جست‌وجوی استاد و پژوهشگر

Benjamin Uekermannمشاهده پروفایل

استادیار

• Computational Science
• Multiphysics Simulation
• Parallel Computing
• +۳ مورد دیگر

Benjamin Uekermann is a Jun.-Prof. (Assistant Professor) at the University of Stuttgart's Institute for Parallel and Distributed Systems (IPVS), part of the Faculty of Computer Science, Electrical Engineering, and Information Technology. His work focuses on sustainable simulation software ecosystems , particularly advancing the preCICE coupling library for multi-physics and multi-scale simulations. He leads research in partitioned simulation coupling , reproducible software practices, and high-performance computing tools. His research interests include Parallel computing and distributed systems Numerical methods for coupled PDE-based simulations Scientific software sustainability and open-source frameworks Data-driven adaptive algorithms Validation and testing of simulation ecosystems Recent work emphasizes reproducibility via NixOS integration, user-friendly tools like MetaConfigurator and ASTE, and multi-X coupling across scales and physics domains. His preCICE library enables seamless integration of solvers like OpenFOAM and FEniCS for fluid-structure interaction, CFD/CSD, and thermohydraulics. Key contributions include scalable radial-basis interpolation methods, quasi-Newton acceleration schemes, and geometric multi-scale coupling frameworks. He actively develops educational materials on open-source scientific computing and advocates for sustainable research software practices.

Shicheng Yuمشاهده پروفایل

پژوهشگر

• Solid-State Battery Technology
• Electrochemistry
• Energy Storage Materials
• +۴ مورد دیگر

Dr. Shicheng Yu is a researcher at the Research Center Jülich GmbH , affiliated with the Institute of Energy Technologies (IET) under the Fundamentals of Electrochemistry (IET-1) department. His work focuses on solid-state battery technologies, electrochemical stability, and advanced energy storage materials. Research Interests Dr. Yu’s research spans Solid-State Battery Engineering Electrochemical Interface Design Ion Transport Mechanisms Material Degradation Analysis Hybrid Energy Systems with a particular emphasis on lithium/sodium metal batteries and computational electrochemistry. Scientific Contributions His recent publications (2023-2025) highlight innovations in 3D Electrode Architectures Garnet/LATP Electrolyte Optimization Non-Radiative Recombination Suppression Nano-Scale Interface Engineering for next-generation energy storage solutions.

Luis Cifuentesمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Turbulent Reacting Flows
• Parallel Computing
• +۶ مورد دیگر

Luis Cifuentes is a Senior Researcher at the Jülich Supercomputing Center (JSC), Research Center Jülich GmbH, and affiliated with the Chair of Fluid Dynamics at the University of Duisburg-Essen. His work focuses on high-resolution numerical modeling of turbulent and reactive flows using Large Eddy Simulations (LES) and Direct Numerical Simulations (DNS). Academic Affiliation: University of Duisburg-Essen Research Institution: Research Center Jülich GmbH Research Interests Computational Fluid Dynamics (CFD) Turbulent Reacting Flows Direct Numerical Simulation (DNS) and LES Turbulent Combustion Modeling (including MILD combustion) Nano-Particle and Soot Formation High-Performance Computing (HPC) AI-Based Engineering Solutions Publication Trends His research emphasizes DNS/LES of turbulent premixed/non-premixed flames, flame-vortex interactions, and particle formation dynamics. Key topics include scalar gradients, strain rates, flame curvature evolution, and Lewis number effects in combustion systems.

Karsten Breddermannمشاهده پروفایل

پژوهشگر ارشد

• Fluid-Structure Interaction
• Computational Fluid Dynamics
• Underwater Vehicles
• +۵ مورد دیگر

Karsten Breddermann is a Research Fellow at GEOMAR Helmholtz Centre for Ocean Research Kiel, affiliated with Research Division 4: Dynamics of the Ocean Floor and the Magmatic and Hydrothermal Systems unit. He leads the 'Seafloor Modelling' working group. His research focuses on fluid-structure interactions, computational/experimental fluid dynamics, and underwater vehicle design. Key projects include optimizing fishing gear hydrodynamics (SimuNet), assessing lithium-rich geothermal brine flows, and developing sustainable aquaculture systems. Research Interests: Breddermann specializes in hydrodynamic modeling of marine systems, including fluid-environment interactions, fishing gear optimization, and deep-sea technology. His experimental work spans wind tunnels, towing tanks, and sea-based measurements. Publication Trends: His 15 most recent articles (2011–2024) predominantly address hydrodynamic modeling in marine engineering contexts. Key themes include drag/lift coefficient analysis, fluid-structure interactions in fisheries technology, and pressure-tolerant deep-sea systems. Computational fluid dynamics (CFD) and experimental validation are consistent methodologies. Projects & Collaborations: Notable projects include bycatch reduction initiatives with Technical University of Denmark (2020–2021), hydrokinetic turbine development (2016–2017), and EU-funded Baltic IMTA aquaculture systems (2013–2016). He collaborates internationally with institutions in Denmark, the USA, and Germany. Infrastructure: Utilizes experimental facilities including wind tunnels, towing tanks, and unmanned underwater vehicles for hydrodynamic validation.

• Solar Thermal Energy
• Photovoltaic-Thermal (PVT) Systems
• Energy Storage
• +۳ مورد دیگر

Danjana Theis is a Lecturer at Saarland University of Applied Sciences, specializing in Renewable Energy / Energy Systems Engineering within the School of Engineering. She leads the Solar Energy Systems Laboratory at the University Technology Center (InnovationsCampus Saar) and has been teaching in the EEB/UIB programs since 2015. Her academic career spans over three decades, including leadership roles in solar technology research and development. Graduated in Mechanical Engineering (1994) from Saarland University of Applied Sciences Master of Arts in Safety Management (2022) focusing on solar system modeling and stagnation protection Her research interests center on solar thermal systems, photovoltaic-thermal (PVT) collectors, energy storage solutions, decentralized energy networks, and system simulation tools like TRNSYS and Polysun. She investigates area-efficient solar collectors, retrofitting PV systems for thermal integration, and 5th generation heating networks through experimental and computational methods. Recent publications highlight her work on PVT collector modeling, solar heat pump systems, wind turbine optimization, and IoT-enabled energy simulations. She has supervised numerous student theses on topics ranging from dynamic collector testing to solar system parameter identification, frequently employing TRNSYS and GenOpt for performance analysis. As technical director of the Solar Energy Systems Laboratory, she oversees experimental performance characterization and simulation studies. Her career includes involvement in international standardization committees (CEN/TC 312, ISO/TC 180) and collaborations with organizations like IEA SHC Task 60. She has conducted extensive research on stagnation safety, solar system reliability, and low-temperature heating networks.

• Multiphase Transport Phenomena
• Computational Fluid Dynamics (CFD)
• Fluid Dynamics
• +۵ مورد دیگر

Dr. Martin Wörner is a Senior Researcher and Head of the Multiphase Flow Group at the Karlsruhe Institute of Technology (KIT), affiliated with the Institute of Catalysis Research and Technology (IKFT). He holds a PhD in Mechanical Engineering (Dr.-Ing.) from the University of Karlsruhe (1994), with a thesis on turbulent Rayleigh-Bénard convection. His work spans over 30 years in multiphase flow dynamics, computational fluid dynamics, and reaction engineering. Education : PhD in Mechanical Engineering (Dr.-Ing.), University Karlsruhe (1994) Diploma in Mechanical Engineering (Dipl.-Ing.), University Karlsruhe (1989) Research Interests : Wörner’s research focuses on multiphase transport phenomena, computational fluid dynamics (CFD) of single and two-phase flows, residence time distribution theory, and turbulence modeling. He has pioneered numerical methods for simulating complex multiphase systems, including Taylor flow, bubble column dynamics, and droplet impact mechanics. His work integrates experimental validation with advanced numerical techniques such as phase-field methods and volume-of-fluid approaches. Teaching & Academic Contributions : He teaches advanced CFD courses on multiphase flows at KIT and co-lectures international training courses on ERCOFTAC Best Practice Guidance. Notable contributions include co-initiating the DFG Priority Programme 1506 on Transport Processes at Fluidic Interfaces (2010–2016) and serving as an International Subject Editor for Applied Mathematical Modelling . Awards & Recognition : Redtenbacher Award (1989) – Best diploma thesis in mechanical engineering Outstanding Contribution in Reviewing for Chemical Engineering Science (2018) Assigned Member of DECHEMA/VDI Section on Computational Fluid Dynamics (2020–present) Lab & Collaborations : His group collaborates internationally on projects involving CFD for dispersed multiphase flows, with applications in catalytic reactors, emission control, and microfluidics. Key tools include OpenFOAM® and custom numerical frameworks for phase-field simulations.

Hossein Khodamoradiمشاهده پروفایل

پژوهشگر

• Fluid Dynamics
• Atmospheric Sciences
• Aerosol Physics
• +۳ مورد دیگر

Dr. Hossein Khodamoradi is a Postdoctoral Researcher at the Max Planck Institute for Dynamics and Self-Organization, specializing in Fluid Physics and interdisciplinary domains. He earned his academic foundation in Condensed-Matter Physics at Bu-Ali Sina University in Iran, advancing his expertise in numerical simulations and experimental studies. Laboratory for Fluid Physics, Pattern Formation and Biocomplexity Research in aerosol dynamics, atmospheric science, and semiconductor crystal growth His research spans Fluid Dynamics , Thermal Stress Analysis , and Atmospheric Sciences , with a focus on computational modeling using COMSOL, OpenFoam, and Ansys. Key projects include WindArts (wind-atmosphere interactions), Crystal Growth Optimization for silicon carbide and germanium, and Aerosol Transport & Infection Risk assessments for airborne diseases. Recent publications emphasize crystal growth methodologies , thermal stress in materials , and surface force dynamics . Notable work includes refining Czochralski and Vertical Bridgman processes, analyzing coil-crucible geometries, and applying AFM to nanocomposite surface studies. He actively engages in interdisciplinary collaborations, leveraging advanced computational tools to address challenges in fluid mechanics, atmospheric research, and semiconductor manufacturing. Contact details include phone numbers (+49 551 5176-456, +49 551 5176-302) and affiliation with the Turbulence and Particles in Fluids research group.

Nils Rütherمشاهده پروفایل

استاد

• Hydraulic Engineering
• Sediment Transport
• Flood Modeling
• +۵ مورد دیگر

Overview Prof. Nils Rüther is a Professor of Hydraulic Engineering at the Technical University of Munich (TUM) within the TUM School of Engineering and Design . His research focuses on sediment transport mechanics, hydraulic modeling of rivers and urban flooding, and hydropower infrastructure sustainability. He specializes in integrating advanced numerical methods with geospatial data analysis for environmental engineering applications. Research Interests His work spans experimental hydraulics, CFD modeling, and field observations. Key areas include: Braided river morphodynamics using satellite imagery Sediment transport quantification via ADCP and SfM techniques Flood risk assessment in steep mountain rivers Optimization of hydropower plant designs Climate change impacts on river systems Technical Expertise Rüther employs cutting-edge tools like OpenFOAM, TELEMAC, and machine learning models for predictive hydraulics. His experimental work uses physical scale models and advanced instrumentation (ADCPs, SfM, ultrasound). Awards & Grants While no specific awards are listed, his active participation in EU-funded projects like HYPOS and DIRT-X indicates recognition in the field.

Mathis Frickeمشاهده پروفایل

پژوهشگر

• Analysis
• Fluid Dynamics
• Wetting Dynamics
• +۳ مورد دیگر

Dr. Mathis Fricke is a researcher in the Department of Mathematics at TU Darmstadt, affiliated with the Mathematical Modeling and Analysis (MMA) Institute. His work focuses on computational fluid dynamics, wetting processes, and mathematical modeling of multiphase systems. He specializes in numerical methods such as the Volume-of-Fluid (VOF) technique and Level-Set approaches, with applications to capillary dynamics, surfactant transport, and interface tracking in complex geometries. His research bridges experimental validation with numerical simulation, addressing challenges in fluid mechanics, energy systems, and biomedical engineering. Key areas of expertise include dynamic contact angle modeling, multiphase flow simulations using OpenFOAM modules, and optimization of fluid transport in microfluidic systems. He has contributed to advancing numerical frameworks for unstructured meshes and has collaborated on projects involving Bayesian model calibration and error quantification for energy economy systems. Dr. Fricke's work is characterized by interdisciplinary collaboration, combining analytical mathematics with high-performance computing. His publications span topics such as capillary rise dynamics, tribology measurements, and eigenmode analysis of slip-induced flows. Despite no explicitly listed awards, his contributions to computational methodologies have been recognized through his active role in the MMA Institute and academic collaborations. He maintains a lab/office in L2|06 411, Peter-Grünberg-Straße 10, Darmstadt, and is accessible via fricke@mma.tu-darmstadt.de.

Tomislav Maricمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Multiphase Flows
• Numerical Methods
• +۳ مورد دیگر

Dr. Tomislav Maric is a Research Group Leader at the Department of Mathematics, Technische Universität Darmstadt, specializing in numerical methods for multiphase flows. His work focuses on advancing computational fluid dynamics (CFD) through innovative techniques like the Volume-of-Fluid (VOF) method and Arbitrary Lagrangian-Eulerian (ALE) frameworks. He leads research on surfactant transport, interface tracking, and subgrid-scale modeling in complex fluid systems. Research Interests: Multiphase flows, VOF methods, computational microfluidics, surfactant dynamics, and software development in OpenFOAM. Key Contributions: Development of twoPhaseInterTrackFoam, a specialized OpenFOAM module for ALE interface tracking; stabilization techniques for capillary flow simulations; and integration of machine learning with CFD. Maric’s work emphasizes validation and verification of numerical algorithms, particularly in high-density-ratio two-phase flows and wetting dynamics in microstructures. His research bridges theoretical fluid mechanics with practical engineering applications in Lab-on-a-Chip devices and industrial multiphase systems.

Martin Heinrichمشاهده پروفایل

پژوهشگر

• Mechanical Engineering
• Fluid Dynamics
• Multiphase Flow Simulation
• +۳ مورد دیگر

Dr.-Ing. Martin Heinrich is a researcher at the Institute of Mechanics and Fluid Dynamics within the Faculty of Mechanical, Process and Energy Engineering at Technical University Bergakademie Freiberg . His work focuses on numerical flow simulation and computational fluid dynamics. Education: Diploma in Mechanical Engineering (2011), TU Bergakademie Freiberg (grade: 1.3) Doctorate in Mechanical Engineering (2016), TU Bergakademie Freiberg (summa cum laude) Martin Heinrich's research spans numerical simulation of multiphase flows , atomization of molten metals and water jets , and surface structuring using laser beams . He has conducted research stays at the University of Toronto (2019, 2017) and Amirkabir University of Technology (2018). His 15 most recent publications (2013–2025) include work on air sampling in closed environments , fluid-structure interaction , CFD software development , and laser-induced surface structuring , with a focus on computational methods like OpenFOAM and ANSYS CFX. Key awards: Summa cum laude doctorate in Mechanical Engineering (2016) He has collaborated with researchers such as Prof. Rüdiger Schwarze , Prof. Kinnor Chattopadhyay , and Dr. Hossein Khaleghi . His work includes grants for multi-scale modeling and fluid dynamics software tools .

Gerasimos Chourdakisمشاهده پروفایل

پژوهشگر

• Multi-physics coupling
• Geometric multi-scale modeling
• Fluid-structure interaction (FSI)
• +۴ مورد دیگر

Gerasimos Chourdakis is a Researcher at the Institute of Parallel and Distributed Systems (IPVS), University of Stuttgart, focusing on the Usability and Sustainability of Simulation Software. Previously, he was a Research Associate at the Chair of Scientific Computing in Computer Science (SCCS) at Technical University of Munich (TUM) from 2018 to 2024. He holds an M.Sc. in Computational Science and Engineering from TUM (2017) and a Diploma in Chemical Engineering from the National Technical University of Athens (2014). His research interests center on multi-physics coupling, geometric multi-scale modeling, fluid-structure interaction (FSI), and software engineering practices for sustainable research software ecosystems. He is a co-developer of the open-source preCICE library, which facilitates multi-physics simulations, and has contributed to projects like preDOM and ATHLET-preCICE. He emphasizes software sustainability, testing, and community-driven development. Chourdakis has supervised numerous student projects and thesis works, including contributions to preCICE’s OpenFOAM adapter, geometric multiscale coupling, and thermal-electrochemical systems. He has taught courses such as Advanced Programming and CSE Primer at TUM, redesigning curricula to integrate research software engineering (RSE) skills. He actively organizes workshops, conferences, and RSE initiatives, including the OpenFOAM Special Interest Group and the de-RSE Chapter Munich. His work bridges academic research with practical software development, fostering collaboration and sustainability in simulation tools. Chourdakis’ contributions to the preCICE ecosystem include system regression tests, documentation automation, and community engagement. He advocates for software sustainability through practices like continuous integration and testing frameworks, ensuring the library remains robust and user-friendly. His interdisciplinary approach integrates computational science with software engineering to advance multi-physics simulation methodologies.

Markus Mühlhäußerمشاهده پروفایل

پژوهشگر

• Molecular Dynamics Simulations
• 3-Body Interactions in Simulations
• Auto-Tuning Algorithms
• +۳ مورد دیگر

Markus Mühlhäußer is a Researcher at the Technical University Munich (TUM), affiliated with the TUM School of Computer Science and Information Technology (CIT) and the Department of Computer Science. He is part of the Chair for Scientific Computing in Computer Science, focusing on performance algorithms for Molecular Dynamics Simulations. His work involves advancing computational methods in 3-body interactions and auto-tuning strategies for high-performance computing environments. Education: M.Sc. in Computational Science and Engineering (CSE), TUM (2022) – Thesis: Computational Fluid Dynamics with OpenFOAM and preCICE B.Sc. in Nanotechnology, Friedrich-Alexander-Universität Erlangen-Nürnberg (2020) Research Interests: Molecular Dynamics Simulations Optimization of 3-body interactions in simulations Auto-tuning methodologies for parallel computing He has supervised multiple student projects, including implementations of Verlet Lists, Zonal Methods, and Lookup-Table based force calculations in the AutoPas software framework. His teaching contributions include assisting in courses on High-Performance Computing and Computational Fluid Dynamics. Software Projects: AutoPas, ls1, and mardyn, which are central to his research in scalable simulation tools.

Alexandra von Kamekeمشاهده پروفایل

استاد

• 2D-Turbulence
• Turbulent reactive flows
• Lagrangian Transport
• +۷ مورد دیگر

Prof. Dr. Alexandra von Kameke is a Professor in the Department of Mechanical Engineering and Production Management at Hamburg University of Applied Sciences. She is the Deputy Dean for Research in the Faculty of Engineering and Computer Science. Her expertise spans 2D-turbulence, turbulent reactive flows, Lagrangian transport, Faraday flow, and mixing dynamics in bioreactors. She leads research projects like the DFG-funded CRC 1615 'SMART reactors' and collaborates with TUHH's Institute of Multiphase Flows (IMS). Education: She holds a Diploma in Physics from the University of Heidelberg and a PhD from the University of Santiago de Compostela. Her postdoctoral career includes roles at TUHH, DLR Göttingen, and Sensirion AG in Switzerland. Key projects include Lagrangian analysis in bioreactors, Faraday flow dynamics, and bubble wake chemistry. Her research focuses on fluid dynamics' impact on chemical reactions and reactor efficiency, with applications in sustainable chemical production. She supervises PhD and MSc students (e.g., Felix Kexel, Rika Uphoff) and collaborates on subprojects B04 and B05 in the CRC 1615. Her work bridges computational models (e.g., OpenFOAM) with experimental methods like 4D-PTV and imaging spectroscopy.

• Computational Fluid Dynamics
• Multiphase Flows
• Fluid Dynamics
• +۳ مورد دیگر

Dr. Ronald Lehnigk is a Researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), specializing in Computational Fluid Dynamics (CFD). He focuses on OpenFOAM modeling of multiphase flows and is affiliated with the Fluid Dynamics Institute's Computational Fluid Dynamics department. His work contributes to advancing numerical methods and simulation techniques in engineering and fluid dynamics. Contact: r.lehnigk@hzdr.de , Phone: +49 351 260 3157. Office: Bautzner Landstraße 400, 01328 Dresden, Germany. ORCID: 0000-0002-5408-7370 . Research interests emphasize multiphase flow dynamics, computational modeling, and the application of CFD tools like OpenFOAM to solve complex engineering problems. His expertise bridges theoretical fluid dynamics with practical simulation methodologies.