جست‌وجوی استاد و پژوهشگر

Hannes Hemmerleمشاهده پروفایل

پژوهشگر ارشد

• Groundwater Thermodynamics
• Climate Change Impacts
• Subsurface Urban Heat Islands
• +۳ مورد دیگر

Dr. Hannes Hemmerle is a post-doctoral researcher at Martin Luther University Halle-Wittenberg's Applied Geology department, focusing on subsurface thermal dynamics and climate change impacts. He holds a PhD from the same institution (2023) and previously worked as a Research Associate at Ingolstadt University of Applied Sciences (2018-2019). His research integrates numerical modeling, field measurements, and remote sensing to address critical questions about groundwater warming, subsurface urban heat islands, and anthropogenic heat emissions' environmental consequences. Education: B.Sc. in Sedimentary Geology (University of Freiburg, 2015) and M.Sc. in Applied Geology (University of Erlangen-Nürnberg, 2017) Affiliations: Member of Prof. Peter Bayer's research group, contributing to projects on urban geothermal energy and climate adaptation Research interests emphasize linking thermal subsurface processes to global environmental challenges, with a focus on sustainable energy solutions and ecosystem preservation. His work bridges geoscience and engineering to advance understanding of subsurface systems under anthropogenic pressures. Publications highlight innovative approaches to modeling groundwater temperature trends, assessing heat pollution from urban infrastructure, and leveraging subsurface heat for renewable energy. Recent work includes analyzing thermal impacts of underground car parks and predicting groundwater warming in Saxony-Anhalt. Collaborations include international projects on Mediterranean hydrology and urban climate resilience, supported by interdisciplinary partnerships across Europe.

René Petersمشاهده پروفایل

استاد

• Cooperative asymmetric catalysis
• Organometallic chemistry
• Stereoselective synthesis
• +۳ مورد دیگر

René Peters is Professor and Head of the Examination Committee for Chemistry programs at the University of Stuttgart's Institute of Organic Chemistry. His research focuses on developing innovative cooperative asymmetric catalysis methods inspired by enzymatic processes, aiming to solve long-standing synthetic challenges with high efficiency and stereocontrol. Peters' group specializes in designing bifunctional and polyfunctional catalysts that activate both nucleophiles and electrophiles simultaneously through Lewis acid/base cooperativity. This biomimetic approach enables enantioselective transformations under mild conditions, including 1,4-additions, allylations, cycloadditions, and fluorinations. Recent work explores zwitterionic catalysts, palladacycle architectures, and gold nanoparticle systems for challenging bond formations. His publications demonstrate progressive refinement of cooperative catalyst systems, with recent advances in stereoretentive allylations, enantiodivergent syntheses, and computational-experimental integration for reaction optimization. The group maintains strong emphasis on practical methodologies with potential industrial scalability. Laboratory facilities support advanced synthesis, catalyst characterization (X-ray crystallography, NMR), and computational modeling. Peters leads collaborative projects on catalytic C-C bond formation and stereoselective fluorination. As Head of Examination Committee, he oversees chemistry curriculum development and assessment. Key innovations include planar chiral palladacycles for efficient enantioselective arylations and novel gold nanocatalysts for Stille couplings. Future work expands cooperative catalysis to underrepresented transformations and develops machine learning approaches for catalyst optimization.

Benjamin Uekermannمشاهده پروفایل

استادیار

• Computational Science
• Multiphysics Simulation
• Parallel Computing
• +۳ مورد دیگر

Benjamin Uekermann is a Jun.-Prof. (Assistant Professor) at the University of Stuttgart's Institute for Parallel and Distributed Systems (IPVS), part of the Faculty of Computer Science, Electrical Engineering, and Information Technology. His work focuses on sustainable simulation software ecosystems , particularly advancing the preCICE coupling library for multi-physics and multi-scale simulations. He leads research in partitioned simulation coupling , reproducible software practices, and high-performance computing tools. His research interests include Parallel computing and distributed systems Numerical methods for coupled PDE-based simulations Scientific software sustainability and open-source frameworks Data-driven adaptive algorithms Validation and testing of simulation ecosystems Recent work emphasizes reproducibility via NixOS integration, user-friendly tools like MetaConfigurator and ASTE, and multi-X coupling across scales and physics domains. His preCICE library enables seamless integration of solvers like OpenFOAM and FEniCS for fluid-structure interaction, CFD/CSD, and thermohydraulics. Key contributions include scalable radial-basis interpolation methods, quasi-Newton acceleration schemes, and geometric multi-scale coupling frameworks. He actively develops educational materials on open-source scientific computing and advocates for sustainable research software practices.

• Control Systems
• Model Predictive Control
• Data-Driven Methods
• +۳ مورد دیگر

Shuhao Yan is a Researcher and Post Doc Researcher at the University of Stuttgart, affiliated with the Department of Mathematics/IMNG within Faculty 08. His research focuses on advanced control systems, particularly in data-driven methods for uncertain systems, stochastic model predictive control (MPC), and grid-forming control in power electronics. He leads the SimTech Project Network 4-3 (II) titled 'Data-Integrated Control Systems Design with Guarantees,' emphasizing robustness and real-world applicability. His research interests revolve around integrating data with traditional control theory to address challenges in uncertain dynamic systems. Key areas include robust MPC, stochastic optimization, and the application of machine learning in control systems. He has contributed to advancements in grid stability analysis, voltage source converter control, and adaptive control strategies under intermittent data conditions. Recent publications highlight trends in learning-based control (e.g., homothetic tube MPC), stochastic MPC with probabilistic constraints, and power grid stability analysis for renewable energy integration. His work bridges theoretical foundations with practical implementations in energy systems and automation. Shuhao Yan holds a PhD and currently conducts research within the Institute of Mathematical Methods in Engineering, Numerical Analysis and Geometric Modeling. His projects emphasize interdisciplinary collaboration between control theory, applied mathematics, and electrical engineering.

Patrick Schygullaمشاهده پروفایل

پژوهشگر ارشد

• Photovoltaics
• Semiconductor Epitaxy
• Multi-junction Solar Cells

Dr. Patrick Schygulla is a Research Fellow at Fraunhofer Institute for Solar Energy Systems ISE in III-V Epitaxy and Material Development. His work advances high-efficiency multi-junction solar cell technologies through materials development and device optimization. Research emphasizes: Silicon-based tandem solar cell architectures Metalorganic vapor phase epitaxy of III-V compounds Optical design of photovoltaic layer stacks His contributions include setting efficiency records for wafer-bonded III-V//Si triple-junction solar cells (35.9%) and quadruple-junction concentrator cells (47.6%). Recent publications focus on luminescence coupling effects, sheet resistance optimization, and novel substrate engineering approaches for III-V materials.

• Cardiac Arrhythmia
• Cardiac Optogenetics
• Cardiac Electrophysiology
• +۳ مورد دیگر

Prof. Dr. Philipp Sasse is a Professor at the Institute of Physiology I at the University of Bonn. His research focuses on understanding the mechanisms of cardiac arrhythmias and developing optogenetic tools for their study and treatment. The Sasse group pioneered optogenetic control of heart muscle in vivo and has contributed key advancements in cardiac optogenetics, including manipulating signaling cascades, fibroblast-cardiomyocyte coupling, and optogenetic defibrillation. Research interests include: Cardiac arrhythmia mechanisms and termination strategies Optogenetic tool development for in vivo applications Drug screening for pro/anti-arrhythmic effects Light-cell interactions in cardiac tissue Key achievements include demonstrating optogenetic pacing in mouse hearts (2015), optogenetic defibrillation (2016), and foundational work on Gs-signaling manipulation (2019). The lab's work bridges molecular mechanisms with translational therapeutic concepts. Collaborations include computational modeling (e.g., with Trayanova NA) and interdisciplinary approaches combining genetics, optics, and electrophysiology. Current efforts focus on red-shifted optogenetic systems and novel therapies for arrhythmia termination.

David Luitzمشاهده پروفایل

استاد

• Quantum Many-Body Systems
• Condensed Matter Physics
• Theoretical Physics
• +۳ مورد دیگر

David Luitz is a Professor of Theoretical Physics at Bonn University, specializing in quantum many-body systems. His research focuses on fundamental aspects of quantum dynamics, including many-body localization, quantum information spreading, and non-equilibrium thermodynamics. He develops advanced numerical methods and software tools such as the DanceQ library to tackle complex many-body problems. His work bridges theoretical physics with computational techniques, addressing topics like entanglement entropy, out-of-time-order correlators, and phase transitions in interacting quantum systems. Key research areas include the interplay between disorder and thermalization, quantum chaos, and the application of quantum Monte Carlo methods to study correlated electron systems. His contributions have advanced understanding of eigenstate thermalization, dissipative dynamics, and topological phenomena in condensed matter systems. Dr. Luitz’s publications highlight innovations in numerical algorithms for many-body systems and experimental predictions for quantum phase transitions. His work often explores the boundaries between localized and thermalizing regimes, with applications to both theoretical and computational physics.

• Condensed Matter Physics
• Quantum Materials
• Superconductivity
• +۴ مورد دیگر

Prof. Dante Kennes is a University Professor at RWTH Aachen University, leading the Chair of Theoretical Physics of Condensed Matter. His research focuses on quantum materials, strongly correlated systems, and cavity quantum electrodynamics. Key areas include superconductivity in twisted bilayer systems, moiré heterostructures, and non-equilibrium phenomena in low-dimensional materials. He explores theoretical frameworks such as functional renormalization group methods and topological phase transitions. Recent work emphasizes cavity-coupled systems, light-induced superconductivity, and the interplay between electronic correlations and topological properties. His publications address topics like van Hove singularity heterogeneity in graphene, nematicity in kagome metals, and experimental signatures of moiré-engineered phases. Kennes' research bridges theoretical predictions with experimental observability through advanced modeling techniques. His contributions span advanced computational methods for many-body systems and proposals for novel quantum materials characterization. Despite his prolific output, no formal student advisees or awards are explicitly listed in the provided materials.

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +۳ مورد دیگر

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

Peter Wasserscheidمشاهده پروفایل

استاد

• Hydrogen Storage
• Catalysis
• Chemical Process Engineering
• +۳ مورد دیگر

Prof. Dr. Peter Wasserscheid serves as Director and Head of the Research Department Chemical Hydrogen Storage at the Helmholtz-Institut Erlangen-Nürnberg (HI ERN), a joint institute of Friedrich Alexander University Erlangen-Nuremberg and Forschungszentrum Jülich. His leadership spans critical energy research domains including hydrogen infrastructure development and sustainable storage solutions. His primary research focuses on Liquid Organic Hydrogen Carriers (LOHC) with expertise in power density devices for material hydrogen storage, process design and intensification, active coatings and catalyst technologies, autothermal LOHC dehydration, and LOHC process engineering. This work addresses fundamental challenges in hydrogen economy deployment through innovations in catalytic systems, interfacial engineering, and energy-dense storage methodologies. His department integrates electrocatalysis, complex fluid dynamics, and high-throughput methods to advance hydrogen storage efficiency and safety. As Director of HI ERN, Prof. Wasserscheid oversees comprehensive research programs across electrocatalytic interfacial process engineering, membrane synthesis, and sustainable photovoltaics. His strategic direction encompasses catalyst development, composite membrane analysis, and water electrolysis technologies, positioning the institute at the forefront of renewable energy conversion and storage research.

• High Frequency Electronics
• Radio Frequency Engineering
• Microwave Engineering
• +۳ مورد دیگر

Dr.-Ing. Eduard Heidebrecht is a researcher at the Chair of High Frequency Electronics within the Faculty of Electrical Engineering and Information Technology at RWTH Aachen University, Germany. He is based at the ICT Cube 2 building on Kopernikusstraße in Aachen, where he contributes to advanced research in high-frequency electronic systems. His research focuses on key areas in modern electronics, including high frequency and microwave engineering, radio frequency integrated circuit design, electromagnetic compatibility, and wireless communication systems. These domains are critical to the development of next-generation communication technologies, radar systems, and 5G/6G infrastructure. The Chair of High Frequency Electronics at RWTH Aachen is known for its strong emphasis on both theoretical and applied research in RF and microwave technologies. Dr. Heidebrecht's work aligns with the group's mission to innovate in circuit design, signal integrity, and high-speed electronic systems. No recent publications or scientific awards were listed in the provided information. However, his affiliation with one of Europe's leading technical universities suggests active participation in collaborative research projects and contributions to cutting-edge advancements in electrical engineering. Email: eduard.heidebrecht@hfe.rwth-aachen.de Office Location: ICT Cube 2, Electrical Engineering [2321], Kopernikusstr. 16, 52074 Aachen, Germany Phone: +49 241 80-42351

• High-performance computing
• Simulation software development
• Parallel algorithms
• +۳ مورد دیگر

Michael Bader is a Professor in the Department of Computer Science at the Technical University of Munich (TUM), part of the TUM School of CIT. He leads the research group on hardware-aware algorithms and software for high-performance computing at the Leibniz Supercomputing Center. His work focuses on developing efficient algorithms and software for supercomputing platforms, particularly in geosciences and simulation of earthquakes and tsunamis. His research interests include high-performance computing, simulation software development (e.g., SeisSol and ExaHyPE), parallel numerical algorithms, adaptive mesh refinement, and large-scale geophysical simulations such as earthquake dynamics and tsunami modeling. He emphasizes optimizing algorithms for modern supercomputing architectures to handle complex computational challenges. Professor Bader has supervised numerous PhD students, including Lukas Krenz, Ravil Dorozhinskii, and Sebastian Wolf, among others. His research has been supported by grants from the EuroHPC JU, BMBF, DFG, and other institutions. Notable projects include ChEESE-2P for exascale computing in solid earth sciences and the targetDART project for adaptive task distribution on exascale systems. He is actively involved in teaching, offering courses such as Numerical Algorithms for High Performance Computing and Scientific Computing 1 . His group collaborates extensively with institutions like the Leibniz Supercomputing Center to advance computational methods for simulating natural disasters and geophysical phenomena.

Heinz Bernhardtمشاهده پروفایل

استاد

• Precision Agriculture
• Agricultural Engineering
• Energy Management in Agriculture
• +۵ مورد دیگر

Prof. Dr. Heinz Bernhardt is a Full Professor at the Chair of Agricultural Systems Engineering at Technische Universität München (TUM), part of the TUM School of Life Sciences. His research focuses on technology integration in agricultural sciences, emphasizing precision agriculture, energy management, agricultural logistics, robotics, and sustainable farming systems. He holds a diploma in agricultural sciences from Justus Liebig University Giessen, a doctorate on bulk material transport in agricultural enterprises, and a habilitation on regulatory challenges in grain production. His career includes roles as Senior Lecturer at JLU Giessen and teaching positions at Kiel University before joining TUM in 2008. He leads research in smart farming, renewable energy integration, and IoT applications in agriculture. Notable projects include the CowEnergy energy management system and agrivoltaic systems for sustainable land use. Prof. Bernhardt’s publications highlight innovations in precision agriculture, livestock monitoring via AI, and sustainable energy solutions for farms. He is actively involved in industry collaborations and policy initiatives to advance agricultural technology through memberships in organizations like the Max Eyth Society and ASABE.

Gudrun Klinkerمشاهده پروفایل

استاد

• Industrial Augmented Reality
• Sensing
• Ubiquitous Tracking (Sensor Fusion)
• +۴ مورد دیگر

Overview Prof. Gudrun Klinker is a Professor at Technische Universität München (TUM), leading the Chair of Computer Science Applications in Medicine & Augmented Reality. She holds a PhD from Carnegie-Mellon University and has extensive experience in academia and industry, including roles at Digital Equipment Corporation and Fraunhofer Institute. Affiliations Professor (C3/W2) since 2000 Head of the FAR (Augmented Reality) research group Member of the CAMP (Computer Aided Medical Procedures) interdisciplinary team Research Dr. Klinker specializes in augmented reality (AR) with focuses on industrial applications, sensor fusion, 3D interaction, and healthcare integration. Her work bridges computer science with medical and industrial challenges, emphasizing user-centric design and real-world deployment. Key projects include: AR-based maintenance systems for complex machinery Healthcare applications like serious games for nutrition education VR/AR training environments for medical and aerospace domains Awards and Recognition Robert Sauer Prize (2010) for contributions to Bavarian science ISMAR Lasting Impact Award (2014) for influential AR research Teaching and Mentorship Prof. Klinker teaches courses on 3D user interfaces, AR fundamentals, and game design. She advises students in thesis projects, focusing on AR applications, HCI, and medical computing. Labs and Collaborations Her research is supported by partnerships with industry and institutions, leveraging TUM's interdisciplinary environment to advance AR/VR systems for real-world impact.

• Software Testing
• Autonomous Systems
• Automotive Software
• +۳ مورد دیگر

Nicola Kolb is a research associate at the Chair of Software and Systems Engineering at Technical University of Munich (Prof. Pretschner). His research focuses on testing criteria and case generation for automated and autonomous driving systems, emphasizing scenario-based testing approaches. He holds a Master's degree in Robotics, Cognition, Intelligence from TU Munich and a bachelor's in Automotive Computer Science via BMW Group's Speed-Up program. Education: Master of Science in Robotics, Cognition, Intelligence (TU Munich) Bachelor of Science in Automotive Computer Science (TU Munich, BMW Group collaboration) Research Interests: Scenario-based testing, autonomous systems safety, automotive software validation, and cyber-physical systems. He explores test case generation, automated driving system evaluation, and data-driven methodologies for testing. Teaching: Involved in courses like 'Advanced Topics of Software Testing' and 'Automotive Software Development' since 2021, collaborating with fortiss on system engineering projects. Presentations: Delivered talks at IEEE ITSC (2021-2023), AutoTest 2022, and BMW Summer School 2024, focusing on scenario-based testing methodologies and autonomous vehicle validation.