mechanisms, and performance optimization of industrial-scale electrolyzers. She pioneers hybrid methodologies combining physics-based modeling with machine learning to analyze oxygen gas coverage, parasitic currents, and transport properties. Earlier work established her authority in computational engineering through space-time finite element methods for moving domains, droplet dynamics, and two-phase flow simulations in welding and injection molding applications. Publication trends from 2021-2025 reveal a strategic evolution from foundational numerical methods toward cutting-edge electrolysis research. Recent work (2023-2025) dominates in data-driven surrogate modeling, sensitivity analysis, and uncertainty quantification for PEM systems, while maintaining methodological rigor from her earlier computational fluid dynamics research. This trajectory demonstrates consistent innovation in solving energy transition challenges through advanced simulation techniques. As Acting Team Leader, Dr. Karyofylli directs the simulation group within IET-1, overseeing the development and application of computational models that directly inform electrolyzer design and operational strategies. Her team's work bridges fundamental electrochemistry with industrial implementation, particularly through high-throughput testing systems and multimodal degradation analysis for next-generation hydrogen production technologies.

Vaughan Vollerمشاهده پروفایل

استاد

• Numerical Methods
• Geophysics
• Heat Transfer
• +۵ مورد دیگر

Professor Vaughan Voller is a faculty member in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, where he conducts research at the St. Anthony Falls Laboratory. His work focuses on developing numerical and analytical techniques for problems in geophysics and heat transfer, with particular emphasis on situations involving moving boundaries and free surfaces. Professor Voller's educational background spans several decades of research in computational methods for geophysical systems. His expertise includes modeling crystal growth in undercooled melts, shoreline advance into sedimentary basins, unsaturated drainage, and particle-based solutions to Stefan problems. His research bridges theoretical mathematical approaches with practical geophysical applications, particularly in understanding shoreline evolution, sediment transport processes, and phase change phenomena. His recent publications (2021-2025) demonstrate a strong focus on coastal hydrogeology, deltaic systems evolution under sea-level changes, anomalous diffusion phenomena, and moving boundary problems in geophysical contexts. The research shows increasing integration of fractional calculus methods to address complex transport phenomena that don't follow classical diffusion models. Professor Voller has secured significant research funding for projects including: Field Investigation of Hydrologic and Hydraulic Characteristics of Effective Sea Lamprey Barriers (2025-2027) HYDROLOGIC AND HYDRAULIC CHARACTERISTICS OF EFFECTIVE SEA LAMPREY BARRIERS (2022-2024) Collaborative Research on Sea-Level Change, Sediment Transport and Geomorphology (2019-2024) Physical and numerical modeling of progradation of segregating tailing beaches (2018-2022) He teaches CE 8022: Numerical Methods for Moving Boundary Problems, emphasizing practical implementation of numerical methods including Control Volume Finite Element Method solutions. His research group maintains an active agenda with consistent publication output, reflecting his sustained contribution to the field since the 1980s.

• Astrophysics
• Plasma Physics
• Galaxy Clusters
• +۳ مورد دیگر

Thomas Berlok is a Postdoctoral Fellow at the Niels Bohr Institute, University of Copenhagen, specializing in theoretical astrophysics with a focus on plasma physics in galaxy clusters. He maintains dual affiliations with the Astrophysics and Planetary Research group and DARK (a center for cosmology and particle astrophysics). His research bridges plasma physics and astrophysics, examining how magnetic fields influence thermal processes in the intracluster medium. Dr. Berlok's primary research interests include: Plasma physics in galaxy clusters and the intracluster medium Magnetic field dynamics and instabilities Thermal conductivity and transport processes in weakly collisional plasmas Numerical simulations of astrophysical phenomena Composition gradients and element sedimentation in clusters Development of computational tools for cosmological simulations His recent work (2024-2025) has focused on magnetothermal instability suppression through whistler waves, anisotropic velocity fluctuations as magnetic field probes, and magnetic dynamos in galaxy clusters. Berlok has made significant contributions to understanding how magnetic fields affect heat transport in the intracluster medium, with his 2021 paper on suppressed heat conductivity accumulating 18 Scopus citations. He has also developed computational tools including the Paicos Python package for analyzing cosmological simulations. Dr. Berlok completed his PhD at the Niels Bohr Institute in 2017 with a thesis titled "Weakly Collisional and Collisionless Astrophysical Plasmas." His research combines theoretical analysis with sophisticated numerical simulations, maintaining collaborations with researchers at institutions including the Leibniz Institute for Astrophysics Potsdam.

Martin Bourneمشاهده پروفایل

مدرس ارشد

• Supermassive Black Hole Physics
• Galaxy Evolution
• Accretion Processes
• +۳ مورد دیگر

Dr. Martin Bourne is a Senior Lecturer and UKRI Stephen Hawking Fellow at the Centre for Astrophysics Research, University of Hertfordshire. His research focuses on supermassive black holes and their role in galaxy evolution, cosmology, and multi-messenger astronomy. With expertise in computational astrophysics, he contributes to the development of the Arepo code and participates in international collaborations like the Lisa Consortium and X-Gap. PhD in Theoretical Astrophysics (University of Leicester, 2015) BSc in Physics (University of Oxford, 2010) PGCE in Science Education (University of Bath, 2012) His work spans black hole feedback mechanisms, cosmological simulations, and AGN physics, with recent studies on radio jet interactions in galaxy clusters and gravitational wave signatures from premature black hole mergers. Martin also explores cosmic web structures and develops end-to-end simulation frameworks for observational validation. Scientific contributions include UKRI Stephen Hawking Fellowship Key member of the Lisa Consortium (space-based gravitational wave detection) Co-investigator in X-Gap (XMM-Newton) and SEEDZ (high-redshift black hole formation) projects As a software developer and educator, Martin bridges computational astrophysics with pedagogical innovation. His research portfolio impacts galaxy formation theories, cosmological simulations, and gravitational wave astronomy.

• Fluid Dynamics
• Quantum Computing in Fluid Mechanics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Josef Winter is a researcher at the Department of Aerodynamics and Fluid Mechanics within the TUM School of Engineering and Design at the Technical University of Munich. His work focuses on advanced numerical methods for fluid dynamics simulations, integrating quantum computing, machine learning, and Bayesian optimization to enhance computational efficiency and accuracy. University: Technical University of Munich School: TUM School of Engineering and Design Department: Department of Aerodynamics and Fluid Mechanics Academic Rank: Researcher Email: josef.winter@tum.de Dr. Winter's research interests include: Quantum algorithms for fluid dynamics Multi-fidelity and Bayesian optimization techniques High-order numerical methods Level-set-based sharp-interface simulations Deep reinforcement learning for flow optimization Complex flow modeling across scales His publication trends indicate a strong focus on merging quantum computing with classical fluid dynamics simulations, developing adaptive solvers like ALPACA, and optimizing numerical schemes for compressible and multiphase flows. Recent works explore dynamic circuits for quantum lattice-Boltzmann methods and multi-objective optimization frameworks. Dr. Winter's articles cover diverse aspects of fluid mechanics, including: Quantum computing applications in fluid simulation Level-set methods for interface dynamics BAYESIAN OPTIMIZATION OF NUMERICAL SCHEMES Multi-fidelity surrogate models for complex flows High-order methods for conservation laws Deep reinforcement learning for dynamic systems

Stefan Freiمشاهده پروفایل

مدرس ارشد

• Finite Element Methods
• Numerical Analysis
• Fluid-Structure Interactions
• +۴ مورد دیگر

Stefan Frei is a Senior Lecturer (Akademischer Oberrat, permanent) at the Department of Mathematics and Statistics, University of Konstanz, where he has been employed since June 2023 and completed his Habilitation in Mathematics in January 2024. His research focuses on the development and numerical analysis of finite element methods in complex applications, including interface problems, fluid-structure interactions, problems on moving domains (ALE and Fully Eulerian approaches), computational fluid mechanics, multi-scale problems in space and time, and biomedical applications. Recently, he has expanded into Scientific Machine Learning, combining classical numerical methods with machine learning, particularly artificial neural networks. Dr. Frei supervises multiple students including PhD candidate Jan Reichle working on Unfitted Finite Element Methods for Fully Eulerian Fluid-Structure Interactions, and several Master's and Bachelor's students researching neural networks and computational methods. His former students include postdocs Maneesh Kumar Singh and Oscar E Escobar Lasso. Principal Investigator in DFG project "Unfitted Finite Elements and Efficient Solvers for Fully Eulerian Fluid-Structure Interactions with Application to Rotating Wind Turbines" since June 2024 Founding Member of the Peruvian Competence Center for Scientific Computing (PeC3) since January 2019 Member of the Editorial Board of "Selecciones Matemáticas" since November 2016 His teaching includes Numerical Mathematics, Mathematics for Biologists and Sports Scientists, and Mathematics I/II for Chemistry, Life Science and Nanoscience programs. His publications demonstrate expertise in finite element methods, fluid-structure interactions, and computational mathematics with increasing focus on machine learning integration.

Christian Klingenbergمشاهده پروفایل

استاد

• Mathematical Fluid Mechanics
• Hyperbolic Conservation Laws
• Compressible Gas Dynamics
• +۷ مورد دیگر

Christian Klingenberg is a Professor at the Department of Mathematics, University of Würzburg, holding the Senior Professorship in Mathematical Fluid Mechanics at the Chair of Mathematics VI (Mathematics in the Natural Sciences). His academic journey began at the Courant Institute of Mathematical Sciences, New York University, where he earned his PhD in 1983 under Cathleen Morawetz. Research Interests: Mathematical Fluid Mechanics: compressible gas dynamics, magnetohydrodynamics, kinetic modeling of mixtures/plasma. Hyperbolic Conservation Laws: well-posedness in multi-dimensions, convex integration, non-uniqueness, relaxation limits. Numerical Methods: finite volume schemes, discontinuous Galerkin methods, well-balanced/low Mach schemes, moving mesh methods. Astrophysical Applications: accretion discs, protostellar jets, turbulence modeling, galaxy/stellar evolution simulations. Kinetic Equations: multi-species BGK equations, dynamical low-rank algorithms, PDE inverse problems in biology. Scientific Awards & Grants: DFG-funded projects (1997–2022) and graduate schools. INdAM, DAAD, Humboldt Foundation, and SCIENTIA fellowships. International exchange grants with institutions in China, France, India, Italy, Lebanon, Norway, and the USA. He leads a research team including Lena Baumann, Yu-Chen Cheng, Dr. Junming Duan, Dr. Kathrin Hellmuth, Eva Horlebein, and Lisa Lechner. He has organized key conferences like the Oberwolfach workshops (2021–2022) and the 16th International Conference on Hyperbolic Problems (2016), with future plans for the 2026 event 'Hyperbolic problems – a comprehensive approach.'

Johannes Tauschمشاهده پروفایل

استاد

• Numerical approximation
• Boundary integral equations
• Computational electromagnetics
• +۴ مورد دیگر

Johannes Tausch is a Professor at Southern Methodist University specializing in numerical approximation and fast methods for boundary integral equations. His research spans computational electromagnetics, optics, fluid mechanics, shape optimization, and high-dimensional quadrature. Applications include heat transfer, anomalous diffusion, wave propagation, and electromagnetic analysis. Research focuses on developing efficient computational techniques for boundary integral reformulations of PDEs. Key methodologies include fast multipole methods, adaptive quadrature, Galerkin formulations, and mesh-free approaches for complex geometries. Current work emphasizes parabolic problems, moving boundaries, and high-dimensional integration. Publications demonstrate consistent focus on accelerating integral equation solvers through hybrid algorithms, matrix compression techniques, and specialized quadrature. Recent advancements target time-dependent domains and multiphysics coupling. No awards or student advising information is provided in the source materials.

• Machine Learning
• Model Order Reduction
• Quantum Computing
• +۷ مورد دیگر

Prof. Wenxiao Pan is a Professor of Mechanical Engineering at the University of Wisconsin-Madison. Her interdisciplinary research bridges mechanical engineering, applied mathematics, and scientific computing, focusing on numerical methods for complex fluids, soft matter, and solid materials. She holds a BS and MS in Mechanical Engineering from Peking University, and a PhD in Applied Mathematics from Brown University. Education: PhD 2010, Brown University MS 2007, Brown University MS 2003, Peking University, China BS 2000, Peking University, China Research Interests: Machine Learning-enhanced Modeling Data-driven Model Order Reduction Quantum Computing Applications Complex Fluid Dynamics Energy Storage Systems Manufacturing Optimization Recent Research Trends: Prof. Pan’s work emphasizes scalable numerical methods and AI-driven simulations for materials design. Her recent publications highlight advancements in graph neural networks for particulate systems, quantum topology optimization, and phonon dynamics in nanomaterials. Awards: 2024 Vilas Associate Award 2017 R&D 100 Award (Carbon Capture Initiative) 2014 Pacific Northwest Lab Exceptional Contribution Award Advising & Grants: Active in mentoring graduate students and leading projects in energy storage and materials modeling. Her research group operates from https://pan.labs.wisc.edu/ .

• Turbulent Flow
• Large Eddy Simulation (LES)
• Renewable Energy Systems
• +۳ مورد دیگر

Guillaume Balarac is a Professor at ENSE3 (Grenoble Institute of Technology) within the University of Grenoble Alpes. He is affiliated with the Laboratory of Geophysical and Industrial Flows (LEGI) and leads research in the MOST team, focusing on turbulence modeling and simulation. Current Role: Professor since 2021 Prior Role: Maître de conférences (2008-2021) Award: IMT Espoir Prize - Academy of Sciences (2019) Recognitions: Junior Member, Institut Universitaire de France (2017-2022) His research explores turbulent flows through numerical simulations, emphasizing Large Eddy Simulation (LES) development, subgrid-scale modeling, and industrial applications in renewable energy systems. Key contributions include turbulence prediction methods, analysis of swirling flows, and machine learning integration for boundary condition reconstruction. Recent publications focus on LES optimization for complex geometries, turbulence in microencapsulation processes, and fluid-structure interaction solvers. His work spans fundamental turbulence studies and applied projects for hydraulic machinery, wind turbines, and additive manufacturing flows. Scientific Awards: IMT Espoir Prize - Academy of Sciences (2019) Institut Universitaire de France (IUF) Junior Membership (2017-2022) Balarac's collaborative efforts include partnerships with Stanford's Center for Turbulence Research and contributions to patents related to floating vertical-axis wind turbines.

Yosef Zlochowerمشاهده پروفایل

استاد

• Numerical Relativity
• Gravitational Wave Astronomy
• Astrophysics
• +۵ مورد دیگر

Yosef Zlochower is a Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT). He holds positions in the College of Science and the PhD Program in Astrophysical Sciences and Technology (AST). His education includes a Ph.D. in Physics from the University of Pittsburgh (2002) and a B.S. from the same institution. Zlochower specializes in numerical relativity, gravitational wave astronomy, and computational astrophysics, focusing on black hole dynamics, gravitational wave source modeling, and high-performance computing. His research contributions include foundational work on the 'moving punctures' approach for simulating binary black hole mergers, development of the Pitt Null Code within the Einstein Toolkit, and studies of gravitational waveforms via Cauchy-Characteristic extraction. He has been a key member of the LIGO Scientific Collaboration, contributing to major discoveries like GWTC-3 and the first observation of neutron star-black hole coalescences. Research Interests: Numerical Relativity and Gravitational Wave Modeling Black Hole Binaries and Recoil Phenomena Computational Methods in Astrophysics High-Performance Computing for Relativistic Simulations Gravitational Wave Astronomy and Data Analysis Awards: Recognized in Stanford University's list of top 2% scientists (2022) for impactful contributions in astrophysics. Principal investigator on a $1.8M NASA grant studying electromagnetic signals from supermassive black hole mergers (2024). Grants & Advising: Active in mentoring students in computational astrophysics and numerical relativity. Leads RIT's efforts in gravitational wave parameter estimation and computational tools development. Collaborates internationally with groups like the LIGO Scientific Collaboration and the Virgo Collaboration. Labs/Teams: Core member of RIT's Center for Computational Relativity and Gravitation (CCRG), developing open-source tools like AsterX and contributing to the Einstein Toolkit project. Engages in multi-messenger astrophysics initiatives linking gravitational waves with electromagnetic observations.

• Computational Mechanics
• Fracture Mechanics
• Discontinuous Galerkin Methods
• +۷ مورد دیگر

Robert B Haber is a Research Professor and Professor Emeritus in the Department of Mechanical Science and Engineering at the University of Illinois. He is also affiliated with the National Center for Supercomputing Applications (NCSA). His primary research focuses on advanced computational methods for fracture mechanics, discontinuous Galerkin methods, and elastodynamic analysis. He has contributed extensively to spacetime discontinuous Galerkin formulations for dynamic fracture simulations, adaptive meshing techniques, and multiscale modeling across disciplines like seismology and material science. Key research areas include: Dynamic fracture propagation in brittle materials Spacetime finite element methods Atomistic-continuum coupling Optimization algorithms for topology design High-performance computing for multiscale problems His work bridges computational mechanics with practical applications in geomechanics, structural optimization, and scientific visualization. Notable contributions include the development of adaptive spacetime discontinuous Galerkin methods for nonlinear systems and cohesive zone models for fracture analysis. Recent research trends emphasize parallel adaptive solutions for extreme-scale problems, such as seismology simulations and high-order numerical methods for hyperbolic systems. His projects often involve collaboration with NCSA for advanced computational infrastructure.

• Numerical Analysis
• Scientific Computing
• Finite Volume Methods
• +۷ مورد دیگر

Elena Gaburro is an Associate Professor at the Department of Computer Science, University of Verona. Her research focuses on advanced numerical methods for solving hyperbolic partial differential equations (PDEs) in complex systems, including applications in fluid dynamics, magnetohydrodynamics, and general relativity. She leads the ERC-StG project ALcHyMiA (2024-2029) with a €1.5M budget. Specialized in Finite Volume and Discontinuous Galerkin schemes Develops structure-preserving and Arbitrary-Lagrangian-Eulerian (ALE) methods Works with adaptive grids and unstructured meshes Her research has been supported by Marie Curie grants, ANR-JCJC ImPreVu, and DFG grants. She has held academic positions at Inria Bordeaux and University of Trento.

• Electromagnetic Field Theory
• Hysteresis Modeling
• Finite Element Analysis
• +۵ مورد دیگر

Prof. Klaus Roppert is a researcher at the Institute for Fundamentals and Theory of Electrical Engineering, Technische Universität Graz. His work focuses on electromagnetism, hysteresis modeling, and computational methods in electrical engineering. He holds degrees including Dipl.-Ing., Dr.techn., and BSc. Research Interests: Electromagnetic field theory and hysteresis modeling Finite element analysis for nonlinear systems Aeroacoustic simulations and fluid-structure interactions Material characterization and parameter identification Development of open-source simulation tools (e.g., openCFS) Recent work emphasizes transient analysis of transformers, rotational loss calculations, and energy-based vector hysteresis frameworks. He has contributed to modeling MEMS devices and EMI filters, with a focus on DC-biased components. Teaching and supervision: Involvement in courses and final theses supervision at TU Graz. Labs/Tools: Core contributor to openCFS, an open-source platform for coupled field simulations in acoustics and electromagnetics.

Vincent Moureauمشاهده پروفایل

پژوهشگر

• Combustion Modeling
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Vincent Moureau is a CNRS Research Fellow (HDR) at the CORIA laboratory, specializing in advanced computational fluid dynamics and combustion modeling. His research focuses on Large-Eddy Simulation (LES) of turbulent flows, spray dynamics, and thermo-acoustic instabilities in complex geometries. He is a core developer of the YALES2 solver, a high-order unstructured code for multiphase reactive flows. Positions: Research Fellow at CORIA, HDR, and affiliated with INSA de Rouen for teaching. Key Expertise: LES in gas turbines, piston engines, and wind turbines; numerical methods for HPC systems. He has taught courses on numerical methods, aerodynamics, and CFD software training. His work earned awards including the 2018 Grand Prix ONERA and the Digital Simulation Collaboration Award. His research includes industrial collaborations with SAFRAN and INRIA. Labs/Teams: Leads the YALES2 development team and contributes to the SIAME project for exascale computing. Active in the SIAME and MATI projects for aero-thermal systems and combustion modeling.