Irina Brass is a Professor of Science, Technology and Regulation at University College London’s Department of Science, Technology, Engineering and Public Policy (STEaPP). Her research focuses on anticipatory and adaptive regulatory frameworks for emerging technologies, particularly IoT, AI, and advanced biotherapeutics. She leads projects like the REG-MEDTECH initiative and collaborates with government agencies, standards bodies, and interdisciplinary teams. Current Role: Professor at UCL STEaPP Leadership: Chair of BSI’s IoT/1 Technical Committee (2017-2021), member of Standards Policy and Strategy Committee (2020–) Her research spans: Regulation of connected medical devices and cybersecurity Governance of AI and algorithmic systems Standardization challenges for IoT and biotherapeutics Adaptive policy frameworks for disruptive technologies She leads the MPA in Digital Technologies and Policy and teaches courses on digital technology dilemmas and risk governance. Her accolades include the BSI Standards-Makers Award (2019) and UCL Provost’s Education Award (2020) .
Gias Uddin is an Associate Professor at York University's Lassonde School of Engineering and an Adjunct Professor at the University of Calgary . His research bridges Software Engineering (SE) and Artificial Intelligence (AI) , focusing on AI Trustworthiness Assessment (SE4AI) and AI-Driven Productivity Tools (AI4SE) . PhD in Software Engineering & AI, McGill University (2018) MSc in Software Engineering, Queen’s University (2008) BSc in Computer Science & Engineering, Bangladesh University of Engineering and Technology (2004) His research explores: Metamorphic Relations for LLM Hallucination Detection AI-Enhanced Software Documentation Foundational Models for Runtime System Modernization Developer-Centric AI Tooling Recent article trends show expertise in LLM Trustworthiness , Low-Code Platforms , and IoT Developer Communities . Awards include Distinguished Paper at FSE 2025 , multiple IBM Champion recognitions, and York Research Award . He leads the Data Intensive Software Analytics (DISA) Lab and mentors PhD students in SE-AI Intersections .
Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.
Hans Klein is an Associate Professor and Director of Undergraduate Studies at the Jimmy and Rosalynn Carter School of Public Policy, part of the Ivan Allen College of Liberal Arts at Georgia Institute of Technology. His research focuses on institutions and policy processes related to large technical systems like the Internet and surface transportation. He has held visiting roles at Princeton University, the Hertie School of Governance, and the Paris School of Mines. Education: Ph.D. in Political Science, MIT (1996) M.S. in Technology and Policy, MIT (1993) B.S. in Electrical Engineering & Computer Science, Princeton University (1983) Research Interests: Internet governance, globalization, and democratic accountability mechanisms Media institutions, digital persuasion, and propaganda Intelligent transportation systems (ITS) policy and institutional design Urban transit policy, including the Atlanta Beltline project Social construction of technology and policy frameworks Professional Experience: Prior roles as software developer, international marketer, and policy analyst Service on advisory committees for ICANN, the Transportation Research Board, and Atlanta’s Telecommunications Policy Advisory Committee Presentations on information warfare and political warfare at institutions like the US Special Operations University Advising & Grants: Contributed to policy design for ICANN, ITS national programs, and the Atlanta Beltline Recipient of DAAD and Chateaubriand fellowships for international academic collaborations Labs & Teams: Active in interdisciplinary policy teams focused on transportation infrastructure, digital governance, and media ethics.
Vincent Roca is a permanent researcher at Inria , a French national research institute for digital science and technology. Since 2019, he leads the Privatics research team focusing on privacy, previously part of the Planete team (2000-2012) for Internet protocols and applications. His work spans Privacy in smartphones, IoT, and web browsers Design of the ROBERT and CLEA protocols for the French TousAntiCovid app Standardization in IETF working groups, notably on FEC and network coding Co-author of Inria's cybersecurity white book (2019) Instructor of the popular Privacy in the digital world MOOC (14,006 participants) Research Interests include privacy risks in digital technologies, robust content distribution via FLUTE/ALC transport protocols and LDPC-Staircase FEC codes, and network coding for scalable services. His articles focus on privacy in LoRaWAN, contact tracing protocols, GDPR compliance, and FEC optimization. Scientific Awards include the Third Applied Research Price from FIEEC (2014) Knight Medal of the French Order of Merit (2020) Students supervised include PhD candidates in privacy-preserving IoT, secure authentication, and alumni like Samuel Pelissier (LoRaWAN privacy) and Michael Toth (GDPR compliance). Software Contributions include openfec.org (AL-FEC codes) and FLUTE/ALC implementations .
Ben Green is an Assistant Professor at the University of Michigan School of Information and holds a courtesy appointment at the Gerald R. Ford School of Public Policy. He is also a Faculty Associate at Harvard’s Berkman Klein Center for Internet & Society and a Fellow at the Center for Democracy & Technology. Green earned his PhD in Applied Mathematics from Harvard University with a secondary field in Science, Technology, and Society. His research focuses on the ethics of government algorithms, emphasizing algorithmic fairness, human-algorithm interactions, and AI regulation. He advocates for design and governance practices that prevent algorithmic harms and advance social justice. His work includes critiques of overreliance on technology in urban planning, as highlighted in his book The Smart Enough City , and ongoing projects on equitable AI policies. Green’s contributions extend to publications analyzing human oversight in AI systems, privacy in public health contexts, and the societal impacts of smart city technologies. His interdisciplinary approach bridges computer science, law, and public policy to address real-world challenges in technology governance. As a Fellow at the Center for Democracy & Technology and through his academic roles, Green collaborates on initiatives promoting ethical technology use in government and urban environments. His research has informed policy discussions on data privacy, algorithmic accountability, and equitable technology deployment.
Paul Van Oorschot is a Professor at the School of Computer Science, Carleton University. He has held the Canada Research Chair in Authentication and Computer Security from 2002 to 2023. His expertise spans authentication, applied cryptography, and network security. He co-authored the seminal Handbook of Applied Cryptography and led the NSERC Internetworked Systems Security Network (2008–2013). His research focuses on enhancing security in systems, software, and web authentication, including methods to augment passwords with geolocation and device recognition. He holds a Ph.D. from the University of Waterloo and was awarded the J.W. Graham Medal (2000) and Fellowship in the Royal Society of Canada (2011). Education: Ph.D. in Computer Science from the University of Waterloo (1988) His research interests include authentication systems, public-key infrastructure, smartphone security, and usability challenges in security design. He has contributed to frameworks like OWL for password-based key exchange and SLV for server location verification. His work addresses both technical and human factors in securing modern computing environments. Key contributions include analysis of TLS interception, memory safety in programming languages, and evaluating IoT security best practices. He has published extensively on topics ranging from side-channel attacks to cryptographic protocol vulnerabilities. Awards: J.W. Graham Medal in Computing and Innovation (2000), Fellow of the Royal Society of Canada (2011) His academic leadership includes roles in shaping cybersecurity education and policy, emphasizing the need for rigorous scientific approaches in security research. His research group, the Carleton Computer Security Lab (CCSL), drives interdisciplinary projects in software security and system administration tools.
Professor Marius Portmann is the UQ-Cisco Chair of Network Security at the School of Electrical Engineering and Computer Science (EECS), University of Queensland. His expertise spans Cybersecurity, IoT, and Applied AI. He holds a PhD from ETH Zurich (2003) and has led research in Software Defined Networking (SDN), blockchain, and energy-harvesting IoT systems. Education: PhD in Electrical Engineering from Swiss Federal Institute of Technology (ETH Zurich), 2003. Research focuses on securing IoT networks, AI-driven intrusion detection, and sustainable sensor systems. He has pioneered self-powered IoT systems using energy harvesters and developed frameworks like FlowTransformer for network analysis. His work bridges theoretical advancements with practical applications in smart tourism, energy efficiency, and edge computing. Recent publications highlight innovations in DDoS detection (P4-Secure), sensor-based environmental monitoring (EcoShower), and graph-based anomaly detection (XG-BoT). His datasets (e.g., NF-ToN-IoT-v3) are widely used in ML-based cybersecurity research. Collaborations include industry partners like Cisco and institutions like RMIT. Grants and leadership roles in interdisciplinary projects underscore his impact. He advises on IoT security standards and contributes to open-source tools for network research. Current projects explore edge-AI integration and sustainable sensor networks.
Annie Antón is a Professor in the School of Interactive Computing at Georgia Institute of Technology. Former Chair of her school, she specializes in privacy, security, software engineering, and public policy. Dr. Antón advises national defense and intelligence entities, including roles in the IDA/DARPA Defense Science Study Group (2005-2006) and the Obama-appointed 2016 Commission on Enhancing Cybersecurity for the Nation. She serves on numerous boards, including NIST Information Security & Privacy Advisory Board, Future of Privacy Forum, and former roles in U.S. DHS Data Privacy Committee and NSF Advisory Council. Her research focuses on aligning software systems with federal privacy/security regulations, emphasizing legal compliance, secure development practices, and IoT privacy challenges. Notable projects include UCON_LEGAL for HIPAA compliance and frameworks for analyzing regulatory requirements. She has contributed to policy implementations via empirical studies on user privacy perceptions and legal text mining. Dr. Antón's work bridges technical and policy domains, addressing ethical AI education, cross-border data governance, and cybersecurity preparedness. Her leadership spans academia, government, and industry through advisory roles at Intel, Microsoft Research, and the Georgia Tech Alumni Board.
Dr. Andres Guadamuz is a Reader in Intellectual Property Law at the University of Sussex, affiliated with the School of Law, Politics and Sociology. He serves as Editor in Chief of the Journal of World Intellectual Property . His research focuses on intersections of law and technology, including artificial intelligence and copyright, open licensing, cryptocurrencies, smart contracts, and blockchain. He has authored over 40 articles, book chapters, and two books, alongside regular blog posts on technology regulation. Research Interests: Artificial Intelligence and Copyright Blockchain Technology and IP Cryptocurrency Regulation Open Source Licensing Internet Governance Data Mining Legal Frameworks Publication Trends: His recent work addresses AI's impact on copyright law, NFTs, and legal challenges in smart contracts. He critically explores EU AI legislation, liability frameworks for AI inputs/outputs, and NFT authenticity issues. Teaching: Teaches courses on Digital Intellectual Property Law, Internet Law, and Information Technology IP Law, including developing the specialized LLM in IT and Intellectual Property Law. Grants/Advising: Supervises PhD/postgraduate students in his research areas. His work is widely cited in legal, academic, and policy circles, with over 100 Mendeley readers for key papers.
Tasos Dagiuklas is a Professor in the Department of Computer Science and Technology within the School of Engineering and Technology at the University of Bedfordshire. With over 168 publications spanning from 1995 to 2025, he has established himself as a leading researcher in telecommunications and network systems. His extensive publication record demonstrates continuous scholarly contribution across multiple decades in the field. Professor Dagiuklas' research focuses on wireless communications, edge computing, 5G/6G networks, quality of experience (QoE), and federated learning . His work bridges theoretical networking concepts with practical applications, particularly in multimedia delivery and security. He has developed significant expertise in video streaming optimization, network security mechanisms, and resource management in emerging network architectures. His research consistently addresses the evolving challenges of modern communication systems, with recent work increasingly focusing on AI integration in networking. Analysis of his recent publications (2023-2025) reveals a strong trend toward edge computing, federated learning, and security applications in next-generation networks. His work demonstrates a strategic shift from traditional networking concerns to more complex systems involving AI integration, energy efficiency, and heterogeneous environments. The publications show consistent collaboration with researchers across multiple institutions, with particularly strong partnerships with Muddesar Iqbal, Ilias Politis, and Stavros Kotsopoulos. Professor Dagiuklas has made substantial contributions to the academic community through his extensive publication record in high-impact venues including IEEE journals and conferences. His work has evolved from foundational networking research to cutting-edge investigations of AI-enhanced communication systems, reflecting the broader trajectory of the field itself. His research demonstrates both technical depth in specific networking challenges and breadth across multiple application domains.
Prof. Dr. Gerrit Remane is a full-time professor at Wedel University of Applied Sciences since 2018, leading the Bachelor's program in IT Management, Consulting, and Auditing (IMCA) and the Master's program in Business Information Systems / IT Management (WIM). He specializes in IT management, business intelligence, and digital transformation, integrating his industry experience from Roland Berger and academic research on digital business models and innovation. Education: Dr. rer. pol (Digital Business Models in the Mobility Sector), Georg-August-University Göttingen (2014–2017) M.Sc. Business Information Systems, Technical University of Munich (2008–2011) B.Sc. Business Information Systems, Wedel University of Applied Sciences (2005–2008) Research Interests: Digital transformation and business model innovation Agile methodologies in enterprise IT Strategic data acquisition and analytics Sustainable IT practices and Green Technology DevOps, BizDevOps, and hybrid project management His recent publications focus on digital business models, agile transformations, and sustainability in IT. He has supervised numerous student seminars on topics like ITIL maturity assessments, data privacy, generative AI use cases, and metaverse applications. While no specific scientific awards are documented, his work has been presented at conferences including AMCIS, ECIS, and WI. Gerrit Remane collaborates with scholars such as S. Schneider, A. Hanelt, and L.M. Kolbe, and his research underscores the integration of IT with organizational strategy.
Dr. Mohsin Malik is an Associate Professor of Project Management at Swinburne University of Technology (since 2023) in Melbourne, Australia. Previously, he held roles as Senior Lecturer (2018–2022) at Swinburne and Lecturer (2016–2018) at the University of Melbourne. He earned his PhD in Technology Management from the University of Western Australia (2012). His research focuses on organizational dynamics for innovative outcomes in digital contexts, sustainability in supply chains, and project management practices aligned with UN Sustainable Development Goals (SDG-9, SDG-12, SDG-3). Key areas include digital transformation, lean management, agile project management, and supply chain resilience. Dr. Malik’s work has been published in top-tier journals like the International Journal of Project Management, Information & Management, and IEEE Transactions on Engineering Management. He currently serves as Senior Associate Editor of the International Journal of Physical Distribution & Logistics Management and has secured grants totaling over AUD 1M, including a 2025–2028 project on digital transformation in Indian/Australian organizations funded by DFAT. His research explores topics such as socio-cognitive dynamics in digital transformation, lean socio-technical systems, and agency theory in international development projects. Recent projects include analyzing digital platform interactions for Australian artists and evaluating virtual healthcare barriers during the pandemic. He actively supervises doctoral and master’s students focusing on digital governance, social sustainability, and project monitoring frameworks. Dr. Malik is a globally recognized scholar, with over 23 years of academic and industry experience. He collaborates with organizations like the Victorian Music Development Office and the Australian Academy of Science, emphasizing real-world impact through research.
Professor Andrew Martin is a leading academic in Systems Security at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at Kellogg College. His research focuses on trusted computing, cybersecurity, and secure distributed systems, with applications in cloud computing, IoT, and smart grids. He has been instrumental in advancing secure architectures using hardware-based trust mechanisms such as Intel SGX and Trusted Platform Modules. Research Interests: His work spans Systems Security , Trusted Computing , Confidential Computing , Secure Multi-Party Computation , and Privacy in Distributed Systems . He investigates how hardware-enforced security can mitigate risks in large-scale environments, particularly where privacy and trust are paramount. Publication Trends: His recent publications reveal a strong focus on Trusted Execution Environments (TEEs), remote attestation, and secure cloud architectures. He critically examines the feasibility of using hardware enclaves for both defensive and offensive security, emphasizing architectural soundness and real-world applicability. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Professor Martin has supervised numerous PhD and Master’s students in cybersecurity and systems research. His projects include CRANE , Trustworthy Logging , webinos , TCLOUDS , and Secure Networking by Design (SNbD) . He has secured funding for research in trusted computing and secure distributed systems, contributing to both theoretical foundations and practical implementations. Labs and Teams: He leads a research group focused on systems security and trusted computing, collaborating with industry and academic partners on large-scale security challenges. His team works on developing secure middleware, analyzing vulnerabilities in consumer devices, and designing privacy-preserving protocols for smart infrastructure.
Pekka Abrahamsson is a Professor at the Faculty of Information Technology and Communication Sciences at Tampere University , Finland. He actively contributes to research in Software Engineering , Artificial Intelligence , and AI Ethics , with recent work focusing on generative AI, multi-agent systems, and ethical software design. Published over 42 research outputs (2016–2025) Editorial roles in multiple international conferences (2016, 2019, 2022–2024) His research emphasizes practical applications of AI in software development, including tools like ChatGPT for full-stack coding, multi-agent systems for requirements engineering, and frameworks for AI ethics in software practices. He also explores challenges in continuous software engineering and quantum computing architecture. Key publication trends (2024–2025) include: Agile methodologies enhanced by AI Ethical alignment in AI systems Autonomous software development platforms AI tool adoption in programming education Quantum software architecture reviews Technical debt in embedded systems Awards and recognitions : PlumX Metrics highlight 1 scientific prize (unspecified) High readership on platforms like Mendeley (up to 211 readers) Multiple citations in Scopus (up to 53 citations for quantum computing work) Grants and collaborations include global studies on work-from-home impacts, AI tool usage in programming courses, and projects like CodePori for autonomous development. His work influences policy and industry practices, particularly in AI ethics and multi-robot systems.
