جستجوی استاد راهنمای دانشگاهی

Prof. Bryan Ford leads the Decentralized/Distributed Systems (DEDIS) lab at EPFL. He focuses on secure decentralized systems, including blockchain technology, privacy, and systems security. He earned his Ph.D. from MIT and held faculty positions at Yale University and EPFL. His work spans distributed consensus protocols, peer-to-peer networking, and privacy-preserving systems. Key projects include QuePaxa (timeout-free consensus), UIA (global connectivity for mobile devices), and MedCo (secure healthcare data sharing). He advises numerous PhD students and contributes to open-source projects like Bitcoin collective signing and privacy networks like Riffle. Education: Ph.D., MIT; Postdoctoral work at Yale Research interests include blockchain scalability, consensus algorithms, and cryptographic privacy. His lab develops systems like TRIP for coercion-resistant voting and F3B to mitigate blockchain front-running. His work on NAT traversal and peer-to-peer protocols (e.g., STUN/ICE) remains foundational in network architecture. He emphasizes practical, auditable security solutions such as CertiKOS and atomic cross-chain transactions (Atom). Notable contributions: CoSi (collective signing), OmniLedger (sharded blockchain), and privacy-preserving protocols like PURBs (Protected Unsealable Recursive Boxes). His lab collaborates with Swiss Post to audit e-voting systems and designs democratic cryptocurrencies like PoPCoin.

• Secure Decentralized Systems
• Blockchain Technology
• Systems Security
• +۳ مورد دیگر

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
• +۴ مورد دیگر

Mathias Fischer is Professor for Computer Networks at the University of Hamburg since December 2021, affiliated with the MIN Department of Informatics. He previously served as an assistant professor at Universität Hamburg (2016-2021), University Münster (2015-16), and held postdoctoral positions at the International Computer Science Institute/UC Berkeley (2014-15) and the Center for Advanced Security Research Darmstadt/TU Darmstadt (2012-14). His educational background includes a PhD in Computer Science from TU Ilmenau (2012) and a diploma in Computer Science from the same institution (2008). He also served as Head of Data Literacy Education in IT Support at the University of Hamburg's ISA Center. Professor Fischer's research spans critical areas of modern network infrastructure, with particular emphasis on IT and network security , resilient distributed systems , and network monitoring . His work addresses fundamental challenges in cybersecurity including botnet monitoring, intrusion detection, and critical infrastructure protection. His research group actively investigates P2P networks and develops innovative approaches to network security that balance functionality with privacy preservation. Analysis of his recent publications reveals a strong focus on privacy-enhancing technologies, network security protocols, and resilient distributed systems. His research trajectory shows increasing attention to practical implementations of security solutions for edge computing environments, digital twin networks, and time-sensitive networking applications. The work demonstrates sophisticated integration of cryptographic techniques with network architecture design to address emerging security challenges in distributed systems. Among his notable recognitions are the Claussen-Simon Competition for Universities (2019), the University Prize of the Claussen-Simon Foundation (2019), and an Outstanding Paper Award at ACSAC (2018). Claussen-Simon Competition for Universities (2019) University Prize of the Claussen-Simon Foundation 2019 Outstanding Paper Award at ACSAC (2018) Professor Fischer leads multiple significant research projects including SOVEREIGN (Technologically sovereign security monitoring), RESISTANT (Resilient zero-trust platform for aircraft), and Dynamic situational awareness for rescue teams. His research group comprises numerous doctoral and master's students working on cutting-edge network security challenges. Current projects focus on developing resilient data and AI platforms for crisis situations, security monitoring for critical infrastructures, and innovative home network security solutions. The Computer Networks research group at the University of Hamburg, led by Professor Fischer, maintains active collaborations with industry and academic partners. The group operates specialized laboratories focused on network security testing, intrusion detection systems, and resilient network architectures. Current research directions include QUIC protocol security, federated learning security, and privacy-preserving network analytics, with strong emphasis on practical implementations that address real-world security challenges.

• IT and network security
• Resilient distributed systems
• Network monitoring
• +۴ مورد دیگر

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
• +۳ مورد دیگر

Zoi Kaoudi is a researcher at the IT University of Copenhagen , specializing in Data Management , Knowledge Graphs , and Machine Learning . Her work focuses on cross-platform data processing, query optimization, and scalable systems for graph analytics. She has published extensively in venues like SIGMOD , VLDB , and ISWC , with recent contributions to Apache Wayang , DORIAN , and Space-Efficient Graph Algorithms . Her research bridges theoretical advancements with practical frameworks for data science pipelines. Collaborations include Volker Markl, Jorge-Arnulfo Quiané-Ruiz, and Ioana Manolescu. She has explored topics such as Parameter Servers , Knowledge Graph Embeddings , and RDF Data Management in the cloud. Her work emphasizes open science and system integration.

• Data Management
• Knowledge Graphs
• Machine Learning
• +۳ مورد دیگر

Lucianna Kiffer is a researcher at ETH Zurich, Switzerland, specializing in blockchain technology, distributed systems, and cybersecurity. Her work focuses on peer-to-peer networks, consensus mechanisms, and cryptographic protocols within blockchain systems. Notably, she has contributed to studies on Ethereum's architecture, including analyses of Proposer-Builder Separation and the post-Merge PoW landscape. Her research also explores network stability, latency optimization, and adversarial scenarios in decentralized systems. Her publications span conferences like CCS, FC, and SIGMETRICS, addressing topics such as Nakamoto consensus under resource constraints and strategic behavior in P2P networks. Collaborations with experts like Roger Wattenhofer and Ari Juels highlight her engagement with cutting-edge challenges in distributed systems and cryptocurrency infrastructure.

• Blockchain Technology
• Distributed Systems
• Cryptography
• +۳ مورد دیگر

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
• +۳ مورد دیگر

Paul Francis is a tenured Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Germany. His research focuses on practical data anonymization, including the development of Diffix—a robust data anonymization mechanism now part of the Open Diffix project. Previously, he co-founded Aircloak, a startup advancing these technologies. His career includes roles at Cornell University, MITRE, and Bellcore, with contributions to Internet routing (e.g., NAT, multicast protocols), P2P systems, and DHTs. Francis’s recent work emphasizes Internet privacy and ethical data practices. He has advocated for stronger privacy protections against tracking via browser technologies and participated in standards bodies like the W3C Tracking Protection Working Group. He has given keynotes on privacy and advertising, such as at CoNEXT 2011. His blog critiques industry practices in tracking and ad targeting, emphasizing the limitations of 'Do Not Track' mechanisms. Francis’s work bridges academic research with real-world applications, aiming to balance usability with privacy preservation.

• Data Anonymization
• Cyber-Physical Systems
• Distributed Systems
• +۴ مورد دیگر

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
• +۴ مورد دیگر

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
• +۴ مورد دیگر

Prof. Martin Matzner is a Full Professor at Friedrich-Alexander University Erlangen-Nuremberg, leading the Department of Digital Industrial Service Systems. Previously, he held positions as Research Assistant and Academic Rat at the University of Münster. His expertise spans Business Process Management, Service Systems, and Cyber-Physical Systems, with notable contributions to peer-to-peer charging infrastructure and collaborative consumption platforms. He completed a Habilitation (2016) and PhD (2012) in political science and business informatics. Education: Habilitation in Business Informatics (2016), PhD in Political Science (2012), Diplom in Business Informatics (2007) from University of Münster, with studies at Turku School of Economics (2005). Research focuses on digital service innovation, including projects like CrowdStrom (P2P electric vehicle charging) and smartmarket² (location-based retail solutions). Awards include the Best Prototype Award (2017) and Emerald Citations of Excellence (2015). Advised students include Christian Rest (2015 Master’s thesis on sharing platforms). Key projects include FOKUS:SE (service engineering network), RISE_BPM (EU-funded BPM innovation), and federal initiatives in e-Government (FIM project). Active in international collaborations with Brazil and Russia.

• Business Process Management
• Business Process Analytics
• Service Research
• +۳ مورد دیگر

Björn-Oliver Hartmann is a researcher at the Karlsruhe Institute of Technology (KIT), affiliated with the Faculty of Informatics and the Institute of Program Structures and Data Organization. His work focuses on distributed systems, game theory, and social network analysis. Research Areas: Network formation, peer-to-peer systems, strategic interaction, incentive mechanisms, and social network dynamics. Teaching: Served as Übungsleiter (exercise instructor) for courses including Distributed Data Storage and Software Development for Social Networks. Projects: Contributed to the SONAR project, emphasizing user-centric social network visualization.

• Computer Science
• Distributed Systems
• Game Theory
• +۳ مورد دیگر

Jan Becker is a Professor of Marketing and Service Management at Kühne Logistics University (KLU) in Hamburg, Germany. He holds a Dr. habil. and Dr. sc. pol. in Marketing from Christian-Albrechts-University at Kiel. With over 15 years of industry and consulting experience in digital transformation, his work bridges academic research and practical applications in customer management. Academic Affiliation: Kühne Logistics University (2011–present) Research Focus: Customer Relationship Management, Strategic Marketing, Service Management, Electronic Commerce Teaching: Offers courses in Consumer Behavior, Marketing, Marketing Analytics, and Nonprofit Management across bachelor, master, and doctoral programs His research explores critical areas such as: Geographic proximity effects on social influence Proactive postsales service efficiency Reward-scrounging in referral programs Outcome heterogeneity in entertainment marketing CRM implementation challenges in corporate settings Network effects in peer-to-peer systems Notable scientific awards include the 2018 Sheth/Journal of Marketing Award and the 2015 IJRM Best Paper Award. He is a regular visiting scholar at UCLA’s Anderson Graduate School of Management. Jan Becker’s industry collaborations focus on advanced analytical methods for decision-making in customer management, including churn prevention, referral program optimization, and targeting strategies. His empirical studies span telecommunications, online communities, and digital media sectors, emphasizing both theoretical rigor and practical relevance.

• Customer Relationship Management
• Strategic Marketing
• Service Management
• +۵ مورد دیگر

Andy Schürr is a Full Professor at the Institute for Data Technology within the Department of Electrical Engineering and Communication Technology at Technische Universität Darmstadt. He holds a Dr. rer. nat. in Computer Science from RWTH Aachen and has held academic positions at institutions including the University of the German Armed Forces Munich and Queen’s University (Canada). His research focuses on model-based software engineering, embedded systems, graph transformation systems, and P2P technologies. Professional Activities: Co-organizer of >20 conferences/workshops Programme Committee Member for >130 conferences Editorial board member of Software & System Modeling (since 2004) Member of steering committees for GI Conference on Modeling, ICGT, and FASE Research Interests: Model-driven development of embedded systems Visual model transformation and specification languages Integration of system engineering tools Graph transformation applications in networking and real-time systems Awards & Recognition: Listed among the most cited computer scientists globally. Grants & Funding: Active in securing research funding for model-based engineering tools, graph transformation applications, and real-time systems development. Labs/Teams: Leads TU Darmstadt’s Real-Time Systems Group , focusing on model-driven prototyping and adaptive communication systems.

• Model-based Software Engineering
• Embedded Systems
• Software Modeling Languages
• +۷ مورد دیگر

Nicholas Race is Professor of Networked Systems at Lancaster University's School of Computing and Communications, where he also serves as Associate Dean for Research in the Faculty of Science & Technology. His academic career at Lancaster spans from Research Assistant (2000-2001) to his current position as Professor (2017-present). His research focuses on developing future networking services built upon Software Defined Networks and Network Functions Virtualisation. Key areas include: Software Defined Networking for security applications and intrusion detection Network Functions Virtualisation for new networking services Quality of Experience enhancement for media streaming Network anomaly detection and remediation Wireless Mesh Networks security Professor Race leads NG-CDI, an EPSRC/BT funded Prosperity Partnership developing autonomic networks. He has been principal investigator for numerous significant projects including AI4ME (EPSRC/BBC funded), MANY, 5GRIT, INITIATE, MPAT, and several EU projects (FI-CONTENT2, STEER, GN3plus, Fed4FIRE, OFELIA, P2P-Next). His research output demonstrates a strong focus on applying SDN and NFV technologies to solve real-world networking challenges, particularly in security and media distribution. The TENNISON framework represents a significant contribution to scalable network security through distributed SDN approaches. He serves on the editorial board of Computer Communications and has held leadership roles in major conferences including as Programme Co-Chair of DE2013: Open Digital and PC Member for ACM Multimedia and Multimedia Systems (MMSys). Professor Race teaches SCC365: Advanced Networking and supervises 9 postgraduate research students working on various aspects of networked systems.

• Software Defined Networking
• Network Functions Virtualisation
• Network Security
• +۷ مورد دیگر