Wen Li is an Assistant Professor at the School of Computing , Utah State University. Their research focuses on software security , software engineering , and network security , with significant contributions to analyzing multilingual software systems. Recent work highlights include: Characterization of multilingual software and language selection patterns Security analysis of cross-language interactions and runtime vulnerabilities Development of fuzzing frameworks like Pyrtfuzz and POLYFUZZ Investigation of dynamic information flow and memory management in complex systems Research trends demonstrate expertise in software testing, language interoperability, and security verification across programming environments.
Keng Siau is a Professor in the Department of Information Systems at City University of Hong Kong. Previously, he held roles at Missouri University of Science and Technology (2012–2021) and University of Nebraska-Lincoln (1996–2012). His PhD is from the University of British Columbia. Siau's research focuses on Human-Computer Interaction (HCI), Information Systems, AI ethics, and business technology integration. He has published over 260 papers and edited multiple conference proceedings. Research interests include generative AI applications in education/metaverse, digital marketing strategies, virtual collaboration, and AI governance. His work explores topics like investor engagement in online platforms, cybersecurity risk communication, and the impact of AI avatars on human interaction. Siau is actively involved in HCI conferences, co-chairing HCIBGO tracks at HCI international conferences since 2023. Recent articles highlight trends in AI-driven marketing, metaverse design frameworks, and ethical considerations in AI systems. He collaborates with institutions globally to advance research in virtual worlds and business analytics. Siau's contributions span theoretical and applied domains, emphasizing practical solutions for organizational agility and digital transformation.
Dr. Uchitha Jayawickrama is a Senior Lecturer (equivalent to Associate Professor) in Information Systems at the Centre for Information Management, Loughborough Business School, Loughborough University. He holds a PhD, MBA, BSc (Hons), PgCHPE, and is a Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on ERP implementations, knowledge management, AI applications in SMEs, digital transformation, and blockchain ethics. He has over 30 peer-reviewed publications and 2 best paper awards. Before academia, he worked as an Oracle Functional Consultant and IBM Solutions Manager, with expertise in ERP systems like SAP and Oracle E-Business Suite. He leads the MSc Information Systems and Digital Innovation program and manages the SAP University Alliance. His teaching spans undergraduate and postgraduate levels, and he supervises doctoral researchers. He has organized research seminars and contributed to course development in higher education. Research highlights include ERP responsiveness via big data, AI’s role in decision-making, and blockchain ethics. His work bridges academic research with industry needs, emphasizing practical solutions for SMEs and public sector organizations. Awards include recognition for innovative contributions to information systems and digital innovation. He actively reviews for journals/conferences, serves on editorial boards, and advises on ERP selection/implementation for Midlands SMEs and city councils. His interdisciplinary approach integrates technology, management, and societal impact.
Jeremy Blackburn is an Associate Professor at Binghamton University's School of Computing, where he joined in fall 2019. His research focuses on data science, large-scale measurements, and modeling of toxic online behavior, hate speech, and extremist web communities, with significant media coverage from The Washington Post, New York Times, and BBC. Education: PhD, University of South Florida MSc, University of South Florida BSc, University of South Florida Dr. Blackburn's work centers on computational analysis of social dynamics , specializing in fringe online communities and cyber social threats . His methodology combines large-scale data collection with advanced modeling to dissect hate speech evolution, platform migration effects, and disinformation campaigns. Key contributions include developing detection frameworks for coordinated aggression and analyzing ideological spaces across platforms like Reddit, Telegram, and Rumble. Recent publications (2023-2025) reveal expanding research into adaptive hate speech detection systems, LLM capabilities for counterfactual reasoning, and cross-platform extremism analysis. His work increasingly integrates vision-language models while maintaining focus on real-world applications for content moderation, with growing attention to emerging platforms like Lemmy and Rumble's podcast ecosystem. Scientific Awards: No major scientific awards were explicitly documented in source materials Dr. Blackburn secured two significant NSF SaTC grants: (1) a 2023 Medium grant for iDRAMA.cloud (measuring information manipulation), and (2) a 2021 Small grant for detecting influence campaign accounts. While specific advisees aren't listed, his active research profile suggests graduate student mentorship in data science and cybersecurity projects. His research infrastructure includes the Social Media Analysis Toolkit (SMAT) and datasets like pushshift reddit/telegram collections, supporting collaborative work on cyber social threats through his lab environment focused on computational social science and security.
Steve New is an Associate Professor in Operations Management at the Saïd Business School, University of Oxford, and a Fellow of Hertford College. His expertise spans supply chain management, process improvement, and the application of lean production systems, particularly the Toyota Production System (TPS), to healthcare and manufacturing. His research explores supply chain transparency, provenance, and ethical/environmental issues within global supply chains. He holds a PhD in visual interactive modeling for decision support from Manchester Business School and has extensive consulting experience with organizations across sectors, including the NHS and National Audit Office. Education: PhD in Management Science, Manchester Business School Bachelor's in Physics, University of Southampton Research Interests: Steve focuses on supply chain transparency, provenance theory, lean healthcare, TPS applications, and public sector service efficiency. He critiques methodologies like structural equation modeling in operations research and examines modern slavery in supply chains. Engagement & Awards: Steve advises organizations globally and serves on editorial boards for journals like the Journal of Purchasing and Supply Management . He was awarded the 1993-4 Fellowship of the Operations Management Association for contributions to purchasing research.
Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.
Emmanuel Cecchet is a Senior Research Fellow at the University of Massachusetts Amherst's Department of Computer Science. He is affiliated with multiple research groups including the Laboratory for Advanced System Software (LASS), the Commonwealth Center for Forensics & Society, and the Advanced Networked Systems Research Group. His research focuses on distributed systems, dependability, high availability, databases, and benchmarking. Cecchet has held roles as a postdoctoral researcher at Rice University, a Research Scientist at INRIA, and Chief Architect at Continuent. He has received numerous awards, including the Best Paper Award at IWQoS 2013 and the Best PhD Thesis Award from Institut National Polytechnique de Grenoble (2004). His work includes projects like BenchLab, Open Cloud Testbed (OCT), and contributions to middleware systems such as C-JDBC and Sequoia. Education: PhD in Distributed Systems from Institut National Polytechnique de Grenoble (2001). Research Interests: Operating Systems, Distributed Systems, Dependable Systems, Databases, Virtualization, Networking, and Open Source Software. He also contributes to data forensics and leads the Frog Racing foundation as an amateur car racer. Key Projects: BenchLab for realistic benchmarking, CloudLab for cloud infrastructure research, and WiFiMon for mobility analytics using WiFi sensing. He has served on program committees for Eurosys, SRDS, and other conferences.
Brit Davidson is a Senior Lecturer at the University of Bath in the Department of Management Information, Decisions & Operations. She is affiliated with multiple research centers including the Applied Digital Behaviour Lab, Centre for Qualitative Research, and Institute for Digital Security and Behaviour. Her work focuses on using digital traces to understand human behavior in security and health contexts, employing methods like machine learning, computational linguistics, and qualitative techniques. She teaches MSc courses on Data Mining and Machine Learning. Davidson also serves on the Social Sciences Research Ethics Council (SSREC) at Bath and the Security Research Ethics Council (SREC) at Lancaster University. Her research explores how individuals adapt behavior across online and offline contexts, with a focus on measurement challenges and ethical considerations. Notable projects include studies on sentiment analysis, computational reproducibility, and inclusive digital mental health tools. She has held honorary roles at the University of Bristol in Digital Health and served as a Policy Advisor in the UK Cabinet Office. Davidson has been recognized as a Global Ambassador for the UK under the Global Council for Responsible AI (2025). Her work contributes to UN Sustainable Development Goals related to health and innovation. She leads projects funded by government agencies, focusing on areas like social data bias and AI ethics.
Sharon A.M. Dolmans is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Industrial Engineering and Innovation Sciences school and the Innovation Technology Entrepreneurship & Marketing department. She also contributes to the Center for Quantum Materials and Technology Eindhoven . Education : BSc in Business (Tilburg University), MSc in Finance (Tilburg University), Premaster in Econometrics (Erasmus University Rotterdam), PhD in Technology Commercialization (TU/e, 2013). Research Focus : Collaborative technology commercialization toward societal impact, emphasizing key enabling technologies like photonics, quantum, and AI. Her work bridges technology experts and societal stakeholders to enable responsible innovation in areas such as climate change, healthcare, and cybersecurity. Projects : Leads the NWA FIQCS project on quantum cryptography and contributes to the HORIZON EIC Pathfinder CIRCULIGHT project on photonic platforms. Article Trends : Recent publications analyze smart city governance, knowledge transfer, entrepreneurial decision-making, and empowerment initiatives, with methods centered on case studies and qualitative research. Scientific Awards : Best doctoral student paper award (Academy of Management, 2020). TU/e MSc thesis award (2019). Advising & Grants : Supervises 69 works and leads funded projects, integrating academic rigor with practical stakeholder collaboration.
Jacob R. Appelbaum is a Postdoc researcher at the Department of Mathematics and Computer Science, Eindhoven University of Technology. His work focuses on cybersecurity, privacy technologies, and network security. He obtained his PhD in 2022 with a thesis on counter-strategies against pervasive surveillance architectures. Appelbaum is a prominent figure in digital privacy advocacy, contributing to projects like the Tor network and the Autonomy Cube art installation, which promotes anonymous internet access through Tor routing. His research interests include DNS security, cryptographic protocols, and mitigating surveillance tactics by governments and organizations. He has been recognized with awards such as the Best investigative reporting (2014), Crypto Best Paper Award 2009 , and the Defensor Libertatis (2012). His work often bridges technical innovation with societal impact, addressing challenges in privacy preservation and secure communication. Appelbaum has contributed to standards like IETF RFC 7686 for the ".onion" domain and exposed NSA surveillance programs through investigative journalism. His interdisciplinary projects, such as the Autonomy Cube, highlight the intersection of technology and art in advocating for digital rights.
Jeroen van der Ham de Vos is an Associate Professor at the Design and Analysis of Communication Systems department, affiliated with the Digital Society Institute. He also serves as a Guest Researcher at the National Cyber Security Centre (NCSC-NL). His research focuses on cybersecurity, vulnerability disclosure processes, and network security mechanisms, contributing to UN Sustainable Development Goals related to digital security. His work spans theoretical frameworks and practical implementations, including threat analysis of critical infrastructure (e.g., BGP protocols), vulnerability management strategies, and cybersecurity policy development. He has contributed to special issues on incident response and cybersecurity ethics, emphasizing the intersection of technical solutions and societal impacts. Recent publications highlight trends in coordinated vulnerability disclosure challenges, empirical cybersecurity investment decisions, and the analysis of emerging threats like residential proxies and commercial VPNs. His research bridges academic rigor with real-world applications, often involving collaborative efforts across institutions and government bodies.
Xin Liu is an Adjunct Professor in the Department of Civil Engineering at the Faculty of Engineering. His research focuses on cybersecurity, machine learning applications, and IoT security, with a particular emphasis on network intrusion detection, data compression, and risk-aware access control systems. He holds a Ph.D. from the University of Ottawa, Canada, and M.Sc. and B.Sc. degrees from Hebei University of Technology, China. Education: Ph.D., University of Ottawa, Canada M.Sc., Hebei University of Technology, China B.Sc., Hebei University of Technology, China Research Interests: Dr. Liu's work bridges machine learning and cybersecurity, addressing challenges in IoT security, adversarial attacks, and network traffic analysis. His contributions include developing AI-driven intrusion detection systems, optimizing data compression techniques for IoT devices, and formulating risk-aware access control frameworks. Recent efforts focus on advanced persistent threats (APTs) and privacy leakage mitigation in language models. Articles Trends: His publications emphasize practical applications of machine learning in cybersecurity, including network attack detection, privacy-preserving methods, and resilient IoT infrastructure. Recent work highlights innovations in transformer-based models for intrusion detection and realistic benchmarking for APT simulations. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: No advising records or grant information available in the current data. Labs/Teams: No specific lab affiliations or collaborative teams noted in the profile.
Konrad Witaszczyk is a Research Associate and PhD student at the University of Cambridge's Department of Computer Science and Technology, affiliated with the Computer Laboratory. His work focuses on the CHERI project, exploring kernel compartmentalization in CheriBSD and advancing memory-safe systems. He has contributed to QEMU emulation for CHERI-RISC-V, CheriBSD ports, and Poudriere infrastructure for package management. Education: BSc in Theoretical Computer Science (Jagiellonian University) and MSc in Computer Science (University of Copenhagen). His MSc thesis, 'Capability-aware memory copying between address spaces,' was supervised by Ken Friis Larsen and David Chisnall. Teaching includes Advanced Operating Systems (Part II L341/ACS L41) and supervision of student projects like the PCuABI Linuxulator for CheriBSD. Committed to EDI initiatives, he serves on the Equality, Diversity, and Inclusion Committee and Postgraduate Students' Forum. Professional activities include mentoring interns on Morello systems and contributing to open-source projects like FreeBSD and QEMU. Contact: GE10 office, konrad.witaszczyk@cl.cam.ac.uk.
Louise Axon is a Senior Research Associate in Cybersecurity at the University of Oxford. Her research focuses on security operations center monitoring, intrusion detection, and cybersecurity capacity building. Research areas include: Network security monitoring methodologies Security Operations Center (SOC) analyst perspectives Blockchain security applications Systemic cyber risk assessment Current projects explore practitioner perspectives on security alarms and control effectiveness. Recent work has examined challenges in industrial IoT security and cyber insurance data.
Dr. Jonathan Lusthaus is an Associate Professor in Global Sociology at the University of Oxford, with a joint appointment in the Department of Sociology and the Oxford School of Global and Area Studies. He directs the Human Cybercriminal Project and serves as a Governing Body Member of St Antony's College. His research focuses on the socio-economic dimensions of profit-driven cybercrime, exploring criminal organizations, market structures, and geographic hotspots. He holds a doctorate in sociology from Oxford as a Clarendon Scholar. Education: PhD in Sociology (University of Oxford, Clarendon Scholar),硕士 and bachelor's degrees not explicitly stated but implied through doctoral status. Research Interests: Cybercrime's human dimensions, socio-economic foundations of cybercriminal industries, organizational structures of illicit groups, and policy interventions. His landmark book Industry of Anonymity (Harvard UP) details a seven-year global investigation involving 250 interviews with cybercriminals, law enforcement, and industry experts. Current projects include analyzing cybercrime market economics and the offline-local dimensions of digital crime. Teaching: Convenes core methods courses on Research Design and the Sociology of Cybersecurity, cross-listed with the MPhil in Global and Area Studies. Supervises DPhil students in cybercrime, cybersecurity, organized crime, and technology sociology, emphasizing qualitative methods and fieldwork in global hotspots. Awards: Clarendon Scholarship (University of Oxford). Publications: Over 20 peer-reviewed articles and book chapters on cybercrime networks, market dynamics, and policy solutions. Key projects include the World Cybercrime Index mapping global threats and experimental studies on disrupting illicit markets. Engagement: Regular speaker at major conferences (Black Hat, Enigma), advisor to law enforcement and tech companies, and founder of the Industry of Anonymity newsletter for cybercrime analysis.
