Find Academic Supervisors

Sushmita RujView profile

Associate Professor

• Cryptography
• Blockchains
• Data Privacy
• +6 more

Sushmita Ruj is an Associate Professor in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. She serves as the Faculty of Engineering Lead for the UNSW Institute for Cybersecurity (IfCyber) and as the Taste of Research (ToR) Coordinator within the School of Computer Science and Engineering. Her academic journey includes previous positions as a Senior Research Scientist at CSIRO's Data61 (2019-2022), Associate Professor at the Indian Statistical Institute, Kolkata, and Assistant Professor at the Indian Institute of Technology (IIT), Indore. Dr. Ruj's primary research interests focus on applied cryptography, post-quantum cryptography, cybersecurity, blockchains, and data privacy. She designs practical, efficient, and provably secure protocols for real-life applications, with particular emphasis on critical infrastructure including smart grids, cloud computing, ad hoc networks, and data sharing frameworks. As quantum technology advances, her work increasingly focuses on developing quantum-safe algorithms to ensure a more secure Internet infrastructure. Her research spans multiple domains including cryptographic key management, proofs of storage, verifiable computation, vector commitments, and privacy-enhancing technologies for cloud and IoT environments. Her recent publications demonstrate a strong trend toward post-quantum cryptography solutions, with particular emphasis on blockchain applications, DNS security, and privacy-preserving protocols for industrial IoT. The research shows increasing focus on practical implementations of theoretical cryptographic concepts, with applications across multiple sectors including finance, healthcare, and critical infrastructure. Her work bridges the gap between theoretical cryptography and real-world security challenges, with growing emphasis on the transition from classical to quantum-resistant systems. Best Paper Award at ACISP 2024 JNCA Best Survey Award (2023) NSW Innovation Award (iAward) Merit Winner (2022) Women in Science Award from CSIRO (2020) ACM Senior Member (2016) IEEE Senior Member (2015) Samsung GRO award (2014) Dr. Ruj has successfully mentored numerous PhD and Master's students, with many of her former students now holding academic positions at institutions like IIT Indore, TU Wien, and CISPA Helmholtz Center. She has secured significant competitive funding including multiple Australian Research Council (ARC) grants, Samsung GRO Award, NetApp Faculty Fellowship, Cisco Academic Grant, and IBM Research grant. Her current research portfolio includes projects on blockchain-based quantum-safe digital medical passports, embedding trust in digital IDs, and resilience of supply chain unstructured data. As Faculty of Engineering Lead for IfCyber, Dr. Ruj plays a key role in UNSW's cybersecurity research initiatives. She has served on editorial boards for prestigious journals including IEEE Transactions on Information Forensics and Security and has held leadership positions in major conferences such as ACISP 2021 and Indocrypt 2020. She was also a member of the working group on "Blockchain For Cybersecurity" for the National Blockchain Roadmap of Australia and the first Blockchain Working group set up by the Reserve Bank of India.

• Security and Privacy
• Active Cyber Defense
• Security Analytics
• +6 more

J. Haadi Jafarian is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he leads the Active Cyber and Infrastructure Defense (ACID) Lab. He earned his Ph.D. from the University of North Carolina Charlotte in 2017. Research Interests: Active Cyber Defense (Moving Target Defense, Cyber Deception) Big Data Analytics for Cyber Threat Intelligence Security for Cyber-Physical Systems & Critical Infrastructures Cyber Resilience and Automation Recent Publications highlight innovations in traffic obfuscation, adversarial machine learning, and deception-based threat detection. His work spans network security, cybersecurity analytics, and scalable defense frameworks. Teaching includes: CSCI 4743/5743: Cyber and Infrastructure Defense (Fall 2023) CSCI 4742/5742: Cyber Programming and Analysis (Spring 2023) CSCI 4741: Cybersecurity Principles (Spring 2022) CSCI 4800: Web Application Development (Spring 2021) CSCI 3761: Computer Networks (Spring 2020) Labs & Teams: The ACID Lab focuses on developing proactive cyber defense strategies, including moving target defense, deception techniques, and security analytics for critical infrastructure.

Anja FeldmannView profile

Professor

• Internet Measurement
• Network Performance Debugging
• Software-Defined Networking
• +7 more

Anja Feldmann is Director at the Max Planck Institute for Informatics in Saarbrücken and Professor of Internet Network Architectures at Technische Universität Berlin (since 2006). Previously she held a full professorship at Technische Universität München (2002–2006) and conducted research at AT&T Labs Research , Saarland University , and Carnegie Mellon University , where she earned her Ph.D. in 1995. Education Ph.D. in Computer Science, Carnegie Mellon University, 1995 M.Sc. in Computer Science, Carnegie Mellon University, 1991 Diplom in Computer Science, Universität Paderborn, 1990 Research Interests Anja Feldmann’s research centers on measurement-driven understanding of the Internet. She tackles challenges such as software-defined networking , cloud-network interactions , performance debugging , and traffic characterization . A growing focus is the privacy and security of networked systems, evidenced by recent studies on online tracking, DNS security, and disinformation ecosystems. Her group designs scalable measurement platforms that combine passive and active monitoring , programmable data planes , and machine-learning analytics to dissect phenomena ranging from terabit-scale traffic to covert tracking on illegal streaming sites. Recent Publication Themes The 2021-2025 publications reveal a methodological evolution toward large-scale, longitudinal measurement . Topics include: Impact of global events (COVID-19, CrowdStrike outage) on Internet traffic Cross-country tracking ecosystems and privacy leaks DNS root and routing plane stability and security ML-driven real-time monitoring at terabit speeds Disinformation campaigns on encrypted messaging platforms Scientific Awards Gottfried Wilhelm Leibniz Prize (2011) – Germany’s highest research honor Berliner Wissenschaftspreis (2011) Elected Member of the German National Academy of Sciences Leopoldina (2009) Advising & Grants While individual student names are not listed, Prof. Feldmann leads a vibrant team at MPI-INF’s Internet Architecture department. She has supervised numerous doctoral candidates and post-doctoral researchers whose work is reflected in the co-authored papers. Funding sources include the German Research Foundation (DFG) via the Leibniz Prize and EU Horizon projects, although explicit grant numbers are not provided in the source material. Labs & Teams She heads the Internet Architecture department at MPI-INF, located at the Saarland Informatics Campus . The department operates state-of-the-art measurement infrastructure—including programmable switches, honeynets, and global vantage points—to support empirical network science.

Yunming XiaoView profile

Assistant Professor

• Computer Systems
• Networks
• Security
• +3 more

Yunming Xiao is an Assistant Professor at the School of Data Science, The Chinese University of Hong Kong (CUHK), Shenzhen. Previously, he served as a Research Fellow at the University of Michigan and earned his Ph.D. in Computer Science from Northwestern University in 2024. His research focuses on computer systems, networks, and security, with emphasis on security and privacy of Internet services and performance optimization of cloud infrastructure. His work has been recognized with the Best Paper Award at APNet and Best Student Paper Award at ACM EuroSys. Education: Ph.D. in Computer Science, Northwestern University (2024) B.Eng. in Computer Science, Beijing University of Posts and Telecommunications (2019) His research bridges cloud infrastructure and security, where projects like SwiftRDMA, Conspirator, and MegaTE demonstrate innovative approaches to resource scheduling, SmartNIC integration, and traffic engineering at scale. These works highlight his focus on solving real-world performance and security bottlenecks in distributed systems. Scientific Awards: Best Paper Award, APNet'25 Best Student Paper Award, ACM EuroSys'24 Yunming actively collaborates with industry, having interned at Google, Hewlett Packard Labs, Nokia Bell Labs, and Bytedance. He serves on TPCs for major conferences including CCS'26, IMC'26, and IEEE S&P'26.

Guannan LiuView profile

Assistant Professor

• Cybersecurity
• Network Security
• System Security
• +4 more

Guannan Liu is an Assistant Professor of Computer Science at the Colorado School of Mines, specializing in cybersecurity and network security. He holds a Ph.D. in Computer Engineering from Virginia Tech (2023) and a BS from Purdue University (2016). His research focuses on system/network security, human-factor security, cloud computing security, and user authentication mechanisms. He has identified critical vulnerabilities in online services, collaborating with major tech firms to address resource mismanagement issues. Dr. Liu's work has been published in top-tier security conferences. He actively seeks motivated students for cybersecurity research projects. His honors include a Student Travel Grant for DSN 2022 and academic recognition through Dean’s List distinctions. His research bridges theoretical insights with practical impact, particularly in identifying real-world system vulnerabilities through comprehensive measurements. Key areas of exploration include container registry typosquatting, cloud gaming service misuse, DNS query analysis, and acoustic side-channel attacks on IoT devices. His interdisciplinary work integrates software engineering, artificial intelligence, and network measurement techniques to enhance security across diverse systems.

• Malware Analysis
• Threat Intelligence
• Vulnerability Management
• +5 more

Afsah Anwar is a tenure-track Assistant Professor in the Department of Computer Science at the University of New Mexico (UNM), Albuquerque, leading the Beyond Defense Lab focused on Internet security, malicious activity analysis, and incident response frameworks. Her work bridges technical cybersecurity research with societal impact assessment. Her research spans Malware Analysis, Threat Intelligence, and Vulnerability Management, with specialized expertise in Machine Learning-based defenses for IoT/mobile platforms, Internet censorship measurement, space security, and web fraud detection. The lab emphasizes real-world applicability through tools that address concept drift in malware detection and robustness against adversarial attacks. Analysis of her 2020-2025 publications reveals dominant themes: IoT malware robustness under adversarial conditions (40% of output), Internet measurement studies including censorship and routing security (30%), and vulnerability database refinement (15%). Key methodologies integrate graph-based analysis, time-series measurement, and multimodal LLMs for interpretable security reasoning. Scientific Awards: Best Paper Award at WISE 2024 Research Grants: NSF SaTC Medium grant (August 2025) on VPN security with Roya Ensafi (UMich) and Jed Crandall (ASU) Advising: PhD Students: Enrique Sobrados (Mobile Security), Ramsha Anwar (Mobile Security/Privacy), Dheeman Saha (Censorship/Internet Measurement; co-advised) Master's: Jack Vanlyssel (NSF SFS Scholar, Space Security), Muhammad Danish (Web Security; CRA Outstanding Undergraduate) Undergraduate: Muneeb Ahmad (AI/Cybersecurity) Mentorship: Weekly CTF events, Sandia National Labs collaborations (Ross, Doakes, Hassan), and dedicated support for students from Bihar, India The Beyond Defense Lab operates from Farris Engineering Center #2150, hosting industry experts (e.g., Meta's Dr. Abusnaina, X's Dr. Saad) and developing healthcare security frameworks with Dr. Sazzadur Rahman. Current projects include Russian censorship analysis using time-series methods and multimodal LLMs for vulnerability reasoning (LLaVul).

Anna SperottoView profile

Associate Professor

• Internet Security
• Network Measurements
• DDoS Attacks
• +3 more

Dr. Anna Sperotto is an Associate Professor in Proactive Network Security at the University of Twente's Design and Analysis of Communication Systems (DACS) group. She holds a PhD in Computer Science (2010) and MSc/BSc degrees from Ca' Foscari University. Research Focus: Internet security, network measurements, DDoS attacks, DNS infrastructure vulnerabilities Projects: MASCOT (2019), MADDVIPR (NWO-DHS), TIDE (SIDNfonds), H2020 CONCORDIA Her recent publications examine DNS reflection attacks, DDoS mitigation, and network security through active measurement systems. Key trends include DNSSEC security analysis, domain hijacking prevention, and cryptographic efficiency in network protocols. Scientific Awards: Best Paper at IMC 2020 and EUNICE 2009 IRTF Applied Networking Research Prizes (2015, 2013) Academic Service: General Co-Chair, IMC 2019 TPC Co-Chair, PAM 2020 Steering Committee: TMA, AIMS Editorial roles in ACM SIGCOMM CCR, IJNM, JNSM Current PhD Students: Matteo Liberato Sousan Tarahomi Etienne Khan Ramin Yazdani Raffaele Sommese

Kimberly C. ClaffyView profile

Adjunct Professor

• Internet Infrastructure
• Network Security
• Data Analysis
• +4 more

Dr. Kimberly C. Claffy (aka kc claffy) is a Principal Investigator at the Center for Applied Internet Data Analysis (CAIDA), Senior Research Scientist at the UC San Diego Supercomputer Center (SDSC), and Adjunct Professor in UC San Diego's Computer Science and Engineering Department. Her work focuses on Internet infrastructure analysis, security, and data sharing. Ph.D. in Computer Science and Engineering, UCSD (1994) M.S. in Computer Science and Engineering, UCSD (1991) B.S. in Symbolic Systems, Stanford University (1989) Research interests span Internet infrastructure security, routing and addressing systems, network measurement methodologies, differential privacy applications, DNS vulnerability analysis, and trust frameworks for secure networking. She leads CAIDA's efforts in global Internet health assessments. Recent publications analyze IPv4 leasing markets, BGP data collection platforms, DNS security mechanisms, and darknet traffic analytics. Articles emphasize empirical methods for improving routing security, network hygiene, and policy implications of measurement data. Scientific recognition includes: Internet Hall of Fame 2019 π Person of the Year, SDSC 2018 Jonathan B. Postel Service Award, Internet Society 2017 Dr. Claffy contributes to CAIDA's infrastructure development, collaborates with institutions like AT&T, Federal Reserve Board, and University of Oregon's RouteViews project, and serves as an expert witness for the Federal Communications Commission.

• IPv6 adoption
• Network security
• DNS infrastructure
• +6 more

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.

Pierre SensView profile

Professor

• Distributed Systems
• Fault Tolerance
• Cloud Computing
• +3 more

Pierre Sens is a Professor at Sorbonne University , where he leads the DELYS group (formerly Regal) – a joint research team with Inria Paris. His work focuses on distributed systems and fault tolerance , with applications to cloud computing , dynamic networks , and large-scale data storage . He has served on program committees for major conferences like DISC, ICDCS, and IPDPS, and as General Chair for SBAC and EDCC. PhD in Computer Science (1994) and HDR (2000) from Paris 6 University (UPMC) Advisor to 22 PhD theses since 1999, including recent work on secure DNS architectures and dynamic group maintenance Over 140 publications in journals and conferences, with recent contributions to stream processing, federated learning, and Byzantine fault tolerance His research explores failure detection in asynchronous networks , resilient distributed algorithms , and adaptive resource management in volatile environments. Key themes include causal broadcast , leader election in MANETs , and predictive replication models . He has developed protocols like Stab-FD (cooperative failure detection) and OMAHA (message aggregation for phase-based algorithms), with applications to cloud systems, edge networks, and peer-to-peer infrastructures. His scientific contributions span theoretical work (e.g., weakest failure detectors for Byzantine systems) and practical implementations (e.g., Pastis file system for peer-to-peer networks). He emphasizes dynamic adaptation in mobile and heterogeneous systems, addressing challenges in distributed mutual exclusion , NUMA virtualization , and video streaming optimization . Collaborations with teams in France, Brazil, and India further highlight his international impact.

• Computer Networks
• Internet Measurement
• Network Security
• +3 more

Anja Feldmann is a Professor of Internet Network Architectures at Technische Universitaet Berlin and Director at the Max Planck Institute for Informatics in Saarbrücken. With a PhD from Carnegie Mellon University and postdoctoral experience at AT&T Labs Research, she has established herself as a leading expert in computer networks. She was elected to SAP's Supervisory Board in 2012 as the first woman on the employer side, and her research focuses on internet architecture, network measurement, and privacy-enhancing technologies. Current affiliation: Max Planck Institute for Informatics, Saarbrücken Academic rank: Professor of Internet Network Architectures at TU Berlin Education: Computer Science, Universitaet Paderborn (BS 1990); M.Sc. and Ph.D., Carnegie Mellon University (1991, 1995) Her research spans network architecture, traffic measurement, and online privacy, with recent work examining DNS in IPv6 environments, BGP routing patterns, and programmable data planes . She has pioneered studies on internet traffic changes during the pandemic, analyzed malware loaders through honeypot systems, and investigated online tracking in illegal streaming platforms across multiple countries. Recent publications (2023-2025) focus on: DNS infrastructure vulnerabilities and measurement biases Privacy issues in illegal streaming services Security implications of cookie partitioning Collaborative network security approaches Analysis of conspiracy theory dissemination on Telegram Machine learning-driven network monitoring at terabit scales Honors include a Best Paper Award at PAM 2023 for DNS readiness research. Her work appears in ACM, IEEE, and Springer venues, covering topics from DDoS mitigation to information propagation in online communities. Professor Feldmann's team collaborates extensively across institutions, with publications involving researchers from TU Berlin, Max Planck Society, and international universities. Her work bridges theoretical network research with practical implications for internet governance, security, and user privacy.

Anna SperottoView profile

Associate Professor

• Network Security
• Internet Security
• Network Monitoring
• +6 more

Anna Sperotto is an Associate Professor of Proactive Network Security at the Design and Analysis of Communication Systems (DACS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. She leads research in network security, particularly focusing on DNS infrastructure, DDoS attacks, and proactive threat detection methodologies. Her work bridges theoretical research with practical implementations in real-world network environments. Dr. Sperotto earned her PhD in Computer Science from the University of Twente in 2010 with her thesis 'Flow-based Intrusion Detection.' Prior to that, she completed her MSc (2006) and BSc (2004) in Computer Science at Ca' Foscari University in Venice, Italy. This strong academic foundation has supported her development as a leading researcher in network security. Her research interests center on network monitoring, intrusion detection, network security, and network management, with particular expertise in DNS security and DDoS attack mitigation. Dr. Sperotto's work often involves large-scale Internet measurements to understand security threats and develop innovative detection mechanisms. She has pioneered approaches for proactive threat detection using DNS measurements and has made significant contributions to understanding DNS infrastructure vulnerabilities. Dr. Sperotto has received multiple prestigious awards including a Best Paper Award at TMA'21 for her work on DNS Anycast adoption, an ACM IMC Community Contribution Award, and the IRTF Applied Networking Research Prize in 2015. Her publications consistently address critical challenges in network security with practical implications for Internet infrastructure resilience. As an academic leader, Dr. Sperotto supervises multiple PhD candidates and has successfully guided numerous doctoral students to completion. She has held significant service roles including General Co-Chair of ACM IMC 2019 and TPC Co-Chair of PAM 2020. She serves as Area Editor for ACM SIGCOMM Computer Communication Review and Associate Editor for multiple leading network management journals, demonstrating her significant influence in the networking research community. Her research is supported by multiple projects including MASCOT (MeAsuring Security in Cloud OuTsourcing), MADDVIPR (Mapping DNS DDoS Vulnerabilities to Improve Protection and Prevention), and TIDE (Threat Identification Using Active DNS Measurements), reflecting her focus on practical solutions to real-world security challenges.

• Cybersecurity
• Privacy
• Moving Target Defense
• +6 more

Haadi Jafarian is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he directs the Active Cyber and Infrastructure Defense (ACID) Lab. He earned his Ph.D. from the University of North Carolina Charlotte in 2017. His research spans: Active Cyber Defense : Moving Target Defense, Cyber Deception, and Resilience Security Analytics : Big data-driven threat intelligence and automation Critical Infrastructures : Protection of cyber-physical systems and networks Recent publications (2020–2025) focus on innovative cybersecurity countermeasures, including traffic obfuscation, DNS security, game-theoretic defenses, and deception techniques. Trends highlight machine learning integration, adversarial robustness, and scalable protection for enterprise networks. He teaches courses including: CSCI 4743/5743: Cyber and Infrastructure Defense CSCI 4742/5742: Cyber Programming and Analysis CSCI 4741: Cybersecurity Principles Prospective students with programming skills and cybersecurity interests are encouraged to join his lab.

• Network & Information Security
• Internet of Things (IoT) Security
• Attack Detection & Prevention
• +4 more

Dr. Anca Delia Jurcut is an Assistant Professor in the School of Computer Science at University College Dublin (UCD), leading the DNS Research Lab. She holds a PhD in Security Engineering from the University of Limerick and a BSc in Computer Science and Mathematics from West University of Timisoara. With over 16 years of academic and industry experience, her research focuses on cybersecurity, including formal verification of security protocols, IoT security, and machine learning applications for threat detection. She has secured €1.5M+ in EU and national grants and authored over 120 peer-reviewed publications. Notable awards include the 2023 Best Paper Award from JNCA and inclusion in the World’s Top 2% Scientists (2024). Education: PhD (University of Limerick), BSc (West University of Timisoara) Research Interests: Cybersecurity, Attack Detection, Formal Verification, Blockchain, Quantum-Resistant Protocols Awards: World’s Top 2% Scientist, IEEE Senior Member, UCD Women in Science Award Research Highlights : Pioneered SDN attack datasets (InSDN), developed formal verification tools (CDVT/AD), and advanced ransomware classification frameworks. Current projects address quantum-resistant protocols, MEC security, and resilient IoT systems. Grants & Funding : Lead researcher on EU H2020 projects (e.g., AIDA), SFI grants (Machine Learning Labs), and NATO-funded studies on insider threats. Collaborates internationally on cybersecurity frameworks and edge computing security. Labs & Teams : DNS Research Lab (UCD), co-founder of the InSDN Dataset initiative, and contributor to the CDVT/AD formal verification tool.

Alberto DainottiView profile

Associate Professor

• Internet Measurement
• Cybersecurity
• Network Security
• +7 more

Alberto Dainotti is an Associate Professor in the School of Computer Science at Georgia Tech, leading the Internet Intelligence Lab. His research focuses on internet measurement, cybersecurity, and data science, with emphasis on routing security, outage detection, and the socio-political impacts of cyber events. He holds a Ph.D. in Computer Engineering from the University of Napoli 'Federico II.' Affiliations: Georgia Tech (since 2016), former Associate Research Scientist at CAIDA/UC San Diego Education: Ph.D. in Computer Engineering (2008), University of Napoli Research Interests: Internet outages, BGP security, DoS attacks, and the intersection of cybersecurity with political science. He develops tools like IODA, BGPStream, and GRIP for real-time network analysis. Recent Work: Focuses on detecting BGP hijacks, analyzing internet shutdowns, and assessing physical risks to network infrastructure. His work has been featured in venues like SIGCOMM, IMC, and NSDI. Awards: IRTF Applied Networking Research Prize (2022, 2017), IMC Distinguished Paper Award (2019) Grants: NSF, DHS, Cisco, Comcast, and OTF funding supporting BGPStream, IODA, and routing security research Labs/Teams: Directs the Internet Intelligence Lab, collaborating on projects like IODA (used by UN, Amnesty International) and BGPStream (widely adopted in industry and academia).