Material Flow Simulation Professors and Supervisors in Germany

Ralph Ernstorferمشاهده پروفایل

استاد

Fritz Haber Institute of the Max Planck SocietyGermany

Prof. Dr. Ralph Ernstorfer is a leading physicist holding dual appointments at the Technical University Berlin (Professor, Institute for Optics and Atomic Physics) and the Fritz Haber Institute of the Max Planck Society (Group Leader, Department of Physical Chemistry). His career includes tenure as a Max Planck Research Group leader (2010–2017) and W2 scientist (2017–2021) at FHI. He specializes in ultrafast dynamics of quantum materials, with affiliations spanning TU Berlin, Max Planck Institutes, and international collaborations. His research explores electron-phonon interactions, topological materials, and surface dynamics using advanced spectroscopic methods. Key themes include: Ultrafast electron and lattice dynamics in 2D systems (e.g., bismuthene, black phosphorus) Singlet fission mechanisms in organic semiconductors Non-equilibrium phenomena in ferromagnets and ferroelectrics Development of time-resolved photoemission techniques Recent publications (2019–2025) demonstrate prolific output in high-impact journals, focusing on momentum-resolved spectroscopy, phonon scattering, and computational materials science. His lab pioneers methodologies for studying energy flow in solids at femtosecond timescales. Prof. Ernstorfer advises researchers at the Fritz Haber Institute and TU Berlin, though specific student names are not listed. His group maintains active instrumentation development for ultrafast experiments, including momentum microscopes and spectral analysis tools.

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Klaus Mengesdorfمشاهده پروفایل

مدرس

Westphalian University of Applied SciencesGermany

Klaus Mengesdorf M.Sc. serves as a Lecturer at the Westphalian University of Applied Sciences within the Faculty of Engineering and Natural Sciences (Fachbereich Ingenieur- und Naturwissenschaften). He operates under the supervision of Prof. Dr. Guido Mihatsch and maintains an active teaching role with office hours by appointment at campus location B7.2.324, August-Schmidt-Ring 10, 45665 Recklinghausen. His research focuses on Renewable Energy systems and specialized Automotive Engineering , particularly commercial vehicle technology. He develops and supervises thesis projects covering ideation, development, and examination phases. His work bridges theoretical energy systems with practical automotive applications. Mengesdorf teaches advanced courses including Advanced Energy Systems (M.Eng., M.Sc.), Simulation and Forecasting Methods (M.Eng., M.Sc.), Data Analysis (B.Sc.), and foundational courses like Renewable Energy (B.Eng., B.Sc.) and Material Flow Technology (B.Sc.). For Winter Semester 2025/26, he substitutes for Prof. Dr. Mihatsch in Commercial Vehicles (M.Eng.). His operational scope includes thesis supervision across ideation, development, and examination phases. Contact occurs via email due to flexibly scheduled office hours, with telephone support available at +49 2361/915-537 and fax at +49 2361/915-571.

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Reinhard Schinkeمشاهده پروفایل

پژوهشگر

Leibniz Institute of Ecological Urban and Regional DevelopmentGermany

Reinhard Schinke is a Research Associate and Project Manager in the Research Area 'Built Environment - Resources and Environmental Risks' at the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden, Germany, a position he has held since 2011. He holds a Doctorate from Brandenburg University of Technology Cottbus and a Diplom-Ingenieur in Civil Engineering from TU Dresden, specializing in structural engineering. His research focuses on flood and groundwater risk analysis, climate change adaptation strategies, vulnerability assessment of built environments, and development of damage simulation models. Key areas include: Flood resilience technologies for buildings and infrastructure GIS-based flood damage estimation for urban and agricultural systems Monetary valuation of flood prevention measures Groundwater inundation impacts and mitigation Schinke has contributed significantly to interdisciplinary projects like INCREASE (social resilience in climate change) and KlimaKonform (municipal climate adaptation). His publication trends show consistent focus on refining flood damage models, developing geospatial risk assessment tools, and evaluating structural adaptation measures across European case studies. Awards: DAAD Research Fellowship (2011) at University of Western Ontario, Faculty of Engineering He actively participates in expert networks including the BWK (German Association for Water, Waste Management and Cultural Building) working group on high groundwater levels, contributing to technical guidelines and flood risk management frameworks.

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Miriam Primbsمشاهده پروفایل

استاد

Hochschule Ruhr WestGermany

Professor Miriam Primbs is a faculty member at Hochschule Ruhr West (HRW) in the Institute of Natural Sciences, where she teaches Mathematics and Simulation. She has been a professor at HRW since 2011 and coordinates the HRW research focus MARTA since 2022. Professor Primbs studied Mathematics and Physics (Diplom and 1. Staatsexamen) and earned her PhD in Mathematics at the University of Duisburg-Essen. Her career includes a research stay at IMATI CNR in Italy, teaching on the school ship Thor Heyerdahl, and working in Research and Development at Siemens Energy Mülheim before joining HRW. This blend of academic and industry experience informs her teaching and research approach. Her research focuses on applying mathematical and numerical methods to technical problems across engineering disciplines, from mechanics to electrical engineering. As coordinator of the MARTA research focus, she leads various projects including those funded by BMBF and collaborations with industry partners like Siemens Energy. Her scholarly work spans wavelet analysis, numerical methods, signal processing, and power systems analysis. Professor Primbs teaches Engineering Mathematics I and II, Mathematics for E-Commerce, MATLAB, Scientific Simulation, and LaTeX Basics. She employs a flipped classroom approach for foundational courses, providing students with tailored materials and prompt feedback through weekly exercises. In higher semesters, she emphasizes project-based learning and specialized topics. Currently supervising doctoral student Martin Wachs in cooperation with University of Duisburg-Essen Member of the Senate Committee for Research and Transfer at HRW Encourages industry collaboration for practical research applications Professor Primbs maintains strong connections between academic research and industrial applications, leveraging her Siemens Energy experience to bridge theory and practice in mathematical engineering.

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Kai Willnerمشاهده پروفایل

استاد

University of Erlangen–NurembergGermany

Prof. Dr.-Ing. habil. Kai Willner is a distinguished Professor at the Chair of Engineering Mechanics within the Department of Mechanical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research spans multiple domains of computational mechanics with significant contributions to structural dynamics, uncertainty quantification, and biomechanics. His current work focuses on innovative applications of fuzzy arithmetic in engineering systems and the mechanics of brain tissue. Principal Investigator for SFB 1540 EBM (Erforschung der Mechanik des Gehirns) Lead researcher on multiple DFG-funded projects including polymorphic uncertainty modeling Active participant in international collaborations on structural dynamics Member of the research group FOR 2271 on process-oriented tolerance management Willner's research interests center on computational mechanics with emphasis on uncertainty quantification , fuzzy-stochastic finite element methods , contact mechanics , and brain biomechanics . His work addresses fundamental challenges in modeling systems with uncertain parameters, particularly in heterogeneous materials and biological systems. His research group develops advanced computational frameworks that integrate fuzzy arithmetic with traditional finite element methods to handle epistemic and aleatoric uncertainties simultaneously, with applications ranging from microstructural analysis to brain mechanics. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of computational mechanics and neuroscience. His work on brain mechanics within the SFB 1540 EBM project represents a significant shift toward biomedical applications of traditional mechanical engineering methods. His publications consistently demonstrate expertise in vibration analysis, structural dynamics, and uncertainty quantification, with increasing focus on applying these methods to biological systems and complex material behaviors. Prof. Willner has secured substantial third-party funding from the German Research Foundation (DFG), including multiple collaborative research center (SFB/TRR) projects, research units (FOR), and individual grants. His current major projects include the SFB 1540 EBM (2023-2026) investigating brain mechanics, and continuing work on polymorphic uncertainty modeling in heterogeneous materials. Within the SFB 1540 EBM consortium, Willner leads research on model-based matching of ex vivo and in vivo test data (project X01), focusing on resolving contradictions in mechanical properties of ultraweak brain tissue materials across different testing modalities. His team develops continuum-based simulation models to unify various experimental observations into a coherent mechanical framework for brain tissue.

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Michael Mayleمشاهده پروفایل

استاد پژوهش

Nuremberg Institute of Technology Georg Simon OhmGermany

Michael Mayle is a Research Professor for Applied Computational Physics at Nuremberg University of Applied Sciences. He serves as a member of the Doctoral Center for Physical and Biomedical Engineering (CPaB) and holds a deputy position on the CPaB doctoral committee. His office is located at space KA.434, with contact details including phone +49 (0)911 5880-1309 and email michael.mayle@th-nuernberg.de. His research centers on Computational Physics with specialized focus in Sensor Technologies , Ultracold Quantum Gases , and Acoustics . He leads the Computational Physics for Sensor Technologies research group, developing advanced computational models for physical systems with direct applications in sensor design and analysis. His work bridges theoretical physics with practical engineering solutions. Analysis of his publication trajectory (2006-2025) reveals a distinct evolution from fundamental quantum research to applied sensor technology. Early work (2006-2013) established expertise in ultracold molecules and Rydberg atom physics, while recent publications (2019-2025) demonstrate a strategic pivot toward industrial applications including piezoelectric material analysis, ultrasonic flow metering, and water consumption pattern recognition. Professor Mayle actively contributes to doctoral education through the CPaB framework and teaches core courses including Simulation of Physical Systems (Continuum Mechanics) for M-AMP, Physics (Oscillations and Waves) for B-MED, and Building Physics for B-EGT/B-BI programs. His research group maintains strong industry connections through sensor technology development and applied computational modeling projects.

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