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Nils Ole Tippenhauer is a faculty member at the CISPA Helmholtz Center for Information Security , leading the SCy-Phy research group . His academic journey includes an Assistant Professorship at the Singapore University of Technology and Design (SUTD) (2014–2018), a PhD in Computer Science from ETH Zurich (2012), and a Diploma in Computer Engineering from Hamburg University of Technology (2007). He also holds an exchange study year at the University of Waterloo (2004–2005) supported by a DAAD scholarship. Research Interests focus on practical systems security , particularly Security of Cyber-Physical Systems Industrial Control Systems (ICS) and Industrial IoT (IIoT) Physical-Layer Security and Wireless Security Privacy-Preserving Technologies (e.g., DP3T project) Embedded Systems Security Threat Detection & Defenses His work integrates both theoretical and applied approaches, addressing vulnerabilities in critical infrastructures like water systems and power grids. Recent Publications highlight trends in Anomaly detection evasion in industrial networks Microarchitectural side-channel defenses Localization techniques in cellular networks Security analysis of ICS protocols Data-driven vulnerability assessments for robotics Cyber-physical simulation for infrastructure security Scientific Awards include Best paper at DIMVA'23 Distinguished Paper at ACSAC 2022 Best paper at CPSIOTSEC 2022 Best paper at CPSS 2017 K-H Ditze Award for diploma thesis (2007) SG Mark Institution award (2016) Runner-Up at smart energy hackathon (2013) Advising and Grants feature PhD defenses of Daniele Antonioli and Hamid Reza Ghaeini (2022), co-organizing conferences like WiSec and CPSS , and leading projects such as the National Science Experiment (NSE) with 50,000 mobile sensors in Singapore. He also contributed to the DP3T project for privacy-preserving contact tracing. Labs and Teams include the SCy-Phy research group at CISPA and the development of testbeds like SWaT (Secure Water Treatment), WADI (Water Distribution), and EPIC (Electric Power and Industrial Control) at SUTD. These platforms enable hands-on security research in realistic industrial environments.

• Cyber-Physical System Security
• Industrial Control Systems Security
• Physical-Layer Security
• +7 more

Prof. Dr. Janick Edinger is a Professor of Distributed Operating Systems at the Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Germany. He leads a research group focused on distributed, context-aware, and adaptive computing systems, with a strong emphasis on edge computing, computation offloading, and assistive technologies. Education: PhD in Computer Science, University of Mannheim Studies at National Taiwan University Studies at University of Alberta, Canada Research stays at University of British Columbia, Hong Kong Polytechnic University, and Georgia State University, USA His research explores how edge computing and computation offloading can enable efficient, privacy-preserving processing of sensor and video data close to their sources, particularly in dynamic environments. He investigates the integration of autonomous and heterogeneous systems—such as drone fleets and mobile devices—into scalable middleware platforms for real-time monitoring and decision-making in logistics and industrial operations. His work also emphasizes societal impact, contributing to accessible routing, adaptive interfaces, and crowd-sourced mapping. The recent publications reflect a strong trend in edge computing, federated learning, privacy-preserving analytics, and assistive technologies. Topics include WebAssembly-based offloading, emotion prediction via eye tracking, real-time traffic detection, and predictive maintenance in Industry 4.0, showcasing a blend of foundational systems research and applied human-centered computing. Scientific Awards: PerCom 2021 Mark Weiser Best Paper Award Best Paper Award at IEEE PerCom 2021 for 'Voltaire: Precise Energy-Aware Code Offloading Decisions with Machine Learning' Prof. Edinger actively advises students and leads research projects involving grants and collaborations. His team includes PhD candidates and researchers working on middleware, edge systems, and context-aware applications. He has served on conference program committees, such as shadow PC member for EuroSys 2021, and publishes in top venues including IPDPS, PerCom, CHIIR, and COMPSAC. Labs and Teams: He leads the Distributed Operating Systems research group at the University of Hamburg, where he mentors students and collaborates on projects involving edge computing, IoT, and adaptive systems.

• Distributed Operating Systems
• Edge Computing
• Computation Offloading
• +7 more

Steffen Bondorf is a Professor of Distributed and Networked Systems in the Faculty of Computer Science at Ruhr University Bochum, Germany. His research focuses on performance modeling and analysis of deterministic networking, particularly using network calculus to provide rigorous performance guarantees for networked systems. Dr. Bondorf received his B.Sc., M.Sc., and Dr.-Ing. (Ph.D.) in Computer Science from TU Kaiserslautern (TUK), where he was part of the distributed computer systems lab. He was the first student to enroll in a B.Sc. program at TUK before finishing secondary education. After graduation, he held positions as postdoctoral researcher, lecturer and Carl-Zeiss Fellow at TUK, research fellow at the National University of Singapore, and visiting researcher at the University of Toronto. From fall 2018 to fall 2019, he was funded by an ERCIM Alain-Bensoussan fellowship at NTNU Trondheim, Norway, and spent time at INRIA Paris. His research interests include network calculus, deterministic networking, performance modeling, computer networks, distributed systems, and P2P overlays. Dr. Bondorf's work has significantly advanced the field of network calculus, particularly in developing methods for analyzing FIFO feedforward networks, multicast flows, and P2P overlay structures. His recent research has integrated machine learning techniques with network calculus to improve analysis accuracy and efficiency, creating hybrid approaches that leverage the strengths of both methodologies. Dr. Bondorf was appointed as assistant professor at Ruhr University Bochum on October 1, 2019, becoming the university's first hire in the joint tenure-track program for the promotion of young scientists. Since December 1, 2021, he has been a tenured full professor at RUB. Carl-Zeiss Fellow ERCIM Alain-Bensoussan fellowship At RUB, Dr. Bondorf teaches Advanced Topics in Networking, Distributed Systems, Deterministic Network Calculus, and Seminar Distributed and Networked Systems. His research group develops tools and methodologies for deterministic network analysis with applications in industrial networking, real-time systems, and time-sensitive communications. His work bridges theoretical networking principles with practical implementations, contributing to the advancement of deterministic networking standards and protocols.

• Network Calculus
• Deterministic Networking
• Performance Modeling
• +4 more

Prof. Dr.-Ing. Stefan Schulte is a Full Professor at Hamburg University of Technology, leading the Institute for Data Engineering and the Christian Doppler Laboratory Blockchain Technologies for the Internet of Things (CDL-BOT). He holds a diploma in Economics and a Bachelor's in Computer Science from the University of Oldenburg, followed by a Master's in Information Technology (with Merit) from the University of Newcastle. After completing his PhD at TU Darmstadt in 2010, he held roles as Postdoctoral Researcher at TU Wien, Assistant Professor (tenure-track), and eventually Associate Professor before joining TU Hamburg in 2021. His research focuses on data engineering, blockchain technologies applied to IoT, elastic computing, and quality-of-service (QoS) aspects in smart systems. Notable contributions include work on fog computing, federated learning, and cross-blockchain interoperability. He has published over 140 papers in top-tier venues like IEEE Transactions on Services Computing and ACM Computing Surveys. Key awards include Best Paper Awards at the IEEE International Conference on Blockchain (2020) and the European Conference on Service-Oriented and Cloud Computing (2023). Prof. Schulte chairs major conferences such as the IEEE International Conference on Fog and Edge Computing (ICFEC 2025) and serves on editorial boards for journals like IEEE Transactions on Services Computing. He leads CDL-BOT, a lab exploring blockchain applications in IoT and manufacturing. His industrial collaborations include projects like SIMPLI-CITY (smart mobility) and CREMA (cloud-based manufacturing). Current research emphasizes blockchain interoperability, federated learning frameworks, and edge-AI systems. He actively reviews proposals for the German Research Foundation, EU programs, and industry initiatives.

• Data Engineering
• Blockchain Technologies
• Internet of Things (IoT)
• +4 more

Dr. Heiko Bornholdt is a Researcher in the Computer Networks group at the Department of Informatics, University of Hamburg. He is affiliated with the Faculty of Mathematics, Informatics, and Natural Sciences. His research focuses on distributed communication middleware, overlay networking, and edge computing. He holds a doctoral degree and has been with the university since 2016. Position: Research Associate / Postdoc Office: Room F-622, Vogt-Kölln-Str. 30 Contact: heiko.bornholdt@uni-hamburg.de | +49 40 42883-2332 Research Interests Dr. Bornholdt’s work emphasizes distributed systems , particularly in the context of smart cities and IoT. Key areas include: Overlay networks for edge computing Decentralized privacy-preserving systems Efficient data discovery in IoT Latency-aware network protocols Publications Overview His recent work spans 20+ publications, with significant contributions to: Edge computing middleware (e.g., software-defined overlay networks) Secure communication in untrusted environments Smart urban data spaces Awards & Grants No specific awards mentioned, but active in funded projects including the EU-GDPR compliant blockchain research. Labs & Teams Part of the Computer Networks Team led by Prof. Mathias Fischer, collaborating with researchers like Kevin Röbert and Jeetesh Gupta.

• Distributed Communication Middleware
• Overlay Networking
• P2P Networks
• +3 more

Dr.-Ing. Erik Buchmann is a leading researcher at the Institute für Programmstrukturen und Datenorganisation (IPD) of the Karlsruhe Institute of Technology (KIT) . He heads the Young Investigator Group Privacy Awareness in Information Systems and its Implications on Society , focusing on interdisciplinary research at the intersection of data privacy, sensor networks, and smart environments. Education : Diploma in Business Informatics (2002), Ph.D. in Computer Science (2006) from Otto-von-Guericke-University Magdeburg His research spans privacy-aware data management, query optimization in distributed systems, and societal implications of data protection. He has published extensively in top venues like VLDB, SIGMOD, and journals such as International Journal on Very Large Data Bases . Key contributions include frameworks for smart grid privacy (e.g., Pufferfish, FRESCO) and anonymization techniques for time-series data. Notable trends in his publications include innovations in sensor network query processing , RFID compliance , and energy-efficient data architectures . Awards include the 2012 Multidisciplinary Privacy Award and the 2006 Otto-von-Guericke-University Dissertation Prize. Erik Buchmann is actively involved in teaching courses on data protection at KIT and has organized workshops like DISN'07. He serves as an editor for journals including Distributed and Parallel Databases and participates in conference program committees. His work addresses both technical and legal dimensions of privacy, emphasizing user collaboration and transparency.

• Data Privacy
• Sensor Networks
• Smart Grids
• +3 more

Prof. Dr. Markus Esch is a faculty member at Saarland University of Applied Sciences, specializing in Software Architecture and Distributed Systems. He serves as the Head of the Distributed Systems Lab and Director of Studies for Practical Computer Science (Praktische Informatik). His research focuses on large-scale and self-organized distributed systems, cloud-native architectures, and Internet of Things technologies. Research Interests Large-scale Distributed Systems Self-organized Distributed Systems Software Architectures for Distributed Systems Cloud-native Architectures Unstructured Overlay Networks Self-Organization and Dynamical Processes Multi Agent Systems Internet of Things Academic Activities 2018–Present: Member, Program Advisory Committee for BINFO degree program at University of Luxembourg 2020–Present: Reviewer, Accreditation Agency ASIIN e.V. 2022–Present: Member, ASIIN Fachausschuss Informatik Contact Phone: +49 (0)681/5867 – 238 Email: Markus.Esch@htwsaar.de Location: htw saar, Goebenstraße 40, 66117 Saarbrücken Room: 8236

• Large-scale Distributed Systems
• Self-organized Distributed Systems
• Software Architectures for Distributed Systems
• +5 more

Martin Florian is a researcher affiliated with the Weizenbaum Institute in Berlin, Germany. He holds a PhD in Computer Science from the Karlsruhe Institute of Technology (2016). His research focuses on decentralized systems, blockchain technology, privacy-preserving mechanisms, and smart traffic systems. Key contributions include analyzing federated Byzantine agreement systems, studying NFT infrastructures, and exploring privacy in vehicular networks. His work spans cybersecurity, distributed computing, and cooperative services. Notable projects include collaborations on Ethereum peer analysis, IPFS network mapping, and pseudonymization techniques for decentralized platforms. Florian's research addresses challenges in data privacy, consensus protocols, and decentralized infrastructure scalability.

• Blockchain Technology
• Decentralized Systems
• Cybersecurity
• +3 more

Osama Abboud is a researcher affiliated with Technische Universität Darmstadt. He holds a PhD in Computer Science from the same institution (2012), focusing on quality adaptation in peer-to-peer video streaming using scalable video coding. His work spans computer networks, distributed systems, edge computing, and federated learning. Key contributions include innovations in P2P video streaming resilience, serverless federated learning optimization, and mission-critical AI systems. He has collaborated extensively with researchers like Ralf Steinmetz and Michael Gerndt, publishing in venues such as IEEE Trans. Ind. Informatics, NetSoft, and ICC. His research emphasizes practical system design for heterogeneous environments, energy efficiency, and real-time performance. Education: PhD in Computer Science (Darmstadt University of Technology, 2012). Research Interests: Peer-to-Peer Systems, Edge Computing Architecture, Federated Learning Optimization, AI-driven Network Adaptation, and Low-Power Hardware Integration. His work bridges theoretical foundations with practical implementations in distributed environments. Notable Projects: Development of Apodotiko (serverless federated learning framework), MARQ (mission-critical AI system), and contributions to edge computing architectures like Trabant and Host Bypassing. These projects aim to enhance scalability, reduce latency, and improve sustainability in distributed systems.

• Computer Networks
• Distributed Systems
• Edge Computing
• +4 more

Kevin Röbert is a Researcher and PhD Student in the Computer Networks research group at the University of Hamburg's Department of Informatics, within the Faculty of Mathematics, Informatics and Natural Sciences. He holds a Master's degree (2022) and a Bachelor's degree (2019), both from the University of Hamburg. His research focuses on privacy-preserving techniques in decentralized systems, P2P networks, and edge computing. Notable contributions include work on untrustworthy environments, encrypted endpoint security, and latency-aware edge computing protocols. Education: Master's degree in Informatics, University of Hamburg, 2022 Bachelor's degree in Informatics, University of Hamburg, 2019 Research Interests: Kevin's work spans privacy-enhancing technologies, secure edge computing systems, and decentralized network architectures. He explores topics such as data anonymization in P2P networks, real-time scheduling for edge applications, and mitigating bot automation threats in online services. Publications: His recent work includes advancements in overlay networking middleware for edge applications, dynamic access control for data sharing, and latency-optimized TLS protocols. His 2024 paper on educational reform highlights innovative pedagogical approaches in computer science education. Lab/Team: Kevin is part of the Computer Networks group led by Prof. Mathias Fischer, collaborating with researchers like Dr. Heiko Bornholdt on projects involving network security and decentralized systems.

• Privacy-Preserving Techniques
• Decentralized Systems
• P2P Networks
• +4 more

Dr. Philipp Kisters is a Research Associate in the Department of Informatics at the University of Hamburg, affiliated with the Distributed Operating Systems research group led by Prof. Dr. Janick Edinger. His work is centered on decentralized systems, smart cities, and citizen-driven data platforms, with a strong focus on privacy, scalability, and real-world urban applications. His research interests include: Smart Cities and Urban Participation Citizen Science and Distributed Sensing Peer-to-Peer and Overlay Networks Internet of Things (IoT) and Data Discovery Blockchain for Decentralized Logistics Privacy-Preserving Systems His recent publications from 2019 to 2023 reflect a consistent focus on decentralized architectures for urban data spaces, including efficient data discovery in IoT (SkABNet), real-time traffic congestion detection, urban heat island monitoring using citizen science, and dynamic routing using environmental data. These works span journals and top-tier conferences in distributed computing and smart city applications, demonstrating interdisciplinary impact across computer science, urban planning, and environmental monitoring. Scientific contributions and projects include: SANE (Smart Networks for Urban Citizen Participation) : A citizen-centric, privacy-preserving platform for urban data sharing and analysis. Future Transport Hamburg (FTH) : A blockchain-based freight exchange project funded by IFB Hamburg, aiming to decentralize logistics and assess environmental impact. He has collaborated extensively with researchers such as Prof. Dr. Janick Edinger, Heiko Bornholdt, and industry partners like Lufthansa Industry Solutions. While no formal students are listed, his role as a research associate suggests mentorship within project teams. He contributes to the UN Sustainable Development Goals, particularly SDG 9 (Industry, Innovation, Infrastructure), SDG 11 (Sustainable Cities), and SDG 3 (Good Health and Well-being). Laboratories and teams: Distributed Operating Systems Group, University of Hamburg Former involvement in the Distributed Systems group under Prof. Dr. Winfried Lamersdorf

• Distributed Systems
• Smart Cities
• Citizen Science
• +7 more

Michael Weber is a Professor of Theology at the University of Wittenberg, with a distinguished academic career spanning theology, evolutionary biology, environmental science, and computer science. His research interests include theological studies reproductive behavior in aquatic organisms water resource management structural engineering of concrete and interdisciplinary ecological modeling. His recent publications focus on AI platform orchestration, climate change impacts on lakes, and biological interactions in marine ecosystems. Notably, a 2022 special issue celebrated his 70th birthday in the field of photodynamic therapy. Key findings from his work include the role of seminal fluid proteins in post-mating behavior and optimized reservoir management strategies. Scientific awards include: Special Issue Honoree, Photodynamic Therapy Applications (2022). His advising includes PhD candidate Olof Högman (2017) in theological studies.

• Theology
• Evolutionary Biology
• Environmental Science
• +3 more

Ahmed Karmouch is a Professor at the University of Ottawa, Canada, affiliated with the College of Engineering and Computer Science. His research focuses on Network Virtualization , Software-Defined Networking (SDN) , and Context-Aware Systems , with significant contributions to Cloud Computing Resource Allocation , Programmable Data-Planes , and Overlay Networks . He has co-authored over 161 publications since 1980, emphasizing scalable infrastructure management, QoS optimization, and autonomic network design. His recent work includes machine learning integration in P4-programmable networks (2024) and survivable IaaS management with SDN (2021). Publications span IEEE Transactions and ACM journals, with frequent collaborations with Nancy Samaan, Abdallah Jarray, and Hamid Harroud. Key research themes: Network Programmability Service Specific Overlay Networks Autonomic Network Management ML for Traffic Optimization Geographically Distributed Cloud

• Network Virtualization
• Software-Defined Networking (SDN)
• Context-Aware Systems
• +4 more

Dr. Theodoros Chondrogiannis is a Post-doctoral Researcher at the University of Konstanz's Database and Information Systems group. He holds a PhD from the Free University of Bozen-Bolzano (2017) and previously worked as a postdoc there until joining Konstanz. His research focuses on route planning, graph database query processing, and spatial network analysis. He leads a DFG-funded project on multi-criteria path queries and teaches 'Graph Data Management and Analysis' annually. Education: BSc (Computer Science, University of Peloponnese, 2009), MSc (Advanced Information Systems, National Kapodistrian University of Athens, 2013), PhD (Free University of Bozen-Bolzano, 2017). Research interests include algorithm design for transportation networks, graph database systems, and geosocial network analysis. His work bridges theoretical foundations with practical applications in urban mobility and query optimization. He will assume an Associate Professor role at NTNU's Department of Computer Science (IDI) starting January 2025. Notable service roles include publicity chair for SSTD 2023 and co-chair for ACM SIGSPATIAL Student Research Competitions (2019-2020).

• Database Systems
• Graph Databases
• Route Planning
• +4 more

Prof. Hans-Arno Jacobsen is a full professor at TUM's Department of Informatics, holding the Chair of Application and Middleware Systems since 2012 via an Alexander von Humboldt Professorship. He previously worked at the University of Toronto in Computer Science and Electrical & Computer Engineering. His research integrates computer science, engineering, and information systems, focusing on middleware systems, event processing, and energy-efficient ICT solutions. Notable collaborations include work with Bell Canada, IBM, and Sun Microsystems. Education: Doctoral studies across Germany, France, and the USA, followed by postdoctoral research at INRIA Paris. His applied research explores FPGA integration into middleware architectures to enhance performance and energy efficiency. Scientific Awards: Alexander von Humboldt Professorship (2012) Research Trends: Recent publications emphasize database indexing (BE-tree), adaptive content routing, and distributed SOA architectures for business processes. His work bridges theoretical computer science with industrial scalability challenges. No listed grants or advisees are explicitly mentioned in the text, though his industry partnerships suggest significant collaborative projects. His lab focuses on middleware innovations for modern hardware environments.

• Middleware Systems
• Event Processing
• Service Computing
• +5 more