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Carsten TrinitisView profile

Professor

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +5 more

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

• Software Testing
• Model-Driven Engineering
• Middleware Systems
• +3 more

Peter J. Clarke is a researcher in the fields of software engineering and computer science education. His work focuses on software testing methodologies, model-driven engineering, and middleware systems. He has collaborated extensively with researchers such as Tariq M. King, Fábio M. Costa, and Debra Lee Davis. Clarke’s contributions span academic publications in venues like Softw. Test. Verification Reliab. , ACM Trans. Comput. Educ. , and Sci. Comput. Program. . His research emphasizes practical applications of testing tools in educational settings, integration of gamification in CS education, and the development of adaptive middleware frameworks. Clarke’s work often bridges theoretical advancements in software engineering with real-world implementation challenges. Key areas of interest include user-centric communication systems, runtime testing of microservices, and formal semantics of modeling languages. His publications reflect a consistent focus on enhancing software quality through innovative testing strategies and model-driven approaches.

• Database Systems
• Software Engineering
• Data Integration
• +3 more

Roger King is a seasoned researcher with over 40 years of contributions to computer science, particularly in database systems, software engineering, and data integration. His work spans heterogeneous database management, semantic modeling, and distributed systems, often collaborating with leading institutions like University of Colorado and Springer. 1987: Co-authored foundational paper on semantic database modeling in ACM Computing Surveys 1992: Developed FaceKit database interface design toolkit 1994: Pioneered DIRECT query facility for multiple databases Research Interests: King's work focuses on database integration , semantic interoperability , and self-adaptive systems . Notable projects include Sybil for database evolution, Cactis for object-oriented databases, and COIL mediator definition language. Key Trends: His 15 most recent publications (2024-1999) address challenges in smart data systems , autonomous systems performance , and microgrid control , reflecting sustained expertise in data semantics and system architecture.

• Telecommunications
• Wireless Communication
• Machine Learning
• +14 more

Dr. Iakovos S. Venieris is a distinguished researcher at the University of Piraeus , Department of Digital Systems , with a prolific publication record spanning over 15 years. His work focuses on telecommunications , wireless networks , and machine learning applications in network optimization and security. Research Interests Telecommunications and Wireless Network Design Intelligent Metasurfaces (STARS) in 5G/6G Systems Edge Computing and DNN Inference Optimization Privacy-Aware Network Monitoring and Access Control Particle Swarm Optimization in Network Topology Context-Aware Systems and Semantic Rule Injection Recent Trends : His 2024–2025 publications emphasize stacked intelligent metasurfaces for MIMO networks, ML-driven eavesdropper detection in IIoT, and dynamic temporal encodings for IoT security. Earlier works delve into privacy legislation enforcement (2007) and adaptive QoS via neural networks (2006). Collaborations : Regular co-author with Dimitra I. Kaklamani , Symeon Chatzinotas , and Stylianos I. Venieris , often published in IEEE Transactions on Vehicular Technology, Wireless Communications, and Access.

• Dependability
• Fault Tolerance
• Distributed Systems
• +7 more

Lukas Pirl is a researcher at the Hasso Plattner Institute (HPI), University of Potsdam, working within the Department of Operating Systems and Middleware. His research focuses on dependability, fault tolerance, and experimental assessments of distributed systems with particular applications in railway technology and IoT systems. His research interests span multiple domains including: Dependability and fault tolerance architectures & protocols Experimental assessments using software fault injection Environmentally aware computing and information management Symmetric peer-to-peer systems and storage operating systems Railway digitalization and safety-critical systems Lukas's recent publications demonstrate a strong focus on applying distributed systems research to railway technology. His work spans from digital train control systems (FlexiDug project) to railway crossing safety (Digital St. Andrew's Cross), and from blockchain applications in railway systems (RailChain, ZugChain) to IoT testing methodologies. A significant portion of his research involves using SUMO for railway simulations and developing test automation frameworks for railway components, showing an evolution from general distributed systems research toward specialized applications in critical infrastructure. He has co-supervised numerous Master's theses at HPI, working with students on topics ranging from railway simulation architectures to blockchain implementations for railway systems. His teaching activities include serving as a teaching assistant for courses on distributed systems, embedded operating systems, and trends in operating systems across multiple semesters. Lukas is actively involved in several major research projects: FlexiDug : Investigating reuse of rail infrastructures in former brown coal mining areas, focusing on software architectures for dependable digital train control and signaling systems RailChain : Exploring distributed ledger technologies for the railway sector with focus on timing predictability and resource constraints DiAK : Digitalization of railway crossings for increased safety through bridging V2X and C-V2X technologies Rail2X : Investigating vehicle-to-everything technologies for the railway sector with focus on wireless technology assessments

• Parallel and Distributed Systems
• High Performance Computing
• GPU Programming
• +9 more

Prof. Dr. Sergei Gorlatch is a full professor at the University of Münster, Germany, in the Department of Mathematics and Computer Science, where he holds the Chair of Practical Computer Science (Parallel and Distributed Systems) within the Institute of Computer Science. He has been a leading figure in high-performance and parallel computing since joining the university in 2003. University: University of Münster School: Department of Mathematics and Computer Science Department: Institute of Computer Science Academic Rank: Professor His research focuses on algorithm and software development for modern computer systems, particularly in parallel and distributed computing, high-performance computing (HPC), GPU-based systems, cloud and grid computing, and performance optimization. His work bridges theoretical formal methods and practical applications, especially in real-time online interactive systems such as online games and simulations. He has pioneered frameworks like SkelCL, dOpenCL, and the Real-Time Framework (RTF) to simplify parallel programming and improve performance portability. The recent publications (2020–2024) reflect a strong trend in GPU programming, performance optimization, formal verification, and distributed systems. Key themes include the development of safe and high-level GPU languages (e.g., Descend), autotuning and model checking for performance, multi-cloud orchestration, and performance modeling of legacy and real-time systems. His work often combines compiler techniques, functional programming, and systematic transformations to achieve efficient and portable code. Best Poster Award – PUMPS+AI, 2019 Best Paper Award – CGO, 2018 Alexander von Humboldt Research Fellowship, 1991 Prof. Gorlatch has supervised numerous students and researchers, many of whom are frequent co-authors on his publications. He has led multiple funded projects from DFG, EU (e.g., CoreGrid, MONICA), and industry (e.g., NVIDIA Graduate Fellowship). His work includes both theoretical contributions (e.g., algorithmic skeletons, formal verification) and applied systems development, demonstrating a strong record of advising, grant acquisition, and interdisciplinary collaboration. He is actively involved in several research labs and teams at the University of Münster, particularly those focused on parallel computing, GPU programming, and real-time systems. His group develops high-level programming models and tools to make parallel computing more accessible and efficient across diverse architectures.

• Artificial Intelligence
• Software Engineering
• Industrial Internet of Things
• +4 more

Christian Severin Sauer is a researcher at the Software Systems Engineering (SSE) group within the Institute of Computer Science at the University of Hildesheim . His work focuses on integrating Artificial Intelligence (AI) with Industrial Internet of Things (IIoT) platforms, particularly in Industry 4.0 applications. He specializes in Case-Based Reasoning (CBR) systems, Self-Organizing Systems , and MLOps for industrial contexts. Education : PhD in Computer Science from the University of West London (2016). Key Projects : DevOpt (controlled emergent systems), IIP-Ecosphere (AI-driven IIoT platforms), HAISEM-Lab (hardware-optimized AI applications). His research explores hybrid control paradigms combining centralized and distributed systems , with applications in smart energy grids and cyber-physical production systems . He has co-authored 15+ papers on topics like performance evaluation of BaSyx middleware , AI in Industry 4.0 , and knowledge formalisation for industrial processes . Recent work includes best practices for MLOps and federated learning in IIoT platforms . Collaborations with industry leaders like Siemens AG , pdv-software GmbH , and Phoenix Contact highlight his commitment to bridging academic research with real-world applications. He actively contributes to open-source tools like myCBR and IIP-Plattform, emphasizing data literacy and experience mining in industrial ecosystems.

Axel KüpperView profile

Professor

• Decentralized Systems
• Blockchain Technology
• Distributed Ledgers
• +7 more

Professor Axel Küpper serves as the Head of the Chair for Service-centric Networking at the Technical University of Berlin (TU Berlin) and Telekom Innovation Laboratories (T-Labs), a position he has held since December 2009. His endowed professorship is funded by Deutsche Telekom AG, highlighting the industry-academic partnership in his research domain. His academic journey includes a habilitation in 2006 from Ludwig Maximilian University of Munich (LMU Munich) with the thesis "Location-based Services - Middleware and Applications," a doctorate (Dr. rer. nat.) in 2001 from RWTH Aachen University with the dissertation "Nomadic Communication in Converging Networks," and undergraduate studies in Computer Science at RWTH Aachen University from 1990-1996 with a minor in Economics. Prof. Küpper's research spans cutting-edge domains in networking and distributed systems. His work focuses on Decentralized and Distributed Systems, Blockchain Technology, Distributed Ledgers, Digital Identities, AI Agents, Cloud Computing, Business Processes, Mobile Computing, and Next Generation Mobile Communication Networks (5G and 6G) . His recent publications demonstrate a particular emphasis on decentralized identity solutions for future mobile networks, bridging theoretical frameworks with practical implementations. His publication trend from 2021-2024 reveals a concentrated research focus on decentralized identity management within next-generation networks. Over 70% of his recent work centers on Decentralized Identifiers (DIDs) and Self-sovereign Identity (SSI) applications for 6G networks, blockchain integration for secure communications, and privacy-preserving techniques for mobile services. This research trajectory positions him at the forefront of identity solutions for future telecommunications infrastructure. Prof. Küpper maintains regular consultation hours every Wednesday from 12:00 to 1:00 p.m. at TU Berlin, demonstrating his commitment to academic engagement. His laboratory work is centered around the Chair for Service-centric Networking in collaboration with Telekom Innovation Laboratories, creating a unique environment where academic research directly informs industry innovation in telecommunications.

Manfred HauswirthView profile

Professor

• Distributed Systems
• Internet of Things (IoT)
• Stream Processing
• +4 more

Prof. Manfred Hauswirth is the Managing Director of Fraunhofer Institute for Open Communication Systems (FOKUS) and holds the Chair for Open Distributed Systems at Technical University of Berlin. His research focuses on distributed systems, IoT, stream processing, quantum computing, and blockchain. He has held roles including Vice Director at Digital Enterprise Research Institute (DERI) and professor at National University of Ireland, Galway. He leads multiple strategic initiatives, including the Fraunhofer Quantum Technologies Research Field and the Weizenbaum Institute. His work bridges academia and industry, emphasizing digitalization, quantum computing, and IoT. Education: Dipl.-Ing. (1993), Dr. techn. (1999) in Computer Science from Vienna University of Technology. Postdoctoral work at École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: Prof. Hauswirth’s work spans distributed systems, semantic web technologies, quantum algorithms, and IoT edge computing. He emphasizes real-world applications like smart cities, autonomous driving, and secure data management. Recent trends in his publications include quantum programming frameworks (e.g., Qrisp), scalable graph distillation, and edge-based AI systems. Awards: Not explicitly listed, but his work has been recognized through leadership roles in IEEE, ACM, and Fraunhofer committees. Advising & Grants: Active in funding initiatives like the Berlin Institute for Learning and Data (BIFOLD) and Einstein Center Digital Future (ECDF). Leads projects on quantum benchmarking, energy flexibility markets, and semantic stream processing. Labs/Teams: Directs the Fraunhofer High Performance Center for Digital Networking and chairs the Quantum Computing Competence Network, integrating interdisciplinary teams across quantum computing, IoT, and AI domains.

Bernhard RabeView profile

Researcher

• Embedded Systems
• Mobile Systems
• Distributed Systems
• +7 more

Bernhard Rabe is a researcher at the Hasso Plattner Institute (HPI), University of Potsdam, affiliated with the Professorship for Operating Systems and Middleware. He has been actively involved in research and teaching since 2002, focusing on embedded and mobile systems, distributed control labs, and scripting languages. His research interests span embedded systems, mobile computing, cloud software quality, remote laboratories, and .NET technologies for constrained environments. He has contributed significantly to the design and optimization of self-contained CLI assemblies and real-time control in distributed lab environments. The publication trends show a consistent focus on distributed systems, remote experimentation, and software architecture for embedded and cloud platforms. His work bridges academic research with practical applications in e-learning and industrial control systems. Bernhard Rabe has served in organizational and editorial roles for several workshops, including VIRTUAL-LAB and WoRD, and has reviewed for conferences in pervasive technologies and e-learning. He has co-authored technical reports and proceedings, contributing to the academic community through knowledge dissemination. He has contributed to multiple research projects such as the Distributed Control Lab, 64-Bit Laboratory, Lego.NET, and Vet-Trend, demonstrating a strong engagement with applied computing and system integration.

• Real-Time Systems
• Operating Systems
• Embedded Systems
• +7 more

Björn B. Brandenburg is a tenured faculty member at the Max Planck Institute for Software Systems (MPI-SWS), where he leads the Real-Time Systems Group. His role is equivalent to an associate professorship in the US system, and he is deeply engaged in both theoretical and practical aspects of real-time computing. Max Planck Institute for Software Systems (MPI-SWS), Kaiserslautern, Germany PhD, University of North Carolina at Chapel Hill (2006–2011) MSc, Technische Universität Berlin (TU Berlin, 2003–2006) His research centers on real-time systems , operating systems , and embedded systems , with a focus on combining formal analysis methods and systems building to create robust, analyzable, and efficient systems. He is particularly interested in work that bridges theory and practice, such as formally verified schedulability analysis and dynamic model extraction from real systems. The 15 most recent publications reflect a strong trend toward mechanized verification (especially using Coq/Rocq in the PROSA project) and real-world applicability (e.g., Linux, ROS 2). Key themes include response-time analysis, scheduling theory, model extraction, and formal foundations for real-time principles. The work spans from abstract theoretical frameworks to concrete tools like LiME and LITMUS-RT. His scientific recognition includes: ERC Starting Grant (TOROS, 2018) ACM SIGBED Early Career Award (2018, inaugural) Multiple Best/Outstanding Paper Awards at RTSS, RTAS, ECRTS, EMSOFT Fulbright and Klaus Murmann Fellowships ACM Future of Computing Academy (2017, inaugural class) Distinguished Dissertation Awards (EDAA, CGS/ProQuest, UNC) He has advised numerous PhD and master’s students, many of whom have secured academic positions or industry research roles. He has received significant research funding, including the ERC Starting Grant and bilateral ANR-DFG grants. His leadership extends to organizing major conferences (e.g., PC Chair of RTSS 2025, ECRTS 2021) and editorial roles (LITES, former associate editor for ACM TECS). He actively contributes to the open-source research ecosystem through tools like PROSA, LiME, LITMUS-RT, and SchedCAT. He leads the Real-Time Systems Group at MPI-SWS, which focuses on the PROSA and LiME projects. The group brings together systems hackers and formal provers to advance the state of the art in analyzable real-time systems. He collaborates with institutions such as INRIA, ONERA, and TU Braunschweig through funded projects.

Tobias HeerView profile

Researcher

• Mobile Communications
• Network Security
• Distributed Systems
• +6 more

Dr. Tobias Heer is a researcher at the Chair of Communication and Distributed Systems at RWTH Aachen University . His academic work focuses on mobile communications, network security, and distributed systems, with a particular emphasis on the Host Identity Protocol (HIP) and its applications in cooperative networks. Education : Diplom-Informatiker (MSc equivalent) in Computer Science from the University of Tübingen (2006), PhD from RWTH Aachen University (2012). Research interests include end-host mobility , network security , distributed hash tables (DHTs) , and security mechanisms for the Internet of Things (IoT) . His publications span wireless mesh networks, HIP extensions, and security protocols for collaborative systems. Recent works highlight trends in cooperative networking , secure identifier resolution , and mobility-aware DHTs , often addressing challenges in Wi-Fi sharing and lightweight authentication . Scientific Awards : KuVS Prize for Best Diploma Thesis (2007), FIfF Student Award (3rd place) (2011). He has advised multiple theses at RWTH Aachen University, including research on protocol orchestration , secure Wi-Fi sharing , and lightweight authentication for HIP. His work is closely tied to the Internet Engineering Task Force (IETF) and collaborations in network security standardization.

Andreas MautheView profile

Professor

• IT and Data Security
• Cyber-Physical Systems
• Network Resilience
• +3 more

Prof. Dr. Andreas Mauthe is a Professor at the University of Koblenz, affiliated with Department 4 (IT and Data Security). He leads research in cybersecurity, network resilience, and multimedia systems. His work spans cyber-physical systems, adaptive streaming, and smart grid technologies. He has advised numerous research assistants and contributes to projects like Fogbanks and Tectons. Research interests focus on IT security , data privacy , and resilient network design . Recent work addresses challenges in adaptive content delivery, malware detection in cloud environments, and quality-of-experience (QoE) optimization in multimedia systems. Key contributions include frameworks for security cost modeling in cyber-physical systems and novel approaches to decentralized anomaly detection. He collaborates on interdisciplinary projects involving IoT, P2P systems, and emergency communication networks. Publications emphasize empirical studies and system prototyping, such as the Juno middleware for adaptive streaming and the PReSET toolset for network resilience evaluation.

• High-Performance Computing
• Scientific Workflows
• Distributed Computing
• +14 more

Justin M. Wozniak is a computational scientist at Argonne National Laboratory’s Mathematics and Computer Science Division within the Computing, Environment and Life Sciences directorate. He is a key contributor to advanced scientific workflow systems such as Swift/T and Parsl, enabling scalable, distributed, and many-task computing for data-intensive science. His work supports major initiatives in cancer research (CANDLE), epidemiological modeling, and exascale computing (ExaWorks). He collaborates extensively with leading researchers including Ian T. Foster, Michael Wilde, and Kyle Chard. His research focuses on high-performance computing, scientific workflows, distributed systems, and machine learning applications in science. He has pioneered techniques in workflow automation, fault tolerance, in-situ data analysis, and performance optimization. His work enables robust, scalable execution of complex computational pipelines across heterogeneous environments, from supercomputers to cloud platforms. His recent publications (2021–2025) emphasize workflow interoperability, resilience, benchmarking, and applications in cancer and epidemic modeling. Themes include automated model comparison, job management portability (PSI/J), adaptive workflow steering, and exascale-ready workflow toolkits. These works reflect a strong trend toward reproducibility, scalability, and real-world scientific impact. Justin M. Wozniak has no listed scientific awards in the provided text. However, his leadership in major DOE-funded projects and high-impact publications in top venues (SC, HPDC, e-Science) underscores his significant contributions to computational science. He has mentored or collaborated with numerous researchers, though specific advisees are not listed. His work is supported by large-scale computing grants and initiatives such as the ExaWorks project and CANDLE, which aim to accelerate scientific discovery through advanced computing infrastructure. He contributes to open science through tools like Parsl and Swift/T, which are widely used in the scientific community. He is a core developer in the ExaWorks ecosystem and contributes to workflow frameworks that integrate with AI/ML pipelines, containerization, and real-time data analysis. His work on Braid-DB and provenance tracking supports AI-driven science with full reproducibility. These efforts are central to modern computational laboratories aiming for autonomous, data-intensive discovery.

Stefan GeislerView profile

Professor

• Human-Machine Interaction
• Natural User Interfaces
• Usability Engineering
• +6 more

Stefan Geisler is a Professor at Ruhr West University of Applied Sciences since 2010. He holds the professorship for Applied Computer Science / Human-Machine Interaction and serves as Program Director for the Human-Technology Interaction program. Since 2016, he has led the Positive Computing Research Institute , contributes to the Intelligent Mobility research program , and directs the Media and Interaction Department in the North Rhine-Westphalian doctoral program. Research Focus: Human-Machine Interaction (HMI), Natural User Interfaces (NUI), Usability Engineering, Automotive HMI, and Intelligent Mobility. Projects: Golden Rules in Automotive HMI, PARCURA (smart glasses in hospitals), UsAHome (home HMI systems), BMBF-funded AHA project (safety-critical interfaces), and intercultural/intergenerational innovation development. Collaborations: FH Struktur, IQPC Conference, CAMO network, and North Rhine-Westphalian doctoral program. Teaching: Covers the entire usability engineering lifecycle, emphasizing user testing integration and intuitive interface design. Publication Trends: Focus on automotive HMI optimization, gesture-based interaction, user experience in mobility systems, and human-centered design for safety-critical applications. Subfields include driver assistance systems, natural user interfaces in automated vehicles, and usability testing methodologies. Leadership: Directs the Positive Computing Research Institute and the Media and Interaction Department. Supervises doctoral research in intercultural innovation and automotive NUI development.