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Matthias NienhausView profile

Professor

• Electric Drives
• Active Magnetic Bearings
• Sensorless Control
• +7 more

Prof. Dr.-Ing. Matthias Nienhaus is a full Professor at Saarland University, serving as the Chair of Drive Technology within the Faculty of Engineering. He leads a research group focused on advanced drive systems, including active magnetic bearings, sensorless control, and electromechanical design. His teaching includes courses such as Drive System Technology - Components , and he supervises student theses in mechatronic systems. University: Saarland University School: Faculty of Engineering Position: Professor and Chair Holder Research Focus: Electric Drives, Magnetic Bearings, Sensorless Control His research interests lie in the development and optimization of mechatronic drive systems, particularly in the areas of active magnetic bearings (AMBs), sensorless position detection, and control strategies for electric motors. He investigates novel control methods such as sliding-mode and super-twisting control, as well as applications in Vernier motors and Foucault pendulum drives. His work integrates modeling, simulation, and experimental validation. The recent publications highlight a strong trend in control engineering for magnetic bearings, emphasizing robustness, sensorless operation, and optimization techniques. These works apply advanced control algorithms like particle swarm optimization and super-twisting sliding mode control to improve stability and performance in high-precision drive systems. Prof. Nienhaus actively supervises student research and final theses, guiding projects in areas such as torque motor test benches, electromagnetic actuators, and optimization of electric machines. While no specific grants are listed, his work implies ongoing research funding through university and likely national or industrial sources. He leads the Drive Technology research group (Lehrstuhl für Antriebstechnik) at Saarland University, which includes scientific staff and alumni working on cutting-edge topics in electric drives and mechatronics. The team utilizes simulation tools like Comsol Multiphysics and Ansys Maxwell, and develops embedded control systems for experimental validation.

Patrick HenritziView profile

Researcher

• Computational Electrodynamics
• Multiphysics
• Nanophotonics

Patrick Henritzi is a Postdoctoral Researcher at the Department of Physics , Technische Universitat Darmstadt. His work focuses on computational electrodynamics , multiphysics , and nanophotonics . Research Interests: Computational modeling of electromagnetic-thermal interactions Design and simulation of photonic integrated circuits Thermal effects in nanophotonic systems Recent Publications (2022-2023) highlight expertise in: Thermal lensing and electromagnetic heating in photonic devices Numerical simulation of plasmonic metasurfaces Finite element analysis of multiphysics systems

Alfred KamusellaView profile

Researcher

• Optimization
• Computer-Aided Design
• Mechatronics
• +3 more

Alfred Kamusella serves as a Researcher at Dresden University of Technology's Institute of Precision Engineering and Electronic Design, working as a Research Associate since May 2021 on a freelance basis. His responsibilities include research in mechatronic systems modeling and computer-aided design, alongside previously teaching CAD, Finite Element Method, and device technology courses through the 2020/2021 academic year. His research centers on probabilistic simulation and multi-criteria optimization for early-phase computer-aided design of mechatronic systems. He develops numerical modeling, simulation, and optimization methods for device analysis and synthesis, incorporating laboratory experiments to address design variations and conflicting requirements. Key focus areas include reliability engineering, finite element analysis, and electromagnetic actuator optimization. Publications from 2006-2011 reveal consistent specialization in robust design optimization using probabilistic methods, particularly for electromagnetic actuators and microsystems. His work integrates COMSOL Multiphysics, OptiY software, and multi-domain simulation techniques to enhance reliability assessment in mechatronic systems under parameter uncertainties. Kamusella administers the OptiYummy.de portal providing optimization tutorials and foundational resources. No information is available regarding student advising, grant funding, or scientific awards in the provided documentation.

• Wind Engineering
• Isogeometric Analysis
• Structural Optimization
• +6 more

Muhamed Horo is a Research Associate at the Chair of Structural Analysis at Technical University of Munich since 2024. He holds an M.Sc. in Civil Engineering from Technical University of Munich (2021–2024) and a B.Sc. in Civil Engineering from Middle East Technical University (2013–2019). Research Interests: Wind Engineering (modelling/simulation, vibrations, flexible membrane wings) Isogeometric Analysis (B-Rep elements, design of membrane structures) Structural Optimization (node-based approaches, additive manufacturing in construction) Multiphysics and Fluid-Structure Interaction Mesh regularization and robust mesh-moving techniques Smart structures and lightweight design Third-Party Projects: Involved in CoDA, Mistralwind, WINSENT, FlexWing, Digital Building Kit, and Generalized Force Density Method. Software Expertise: Carat++, Kratos Multiphysics, Windgenerator, TeDA, Kiwi!3D.

• Structural Optimization
• Computational Mechanics
• Wind Engineering
• +2 more

David Schmölz is a Researcher at the Chair of Structural Analysis, Technical University of Munich (TUM), where he has served as a Research Associate since 2020. His academic work bridges computational mechanics and structural engineering with practical applications in civil infrastructure and advanced manufacturing. Education: Research Associate, Chair of Structural Analysis, TUM (2020–present) M.Sc. in Civil Engineering, TUM (2017–2020) Semester Abroad, KTH Royal Institute of Technology, Stockholm (2016) B.Sc. in Civil Engineering, TUM (2013–2017) Abitur, Rudolf-Diesel-Gymnasium, Augsburg (2012) Schmölz specializes in node-based structural optimization using the Vertex Morphing method, with emphasis on thin-walled structures, bead pattern generation, and additive manufacturing applications. His research integrates wind engineering principles for membrane structures and addresses challenges in hydroforming constraints and discretization-independent parameterization. Key contributions include sensitivity filtering techniques and shape optimization frameworks for lightweight design in civil engineering contexts. His publication record (2021–2025) reveals a cohesive research trajectory focused on advancing node-based optimization methodologies. Dominant themes include engineering-constrained parameterization, bead feature generation for thin-walled systems, and hybrid approaches combining Vertex Morphing with rigid body mechanics. Recent work demonstrates increasing sophistication in handling manufacturing constraints for additive construction and hydroforming processes, while maintaining computational efficiency through discretization-independent formulations. David Schmölz has supervised four Master's theses at TUM covering truss optimization, infinite load-point scenarios, and extruded form optimization using Vertex Morphing. His research is funded through major third-party projects including CoDA, Mistralwind, WINSENT, FlexWing, and the Digital Building Kit, which target computational design advancements and wind engineering applications in civil infrastructure. As a core member of Prof. Roland Wüchner's Chair of Structural Analysis, Schmölz collaborates with a 15+ researcher team including Ann-Kathrin Goldbach and Suneth Warnakulasuriya. The group leverages advanced computational tools such as Carat++, Kratos Multiphysics, and Kiwi!3d for structural simulation, with ongoing development of the Vertex Morphing framework for industrial applications in offshore engineering and wind-excited structures.

• Mechatronics
• Mechanical Engineering
• Fluid Mechanics
• +7 more

Prof. Dr.-Ing. habil. Jörg Grabow is a Professor of Mechatronics at the Department of Mechanical Engineering, EAH Jena. He holds a diploma in Technical and Biomedical Cybernetics (1990) and a PhD in Parameter Identification (1995), both from TU Ilmenau, followed by habilitation in Radial Blowers (2004). His career spans roles at TU Ilmenau and EAH Jena since 2004. Research focuses on mechatronics, fluid mechanics, parameter identification, and biomedical engineering. Key contributions include books on generalized networks in mechatronics and collaborative work on nanopositioning systems, laser therapy, and acoustics. He holds patents on dynamic stiffness measurement and medical treatment systems. Publications span over three decades, emphasizing interdisciplinary applications in mechanical systems, laser Doppler velocimetry, and biomechanics. His work integrates theoretical models with practical engineering solutions, contributing to fields like HVAC systems, precision machinery, and medical devices.

Olaf BruchView profile

Professor

• Engineering Mechanics
• Finite Element Methods
• Polymer Materials
• +3 more

Prof. Dr. Olaf Bruch serves as a full Professor at Hochschule Bonn-Rhein-Sieg within the Department of Engineering and Communication, specifically affiliated with the Institute of Technology, Resource and Energy-efficient Engineering (TREE). His academic base is located in Sankt Augustin at Grantham-Allee 20, where he maintains office B 203 and can be reached via telephone +49 2241 865 318. His research spans critical areas in engineering mechanics with particular emphasis on finite element methods and polymer materials. Key focus areas include the integrative simulation of plastic components considering manufacturing-specific characteristics, prediction of shrinkage and warpage in extrusion blow molding using advanced viscoelastic models, development of experimental-numerical methods for material parameter identification, fluid-structure coupling for liquid-filled containers, and structural optimization of generatively manufactured automotive components. This work directly addresses industrial challenges in resource efficiency and sustainable manufacturing. Prof. Bruch leads and contributes to multiple significant research initiatives including PAExSiDur (polymer aging for service life extension), DigitalTwin-4-Multiphysics-Lab (urban and industrial digital twins), TreeOpt (simulation-based lightweight product development), ROForm (resource-optimized forming), and TRE³L (energy lab for powder metallurgy and sustainable mobility). His publication record demonstrates consistent contributions to polymer processing simulation, with recent work focusing on VMAP interface standard implementation and crystallization effects in polyethylene systems. As co-affiliated with Dr. Reinold Hagen Stiftung, he bridges academic research with industrial applications through projects like SmartBlow (intelligent blow molding machines) and Fortissimo 2 (ultra-clean containers). His leadership in the Structural Analysis and Optimization Working Group demonstrates his commitment to advancing simulation methodologies for complex engineering challenges in polymer manufacturing and structural design.

• Fluid Dynamics
• Magnetohydrodynamics
• Electrochemical Energy Storage
• +3 more

Norbert Weber is a Researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) , Institute of Fluid Dynamics. Contact: norbert.weber@hzdr.de , +49 351 260 3112. Address: Bautzner Landstraße 400, 01328 Dresden. PhD in Mechanical Engineering (2016), Technische Universität Dresden Research focus: Fluid dynamics, magnetohydrodynamics, and electrochemical energy storage Research Interests Fluid Dynamics: Thermo-solutal convection, Marangoni convection Magnetohydrodynamics: Tayler instability, metal pad roll instability, electro-vortex flow Electrochemical Energy Storage: Fuel cells, liquid metal batteries, molten salt batteries Numerical Simulation: Fluid dynamics, electrodynamics, mass/heat transfer OpenFOAM: VOF, multi-region modeling, multiphysics Scientific Awards & Projects Principal Investigator for DFG project on liquid metal battery modeling Coordinator of EU project SOLSTICE International Experience 2019 - Visiting researcher at CIEMAT, Madrid, Spain 2018 - Visiting researcher at Massachusetts Institute of Technology, USA 2016 - Visiting researcher at LIMSI, Paris, France 2010-2011 - Master thesis at Universidad Politécnica de Madrid, Spain 2008-2009 - Erasmus exchange at University Bordeaux 1, France

Dirk ReithView profile

Research Professor

• Molecular Simulation of Soft Matter
• Computational Fluid Dynamics (CFD)
• Lattice-Boltzmann Method
• +7 more

Prof. Dr. Dirk Reith is a Research Professor at the Department of Engineering and Communication , Bonn-Rhein-Sieg University of Applied Sciences. He serves as Director of the Institute of Technology, Resource Conservation and Energy Efficiency (TREE) and holds roles such as Senior Consultant at Fraunhofer SCAI and Presidential Representative for Institutional Research Collaborations. Reith is also a Faculty Advisor for the BRS Motorsport (Formula Student) team. Education: Physics and Mathematics at Johannes Gutenberg University Mainz and Uppsala University, Sweden. Research Focus: Molecular simulations of soft materials (polymers, ionic liquids), computational fluid dynamics (Lattice-Boltzmann), fluid-structure interaction, and innovative engineering education methods like Problem-Based Learning (PBL) and peer mentoring. Leadership: Director of TREE Institute, co-founder of Digital Twin-4-Multiphysics Lab (Fraunhofer SCAI, Reinold Hagen Foundation), and active in interdisciplinary projects such as PAExSiDur (polymer aging), KIMODE (AI-optimized design), and UMMBAS (molecular modeling for biochemical applications). Awards: Recipient of the 2020 Teaching Prize at H-BRS for integrating peer teaching in Formula Student projects. Collaborations: Visiting Professor at UC Davis (2017), partnerships with GKN Driveline, Yarmouk University, and DFG-funded initiatives. Reith's work bridges computational methods, sustainability, and education, with projects like TRE³L (hydrogen energy lab) and ROFEE (resource-efficient e-mobility) highlighting his commitment to applied research and resource conservation.

Holger MarschallView profile

Researcher

• Computational Fluid Dynamics
• Multiphase Flows
• Numerical Simulations
• +3 more

Dr. Holger Marschall is a Researcher and group leader at the Technical University of Darmstadt, specializing in Computational Multiphase Flow . His work focuses on developing high-fidelity numerical methods for multiphase flows using the OpenFOAM® C++ library, with applications in chemical reactors and fluid dynamics. Research Interests : Computational Fluid Dynamics (CFD), multiphase flows, numerical simulations, interfacial transport, and OpenFOAM technology. Academic Affiliation : Technische Universität Darmstadt, Center of Smart Interfaces, Mathematical Modeling and Analysis Group. Education : Dipl.-Ing. in Chemical Engineering from TU München (2006), Dr.-Ing. from TU München (2010, summa cum laude). His research spans method development, code implementation, and technical applications, particularly in multi-scale two-phase flows and reactive mass transfer . He has taught courses on computational fluid dynamics, reactor design, and heat/mass transfer. Recent publications emphasize phase-field methods , adaptive mesh refinement , droplet dynamics , and interfacial relaxation , with a focus on both fundamental and applied multiphase flow problems. Key journals include Physics of Fluids , Nature Physics , and Chemie Ingenieur Technik .

• Machine Learning
• Physics-Informed Neural Networks
• Computational Fluid Dynamics
• +12 more

Dr. Michael Rom is a researcher at the Institute for Geometry and Practical Mathematics (IGPM), part of the Faculty of Mathematics, Computer Science, and Natural Sciences at RWTH Aachen University, Germany. He is actively engaged in applied mathematics and computational engineering, with a strong focus on fluid dynamics, tribology, and machine learning applications in industrial processes. Research Interests: Physics-Informed Neural Networks Transpiration Cooling and Porous Media Flow Hydrodynamic Lubrication and Cavitation Modeling Reduced Basis and Homogenization Methods Grid Generation and B-Spline Surfaces Grinding Wheel and Surface Modeling His recent publications (2021–2025) show a clear trend toward integrating deep learning and data-driven methods into classical engineering problems, particularly in manufacturing, aerospace thermal protection, and tribological systems. He frequently collaborates with experts in mechanical engineering and materials science, bridging disciplines to solve complex multiphysics problems. Scientific Awards: No awards mentioned in the provided text. Dr. Rom has supervised or co-supervised several students, as evidenced by co-authored works with individuals like M. Schultz, F. Brumand-Poor, and V. König. He has also contributed to teaching at RWTH Aachen, offering courses in numerical computation and finite element methods. His research is supported by collaborations with industrial and academic partners, particularly in digital production and thermal spray technologies. Laboratories and Research Teams: Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen Collaboration with the Chair of Production Metrology and Quality Management (F. Klocke) Part of interdisciplinary projects such as Internet of Production and Monetization of Technical Data

• Materials Science
• Biomechanics
• Multiphysics Modeling
• +3 more

Prof. Dr.-Ing. Jana Wilmers is a Professor of Advanced Engineering Mechanics and Dean of Studies at Hochschule Stralsund, affiliated with the Faculty of Mechanical Engineering and Department of Advanced Engineering Mechanics. Her research focuses on biomimetic materials, multiphysics modeling, and composite mechanics. She teaches courses such as Technical Mechanics I, Engineering Mechanics II, and Machine Dynamics. Her research explores materials like limpet teeth, nacre, shark enameloid, and nanoporous composites, emphasizing their mechanical properties, microstructural design, and computational modeling. Publications highlight topics such as auxetic materials, crack-controlled composites, and digital twin applications in energy systems. Prof. Wilmers’ work bridges biological systems and engineering applications, with studies on orientation-dependent mechanics of dental enamel and strain relief mechanisms in multi-layer materials. Current research trends include biomimetic material design and multiphysically coupled modeling of polymer-based systems. She holds no explicitly listed awards but has authored over 20 peer-reviewed articles since 2014. As Dean of Studies, she oversees academic programs and course offerings, including the Faculty of Mechanical Engineering’s curriculum development.

Jens MüllerView profile

Researcher

• Fluid Mechanics
• Aerospace Engineering
• Turbulence Analysis
• +7 more

Jens Müller is a Researcher at the Technical University of Berlin , affiliated with the Faculty of Transportation and Mechanical Systems and the Institute of Fluid Mechanics and Technical Acoustics (ISTA) . He completed his M.Sc. in Aerospace Engineering at TU Berlin in 2018 and is currently pursuing his doctoral research as a Research Assistant in the Dynamics of Unstable Flows group. His research focuses on theoretical and data-driven analysis methods for flow control applications, including: Suppression of global flow instabilities in gas turbines and Francis turbines Reduction of trailing edge noise in wind turbine rotor blades Development of linear stability theory and adjoint-based optimization tools Dr. Müller has contributed to 15+ publications across fluid mechanics, turbulence modeling, and renewable energy applications, with a particular emphasis on: Bayesian optimization and resolvent analysis (2024) PIV-based modeling of combustor flows (2021) Multi-physics CFD solvers like FELiCS (2023) Vortex breakdown modes in jet flows (2020) He serves as a supervisor and teaching assistant for the course 'Methods of Data Analysis in Thermofluid Dynamics' at TU Berlin. His work bridges fundamental fluid dynamics with industrial applications in: Wind energy (noise reduction) Hydroelectric power (vortex precession control) Aerospace engineering (combustion instability mitigation)

• Computational Fluid Dynamics
• Wind Energy Technology
• Microfluidics
• +4 more

Pedram Azizi serves as a Researcher at the University of Rostock, currently affiliated with the Chair of Microfluidics since July 2020. Previously, he held research positions at the Chair of Wind Energy Technology from July 2018 to July 2020, and during his Master's studies worked there as both research and teaching assistant. His academic journey includes a Master's degree in Computational Science and Engineering (specializing in Computational Mechanical Engineering) from the University of Rostock (2018), preceded by undergraduate studies in Mechanical Engineering in Iran focusing on Fluid Mechanics and Heat Transfer. His research expertise spans computational mechanics with core competencies in CFD, FEM, and FSI methodologies. Research initiatives highlight his dual focus: in wind energy, he developed aerodynamic profiles for vertical axis turbines and control systems for floating offshore platforms; currently in biomechanics, he advances multiphysics models for cartilage stimulation within Collaborative Research Center ELAINE. His work consistently integrates numerical simulation with practical engineering applications across renewable energy and biomedical domains. He maintains active supervision of student projects in wind turbine aerodynamics and participates in third-party funded research. Current affiliations center on the Chair of Microfluidics within the University of Rostock's engineering faculty, contributing to interdisciplinary projects at the intersection of mechanical engineering and life sciences.

• Computational Mechanics
• Structural Dynamics
• Finite Element Analysis
• +5 more

Prof. Detlef Kuhl at the University of Kassel 's Institute for Structural Analysis and Structural Dynamics is a leading expert in computational mechanics, specializing in nonlinear structural dynamics, finite element methods, and durability analysis of concrete and industrial materials. He teaches core courses in Mechanics I-III , Numerical Mechanics , and Simulation Methods for Wind Power Plants , with international engagements at Vietnamese-German University. His research focuses on thermomechanical processes, fluid-structure interaction, and chemically induced material degradation, particularly in concrete structures. Habilitation : Ruhr-University Bochum (2004) PhD : University of Stuttgart (1996) His work spans advanced Galerkin time integration schemes, adaptive algorithms for nonlinear dynamics, and multiphysics simulations of rocket engines and steel forming. Recent publications address electrothermal analysis, thermoviscoplasticity, and inductive heating processes. He organizes summer schools on computational structural dynamics and contributes to educational outreach through children's university programs on bridge engineering. No scientific awards are explicitly listed in the provided materials.