جست‌وجوی استاد و پژوهشگر

Frank Liمشاهده پروفایل

استادیار

• Computer Security
• Network Security
• Web Security
• +۵ مورد دیگر

Frank Li is an Assistant Professor at Georgia Tech, affiliated with the School of Cybersecurity and Privacy and School of Electrical & Computer Engineering . His research focuses on computer security and privacy , particularly internet, network, and web security, with a data-driven approach. Education : PhD in Computer Science from UC Berkeley, BS in Computer Science from MIT (Course 6-3) Experience : Previously a visiting researcher at Facebook, with internships at Google and Microsoft Research Research interests include empirical computer security , internet measurement, password policies, IoT security, browser extensions, and DeFi vulnerabilities. His work combines large-scale data analysis, network traffic studies, and user behavior experiments. His publications highlight trends in IPv6 adoption , security notifications, password masking, third-party web content, and PLC security evaluation. Teaching awards include the Student Recognition of Excellence in Teaching (Annual CIOS Award and Semester Honor Roll) at Georgia Tech. He leads the BEES Lab (Better Empirically Established Security), which investigates security and privacy issues through internet-wide measurements, network traffic analysis, and data mining. Lab members include PhD and MS students in computer science.

Tobias Fiebigمشاهده پروفایل

استادیار

• Network Security
• Human Factors in Security
• Internet Measurement
• +۵ مورد دیگر

Dr.-Ing. Tobias Fiebig is a Senior Researcher at the Max Planck Institute for Informatics (Internet Architecture department) since April 2022. He previously served as a permanent Assistant Professor at TU Delft's Faculty of Technology, Policy and Management from 2017-2022. His work combines network measurement with human factors to improve security practices, focusing on email protocols, DNS infrastructure, and academic cloud migration. PhD in Computer Science from TU Berlin (2017) MSc in System and Network Engineering from University of Amsterdam (2013) BSc in Cognitive Science from University of Osnabrück (2012) His research spans Internet security (DNS, IPv6, email), academic freedom in cloud contexts, and human-centered security challenges. Recent work analyzes MTA-STS deployment, DNS sampling biases, and university cloud migration privacy implications. He has presented at top conferences including USENIX Security , IEEE Symposium on Security and Privacy , and ACM CCS . Teaching roles include lecturing Data Networks (2023-24) and On the Practice of System and Network Engineering (2024), with prior module management in cyber security analytics and sustainable system operations.

Oliver Gasserمشاهده پروفایل

پژوهشگر

• Internet Measurement
• IPv6
• BGP
• +۹ مورد دیگر

Oliver Gasser is a researcher at the Max Planck Institute for Informatics (MPI-INF) and the Technical University of Munich (TUM), where he has co-lectured courses such as Advanced Computer Networking and Master Course Computer Networks. His research focuses on Internet measurement, security, and privacy, with a strong emphasis on IPv6, DNS, BGP, and web tracking technologies. His research interests include Internet measurement, IPv6 deployment, BGP security, DNS infrastructure, web tracking, privacy technologies, and network resilience. He has made significant contributions to understanding IPv6 hitlists, router fingerprinting, hypergiant content delivery networks, and consent banner manipulation on the web. His work combines large-scale active measurements with data analysis to uncover systemic issues in Internet infrastructure and privacy practices. The recent publications highlight a consistent focus on measurement-driven research across networking, security, and privacy. Trends include analyzing IPv6 adoption patterns, detecting covert tracking mechanisms in web cookies, evaluating security of Internet protocols like DNS and BGP, and improving measurement methodologies for large-scale network studies. His work often involves developing open tools and datasets that advance reproducibility in networking research. PAM 2023 Best Paper Award TMA 2023 Best Paper Award TMA 2023 Fast Track Award PAM 2018 Best Paper Award IRTF Applied Networking Research Prize 2018 IMC 2017 Community Contribution Award TMA 2017 Best Dataset Award CoNEXT 2023 Community Contribution Award Oliver Gasser has advised or co-advised over 40 master’s and bachelor’s theses at MPI-INF and TUM, demonstrating strong mentorship in academic research. He has led several measurement projects that have received external funding, including development of the IPv6 Hitlist Service and tools for analyzing web tracking. His community service includes extensive participation in program committees for major networking conferences such as IMC, CoNEXT, PAM, and TMA. He leads and contributes to several open research initiatives including the IPv6 Hitlist Service, SNMPv3 Measurement Service, MPTCP Measurement Service, DNS Observatory, and the BannerClick tool for automated cookie banner interaction. These platforms provide valuable resources for the global networking research community and support reproducible science.

Paul Pearceمشاهده پروفایل

دانشیار

• Network Security
• Internet Measurement
• Cybersecurity
• +۴ مورد دیگر

Paul Pearce is an Associate Professor in the School of Cybersecurity and Privacy at Georgia Institute of Technology. He specializes in network security and internet measurement, focusing on DNS manipulation, IPv6 scanning, and malware analysis. His research has led to significant contributions, including the NSF CAREER Award (2023) and the IMC Community Contribution Award (2022). He holds a PhD in Computer Science from UC Berkeley (2018), following MS and BS degrees from the same institution. Education: PhD in Computer Science, UC Berkeley (2018) MS in Computer Science, UC Berkeley BS in Computer Science, UC Berkeley California Community Colleges: Chaffey College and Mount San Antonio College Research Interests: Network security and measurement IPv6 infrastructure and scanning Malware analysis and threat detection Privacy risks in browser extensions Global DNS manipulation and censorship Grants & Awards: NSF NeTS Early-Career Investigator Workshop PI (2025) NSF CAREER Award (2023) DARPA Riser (2022) IMC Community Contribution Award (2022) Distinguished Practical Paper at IEEE S&P (2015) Teaching: Teaches CS8803-EMS: Advanced Network Security and Measurement at Georgia Tech.

• Network and Service Management
• Cybersecurity
• Distributed Systems
• +۵ مورد دیگر

Aiko Pras is a Professor at the University of Twente in Enschede, Netherlands. His research spans network and service management, cybersecurity, and distributed systems, with a focus on DNS security, DDoS mitigation, IPv6, and software-defined networking. Research Interests: Network and Service Management Cybersecurity and DDoS Mitigation DNS Security and IPv6 Software-Defined Networking (SDN) Internet Measurement and Performance Critical Infrastructure Protection (ICS/SCADA) Article Trends: Pras's recent work emphasizes collaborative DDoS defense, DNS security, and IPv6 vulnerabilities. His studies often involve large-scale measurements and propose practical solutions for internet resilience and security. Collaborations: He frequently collaborates with Anna Sperotto, Roland van Rijswijk-Deij, and other experts in network security and measurement.

Eric Wustrowمشاهده پروفایل

دانشیار

• Network Security
• Internet Censorship
• Cybersecurity
• +۸ مورد دیگر

Eric Wustrow is an Associate Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado Boulder , affiliated with the College of Engineering and Applied Science . His research focuses on network security, internet censorship, and cryptographic protocols. Contact: ewust@colorado.edu , Phone: 734-330-8702, Office: ECCR 1B13. Academic Rank: Associate Professor Department: Electrical, Computer & Energy Engineering University: University of Colorado Boulder Eric Wustrow's research explores methods to measure and circumvent internet censorship, analyze network vulnerabilities, and enhance privacy in digital communications. His work includes studying the Great Firewall of China, DNS and TLS security, and developing anticensorship tools like ShadowTLS and WATER. He also investigates cryptographic weaknesses in network devices and secure hardware implementations. Recent publications examine the effectiveness of anticensorship tools, the impact of IPv6 on information controls, and vulnerabilities in encrypted protocols. His studies include speculative execution attacks, DNS censorship measurement, and techniques to exploit transient errors in TLS for key compromise. These works highlight evolving network threats and countermeasures. Eric's research has been supported by grants such as the CAREER: Combating Censorship from within the Network (2022) and SaTC: CORE: Medium: Collaborative: Studying the Impact of IPv6 on Information Controls and Censorship Circumvention (2020). These projects focus on developing network-level solutions to censorship and security challenges.

• Cybersecurity
• Privacy
• Industrial Networks
• +۷ مورد دیگر

Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.

• Photonic Interconnects
• Distributed Machine Learning
• Cloud Computing
• +۴ مورد دیگر

Rachee Singh is an Assistant Professor of Computer Science at Cornell University, leading the sysphotonics group which focuses on photonic interconnects and distributed machine learning systems. She is also an Amazon Scholar in the SageMaker Hyperpod team, specializing in large-scale ML infrastructure. Her research spans photonic fabrics for cloud workloads, WAN optimization, and secure networking. Key research interests include photonic interconnects for multi-accelerator servers, automated reasoning in network systems, and sustainability in cloud infrastructure. She has pioneered solutions like Aqua for memory offloading in LLMs and PipSwitch for programmable photonics-based circuit switching. Major grants include a 2024 NSF grant ($1M) for chip-to-chip photonic fabrics and DARPA/SRC funding via the JUMP 2.0 program. Notable awards include the 2025 Cisco Research Award and 2024 Amazon Research Award. Her work has been featured in top venues like ASPLOS, SIGCOMM, and NSDI. Rachee advises students such as Abhishek Vijaya Kumar (distributed ML) and Zhiying Xu (WAN optimization). Her sysphotonics group collaborates with industry partners like Amazon and Cisco, addressing challenges in photonic connectivity and planet-scale cloud systems.

Kevin Borgolteمشاهده پروفایل

استاد

• Security
• Privacy
• Software Engineering
• +۴ مورد دیگر

Kevin Borgolte is a full professor for Software Security in the Faculty of Computer Science at Ruhr University Bochum (RUB) in Bochum, Germany. He is affiliated with HGI Bochum and the DFG Excellence Cluster CASA: Cyber Security in the Age of Large-Scale Adversaries. His research focuses on improving the security, resilience, and privacy of software-based systems, with particular emphasis on real-world networked and distributed software systems. This work encompasses vulnerability discovery and mitigation, program and protocol analysis, and understanding how networked software is deployed and used. He has developed novel techniques to identify and mitigate Internet security threats, including detecting malicious software, discovering unknown attacks on networked systems, and conducting security-relevant measurements like large-scale IPv6-wide scanning. Professor Borgolte is a strong advocate for open science and open code, believing it is crucial for research reproducibility. His research group's GitHub organization is rub-softsec, and his earlier work is available through UCSB SecLab and UChicago NOISE Lab repositories. Third place in DARPA Cyber Grand Challenge (with Shellphish CGC team) He actively participates in Security Capture the Flag competitions with Shellphish and serves on multiple program committees for major security conferences including IEEE/ACM International Conference on Automated Software Engineering (ASE), IEEE Symposium on Security & Privacy (S&P), and USENIX Security Symposium. At RUB, he serves on the University Commission for Teaching, Faculty Council, and IT Advisory Board of the Faculty of Computer Science. His research group focuses on practical security challenges in real-world systems, with emphasis on empirical research and building deployable security tools that address vulnerabilities in networked software systems.

• Computer Security
• Networking
• Distributed Systems
• +۳ مورد دیگر

Michael Bailey is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, affiliated with the Coordinated Science Laboratory. He holds a BS (1992), MS (1994), and PhD (2006) in Computer Science from the University of Illinois, DePaul University, and University of Michigan, respectively. His research focuses on security and performance of distributed systems, including networking protocols, cloud computing, and cybersecurity. He has taught courses such as Introduction to Computer Security (ECE 422/CS 461) and Computer Systems Engineering (ECE 391), advising over 138+ students in these courses. His work has been recognized through awards including the IETF Applied Networking Research Prize (2015), Best Paper at IMC 2014, and multiple teaching excellence rankings. Key contributions include studies on HTTPS certificate ecosystems, IPv6 adoption metrics, and mitigating NTP-based DDoS attacks. PhD: University of Michigan (2006) Former positions: Assistant Research Scientist (2007-2012), Research Associate Professor (2012-2014) Labs/Teams: Coordinated Science Laboratory (UIUC)

Dave Levinمشاهده پروفایل

دانشیار

• Networking
• Security
• Cybersecurity
• +۵ مورد دیگر

Dave Levin is an Associate Professor at the University of Maryland with a joint appointment in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS) . His research focuses on network security , Internet censorship avoidance , and PKI analysis , combining empirical measurement with cryptographic and economic approaches to system design. Recent research trends include certificate revocation systems (e.g., CRLite), geographic traffic evasion (Alibi Routing), and large-scale network measurement of DNS root servers. His work often involves undergraduate research groups through the Breakerspace lab, which he founded to scale cybersecurity education. Scientific awards include Best Paper Honorable Mention at ACM CCS 2022 and the Internet Defense Prize (2021). Teaching includes graduate security courses (CMSC 614) and undergraduate honors seminars (CMSC 396H). Service involves chairing conferences like ACM IMC 2021 and reviewing for IEEE S&P 2023.

Markus Dahlmannsمشاهده پروفایل

پژوهشگر

• Industrial Network Security
• Internet Measurements
• Security Assessment
• +۳ مورد دیگر

Markus Dahlmanns is a Researcher and Ph.D. Candidate at RWTH Aachen University's Chair of Communication and Distributed Systems under Prof. Klaus Wehrle. He holds an M.Sc. (2018) and B.Sc. (2016) in Computer Science from RWTH. His research focuses on industrial network security, internet measurements, and privacy education, particularly in critical infrastructure systems. He has contributed to projects like CONNECT and VeN2uS, exploring secure communication in smart grids and adaptive protection systems. His work spans topics such as TLS adoption in industrial IoT, container image security, and privacy-preserving protocols for industrial collaboration. Markus has advised over 16+ theses, taught courses on data communication, system software, and internet technology, and organized academic events. Notable achievements include a 2021 CAST Förderpreis IT-Sicherheit finalist award for thesis work on industrial message brokers. His recent publications (2023-2025) address IoT authentication frameworks (LUA-IoT), resilient grid communication, and IPv6 IoT deployment discovery, reflecting his commitment to advancing practical cybersecurity solutions for modern infrastructure.

• Computer Networks
• Network and System Security
• PKI
• +۳ مورد دیگر

Prof. Thomas ENGEL is a Full Professor of Computer Networks and Telecommunications at the University of Luxembourg's Faculty of Science, Technology and Medicine. He leads the SECAN-Lab, focusing on performance, privacy, and identity management in Next Generation Networks. His roles include membership in the European Security Research Advisory Board (ESRAB) and NATO's Information and Communication Security Panel. He coordinated major EU projects like the u-2010 Integrated Project involving IPv6-based Next Generation Networks. Prof. Engel holds a PhD in Physics and Computer Science from the University of Saarbrücken (1996) and has extensive industry experience as co-founder and vice-director of the Fraunhofer Institute for Telematics. His research spans network security, IoT, vehicular communications, and privacy-preserving protocols. Notable contributions include work on 5G-V2X security, blockchain for vehicular privacy, and anomaly detection in SCADA systems. He chairs Luxembourg's National IPv6 Council and advises NATO on electronic communications. His SECAN-Lab explores cutting-edge topics like decentralized data preprocessing and federated learning for vehicular networks. Prof. Engel's publications address challenges in automotive cybersecurity, encrypted traffic analysis, and network slicing. Recent work emphasizes cross-border 6G-V2X security and causal discovery methods for data preprocessing. He has led interdisciplinary initiatives at the University of Luxembourg's SnT center and advocates for standardized data pipelines in IoT ecosystems.

Vern Paxsonمشاهده پروفایل

استاد

• Computer Science
• Network Security
• Internet Measurement
• +۳ مورد دیگر

Vern Paxson is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and a Senior Scientist at the International Computer Science Institute (ICSI). His research focuses on network security, internet measurement, and censorship resistance, with significant contributions to malware analysis, DNS security, and large-scale cyber threat detection. Key research areas: Network Security, Internet Measurement, Cybersecurity, Censorship Studies Advises PhD students in topics including credential spearphishing, botnets, and cybercrime supply chains His publications span over two decades, including foundational work on network intrusion detection via the Bro/Zeek framework and recent studies on HTTPS interception risks and domain fronting. He has received numerous accolades, including the USENIX Test of Time Award (2022) , IEEE Internet Award (2015) , and ACM SIGCOMM Test of Time Paper Award (2006) . Paxson also co-authored the influential Bro: A system for detecting network intruders in real-time (1998), which earned a USENIX Best Paper Award . Scientific Awards : USENIX Test of Time Award (2022) IEEE Symposium on Security and Privacy Test of Time Award (2020) Internet Defense Prize (2017) IEEE Internet Award (2015) Grace Murray Hopper Award (2007) ACM Fellow (2006) His work has shaped practical tools like the Bro/Zeek network analysis framework and Netalyzr , a platform for edge network analysis. Paxson’s research on click fraud, credential breaches, and state-sponsored cyberattacks remains highly cited, reflecting his central role in advancing empirical cybersecurity research.

Gerhard Lakemeyerمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation
• Cognitive Robotics
• +۳ مورد دیگر

Gerhard Lakemeyer is a Professor and Chair of the Department of Computer Science at RWTH Aachen University, leading the Knowledge-Based Systems Group (KBSG). He is also affiliated with the Chair of Information Systems and Database at RWTH Aachen and the Department of Computer Science at the University of Toronto. His primary research interests include Artificial Intelligence, Knowledge Representation , and Cognitive Robotics , with a focus on applying these fields to robotics, autonomous systems, and industrial applications. His work spans theoretical advancements in AI planning, formal verification, and multi-agent systems, alongside practical implementations in robotics navigation, simulation frameworks (e.g., ROS 2), and data-driven systems for production processes. Lakemeyer’s contributions often bridge theoretical computer science with real-world applications, such as improving the reliability of service robots and enhancing cybersecurity in data-sharing systems. He has been involved in international collaborations, including the RoboCup Logistics League, where his teams have achieved notable successes through innovative robotics strategies. His recent publications highlight trends in explainable AI, anomaly detection, and the integration of AI into industrial settings like the 'World Wide Lab.' These efforts aim to advance autonomous systems, digital transformation in manufacturing, and sustainable urban management through interdisciplinary approaches. While no formal awards or grants are explicitly listed, his active role in academic leadership and collaborative research projects underscores his significant contributions to the field.