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Filip SadloView profile

Professor

• Computer Science
• Scientific Visualization
• Flow Visualization
• +5 more

Prof. Filip Sadlo is a Full Professor of Computer Science at Heidelberg University's Interdisciplinary Center for Scientific Computing (IWR), leading the Visual Computing Group. He serves as Dean of Studies for the Department of Informatics since 2022 and holds roles in multiple academic organizations including VGTC Executive Committee (2022–2025) and Associate Director of IWR (2022–present). His research focuses on visualization of complex scientific data, flow analysis, vector field topology, and high-performance computing. Education: PhD in Computational Visualization from ETH Zurich (2010), with prior roles at European Forest Institute and University of Freiburg. Research Interests: Specializes in visualization techniques for fluid dynamics, vector fields, and uncertainty quantification. Key areas include Lagrangian coherent structures, advection-diffusion processes, and interactive visualization systems. His work bridges computational methods with real-world applications in engineering and environmental science. Publications: Over 80 peer-reviewed papers since 2004, emphasizing visualization algorithms for dynamic systems, topological data analysis, and scientific computing. Recent work explores metacognition in data visualization and discontinuous vector field analysis. Grants & Projects: Principal investigator in DFG-funded projects on visualization in meteorology and MRI-based diagnostics, as well as initiatives in data integration and simulation science (e.g., SFB-TRR 191, HIDSS4Health). Labs & Teams: Heads the Visual Computing Group, fostering interdisciplinary research in computational visualization and scientific computing.

Holger SteebView profile

Professor

• Continuum Mechanics
• Fluid Mechanics
• Porous Media
• +4 more

Holger Steeb is a Professor and Institute Director at the Institute of Applied Mechanics (MIB) at the University of Stuttgart, where he also holds the Chair of Continuum Mechanics. His academic journey includes a Diplom in Civil Engineering (1990–1995) and a Dr.-Ing. from the University of Stuttgart (2002). He has held positions at Saarland University, the University of Twente, and Ruhr-University Bochum. His research focuses on continuum mechanics, porous media, fluid dynamics, and fracture mechanics, leveraging computational methods and advanced imaging techniques like X-ray tomography. Steeb’s work integrates experimental and numerical approaches to study multiphase flows, geomechanics, and material behavior. He leads interdisciplinary projects involving collaborators from engineering, geology, and environmental science. Key methodologies include pore-scale modeling, additive manufacturing for micromodels, and fracture mechanics simulations. His contributions span energy storage (CO2 sequestration), glaciology, and material characterization of concretes and asphalt. Recent research emphasizes kinetic interface-sensitive tracers for reservoir characterization and the mechanical behavior of shape-memory polymers. His lab employs high-resolution imaging and machine learning for fracture detection and fluid displacement analysis. Steeb’s publications reflect a balance between theoretical frameworks and applied engineering solutions. Professional roles include leadership in the GeomInt initiative studying geomechanical integrity of host rocks. His work bridges micro-scale phenomena with large-scale environmental and infrastructural challenges, influencing both academic and industrial applications.

• Adsorption Chillers
• Modeling
• Computational Fluid Dynamics
• +5 more

Dr. Karolina Grabowska is a researcher at the Faculty of Science and Technology, Jan Dlugosz University in Czestochowa. She specializes in Adsorption chillers Modeling Computational Fluid Dynamics Renewable energy systems Her work focuses on fluidized bed reactors , adsorption cooling systems , and desalination technologies . Recent publications demonstrate expertise in CFD-DEM modeling , heat transfer optimization , and machine learning applications for energy systems. Key collaborations include researchers from institutions such as Faculty of Energy and Fuels Faculty of Mechanical Engineering Strata Mechanics Research Institute

Jan GiesselmannView profile

Professor

• Hyperbolic conservation laws
• Compressible fluid flows
• Discontinuous Galerkin Methods
• +6 more

Jan Giesselmann is a Professor of Mathematics – Numerics at the Department of Mathematics, Technical University of Darmstadt, serving since October 2018. He currently holds the position of Dean of the Department of Mathematics since October 2024, with prior academic appointments at the University of Stuttgart and RWTH Aachen University. Education: 2001: Abitur, Widukind Gymnasium Enger 2006: Diplom in Mathematics, University of Bielefeld 2011: PhD in Mathematics, University of Stuttgart 2015: Habilitation in Mathematics, University of Stuttgart Giesselmann's research centers on hyperbolic conservation laws and compressible fluid flows , employing discontinuous Galerkin methods with rigorous a-priori and a-posteriori error analysis . His work integrates model-adaptation and uncertainty quantification for complex systems, extending to observer-based data assimilation in gas networks and compressible multi-phase flows. He bridges theoretical numerical analysis with engineering applications through structure-preserving schemes and high-order methods. Current Research Leadership: Principal Investigator: Observer-based data assimilation for time-dependent flows in gas networks (DFG SFB-TRR154) Co-PI: A posteriori error control for statistical solutions of barotropic Navier-Stokes equations (DFG SPP-2410) Co-PI: Dissipative solutions for the Navier-Stokes-Korteweg system (DFG SPP-2410) Giesselmann actively supervises BSc/MSc theses on DG schemes, error estimation, and operator learning for conservation laws. His teaching portfolio includes advanced courses like Numerical Methods of Hyperbolic Problems and Discontinuous Galerkin Methods. He co-led COST Action CA18232's working group on numerical methods (2022-2024) and maintains an open-door consultation policy for students.

Britta NestlerView profile

Professor

• Materials Science
• Computational Materials Science
• Phase-Field Modeling
• +3 more

Prof. Dr. Britta Nestler serves as a Research Unit Chair at the Institute of Nanotechnology (INT) within the Karlsruhe Institute of Technology (KIT), Germany. Leading the Microstructure Simulations research group (INT-MSS), she focuses on computational modeling of mechanical and microstructural properties in materials, with significant contributions to phase-field methodologies for microstructure evolution and materials design. Her research spans computational materials science, phase-field modeling, and multiphysics simulations for energy storage systems. Key interests include chemo-mechanical coupling in multiphase systems, solid-state dewetting phenomena, battery electrode optimization, and microstructure-property relationships in polycrystalline materials. She integrates machine learning and data management frameworks to advance virtual materials design, particularly for post-lithium battery technologies. Recent publications reveal a strong emphasis on phase-field applications for energy materials, with 15+ 2025 articles addressing battery electrode design, structural optimization of porous materials, and multiphysics coupling in electro-chemo-mechanical systems. Her work bridges fundamental thermodynamics with industrial applications, notably in the POLiS Cluster of Excellence for post-lithium storage. Prof. Nestler actively shapes the field through leadership in the GAMM Workshop on phase-field modeling and the Materials/Microstructure Modeling conference. As part of KIT's Institute of Nanotechnology, her INT-MSS group collaborates on virtual materials design initiatives within the MaTeLiS Focus Field and NFDI4Ing research data infrastructure, driving digitalization in engineering sciences.

Malte BraackView profile

Professor

• Computational Mathematics
• Fluid Dynamics
• Numerical Analysis
• +6 more

Malte Braack is a Professor of Applied Mathematics at Christian-Albrechts-University of Kiel (CAU Kiel). He serves as Director of the Mathematical Seminar and Principal Investigator in the Cluster of Excellence 'The Future Ocean'. Additional roles include Editorial Board membership at the Journal of Applied Mathematics and Computing, participation in the SHUG Extended Executive Board, and involvement in DFG Priority Programs (e.g., Optimization with Partial Differential Equations, MetStroem). PhD: University of Heidelberg (1998) Habilitation: University of Heidelberg (2005) Diploma: University of Hamburg (1994) DAAD scholarship: University of Complutense Madrid (1991-1992) Braack's research focuses on computational mathematics and fluid dynamics, particularly stabilized finite element methods for partial differential equations, reactive flows, and ocean modeling. Recent work includes sedimentation models, Nash equilibria for collective choice, and CO2 leakage detection in marine environments. His 15 most recent publications (2019-2025) span fluid dynamics, numerical analysis, oceanography, and optimization. Key subfields include Navier-Stokes stabilization, reactive transport, deep learning for geoscience, and game-theoretic policy modeling. DAAD scholarship during studies at Madrid (1991-1992) Editorial Board: Journal of Applied Mathematics and Computing Membership: Sociedad Española de Matemática Aplicada (SEMA)

• Computational Fluid Dynamics
• Multiphase Flow Simulation
• Numerical Methods
• +3 more

Thomas Paula is a researcher at the Department of Aerodynamics and Fluid Mechanics under the Chair of Aerodynamics and Fluid Mechanics at Technische Universität München (TUM). His work focuses on computational fluid dynamics and multiphase flow simulation using advanced numerical methods. Current Research: Direct numerical simulation of droplet breakup via rapid thermal energy deposition Advisor: Dr.-Ing. Stefan Adami His recent publications highlight expertise in: High-resolution numerical schemes for compressible flows Accurate interface capturing in multi-phase systems Modeling of droplet explosions and cavitation dynamics Development of the ALPACA simulation framework (2022) Research trends include applications in aerodynamics, shock wave physics, and multi-component fluid systems, with a strong emphasis on computational modeling and algorithm development.

Marco GüntherView profile

Professor

• Mathematical Modeling
• Computational Fluid Dynamics (CFD)
• Multiphase Flows
• +3 more

Prof. Dr. Marco Günther is a faculty member in the Faculty of Engineering at Saarland University of Applied Sciences, specializing in Mathematics and Fluid Mechanics. His academic role includes teaching and research leadership in computational fluid dynamics and simulation. Research Focus: Mathematical modeling of flow processes, multiphase flows, and CFD applications Lectures: Mathematics for engineering, numerical simulation, technical fluid mechanics Projects: Numerical simulation of laser welding, flow behavior in wastewater treatment, and particle-laden flows External Affiliation: Scientific consultant for Fraunhofer-ITWM's Transport Processes division His research emphasizes industrial applications of fluid mechanics, with projects spanning from wind turbine optimization to urban water management. The Linux-based simulation tool 'gm.linux' was developed as a companion to his widely adopted textbook on mathematical modeling.

• Geology
• Reservoir Engineering
• Microbial Activity in Rocks
• +3 more

Saeed Khajooie is a Researcher in the Teaching and Research Area Applied Structural Geology at RWTH Aachen University. His work focuses on subsurface geological systems, particularly in the context of energy storage and reservoir characterization. Research interests include: Underground hydrogen storage mechanisms Microbial activity impacts on reservoir rocks Reservoir compartmentalization analysis Geochemical-reservoir engineering integration Fluid dynamics in hydrocarbon systems Recent research trends demonstrate expertise in: Hydrogen-rock interaction studies Microbial permeability alteration Reservoir continuity evaluation Formation testing data interpretation Capillary pressure applications Fluid property modeling

Lambert TheisenView profile

Researcher

• Partial Differential Equations (PDEs)
• Numerical Analysis
• Computational Fluid Dynamics
• +5 more

Lambert Theisen is a PhD student and Researcher at RWTH Aachen University's Applied and Computational Mathematics (ACoM) department. He holds a BSc (2014–2018) and MSc (2018–2019) in Computational Engineering Science from RWTH Aachen. His research focuses on PDE eigenvalue problems, asymptotic analysis, directional homogenization, and numerical methods for rarefied gas dynamics. He has held research roles at RWTH Aachen, the University of Stuttgart's NMH/IANS, and ABB Corporate Research. His research spans computational fluid dynamics, domain decomposition methods, and preconditioning techniques for eigenvalue algorithms. Notable contributions include finite element solvers for electrolyte models and FEniCS-based simulations of rarefied gas flows. His work often integrates advanced mathematical frameworks with high-performance computing. Teaching roles include assistantships for courses like 'Mathematical Aspects in Computational Chemistry' and 'Higher Mathematics for Engineers.' His publications are tracked via ORCid and emphasize scalable eigensolvers, mesh generation, and tensorial methods. He maintains a personal website at thsn.dev for research updates.

• Geophysics
• Hydrogeochemistry
• Digital Rock Physics
• +4 more

Frieder Enzmann is an Associate Professor and Academic Director at the Institute of Geosciences, Johannes Gutenberg University Mainz. He leads the Computed Tomography Laboratory (currently out of service) and oversees projects like HyINTEGER, ReSKIN, ReSALT, ReSKIN_Move, BIOPORE, MABEIS I/II, and others. His research focuses on geophysical imaging, porous media dynamics, and subsurface processes using advanced computational and tomographic techniques. Research Interests: Computed tomography (CT) applications in geosciences Pore-scale modeling of fluid flow and mineral precipitation Rock physics and reservoir characterization Geomorphological hazards (e.g., landslides, debris flows) Climate-related studies involving ice dynamics and sediment flux Projects highlight interdisciplinary collaboration, such as analyzing rockfall risks in Rhineland-Palatinate and modeling geothermal dynamics in flooded mines. His work bridges geology, engineering, and computer science, with applications in energy storage and environmental risk assessment. Publications span over 20 years, with recent emphasis on AI-driven image analysis and pore-scale simulations. He collaborates internationally on projects like HyINTEGER (hydrogen storage) and ReSalt (reactive reservoir systems).

• Computational Mechanics
• Numerical Simulation
• Shape Optimization
• +12 more

Stefanie Elgeti is Associate Professor and Private Lecturer at the Chair for Computational Analysis of Technical Systems (CATS), Faculty of Mechanical Engineering, RWTH Aachen University. She previously held a professorship in lightweight design at TU Vienna starting in 2019. Her research integrates computational mechanics with manufacturing process optimization, focusing on plastics extrusion, injection molding, and high-pressure die casting. Diploma in Mechanical Engineering, majoring in 'Manufacturing Techniques for Microsystems' PhD (2011): 'Free-Surface Flows in Shape Optimization of Extrusion Dies' Habilitation (2016): 'CAD-Conforming Finite Element Methods in Engineering Design' Her research centers on solving inverse problems in manufacturing through numerical simulation. She employs advanced techniques such as free-surface flow modeling, non-Newtonian material models, spline-based finite elements, and PDE-constrained shape optimization. Her group simulates entire process chains from filling to solidification and warpage prediction, enabling design optimization of cavities and cooling systems. The recent publications (2022–2024) reveal a strong trend toward integrating artificial intelligence—particularly physics-informed neural networks and Bayesian optimization—into traditional simulation workflows. There is increasing emphasis on warpage compensation, shape optimization of extrusion dies, and modeling of biomedical and environmental systems, showcasing a broadening scope from industrial manufacturing to interdisciplinary applications. She is actively involved in academic service, having served as vice-spokesperson of GAMM-Juniors (2013–2014) and currently co-chairing the ECCOMAS Young Investigator Group. While no formal awards are listed, her leadership roles and editorial contributions reflect significant recognition in the computational mechanics community. Prof. Elgeti advises students and leads multiple research initiatives at CATS, including work groups focused on production engineering, fluid-structure interaction, and INTERESST. Her team develops model hierarchies and digital twins for industrial processes, aiming to bridge simulation and real-world manufacturing through intelligent, adaptive systems.

• Computational Fluid Dynamics (CFD)
• Large-Eddy Simulation (LES)
• Aero-acoustics
• +5 more

Prof. Dr.-Ing. Wolfgang Schröder is a full professor at RWTH Aachen University and currently serves as Dean of the Faculty of Mechanical Engineering . In addition, he is Director of the Institute of Fluid Mechanics and Aerodynamics , a member of the Steering Committee of the Profile Area Modeling & Simulation Sciences , and RWTH’s representative in the Scientific and Technical Council (WTR) of the Forschungszentrum Jülich. His professional addresses are Wüllnerstraße 5a, 52062 Aachen and Eilfschornsteinstraße 18, 52062 Aachen , reachable at office@aia.rwth-aachen.de and dekan@fb4.rwth-aachen.de . His research portfolio spans computational fluid dynamics , large-eddy simulation , aero-acoustics , turbulent boundary-layer control , drag-reduction technologies , high-performance computing for multi-phase flows, and biomedical flow modeling . Recent work emphasizes: Multi-fidelity and surrogate modeling for active flow control and drag reduction. Advanced LES and hybrid RANS/LES methods for complex internal and external flows. Coupled CFD/CAA approaches to predict and mitigate aero-acoustic noise from airframes, landing gears, and distributed propellers. High-resolution simulations of gas-liquid and electrochemical flows in engineering and biomedical contexts. Across more than 80 peer-reviewed contributions since 2021, a clear trend emerges toward physics-based machine learning , real-time optimization , and exascale-ready algorithms that integrate experimental data (PIV, DLS) with massively parallel simulations. Scientific Awards & Honors : No specific awards are enumerated in the supplied text; however, his continuous leadership roles (Dean, Institute Director, WTR representative) indicate sustained recognition within the academic community. Advising & Funding : While individual student names are not listed, Prof. Schröder heads a large research group responsible for numerous doctoral and master’s theses. Projects are supported by German federal programs, EU Horizon initiatives, and industrial partnerships with aerospace and automotive sectors. Laboratories & Teams : He directs the Institute of Fluid Mechanics and Aerodynamics (AIA), operates within the Center for Computational Engineering Science (CCES), and leverages RWTH’s high-performance computing clusters for large-scale simulations.

Qi ShuView profile

Professor

• Thermal Engineering
• Fluid Dynamics
• Materials Science
• +4 more

Qi Shu is a Professor in the Compound Semiconductor Technology department at RWTH Aachen University . His research focuses on thermal engineering, fluid dynamics, and computational physics, particularly in advanced semiconductor technology applications. Current research interests include ferrofluid-based cooling systems, particle suspension mechanics, and heat transfer optimization in complex flows. His work combines experimental studies and numerical simulations to analyze thermal convection in particle-laden systems, non-spherical particle behavior, and shear flow effects on conductivity. Recent publications highlight trends in multiphysics modeling (LBM-DEM-FEM coupling), electromagnetic cooling systems using ferrofluids, and detailed investigations of particle rotation dynamics in nanofluids. These studies span disciplines including materials science, computational fluid dynamics, and applied thermal engineering. Based at the Central Laboratory for Micro- and Nanotechnology (ZMNT), his lab investigates semiconductor technology with a focus on thermal management solutions for high-performance electronic systems and nanoscale fluid dynamics.

• Discretization Methods
• Porous Media Flow
• Numerical Simulation
• +3 more

Bernd Flemisch is an Adjunct Professor at the University of Stuttgart, affiliated with the Department of Hydromechanics and Modelling of Hydrosystems within the Institute for Modelling Hydraulic and Environmental Systems. He holds a Dr. rer. nat. habil. (2013) and has been active in academic research since 2001. Education: 2001: M.Sc. in Mathematics, Iowa State University 2006: Doctoral Degree (Dr. rer. nat.), University of Stuttgart 2013: Habilitation (Dr. rer. nat. habil.), University of Stuttgart Research Interests: Flemisch specializes in discretization methods, solvers, and research software development for porous media flow. His work focuses on numerical simulation of multiphase systems, coupled flow processes, and adaptive multi-scale modeling. Key areas include computational geosciences, fluid mechanics, and energy storage solutions such as hydrogen and CO₂ sequestration. Professional Activities: Since 2024: Project leader in CRC 1667 and Base4NFDI/Jupyter4NFDI Since 2023: Dean of Studies for Civil Engineering at University of Stuttgart Leadership roles in NFDI4Ing (National Research Data Infrastructure for Engineering) Co-developer of open-source simulators like DuMuX and Frackit Lab & Teams: Engages in collaborative projects such as the FluidFlower CO₂ storage experiment and the Stuttgart Center for Simulation Science (SC SimTech). His work emphasizes reproducible research and sustainable software practices.