Prof. Gabriela Alves Werb, Ph.D. is a faculty member affiliated with the Bundesbank Research Data and Service Centre (RDSC) and holds her academic background from Johann Wolfgang Goethe University Frankfurt am Main. Her research spans interdisciplinary areas at the intersection of finance, machine learning, and digital economy, with a focus on non-financial risks and search engine analytics. Education: Doctoral Dissertation (2020), Goethe-Universität Frankfurt Research Interests include machine learning applications in financial risk assessment, user-generated content analysis, and digital marketplace dynamics. Her work bridges computational methods with economic policy challenges. Recent Publications highlight trends in climate-related financial data, predictive modeling in marketing, and the economic implications of search engine visibility. Key subfields span ESG investing, SEO vulnerability, and digital risk assessment.
Cobus Jooste is a Senior Lecturer in Law at the Department of Law, Faculty of Business and Law, University of the West of England (UWE Bristol). He specializes in Intellectual Property Law, with a strong focus on digital environments, cyberlaw, artificial intelligence, and technology law. He teaches courses including Intellectual Property Law (LLB), International Intellectual Property Law (LLM), Cyberlaw (LLB), and Technology Law (LLM), and serves as one of the Assessment Offences Advisors in Bristol Law School. His research centers on the intersection of law and technology, particularly the digital exploitation of intellectual property rights. Key areas include: Intellectual Property Law in the digital environment Cyberlaw and ICT law Copyright exceptions, particularly software decompilation Data protection and privacy AI and intellectual property His doctoral research addressed the decompilation of computer object code and permissible copyright exceptions in the UK, USA, and South Africa, with findings published in the SAIIPL . He is the sole or co-author of four book chapters across three books on IP, data protection, and electronic IP law. While recent articles are not listed due to technical loading issues, his scholarly output reflects a consistent focus on emerging technological challenges in IP law. Cobus was previously a Postdoctoral Fellow at Stellenbosch University’s Faculty of Law and a Lecturer in the Department of Mercantile Law, where he taught similar subjects. He also served as a Fellow at the Anton Mostert Chair of Intellectual Property Law. His expertise bridges academic rigor and practical application in evolving digital legal frameworks. He holds the following qualifications: BA(Law) LLB LLD PGCert LTHE FHEA (Fellow of the Higher Education Academy) Though no formal advisees or awards are listed in the current profile, his role as a senior lecturer and active researcher suggests ongoing supervision and potential grant involvement. He is actively engaged in curriculum development and academic governance through his teaching and advisory roles.
Prof. Dr. Hayrunnisa ÖZDEMİR is currently serving as the Head of the Department of Civil Law at Ankara Sosyal Bilimler Üniversitesi (ASBU) Faculty of Law. She has previously held academic positions at Erzincan University Faculty of Law where she completed her obligatory service period. Her academic career spans over a decade with significant contributions to civil law, consumer protection, and data privacy fields. Dr. ÖZDEMİR completed her entire academic education at Ankara University Faculty of Law, earning her Bachelor's, Master's, and Doctorate degrees from this institution. Her doctoral research focused on 'The Protection of Personal Data in Electronic Communications.' She has also conducted research at prestigious Swiss universities including Basel and Fribourg, supported by governmental scholarships and TÜBİTAK funding. Her research interests span multiple critical areas of contemporary legal scholarship. She has made significant contributions to Consumer Law, particularly in automotive sector liability and defective goods. Her expertise in Personal Data Protection extends to children's data privacy in social media environments and healthcare contexts. She has conducted comparative studies on International Sale of Goods (CISG) with a focus on Turkish-Swiss legal comparisons. Her work on Electronic Communications Law addresses modern challenges in digital environments, while her research on Similarities between Ottoman and Turkish Law of Obligations provides historical perspective to contemporary legal frameworks. She has also dedicated substantial work to Children's Rights and Medical Law applications within civil law contexts. Analysis of her recent publications reveals a clear trajectory toward increasingly specialized research in digital privacy, medical law applications, and consumer protection in emerging technological contexts. Her work demonstrates a strong interdisciplinary approach, bridging traditional civil law with contemporary challenges in digital environments, healthcare, and consumer rights. The publications show a consistent focus on practical applications of civil law principles to real-world scenarios, with particular attention to vulnerable populations including children and healthcare consumers. As an academic leader, Dr. ÖZDEMİR has supervised numerous doctoral and master's theses across various civil law specializations. Her editorial work includes significant contributions to legal publications and she serves as a reviewer for multiple academic journals. She has been actively involved in academic governance as a member of faculty boards and has contributed to institutional development through her leadership roles. Dr. ÖZDEMİR has established herself as a prominent scholar in civil law through her extensive publication record, academic leadership, and commitment to advancing legal education. Her work bridges traditional legal scholarship with contemporary challenges, particularly in digital environments and healthcare contexts, making significant contributions to both theoretical understanding and practical applications of civil law principles.
Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.
Prof. Dr. Saša Adamović is a faculty member at Singidunum University in Belgrade, Serbia, affiliated with the Faculty of Informatics and Computer Science . His academic career spans over 15 years with a focus on Cryptography, Biometrics, and IoT Security . Born October 15, 1985, in Drvar, Bosnia and Herzegovina PhD in Advanced Security Systems (2013), Master’s in Contemporary Information Technologies (2008), and Bachelor’s in Business Informatics (all from Singidunum University) His research interests include: Biometric Cryptography Blockchain for IoT Security Catalan Number Applications in Cryptography Machine Learning in Security Systems Virtualization and Energy Efficiency Steganography and Forensics Recent publications highlight trends in: IoT Healthcare Security (2022) Biometric Authentication (2021) Combinatorial Cryptography (2021) Machine Learning for Diabetes Prediction (2021) Distance Learning Security (2023) He served as one of five Serbian representatives in the Open World program (USA) for expert exchange in technology development.
Prof. Dr. Claudia Bünte is a full-time Professor of Business Administration with a focus on Digital Marketing at the Berlin School of Management, SRH Berlin University of Applied Sciences. Since 2016, she has served as a Managing Partner at Kaiserscholle GmbH, Centre of Marketing Excellence. Her research prioritizes artificial intelligence applications in marketing, brand strategy, and ethical AI frameworks. Doctorate (Dr. phil.) in Marketing, University of Münster (2005) Diploma in Social and Business Communication, University of the Arts Berlin (2000) Her academic work investigates AI-driven marketing transformation, including predictive analytics, algorithmic bias mitigation, and digital brand management. Publications span AI ethics, B2B automation, and cross-industry technology adoption. She has delivered keynote speeches at institutions like the Art Directors Club Germany and AI for Business Zurich. Recent publications highlight trends in AI ecosystems, marketing automation, and ethical considerations across business sectors. Awards include being a publicly appointed marketing expert and Vice Marketing Head 2020 by One-to-One journal. Publicly appointed and sworn marketing expert (2020–present) Vice Marketing Head, One-to-One Trade Journal (2020) As a consultant and speaker, she bridges academic research and industry practice, contributing to German business publications like Horizont and FAZ Magazin. Her work emphasizes practical implementation of AI in marketing strategy and operations.
Robin Carpentier is a Research Fellow at the School of Computing, Macquarie University . His work focuses on Data Privacy , Information Management , and Hardware Security , particularly in developing secure personal data management systems using Trusted Execution Environments (TEE) and SGX technology. Research Interests : Secure data processing with third-party code Privacy-preserving computation frameworks Hardware-based security for databases Dimensionality challenges in text privacy Resource-constrained privacy-preserving methods Recent Publications Trends : Robin's research over the past decade has explored data leakage mitigation, TEE-optimized database operations, and privacy-preserving mechanisms for large-scale data applications. His 2024 work extends these principles to secure AI/LLM interactions and advanced text privacy techniques.
Anne Kjersti C. Befring is a Professor at the University of Oslo 's Department of Public Law. She is one of the Nordic countries' leading experts in health law and life sciences , with a focus on genetic mapping , AI in healthcare , and data privacy regulations . Doctorate in Law (2019) on Legal Perspectives on Personalized Medicine Co-founder of the Nordic PerMed Law network (2019-2021) Current legal researcher in the Morgi life science project (2022-present) Her research spans health law , administrative law , and constitutional law , particularly examining how GDPR intersects with national healthcare regulations, patient rights in data sharing, and ethical issues in gene therapy. Recent publications focus on: AI's impact on medical decision-making Legal frameworks for biobanks Personalized medicine governance Pandemic emergency legal measures Laboratory data privacy protocols She supervises PhD candidates Vibeke Binz Vallevik (synthetic data for AI) and Ole Boye (gene therapy). Befring served as Deputy Chair of Norway's National Research Ethics Committee for Medicine and Health Sciences (NEM) from 2022-2025 and has contributed to critical policy discussions around data ethics and public health governance .
Sunoo Park is an Assistant Professor in Computer Science at NYU Courant Institute of Mathematical Sciences, with a secondary affiliation at NYU School of Law. He directs the DeTaIL Lab , focusing on security, privacy, and transparency in digital technologies. His educational background includes a J.D. from Harvard Law School, a Ph.D. in Computer Science from MIT, and a B.A. from the University of Cambridge. He is a licensed attorney in New York. His research bridges computer science and technology law , with core interests in cryptography, election security, AI ethics, blockchain, and digital policy. Recent work emphasizes legal risks in security research, verifiable voting systems, and adversarial robustness in AI. Park's publications (2017–2025) reveal strong trends in cryptographic applications for societal challenges , including election auditing, deniable encryption, and blockchain vulnerabilities. He consistently addresses tensions between technological capabilities and legal/policy frameworks. Teaching includes graduate courses on Digital Technology Law and AI Ethics , alongside clinical work in NYU's Technology Law & Policy Clinic. Service roles include program committees for IEEE Security & Privacy and NeurIPS (Ethics Committee).
Joana Covelo de Abreu is an Assistant Professor at the School of Law of the University of Minho since 2021. She previously held positions as Invited Professor (2015-2021) and Invited Assistant (2013-2015) at the same institution, and was an Invited Main Researcher at the MEP CRUZ's Cabinet of the European Parliament (2014). PhD in EU Law (2012-2015) Master's in Judicial Law (2008-2011) Degree in Law (2004-2008) Her research focuses on European Union Law , Digital Governance , and Judicial Cooperation . Key subtopics include Administrative Interoperability , Data Protection , Artificial Intelligence in Legal Systems , Electronic Health , and Digital Sustainability . Recent works analyze the role of AI in EU e-Justice , cross-border credit collection under digital paradigms, and judicial integration in EU litigation. She has contributed to edited volumes on digital democracy , cybersecurity ethics , and administrative principles in digital public services . Scientific awards: FCT grant SFRH-BD-79320-2011 Current research funding: Jean Monnet Network ENDE (2023-2026), eUjust project (2019-2022) Abreu has participated in multidisciplinary teams including Alessandra Silveira, Pedro Bacelar Vasconcelos, and Francisco Carneiro Pacheco Andrade, contributing to reports on cybersecurity and legal encyclopedias.
Silvia Polettini is an Associate Professor in Statistics at the Department of Social and Economic Sciences, University of Rome "La Sapienza". She has been with the university since 2011, achieving the rank of Associate Professor in 2020. Prior to this, she served as a Researcher at the University of Naples Federico II from 2005 to 2011, and worked at the National Institute of Statistics (ISTAT) from 2000 to 2005. Her academic journey began with a Statistical Officer position at the Italian Ministry of Health from 1998 to 2000. Her educational background includes: 1994: Bachelor's Degree with honors in Statistical and Demographic Sciences, University of Rome "La Sapienza" 1999: Ph.D. in Methodological Statistics, University of Rome "La Sapienza" Silvia Polettini's research spans several critical areas in modern statistics. Her work in Bayesian Statistical inference has produced innovative approaches for handling complex data structures. She has made significant contributions to Official Statistics , particularly in methodologies for data protection and disclosure risk assessment. Her expertise in Statistical Disclosure Risk Estimation and Microdata Protection has positioned her as a leading researcher in data privacy. The development of Bayesian Semi-parametric Modeling for Small Area Estimation represents another major strand of her work, with applications across social and economic domains. Her research on Measurement Error Models addresses fundamental challenges in data quality, while her work on Latent Variable Models and Survival Analysis extends into demographic and health applications. An analysis of her recent publications reveals a clear trajectory focusing on addressing underreporting issues in sensitive social phenomena, particularly violence against women, using sophisticated Bayesian methods. Her work bridges theoretical statistical innovation with practical applications in social policy. The integration of small area estimation techniques with measurement error models represents another significant theme, enabling more accurate regional and demographic analyses despite data limitations. Professor Polettini has been actively involved in numerous research projects, including several PRIN (Progetti di Rilevante Interesse Nazionale) initiatives and international collaborations. Her leadership in projects like "ESSnet on Statistical Disclosure Control" funded by Eurostat and "Data Linkage and Anonymisation" supported by the Isaac Newton Institute demonstrates her standing in the international statistical community. She has served as principal investigator for multiple research projects focused on disclosure risk estimation, small area modeling, and addressing underreporting in social data. Her teaching responsibilities include Statistics for Political Science and International Relations students, as well as Statistics for Economic Applications for International Economic and Financial Relations students. Office hours are held on Thursdays from 10am to 12pm, available both in person and online by appointment.
Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.
Stephen Rainey is a Lecturer and Researcher at Delft University of Technology, affiliated with the 4TU.Ethics research group. His work bridges philosophy, neurotechnology, and ethical governance, focusing on the implications of brain-computer interfaces (BCIs) and neurodata for human identity and rights. He has contributed to European research projects since 2011, particularly in neurotechnology ethics and responsible innovation. His research interests include: Philosophy of mind and language, influenced by Austin, Grice, and Brandom Neurotechnology and its ethical, legal, and societal impacts Theory of governance and responsible research practices Recent publications address neurorights, neuroprosthetic speech, mind-reading technologies, and data governance challenges. His work emphasizes interdisciplinary engagement, combining neuroscience, AI, and political philosophy to analyze human-technology interactions in clinical and societal contexts.
Catuscia Palamidessi is a Research Professor and head of the Comete project team (Concurrence, Mobilité et Transactions) at the Inria Saclay - Île-de-France research center. Her work focuses on privacy, security, and information flow on social networks, with particular emphasis on protecting sensitive data while preserving utility. Her primary research interests include differential privacy, location data protection, and the use of machine learning techniques for privacy preservation. She has pioneered work on Local Differential Privacy (LDP) and its integration with generative adversarial networks to balance privacy protection with data utility. Her research addresses the critical challenge of securing personal data without destroying its usefulness for services and statistical analysis. Her most notable achievement is receiving the ERC Advanced Grant in 2018 for her HYPATIA project (Privacy and Utility Allied), which seeks to optimize the security and utility of personal digital data. This €2.2 million grant has enabled her to expand her research team and develop practical privacy solutions. ERC Advanced Grant 2018 for HYPATIA project As leader of the Comete team, she oversees research that has led to practical applications like Location Guard, a browser extension that adds controlled noise to location data to protect user privacy while maintaining service functionality. Her work has established important partnerships with industry leaders like Renault and numerous academic collaborations worldwide.
Dr. John Zerilli is a Senior Lecturer in Digital Law at The Dickson Poon School of Law, King’s College London, and Program Director for the university’s online LLM in Digital Law. A philosopher and legal scholar with expertise in artificial intelligence, cognitive science, and digital governance, he bridges legal theory with emerging technologies. PhD in Cognitive Science and Philosophy Called to the Sydney Bar (2011) Research Associate, Oxford Institute for Ethics in AI Former Associate Fellow, Centre for the Future of Intelligence (Cambridge) His research explores the intersection of law and AI, focusing on tort law adaptation for deepfakes, procedural fairness in algorithmic governance, and legitimacy in private tech regulation. He advocates for training legal professionals to navigate AI’s transformative role in practice. Recent publications analyze automation bias, AI transparency, and platform governance. His 2020 book The Adaptable Mind and 2021 work A Citizen's Guide to Artificial Intelligence underscore his interdisciplinary approach. Lucy Firth Prize (2010) Cambridge Commonwealth Trust Scholarship (2008) Top thesis award at Cambridge (2009) Zerilli advises on AI’s integration into legal education and policy, emphasizing balance between innovation and rights protection. He held prior research positions at Oxford, Cambridge, and Edinburgh before joining King’s.
