جست‌وجوی استاد و پژوهشگر

Christoph Thonمشاهده پروفایل

پژوهشگر

• Artificial Intelligence in Process Engineering
• Comminution Processes
• Wet Milling
• +۳ مورد دیگر

Christoph Thon (M.Sc.) is a researcher at the Institute for Particle Technology within the Faculty of Mechanical Engineering at Technische Universität Braunschweig . Since 2017, he has contributed to modeling comminution processes using artificial intelligence and serves as team leader for "Digital methods in solids process engineering" in the SPP 2364 research project on autonomous processes in particle technology. Education : M.Sc. in Bio- and Chemical Engineering (2015-2017), TU Braunschweig B.Sc. in Bio- and Environmental Engineering (2011-2014), Ostfalia Fachhochschule Wolfenbüttel His research focuses on artificial intelligence applications in process engineering , particularly for wet milling and comminution processes . He employs numerical simulations, machine learning, and data-driven approaches to develop hybrid frameworks for industrial particle technology. Recent publications highlight his work on 3D shape prediction from 2D images and physics-informed modeling for battery electrode processing. Scientific Contributions : Co-authored 7 peer-reviewed publications (2021-2024) in journals like Chemical Engineering Journal and Advanced Intelligent Systems Developed multi-modal frameworks combining AI with CFD and DEM simulations Contributed to sustainable process engineering through digital modeling

Dominik Schillingerمشاهده پروفایل

استاد

• Numerical Mechanics
• Isogeometric Analysis
• Finite Element Methods
• +۷ مورد دیگر

Prof. Dominik Schillinger (Technische Universität Darmstadt) is a leading expert in numerical mechanics, with 15+ years of academic leadership in computational methods, multiscale modeling, and biomedical applications. His career spans prestigious institutions including Leibniz Universität Hannover and University of Minnesota. W3-Professur für Numerische Mechanik (2021–present) W2-Professur für Numerische Mechanik (2019–2021) Assistant/Associate Professor (2013–2019) Postdoc & PhD (2008–2012) His research focuses on isogeometric analysis , discontinuous Galerkin methods , and multiscale biomedical modeling , with applications in vascular networks, bone mechanics, and additive manufacturing. He pioneered phase-field methods for fracture analysis and physics-informed neural networks for material modeling. Recent publications highlight matrix-free algorithms for compressible flows, physics-augmented lattice optimization , and thermodynamically consistent phase-field models . Awards include the PECASE , ERC Starting Grant , and NSF CAREER award. Presidential Early Career Award (2019) ERC Starting Grant (2017) NSF CAREER Award (2017) ICE Zienkiewicz Medal (2015) He teaches core courses in numerical methods , finite element analysis , and computational mechanics at TU Darmstadt and Leibniz Universität Hannover, with international collaborations in Bethlehem and Austin.

• Computational Mechanics
• Continuum Mechanics
• Material Modeling
• +۳ مورد دیگر

Prof. Dr. Philipp Junker serves as the Executive Director of the Institute of Continuum Mechanics at Leibniz University Hannover within the Faculty of Mechanical Engineering. He also participates in several collaborative research initiatives including Task Group S1: Macro Optical Systems, International RTG 2657: Computational Mechanics Techniques in High Dimensions, and PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines. His work bridges continuum mechanics with computational methods and optical engineering applications. Professor Junker's primary research interests lie in computational mechanics, continuum mechanics, and their applications to material modeling and structural analysis. His work focuses on developing advanced numerical methods including virtual element methods, phase field fracture modeling, and variational formulations for material behavior. He explores applications in diverse areas such as biomedical engineering (dental implants, stents), thermal barrier coatings, and optical systems engineering. His recent publications demonstrate a strong focus on computational efficiency and accuracy in mechanical simulations, with particular emphasis on damage modeling, fatigue analysis, and multi-physics coupling. His research group develops novel numerical frameworks that integrate thermodynamics principles with computational methods to address complex engineering challenges. Professor Junker is actively involved in the academic governance of Leibniz University Hannover as a member of the Senate and as a representative for professors. His leadership role as Executive Director positions him to shape research directions and academic programs within mechanical engineering.

• Mechatronics
• Sensor Technology
• Electrical Engineering
• +۷ مورد دیگر

Kai Haake is a Professor at Saarland University of Applied Sciences, Faculty of Engineering, specializing in Mechatronics and Sensor Technology. He is actively involved in teaching and laboratory development, offering courses in electrical engineering, electronics, sensor technology, and numerical simulation. Research interests include robotics, artificial intelligence, IoT, 3D imaging systems, and electromagnetic field mapping. His work often bridges mechanical and electronic systems. His publications focus on electromagnetic compatibility, sensor integration, and field distribution analysis, with a strong emphasis on industrial applications. He holds multiple patents related to sensor technology and industrial truck systems, though no specific scientific awards are documented.

• Theoretical Physics
• Computational Physics
• Materials Science
• +۴ مورد دیگر

PD Dr. Dmitry Chigrin is a Research Professor at RWTH Aachen University's Department of Physics and an independent research group leader at the DWI–Leibniz Institute for Interactive Materials. He holds a Heisenberg Fellowship (DFG) and specializes in theoretical and computational physics of complex artificial systems, including phase-change materials, metamaterials, plasmonics, and hydrogel-based systems. His work spans applications in biomedical imaging, nano-optics, and material engineering. Education: Diploma in Theoretical Physics (Belarusian State University, 1997) Ph.D. in Electrical Engineering (University of Wuppertal, 2004) Habilitation in Theoretical Physics (Friedrich Schiller University Jena, 2014) Research Interests: Phase transitions in Ge-Sb-Te materials Reconfigurable metamaterials and metasurfaces Photoacoustic imaging with gold nanoparticles Hydrogel-based micro-robotics and biomedical applications Plasmon-polaritonic nanostructures His research integrates multi-physics simulations, theoretical modeling, and experimental collaboration to advance materials science and nanotechnology. Key projects include tuning metasurfaces via phase-change materials and optimizing nanostructures for biomedical imaging. Awards: Heisenberg Fellowship (DFG, 2017) Labs/Teams: Theory of Complex Materials Group (DWI-Leibniz Institute)

Sebastian Wolfمشاهده پروفایل

پژوهشگر

• Earthquake Simulation
• Wave Propagation
• Discontinuous Galerkin Methods
• +۳ مورد دیگر

Dr. Sebastian Wolf is a researcher at the Technische Universität München (TUM), associated with the TUM School of Computation, Information and Technology and the Chair of Scientific Computing in Computer Science (SCCS). His primary research focuses on earthquake simulation software (SeisSol), wave propagation phenomena, and discontinuous Galerkin methods. He specializes in computational seismology, particularly in simulating seismic waves in complex poroelastic media and dynamic rupture processes. His work integrates high-performance computing (HPC) techniques for extreme-scale simulations. Current Affiliations: SCCS, TUM; Leibniz Supercomputing Centre (office location) Key Research Areas: Seismic wave modeling, numerical methods (ADER-DG), poroelastic media, and uncertainty quantification Teaching responsibilities include numerical programming and wave simulation courses. He has supervised multiple student theses on topics like seismic simulation optimization and uncertainty quantification. His research contributes to understanding induced earthquakes and improving computational efficiency in geophysical simulations.

Satyvir Singhمشاهده پروفایل

پژوهشگر ارشد

• High-Order Discontinuous Galerkin Method
• Computational Fluid Dynamics
• Hydrodynamic Instability
• +۲ مورد دیگر

Dr. Satyvir Singh is a Research Fellow at RWTH Aachen University (since 2022). He holds a Ph.D. in Mechanical and Aerospace Engineering from Gyeongsang National University, South Korea, and prior academic roles include Postdoctoral Fellowships at Nanyang Technological University (Singapore) and teaching positions in India. His research focuses on high-order numerical methods for fluid dynamics, particularly discontinuous Galerkin methods applied to hydrodynamic instabilities, computational fluid dynamics, and gas kinetic theory. Education: Ph.D., Mechanical and Aerospace Engineering, Gyeongsang National University, South Korea (2013-2016) M.Tech., Industrial Mathematics and Scientific Computing, IIT Madras, India (2009-2011) M.Sc., Mathematics, Chaudhary Charan Singh University, India Research Interests: High-Order Discontinuous Galerkin Method Computational Fluid Dynamics Hydrodynamic Instability (Richtmyer-Meshkov, Rayleigh-Taylor) Multispecies Flows and Gas Kinetic Theory Scientific Contributions include over 30 peer-reviewed articles in journals like Journal of Computational Physics , Physics of Fluids , and SCIENCE CHINA Physics , focusing on shock-driven instabilities, numerical methods for rarefied gases, and reaction-diffusion systems. Awards and Fellowships: Brain Korea 21+ Scholarship, South Korea (Ph.D.) GATE HMRD Scholarship, India (M.Tech.) Qualified JRF/NET (Mathematical Sciences), AIR 38 (2011) Labs and Affiliations: Part of the The Lab at RWTH Aachen University, contributing to interdisciplinary fluid dynamics research.

Oleg Ilievمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +۵ مورد دیگر

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Axel Klarمشاهده پروفایل

استاد

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +۶ مورد دیگر

Prof. Axel Klar is a Professor in the Department of Technomathematics at the Rheinland-Palatinate University of Applied Sciences (RPTU) Kaiserslautern-Landau. His research focuses on mathematical modeling of complex systems, with a strong emphasis on kinetic theory, fluid dynamics, and applied analysis. Key areas of expertise include traffic flow dynamics, fiber dynamics in industrial processes, pedestrian movement patterns, and biological systems such as cell motion and tumor growth. He develops and analyzes numerical methods for partial differential equations and stochastic systems, often addressing challenges in technical textile production, non-equilibrium thermodynamics, and multi-physics simulations. His work bridges microscopic particle-based models with macroscopic continuum descriptions, emphasizing asymptotic methods and domain decomposition techniques. Notable contributions include stochastic fiber lay-down models for nonwoven manufacturing, mesh-free particle methods for granular and rarefied gas flows, and kinetic-based traffic models with applications to autonomous vehicles and crowd control. Current research explores data-driven approaches for coupled systems in socio-economic and biomedical contexts. Prof. Klar’s interdisciplinary projects involve collaborations with industry partners (e.g., in textile engineering) and academic institutions globally. His team develops open-source numerical toolkits for applications ranging from radiation therapy optimization to climate-resilient infrastructure design. Recent efforts focus on AI-driven parameter estimation for high-dimensional PDE systems and uncertainty quantification in multi-scale modeling.

Antonia Lareseمشاهده پروفایل

دانشیار

• Computational Mechanics
• Computational Fluid Dynamics (CFD)
• Fluid Structure Interaction (FSI)
• +۳ مورد دیگر

Antonia Larese is an Associate Professor in Hydraulic and Maritime Constructions and Hydrology at the University of Padova, Italy, and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). She holds a PhD in Structural Analysis from the Technical University of Catalonia (UPC) and has extensive postdoctoral experience, including fellowships at the Spanish Ministry and the Catalonian Government. Her research focuses on Computational Mechanics, Fluid-Structure Interaction, and advanced numerical methods like the Material Point Method (MPM) and Finite Element Method (FEM). She is a core developer of the open-source KRATOS Multiphysics platform. Affiliations: University of Padova (Department of Mathematics), TUM-IAS, and the International Center for Numerical Methods in Engineering (CIMNE). Education: M.Sc. in Civil Engineering (University of Padova, 2006), M.Sc. in Numerical Methods (UPC, 2011), PhD in Structural Analysis (UPC, 2012). Research Interests: Computational Fluid Dynamics (CFD), fluid-structure interaction, unfitted numerical techniques, free surface flows, and non-Newtonian materials. Her work emphasizes innovative methods for simulating complex engineering systems, including porous media and protective structures against natural hazards. Her recent publications (2021–2024) address topics like sediment transport optimization, wind engineering applications, and coupled material point-discrete element methods. These studies highlight advancements in numerical modeling for environmental and geotechnical challenges. Awards: - Rita Levi Montalcini Fellowship (2018–2021) - Juan de la Cierva Fellowship (2017–2018) - Special Doctoral Award (UPC, 2014) - Best PhD Thesis finalist (SEMNI, 2012) Advising & Grants: She leads projects like the Digital Twins of Civil Structures (REACT) and collaborates on initiatives such as the Material Point Method (MPM) development. Her work bridges academic research with industrial applications in civil and environmental engineering. Labs/Teams: Active contributor to CIMNE’s research groups and the KRATOS Multiphysics open-source community, advancing computational tools for multiphysics problems.

Carina Schwarzمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Finite Element Methods
• Least-Squares Finite Element Method
• +۷ مورد دیگر

Carina Schwarz is a researcher at the Institute of Mechanics, Faculty of Engineering, University of Duisburg-Essen, where she has been a research assistant since 2012 and completed her doctorate in 2018. Her work focuses on the development and application of least-squares finite element methods (LSFEM) to problems in fluid and solid mechanics, including sea ice modeling, fluid-structure interaction, and incompressible fluid dynamics. She teaches multiple courses in engineering mechanics and finite element methods at both bachelor’s and master’s levels. PhD in Engineering, University of Duisburg-Essen, 2018 B.Sc. in Civil Engineering, University of Duisburg-Essen, 2010 M.Sc. in Computational Mechanics, University of Duisburg-Essen, 2012 Research stay at École des Mines, Paris, 2012 Her research interests center on computational mechanics , particularly least-squares finite element methods , sea ice modeling , and incompressible fluid dynamics . She investigates higher-order time integration schemes and mixed finite element formulations for linear elastodynamics and fluid-structure interaction problems. Her work bridges theoretical mechanics with practical numerical simulation tools. The trend in her recent publications shows a growing emphasis on environmental applications, especially sea ice dynamics in polar regions, using advanced computational fluid dynamics and numerical methods. Her earlier work focused more on fundamental formulations of LSFEM for Navier-Stokes equations and elastodynamics, evolving toward coupled environmental systems. She has supervised multiple student theses in computational mechanics, mentoring students in finite element implementation and numerical modeling. Although no specific grants or awards are mentioned, her consistent publication output in reputable journals and conferences reflects sustained research activity. Carina Schwarz leads and contributes to collaborative research projects involving interdisciplinary modeling of complex mechanical and environmental systems. Her work is integrated within the Institute of Mechanics, where she participates in academic teaching and research seminars such as the Seminar for Numerical Mathematics and Mechanics (SNMM).

Paul Steinmannمشاهده پروفایل

استاد

• Engineering Mechanics
• Solid Mechanics
• Materials Modeling
• +۷ مورد دیگر

Prof. Dr. Paul Steinmann is a full Professor and Chair of Engineering Mechanics (LTM) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Faculty of Engineering. Since December 2020, he serves as Special Representative for Strategic Development at FAU, supporting academic positioning and research excellence. He is also Director of the Glasgow Computational Engineering Centre (GCEC), UK, reflecting his international leadership. Research Interests: His work focuses on advanced computational and theoretical mechanics, including materials modeling, multiscale and multiphysics problems, fracture mechanics, biomechanics, and finite element methods. He develops robust mathematical and numerical frameworks for complex material behavior under extreme conditions. Publication Trends: His recent research emphasizes cross-scale fracture modeling, phase-field methods, thermomechanical coupling, chemo-mechanical degradation, and configurational mechanics. These reflect a strong trend toward unified, thermodynamically consistent frameworks applicable across engineering and biological systems. Scientific Awards: Fellow Award from IACM (2006) Fellow Award from EUROMECH (2006) Timoshenko Visiting Scholar Award, Stanford University (2007) ERC Advanced Grant (2011) Royal Society Wolfson Research Merit Award (2017) Advising and Grants: As spokesperson for the DFG Research Training Group FRASCAL and former leader of multiple DFG projects, he has supervised numerous PhD students and postdocs. He has secured major grants including the ERC Advanced Grant and led collaborative research across Germany and internationally. He has served on DFG and DAAD committees, contributing to national research policy and funding decisions. Labs and Teams: He leads the Chair of Engineering Mechanics at FAU and is deeply involved in the DFG Research Training Group FRASCAL, fostering interdisciplinary research across mechanics, materials science, mathematics, chemistry, and physics. His international role as Director of GCEC strengthens computational engineering collaborations between FAU and UK institutions.

Sebastian Schöpsمشاهده پروفایل

دانشیار

• Computational Electromagnetics
• Coupled Multiphysical Simulations
• High-Performance Computing
• +۷ مورد دیگر

Prof. Sebastian Schöps is an Associate Professor in the Department of Electrical Engineering and Information Technology at Technische Universität Darmstadt. He leads the Computational Engineering Group, focusing on coupled multiphysical simulations and high-performance computing. His work bridges computational electromagnetics with advanced numerical methods like isogeometric analysis and reduced-order modeling. Education: Joint PhD in Physics (KU Leuven, Belgium) and Mathematics (University of Wuppertal) MSc and BSc in Business Mathematics (University of Wuppertal) Research Interests: Coupled systems involving electromagnetism, thermodynamics, and structural mechanics High-performance parallel algorithms for industrial-scale simulations Uncertainty quantification in engineered systems Optimization of electric machines using isogeometric analysis His work frequently involves developing novel finite element formulations and collaborating with CERN on accelerator magnet simulations. Publications Trends: Recent work emphasizes machine learning integration with physics-based models, optimization under uncertainty, and scalable simulation techniques for superconducting devices. Key applications include electric machine design, particle accelerator magnets, and medical device modeling. Labs & Projects: Leads the PASIROM project (Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters), and contributes to CERN's quench protection system research. Active in open-source tool development for multiphysics simulation.

Iryna Rybakمشاهده پروفایل

مدرس ارشد

• Multiscale Methods
• Mathematical Modelling
• Numerical Algorithms
• +۳ مورد دیگر

Iryna Rybak is a Senior Lecturer and Principal Investigator at the University of Stuttgart's Institute of Applied Analysis and Numerical Simulation. Her research focuses on mathematical modeling, numerical methods, and multiscale analysis for coupled free-flow and porous medium systems. She coordinates the German side of the ANR-DFG project FLUPOR and leads Project A03 in the Collaborative Research Centre (SFB) 1313 on interface-driven multi-field processes in porous media. Academic Roles: Research Assistant, Principal Investigator Institution: University of Stuttgart Key Projects: FLUPOR (ANR-DFG), SFB 1313 (DFG) Research Interests: Multiscale methods, averaging theories, Stokes-Darcy coupling, numerical algorithms for multiphysics problems, and model validation using neural networks. Her work addresses interface conditions, porous media flow, and sediment transport in three-phase systems. Publications emphasize fluid-porous interface modeling, preconditioning techniques, and sensitivity analysis. She has advised over 15 PhD/Master students on topics like preconditioners for coupled systems and surrogate-assisted validation frameworks. Teaching includes advanced numerical methods, mathematical programming, and partial differential equations at both undergraduate and graduate levels. Grant Roles: Principal Investigator in FLUPOR and SFB 1313; coordinator of DFG-funded projects on interface modeling (2012–2025).

Matthias Nienhausمشاهده پروفایل

استاد

• Electric Drives
• Active Magnetic Bearings
• Sensorless Control
• +۷ مورد دیگر

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.