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Dr. Michael Kleeberger is a Researcher at the Chair of Materials Handling, Material Flow, Logistics (FML) at the Technical University of Munich, based at Boltzmannstr. 15 in Garching. He collaborates closely with Prof. Johannes Fottner and maintains an active research profile in crane dynamics and mechanical systems simulation. His research specializes in Materials Handling and Logistics with emphasis on Crane Dynamics, Flexible Multibody Systems, and Control Systems. He develops advanced models for hydraulic actuated cranes, focusing on dynamic behavior during hoisting, slewing, and trajectory operations using port-Hamiltonian formulations and geometrically exact beam theory. His work bridges theoretical mechanics with industrial applications in heavy machinery. Analysis of his 15 most recent publications reveals consistent focus on numerical methods for flexible crane structures, with growing emphasis on optimal control strategies (2020-2025). Key trends include port-Hamiltonian system applications, lunar crane feasibility studies, and vibration mitigation techniques for lattice boom and knuckle boom configurations across diverse operational scenarios. As part of FML, Dr. Kleeberger contributes to TUM's leadership in logistics engineering through industry-collaborative projects and fundamental research in material flow systems, maintaining the chair's reputation for excellence in mechanical dynamics and practical engineering solutions.

• Materials Handling
• Logistics
• Crane Dynamics
• +3 more

Renate Sachse is a Researcher and Responsible Investigator at the Chair of Structural Analysis, Technical University of Munich (TUM), under Prof. Kai-Uwe Bletzinger. She holds a Dr.-Ing. from the University of Stuttgart and has held postdoctoral positions at Harvard University (Bertoldi Lab) and TU Munich's Institute for Computational Mechanics. Her research focuses on biomimetic adaptive structures, biomechanics, and smart materials. Education M.Sc. in Civil Engineering (University of Stuttgart, 2014) – Thesis: "Isogeometric Contact Analysis of Thin-Walled Structures" B.Sc. in Civil Engineering (University of Stuttgart, 2011) – Thesis: "Elementary School Pavilion Structural Analysis" Study Abroad: École Spéciale des Travaux Publics (ESTP, France, 2012) Research Interests Her work integrates principles from biology and mechanics to design adaptive structures, including motion design, soft robotics, and active metamaterials. Notable projects include studying snapping mechanisms in plants (e.g., Venus flytrap) and developing bio-inspired systems like Flectofold shading devices. She also explores isogeometric analysis and structural optimization for thin-walled and slender structures. Grants & Awards Bertha Benz Prize 2022 (Daimler and Benz Foundation) Klaus Tschira Boost Fund Fellowship (€80,000 interdisciplinary grant) 3rd Place AVK-Prize for Innovations (2017, Flectofold Shading System) GAMM Juniors Fellowship (2020–2022) Teaching & Grants She teaches advanced finite element methods and nonlinear mechanics at TUM and has supervised projects in computational mechanics. Her grants include CareerDesign@TUM funding and the Klaus Tschira Fellowship for high-risk, interdisciplinary research. Labs & Teams Associated with the Chair of Structural Analysis at TUM, collaborating on projects like livMatS (Living Materials Systems) and the Harvard SEAS Bertoldi Lab. Involved in software development (e.g., Carat++, Kiwi!3d) and third-party initiatives (CoDA, FlexWing).

• Motion Design
• Active and Adaptive Structures
• Biomechanics
• +6 more

David Schlipf is a Professor at the Fachbereich Energy and Life Science, Hochschule Flensburg, leading the Wind Energy Technology Institute. His expertise spans lidar-assisted control systems, floating offshore wind turbines, and aeroelastic modeling. He actively collaborates with international initiatives like IEA Wind Task 32 and contributes to projects such as the 'Lidar Knowledge Europe (LIKE)' network. His research focuses on enhancing wind turbine efficiency through advanced control strategies and sensor technology integration. He has been instrumental in developing the TorqTwin open-source framework for multibody modeling and has published extensively on topics including wind field reconstruction, load mitigation, and floating platform dynamics. His work bridges academic research with industrial applications, emphasizing practical solutions for offshore wind energy challenges. Notable projects include the evaluation of lidar-assisted control performance, optimization of floating turbine designs, and contributions to wind energy education's role in climate resilience. His research outputs span over 200 publications, highlighting his global impact in advancing renewable energy systems.

• Wind Energy Technology
• Lidar-Assisted Control
• Floating Offshore Wind Turbines
• +3 more

Jan Camphausen is a Professor of Technical Mechanics and Drive Technology at the Georg Agricola University of Applied Sciences (THGA) since 2013. Previously, he worked as a Calculation Engineer at Vestas Nacelles Deutschland GmbH (2009-2012) and as a Research Associate at Ruhr University Bochum (2003-2009), where he completed his doctoral studies on fatigue strength analysis of volumetric components. Education: Mechanical Engineering studies (1997-2003) and doctoral research (2003-2009) at Ruhr University Bochum. His research focuses on Mechanical Engineering and Materials Science , with expertise in technical drawing dynamics, transmission and drive technology, and strength of materials. His work emphasizes industrial applications such as wind turbine drivetrains and multiphase screw pumps, where he investigates fatigue analysis, vibration mitigation, and component optimization. Recent publications highlight his contributions to multibody simulations , corrosion phenomena in mechanical systems , and parametric design for reliability , particularly in offshore and industrial contexts. He is a member of the VDI (Verein Deutscher Ingenieure) and maintains active collaborations in mechanical engineering research.

• Mechanical Engineering
• Materials Science
• Technical Mechanics
• +3 more

Prof. Dr. Igor Lesanovsky is a leading researcher in quantum physics at the University of Tübingen, where he heads the Arbeitsgruppe (Research Group) Lesanovsky within the Institute of Theoretical Physics, part of the Faculty of Mathematics and Natural Sciences. His research focuses on quantum many-body systems, particularly utilizing Rydberg atoms for quantum simulation, quantum information processing, and exploring non-equilibrium phenomena. His research interests span quantum many-body physics, Rydberg atom systems, quantum simulation techniques, non-equilibrium quantum dynamics, quantum thermodynamics, and quantum soft-matter physics. His group investigates how highly excited Rydberg atoms can be used to simulate complex quantum processes, study phase transitions, and develop applications for quantum information processing. They're particularly interested in emergent phenomena such as time-crystals, quantum glassiness, and non-ergodic behavior in quantum systems. The publication record shows a consistent stream of high-impact research, primarily in Physical Review Letters, Physical Review A, and other top physics journals. The research trends indicate a strong focus on quantum simulation with Rydberg systems, quantum non-equilibrium dynamics, quantum information applications, and increasingly on the intersection of quantum physics with machine learning. Recent work explores quantum neural networks, quantum measurement theory, and the application of large-deviation methods to quantum trajectory ensembles. Prof. Lesanovsky's research is supported by multiple prestigious projects including the BMBF Quantum Technology project 'Neural quantum networks on NISQ quantum computers', the DFG Excellence Cluster 'Machine Learning: New Perspectives for Science', DFG Research Units on long-range interacting quantum spin systems and quantum thermalization, the EU EIC Pathfinder Project 'Brisk Rydberg Ions for Scalable Quantum Processors', the QuantERA Project CoQuaDis, and The Center for Integrated Quantum Science and Technology (IQST). The group maintains strong connections with experimental teams, particularly in the areas of quantum simulation of interacting many-body systems and the development of matter wave interferometers and collectively enhanced electric field sensors. They collaborate extensively across Germany and internationally, with publications showing co-authorship with researchers from multiple institutions worldwide.

• Quantum Many-Body Systems
• Rydberg Atoms
• Quantum Simulation
• +7 more

Karin Nachbagauer is a Professor of Applied Mathematics at the University of Applied Sciences Upper Austria, affiliated with the Faculty for Engineering's Mechanical Engineering Department. She holds a Hans Fischer Fellowship at the TUM Institute for Advanced Study (since 2020). Her research focuses on multibody system dynamics, numerical mathematics, optimal control, and inverse dynamics, with applications in mechanical engineering and robotics. She earned her PhD in Engineering Sciences (2012) and Diploma in Industrial Mathematics (2009) from Johannes Kepler University Linz. Notable awards include the 2020 Best Paper Award for optimal control research and 2019 Excellence in Teaching Award. Her work emphasizes adjoint gradient methods for optimization problems, parameter identification in multibody systems, and time-optimal control applications. Current projects include the VRoboCoop initiative for human-robot collaboration and IOMMS for innovative optimization in multibody systems. Publications span journals like Journal of Computational and Nonlinear Dynamics and Multibody System Dynamics , with over 80 peer-reviewed articles. She actively participates in international conferences and serves on editorial boards.

• Multibody System Dynamics
• Numerical Mathematics
• Inverse Dynamics
• +3 more

Prof. Dr. Katja Rösler is a Professor of Automotive Engineering at the Institute of Mechanical Engineering, Ruhr West University of Applied Sciences since March 2012. Her career spans academic research and industrial development with key positions at TU Braunschweig, Volkswagen AG, and Fraunhofer Institute. Education: Industrial Mathematics degree completed under standard period Doctorate: Engineering (Driver Modeling) from TU Braunschweig, 2008 Her research focuses on automotive engineering with special emphasis on modeling/simulation, vehicle dynamics, driver assistance systems, accident research, alternative drives, and mobility concepts. She actively combines simulation with experimental verification and has significant involvement in Formula Student projects. Recent publications highlight her work in intelligent mobility systems (2018-2020), with particular attention to electromobility, accessibility solutions for elderly/disabled populations, and micromobility analysis. Earlier works established her expertise in driver modeling, vehicle measurement technology, and simulation-experiment correlation. Labs: Automotive Engineering Lab Teaching: Mechanics (Statics, Strength of Materials, Dynamics), Vehicle Dynamics, Driver Assistance Systems

• Automotive Engineering
• Modeling and Simulation
• Driver Modeling
• +12 more

Prof. Diana Estévez Black is a Professor at Berlin University of Technology, affiliated with Department II (Mathematics, Physics, Chemistry). She specializes in Numerical Analysis and Differential-Algebraic Equations (DAEs), focusing on numerical methods, matrix factorization, and computational techniques for solving complex mathematical models. Teaching: She teaches courses in Applied Mathematics, Biotechnology Mathematics, Computational Engineering, and Mechanical Engineering programs, including Numerical Mathematics, Linear Algebra, and Numerics for graduate-level engineering disciplines. Research: Her work emphasizes DAE analysis, singular value decomposition, and eigenvalue problems. She has developed software like InitDAE for consistent initialization of DAEs and published extensively on topics such as robotic arm dynamics, multirate PDAEs, and tax policy modeling. Her research bridges theoretical mathematics with practical applications in engineering and economics. Labs/Tools: She contributes to software development (e.g., Python-based InitDAE ) and maintains visualization resources for numerics education, including Hinton diagrams for matrix factorization and animations for discrete mathematics concepts.

• Numerical Analysis
• Differential-Algebraic Equations (DAEs)
• Linear Algebra
• +3 more

Prof. Walter Sextro is the Head of the Chair of Dynamics and Mechatronics at Paderborn University's Faculty of Mechanical Engineering. He holds a professorship in mechanical engineering with expertise in dynamics, mechatronics, and control systems. His academic journey includes a doctorate and habilitation in mechanics from Leibniz University Hannover, followed by roles at Graz University of Technology before joining Paderborn in 2009. Education: Mechanical Engineering studies at Leibniz University Hannover and Imperial College London (UK) Doctorate (1997) and Habilitation (Mechanics) at Leibniz University Hannover Research focuses on: Multibody system dynamics and data-driven modeling Predictive diagnostics for electromechanical systems Sustainable mobility solutions and rail transport optimization Integration of AI in mechanical systems Key projects include 'Digitaler Bahnhof Minden,' 'Automated Rail Transport for Rural Mobility,' and 'Hybrid Modeling for Multibody Systems.' His work emphasizes interdisciplinary applications in mechatronics and industrial automation. He leads a research group at the Dynamics and Mechatronics department and collaborates with industry partners on applied engineering challenges.

• Mechanical Engineering
• Mechatronics
• Dynamics and Vibration Analysis
• +5 more

Mathias Niebergall is a Professor at Ulm University of Applied Sciences, specializing in Hydraulic Drive Systems and Control Technology. He leads the Competence Center Hydraulics and the Steinbeis Transfer Center Hydraulic Systems. Research Focus: Hydraulic drive and control technology, mobile hydraulics, rigid body dynamics, and multibody systems. Teaching: Oil hydraulics, simulation of hydraulic systems, technical mechanics, and rigid body dynamics at the Master's level. Industry Experience: 1996-2004 at Robert Bosch GmbH in valve development for transmissions, and 2004-2014 at Bosch Rexroth AG in mobile hydraulics development. Publications: Contributions include hydraulic artificial muscles, fluid power control units, and inertia parameter identification methods.

• Hydraulic Drive Systems
• Control Technology
• Fluid Power Engineering
• +3 more

Sebastian Peitz is Professor (previously Assistant Professor) at Paderborn University's Department of Computer Science, leading the Data Science for Engineering group. He obtained his PhD in Multiobjective Optimization from Paderborn University and MSc in Mechanical Engineering from RWTH Aachen. His research develops computational methods for multiobjective optimization, optimal control, and machine learning with applications in fluid dynamics, autonomous systems, and industrial processes. He leads the BMBF-funded Multicriteria Machine Learning group. Research trends show consistent focus on Koopman operator theory, reinforcement learning applications in control systems, and physics-informed machine learning across publications. Achievements include the 2019 PRECEDE Best Paper Award and leadership in international optimization conferences.

• Multiobjective Optimization
• Optimal Control
• Machine Learning
• +3 more

Patrick Kürschner is an Associate Professor for Numerical Mathematics and Linear Algebra at Leipzig University of Applied Sciences (HTWK Leipzig) . He previously held postdoctoral positions at the Max Planck Institute for Dynamics of Complex Technical Systems and KU Leuven's Kulak Kortrijk Campus. His work focuses on computational methods in systems and control theory. PhD in Mathematics (Otto-von-Guericke University, 2015) MSc in Mathematics (Chemnitz University of Technology, 2010) BSc in Financial Mathematics (Chemnitz University of Technology, 2008) His research interests span numerical linear algebra, matrix equations and functions, eigenvalue problems, preconditioning, model order reduction, tensor methods, and numerical algorithms for digital signal processing. He develops efficient computational techniques for large-scale systems in control theory and data science applications. Recent publications include advancements in low-rank ADI iteration, time-limited balanced truncation, inexact linear solvers, and tensor decompositions for polynomial systems. His work addresses challenges in computational neuroscience, mechanical simulations, and optimal control.

• Numerical Linear Algebra
• Model Order Reduction
• Eigenvalue Problems
• +8 more

Prof. Dr.-Ing. Thomas Geike is a professor of engineering mechanics at the Berlin University of Applied Sciences. He teaches foundational courses in statics, strength of materials, dynamics, hydraulics, and pneumatics, with a specialized focus on "Kinematics, Kinetics, and Gear Technology" in the Humanoid Robotics program. His academic career spans research conducted since his studies at the University of Waterloo, resulting in over a dozen publications in peer-reviewed journals such as Physical Review E , Vehicle System Dynamics , and Mechanism and Machine Theory . Research interests include Maintenance Tribology (contact mechanics, rubber modeling) Dynamics of multibody systems Cavitation dynamics in lubricated contacts His work bridges theoretical mechanics with applied robotics and machine design, with contributions to rail vehicle dynamics and prototyping. Prof. Geike serves as academic advisor for the Bachelor’s program in Computational Engineering and Design (launched 2019). Notable collaborations include interdisciplinary projects under funding frameworks like DFG, BMBF, and BMWi. Current research focuses on maintenance optimization and cavitation dynamics in industrial systems.

• Maintenance
• Tribology
• Dynamics of Multibody Systems
• +7 more

Dr. Abdurrahman Irscheid is a Researcher at the Chair of Systems Theory and Control Engineering under Prof. Rudolph at Saarland University. He holds a Doctorate (Dr.-Ing.) from the university and has been a research assistant since 2018, with prior student assistant roles dating to 2013. His research focuses on control and observer design for hyperbolic/parabolic PDEs, finite-time convergence methods, and cooperative load transportation with heavy ropes. He has supervised over a dozen theses and projects, including experimental validations of control systems. Educational Background: B.Sc. Mechatronics, Saarland University (2012-2015) M.Sc. Computational Engineering of Technical Systems (COMET), Saarland University (2015-2017, with distinction) Doctorate (Dr.-Ing.), Saarland University (2025) Research Interests: Boundary control of distributed-parameter systems Observer and backstepping design for hyperbolic PDEs Prescribed-time stabilization of nonlinear systems Flatness-based control for complex mechanical systems Applications in load transportation and dielectric elastomer actuators Awards: Best Paper Award (at-Automatisierungstechnik 2023) VDI-Preis 2019 (outstanding Master's thesis) VDE-Saar Preis (top electrical engineering graduation) Stiftungspreis 2018 (top Master's thesis) Teaching & Supervision: Lead exercises in Systems Theory and Control Engineering courses since 2018 Supervised 11+ theses/projects (e.g., observer-based controllers for heavy rope systems, prescribed-time stabilization) Co-advised projects on rotational pendulums and mobile platforms Labs/Teams: Active in the LSR research group focusing on distributed-parameter systems and nonlinear control applications.

• Control Theory
• Partial Differential Equations (PDEs)
• Nonlinear Control Systems
• +7 more

Dr.-Ing. Frédéric Etienne Kracht serves as a Research Group Leader & Lecturer (Postdoctoral Researcher) at the Chair of Mechatronics at the University of Duisburg-Essen, Faculty of Engineering and Computer Science. He is also the Head of Department at the DST Development Center for Ship Technology and Transport Systems eV since August 2024. His work bridges academic research and practical applications in vehicle dynamics, real-time simulation, and inland vessel automation. Dr. Kracht completed his Master's degree in Mechanical Engineering with distinction at the University of Duisburg-Essen, where he was recognized as the Valedictorian of the 2013/2014 class. He was admitted to the prestigious German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) in 2011. He earned his doctorate with outstanding success in Engineering Sciences from the same university, with his dissertation titled "Modeling and Simulation of the Dynamics and Elastokinematics of Wheel Suspensions for Real-Time Applications." His doctoral work was recognized with the Innovation Award 2020 of the Sparkasse am Niederrhein and honored as an outstanding doctorate at the University of Duisburg-Essen during the Dies Academicus 2021. Dr. Kracht's research focuses on the development of vehicle suspension models with elastic behavior for real-time applications, particularly in driving simulators. His work extends to the automation of inland waterway vessels, where he leads multiple research projects including VeLABi (Test and Control Center for Autonomous Inland Vessels), AutoBin (Autonomous Inland Vessel), FernBin (Remote-controlled Driving in Inland Waterway Transport), and HaFoLa (Test Center for Innovative Port and Handling Technologies). His interdisciplinary approach combines mechanical engineering, mechatronics, and computer science to address challenges in mobility systems. His recent publications demonstrate a strong trend toward applying simulation and modeling techniques to both terrestrial and aquatic transportation systems, with particular emphasis on automation, sustainability, and multimodal integration. The research spans from fundamental vehicle dynamics to practical applications in port logistics and inland navigation. Dr. Kracht has received numerous scientific awards including: Alumni Award Winners of Duisburg Engineering 2013/2014: Best Graduate in the Master's Program in Mechanical Engineering 2011 Admission to the German Academic Scholarship Foundation Best Paper Award of LSMS2017 & ICSEE2017 Doctorate in Engineering Sciences with outstanding success – "Our best" – Honor from University of Duisburg-Essen (Dies academicus 2021) Innovation Award 2020 of the Sparkasse am Niederrhein Helmut and Gerlinde Schwarz Prize 2022 As an academic advisor, Dr. Kracht serves as Faculty Advisor for the Formula Student Team of the University of Duisburg-Essen (E-Team) and as an academic advisor in the Mechatronics major. He is a member of the Examination Board for the Master's program in Automotive Engineering & Management. His research is supported by multiple projects including VeLABi, AutoBin, FernBin, and HaFoLa, which involve collaborations with industry partners and other academic institutions. Dr. Kracht is actively involved in the DST Development Center for Ship Technology and Transport Systems eV as Head of Department, where he oversees research on autonomous inland vessels. At the University of Duisburg-Essen, he manages the Chair's publications and library, and contributes to the development of the "Automotive Engineering & Management Executive" Master's program. His work in developing driving simulators represents a key infrastructure for both research and education at the Chair of Mechatronics.

• Vehicle Dynamics
• Real-time Simulation
• Elastokinematics
• +5 more