Find Academic Supervisors

Xinyu XingView profile

Associate Professor

• Operating Systems Security
• Artificial Intelligence Security
• Cybersecurity
• +3 more

Xinyu Xing is an Associate Professor in the Department of Computer Science at Northwestern University and co-founder of Sec3. His research focuses on operating systems security, AI security, and kernel exploitation. He earned his Ph.D. from Georgia Tech under Dr. Wenke Lee and Dr. Nick Feamster. His team actively participates in CTF competitions and presents at top conferences like BlackHat and DEFCON. Key research areas include heap memory protection, reinforcement learning applications in security, and kernel vulnerability analysis. Notable contributions include frameworks like BandFuzz (collaborative fuzzing), RICE (reinforcement learning optimization), and ShadowBound (heap memory protection). His work has been recognized with awards such as the CCS 2018 Outstanding Paper Award and ACSAC 2017 Best Paper Award. Over 20 students under his guidance have received prestigious awards and moved to roles at Meta, Apple, and top universities. Education: Ph.D., Computer Science, Georgia Institute of Technology Alumni: 10+ former students hold academic or industry positions globally Lab/Team: Active in Sec3, DEFCON CTF, and industrial conference presentations

Marco CookView profile

Researcher

• Cyber-Security
• Industrial Control System Security
• Anomaly Detection
• +2 more

Dr. Marco Cook is a Research Associate (academic rank mapped to Researcher) at the School of Computing Science, University of Glasgow. He is an active member of the GLAsgow Systems Section (GLASS) and affiliated with the Netlab (Networked Systems Research Laboratory) and Cyber Defence Lab research groups. Cook completed his PhD in 2023 through an EPSRC iCASE studentship award supported by the Defence Science and Technology Laboratory (Dstl). Research Focus Cook's research specializes in cyber-physical systems security with emphasis on: Industrial Control System (ICS) anomaly detection and forensics Programmable Logic Controller (PLC) vulnerability analysis Cyber resilience for Critical National Infrastructure eBPF-based network security solutions Operational Technology (OT) protection mechanisms His work integrates formal methods, machine learning, and systems engineering approaches. Publication Analysis Cook's 15 most recent publications (2020-2025) demonstrate consistent focus on industrial control system security, with emerging emphasis on eBPF-based network programmability for OT environments. Dominant themes include: anomaly detection frameworks (40%), PLC security (33%), ICS forensics (20%), and programmable network architectures (27%), frequently intersecting cyber-physical systems concepts. Research Groups & Funding Active in Glasgow's Netlab (networked systems) and Cyber Defence Lab . PhD funded by EPSRC iCASE studentship with Dstl partnership. Current projects involve eBPF-based OT resilience and ICS anomaly diagnosis frameworks.

Yutian TangView profile

Assistant Professor

• AI+SE (Large-language Model+SE)
• Program Analysis
• Empirical Software Engineering
• +4 more

Dr. Yutian Tang is an Assistant Professor at the University of Glasgow's School of Computing Science. He holds a Ph.D. from The Hong Kong Polytechnic University and a B.Sc. from Jilin University. His research focuses on AI-driven software engineering, program analysis, and mobile app security, with over 40 publications in top venues like ESEC/FSE and IEEE TSE. He has received awards including the ISSRE'18 Best Industry Paper and Shanghai Pujiang Talent Program. Current research emphasizes automated testing, bug localization, and LLM applications in software engineering. Education: Ph.D., Department of Computing, The Hong Kong Polytechnic University B.Sc., Computer Science, Jilin University Research Interests: His work spans AI+SE (Large Language Models in Software Engineering), automated testing, privacy protection, and malware detection. Notable contributions include XDebloat (app debloating) and tools for analyzing Android vulnerabilities. He actively explores LLM applications for code generation and test suite optimization. Grants & Funding: EPSRC Peer Review College member National Natural Science Foundation of China (NSFC) grant (2023-2025) OpenAI API Researcher Access Program (2024) Google Cloud Research Credits (2024) Service & Leadership: Editorial Board Member of Frontiers in Computer Science , PC member of ICSE, ESEC/FSE, ASE, and other top conferences. Active in reviewing for IEEE Transactions and ACM journals. Future Directions: Tool support for automated bug detection, LLM integration in software lifecycle, and large-scale binary code analysis.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +4 more

XIE Xiaofei is an Assistant Professor of Computer Science at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He holds the Lee Kong Chian Fellowship and has a PhD from Tianjin University (2018). Previously, he was a postdoctoral researcher at Nanyang Technological University (NTU, 2018–2021). His research focuses on program analysis, software testing, vulnerability detection, and AI system quality assurance. Key areas include adversarial attacks on deep learning systems, autonomous driving testing, and secure software development. He actively advises PhD students and collaborates on projects like the GameRTS framework for video game testing and BehAVExplor for autonomous systems. Education : PhD, Tianjin University, 2018 Postdoctoral Research, NTU Singapore, 2018–2021 Research Interests : Dr. Xie explores cutting-edge topics such as neural network testing , AI security , and large language model (LLM) reliability . He develops tools like DeepHunter for DNN fuzz testing and CAShift for cloud attack detection. His work bridges theory and practice, addressing real-world challenges in software safety and AI robustness. Recent Contributions : His publications span top venues (ICSE, ASE, CVPR) and include innovations like behavior diversity testing for autonomous vehicles and multi-target backdoor attacks on code models. He also leads initiatives to enhance federated learning security and LLM vulnerability detection. Awards & Recognition : ACM Tianjin Doctoral Dissertation Award (2019) ACM SIGSOFT Distinguished Paper Award (ISSTA 2022) Best Paper Award, APSEC 2020 3 rd place in AI Singapore’s Trusted Media Challenge (2022) Advising & Grants : He mentors seven PhD/MSc students and leads research teams funded by initiatives like SMU’s Lee Kong Chian Fellowship. His labs focus on autonomous systems testing and AI-driven security tools .

Vinod NigadeView profile

Visiting Professor

• Deep Learning
• Edge Computing
• Video Analytics
• +5 more

Vinod Nigade is a Visiting Professor in the Department of Computer Science at Vrije Universiteit Amsterdam (VU). His research focuses on edge computing, deep learning systems, and network security. He holds a PhD in Computer Science from VU, defended in 2023 with his thesis Latency-Critical Inference Serving for Deep Learning . Key research areas include: Dynamic edge networks and latency-optimized inference systems IoT communication protocols and battery-free device synchronization Neural intrusion detection in programmable networks Distributed deep learning architectures Collaborations span academia-industry projects involving real-time systems, network programmability, and cybersecurity. His work addresses challenges in timely video analytics, service-level objectives in edge computing, and scalable exploit detection in distributed environments. Publications emphasize practical solutions for latency-critical applications, with contributions to ACM, IEEE, and other top venues. Current research trends include accelerating IoT discovery protocols and enhancing network security through AI-driven systems.

Yi WuView profile

Assistant Professor

• Mobile Sensing & Computing
• Wearable Software Engineering
• Cybersecurity & Privacy
• +3 more

Dr. Yi Wu is an Assistant Professor at the School of Computer Science within the Gallogly College of Engineering at the University of Oklahoma. His research focuses on mobile sensing, wearable computing, cybersecurity, and smart healthcare applications, leveraging machine learning and signal processing. He holds a Ph.D. in Computer Science from the University of Tennessee, Knoxville, and has conducted postdoctoral research at Emory University, alongside industry internships at Snap Inc. and Truveta. Education: Ph.D., Computer Science, University of Tennessee, Knoxville M.S., Computer Engineering, Rutgers University B.S., Automation and Engineering, University of Electronic Science and Technology of China Research Interests: Dr. Wu specializes in mobile sensing technologies for health monitoring, wearable device security, and adversarial attacks on IoT systems. His work bridges hardware innovation with software engineering, emphasizing real-world applications like cycling fitness tracking (SmarCyPad) and AR/VR security (Face-Mic). Key Themes: Human-computer interaction, privacy-preserving biomedical systems, and embedded sensor networks. Publications Trends: His recent work spans cybersecurity vulnerabilities in AR/VR systems, lightweight biosensor technologies, and astrophysical studies of rotating stellar systems. The latter appears to represent a secondary research focus or collaborative area, with publications extending to 2023 despite primary CS affiliation. Awards: None explicitly listed. Grants/Advising: No details provided in available texts. Labs/Teams: No specific lab affiliations mentioned beyond departmental resources.

• Biomedical Engineering
• Electrical Engineering
• MEMS/NEMS Technology
• +5 more

Dr. Said Al-Sarawi is an Associate Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide, affiliated with the Centre for Biomedical Engineering (CBME) and The Centre for High Performance Integrated Technologies and Systems (CHiPTec). He holds a PhD in Electrical and Electronic Engineering (2003) and a Graduate Certificate in Education (2006). His research focuses on biomedical engineering, MEMS/NEMS technologies, neuromorphic systems, and secure hardware/software co-design. Dr. Al-Sarawi leads multiple research initiatives including advanced integrated circuits using Gallium Nitride, fall detection systems for elderly care, and memristor-based neuromorphic applications. He has secured funding from the Premier’s Research and Industry Fund (PRIF), ARC Discovery grants, and international collaborations. Current projects involve 24 PhD students and postdoctoral researchers across biomedical sensors, cybersecurity in AI, and space-based sensor systems. He has been recognized with the University Medal (2003) for postgraduate academic excellence and actively contributes to education committees within the university. His work spans interdisciplinary domains, bridging biomedical innovations with cutting-edge electronics and cybersecurity solutions.

Christophe HauserView profile

Assistant Professor

• Software Security
• Program Analysis
• Formal Methods
• +8 more

Christophe Hauser is the Speers Family Assistant Professor of Computer Science at Dartmouth College and a member of the Meeting New Challenges of Cybersecurity Cluster. His research focuses on software security, particularly in developing models to analyze cyber attacks and defenses across software and hardware boundaries. He previously served as a Research Lead and founded the Binary Analysis and Systems Security (BASS) group at the University of Southern California’s Information Sciences Institute (USC-ISI) and was a postdoctoral researcher at the University of California, Santa Barbara’s Seclab. Hauser holds a joint PhD from CentraleSupélec in France and Queensland University of Technology in Australia, combining expertise in computer science and cybersecurity. His research interests include software security, program analysis, formal methods, machine learning applications in vulnerability discovery, and privacy-preserving systems. He specializes in binary code and firmware analysis, reverse engineering, and intrusion detection systems. Hauser’s recent work emphasizes automated fuzzing techniques, static and dynamic analysis of binary executables, and privacy-preserving solutions. His projects often bridge theoretical foundations with practical applications, such as improving vulnerability detection through neuro-symbolic methods and enhancing system security against DoS attacks. He has led initiatives such as the BASS group and contributed to the angr binary analysis platform. His work has resulted in impactful datasets like BinPool and tools like BinHunter for vulnerability localization.

Johannes BauerView profile

Professor

• Applied Cryptography
• Embedded Systems Security
• Vulnerability Assessment
• +7 more

Prof. Johannes Bauer is a Professor of Computer Science at Cooperative State University Mannheim (DHBW Mannheim) since 2022. He holds a Ph.D. in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2016), focusing on cost-effective security measures for embedded systems. His research spans applied cryptography, vulnerability assessment, side-channel analysis, and hardware security modules (HSMs). Professional Experience: 2022–Present: Professor at DHBW Mannheim 2018–2021: Principal Designated Engineer for cybersecurity standards at Underwriters Laboratories 2016–2018: Product Security Officer at Robert Bosch Smart Home GmbH Research Interests: Embedded systems security Physical-layer attacks and covert channels Cold-boot attacks and memory forensics Hardware-software co-design for security Smart grid cybersecurity Publications Highlight: His 2016 Ph.D. thesis introduced novel methods for timing side-channel detection and anti-EMI feature abuse. Recent work includes analyzing demand response capabilities in smart grids (2019). Labs/Teams: Active in cybersecurity research groups, contributing to standards like ETSI EN 303 645 and UL MCV 1376. Collaborates with industry partners on embedded system hardening.

Erik PollView profile

Associate Professor

• Software Security
• Formal Methods
• Secure Input Handling
• +7 more

Erik Poll is an Associate Professor in the Digital Security (DiS) research group at the Institute for Computing and Information Science (ICIS), part of Radboud University's Faculty of Science. His work focuses on software security through formal methods and rigorous engineering approaches, addressing vulnerabilities in protocols like TLS, SSH, and payment systems (EMV, EV charging). He also explores applied security in smartcards, RFID, TEEs, and industrial IoT standards (OPC-UA). Research Interests: Core areas include secure input handling (LangSec), fuzzing techniques, cryptographic protocol analysis, and critical infrastructure security. He has pioneered protocol state fuzzing for analyzing implementations of OpenVPN, SSH, and TLS. Applied work spans smart grid security, automotive systems, and privacy in digital identity wallets. Teaching: Leads courses on Web Security, Software Security, and Security Protocol Projects in Radboud's Cyber Security and Software Science programs. Organizes the NymaCon hacking competition and maintains materials for cybersecurity education in Dutch high schools. Advising & Grants: Currently supervising four PhD students (listed above). Principal investigator on projects like Find2Fix (NWO 2025-2029), NOLAI (2022-2032), and INTERSECT (2020-2028). Collaborates with Dutch cybersecurity organizations like ACCSS and OWASP Netherlands. Labs/Teams: Active in ICIS's Digital Security group, leading the confidential contact team for PhD students. Co-developed open-source smartcard tools and contributes to standards like the Dutch National Cyber Security Research Agenda (NSCRA III).

Ileana BuhanView profile

Assistant Professor

• Hardware Security
• Cryptography
• Side-Channel Attacks
• +3 more

Ileana Buhan is an Assistant Professor at Radboud University Nijmegen's Digital Security Group and a member of the CESCA Lab. Her research focuses on hardware security, particularly advancing tools for secure hardware design and mitigating side-channel vulnerabilities. She previously held roles at Riscure (2011–2020) as a security evaluation manager and product manager, and at Philips Research (2008–2010) as a senior scientist. She earned her Ph.D. in Cryptography with Noisy Data from the University of Twente in 2008, recognized with the 2008 EBF European Biometrics Research Industry Award. Her work emphasizes practical security evaluation methods, automated leakage modeling (e.g., ABBY tool), and hardware-software co-design for resistance against side-channel attacks. She actively contributes to conferences like CHES, FDTC, and CARDIS, often in program committee roles. Recent invited talks include topics such as AI-driven vulnerability prediction, architecture-level simulators for root cause analysis, and automated tools for cryptographic implementation security. Her research spans RISC-V processors, microarchitecture analysis, and the intersection of machine learning with hardware security. Notable contributions include frameworks for leakage detection, fault simulation, and explainable side-channel analysis. She balances academic rigor with industry relevance, aiming to bridge gaps between theoretical security and real-world implementation challenges.

Xavier de Carné de CarnavaletView profile

Assistant Professor

• Network Security
• Privacy
• Web Security
• +4 more

Xavier de Carné de Carnavalet is an Assistant Professor at Radboud University's Digital Security group within the Faculty of Science. His research focuses on network security, privacy, web security, and applications of machine learning in cybersecurity. He holds a PhD from Concordia University (2019) and completed postdoctoral work at Carleton University's CCSL lab. Research Interests: Network Security & Privacy Passwords & Authentication Systems Embedded/Firmware Security Machine Learning for Cybersecurity Home Router Vulnerabilities TLS Interception Mechanisms Publications highlight trends in analyzing security configurations (home routers), detecting vulnerabilities (command injection in firmware), and evaluating TLS interception practices. His work often bridges technical security analysis with human factors influencing secure practices. He has contributed to major conferences like CHI, NDSS, and USENIX Security. Notable projects include analyzing password strength meters and verifying TrueCrypt's build integrity. Current research includes database breach analysis and cryptographic software hardening. Labs/Teams: Active contributor to the Digital Security group at Radboud University, collaborating with institutions like HK PolyU and Concordia's Madiba Security Research Group.

• Low-Level System Security
• Binary Exploitation
• Code Analysis
• +2 more

Jannik Hartung is a researcher at the Institute for Application Security under the Carl-Friedrich Gauss Faculty at Technical University of Braunschweig. He joined the university in December 2020 as a PhD candidate, contributing to low-level system security, binary exploitation, and code analysis research. Research focus on low-level system security , binary exploitation , and code analysis . Active participant in Capture The Flag (CTF) competitions , having qualified for the DEFCON CTF finals. He serves as a teaching assistant for courses like Seclab , Hacklab , and Seminar since 2021. His work includes supervising theses on topics such as Exploring and Fuzzing the Starlink User Terminal Firmware (2025) and Evaluation of Fuzzing Techniques for Automotive ECUs (2024). Contact details: Room IZ 246, email jannik.hartung@tu-braunschweig.de , phone 0531/391-2273.

• Cybersecurity
• Distributed Ledger Technology
• Privacy-Preserving Machine Learning
• +3 more

Dr. Pavlos Papadopoulos is a Lecturer in Cybersecurity at Edinburgh Napier University's School of Computing Engineering and the Built Environment , with a PhD in Privacy-Preserving Systems around Security, Trust and Identity (2022) and MSc in Advanced Security and Digital Forensics (2019). He is an Associate Fellow of the Higher Education Academy and member of the Blockpass Identity Lab . Research Interests : Cybersecurity, Distributed Ledger Technology, Privacy-Preserving Machine Learning, and Network Security Notable Projects : TrueDeploy (funded by Innovate UK, Scottish Enterprise, Royal Academy of Engineering), GLASS (Distributed Data-Sharing Model), and Crossborder Personal Data Federation His work has been recognized with multiple awards including Outstanding Young Person in Cyber (2022) and Start Up of the Year (2025) for TrueDeploy. He has over 30 publications cited 820+ times, with recent focus on Explainable AI for DDoS detection, secure manufacturing frameworks, and EU digital governance transformation. Scientific Contributions: Developed TrueDeploy platform for secure software development Created GLASS model for decentralized governance Advancing privacy-preserving machine learning frameworks Researching blockchain applications in healthcare and public sector

Bruce SchneierView profile

Adjunct Professor

• Cybersecurity
• Cryptography
• Information Security
• +5 more

Bruce Schneier is an internationally renowned security technologist and Adjunct Professor at the Munk School of Global Affairs & Public Policy, University of Toronto. He also holds roles as a Fellow at Harvard's Berkman Klein Center, Lecturer at the Harvard Kennedy School, and Chief of Security Architecture at Inrupt, Inc. His work spans academic research, policy advocacy, and industry leadership. Primary affiliations: Munk School, Harvard University, Inrupt, Inc. Key roles: Adjunct Professor, Fellow, Lecturer, Chief Security Architect Research focuses on cybersecurity, cryptography, privacy, and the societal impacts of technology. Notable contributions include influential books like A Hacker’s Mind , academic papers on cryptanalysis (e.g., Serpent cipher analysis), and essays on democracy and AI governance. He critiques systemic vulnerabilities and advocates for ethical technology use. Articles highlight interdisciplinary threats (e.g., tax loopholes as hacks) and propose frameworks for resilient systems. His work bridges technical and policy domains, addressing both narrow cryptographic flaws and broad institutional failures. Awards and recognitions include his New York Times bestseller status and role as a trusted advisor on cybersecurity to governments and organizations worldwide. He actively advises NGOs like EFF and AccessNow, emphasizing public-interest technology.