Dr. Jeewanie Jayasinghe Arachchige is a Lecturer in the Department of Computer Science at Vrije Universiteit Amsterdam, Faculty of Science. She teaches undergraduate courses including Bachelor Project Computer Science, Professional Development, and Software Engineering Processes for the academic year 2024–2025. Her research focuses on process mining , healthcare informatics , and data security . She applies process mining to analyze healthcare pathways and subpopulation treatment variations, develops explainable AI frameworks for predictive analytics, and examines data governance in emerging architectures like Data Lakehouses. Her work intersects legal informatics, particularly formalizing Sri Lankan civil court processes using ontology engineering. Recent publications highlight trends in balancing simplicity and complexity in process modeling, Industry 4.0 healthcare applications, and cybersecurity in model-driven web development. She has contributed to over 20 peer-reviewed articles since 2006, spanning topics from service-oriented architectures to value network analysis. Her teaching and research emphasize practical applications of IT in healthcare, legal systems, and enterprise environments. No ancillary activities are currently recorded.
Bryan H. Choi is an Associate Professor of Law at the University of Colorado Law School , where he bridges law and computer science to address software and AI safety. His work on software liability has influenced national cybersecurity strategy discussions. As an Adviser for the ALI Principles Project on Civil Liability for Artificial Intelligence , he shapes legal frameworks for emerging technologies. Education : JD and AB in Computer Science from Harvard University; clerkships with U.S. Court of Appeals judges Leonard I. Garth and William C. Bryson. Roles : Former joint appointment at Ohio State University Law School and Computer Science Department; Faculty Fellow at UPenn's CTIC; Director of Law and Media at Yale's ISP. Research Focus : Choi's scholarship examines software liability , AI accountability , and privacy law through interdisciplinary lenses. He critiques institutional approaches to software safety and advocates for empirical legal frameworks over participation-based models. Recent Articles address AI malpractice , NIST software standards , and forensic tool validation , reflecting trends in AI regulation and cyber-physical system liability . His 2021 NSF grant funded technical-legal methods for safety-critical systems. Awards & Grants : National Science Foundation (NSF) Grant (2021) Adviser, ALI Principles Project on Civil Liability for Artificial Intelligence Community Engagement : Active in Law and Computer Science communities , serving on committees for the ACM Symposium , Cybersecurity Law and Policy Scholars Conference , and co-organizing the AAAI Bridge Program on AI and Law .
Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in Human-Centered Design & Engineering , the Paul G. Allen School of Computer Science & Engineering , and the Information School at UW. He is a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University and a Fellow at the Center for Information Technology Policy at Princeton University during the 2023–2024 academic year. Educational Background : PhD in an interdepartmental program at Massachusetts Institute of Technology (MIT) , involving the MIT Sloan School of Management and the MIT Media Lab , advised by Eric von Hippel, Yochai Benkler, Tom Malone, and Mitch Resnick. MS in Media Arts and Sciences from MIT. B.A. in Technological and Legal History from Hampshire College . Research Interests span peer production, online communities, collective action, cooperation, learning, and computer-mediated communication. His work explores how communication and information technologies shape social outcomes in collaborative environments like Wikipedia and Linux, focusing on governance, moderation, anonymity, and educational platforms such as Scratch. Article Trends : His publications analyze peer production dynamics, privacy in open collaboration, and computational thinking in youth. Topics include underproduction in open source software, algorithmic fairness, taboo knowledge production, and legitimate peripheral participation in online communities. Methodologies combine big data, quasi-experimental, and comparative analyses. Scientific Awards : Dordick Award for Best Dissertation (2013). CHI '22 Best Paper Honorable Mention (2022). CSCW '18 Best Paper Honorable Mention (2018). CHI '17 Best Paper Honorable Mention (2017). CSCW '13 Best Paper Award (2013). CHI '11 Best Paper Honorable Mention (2011). Advising and Grants : He co-founded the Community Data Science Collective and collaborates with researchers like Aaron Shaw. Grants include multiple National Science Foundation awards for studies on digital knowledge commons, anonymous participation, and collaborative success, as well as a Sloan Foundation grant for modeling underproduction in peer production. Labs and Teams : He leads the Community Data Science Collective , an interdisciplinary research group studying online communities, and contributes to open-source projects like Debian and Ubuntu . He actively edits Wikimedia projects and participates in the Cascadia Wikimedians User Group .
Dr. Brady D. Lund is an Assistant Professor at the University of North Texas, focusing on interdisciplinary research at the intersection of information science, artificial intelligence, and ethics. His work addresses AI adoption in libraries, data privacy, academic integrity, and international development. He holds a Ph.D., M.S., and B.S. from Emporia State University and Wichita State University. Education: Ph.D., Emporia State University M.S., Emporia State University B.S., Wichita State University Research Interests: Dr. Lund explores how AI impacts information seeking behaviors, data privacy literacy, and library services. His work emphasizes ethical AI deployment in academic and clinical settings, with a focus on marginalized communities. Key areas include AI-driven library systems, blockchain applications for academic integrity, and the societal implications of generative AI. Research Trends: Recent publications analyze AI's role in health information, cybersecurity threat intelligence, and library leadership in minority-serving institutions. He critiques AI authorship policies, evaluates large language models, and advocates for equitable AI access in developing countries. Labs & Teams: Leads the Computational Humanities and Information Literacy Lab and the CyberCrews initiative, focusing on AI ethics, digital literacy, and interdisciplinary collaboration.
Arthur Gervais is a Professor of Information Security at University College London's Department of Computer Science. His work focuses on blockchain systems, smart contract security, and decentralized finance (DeFi) risk analysis. He has published extensively on topics ranging from privacy technologies to systemic vulnerabilities in financial cryptography. Research Interests: Gervais investigates security challenges in blockchain ecosystems, including censorship mechanisms, zero-knowledge proofs, and DeFi liquidation risks. His interdisciplinary approach bridges computer science, cryptography, and financial systems. Publications Trends: Recent articles emphasize empirical studies of DeFi attacks, hybrid fuzzing for smart contract verification, and privacy trade-offs in blockchain mixers. His work spans conferences like ACM SIGMETRICS, IEEE Security & Privacy, and World Wide Web Conference.
Dr. Bimlesh Wadhwa is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) and serves as Assistant Dean for Student Life at Tembusu College. She holds dual affiliations as a Residential Fellow at Tembusu College and an active member of the School of Computing's academic community. Her work bridges software engineering, human-computer interaction (HCI), and computing education. Dr. Wadhwa's research focuses on gender issues in HCI, software design quality, and digital well-being. She has pioneered initiatives like the Code for Community program to bring computing education to underserved groups. Her pedagogical contributions include developing courses on object-oriented design, software engineering principles, and interaction design. She actively engages with professional communities through roles such as Faculty Representative at the Singapore Computer Society Student Chapter and advisor to the Computing Club at NUS. Her recent work addresses pressing societal challenges like technology-facilitated sexual violence and integrates AI into educational contexts. She has organized major competitions including CodeXtreme and the Singapore Science and Engineering Fair, fostering innovation among students. Her interdisciplinary collaborations span healthcare applications, smart city technologies, and educational equity initiatives. Dr. Wadhwa’s scholarly contributions include over 80 publications in top venues such as FSE, CHI, and IEEE conferences. She has co-edited book chapters for Springer and Wiley on HCI and informatics, reflecting her commitment to advancing both technical and societal dimensions of computing. In addition to her academic roles, she leads MakerLab initiatives and contributes to national educational policies on computational thinking. Her work emphasizes bridging academia-industry gaps through projects like the GEAR mobile game-assisted rehabilitation system and cloud service brokerage frameworks.
David Lillis is an Associate Professor in the School of Computer Science at University College Dublin (UCD). His research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), and their applications in legal and forensic contexts. He leads projects like CeADAR (Ireland’s Applied AI Center) and the Transpire project, collaborating with organizations such as Corlytics and the Department of Enterprise, Trade and Employment. He holds adjunct roles as a Guest Professor at Beijing University of Technology’s Data Mining and Security Lab and has been a Fulbright Scholar at the University of New Haven’s Cyber Forensics Research and Education Group. Education: B.A. (Hons) in Law and Accounting, University of Limerick Higher Diploma in Computer Science, UCD M.Sc., Ph.D. in Computer Science, UCD Professional Certificate in University Teaching & Learning, UCD Research Interests: Legal AI, digital forensics, machine learning, multi-agent systems, and information retrieval. Recent work includes NLP for regulatory analysis, crop yield prediction via neural networks, and AR-driven decision support systems. Grants & Projects: Principal Investigator: Transpire (AI Platform for Regulation) SFI Funded Investigator: CONSUS (Crop Optimization) PI: CeADAR Technology Centre Teaching roles include Deputy Programme Director for Software Engineering at Beijing-Dublin International College (BDIC) since 2014. Labs & Groups: UCD Forensics and Security Research Group, ML-Labs (SFI Centre for ML Training), and the Data Mining and Security Lab (BJUT).
Thomas Jaeger is a Professor of European Law at the University of Vienna’s Faculty of Law, specializing in the Internal Market and Competition within European Commercial Law. He leads the Institute for European, International and Comparative Law and serves as President of the Austrian Society for European Law (ÖGER), a member of FIDE, advocating for Austrian perspectives in EU legal developments. His research spans European Commercial Law, State Aid Law, Media Regulation , and Intellectual Property , with notable publications addressing EU legal frameworks for transport, digital markets, and gambling concessions. Recent lectures focus on state aid challenges, constitutional identity conflicts , and merger control . Jaeger supervises dissertations requiring significant scientific contribution and has organized events like the European Law Roundtable with CJEU and State Aid Law Day . He has held visiting roles at Hannover and Munich universities and previously worked at the Max Planck Institute and UNHCHR .
Didar Zowghi is a Senior Principal Research Scientist and Science Team Leader at CSIRO Data61, Australia's national science agency. His work focuses on advancing ethical AI systems, data quality frameworks, and requirements engineering methodologies. He leads research initiatives addressing challenges in AI governance, diversity/inclusion in technology, and human-centered AI development. Research interests include AI ethics, data completeness in healthcare systems, and the application of machine learning in requirements engineering. His contributions span theoretical frameworks for responsible AI patterns, empirical studies on user perceptions of AI tools like M365 Copilot, and analysis of AI's role in global diplomatic practices. Zowghi has published extensively on topics ranging from blockchain in supply chains to pedagogical innovations in software engineering education. His work often bridges technical systems and societal impacts, emphasizing real-world implementation challenges through collaborative industry-academia projects. Notable outputs include the Responsible AI Pattern Catalogue and studies examining barriers to data quality in IoT platforms. He has pioneered frameworks linking innovation initiatives to occupational skill requirements and developed tools like Elica for dynamic requirements knowledge extraction in agile teams.
Elisabeth de Fontenay serves as the Karl W. Leo Distinguished Professor of Law at Duke University School of Law, where she researches corporate law and finance with emphasis on less-regulated financial markets. Her work examines the decline of public companies, rise of private capital, and private equity's role in debt markets and corporate governance. She has testified before Congress and presented at the U.S. Securities and Exchange Commission. Education: B.A. in Economics, summa cum laude and Phi Beta Kappa, Princeton University (two-time All-American rugby player) J.D., magna cum laude, Harvard Law School Professor de Fontenay's research bridges corporate law, finance, and regulatory frameworks, focusing on market behavior in unregulated spaces. Her scholarship analyzes contractual complexity in debt agreements, value creation by transactional lawyers, and the public/private market equilibrium. She employs interdisciplinary methods combining legal doctrine with financial market analysis to address evolving regulatory challenges. Her recent publications (2023-2025) reveal a concentrated focus on private market dynamics, debt market regulation, and governance structures in non-public entities. Key trends include examining regulatory arbitrage between public and private markets, contractual innovations in private equity, and judicial responses to complex debt disputes. Her work increasingly addresses systemic implications of declining public listings and the expansion of private capital. Professional Affiliations: Member, American Law Institute (ALI) Associate Reporter, ALI’s Restatement of the Law of Corporate Governance Research Member, European Corporate Governance Institute (ECGI) Board of Directors, American Law and Economics Association Prior to academia, Professor de Fontenay practiced corporate law at Ropes & Gray specializing in mergers and acquisitions, debt financing, and private investment funds. She maintains active engagement with policymakers through congressional testimony and SEC presentations, translating academic research into practical regulatory insights while teaching courses including Business Associations, Corporate Finance, and Private Equity and Hedge Funds.
Hilary Sigman is Professor of Economics at Rutgers University and Research Associate of the National Bureau of Economic Research (NBER), specializing in empirical environmental policy analysis. Her work bridges environmental economics, public finance, and legal frameworks through rigorous quantitative methods focused on real-world regulatory challenges. Academic Background: B.A. from Yale University M.Phil. from Cambridge University (U.K.) Ph.D. from Massachusetts Institute of Technology Sigman's research centers on environmental policy effectiveness, with three interconnected pillars: hazardous waste management (Superfund remediation, brownfield redevelopment, and liability systems), water resource economics (transboundary rivers, dam construction, and drought impacts), and waste management systems (municipal recycling and international waste flows). Her methodology combines econometric analysis of regulatory outcomes with institutional insights from policy implementation. Current projects examine climate adaptation for contaminated sites, economic consequences of China's waste import ban, and drought-related economic disruptions. Analysis of her recent publications reveals intensifying focus on climate adaptation challenges within environmental regulation, particularly regarding Superfund site resilience. The work increasingly addresses international dimensions of waste policy and transboundary water management, reflecting growing recognition of globalization's impact on environmental governance. Her empirical approach consistently links micro-level regulatory mechanisms to macro-level environmental outcomes. Professional Engagement: Research funding from National Science Foundation and Environmental Protection Agency Committee service for U.S. EPA Science Advisory Board Contributions to National Academies of Science, Engineering, and Medicine panels Teaching: Environmental Economics (Econ 432) and Applied Econometrics (Econ 609) Sigman maintains active policy engagement through government advisory roles while advancing academic knowledge through NBER affiliation. Her research program demonstrates consistent evolution from domestic regulatory analysis toward globally interconnected environmental challenges, particularly waste flows and climate adaptation in contaminated site management. Though no specific awards are documented in source materials, her sustained research funding and policy appointments indicate significant professional recognition.
Alberto Rodrigues da Silva is a Professor at the Institute Superior Técnico , part of the University of Lisbon . He teaches Fundamentals of Information Systems , primarily during the 1st Semester of the 2025/2026 academic year. His scientific interests revolve around Information Systems , Model-Driven Engineering (MDE), Requirements Engineering (RE), Social Computing , and Software Engineering . He has extensively contributed to the development of rigorous requirements specification languages like RSL (Requirements Specification Language) and its extensions (e.g., RSL-IL4Privacy for privacy policies). His collaborative work spans automated acceptance testing, GDPR compliance, and domain-specific languages (DSLs) for applications such as mobile development , digital twins , and legal contexts (e.g., LegalLanguage ). His research trends focus on integrating model-driven engineering with privacy policies , IoT applications , and low-code platforms . He has also explored tools like Maestro for data classification and usability testing, and RiverCure for flood simulation. Email: alberto.silva@tecnico.ulisboa.pt .
Mitra Bokaei Hosseini is an Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. She holds a Ph.D. in Computer Science from UTSA, an M.S. in Information Technology from K.N. Toosi University of Technology, and a B.S. in Information Technology from Qazvin Islamic Azad University. Her research focuses on legal compliance, natural language processing (NLP), privacy, and software engineering, with an emphasis on regulatory compliance frameworks, privacy policy analysis, and automated tools for policy adherence. Her work bridges NLP techniques with practical applications in software development and mobile security. Key research trends in her articles include privacy policy analysis, automated extraction of regulatory requirements, and the use of machine learning (e.g., few-shot learning, large language models) to align code with privacy policies. Her work addresses challenges in disambiguating policy ambiguities, identifying third-party entities, and ensuring compliance in mobile applications. No scientific awards are explicitly mentioned. Her advising record and grants are not detailed in the provided texts. She may be affiliated with research teams or labs focused on privacy and NLP, though specifics are not listed.
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. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.
