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Prof. Dr. Nikolaus A. Adams is a full professor and Chair of Aerodynamics and Fluid Mechanics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. Born in 1963, he holds a doctorate from TUM (1993) and habilitation from ETH Zurich (1999). His research focuses on numerical methods, turbulent flows, microfluidics, and multiphase systems. He has held leadership roles, including Dean of the Faculty of Mechanical Engineering since 2023 and Vice Dean (2015–2016). Education: PhD from TUM (1993), habilitation from ETH Zurich (1999) Research interests include aerodynamics, fluid-structure interaction, and numerical techniques for compressible flows. His work spans high-speed aerodynamics and computational fluid dynamics (CFD). Awards include ERC Advanced Grants (GENUFASD 2023, NANOSHOCK 2015), the Gordon Bell Prize (2013), and Fellow of the American Physical Society (2011). Grants and leadership: Spokesperson of DFG SFB/TRR 40 (2008–2020), co-author of 'Large-Eddy Simulation for Compressible Flows' (2009), and editorial roles in J. Comput. Phys.

• Aerodynamics
• Fluid Mechanics
• Numerical Methods
• +۵ مورد دیگر

Prof. Dr. Martin Kronbichler is a faculty member at the Faculty of Mathematics , Ruhr University Bochum , leading the Numerics group. His research focuses on higher-order finite element methods, multigrid techniques, and high-performance computing for complex fluid and solid mechanics problems. Key Research Areas: Higher-order finite element methods, iterative solvers, multigrid algorithms, exascale mathematical software, and computational fluid dynamics. Notable Projects: EU-funded dealii-X (exascale digital twins), BMBF PDExa (optimized PDE solvers for exascale), and DFG grants for cut-discontinuous Galerkin methods and geometric multigrid. Publications Trends: Recent works emphasize matrix-free operators for hyperelasticity, diffuse-interface models for additive manufacturing, and multigrid smoothers for higher-order elements. Scientific Awards: Recipient of the Humboldt Research Award for his contributions to numerical methods and HPC. Team: Collaborates with researchers like Dr. Shubham Kumar Goswami, Dr. Richard Schussnig, and Natalia Nebulishvili.

• Higher-order finite element methods
• Numerical linear algebra
• Multigrid methods
• +۳ مورد دیگر

Prof. Dr. Stefan Luther is a Max Planck Research Group leader (W2, tenured since 2013) at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, and an Honorarprofessor at the Faculty of Physics, University of Göttingen. He holds adjunct roles as Adjunct Associate Professor at Cornell University (2009–2012) and Northeastern University (2016–2018), and serves as DZHK-Professor at the Institute of Pharmacology and Toxicology, University Medical Center Göttingen. His research focuses on nonlinear spatiotemporal dynamics in excitable biological media, particularly cardiac arrhythmias. He pioneered 4D imaging of heart function and developed algorithms for optogenetic and electrical control of arrhythmias. Translational efforts span basic research to preclinical and clinical studies. Education includes a Diplom in Physics (1997) and PhD (2000) from Georg-August-University, Göttingen. Postdoctoral training followed at the University of Twente (2001–2004) and Cornell University’s LASSP (2004–2006). His lab, the Biomedical Physics group, explores electromechanical coupling in cardiac systems and develops novel therapeutic approaches. Collaborations include work on computational modeling, uncertainty quantification in dynamical systems, and fluid dynamics of multiphase flows.

• Biomedical Engineering
• Cardiac Physiology
• Nonlinear Dynamics
• +۳ مورد دیگر

Fabian Fritz holds an M.Sc. degree and works at the Technical University of Munich (TUM) within the Chair of Aerodynamics and Fluid Mechanics . His research focuses on computational fluid dynamics (CFD) and numerical simulation of multiphase flows, particularly using Smoothed Particle Hydrodynamics (SPH) . He collaborates on projects like PBF-LB/M (additive manufacturing) and contributes to Lagrangian fluid mechanics benchmarking frameworks. Research Trends: His publications emphasize numerical methods (SPH, level-set, finite-volume), multiphase flow modeling , heat transfer , and thermoacoustic stability . Recent work includes hardware-agnostic code optimization and adaptive mesh refinement techniques. Education: Completed a master’s thesis on Diffusive-Interface Modeling of Multiphase Flows with Surface-Tension Effects , supervised by P.D. Dr.-Ing. habil. Stefan Adami.

• Computational Fluid Dynamics (CFD)
• Smoothed Particle Hydrodynamics (SPH)
• Multiphase Flow Modeling
• +۴ مورد دیگر

Professor Michael Manhart is affiliated with the Technical University of Munich (TUM) as an Extraordinary Professor in the Department of Hydromechanics . His research focuses on fluid mechanics, turbulent flow dynamics, and computational fluid dynamics (CFD) simulations, particularly in porous media and environmental fluid mechanics. Education: Not explicitly stated in the provided text. His recent publications investigate turbulent flow over random sphere packs, scalar transport at porous-turbulent interfaces, acoustic resonances in HVAC systems, and nonlinear oscillatory flow modeling. He employs advanced numerical techniques like direct numerical simulations (DNS) and large-eddy simulations (LES) to study flow structures, energy budgets, and particle transport mechanisms. Professor Manhart collaborates with researchers such as Yoshiyuki Sakai, Simon Wenczowski, and Daniel Quosdorf. His work addresses applications in environmental engineering, hydraulic modeling, and industrial fluid dynamics, with a strong emphasis on validating computational models against experimental data (e.g., PIV measurements). He leads the Professorship for Hydromechanics at TUM, conducting high-fidelity simulations and experimental studies on topics like wall shear stress estimation, sediment erosion around cylinders, and turbulence decomposition in complex flows.

• Fluid Mechanics
• Turbulent Flow
• Porous Media Dynamics
• +۳ مورد دیگر

Rupert Klein is a Professor at Freie Universität Berlin in the Department of Mathematics and Computer Science , specializing in Geophysical Fluid Dynamics . His research spans atmospheric dynamics, numerical methods, and gas dynamics of combustion. Research Interests : Geophysical Fluid Dynamics and Atmospheric Modeling Multiscale Asymptotic Analysis Wave Propagation and Turbulence Combustion and Pressure Gain Combustion Climate Dynamics and Data Assimilation Scientific Awards : DRS Award for Excellent Supervision (2014) ECMWF Fellowship (renewed 2017) His recent work includes multiscale models for atmospheric flows, vortex dynamics, and combustion processes. Key collaborations involve DFG SPP 1276, CRC 1029 (TurbIn), and CRC 1114 (SCCS) projects. He contributes to numerical methods for low-Mach-number flows and geophysical simulations.

• Geophysical Fluid Dynamics
• Atmospheric Dynamics
• Numerical Methods
• +۳ مورد دیگر

Prof. Dr.-Ing. Harald Klein holds the Professorship of Plant and Process Engineering at the TUM School of Engineering and Design (Technical University of Munich). His research focuses on process engineering analysis and synthesis, particularly thermal/chemical unit operations applied to power plant technology. Develops thermodynamic substance models & simulation tools Expertise in industrial process design and optimization Collaborates on hydrogen liquefaction and biofuel production Research trends: 2016-2017 publications show emphasis on sustainable energy systems Combines traditional process engineering with modern optimization Key domains: hydrogen technology, chemical reactors, and thermal systems

• Process Engineering
• Power Plant Technology
• Thermodynamics
• +۳ مورد دیگر

Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .

• Experimental Fluid Dynamics
• Data Assimilation
• Network Science
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Markus Schubert is Professor of Process Engineering at Dresden University of Technology's Faculty of Mechanical Science and Engineering, appointed in September 2022. Previously, he served as Group Leader for Fluid Process Engineering at Helmholtz-Zentrum Dresden-Rossendorf's Institute of Fluid Dynamics (2017-2022) and led the 'Mehrphasenreaktoren' group (2012-2016). His academic background includes: Doctorate (summa cum laude) in Mechanical Science and Engineering, Technische Universität Dresden (2007) Studies in Process Technology and Engineering, Technische Universität Dresden (1997-2003) Professor Schubert's research centers on multiphase flow phenomena and reactor innovation, with expertise spanning bubble column hydrodynamics, distillation tray efficiency, and advanced reactor systems including rotating and foam-based designs. His experimental and computational work addresses mass transfer optimization and flow pattern characterization in complex industrial processes. Analysis of his 2009-2023 publications reveals consistent focus on multiphase flow visualization and reactor design, particularly using X-ray tomography (ERC XFLOW project) and CFD modeling for distillation and bubble column systems. Key trends include the integration of advanced imaging techniques with process optimization for separation efficiency. His scientific recognition includes: ERC Grant for XFLOW project (Ultrafast X-ray tomography of turbulent bubble flows, 2013-2016) Professor Schubert has secured competitive research funding including the ERC grant and led international collaborations at institutions like Université Laval and UNSW. His work bridges fundamental hydrodynamics with industrial applications in chemical and process engineering. He currently leads process engineering research at TU Dresden, building on his leadership of the Fluid Process Engineering group at HZDR where he directed experimental facilities for multiphase flow characterization and reactor development.

• Process Engineering
• Fluid Dynamics
• Multiphase Flow
• +۳ مورد دیگر

Dr. Wanli Wang is a researcher at the Department of Aerodynamics and Fluid Mechanics at the Technical University of Munich . His work focuses on computational mechanics, fluid-structure interaction, and numerical modeling of multi-material systems. Education: PhD in Computational Mechanics, supervised by PD Dr. Stefan Adami. His research explores advanced numerical methods for hyperelastic materials and shock-driven phenomena, with applications in aerospace and biomedical engineering. Recent publications highlight his contributions to Eulerian framework modeling and bubble collapse dynamics for drug delivery systems. Dr. Wang collaborates with the NFDI4ING , GENUFASD , and Numerische Modellierung teams. He is affiliated with the Chair of Aerodynamics and Fluid Mechanics at TUM.

• Computational Mechanics
• Fluid-Structure Interaction
• Numerical Modeling
• +۲ مورد دیگر

Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.

• Granular Rheology
• Additive Manufacturing
• Space Technology
• +۳ مورد دیگر

Prof. Sebastian Kaiser is a full professor at the University of Duisburg-Essen's Institute for Combustion and Gas Dynamics, where he leads research on reactive fluid dynamics since 2011. His academic background includes a Bachelor's from Dartmouth College, Diplomingenieur from RWTH Aachen, and PhD from Yale University, followed by postdoctoral work at Sandia National Laboratories. Research Focus: Kaiser specializes in optical diagnostics for reactive systems with emphases on: High-speed imaging of combustion processes Nanoparticle synthesis via spray-flame techniques Tribology and fluid-structure interactions Engine diagnostics using laser-based methods His work bridges experimental techniques and simulation development for energy and propulsion systems. Publication Trends: Recent articles (2023-2025) demonstrate consistent focus on advanced optical diagnostics applied to combustion systems, nanoparticle synthesis, and engine research. Key methodologies include laser-induced fluorescence, high-speed imaging, and machine learning for fluid dynamics analysis. Awards & Honors: Harding-Bliss Prize for Engineering Excellence (Yale, 2005) SAE Excellence in Oral Presentation Award (2008) NRW Returning Scientists Grant (2010) Professional Affiliations: Member of Society of Automotive Engineers (SAE) and The Combustion Institute, with extensive experimental facilities for reactive flow characterization.

• Optical Measurement Techniques
• Reactive Flows
• Combustion
• +۴ مورد دیگر

Prof. Dr.-Ing. Andrea Beck is a faculty member and Managing Director of the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. She leads the Numerical Methods in Fluid Mechanics working group, focusing on high-precision numerical methods for supercomputers, particularly discontinuous Galerkin (DG) methods. Her research spans fluid mechanics, aeroacoustics, plasma physics, and multiphase flows, with applications in wind energy, helicopter systems, and environmental aerodynamics. Role: Professor and Managing Director, IAG Committees: Member of the DFG Review Board, Strategy Committee for National HPC, and steering committee of High Performance Center Stuttgart. Her research emphasizes high-order methods, turbulence modeling, and data-driven approaches. She teaches courses such as 'Numerical Methods in Fluid Mechanics' and 'CFD Programming Projects', and has developed open-source software like FLEXI and HOPR for high-performance computing. Recent articles highlight advancements in entropy-stable DG methods, turbulence simulation using graph neural networks, and multiphase flow modeling. Her work integrates machine learning with CFD to enhance simulation accuracy and efficiency.

• Numerical Methods
• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• +۷ مورد دیگر

Dr. Lintong Hou is a Researcher at Hamburg University of Technology (TUHH) in the Department of Geo-Hydroinformatics since July 2024. He holds a BSc in Civil Engineering from China University of Mining and Technology-Beijing (2018) and a PhD in Mechanical Engineering from the Institute of Mechanics, Chinese Academy of Sciences (2024), followed by postdoctoral research there. His expertise lies in multiphase flow dynamics, focusing on gas-liquid-solid phase interactions, phase separation under extreme conditions, and experimental methodologies for mass/energy transfer challenges. His current research at TUHH addresses river evaporation losses, aiming to quantify global fluvial network evaporation through multi-factor analysis. Prior work includes studies on oil-water emulsification, polymer rheology, and electrical resistance tomography applications. Key research interests include multiphase flow behavior, rheological modeling, and flow regime transitions in complex systems. Publications span Chemical Engineering Science, Industrial & Engineering Chemistry Research, and Ocean Engineering, emphasizing experimental and computational analyses of flow phenomena. His work bridges fundamental fluid mechanics with practical applications in environmental and energy sectors.

• Multiphase Flow
• Fluid Dynamics
• Rheology
• +۷ مورد دیگر

Prof. Rafael Macián-Juan holds the Chair of Nuclear Engineering (NTech) at the Technical University of Munich (TUM), part of the TUM School of Engineering and Design. He specializes in nuclear safety, reactor thermohydraulics, and advanced nuclear systems. With over 20 years of experience, he led research at the Paul Scherrer Institute (PSI) in Switzerland before joining TUM in 2007. His work focuses on experimental analysis, computational methods for nuclear systems, and radiation applications in medicine. Education: MSc in Energy Engineering (1990, Polytechnic University of Valencia), MSc & PhD in Nuclear Engineering (1993/1996, Pennsylvania State University) Research emphasizes reactor safety through experimental thermohydraulics, coupled neutronic simulations, and innovative fuel design. His 70+ publications address CCFL phenomena, uncertainty quantification, and drift-flux models. Awards include TUM's Golden Teaching Award (2009/2010) and Alpha Nu Sigma membership. Led the development of DYNSUB coupled code system and conducted critical studies on steam bubble condensation in large geometries. His lab integrates experimental facilities with advanced computational tools for safety analysis.

• Nuclear Safety
• Reactor Thermohydraulics
• Experimental Thermohydraulics
• +۳ مورد دیگر