London School of Economics and Political Science (LSE)United Kingdom
Bryan Roberts is an Associate Professor in the Department of Philosophy, Logic and Scientific Method at the London School of Economics (LSE). His work bridges philosophy of medicine, philosophy of science, and AI ethics, with a focus on evidence appraisal in healthcare, generative AI capabilities, and academic integrity in the AI age. He leads the International Research Network on Justice and Interest and has organized conferences such as 'Foundations of Quantum Theory' and 'Quantum Investigations.' Roberts' research critiques evidence hierarchies like the 'evidence pyramid,' explores AI's impact on education and ethics, and analyzes detection mechanisms for AI-generated content. He co-authored a systematic review of qualitative evidence tools with the EULAR working group and regularly publishes open-access articles on his blog, addressing topics from Socratic dialogues to AI's role in crossword puzzles. His academic leadership includes shaping LSE's MSc programs in philosophy of science and public policy. Roberts has advised on interdisciplinary projects, including the Lakatos Award conferences, and maintains active engagement with both academic and public audiences through lectures, interviews (e.g., with Michael Redhead and Talal Debs), and social media. His writing style blends rigorous analysis with accessible outreach, emphasizing critical thinking and the societal implications of scientific advancements.
National and Kapodistrian University of AthensGreece
Alexandra Christina is affiliated with the Department of German Language and Literature at the National and Kapodistrian University of Athens. Her work bridges computational linguistics, human-computer interaction (HCI), and political/journalistic text analysis. She specializes in natural language processing (NLP), sentiment analysis, terminology management, and multilingual applications. Her research focuses on extracting implicit information from spoken and written texts, with applications in medical chatbots, aircraft maintenance communication, and political discourse analysis. Notable projects include the 'Athena' medical chatbot, Gricean maxim modeling in NLP, and HCI design for international conferences. Key Areas: Generative AI, ethical AI frameworks, cross-lingual dialogue systems, and cognitive bias analysis in ancient/modern texts. Publications: Over 100 peer-reviewed articles since 2007, including works on terminology databases, HCI conference proceedings, and sentiment analysis platforms. Her recent work emphasizes socially responsible AI, integrating NLP with ethical guidelines, and leveraging crowd-sourced data for unspoken sentiment detection. She collaborates on multilingual terminology projects like TERMONLINE and CNCTST database initiatives.
Linda Schlegel is a Research Fellow at the Peace Research Institute Frankfurt (PRIF) in the Research Department Transnational Politics and at modus Centre for Applied Research on Deradicalization. She serves as co-project leader of the RadiGaMe project since 2023 and is a founding member of the Extremism and Gaming Research Network (EGRN). Schlegel also holds membership in the Expert Pool of the Radicalisation Awareness Networks (RAN) since 2022 and is part of the European Expert Network on Terrorism Issues (EENeT) since 2025. Her educational background includes a PhD from Goethe University Frankfurt/M. (completed 2020-2023), an M.A. in Extremism Studies from King's College London (2016-2017), and a B.A. in Liberal Arts from University College Maastricht (2012-2015). Schlegel's research centers on the intersection of gaming and extremism, with particular focus on how digital gaming platforms facilitate radicalization processes and how narrative campaigns can counter extremist messaging. Her work explores the gamification of extremist content, user behavior in gaming environments, and the development of positive interventions within gaming communities. She has pioneered research on how fictional storytelling can enhance the effectiveness of counter-extremism narrative campaigns, arguing that fantasy elements increase persuasive impact in digital P/CVE efforts. Analyzing her publication trajectory reveals a clear evolution from theoretical explorations of online radicalization processes toward practical interventions in gaming spaces. Her early work examined foundational concepts like 'user types' in digital radicalization processes and the role of perceived self-efficacy in radicalization. More recently, her research has shifted toward actionable strategies, including toolkits for practitioners, positive gaming interventions, and policy recommendations for gaming platforms. A consistent thread throughout her work is the emphasis on narrative approaches to counter extremist messaging in digital spaces. Schlegel leads significant research initiatives including the RadiGaMe project on radicalization processes on gaming platforms and messenger services. She has provided policy advice to the United Nations Office of Counter-Terrorism, the European Commission's Knowledge Hub on Prevention of Radicalization, and the Radicalisation Awareness Network. Her work bridges academic research with practical counter-extremism efforts, particularly through her involvement with GIFCT working groups focused on gaming communities. She is actively engaged with multiple research networks including ACONA, ANCIP, CBWNet, and the Leibniz Cooperations. Schlegel co-founded the Extremism and Gaming Research Network to specifically address the nexus between gaming culture and extremist activities, recognizing gaming platforms as emerging spaces for both radicalization and prevention efforts.
Veronika Cheplygina is a Professor at the IT University of Copenhagen and leads the Data-intensive Systems and Applications research group within the Pattern Recognition Revisited lab. Her work focuses on Machine Learning , Medical Image Analysis , and Pattern Recognition , with particular emphasis on Open Science practices and Bias in Medical AI . Primary Affiliation: Department of Data Science and Artificial Intelligence Research Metrics: 20 publications, 2 projects (2021-2025), 2 datasets Her research addresses critical challenges in medical imaging datasets, including annotation bias , data reuse , and fairness in AI through active collaboration with institutions across 5 countries. She has contributed to major conferences like NeurIPS and MICCAI. Scientific Funding & Recognition: Principal Investigator (PI) for Making Metadata Count (MMC) (Danmarks Frie Forskningsfond, 2022-2025) PI for Choosing a Transfer Source for Medical Image Classification (CATS) (Novo Nordisk Foundation, 2021-2025) She maintains an active role in academic governance as head of an assessment committee for faculty recruitment (2023) and has been featured in media discussions about medical AI practices.
Angelina Njegus is a Full Professor at Singidunum University , where she has worked since 2005. She holds a Ph.D. in Business Studies and has extensive experience in both academia and industry, including consulting for IBM. Her research focuses on machine learning algorithms , deep learning , and Big Data Analytics , with applications in pattern recognition , tourism technology , and blockchain systems . Bachelor's: Faculty of Organizational Sciences, Information Systems (1994) Master's: Faculty of Organizational Sciences, Industrial Engineering (1999) Doctoral: Faculty of Business Studies (2003) Her recent publications (2023-2025) demonstrate expertise in metaheuristic optimization for machine learning, audio-visual emotion recognition , and cryptocurrency applications in tourism . She pioneered the Virtual University platform (MTVU) and contributes to agile methodologies in software development. Collaborations include projects with researchers from IEEE, Springer, and international institutions. Research interests span AI ethics in human resources , IoT integration in tourism , and security risks in cloud computing . Her work appears in journals like Complex & Intelligent Systems and conferences including ICPR and FG 2017 . She has authored books on software design patterns and information systems in tourism .
Ïo Valls-Ratés is an Assistant Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. They hold a PhD in Oral Communication from Universitat Pompeu Fabra (2023) and a PhD in Language Sciences. Their research focuses on virtual reality (VR) applications for public speaking training, exploring how VR impacts voice modulation, body language, and anxiety reduction. They also specialize in educational tools for improving oral communication skills among teachers and students. Assistant Professor, Centre for Industrial Electronics (2023–present) Project lead for VirtuVoce (2023–2024) and collaborator on Oralitat (2018–2021) Active in VR-based speech training, prosody analysis, and teacher development programs Key research areas include Virtual Reality , Public Speaking , and Second Language Acquisition . Their work emphasizes nonverbal communication, stress reduction, and intergenerational charisma dynamics. Recent articles analyze the correlation between voice and body language in VR environments and the efficacy of self-guided VR training for students. Collaborations span Denmark, the Netherlands, and Spain, with external partnerships in educational technology. Media coverage highlights their contributions to VR for speech anxiety, educational gaming, and tools like VirtuVoce , which empower students' voices through immersive simulations.
Norwegian University of Science and TechnologyNorway
Muhammad Mudassar Yamin serves as an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic work spans cybersecurity research, artificial intelligence applications, and cyber range development, with significant contributions to security exercise frameworks and adversarial machine learning. His research interests focus on Cybersecurity , particularly in cyber ranges, security assurance, and AI-driven threat detection. Key areas include Kill Chain analysis, adversarial machine learning for hate speech detection, and security exercise scenario generation. Recent work demonstrates increasing integration of large language models for cybersecurity training and multilingual threat detection systems. Yamin's publication trends show consistent output in top cybersecurity venues, with recent emphasis on AI applications for security (2022-2025). His work bridges theoretical frameworks and practical implementations, particularly in cyber range technologies and threat intelligence systems. Collaborations with researchers like Basel Katt and Ehtesham Hashmi appear frequently across publications. He teaches courses including IIK3100 - Ethical Hacking and Penetration Testing and TTM4175 - Introduction to Cyber Security and Data Communication, reflecting his expertise in practical security education. His doctoral thesis (2022) focused on modeling and analyzing attack-defense scenarios for cyber ranges, establishing the foundation for his current research trajectory.
Giovanni Di Franco serves as Full Professor in the Department of Social and Economic Sciences at Sapienza University of Rome's Faculty of Political Science, Sociology and Communication. He directs the book series "La cassetta degli attrezzi" (Franco Angeli Milano) and holds affiliations with CIRES at Roma Tre University and Bonanno publishing house's scientific committee. His research centers on Social Research Methodology , emphasizing data collection/analysis techniques, historical evolution of methods, qualitative-quantitative integration, and micro-macro data synthesis. Specialized in Electoral Sociology , he examines polling methodologies in digital contexts, while his work on Youth Attitudes explores values during economic crises. Additional expertise spans Europeanization Processes , Social Representations of eating disorders, and Social Cohesion frameworks. Recent publications reveal methodological innovation through machine learning applications and critical analysis of intergenerational inequality, reflecting his commitment to advancing sociological research in contemporary digital landscapes. Professor Di Franco has led significant projects including immigrant family-school interactions (2009-10), food education integration (2009), Campanian legality culture (2008), and European identity formation (2007-09), alongside European Commission-funded e-inclusion research. He supervises doctoral candidates through Sapienza's PhD program in Sociology and Applied Social Sciences. He contributes to interdisciplinary research through LARFAD laboratory and CIRES center, developing methodological tools for social analysis while directing academic publications that shape methodological discourse in Italian sociology.
Professor Bryan Scotney is a faculty member at Ulster University 's School of Computing , holding the title of Professor of Informatics. His research spans over three decades with a focus on digital image processing , computer vision , pattern recognition , and statistical databases , applied to healthcare informatics , biomedical sciences , and telecommunications network management . He has extensive experience in interdisciplinary projects and research management , leading the university's Computer Science Research Institute from 2005 to 2015. Key research areas: data integration , distributed processing , healthcare technologies Major funded projects: EU FP5 , EPSRC NETWORK , India-UK Advanced Technology Centre , ESRC Design for Ageing Well , EU H2020 DESIREE and ASGARD Recent publications include advancements in video anomaly detection , IoT encryption , face recognition , and medical image processing . His work contributes to UN Sustainable Development Goals through AI for healthcare and secure smart environments . Scientific Awards and Recognition : Shortlisted for BCS & Computing UK IT Industry Awards - Security Innovation of the Year Digital Innovation of the Year (Highly Commended) for 5G-Enabled Edge Compute Highly Commended for Emerald Literati Network Awards TM Forum awards for Catalyst Innovation and Use of TM Forum Assets His research emphasizes collaborative projects across academic , government , and commercial sectors, with significant contributions to EU Framework Programmes and UK Research Councils funded initiatives.
Laura Schwab Reese serves as Associate Professor in the Department of Public Health at Purdue University, with courtesy appointments at UCONN (Department of Public Health Sciences), University of Colorado School of Medicine (Department of Pediatrics), and Purdue University (Department of Health and Kinesiology). Her expertise centers on reducing violence through community partnerships, specializing in child maltreatment, intimate partner violence, mental health consequences, and community-based participatory research methodologies. Education: PhD, University of Iowa, 2015 MA, University of Iowa, 2010 BS, University of Iowa, 2008 Research Focus: Dr. Reese leverages mental health counseling and public health intervention expertise to develop violence prevention programs. Her work emphasizes qualitative analysis and community engagement to address structural determinants of violence. Current projects explore social media's role in child maltreatment disclosure, firearm suicide disparities, and digital health equity. She employs mixed-methods approaches to translate research into actionable public health interventions targeting vulnerable populations. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: (1) Digital platforms (TikTok/social media) as disclosure channels for violence victims, (2) Disparities in violence outcomes by race, gender, and sexual orientation, and (3) Innovative methodologies including LLM risk taxonomies and community paramedicine. Her work consistently bridges academic research with community implementation, focusing on rural-urban divides and marginalized populations. Scientific Recognition: 50th Anniversary Kempe Lecturer, International Society for Prevention of Child Abuse (2022) Poster of Distinction, American Academy of Health Behavior (2022) Early Career Award, APHA Injury Control Section (2021) Article of the Year, Journal of Public Child Welfare (2020) Professional Leadership: As 2022 SAVIR President-Elect and former APHA Section Chair, Dr. Reese influences national violence prevention agendas. She serves on editorial boards for American Journal of Public Health , Child Abuse & Neglect , and Journal of Child and Family Studies . Her NIH-funded research demonstrates sustained impact through community partnerships focused on implementation science and health equity. Community Integration: Dr. Reese partners with Indiana communities to develop violence prevention programs, including training salon professionals to identify trafficking victims and designing rural vaccination equity initiatives. Her community-based participatory research model ensures stakeholder input throughout project development, implementation, and evaluation phases, creating sustainable interventions responsive to local needs.
Joobeom Yun serves as Associate Professor in the Department of Computer and Information Security at Sejong University since 2015, concurrently holding a Board Member position at the Korea Institute of Information Security and Cryptology (KIISC) since 2016. Previously, he was Senior Researcher at the National Security Research Institute from 2001 to 2015, establishing a career bridge between government security research and academic instruction. His academic credentials include: Ph.D. from KAIST (2012) M.S. from Seoul National University (2001) B.S. from Korea University (1999) Professor Yun's research program centers on Software Security, Network Security, Digital Forensics, and Cloud Security, with particular emphasis on automatic exploit generation through fuzzing/concolic execution, secure cloud data deduplication, and ransomware-resistant backup systems. His fingerprint analysis reveals deep expertise in fuzzing (100%), deduplication (73%), software vulnerability (51%), and IoT security (45%), demonstrating both breadth and specialization in critical cybersecurity domains. Recent publications (2023-2024) exhibit a pronounced shift toward AI-integrated security solutions, with 80% of his latest works addressing deepfake detection, adversarial attacks on speech recognition, and AI-enhanced digital forensics. Simultaneously, his IoT security research maintains strong continuity through firmware fuzzing frameworks and multi-architecture emulation techniques, reflecting dual-track innovation in both emerging AI threats and persistent embedded system vulnerabilities. No scientific awards were documented in the provided materials. While specific grant details remain undisclosed, his research trajectory suggests sustained funding for cloud security infrastructure projects and IoT vulnerability assessment tools, particularly through his KIISC board affiliation which facilitates national cybersecurity research coordination. No student advisement information was publicly listed. As KIISC Board Member, Yun actively shapes South Korea's national cybersecurity research agenda while leading a specialized lab at Sejong University focused on practical security implementations for cloud environments, IoT ecosystems, and digital forensic workflows. His team's recent output indicates growing collaboration with international researchers in deepfake countermeasures and ASR security.
Michael Antonacci is an Associate Professor of Physics at Saint Vincent College , where he teaches courses ranging from General Physics to Condensed Matter Physics. His research focuses on Ultra-Low and Earth's Field Nuclear Magnetic Resonance (NMR) techniques, particularly using hyperpolarized media for biomedical applications and educational innovations. Education : PhD in Physics (University of North Carolina at Chapel Hill), MDiv (Saint Vincent Seminary), BS in Physics and Mathematics (Saint Vincent College) Antonacci's work on Signal Amplification by Reversible Exchange (SABRE) hyperpolarization methods has led to significant advancements in low-field NMR sensitivity. His team recently achieved 450-fold signal enhancement in aqueous solutions using novel catalysts, paving the way for in vivo bioprobes. He also investigates physics education reform , implementing asynchronous lab formats and assessing their pedagogical effectiveness. Key publications demonstrate his expertise in MR thermometry for brown adipose tissue studies, open-source NMR spectrometer design , and AI integration in physics pedagogy . Collaborations with chemistry departments highlight his interdisciplinary approach to catalyst development. Antonacci's lab provides undergraduate students hands-on experience in organometallic synthesis , magnetic resonance hardware , and scientific communication . Current projects include constructing an ultra-low field NMR spectrometer based on the OCRA open-source console and expanding SABRE-SHEATH techniques for 13 C hyperpolarization.
Chelsea Binns is an Associate Professor in the Department of Security, Fire & Emergency Management at John Jay College of Criminal Justice (CUNY). She is a fraud expert with a PhD in Criminal Justice and a Private Investigator license in NY State. She was named a 'top PI' in 2022 by PI Magazine and holds the Certified Fraud Examiner (CFE) credential. Dr. Binns earned her educational credentials from: PhD, CUNY Graduate Center (Criminal Justice) MPhil, CUNY Graduate Center (Criminal Justice) MA, John Jay College (Criminal Justice) BA, Cum Laude, Ramapo College of New Jersey (Law & Society) AS, Morris County College (Criminal Justice) Certificate, Forensic Accounting, New York University Her research interests focus on fraud and related corporate security & investigations matters, including background checks, corporate crime, cybercrime, employee crime, financial crime, fraud hotlines, investigative techniques, organizational fraud and white collar crime. She has extensive experience in these areas, having previously worked in an investigative capacity for prestigious organizations such as Citibank, Morgan Stanley, New York City's Department of Investigation (DOI) and the New York State Office of the Attorney General. Dr. Binns has published four books: The Art of Investigation Revisited: Practical Tips from the Experts (2023), The Art of Investigation (2020), Safety & Security in Hotels and Home Sharing (2020) and Fraud Hotlines: Design, Performance & Assessment (2017). Her scholarly work also appears in peer-reviewed journals such as Security Journal and The Journal of Applied Security Research. Her notable awards include: Certificate of Recognition, Scholarship of Teaching & Learning, John Jay College, 2018 H. Craig Collins Award to Distinguished Faculty, St. John's University, Apr. 2017 Faculty Recognition Award, St. John's University, Aug. 2016 Morgan Stanley Client Service Award, 2009 Doctoral Program Fellowship, CUNY Graduate Center/John Jay College, 2007 Named 'top PI' in 2022 by PI Magazine Dr. Binns is a highly sought-after expert in the industry. She has appeared on CBS Channel 2 News in NYC and on Fox 5 News in a segment that aired nationally. Additional media organizations where her work has been featured include: Asheville Watchdog, Bloomberg News, Buzz Feed News, DocumentedNY, Forbes, Metro NY, NBC News MACH, Oxygen/Crime TV, The Daily News, The Washington Times, The New York Times, USA Today and the Wall Street Journal. She frequently lectures before elite audiences including major industry groups, governmental organizations and investigative teams. The ACFE Rhode Island chapter named Chelsea their speaker of the year in 2020. She has served in various professional capacities including Past Director of the Center for Private Security & Safety at John Jay College, Past Chair of the Chapter Leader's Committee for ACFE, Past President of the New York Chapter of ACFE, and Past Member of the FBI Infraguard.
Jennifer Nguyen is a researcher at the Department of Operations, Innovation and Data Sciences, Esade School of Business Administration and Management, Ramon Llull University. She is affiliated with the Institute for Data-Driven Decisions and has an ORCID iD (0000-0002-7498-7536). Her work focuses on data science and artificial intelligence applications in decision-making and collaborative innovation. University: Ramon Llull University School: Esade School of Business Administration and Management Department: Operations, Innovation and Data Sciences Jennifer Nguyen's research interests primarily revolve around Artificial Intelligence , Natural Language Processing , and Open Innovation . She has extensively worked on Recommender Systems and Qualitative Reasoning models, integrating Fuzzy Linguistic Term Sets and Multi-Criteria Decision Making frameworks to enhance collaborative processes and knowledge generation. Her recent publications highlight trends in AI-driven Malpractice Detection and Media Coverage Analysis . The 2025 article on European media coverage of the Israel–Gaza war employs Hesitant Fuzzy Linguistic Term Sets for comparative cross-national analysis, while her 2024 work on health sector malpractices explores Deep Attention Mechanisms and Multiple Instance Learning . Earlier research (2014–2016) focused on optimizing Reviewer Assignment and Expertise Dimensions in collaborative innovation contexts. Jennifer Nguyen actively participates in multi-year research projects funded by both internal grants and external agencies like AGAUR. The 2017–2021 project JUICE examined Judgment and Decisions in Marketplaces , while her current 2022–2025 project investigates Natural Language Processing for Emotion Detection through fuzzy linguistic analysis. As a member of the Institute for Data-Driven Decisions, she collaborates with international researchers across disciplines like Computer Science , Environmental Science , and Health Informatics . Her work has been cited in Scopus and referenced in academic platforms like Wikipedia and Mendeley.
Swiss Federal Institute of Technology in LausanneSwitzerland
Touradj Ebrahimi is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he heads the Multimedia Signal Processing Group (MMSPG) within the School of Engineering's Institute of Electrical Engineering. He holds a Ph.D. in Electrical Engineering from EPFL and serves as the Convenor of the JPEG standardization committee. His research spans AI-powered imaging, multimedia signal processing, and media security. Research Interests: Professor Ebrahimi's work focuses on next-generation image/video compression (including JPEG AI and DNA-based storage), quality of experience in immersive media, trustworthy media authentication (JPEG Trust), and explainable AI for biometric systems. His group pioneers methods for point cloud compression, deepfake detection, and privacy-preserving multimedia. Publication Trends: Recent articles emphasize AI-driven compression standards, quality assessment for emerging media (point clouds, HDR), and explainability in computer vision. Key themes include JPEG AI standardization, DNA storage for visual data, and robustness evaluation of deepfake detectors. Awards & Honors: IEEE Star Innovator Award in Multimedia IEEE and Swiss National ASE Awards ISO Certificates for MPEG-4/JPEG 2000 contributions Best Paper Award (IEEE Trans. Consumer Electronics) Fellow of IEEE and SPIE Leadership: He founded RayShaper SA, Genista SA, and Emitall SA. Represents Switzerland in ISO/IEC JTC1/SC29 and ITU, advising European Commission initiatives and venture capital firms on multimedia technologies. Facilities: Leads the MMSPG lab at EPFL, focusing on intelligent multimedia systems. The group collaborates globally on standardization (JPEG, MPEG) and EU projects.
