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Milad AminzadehView profile

Researcher

• Hydrological Modeling
• Climate Science
• Environmental Engineering
• +3 more

Dr. Milad Aminzadeh is a Researcher at the Institute of Geo-Hydroinformatics at Hamburg University of Technology (TUHH). He holds a PhD in Environmental Systems Science from ETH Zurich (2016) and previously served as an Assistant Professor of Civil Engineering at Isfahan University of Technology (2017–2022). His research focuses on physically-based modeling of hydrological processes, land-atmosphere interactions, and evaporation dynamics in natural and engineered systems. Education: BSc and MSc in Mechanical Engineering from Shahrood University of Technology and Sharif University of Technology PhD in Environmental Systems Science from ETH Zurich (2016) Postdoctoral research at ETH Zurich Research interests include: Evaporation suppression mechanisms in water reservoirs Impact of microplastics on soil and water systems Climate-driven drought and heatwave events Groundwater-atmosphere interactions Sustainability of water resources in arid regions Publications span over 30 peer-reviewed articles in journals such as Environmental Pollution , Hydrological Processes , and Water Resources Research , emphasizing experimental and analytical approaches to hydrological challenges. His work contributes to advancing climate adaptation strategies and sustainable water management through interdisciplinary collaborations.

Elissa EggenweilerView profile

Researcher

• Homogenisation
• Boundary Layer Theory
• Coupling Free-Flow and Porous-Medium Systems
• +3 more

Elissa Eggenweiler holds the position of Researcher at the University of Stuttgart, affiliated with the Institute of Applied Analysis and Numerical Simulation under the Chair of Applied Mathematics. She specializes in multiscale problems, particularly in homogenization, boundary layer theory, and the coupling of free-flow and porous-medium systems. Her work bridges theoretical analysis and numerical simulation techniques. Her research focuses on interface conditions for fluid-porous medium interactions, with applications in Stokes-Darcy systems and uncertainty quantification. Notable contributions include modifications to classical boundary conditions (e.g., Beavers-Joseph) and Bayesian validation frameworks for coupled flow systems. Eggenweiler’s publications (2020–2023) emphasize rigorous mathematical analysis and computational methods for multiscale phenomena. While no explicit awards are listed, her involvement in projects like the validation of pore-scale resolved models highlights her collaborative and applied research ethos. Currently, she contributes to the development of effective coupling conditions and numerical frameworks at the Institute, with a focus on advancing porous-medium and free-flow system modeling.

Marek BehrView profile

Professor

• Computational Mechanics
• Fluid Dynamics
• Biomedical Engineering
• +3 more

Marek Behr is a Professor (C4/W3) and Chairholder at the Chair for Computational Analysis of Technical Systems within the Faculty of Mechanical Engineering at RWTH Aachen University since 2004. He also holds an Adjunct Professorship at Rice University’s Department of Chemical and Biomolecular Engineering since 2005. His academic leadership roles include serving as Founding Director of the Center for Simulation and Data Science (CSD) since 2018, President of the German Association for Computational Mechanics (GACM) since 2021, and Executive Council Member of the International Association for Computational Mechanics (IACM) since 2020. He coordinates the International Research Training Group 2379 Modern Inverse Problems with the University of Texas at Austin. Behr’s research focuses on computational fluid dynamics (CFD) , biomedical engineering , and finite element methods , with applications in cardiovascular modeling, multiphysics systems, and manufacturing processes. His work bridges engineering and medicine, addressing challenges like in-stent restenosis, hemolysis prediction, and advanced material processing. He has an h-index of 45 (Google Scholar) and over 3,600 citations. Teaching responsibilities include courses such as Simulation Methods in Mechanical Engineering , Parallel Computing in Computational Mechanics , and Finite Elements in Fluids . His research group actively collaborates with institutions like the Jülich-Aachen Research Alliance (JARA) and the Oden Institute . Recent publications emphasize computational models for cardiovascular devices, machine learning in structural health monitoring, and advanced manufacturing simulations, reflecting his interdisciplinary approach to solving complex engineering problems.

• Particulate Systems
• Multiphase Flows
• Positron Imaging
• +3 more

Christopher Robert Windows-Yule is Associate Professor in Chemical Engineering at the University of Birmingham and Turing Fellow. He holds a joint appointment with the School of Physics and Astronomy's Positron Imaging Centre. His research focuses on particulate, fluid, and multiphase system dynamics, developing novel experimental and numerical techniques including Positron Emission Particle Tracking (PEPT), X-Ray Tomography, and Discrete Element Method (DEM) modeling. Windows-Yule investigates fundamental and applied problems across diverse systems: vibrofluidized/gas-fluidized beds, high shear mixers, rotating tumblers, hopper flows, and microgravity environments. His work combines advanced experimental methods with computational modeling to optimize industrial processes in chemical, food, pharmaceutical, and energy sectors. As part of the Birmingham Plastics Network, he contributes to interdisciplinary research on sustainable plastics solutions. His industrial collaborations leverage particle technology expertise to address challenges in catalyst design, powder processing, and energy-efficient manufacturing.

Anna ŻyłkaView profile

Researcher

• Fluidization
• Emission
• Chemical Processes
• +7 more

Dr. Anna Żyłka is a researcher at the Department of Advanced Computational Methods, Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, Poland. Her work focuses on fluidization, chemical looping combustion, and computational modeling of thermal processes. Fluidization techniques in energy systems Process simulation for emission reduction Reaction kinetics in combustion Her recent publications highlight advancements in CFD-DEM coupling for fluidized beds, CO2 capture optimization , and eco-friendly desalination systems . Collaborative efforts with co-authors like Jaroslaw Krzywanski and Karolina Grabowska underscore her interdisciplinary approach.

• Applied Mathematics
• Optimal Control Theory
• Partial Differential Equations
• +7 more

Karl-Heinz Hoffmann is a Professor at the Research Department Mathematics Centre, Technical University of Munich. His work bridges applied mathematics, control theory, and computational physics with applications in biotechnology and engineering. Institution: Technical University of Munich Unit: Research Department Mathematics Centre Email: karl-heinz.hoffmann@mytum.de His research focuses on the mathematical modeling of physical systems governed by partial differential equations, particularly in heat transfer, cryopreservation, biosensors, and multiphase flows. He develops theoretical frameworks and numerical methods for optimal control problems involving conductive, convective, and radiative heat transfer, with emphasis on applications in biological systems such as freezing and thawing of living cells. His interdisciplinary work integrates mechanics, thermodynamics, and nanotechnology. The recent publications reveal a consistent focus on PDE-constrained optimization, radiative heat transfer models, and cryopreservation protocols. Key trends include the use of phase field models, boundary control techniques, and numerical simulation of nonlinear systems. His work often involves collaboration with experts in physics and engineering to validate models against real-world phenomena. No specific scientific awards are listed in the provided text, though the title Dr. h.c. mult. (multiple honorary doctorates) indicates significant recognition in the academic community. Prof. Hoffmann has supervised or collaborated with numerous researchers in projects related to biosensors, heat transfer, and optimal control. While no formal list of advisees is given, his leadership in multiple publications and research reports suggests an active mentoring role. He has contributed to major research initiatives, including those funded by the DFG Priority Program 1253 on Optimization with Partial Differential Equations. His research has been conducted within collaborative environments such as caesar (Center of Advanced European Studies and Research), where he contributed to projects like MAMS (Mathematical Modeling of a Biosensor) and ELOBIS (Elasto-Optical Biosensor based on Nanostructures). These efforts involved modeling wave propagation, piezoelectric effects, and fluid-structure interactions in micro- and nano-scale systems.

• Computational Mechanics
• Quantum Optics
• Photonics
• +3 more

Prof. Xiaoying Zhuang is a faculty member at the Institute of Photonics within the Faculty of Mathematics and Physics at Leibniz University Hannover . She leads research initiatives in the PhoenixD Cluster of Excellence and contributes to the QuantumFrontiers cluster. Her work spans computational mechanics, quantum optics, and machine learning applications in engineering. Research Focus : Computational modeling of material failure, flexoelectric structures, and seismic metamaterials Key Collaborations : Institute of Photonics, PhoenixD Cluster, QuantumFrontiers Recent publications highlight her contributions to data-driven engineering, phase-field fracture modeling, and quantum-enhanced material simulations. Her methodological innovations include variational damage models and machine learning-powered multiscale analysis frameworks.

Steffen DirkesView profile

Researcher

• Fuel Cell Technology
• Green Hydrogen
• Energy Systems
• +3 more

Dr. Steffen Dirkes is the Acting Group Lead for System Research at the Institute of Energy Technologies (IET), Research Center Jülich GmbH . His work focuses on electrochemical energy systems, particularly proton exchange membrane (PEM) fuel cell technologies for sustainable mobility and industrial applications. His research interests span Fuel Cell Technology Green Hydrogen Energy Systems Optimization Computational Modeling Hydrogen Mobility Sustainable Energy . He specializes in predictive maintenance, dynamic system modeling, and energy-water nexus solutions. Dr. Dirkes has contributed to 12 publications (2019–2025) on topics like DryHy project for water-positive hydrogen carriers, lifetime management frameworks for fuel cells, and adaptive energy management strategies for hybrid railway systems. His work combines advanced simulation techniques with real-world validation in transportation and heavy-duty applications.

• Multiphase Flow
• Turbulence
• Computational Fluid Dynamics
• +2 more

Tian Ma is a Junior Group Leader at the Computational Fluid Dynamics Department of the Institute of Fluid Dynamics at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) . His work focuses on fundamental and applied problems related to turbulence and bubble transport in environmental and industrial flows, utilizing experiments and numerical simulations. Research Interests : Modeling of poly-disperse bubbly flows (iMUSIG), separated flows (AIAD), and GENTOP-concept for transitional flow morphologies. Applications include nuclear reactor safety, chemical reaction engineering, and multiphase flow optimization. Collaborations : Part of a Helmholtz European Partnering Program group with the Jožef Stefan Institute in Slovenia, focusing on advanced multiphase flow modeling. Contact : Located at Bautzner Landstraße 400, 01328 Dresden, Germany. Email: tian.ma@hzdr.de , Phone: +49 351 260 3805.

Maartje BoonView profile

Assistant Professor

• Environmental Engineering
• Energy Storage
• Geomechanics
• +5 more

Maartje Boon is an Assistant Professor at the Institute of Mechanics (MIB) , University of Stuttgart , leading the Porous Media department. Her research focuses on subsurface energy systems, particularly hydrogen and CO2 storage in geological formations. Specializes in multiphase flow dynamics and rock heterogeneity Applies microfluidics and computational modeling Collaborates with institutions like Stanford and TU Delft Research Highlights : Experimental characterization of hydrogen/brine interactions in porous rocks (2024) Microbial-induced wettability alteration for storage optimization (2024) Dynamic contact angle analysis for subsurface flow modeling (2022) Publications (2016-2024) demonstrate expertise in: Multiphase flow in heterogeneous sandstones Anisotropic saturation functions for reservoir simulation Geochemical mixing and dispersion mechanisms

• Fluid Dynamics
• Aerodynamics
• Shock Waves
• +5 more

Marcus Giglmaier is a researcher at the Chair of Aerodynamics and Fluid Mechanics within the Department of Aerospace and Geodesy at the Technical University of Munich (TUM). He holds a Dr.-Ing. degree and is actively involved in both teaching and research activities at TUM's Garching campus. His work is primarily focused on fluid dynamics phenomena with applications in aerospace engineering and materials processing. Dr. Giglmaier's research interests span multiple areas of fluid mechanics including droplet dynamics, shock wave interactions, multiphase flows, and nanoparticle synthesis. His work often combines experimental approaches with computational modeling to investigate complex fluid phenomena. He has made significant contributions to understanding droplet breakup mechanisms, bubble dynamics in various media, and gas-particle interactions in industrial processes. His publication record shows consistent research output from 2009 through 2025, with recent work focusing on liquid metal aerodynamics, metal powder production, and nanoparticle synthesis. The research demonstrates a clear progression from fundamental fluid dynamics investigations toward more applied industrial processes, particularly in materials manufacturing. Dr. Giglmaier teaches Applied CFD and Fluid Mechanics courses at TUM, contributing to the education of mechanical and aerospace engineering students. His teaching responsibilities include both lectures and central exercise sessions for core fluid mechanics courses.

Nils MuchView profile

Researcher

• Metal Additive Manufacturing
• Computational Mechanics
• Finite Element Methods
• +4 more

Nils Much is a Research Associate and founding member at the Professorship of Simulation for Additive Manufacturing at the Technical University of Munich (TUM), Germany. From 2020 to 2024, he was affiliated with the Institute for Computational Mechanics (LNM) at TUM, where he completed his M.Sc. in Mechanical Engineering in 2020. Research Interests: His work focuses on FEM-based melt pool modeling, CutFEM, continuum surface flux modeling, and high-performance computing for metal additive manufacturing. Key areas include microstructure evolution, thermo-solid-mechanics, and computational simulation of complex multiphase flows. Research Trends: Recent publications highlight advancements in finite element methods for multiphase flows, rapid evaporation dynamics, and predictive modeling in additive manufacturing. These works emphasize mathematical consistency, computational efficiency, and cross-scale simulations in metal AM processes. Scientific Awards: ERC Starting Grant Teaching Activities: He teaches courses such as Nichtlineare Strukturmechanik (Winter 2024/25), Nichtlineare Finite-Element-Methoden (2022–2024), and Technische Mechanik (2020–2021). He also supervises student projects on melt pool simulations and thermo-hydrodynamic modeling.

Benedikt PriflingView profile

Lecturer

• Materials Science
• Electrochemistry
• Computational Modeling
• +4 more

Dr. Benedikt Prifling is a Lecturer at Ulm University, specializing in computational materials science and electrochemistry. His research integrates advanced tomography, stochastic modeling, and machine learning to optimize materials for energy storage, particularly lithium-ion batteries. Research Focus: Prifling investigates microstructure-property relationships in porous media and battery electrodes. Key themes include: 3D microstructure modeling of battery components (anodes/cathodes) Synchrotron tomography for quantitative analysis of degradation Stochastic reconstruction of porous materials Data-driven prediction of mass transport phenomena His recent publications (2020-2024) demonstrate a strong emphasis on improving battery performance through computational design, manufacturing optimization, and electrochemical characterization. Common methodologies include lattice Boltzmann simulations, statistical learning, and digital twin generation.

Marco ten EikelderView profile

Research Fellow

• Computational Mechanics
• Numerical Analysis
• Fluid Dynamics
• +3 more

Marco ten Eikelder is a postdoctoral researcher and teacher in the Numerical Mechanics group at the Technical University of Darmstadt. His work centers on numerical analysis and mathematical modeling of partial differential equations, with applications in computational mechanics and fluid dynamics. He develops advanced discretization techniques, including finite element and isogeometric analysis methods, to improve the accuracy and stability of computer simulations for complex mechanical systems. His educational qualifications are as follows: B.S. in GitHub, GitHub University, 2012 M.S. in Jekyll, GitHub University, 2014 Ph.D. in Version Control Theory, GitHub University, expected 2018 Ten Eikelder's primary research interests include: Computational Mechanics Numerical Analysis Fluid Dynamics Partial Differential Equations Finite Element Methods Isogeometric Analysis His research aims to develop thermodynamically consistent models for multiphase flows, eliminate numerical artifacts such as the Gibbs phenomenon, and create efficient discretization techniques for both incompressible and compressible flows. Recent work extends to multiscale-multiphysics frameworks for biological applications, such as liver tissue modeling. The trends in his publications over the last few years show a progression from foundational work on energy stability in stabilized methods to advanced modeling of multiphase flows and biomechanical systems. Key themes include phase-field modeling, divergence-conforming discretizations, and the integration of variational multiscale methods with entropy principles for discontinuity capturing. No scientific awards are mentioned in the provided information. Teaching and professional activities: Teaches undergraduate and workshop courses in numerical analysis Active presenter at international conferences including ECCOMAS, GAMM, and USNCCM Member of 43 different Slack teams (indicating active collaboration) He is affiliated with the Numerical Mechanics research group at TU Darmstadt, which focuses on the development and analysis of numerical methods for engineering problems.

• Heat Transfer
• Fluid Mechanics
• Thermal Engineering
• +3 more

Arthur E. Bergles is a Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute, with additional affiliations at the University of Maryland and Massachusetts Institute of Technology. His work focuses on heat transfer, fluid mechanics, and thermal engineering, particularly in subcooled flow boiling, twisted-tape inserts, and enhanced heat transfer equipment. Research Trends: His recent articles (2017–2013) emphasize critical heat flux, pressure drop analysis, and thermal-hydraulics in small-diameter tubes and microchannels. Earlier work (2006–2001) explores rough surfaces, swirl flows, and phase change phenomena. Scientific Awards: ASME Medal (2000) Donald Q. Kern Award (1990) Max Jakob Award (1995) Lamme Medal (1987) Holladay Distinguished Fellow Award (2002) ICHMT Luikov Medal (1998) He has contributed to Journal of Enhanced Heat Transfer and collaborated on studies involving fouling, condensation, and microelectronic cooling. His legacy includes foundational work on correlations for frictional pressure drop and flow regime modeling in gas-liquid flows.