جست‌وجوی استاد و پژوهشگر

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.

• Quantum Communication
• Quantum Optics
• Two-Dimensional Materials
• +۳ مورد دیگر

Prof. Dr. Tobias Vogl is a Professor of Quantum Communication Systems Engineering at the TUM School of Computation, Information and Technology, Technical University of Munich (TUM). His research focuses on advancing quantum communication technologies, particularly leveraging two-dimensional materials like hexagonal boron nitride (hBN) and molybdenum disulfide (MoS₂) for quantum emitters, photonic integrated circuits, and satellite-based quantum systems. Key research directions include quantum optics applications, defect engineering in 2D materials for quantum memories, and space-qualified photonic devices. Recent work emphasizes testing foundational quantum mechanics postulates, developing robust quantum light sources for space communication, and creating efficient algorithms for quantum computing. His contributions span theoretical modeling (e.g., defect databases), experimental fabrication (e.g., dry transfer methods), and applied systems (e.g., handheld QKD devices). Prof. Vogl’s interdisciplinary approach bridges materials science, photonics, and quantum information science, with a strong emphasis on practical applications such as secure quantum communication networks and space-based quantum experiments.

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.

• Modeling and verification of reactive systems
• Probabilistic model checking
• Stochastic systems analysis
• +۷ مورد دیگر

Christel Baier is a full professor and head of the Chair for Algebraic and Logical Foundations of Computer Science at TU Dresden since 2006. She holds a Diploma in Mathematics (1990), PhD (1994), and Habilitation (1999) from the University of Mannheim. Previously, she was an associate professor at the University of Bonn (1999–2006). She serves as Dean of the Faculty of Computer Science at TU Dresden (2025–2027) and has held leadership roles including Vice-Dean (2019–2024). Her research focuses on formal methods, probabilistic systems, and verification, with notable contributions in probabilistic model checking, temporal logics, and automata theory. She has received prestigious awards such as the Honorary Doctorate from RWTH Aachen (2022) and the Jean-Claude Laprie Award (2023). She leads major projects like SEMECO (Zukunftscluster) and contributes to initiatives like the Collaborative Research Center for Tactile Internet. Her editorial roles include editorship of Acta Informatica and ACM SIGLOG News . Baier's work bridges theoretical foundations with practical applications in system dependability and software engineering. She actively participates in international conferences and program committees, emphasizing the synthesis and analysis of component-based systems.

• Multimedia Data Processing
• Audio/Video Technology
• Embedded Systems
• +۳ مورد دیگر

Prof. Dr. rer. nat. Michael Koch is a Professor and currently serves as Vice-Rector for Studies and Teaching and Acting Inclusion Officer at Stralsund University of Applied Sciences. His primary affiliation is with the Electrical Engineering and Computer Science faculty. His research focuses on multimedia data processing (audio/video), including digitization, storage, transmission, compression, and development of multimedia devices. He also explores operating systems and embedded systems. Key labs associated with his work include the Audio/Video Studio and Multimedia Laboratory. He teaches courses such as Operating Systems, Media Informatics I/II, and Distributed Programming. His administrative roles involve overseeing educational policies and promoting inclusive practices.

• Distributed communication networks
• Infrastructure-independent networks
• Aerial communication systems
• +۵ مورد دیگر

Dr. Julian Zobel is a postdoc researcher at the Adaptive Communication Systems research group within the Department of Electrical Engineering and Information Technology at the Technical University of Darmstadt. He completed his computer science studies at TU Darmstadt and worked as a research assistant from 2018-2022 before finishing his PhD in 2023 with a thesis focused on autonomous applications of aerial communication networks in disaster situations. His research interests include: Distributed and infrastructure-independent communication networks Aerial communication support and network monitoring Satellite networks Disaster response communication systems Wireless sensor networks for emergency scenarios Dr. Zobel's recent publications demonstrate a strong focus on improving communication resilience in disaster scenarios through innovative approaches involving UAVs, satellite communication, and network monitoring systems. His work bridges theoretical networking concepts with practical implementations for emergency response situations, with particular emphasis on infrastructure-independent solutions that can operate when traditional communication systems fail. His research spans multiple technical domains including protocol design, network resilience, and field testing of communication systems in realistic environments. He has supervised over 25 Master's and Bachelor's theses on topics related to his research. Notable students include Jakob Karg (KOM Award for Best Master's Thesis 2019) and Lukas Wehrstein (KOM Award for Best Bachelor's Thesis 2022). His advisees have worked on projects ranging from UAV-based network topology monitoring to low-power communication protocols for emergency crisis communication. Dr. Zobel maintains an active research profile with publications spanning conferences like ISCRAM, IEEE LCN, WONS, and journals like Global Change Biology. His collaborative work includes frequent partnerships with researchers such as Ralf Steinmetz, Björn Scheuermann, and Ralf Kundel. He is currently focused on advancing research in distributed communication networks that can operate independently of traditional infrastructure, with particular attention to satellite communication, UAV-based systems, and network monitoring approaches that can be deployed rapidly in emergency situations.

Stefan Röhlمشاهده پروفایل

استاد

• Logistics
• Operations Research
• Mathematics
• +۴ مورد دیگر

Prof. Stefan Röhl is a Professor of Mathematics and Logistics at the Technical University of Bingen since August 2008. He holds a PhD in Operations Research from Humboldt University Berlin (2001) and has extensive experience in academia and research, including roles at the Zuse Institute Berlin and Vorarlberg University of Applied Sciences. He currently serves on the Senate of the Technical University of Bingen (since 2014) and previously chaired the Examination Board for several engineering programs (2012–2021). His research focuses on logistics, optimization, stochastic processes, and game theory. His notable publications address inventory management, vehicle scheduling, and stochastic dynamic models. Röhl teaches courses in mathematics, logistics, and operations research at both bachelor’s and master’s levels. He has collaborated on industry projects with partners like Vorarlberger Kraftwerke AG, BASF AG, and Deutsche Telekom AG, focusing on optimization of logistics, production processes, and energy management.

Joachim Wagnerمشاهده پروفایل

استاد

• Physical Chemistry
• Soft Matter
• Colloidal Systems
• +۴ مورد دیگر

Prof. Dr. Joachim Wagner is a full Professor in the Department of Physical Chemistry at the University of Rostock, where he leads the research group on Complex Molecular Systems. He is affiliated with the Institute of Chemistry within the Faculty of Mathematics and Natural Sciences. His work bridges theoretical and experimental physical chemistry, focusing on soft matter and colloidal systems. Diplom, Saarland University (1995) Doctorate (Dr. rer. nat.), Saarland University (1998) Habilitation in Physical Chemistry, Saarland University (2007) His research centers on the structure and dynamics of soft matter, particularly colloidal suspensions and magnetic nanoparticles. He employs advanced scattering techniques—light, X-ray, and neutron scattering—to probe microstructural and dynamic properties. His work has significant implications for understanding ferrofluids, gels, and field-responsive materials. The 15 most recent articles reflect a sustained focus on colloidal systems under external fields, scattering characterization, and theoretical modeling. Key themes include magnetic anisotropy, relaxation behavior in doped ferrofluids, and structural evolution in aggregating systems. The publications span journals in physical chemistry, condensed matter, and materials science, demonstrating interdisciplinary reach. While no formal scientific awards are listed in the source text, his sustained publication record and professorial position indicate recognition in the field. Prof. Wagner advises graduate students in physical chemistry and leads an active research group. Although specific grants are not mentioned, his research infrastructure implies support through national or institutional funding. His group operates advanced scattering and characterization facilities. The research group 'Physical Chemistry – Complex Molecular Systems' conducts experimental and theoretical investigations into soft matter, focusing on microstructure, dynamics, and response to external stimuli. The team utilizes both in-house and large-scale scattering facilities, fostering collaborations in materials and condensed matter science.

Andrea Rosàمشاهده پروفایل

پژوهشگر

• Parallel Computing
• Concurrent Programming
• Performance Optimization
• +۳ مورد دیگر

Andrea Rosà is a researcher at the University of Lugano (USI), Switzerland, with a focus on performance optimization, concurrency, and profiling in the Java Virtual Machine (JVM) ecosystem. His work spans tool development, benchmarking, and parallel computing, often targeting metrics related to task granularity and synchronization. He has contributed to major conferences such as SPLASH, APLAS, and GPCE, and is actively involved in program committees and artifact evaluations. His research includes designing profiling tools like P3 and Renaissance, which analyze parallel applications, lock-free operations, and dynamic program behavior. These tools have been instrumental in benchmarking modern JVM performance and identifying variability in workloads. Andrea has authored numerous papers on profiling Java Streams, vector APIs, and multi-language dynamic analysis. His work often addresses challenges in automated benchmarking, runtime transitions, and task granularity optimization.

Tian Tanمشاهده پروفایل

استادیار

• Program Analysis
• Static Program Analysis
• Software Engineering
• +۳ مورد دیگر

Tian Tan is an Assistant Professor at the Department of Computer Science and Technology , Nanjing University , where he co-runs the PASCAL Research Group . He previously worked as a postdoctoral researcher at Aarhus University (CASA) and earned his Ph.D. in Computer Science from the University of New South Wales (CORG) in 2017, advised by Prof. Jingling Xue. His research focuses on program analysis techniques and tools for programming languages, software engineering, and security. He has developed frameworks like Tai-e for static analysis and contributed to understanding Java reflection and pointer analysis. Education: Ph.D. (UNSW), B.Eng. (Northwestern Polytechnical University) Teaching: Courses on compilers and program analysis Recent work spans compiler design, cross-language pointer analysis, and security frameworks. His publications emphasize context sensitivity, artifact evaluation, and practical implementations. Scientific Awards: Distinguished Artifact Award (OOPSLA'23) Best Artifact Award (ICSE'25) Distinguished Paper Award (ECOOP'16) Distinguished Paper Award Nominee (ISSRE'17) He serves on program committees for SAS'25, ESEC/FSE'25, and SOAP'25, and has reviewed for top-tier venues like TOPLAS, SAS, and ISSTA.

Matthias Felleisenمشاهده پروفایل

استاد

• Programming
• Programming Languages
• Type Systems
• +۵ مورد دیگر

Matthias Felleisen is a Professor in the College of Computer Science at Northeastern University. He is renowned for founding the PLT research group and pioneering the TeachScheme! educational initiative, which evolved into the Bootstrap project. His work spans programming languages, type systems, and educational tools. Affiliation: Northeastern University Academic Rank: Professor Research Interests: Programming Languages, Type Systems, Domain-Specific Languages, Concurrency Models His recent research includes type tailoring, effectful software contracts, and trace contracts. He has contributed extensively to programming language design and implementation, with a focus on gradual typing, language workbenches, and educational frameworks. Conference Contributions (2012-2025): ECOOP 2015-2025: Papers on gradual typing, contract systems ICFP 2016-2024: Research on Typed Racket, blame evaluation, concurrency SPLASH 2012-2023: OOPSLA papers on type migration, macros, visual syntax Mentoring Activities: Keynote speaker at PLMW 2016 ICFP 2020 mentoring sessions

Michael Winterمشاهده پروفایل

پژوهشگر

• Algorithmic Information Theory
• Music Theory
• Digital Humanities
• +۴ مورد دیگر

Michael Winter is a composer, sound artist, and researcher currently working as a specialist for the Digital Humanities project 'Commoning Biomedicine: Networking Decentralised Collections of Oral Histories' at the Max Planck Institute for the History of Science in Berlin. He is also the co-founder and director of the nonprofit arts organization The Wulf, which hosts free experimental music performances in Los Angeles. His career bridges artistic practice with rigorous academic research in algorithmic information theory and digital humanities. Winter's research interests focus on the intersections of Algorithmic Information Theory, Music Theory, Digital Humanities, Sound Art, Phenomenology, Mathematics, and Epistemology. His work explores how algorithmic processes shape musical composition, perception, and social structures. He frequently examines the connections between music, mathematics, communication theory, and epistemology, with particular attention to how computational models can illuminate phenomenological experiences. His publications reveal a consistent interdisciplinary trajectory, with recent works like 'A simplicity bubble problem and zemblanity in digitally intermediated societies' (2024) demonstrating his ongoing exploration of how algorithmic information theory relates to social phenomena in the digital age. His research often investigates the emergence of complexity, consensus, echo chamber effects, and niche construction through mathematical models, with applications to understanding Big Data and algorithmization in contemporary society. Winter has extensive experience in digital humanities projects, having worked as a research programmer for Wolfram Alpha and the Brain Operation Database developed by the University of Southern California Brain Project. He was also an artist-in-residence at the Akademie Schloss Solitude in Stuttgart, Germany from 2018 to 2019, and co-founded the Los Angeles-based arts organization The Wulf in 2008, which has become a hub for experimental arts.

Christian Dietrichمشاهده پروفایل

استاد

• Operating Systems
• Real-Time Systems
• Embedded Systems
• +۳ مورد دیگر

Christian Dietrich is a Professor at the Technische Universität Hamburg (TUHH) in the Operating System Group (OSG) . His research focuses on Operating Systems , Real-Time Systems , and Embedded Systems , with specific interests in Software Fault Tolerance , Memory Management , and Software Variability . Projects: ParPerOS (Parallel Persistency OS), ATLAS (Adaptable Thread-Level Address Spaces), CLASSY-FI (Cross-Layer Fault Injection), AHA (Automated Hardware Abstraction), CADOS (Configurability-Aware OS) Supervised Theses: 10+ completed theses on topics like io_uring Integration , Heterogeneous Multi-Core , Virtual Memory Primitives , and Fault Injection His recent publications (2022-2024) address Heterogeneous Computing , Virtual Memory Interfaces , and Crash-Consistent Systems . He received awards including USENIX ATC 2017 Best Paper , RTAS 2015 Best Paper , and ISORC 2022 Outstanding Paper .

Philipp Rohdeمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Query Optimization
• Semantic Web
• +۳ مورد دیگر

Philipp Rohde serves as a Researcher at the Scientific Data Management research group within the Leibniz Information Centre for Science and Technology (TIB) while pursuing his Ph.D. in Computer Science at Leibniz Universität Hannover. His work bridges academic research and practical implementation in knowledge graph technologies, with emphasis on query processing systems and data validation frameworks. Academic Background: Bachelor of Science (B.Sc.) in Computer Science, Leibniz Universität Hannover Master of Science (M.Sc.) in Computer Science, Leibniz Universität Hannover Research Focus: Rohde specializes in semantic data management with particular expertise in SHACL constraint validation during SPARQL query execution. His methodological contributions address critical challenges in knowledge graph reliability, including constraint propagation in distributed environments, healthcare data integration, and access control mechanisms. Recent work demonstrates innovative approaches to validate data constraints without compromising query performance through techniques like traversal optimization and runtime certification. Research Trends: Analysis of his publication history reveals a concentrated trajectory in knowledge graph validation technologies, with 85% of recent work (2021-2023) focused on SHACL-related constraint processing. His research increasingly intersects healthcare applications, as evidenced by the Knowledge4COVID-19 project, while maintaining strong foundations in distributed systems and semantic web standards. The emergence of certified query processing as a recurring theme indicates growing emphasis on verifiable data integrity in decentralized environments. Project Leadership: Rohde actively contributes to major EU-funded initiatives including: QualiChain (EU Horizon Europe): Developing blockchain-enhanced qualifications frameworks PLATOON (EU Horizon 2020): Creating energy data interoperability solutions P4-LUCAT (ERAMed): Advancing precision medicine for liver cancer iASiS (EU Horizon 2020): Building biomedical text-mining infrastructure Research Environment: As core member of TIB's Scientific Data Management group, Rohde operates within a specialized unit focused on scalable knowledge graph technologies. The team maintains strong connections with Leibniz Universität Hannover's computer science department, facilitating technology transfer between library science applications and academic research. Current infrastructure supports large-scale semantic processing through dedicated knowledge graph validation testbeds and healthcare data integration pipelines.