جستجوی استاد راهنمای دانشگاهی

Joachim Käschelمشاهده پروفایل

استاد

• Production Planning
• Production Control
• Scheduling
• +۳ مورد دیگر

Joachim Käschel serves as Professor and Chairholder of Business Administration VII (Production Management and Industrial Business Administration) at Chemnitz University of Technology's Faculty of Business and Economics. His research spans production planning, control systems, scheduling methodologies, transport logistics, service operations, and business process modeling within industrial contexts. Professor Käschel's scholarly work centers on quantitative optimization of production networks, employing evolutionary algorithms and simulation techniques to solve complex scheduling problems in job shops and distributed manufacturing systems. His investigations extend to ATP/CTP modeling in networks, neural network applications in financial forecasting, and efficiency enhancement through bidirectional data recording systems. This research bridges theoretical operations management with practical industrial implementation. Analysis of his 2000-2002 publications reveals consistent focus on production network dynamics, with significant contributions in real-time scheduling optimization, cost allocation frameworks, and regional network formation models. His work demonstrates strong integration of computational intelligence methods with traditional production management theory. He actively contributes to Collaborative Research Center 457 (Sonderforschungsbereich 457) at Chemnitz University, developing theoretical frameworks and methodological instruments for hierarchical regional production networks. His research group maintains strong industry connections through applied projects in production network coordination and optimization.

Angela Pohlمشاهده پروفایل

استاد

• Vectorization
• SIMD Programming
• Compiler Optimization
• +۳ مورد دیگر

Angela Pohl serves as a Professor in the Department of Computer Science and Media at Brandenburg University of Technology. Her academic office is located in Building C, Room C.2.18 at Magdeburger Straße 50, 14770 Brandenburg an der Havel, Germany, with contact available via telephone (+49 3381 355 - 459) and email (angela.pohl@th-brandenburg.de). Her research program centers on high-performance computing and compiler optimization , with critical contributions in: Vector length agnostic programming models for modern SIMD architectures Cost modeling and performance prediction for auto-vectorizers Architecture-specific optimizations for ARM NEON, Intel AVX, and SVE Application of vectorization to multimedia (VVC decoder) and scientific computing (RICH particle detector) Analysis of her 2015-2020 publications reveals a progression from foundational SIMD model evaluation to advanced portable cost modeling. Her work demonstrates consistent focus on bridging compiler technology with hardware capabilities, particularly emphasizing real-world applications in video coding and high-energy physics where vectorization delivers substantial performance gains.

Sebastian Altmeyerمشاهده پروفایل

استاد

• Real-time systems
• Embedded systems
• Multi-core architectures
• +۴ مورد دیگر

Sebastian Altmeyer is a Professor holding the Chair for Embedded Systems at the Institute of Computer Science within the Faculty of Applied Computer Science at the University of Augsburg. He has been in this position since August 2019, following his role as Assistant Professor at the University of Amsterdam from September 2017 to July 2019. Professor Altmeyer's research focuses on real-time systems and embedded computing, with particular expertise in multi-core architectures, cache analysis, scheduling algorithms, and response time analysis. His work bridges theoretical computer science with practical applications in safety-critical systems. He leads research projects including ADMORPH EU H2020, Multi-Core Response Time Analysis (MRTA), Design of Hardware Transactional Memory for Embedded Systems, and several others focused on manycore architectures and embedded system design. His extensive publication record demonstrates consistent contributions to the field of real-time systems, with recent work focusing on systematic evaluation techniques for real-time systems, multicore interference analysis, safety-critical edge robotics, and hardware transactional memory. His research shows a clear trajectory toward addressing the challenges of modern embedded systems with increasingly complex hardware architectures while maintaining real-time guarantees. Professor Altmeyer leads the Chair for Embedded Systems team at the University of Augsburg, which includes Prof. Dr. Theo Ungerer, Petra Zettl, Dr.-Ing. Martin Frieb, and several other researchers. The team conducts research in areas including hardware transactional memory, manycore architectures, and real-time system analysis. Their work has practical applications in safety-critical systems where timing guarantees are essential.

Silvan Wagnerمشاهده پروفایل

مدرس

• Medieval German Literature
• Narratology
• Courtly Literature
• +۴ مورد دیگر

PD Dr. Silvan Wagner is a Lecturer and researcher at the Chair of German Medieval Studies within the Faculty of Linguistics and Literature at the University of Bayreuth. Having completed his habilitation in 2013 with the thesis "Erzählen im Raum: die Erzeugung virtueller Räume im Erzählakt höfischer Epik," he has established himself as a specialist in medieval German literature, particularly courtly narratives and short epics. His academic journey began with studies in Germanistics and Protestant theology at Bayreuth (1999-2005), followed by a doctorate on "Images of God in Late Medieval Tales" (2005-2007). Wagner's research interests span historical narratology, courtly lay theology, medieval fairy tale poetry, narrative structures, and historically informed performance practice of Minnesang and epic literature. His scholarly approach uniquely bridges philological rigor with performance-oriented analysis, reflecting his parallel career as a professional mandolinist (with the Aramis Quartet) and theater artist. His work demonstrates particular strength in analyzing virtual spaces in narrative, wine culture in medieval literature, and the intersection of text and performance. Wagner has received significant recognition for his innovative teaching methods, including the University of Chemnitz's Teaching Prize for Innovative Teaching (2022), the SpLit Student Council Teaching Prize (2022), and the Bayreuth University Prize for Digital Teaching (2018). His recent publications reveal a sustained focus on medieval short narrative forms, wine culture in urban literature, Arthurian adaptations in popular culture, and the relationship between text and performance in medieval contexts. Among his notable achievements are founding and chairing the academic society 'Brevitas' for the study of pre-modern short epics, membership in the DFG network 'Things in Medieval Literature,' and associate membership in the DFG network 'Imitation: Mechanisms of a Cultural Principle in the Middle Ages.' His editorial work, particularly on Hans Rosenplüt's wine greetings and medieval didactic literature, has significantly contributed to the field. Wagner maintains an active dual career, combining rigorous academic scholarship with creative practice as a composer, concert musician, actor, and director (TG Bumerang/Lichtenfels). This interdisciplinary approach informs his distinctive perspective on medieval literature and performance, making him a unique voice in contemporary medieval studies.

• Operating Systems
• Computer Architecture
• Virtualization
• +۳ مورد دیگر

Prof. Redha Gouicem holds the Chair of Operating Systems at RWTH Aachen University. His research focuses on operating system design, virtualization, and multicore scheduling, with an emphasis on formal verification and performance optimization. Professorship: Operating Systems Location: RWTH Aachen University, Germany Research interests include: Multicore scheduling algorithms Binary translation and virtualization Formal verification of OS components CPU frequency scaling and performance optimization Comparison of scheduling models in Unix/Linux Domain-specific languages for scheduler development Recent work explores hypervisor-agnostic guest overlays, weak memory model translation, and provably correct multicore schedulers. His publications demonstrate technical depth in system software design and concurrency management. Current affiliations: RWTH Aachen University Chair of Operating Systems

• Computer Graphics
• Physics-Based Simulation
• Fluid Dynamics
• +۳ مورد دیگر

Prof. Dr. Jan Bender holds a professorship in Computer Animation at RWTH Aachen University's College of Engineering. As a leading researcher in physics-based simulation methods, his work focuses on developing advanced numerical techniques for fluid dynamics, deformable solids, and multi-physics interactions through Smoothed Particle Hydrodynamics (SPH) and Finite Element Methods (FEM). Key Contributions: Invented PF-FLIP for two-phase flows, developed SymX symbolic framework for energy-based simulations, created STARK unified solver for robotics applications, and introduced implicit boundary handling for SPH Methodologies: Specializes in hybrid Eulerian/Lagrangian approaches, differentiable physics, adaptive discretization, and machine learning integration for simulation acceleration Research Impact: 2023 & 2024 Best Paper Awards in VMV and SCA conferences. His work enables billion-particle fluid simulations and realistic multi-body interactions for robotics, with applications in welding, thermal spraying, and soft robotics. Collaborations: Works extensively with robotics institutes (Gazebo Fluids extension) and materials science departments (TIG welding, thermal spray modeling). Maintains open-source code repositories for simulation frameworks.

Viacheslav Krylovمشاهده پروفایل

استاد

• Micro-electromechanical systems (MEMS)
• Nanoelectromechanical systems (NEMS)
• Dynamics and stability of micro/nano devices
• +۵ مورد دیگر

Prof. Viacheslav Krylov is a faculty member at the School of Mechanical Engineering , Tel Aviv University, where he has served as Professor and Head of the School since 2002. His career spans academic research, industrial R&D, and leadership roles in computational mechanics societies. PhD in Applied Mechanics (1993), State Marine Technical University of St. Petersburg, Russia Postdoctoral Fellow, Université Pierre et Marie Curie (Paris VI) and Tel Aviv University His research focuses on design and modeling of micro/nanoelectromechanical systems (MEMS/NEMS) , emphasizing dynamic stability, electrostatic actuation, and sensor development. Key contributions include bistable microstructures, parametric resonance stabilization, and polymeric MEMS characterization tools. Recent publications highlight applications in self-calibrating accelerometers , thermoplastic nanoimprint lithography , and fluid-structure interaction in microsystems . Collaborations with institutions like Cornell University and NIST underscore his international academic network. Recipient of the Mary Shepard B. Upson Visiting Professorship (2015) Secretary-Treasurer, Israel Association for Computational Methods in Mechanics (IACMM) Prof. Krylov leads the Microsystems Design and Characterization Laboratory at TAU, integrating theoretical and applied mechanics to advance MEMS/NEMS technologies.

Jan Modersitzkiمشاهده پروفایل

استاد

• Image Registration
• Variational Methods
• Medical Imaging
• +۲ مورد دیگر

Jan Modersitzki is a Full Professor of Applied Mathematics at the University of Lübeck, where he leads research at the Institute of Mathematics and Image Computing. He holds a secondary affiliation with Fraunhofer MEVIS, focusing on image registration projects. His academic journey includes a Diploma (1990) and PhD (1995) from the University of Hamburg, followed by a Habilitation (2003) from the University of Lübeck. Career milestones include positions at Emory University, McMaster University, and CAU Kiel. Modersitzki's research centers on computational methods for medical imaging , with emphasis on variational techniques, optimization, and deformable registration. He developed the widely used FAIR toolbox (Flexible Algorithms for Image Registration) and has contributed to foundational theories in image alignment. His work bridges mathematical rigor with clinical applications in oncology, ophthalmology, and pulmonology. Analysis of his 15 most recent publications (2017–2025) reveals dominant themes: multiscale registration , discontinuous deformation modeling , and high-performance computing solutions for medical images. Trends include GPU acceleration, inverse problem optimization, and integration of machine learning with traditional variational frameworks. He actively contributes to academic societies including GAMM, MICCAI, and SIAM. No awards, grants, or supervised students are detailed in available materials.

• Computer Engineering
• Embedded Systems
• Hardware Design
• +۳ مورد دیگر

Shichen Huang, M.Sc., is a Researcher at the Chair of Integrated Systems under the TUM School of Computation, Information and Technology at the Technical University of Munich. His work focuses on hardware design, parallel computing, and memory systems, particularly in applications for automotive sensors and heterogeneous computing architectures. Position: Researcher Location: Room N2116, Building N1 (Theresienstr. 90), Munich, Germany His research interests include: High Dynamic Range (HDR) camera sensors for autonomous driving CPU-GPU heterogeneous computing techniques GPU synchronization methods in parallel computing Cache coherence protocols for multiprocessors Contact: shichen.huang@tum.de

Urvij Saroliyaمشاهده پروفایل

پژوهشگر

• Computer Architecture
• High Performance Computing (HPC)
• Performance Analysis and Modeling
• +۴ مورد دیگر

Urvij Saroliya is a doctoral candidate at the Technical University of Munich , affiliated with the Chair of Computer Architecture and Parallel Systems under Prof. Martin Schulz. He focuses on high-performance computing (HPC) and computer architecture, with expertise in resource management, heterogeneous accelerators, and energy-aware systems. Research Interests: Computer Architecture, HPC, Performance Modeling, Reinforcement Learning His recent publications analyze reinforcement learning applications for HPC resource management, including NUMA systems and GPU partitioning. His work emphasizes performance portability and energy efficiency in heterogeneous architectures. He contributes to ongoing projects like PDexa and participates in seminars on quantum computing integration and AI hardware development.

• Low-Level Programming
• Heterogeneous Computing
• Machine Learning Accelerators
• +۲ مورد دیگر

Dirk Stober is a researcher at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich . As a Ph.D. candidate, his work focuses on low-level programming, heterogeneous computing, and novel computer architectures, with a strong emphasis on FPGA programming and machine learning accelerators. His research explores the intersection of high-performance computing (HPC), quantum computing, and AI hardware development. Research Interests: Low-Level Programming Heterogeneous Computing Machine Learning Accelerators FPGA Programming Novel Computer Architectures His work contributes to advancing programming frameworks and performance modeling techniques for emerging architectures like quantum accelerators and AI-specific hardware. While no explicit scientific awards are listed, his involvement in courses such as Efficient Programming of HPC Systems and projects like SEANERGYS (EuroHPC) and Q-DESSI (MQV) highlights his engagement with cutting-edge computational technologies.

Jonas Winklmannمشاهده پروفایل

پژوهشگر

• Quantum Computing Architecture
• Efficient Algorithms on Heterogeneous Hardware
• Control Algorithms for Quantum Systems
• +۳ مورد دیگر

Jonas Winklmann is a researcher at the Chair of Computer Architecture and Parallel Systems at Technische Universität München (TUM), focusing on quantum computing architectures and hardware acceleration. He contributes to projects like SEANERGYS and MUNIQC-ATOMS, integrating quantum systems with high-performance computing (HPC) frameworks. Research: Quantum hardware design, FPGA-based acceleration, and parallel algorithms Collaborations: EuroHPC initiatives, interdisciplinary quantum computing efforts Teaching: Mentoring lab courses on HPC systems and quantum integration His work spans neutral atom quantum computing, algorithm optimization for heterogeneous platforms, and control systems for quantum devices. Publications highlight FPGA applications in quantum simulation and atom detection techniques. He collaborates on software projects like QMPI and SWEET, advancing quantum-HPC hybridization.

Micha Gryschkaمشاهده پروفایل

پژوهشگر

• Atmospheric Dynamics
• Climatology
• Turbulence Modeling
• +۳ مورد دیگر

Micha Gryschka is a Researcher at the Institute of Meteorology and Climatology , Leibniz University Hannover , affiliated with the Faculty of Mathematics and Physics . His work focuses on atmospheric dynamics, turbulence modeling, and polar meteorology, particularly in cold air outbreaks and sea ice leads. Roles: Deputy Chair of the Academic Staff Study Commission, Representative in Examination Board, Admissions Committee, and NHR Scientific Committee. Teaching: Lectures on Atmospheric Dynamics, Thermodynamics, Turbulence, and LES simulations. Research Interests revolve around: Turbulent Processes in polar regions Large Eddy Simulation (LES) applications Sea Ice Dynamics and leads Atmospheric Boundary Layer interactions Urban Canopy Modeling Recent Publications (2023–2016) emphasize: Polar heat exchange mechanisms Lead width impacts on turbulence Gray Zone turbulence modeling LES applications in wind farms Arctic boundary layer dynamics

Matthias Sühringمشاهده پروفایل

پژوهشگر

• Boundary Layer Meteorology
• Urban Climate Modeling
• Atmospheric Turbulence
• +۴ مورد دیگر

Dr. rer. nat. Matthias Sühring is a Researcher at the Institute of Meteorology and Climatology , part of the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric boundary layer dynamics , particularly through the development and application of the PALM model system (Parallelized Large-Eddy Simulation Model) for urban and regional climate studies. Key research areas include: Numerical methods for atmospheric modeling Large-eddy simulation (LES) of boundary layer processes Surface heterogeneity effects on turbulence and heat exchange Urban climate modeling and microscale meteorology Radiative transfer parameterization in urban environments Land-atmosphere interactions His recent work emphasizes the integration of LES with observational data for urban climate applications, energy balance closure analysis, and pollutant dispersion studies. Collaborations include international teams working on the CHEESEHEAD19 and MOSAIK-2 projects. Current publications highlight advancements in urban canopy models, UV radiation exposure, and deep learning approaches for atmospheric CO 2 transport. Primary affiliations: Institute of Meteorology and Climatology , Leibniz University Hannover Boundary Layer Meteorology Group , Leibniz University Hannover

• Artificial Intelligence
• Machine Learning
• Game Theory
• +۷ مورد دیگر

Frans A. Oliehoek is a Full Professor in Interactive Learning and Decision Making at the Department of Intelligent Systems, Delft University of Technology. He co-leads the Sequential Decision Making group and serves as director and co-founder of the ELLIS Delft Unit. His academic affiliations include senior membership at AAAI, board membership at IFAAMAS, and associate editor roles for JAIR and AIJ. His research focuses on interactive learning and decision making , integrating AI, machine learning, and game theory to develop algorithms for agents interacting in complex, dynamic environments. Key themes include Bayesian reinforcement learning , influence-based abstraction , multi-agent coordination , and uncertainty modeling in real-world applications like traffic control, human-AI collaboration, and e-commerce agents. Recent publications highlight advancements in Bayesian RL with factored POMDPs , multi-agent safety guarantees , and state abstraction . His work spans theoretical foundations (e.g., Nash equilibria, MDP homomorphic networks) and practical frameworks (e.g., SHARPIE for human-AI experiments). Scientific contributions include: ELLIS Fellowship Senior AAAI Membership Best Paper Award at ALA 2021 Outstanding Paper Award at RLC 2024 He has advised students like Miguel Suau and Robert Loftin, with applications in multi-agent reinforcement learning , Bayesian planning , and human-AI interaction . Collaborations span institutions like UC Berkeley, University of Amsterdam, and MIT.