Volker Roth is a Professor in Computer Science at Freie Universität Berlin, heading the Secure Identity Research Group since 2009. He has held positions as Senior Researcher at FXPAL (Palo Alto), Visiting Professor at the Peter Kiewit Institute (University of Nebraska at Omaha), CTO of OGM Laboratories (Omaha), Senior Researcher and Deputy Department Head at Fraunhofer Gesellschaft, and Postdoc at ICSI (Berkeley). He earned his Dr.-Ing. and Dipl.-Inform. from Technische Hochschule Darmstadt. Education: Dr.-Ing. (PhD), Dipl.-Inform. (M.Sc.) in Computer Science from TU Darmstadt His research focuses on privacy and security in information systems , emphasizing the psychological acceptability of security mechanisms . Key themes include applied cryptography , human-computer authentication , and usable security . He designs security mechanisms that are simple but effective and function without a common root of trust. His recent work analyzes email encryption adoption over 27 years (81M+ emails) and explores cryptocurrency wallet usability , touch authentication , and shoulder surfing defenses . He has developed privacy-preserving data collection pipelines and contributed to standards in key management, email security, and mobile authentication. Scientific awards include: Best Paper at MobileHCI 2016 Honorary Mention at CHI 2021 INI-GraphicsNet Best System Paper Award 2006 Best Student Paper at NSDI 2004 Volker Roth teaches computer science and leads research in secure identity systems. His consultation hours are Tuesdays at 18h via Webex, with contact details available on his personal page .
Olivier Bonaventure is a Full Professor of Computer Science at Université catholique de Louvain (UCL), where he leads the IP Networking Lab within the Department of Computing Science and Engineering at the Louvain School of Engineering. With over three decades of experience in networking research, he has established himself as a leading figure in Internet protocol design and implementation. His research focuses on: Transport layer protocols including Multipath TCP and QUIC Protocol extensibility using eBPF technology BGP routing protocol innovations Network security and performance optimization Open educational resources for computer networking Professor Bonaventure's recent work centers on making Internet protocols more extensible through eBPF integration, enabling faster innovation cycles beyond traditional standardization processes. His research has practical applications in hybrid access networks, smartphone connectivity, and cloud infrastructure. His notable achievements include: IEEE INFOCOM'2007 best paper award USENIX NSDI Community award (2012) Open-textbook award from Saylor Foundation (2012) Conext'21 community award for TCPLS 2021 Applied Networking Research Prize for xBGP He has held significant leadership positions including Education Director for ACM SIGCOMM (2010-2016), Editor-in-chief of ACM SIGCOMM Computer Communication Review (2016-2020), and department head at UCL. His educational contributions include the widely adopted open-source textbook "Computer Networking: Principles, Protocols and Practice" and several influential courses at UCLouvain. He leads a research team that spans multiple projects including Multipath TCP deployment, QUIC extensions, and the pluginized protocols research agenda, with publications appearing regularly in top networking conferences and journals.
Nirmala Shenoy is a Professor in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). She holds a BE/ME from the University of Madras (India) and a Ph.D. in Computer Science from the University of Bremen (Germany). Her research focuses on simplifying network operations, protocol efficiency, and security in data center networks (DCNs) and mobile ad hoc networks (MANETs). She has pioneered the Meshed Tree Protocol (MTP) for dynamic connectivity challenges and the Expedited Internet Bypass Protocol (EIBP) for scalable routing. Research Interests: Network Protocol Simplification Data Center Architecture MANET Clustering Solutions Non-IP Solutions for Security Energy-Efficient Networks Current Projects include: MR-MTP: A novel protocol for folded-Clos topology DCNs, replacing BGP/ECMP/BFD with auto-configuration and enhanced security. EIBP: A BGP/OSPF replacement protocol demonstrating superior performance in FABRIC testbeds. MTP Security: Non-IP layer 3 protocols mitigating IP-based vulnerabilities in dynamic networks. Teaching includes courses on Wireless Networking, Network Services, and Advanced Routing/Switching. Her work has been funded by NSF and defense organizations. She actively collaborates with industry and academia to advance next-generation network frameworks.
Dr. Vahid Heydari Fami Tafreshi is a Senior Lecturer and Cybersecurity Course Director at Staffordshire University's London Digital Institute. With a PhD in Network Security from the University of Surrey, he leads BSc and MSc Cybersecurity programs while teaching across networking and security modules. His research focuses on Internet Protocols & Architectures, Network Forensics, and IoT Security, evidenced by publications in IEEE, Elsevier, and ZTE Communications. Research interests center on securing next-generation networks through innovations in: Secure packet forwarding architectures IoT authentication frameworks MANET security protocols Software-defined networking security Publications demonstrate consistent focus on practical network security solutions, with recent work exploring AI applications in vulnerability testing and ontology-based supply chain security. Earlier research established foundations in VoIP security, satellite network cryptography, and Byzantine fault tolerance for routing systems. Professional activities include supervision of PhD candidates and examining theses, with industry collaborations spanning Airbus Group, Royal Air Force, and NHS organizations. As Fellow of the Higher Education Academy, he develops cybersecurity curricula for both traditional and apprenticeship programs.
Xingang Shi is a Professor in the Department of Computer Science and Technology at Tsinghua University's School of Information Science and Technology. With over 126 publications spanning from 2006 to 2025, he maintains an active and influential research program in computer networking, with recent expansion into quantum network optimization. His work consistently appears in top-tier venues including INFOCOM, IEEE/ACM Transactions on Networking, and SIGCOMM. Dr. Shi's research focuses on network security, software defined networking, traffic engineering, and network anomaly detection. His recent work shows increasing emphasis on quantum network optimization and advanced security verification techniques. He has developed innovative approaches to routing protocols, congestion control, and inter-domain routing analysis, with practical applications in real-world network infrastructure. His publication trends reveal a steady evolution from traditional networking topics toward more sophisticated security and optimization frameworks. The 15 most recent publications demonstrate strong integration of machine learning techniques with networking fundamentals, particularly in anomaly detection and traffic engineering. His work increasingly addresses quantum networking challenges while maintaining strong contributions to conventional network security and performance optimization. As a leading researcher in his field, Dr. Shi has made significant contributions to network verification methodologies and security protocol testing frameworks. His recent papers on model checking-based security testing and proactive network policy verification represent important advances in ensuring network reliability and security. Through his extensive collaboration network (particularly with Zhiliang Wang, Xia Yin, and Han Zhang), Dr. Shi has built a productive research ecosystem that bridges theoretical networking concepts with practical implementation challenges. His work on quantum network optimization represents an emerging frontier in his research portfolio.
Michael Waidner is Professor of Computer Science at Technische Universität Darmstadt and Director of the Fraunhofer Institute for Secure Information Technology (SIT). He founded and directs the National Research Center for Applied Cybersecurity ATHENE. His research focuses on practical cybersecurity challenges including internet infrastructure security, cloud vulnerabilities, and cryptographic protocols. Research highlights: Internet infrastructure security (RPKI, DNSSEC) Cloud platform vulnerabilities Cryptographic protocol analysis Network attack mitigation Industrial control system security Recent work addresses vulnerabilities in resource public key infrastructure (RPKI), cloud resource management, and cross-layer network attacks. His publications demonstrate a strong focus on identifying and mitigating practical security weaknesses in critical internet infrastructure and emerging technologies.
Professor Martin Reed is a Professor and Deputy Head of the School of Computer Science and Electronic Engineering at the University of Essex. His academic career spans over two decades, with significant contributions to computer networking and network security research. He has played a key leadership role in curriculum development for the school, merging the curricula of two former departments into the current structure. Martin Reed earned his PhD from the University of Essex in 1997 and completed his BEng (1st Class) with an Industrial Year at BBC Research Department from the University of Surrey in 1989. His educational background provided a strong foundation for his subsequent research career in networking technologies. Professor Reed's research focuses on computer networking and network security, with particular emphasis on Internet of Things security, Software Defined Networking (SDN) security, Information Centric Networking, and multimedia transmission over networks. His work bridges theoretical research with practical applications, addressing real-world challenges in network infrastructure. He has supervised numerous PhD students who have gone on to contribute to these fields, and his research has evolved to address emerging challenges in networked systems as technology has advanced. Analysis of Professor Reed's recent publications reveals a strong focus on applying artificial intelligence and machine learning techniques to network security challenges, particularly in the context of Software Defined Networking and Internet of Things environments. His work demonstrates a progression from traditional network security approaches to more sophisticated, AI-driven solutions that can adapt to evolving threats. There's also a clear trend toward addressing security challenges in distributed and edge computing environments, reflecting the changing landscape of networked systems. Professor Reed has successfully secured funding from multiple prestigious sources including the European Commission, Innovate UK, and British Telecommunications. His grants portfolio demonstrates his ability to translate theoretical research into practical applications with industry relevance. He has led projects focused on network security, information-centric networking, and IoT security, often collaborating with industry partners to ensure real-world applicability of research outcomes. As an academic supervisor, Professor Reed has guided numerous PhD students through their research journeys, with recent completions focusing on topics like IoT security, SDN security, and information-centric networking. His supervision record spans over a decade, showing consistent engagement with emerging research areas as the field has evolved. He also serves as an external examiner for undergraduate and postgraduate programs at multiple UK universities, contributing to academic quality assurance across the sector.
David Guzman is a researcher at the Technical University of Munich (TUM) in the Department of Informatics, specifically working within the Chair of Connected Mobility (I11). His research focuses on distributed systems, internet decentralization, and consensus protocols. He teaches courses on Future Internet Protocols, Decentralization and Consolidation, and Internet Measurements. Dr. Guzman received his education in Information Technology from Technische Universität Berlin and Sorbonne Université, following an electronics engineering degree. His professional journey includes work at Huawei Research, the Information Theory Group at Freie Universität Berlin, the Ministry of Telecommunications, and the Central Bank of Ecuador where he contributed to the development of Ecuador's first Central Bank Digital Currency (Dinero Electrónico). His research interests center around the decentralization of the internet, distributed systems and consensus mechanisms, and multicast randomized protocol design. Guzman's work explores how network infrastructure can better support distributed consensus systems, with particular focus on improving communication efficiency, reducing latency, and ensuring finality in consensus processes. His research bridges theoretical networking concepts with practical implementations in blockchain and distributed ledger technologies. Analysis of Guzman's publication record reveals a strong focus on the intersection of networking infrastructure and distributed consensus systems. His recent work examines how multicast communication paradigms could improve the efficiency of permissionless distributed consensus at internet scale, addressing issues of communication cost, performance delays, and lack of finality that plague current peer-to-peer approaches. His research trajectory shows increasing specialization in network support for blockchain and distributed ledger technologies. Dr. Guzman has made significant contributions to the Internet Engineering Task Force (IETF), authoring the Internet-Draft 'Multicast Applicability for Distributed Consensus Systems' which proposes novel approaches to improving distributed consensus through network-level support. As part of the Connected Mobility research group at TUM, Guzman collaborates with Professor Jörg Ott and other researchers on advancing the state of internet protocols, particularly in the areas of decentralization and distributed systems. His work has practical implications for blockchain technologies, internet infrastructure, and the future evolution of decentralized networks.
Ioana Alexandrina Livadariu is a Research Scientist at the Center for Resilient Networks and Applications within Simula Metropolitan, affiliated with Simula Research Laboratory. Her work focuses on critical internet infrastructure analysis, particularly IPv6 adoption, network security, and geolocation technologies. Recent research highlights include: Investigating Forward-Confirmed reverse DNS in email authentication Tracking submarine cable deployments through network measurements Analyzing geofeed accuracy for IP geolocation Mapping Twitter activity during political transitions Assessing IPv4/IPv6 routing stability Her scientific contributions appear in major conferences like INFOCOM, PAM, and IMC, with a focus on network resilience and security protocols. Current projects examine: RPKI practices at IXPs MANRS/ISO27001 security framework gaps Country-level IP geolocation accuracy Multiconnectivity in IP networks Ioana has collaborated extensively with researchers across multiple institutions, contributing to network measurement methodologies and infrastructure analysis.
Laurent Vanbever is an Associate Professor at ETH Zürich's Department of Information Technology and Electrical Engineering and heads the Computer Engineering and Networks Lab. His research focuses on networking systems, with a strong emphasis on network security, routing protocols, software-defined networking (SDN), and distributed systems. He explores topics such as BGP convergence, energy-efficient router designs, and mitigating routing attacks on cryptocurrencies. His work bridges theoretical advancements with practical implementations, addressing challenges in network scalability, resilience, and sustainability. Key research areas include network verification, programmable packet processing (P4), and the security of decentralized systems like blockchain. Recent projects analyze transient forwarding anomalies, SDN-based network optimizations, and energy consumption in ISP networks. His contributions to network measurement and control plane innovations have significant implications for Internet architecture and operational practices. Vanbever actively publishes in top-tier conferences/journals and collaborates on open-source networking tools. His lab develops frameworks to enhance network performance and security, such as verifying link loads and mitigating BGP hijacks. Current efforts include exploring energy-efficient network designs and safeguarding cryptocurrency infrastructure against routing vulnerabilities.
Yixin Sun is an Anita Jones Career Enhancement Assistant Professor in the Department of Computer Science and an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Virginia's School of Engineering and Applied Science. Their research focuses on network security and privacy, including routing security, anonymity systems, and network attacks and defenses. Sun holds a B.A. from the University of Virginia (2013) and a Ph.D. from Princeton University (2019). Research interests span critical areas such as TLS and DNS security, IoT device vulnerabilities, connected vehicle systems, and privacy-preserving protocols like those in the Tor network. Their work addresses real-world challenges, such as securing internet infrastructure against routing attacks and enhancing anonymity in dynamic network environments. Recent publications explore topics like RPKI-based Tor relay selection, Mutual TLS certificate configurations, and Bluetooth traffic interception from health devices. Despite no explicitly listed scientific awards, Sun’s contributions to network security have advanced methodologies for detecting malicious DNS activities, securing vehicular networks, and improving threat prioritization systems. Their dual appointments reflect expertise bridging computer science and electrical engineering, emphasizing interdisciplinary approaches to cybersecurity.
Daniel Holcomb is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, part of the College of Engineering. He specializes in secure and reliable embedded systems, with research interests spanning embedded systems security, hardware security, formal verification, VLSI design, and cryptography. Education : B.S. Electrical & Computer Engineering, University of Massachusetts (2005) M.S. Electrical & Computer Engineering, University of Massachusetts (2007) Ph.D. Electrical Engineering and Computer Sciences, University of California, Berkeley (2013) His research focuses on mitigating hardware vulnerabilities in FPGAs and chiplet-based systems, including countermeasures against side-channel attacks, voltage attacks, and IP theft via reverse engineering. He has contributed to the development of secure design methodologies, PUF-based authentication, and fault-resistant cryptographic implementations. His publications highlight advancements in FPGA security, such as defeating memory protection units (MPUs), preventing trojan insertion during fabrication, and mitigating power distribution attacks in multi-tenant environments. Holcomb is an active member of IEEE and Tau Beta Pi Honor Society. Labs & Teams : His work aligns with the College of Engineering’s research strengths in hardware security, including collaborations with labs focused on embedded systems and VLSI design.
Jennifer Rexford is the Gordon Y.S. Wu Professor of Engineering and Provost of Princeton University. She holds a joint appointment in the Department of Computer Science within the School of Engineering and Applied Science. Previously, she served as Chair of the Computer Science Department from 2015 to 2022 and worked at AT&T Labs—Research from 1997 to 2005. She earned her BSE in Electrical Engineering from Princeton University in 1991 and her PhD in Electrical Engineering and Computer Science from the University of Michigan in 1996. Her research focuses on computer networking, with an emphasis on enhancing network security, scalability, and trustworthiness. Key areas include software-defined networking (SDN), network architecture evolution, and mitigating cybersecurity threats. She co-authored influential books such as Web Protocols and Practice and The Real Internet Architecture , and has contributed to foundational research on network telemetry, BGP security, and programmable data planes. Rexford has received numerous accolades, including the ACM Grace Murray Hopper Award, ACM SIGCOMM Lifetime Contribution Award, and IEEE Alexander Graham Bell Medal. She is a Fellow of the ACM and IEEE, and a member of the National Academies. Her recent work addresses challenges like global BGP attack mitigation and scalable video conferencing solutions using SDN principles. As Provost, she oversees academic affairs and continues to advise students, including PhD candidate Sophia Yoo. Her affiliations include the Center for Information Technology Policy (CITP), the Keller Center, and the Princeton Environmental Institute (PEI).
Olivier Gauwin serves as an Assistant Professor at the University of Bordeaux, holding dual roles in academic instruction and research. He teaches within the Computer Science Department at the University Institute of Technology (IUT), while conducting research as a core member of LaBRI's Numeric and Sustainability team. His institutional presence spans both the IUT campus in Gradignan (office 111) and LaBRI's research facilities in Talence (office 311), reflecting his integrated contributions to theoretical computer science and applied sustainability initiatives. His educational trajectory demonstrates deep theoretical foundations: Habilitation à diriger des recherches (HDR) from University of Bordeaux (2020) titled Transductions: resources and characterization PhD in Computer Science from Université Lille 1 (2009) titled Streaming Tree Automata and XPath , conducted at LIFL/INRIA Master's degree (DEA) from Centre de Recherche en Informatique de Lens (2004) titled Fusion itérée de croyances Gauwin's research program bridges abstract theory and practical applications, with early work establishing fundamental results in automata theory for XML stream processing. His investigations into visibly pushdown automata, nested words, and transducers created novel frameworks for efficient query answering in data streams. Recent years show strategic expansion into sustainability, where he adapts formal methods to environmental modeling challenges. This evolution maintains rigorous theoretical grounding while addressing contemporary computational sustainability needs through the Numeric and Sustainability team. Analysis of his 15 most recent publications reveals consistent methodological excellence across theoretical computer science. Core themes include automata minimization (notably proving NP-completeness for visibly pushdown automata), logical characterizations of transductions, and streamability analysis for nested structures. His work demonstrates exceptional coherence—advancing from foundational XML processing (2008-2013) to resource-optimized transducers (2015-2018) and current sustainability applications, always maintaining focus on computational efficiency and formal verifiability. Dr. Gauwin actively mentors the next generation of computer scientists: Supervised PhD completion of Nathan Lhote (2015-2018) on logical characterizations of transductions Guided PhD research of Félix Baschenis (2014-2017) on transducer minimization and resource optimization His research is institutionally supported through LaBRI (UMR 5800), a joint CNRS-University of Bordeaux laboratory, though specific external grants aren't detailed in available materials. Current work continues through the Numeric and Sustainability team, where he integrates automata theory with environmental computation challenges in collaborative projects spanning theoretical innovation and real-world sustainability applications.
Nicholas Hopper is a Professor and Associate Department Head of Instruction in the Computer Science & Engineering Department at the University of Minnesota's College of Science and Engineering. He has been a faculty member at the University of Minnesota since completing his PhD at Carnegie Mellon University in 2004, and has established himself as a leading researcher in online communications security and privacy. Dr. Hopper received his B.A. from the University of Minnesota, Morris in 1999 and his Ph.D. in Computer Science from Carnegie Mellon University in 2004. Nicholas Hopper's primary research interest is in online communications security and privacy. Within this field, his main focus is on anonymous communication, censorship resistance, and applied cryptography. His work has significantly advanced the understanding of website fingerprinting attacks and defenses, particularly in the Tor network. Hopper has also made important contributions to secure messaging protocols, privacy-preserving technologies, and network security. His research often combines theoretical cryptography with practical implementations to address real-world privacy challenges. Over his career, his work has been cited more than 5,000 times, demonstrating substantial impact in the security and privacy community. Hopper's recent publications demonstrate a strong focus on website fingerprinting in Tor, with multiple papers on defenses like RegulaTor and analyses of information leakage. His work increasingly incorporates machine learning techniques for both attacks (like DeepCoFFEA) and defenses. There's also a consistent thread of research on secure messaging protocols and group communication. The breadth of his work spans theoretical cryptography, practical security implementations, and privacy metrics, with a particular emphasis on real-world applicability and evaluation. Dr. Hopper has received numerous prestigious awards for his work: NSF CAREER award (2006) Institute of Technology Student Board "Professor of the Year" award (2007) McKnight Land-Grant Professor award (2008) Best Student Paper Award at ACM CCS (2012) Andreas Pfitzmann Best Student Paper Award (2013) Honorable Mention for the 2013 PET Award for Outstanding Research Dr. Hopper has advised numerous graduate students, including over 10 PhD graduates who have gone on to academic positions at institutions like Ewha Womens University, University of Colorado Colorado Springs, and University of Tennessee. His current PhD students continue to work on cutting-edge privacy and security problems. He has served in significant leadership roles in the security research community, including as Program Chair for PETS 2010 and 2011, and as an Associate Editor for ACM TISSEC. His extensive service on program committees for major security venues (IEEE S&P, NDSS, CCS, CRYPTO, TCC, PETS, WPES, Financial Crypto, and WWW) demonstrates his standing in the field. While specific lab information isn't prominently featured in the provided materials, Dr. Hopper's research group appears to focus on privacy-enhancing technologies, particularly related to the Tor network. His students' work on website fingerprinting, secure messaging, and censorship resistance suggests an active research group working at the intersection of theory and practice in security and privacy. His research has practical implications for users seeking anonymity online and has influenced the design of privacy-preserving systems.
