جست‌وجوی استاد و پژوهشگر

Janis Joshua Elmerمشاهده پروفایل

پژوهشگر

• Business Informatics
• Information Management
• Digital Identity
• +۴ مورد دیگر

Janis Joshua Elmer is a Researcher at the Department of Information Systems, part of the School of Business and Economics at Westfälische Wilhelms-University Münster. He is affiliated with the Chair for Information Systems and Information Management led by Prof. Jörg Becker. His work focuses on business informatics, digital identity systems, and blockchain applications in public governance. He has contributed to projects funded by the European Union, including the EBSI initiative on verifiable credentials. Recent research examines university-SME collaboration dynamics. He teaches in academic terms since 2024 and maintains active consultation hours by appointment. Education details not explicitly stated Research interests emphasize trust mechanisms in digital systems, identity management architectures, and blockchain-based solutions for public institutions. His 2025 publication explores systematic approaches to fostering university-enterprise partnerships. Current and past projects include EU-funded work on decentralized identity frameworks operational from 2023-2025.

Christian Kallaمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Enterprise Architecture
• Logistics and Operations Research
• +۳ مورد دیگر

Dr. Christian Kalla is a Researcher at the Department of Information Systems within the School of Business and Economics at the University of Münster. He is affiliated with the Chair of Information Systems and Supply Chain Management led by Prof. Bernd Hellingrath. His research focuses on Supply Chain Management, Enterprise Architecture, Logistics, and Digital Transformation. Key projects include investigating digital cash-based assistance in humanitarian crises (funded by Norway) and theoretical frameworks for Sales and Operations Planning (S&OP) funded by the German Academic Exchange Service (DAAD). He actively teaches courses in Business Information Systems and supervises theses on topics like S&OP maturity models, risk integration, and digitalization challenges. His work bridges enterprise architecture with operational resilience and sustainability in supply chains.

Johannes Betzمشاهده پروفایل

استاد

• Autonomous Systems
• Vehicle Control
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Johannes Betz is a Rudolf Mößbauer Professor at the Technical University of Munich (TUM), leading the Chair of Autonomous Vehicle Systems within the Department of Mobility Systems. His research focuses on software development for autonomous vehicles, emphasizing algorithms for environmental perception, path planning, and control to enable safe, efficient autonomous operation. He holds a B.Eng. and M.Sc. in Automotive Engineering from Coburg University and the University of Bayreuth, followed by a Ph.D. in Engineering from TUM (2019). Notable achievements include founding the TUM Autonomous Motorsport Team, which won the Indy Autonomous Challenge ($1M prize), and extensive postdoc work at TUM and the University of Pennsylvania. Education: B.Eng., Automotive Engineering, Coburg University of Applied Sciences (2013) M.Sc., Automotive Engineering, University of Bayreuth (2013) Ph.D. in Engineering, Technical University of Munich (2019) Research Interests: Autonomous vehicle software architecture Real-time trajectory and behavior planning Adaptive control for high-performance systems Simulation and validation frameworks Ethics of autonomous decision-making Awards: IEEE ITS Young Professional Travel Fellowship (2022) 1st Place, Indy Autonomous Challenge (2021) New Generation Star Project Award (2024) Outstanding Reviewer Award (2024) Labs & Teams: TUM Autonomous Motorsport Team (race competition leader) AVS Lab (Autonomous Vehicle Systems)

Peter Wägemannمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Worst-Case Analysis
• +۵ مورد دیگر

Peter Wägemann is a postdoctoral researcher leading the Embedded Systems Software group at the Chair of Computer Science 4 (System Software) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research focuses on real-time systems, energy-constrained systems, worst-case analysis, and fault tolerance in embedded systems. He has received multiple awards, including the Best Paper Award at ECRTS '24 and Outstanding Paper Awards at ECRTS '18 and RTAS '17. His work spans topics like clock reconfiguration, energy-neutral systems, and Byzantine fault tolerance. Wägemann's teaching includes courses such as System-Level Programming, Real-Time Systems, and Dependable Real-Time Systems. He has organized conferences like WCET and RTSS and serves on program committees for top venues. His funded projects include DFG grants for Byzantine Fault Tolerance (BFTeam), whole-system analysis (Watwa), and power-constrained systems (ResPECT). He also collaborates with industry partners like Schaeffler AG on safety-critical AI systems. Key contributions include the Platin WCET analysis tool, TinyBFT for resource-constrained systems, and energy-efficient frameworks like FusionClock. His work bridges theoretical analysis with practical implementations in embedded systems, emphasizing sustainability and real-time guarantees.

Dustin T. Nguyenمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Kernel Compilation
• +۳ مورد دیگر

M. Sc. Dustin T. Nguyen is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) within the Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on kernel compilation, operating systems, and distributed systems design. He contributed to the Cocoon project, which explores custom-fitted kernel compilation techniques. Teaching activities include leading exercises for the course 'Systemprogrammierung 1 (SP1)' during the Summer Term 2019. His academic background includes a Master’s thesis titled 'Boot-time Target Optimization for Operating Systems based on LLVM for X86 Architecture,' supervised by Prof. Wolfgang Schröder-Preikschat and others. Contact details include his office room 0.045-113 at Martensstraße 1, Erlangen, and professional email nguyen@cs.fau.de. He is affiliated with the university’s Computer Science 4 group, specializing in distributed systems and operating systems research.

Klaus Stengelمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Sensor Networks
• +۳ مورد دیگر

Klaus Stengel is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg. He focuses on distributed systems, sensor networks, cloud computing, and deterministic multithreading. His work includes stateful mobile modules for sensor networks and resilient in-network processing. Teaching activities from 2010–2015 included exercise sessions for Distributed Systems, Middleware/Cloud Computing, and seminars on operating systems and cloud computing concepts. Supervised thesis topics include deterministic parallel execution in virtual machines and stateful migration in Contiki-based sensor networks. Contact: +49.9131.85.27909 or email . Office: Room 0.041, Martensstr. 1, 91058 Erlangen.

• Operating Systems
• Energy-Aware Systems
• Power Management
• +۴ مورد دیگر

Frank Bellosa is a Professor and head of the Operating Systems Group at the Karlsruhe Institute of Technology (KIT). Previously, he held roles at the University of Erlangen, including Assistant Professor and researcher in the Operating Systems Department. He earned his PhD from the University of Erlangen in 1998, focusing on memory-conscious scheduling in multiprocessor systems. His research interests center on energy-aware systems, including OS-directed power management, thermal management in distributed systems, and flexible operating system architectures. Key projects include Event-Driven Clock Scaling (Process Cruise Control) and Energy-Aware Memory Management. He has advised numerous students on topics like temperature-aware scheduling and power management for embedded systems. Bellosa's publications span dynamic thermal management, cooperative I/O, and energy-efficient file systems. His work emphasizes reducing energy consumption while maintaining performance through innovative OS mechanisms. He has contributed to international conferences and workshops, including EuroSys and USENIX, and serves on program committees for major systems conferences. Current roles include leading the Operating Systems Group at KIT and contributing to initiatives like the Disruptive Memory Systems workshop. His research bridges hardware and software, addressing challenges in modern computing systems' efficiency and scalability.

Gunter Bolchمشاهده پروفایل

استاد

• Performance Modelling
• Process Control
• Operating Systems
• +۶ مورد دیگر

Dr. Gunter Bolch was a Professor and former head of the Performance Modelling and Process Control research group at the Department of Computer Science 4 (Distributed Systems and Operating Systems) of Friedrich-Alexander-Universität Erlangen-Nürnberg. He held positions such as Akademischer Direktor and was a Visiting Professor at institutions like the Catholic University of Rio de Janeiro. His work focused on performance modeling using queueing networks, stochastic Petri nets, and Markov chains, with applications in telecommunications and operating systems. Education: Studied Telecommunication at Technical Universities of Karlsruhe and Berlin (Ph.D. 1973). Retired in 2006 but remained active in research and academia until his passing in 2008. Research interests spanned performance evaluation, process control, and analytical methods for computer systems. He authored/co-authored 7 books and over 130 publications, including influential works on queueing networks and MOSEL modeling language. Key contributions include the PEPSY and MOSEL tools for performance analysis. Collaborated internationally on conferences like ASMTA and ESS. His work integrated theoretical models with practical applications, impacting both academia and industry.

• Concurrency Theory
• Formal Verification
• Process Calculi
• +۳ مورد دیگر

Uwe Nestmann is a Professor of Computer Science at Technische Universität Berlin. His research focuses on concurrency theory, formal verification, and process calculi. He has contributed to foundational work in semantics of concurrent systems, distributed computing, and formal methods. His publications explore topics such as causality in event structures, failure detectors in distributed algorithms, and session types for network reliability. Nestmann has collaborated on verifying distributed algorithms and analyzing system architectures using operational semantics. His work bridges theoretical computer science with practical applications in distributed systems and security protocols. Education and Roles: Professor at TU Berlin (Computer Science Department) Research Interests: Concurrency Theory Formal Verification of Distributed Systems Process Calculi (e.g., π-calculus, ambient calculi) Semantics of Programming Languages System Security and Reliability Key Contributions: Nestmann’s work on encoding analysis for guarded choice and operational semantics for failure detectors has influenced theoretical models of concurrency. His recent research includes causality models in distributed systems and session type systems for handling link failures. Awards and Grants: No specific awards mentioned in the provided texts, though his extensive publication record indicates significant academic recognition. Labs/Teams: Not explicitly detailed in the texts, but his work suggests involvement in theoretical computer science and distributed systems research groups.

Thomas Wieheمشاهده پروفایل

استاد

• Bioinformatics
• Population Genetics
• Genome Evolution
• +۷ مورد دیگر

Thomas Wiehe is a Professor for Bioinformatics and Population Genetics at the University of Cologne, where he has been a faculty member since 2003. He leads the Wiehe Research Group, focusing on evolutionary genomics and theoretical population genetics. His research centers on the evolution of multi-copy gene families, including gene duplication, copy number variation, and selective sweeps. Using mathematical modeling and bioinformatics, he investigates genomic dynamics in structured populations, with applications in zebrafish, beetles, plants, and nematodes. His recent publications span theoretical models of coalescent processes, genome architecture, and adaptation, reflecting a strong trend in integrating mathematical theory with empirical genomics. Key themes include unequal recombination, mutation accumulation, and the interplay between demography and selection. He has authored numerous high-impact papers in journals such as eLife , Genetics , PLoS Computational Biology , and Theoretical Population Biology . Thomas Wiehe has supervised multiple researchers and students through his research group, contributing to training in computational biology and evolutionary genomics. His work is supported by ongoing research projects and collaborations across Europe. He leads a research lab focused on bioinformatics and population genetics, utilizing simulations and data analysis to explore genome evolution. The group investigates both animal and plant systems, emphasizing conserved evolutionary mechanisms.

• Photovoltaics
• Solar Energy Conversion
• Semiconductor Physics
• +۴ مورد دیگر

Prof. Dr. Uwe Rau is a leading academic researcher at Forschungszentrum Jülich, affiliated with the Institute of Energy Materials and Devices (IMD), where he heads the Photovoltaics (IMD-3) division. His work focuses on advancing solar cell technologies and materials for renewable energy applications. His research interests lie at the intersection of semiconductor physics and photovoltaic device engineering, with a strong emphasis on understanding charge carrier dynamics, recombination mechanisms, and efficiency limitations in thin-film and crystalline silicon solar cells. His group conducts fundamental and applied research to improve the performance and sustainability of photovoltaic systems. There is currently no public list of his scientific awards or publications in the provided text. However, his leadership role in a major Helmholtz research division indicates significant contributions to the field of solar energy research. Prof. Rau advises graduate students and leads a research team focused on photovoltaics, though specific names are not listed. He is involved in collaborative research projects and has contributed to national and international efforts in renewable energy technology development. The Photovoltaics (IMD-3) group at Forschungszentrum Jülich operates advanced experimental facilities for characterizing solar cells and developing next-generation photovoltaic materials and architectures.

Thomas Huckleمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Scientific Computing
• Parallel Computing
• +۷ مورد دیگر

Prof. Thomas Huckle is a Professor of Scientific Computing at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Computer Science. His research focuses on numerical linear algebra, parallel computing, and their applications in physics and computer science. Key interests include solving linear problems on parallel architectures, image processing, multigrid methods, preconditioning, and tensor-based high-dimensional problem approximation. Education: Studied mathematics and physics at the University of Würzburg (diploma in mathematics, 1985 PhD, 1991 habilitation). Professional History: DFG-funded research at Stanford University (1993–1994), appointed to TUM in 1995, and member of the Mathematics Department since 1997. Research Interests: Prof. Huckle’s work spans numerical methods for large-scale systems, including structured matrices, regularization techniques, and quantum computing applications. He develops algorithms for parallel computing environments and contributes to software tools like ELPA for eigenvalue problems. Grants and Labs: Engaged in projects such as the ELPA-AEO eigensolver and ESSEX-II initiatives. Active in the SCCS (Scientific Computing and Computational Science) group at TUM, focusing on high-performance computing and numerical methods.

Ingo Weberمشاهده پروفایل

استاد

• Business Process Management
• Process Mining
• Software Architecture
• +۵ مورد دیگر

Prof. Dr. Ingo Weber is a Full Professor at the Technical University of Munich (TUM) in the Department of Information System Development and Operation within the TUM School of Computation, Information and Technology. He also serves as Director of Digital Transformation and ICT Infrastructure at the Fraunhofer-Gesellschaft. Previously, he held a full professorship at TU Berlin (2019–2022) and spent a decade in Australia researching at CSIRO, NICTA, and UNSW. His research focuses on Business Process Management (BPM), Process Mining, Blockchain technology, Software Architecture, DevOps, and AI Systems Engineering. Weber has authored/co-authored influential books including DevOps: A Software Architect's Perspective (Addison-Wesley, 2015) and Engineering AI Systems: Architecture and DevOps Essentials (2025). Education & Career - PhD in Semantic Methods for Business Process Modeling (University of Karlsruhe, 2009) - SAP Research parallel role during doctoral studies - Tenured Professorships at TU Berlin and TUM Research Interests Weber's work bridges academic theory and industrial applications. Key areas include: - Blockchain-based process execution (Caterpillar framework on Ethereum) - AI-driven DevOps practices - Scalable transaction creation in blockchain systems - Sustainability-oriented process analysis (SOPA framework) - Generative AI for large process models Awards - Two-time BPM Best Blockchain Paper Award (2019/2022) - ISSRE Best Paper (2015) - CSIRO/NICTA Excellence Awards (2015–2018) - EDOC 2023 Best Paper Grants & Labs - Leads Fraunhofer's digital transformation initiatives - Collaborates with industry partners like Commonwealth Bank (Australia) - Active in EU/CSIRO-funded blockchain research projects Key Contributions - Pioneered blockchain-based BPM systems (Caterpillar) - Defined blockchain pattern taxonomies - Developed tools like BLF (Blockchain Logging Framework) - Advocates for responsible AI engineering practices

Sebastian Schwenenمشاهده پروفایل

دانشیار

• Applied Microeconomics
• Energy Markets
• Decarbonization Strategies
• +۴ مورد دیگر

Prof. Dr. Sebastian Schwenen is an Associate Professor at the Technical University of Munich (TUM School of Management) and Research Fellow at DIW Berlin and the Mannheim Institute for Sustainable Energy Studies. His research focuses on applied microeconomics and energy markets, emphasizing decarbonization strategies, energy policy, and regulatory frameworks. He holds a PhD from Copenhagen Business School and previously worked at the European University Institute and DIW Berlin. Education: PhD in Economics, Copenhagen Business School (2015) MSc in Economics, Humboldt University of Berlin Visiting Scholar, London School of Economics (2013) Research Interests: Prof. Schwenen examines energy market efficiency, renewable energy policies, and the interplay between strategic firm behavior and regulatory interventions. His work addresses challenges in transitioning to low-carbon energy systems while ensuring affordability and supply security. Key Contributions: His research has informed EU energy policy through projects with the German Federal Ministry for Economic Affairs and the European Commission. Notable areas include capacity market design, renewable support mechanisms, and carbon disclosure mandates. Awards: Best Teaching Award, TUM School of Management (2023) Research Grant in German Energy Research Program (2020) Young Economist's Essay Award (2012) Labs/Teams: Affiliated with DIW Berlin's Energy Policy Research Group and the Mannheim Institute for Sustainable Energy Studies.

Robert Königمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Quantum Computation
• Quantum Cryptography
• +۳ مورد دیگر

Robert König is an Associate Professor at the Technical University of Munich (TUM), leading the Theory of Complex Quantum Systems group within the Department of Mathematics. He is affiliated with the TUM Institute for Advanced Study (TUM-IAS) and focuses on quantum information theory, quantum computation, and their applications to many-body physics. His work explores the fundamental limits of quantum information processing and novel quantum algorithms. Education & Positions: PhD in Applied Mathematics and Theoretical Physics, University of Cambridge (2007) Postdoctoral positions at Caltech's Institute for Quantum Information and IBM's TJ Watson Research Center Assistant Professor at the University of Waterloo (2012–2014) Joined TUM as a Rudolf Mößbauer Tenure Track Professor in 2015, promoted to Associate Professor in 2020 Research Interests: König investigates quantum communication, quantum cryptography, and fault-tolerant quantum computing. His studies include quantum advantage, error-correcting codes, and the interplay between quantum systems and condensed matter physics. His work bridges theoretical foundations and practical applications, such as optimizing quantum algorithms and enhancing quantum hardware resilience. Key Contributions: Proven quantum computational advantage in shallow circuits Developed error-detection protocols for bosonic systems Advanced theoretical frameworks for quantum channel capacities Contributed to the mathematical foundations of quantum many-body systems Awards: NSERC Discovery Grant (2013) Swiss National Science Foundation Fellowship (2010) Smith/Rayleigh-Knight Prize (University of Cambridge, 2006) ETH Medal and Willi-Studer Prize (2003) Labs & Collaborations: König's research group collaborates with institutions globally, focusing on quantum information theory, topological quantum computing, and hybrid quantum-classical algorithms. His work is supported by TUM-IAS and international grants.