Matthew James Sorell is a Senior Lecturer at the University of Adelaide since October 2002. He holds a Doctor's Degree from George Mason University (1998), supervised by Geoff Orsak, focusing on 'Robust Importance Sampling'. His research spans Digital Forensics, Criminal Investigation, and Computer Science, with emphasis on image/video analysis, surveillance technologies, and data provenance. Education: PhD in Computer Sciences, George Mason University, 1998 Research Interests: His work focuses on digital evidence analysis, forensic science applications, and the development of methodologies for authenticating digital media. Key areas include photo-sensor fingerprinting, mobile forensics (e.g., Snapchat surveillance protocols), and health data provenance analysis (Apple Health databases). He has contributed to advancing video motion detection, smart camera systems, and forensic photography audit logs. Publications: His recent work emphasizes digital forensics in health data and social media, with notable contributions to Forensic Science International Digital Investigation and IEEE conferences. Earlier research includes biologically-inspired video enhancement and JPEG quantization analysis. Professional Roles: From 2017-2022, he worked as a Digital Investigations Consultant (part-time). He has edited conference proceedings (e.g., e-Forensics 2009) and contributed to interdisciplinary studies like food advertising patterns on Australian TV. Labs/Teams: Collaborates with teams in digital crime forensics, surveillance systems, and multimedia forensics, reflected in his conference organizing roles and journal editorships.
Dr. Ollie Ballinger is a Lecturer (Teaching) in Geocomputation at the Centre for Advanced Spatial Analysis (CASA), University College London. His research focuses on leveraging computational methods and satellite imagery for conflict analysis, environmental monitoring, and humanitarian applications. He holds a PhD from the Oxford Department of International Development, where his work explored computational approaches to insurgent recruitment dynamics in Turkey. Education: PhD in International Development from the University of Oxford (focused on computational conflict analysis) Research Interests: Dr. Ballinger's work spans geospatial analysis, remote sensing, and open-source intelligence (OSINT). He develops novel algorithms for detecting conflict-related damage (e.g., pixel-wise T-test for SAR imagery), tracks illicit activities like ship-to-ship transfers and illegal mining, and creates tools for humanitarian and environmental accountability. His projects often involve collaboration with organizations like Bellingcat and the Alan Turing Institute. Key Projects: Pixel-Wise T-Test (PWTT) algorithm for open-access battle damage detection Analysis of ship-to-ship transfers in maritime trade Monitoring illegal rare earth mining in Myanmar Radar interference tracking for military surveillance systems Tools & Contributions: Developed Python libraries for image processing and network analysis Principal Investigator for projects with Global Witness and the Alan Turing Institute Contributor to Bellingcat's investigative reporting on conflict pollution and environmental crimes Grants & Collaborations: Collaborations include work with the United Nations Satellite Centre (UNOSAT) for damage assessments and partnerships with NGOs like Global Witness for environmental monitoring projects. His research is supported by grants focused on computational methods for humanitarian and environmental applications. Labs & Teams: Active within the Centre for Advanced Spatial Analysis (CASA) at UCL, where he contributes to interdisciplinary geospatial research initiatives.
Rachael Medhurst is a Senior Lecturer in Digital Forensics and Course Leader of the MSc Applied Cyber Security at the University of South Wales, part of the Faculty of Computing, Engineering and Science. She leads research and teaching in Digital Forensics, Cyber Security, and Emerging Technologies, with a focus on authentic workplace emulation learning environments. Her roles include teaching courses such as Digital Crime Scene Management, Mobile Device Forensics, and Incident Response Investigations. Education: BSc (Hons) and MSc in Digital Forensics from the University of South Wales, PGCLTHE (Postgraduate Certificate in Learning and Teaching in Higher Education). Research Interests: Emerging Technology Forensics, Vehicle Forensics, Cybersecurity Incident Response, and Digital Evidence Analysis. Awards: FHEA, MCSFS, MCFE. Her research explores forensic methodologies for emerging technologies like smart vehicles and IoT devices. She has presented at conferences such as the Chartered Society of Forensic Science Conference and contributed to BBC Frontline Fightback, discussing vehicle data vulnerabilities. She leads initiatives to bridge academic and industry practices through partnerships with law enforcement, cybersecurity firms, and certifications like Bond Solon and Magnet AXIOM. Her teaching leverages cutting-edge facilities like the Crime Scene House, Moot Court, and Secure Operations Centre to simulate real-world scenarios. She emphasizes continual professional development, completing training in Windows 11 Forensics, Apple Mac Examinations, and Vehicle Forensics. Recent articles and media appearances highlight her work in public cyber safety, healthcare cybersecurity, and forensic science innovation. She is pursuing a PhD in Emerging Technology and Digital Forensics to advance forensic methodologies for new technologies.
Professor Dan Svantesson is a full Professor at the Faculty of Law, Bond University (Australia), where he also serves as Co-Director of the Centre for Space, Cyberspace & Data Law . He is additionally a research fellow at Masaryk University (Czech Republic) and an associated researcher at the Swedish Law & Informatics Research Institute, Stockholm University . Education: PhD in Private International Law and the Internet, University of New South Wales (2004) Research Interests: Professor Svantesson’s expertise lies at the intersection of international law and the digital society. He investigates how legal systems cope with cross-border Internet activity, focusing on jurisdiction, data localisation, privacy protection, cloud computing regulation, cyber-crime, and emerging governance frameworks for online platforms. His work also explores niche areas such as “Beer Law,” reflecting his creative breadth. Across nearly 300 scholarly outputs since 2001, his recent publications reveal a clear trajectory toward global regulatory challenges: mapping cyber-law gaps in Pacific Island nations, analysing EU-Australia health-data transfers, clarifying jurisdictional hurdles in digital evidence, and offering practical frameworks for content moderation. Scientific Awards & Recognition: Faculty of Law Research Excellence Award (2016 & 2020) Vice-Chancellor’s Research Excellence Award (2016) Named “Field Leader in Technology Law” by League of Scholars & The Australian (2018-2021) Grants & HDR Supervision: He held an ARC Future Fellowship (2012-2016, project FT120100583) on global Internet jurisdiction and is currently accepting PhD candidates in Internet law and data privacy law. He teaches subjects ranging from Obligations and Contract Law to Coding, Cybersecurity and Cryptoliteracy for Lawyers. Laboratories & Teams: Professor Svantesson co-directs the Centre for Space, Cyberspace & Data Law at Bond University, fostering interdisciplinary research on governance of outer space and cyberspace.
Dr Jennifer Badham is an Assistant Professor in the Department of Sociology at Durham University, with the following key roles: Director of the MA Social Research Methods Programme Lead for MDS (Health Data Science) in the Faculty of Social Sciences and Health Fellow of the Wolfson Research Institute for Health and Wellbeing Her research interests span computational methods for complex systems, network diffusion, public engagement, and social network structure. She specializes in agent-based modelling and network analysis to investigate how social structure shapes the transmission of ideas, disease, and behaviour. Additionally, she examines the role of models in policy processes and public engagement with data. Analysis of her recent publications reveals a strong focus on agent-based modelling and network analysis applied to health and social systems. Key trends include the development of synthetic network generation methods, simulation of network interventions for behaviour change, and the integration of participatory approaches in model building. Her work addresses pressing issues such as epidemic planning and health behaviour. Dr Badham is Principal Investigator on the MRC-funded project "Generating Socially Realistic Synthetic Networks" (2023-2026, £528,850). She supervises postgraduate students, including Tengpeng Zhang, and draws on her prior experience as a senior health policy advisor in Australia to inform her research and teaching. As a Fellow of the Wolfson Research Institute for Health and Wellbeing, she contributes to interdisciplinary health research. She also leads the Health Data Science strand within the Durham Research Methods Centre.
Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.
Benjamin C. M. Fung is a Full Professor at McGill University's School of Information Studies and holds the Canada Research Chair in Data Mining for Cybersecurity. He is also an Associate Member at the School of Computer Science and affiliated with MILA and the McGill Digital Humanities Initiatives. His research focuses on data mining, AI, cybersecurity, privacy protection, and their applications in crime investigation, health informatics, and smart cities. Education: Ph.D. in Computing Science, Simon Fraser University (2007) M.Sc. and B.Sc. in Computing Science, Simon Fraser University Professional Engineer (P.Eng.) in Software Engineering, Ontario Research Interests: Data mining techniques for cybersecurity, AI ethics, privacy-preserving technologies, malware analysis, and foreign interference detection. His work has been supported by NSERC, SSHRC, DRDC, and FRQNT. Key Contributions: Developed the Kam1n0 tool for malware analysis, featured in Montreal's technological innovations. Co-founded the McGill Data Mining and Security (DMaS) Lab. Authored over 180 refereed publications with an h-index of 62. Awards & Recognition: 2022 IEEE CSR Best Research Paper Award ACM & IEEE Senior Member (2013) Top 2% Global Scientists (2021–present) Media & Public Engagement: Frequently comments on cybersecurity, disinformation, and foreign interference for CBC, CBC Radio, OMNI TV, and international outlets. His op-eds address topics like AI ethics and national security.
Ronald D. Barnes is a Professor in the School of Electrical and Computer Engineering at the University of Oklahoma, where he returned in 2007 after serving as faculty at George Mason University. An OU alumnus, he earned his B.S. in Electrical Engineering from the university in 1998 and completed his Ph.D. in Electrical Engineering at the University of Illinois in 2005, specializing in complexity-effective microarchitecture. His educational background includes: B.S. in Electrical Engineering, University of Oklahoma (1998) Ph.D. in Electrical Engineering, University of Illinois (2005) Dr. Barnes' primary research centers on computer architecture, with emphases on multi-core systems, reduced-complexity architectures, and compiler-architecture co-design to address power, performance, and memory latency challenges. His work integrates static/dynamic compilers with novel hardware, focusing on program analysis, application mapping to accelerators, and runtime optimization. Notably, Google Scholar data indicates additional research in psychology and literary studies , examining fiction's impact on social cognition, moral judgment, and imaginative engagement, though this appears inconsistent with his ECE departmental affiliation. Analysis of his 15 most recent publications reveals a dual trajectory: engineering-focused work in computer systems (2005-2016) and a sharp pivot toward psychological studies of fiction, morality, and narrative comprehension (2022-2024). The recent publications predominantly investigate how fictional content influences theory of mind, empathy development, and moral reasoning, with significant output in mystery fiction literature. His scientific contributions span two distinct domains without overlap in methodology or subject matter, suggesting either interdisciplinary breadth or potential data misattribution in the provided sources.
Wladislaw Mill is a non-tenured Assistant Professor of Behavioral Economics in the Department of Economics at the University of Mannheim, Germany. His research investigates the intersection of morality and economic systems, focusing on the "dark side" of human behavior including discrimination, corruption, power abuse, tax evasion, war experiences, and spiteful economic decisions. Mill's research program spans Applied Microeconomics, Experimental and Behavioral Economics, Labor Economics, Political Economy, Public Economics, Economic Theory, and Economics of Crime. He employs a methodological toolkit combining theoretical modeling with laboratory, online, and field experiments, supplemented by big-data approaches (web-scraping) and machine learning tools (computer vision) to establish causal relationships in complex social settings. His work addresses critical questions about how discrimination shapes job networks, what drives power abuse, how war experiences affect religiosity, and how spiteful preferences manifest in economic behavior. His recent publications (2021-2025) reveal a cohesive focus on experimental investigations of destructive social dynamics, norms, and behavioral anomalies. Key thematic clusters include spite in strategic interactions (auctions, litigation), discrimination in professional contexts, the socio-psychological impacts of conflict and war, and the economic consequences of polarization. This body of work consistently bridges theoretical innovation with empirical validation through diverse experimental methodologies. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: The available documentation does not specify doctoral advisees, research grants, or funding sources. Labs and Teams: Mill is affiliated with the Collaborative Research Center TR 224 (CRC TR 224) at the University of Bonn as indicated in their member directory, while maintaining his primary appointment at the University of Mannheim. His research leverages both institutional environments for experimental and field-based investigations.
Dr. Marc A. Adams serves as the Assistant Dean of Education and Interim Program Director of the MPH in the School of Technology for Public Health at Arizona State University, while also holding a Professor position in the College of Health Solutions. He maintains additional affiliations with the Institute for Social Science Research as both a faculty member and Affiliated Faculty, and serves as a Senior Global Futures Scientist within the Global Futures Scientists and Scholars program. His academic leadership spans multiple institutional units focused on public health innovation and research. Dr. Adams' educational background includes a PhD in Public Health from the University of California, San Diego and San Diego State University (2009), an MPH in Public Health from San Diego State University (2003), a BA in Psychology from San Diego State University (2001), and postdoctoral training in Cardiovascular Epidemiology and Prevention at the University of California, San Diego (2011). As a behavioral scientist and epidemiologist, Dr. Adams' research spans the intersection of digital health interventions, physical activity promotion, and behavioral nutrition within diverse neighborhood contexts. His work integrates advanced AI and deep learning techniques to map pedestrian environment features across thousands of US neighborhoods, revealing critical inequities in built environments. He develops and tests interventions that consider how urban planning features interact with behavior change strategies to increase physical activity and healthy eating, particularly among underserved populations. His methodological expertise includes epidemiologic methodology, clinical trial design, and the development of ecological models for understanding behavior-environment interactions. Dr. Adams is an active member of the International Physical Activity and Environment Network (IPEN), contributing to international comparative research on how city design influences physical activity levels across 14 global cities. Dr. Adams' recent publications reveal a strong focus on neighborhood walkability, digital health interventions, and the use of AI to analyze built environments for public health purposes. His research consistently examines how environmental features moderate the effectiveness of physical activity interventions, with particular attention to socioeconomic disparities. The methodological approaches in his work span from traditional epidemiological studies to cutting-edge computer vision applications for analyzing street-level imagery at scale. Dr. Adams has secured substantial research funding from multiple sources including NIH, American Heart Association, and Robert Wood Johnson Foundation. His current projects include "Developing AI-measures of Pedestrian Environment Features for Physical Activity and Cancer Prevention in Rural Communities" (NIH/NCI, $413,673), "PED-PHAM: An Automated and Scalable Spatial Tool" (NIH/NHLBI SBIR, $275,000), and "WalkIT Arizona: Neighborhood walkability and moderation of adaptive interventions for physical activity" (NIH/NCI, $2,620,000). He serves as Principal Investigator on multiple projects while also collaborating as Co-Investigator on large-scale international studies through IPEN. His grant portfolio demonstrates expertise in both intervention development and environmental measurement, with a consistent focus on translating research findings into practical applications for public health practice. Dr. Adams leads research teams focused on developing and validating AI tools for assessing pedestrian environments and testing how these environmental features interact with digital health interventions. His work with the International Physical Activity and Environment Network connects him to a global consortium of researchers examining built environment influences on physical activity across diverse cultural contexts. His laboratory work bridges computer science, public health, and urban planning disciplines to create innovative approaches for measuring and improving neighborhood environments that support healthy behaviors.
Gail-Joon Ahn is a Professor of Computer Science and Engineering at Arizona State University (ASU), serving as the Founding Director of the Center for Cybersecurity & Trusted Foundations (CTF) and the SEFCOM Laboratory. Previously, he was an Associate Professor at the University of North Carolina at Charlotte, leading the Center for Digital Identity and Cyber Defense Research. He holds a Ph.D. in Computer Science from George Mason University (2000). His research focuses on security analytics, big data-driven security intelligence, vulnerability management, identity privacy, and formal security models. Notable contributions include work on SDN security, phishing defense, and user-centric identity management systems. His research has been funded by major agencies like NSF, NSA, DoD, DOE, and industry partners including Cisco, Intel, and Microsoft. Ahn has received prestigious awards, including IEEE Fellow (2023), ACM Distinguished Scientist (2015), and the DOE Early Career Award (2003). He serves on editorial boards of top journals (e.g., IEEE TDSC, ACM TIFS) and chairs conferences like ACM CCS and ACM SACMAT. His leadership roles include steering committees for cybersecurity initiatives and advisory boards for institutions like NC A&T State University. Education: Ph.D., Computer Science, George Mason University, 2000 Key Grants: NSF-CISE (Privacy-Aware Data Sharing), NSA (DoD Information Assurance), DOE (Assured Resource Sharing) Labs: SEFCOM Lab, CTF Center
Dan Jones is an Associate Professor of Management at the University of Nevada, Reno, College of Business, where he also serves as Director of the Ph.D. in Business Administration Program. His research focuses on toxic personality traits, particularly the Dark Triad (Machiavellianism, narcissism, psychopathy) and Dark Tetrad (including sadism), examining their links to unethical behavior in organizational, cybersecurity, and criminal contexts. Ph.D., Personality and Social Psychology, University of British Columbia (2011) M.A., Social Psychology, University of Arizona (2005) B.S., Psychology, Richard Stockton College of New Jersey (2001) His work bridges psychology and business ethics, exploring deception strategies, moral disengagement, and organizational misbehavior. He has contributed to understanding how dark personalities influence financial misconduct, cyberattacks, and interpersonal aggression, with recent studies addressing phishing vulnerabilities and legal/illegal profit-seeking behaviors. His publications include analyses of the Dark Triad's role in cybersecurity, corporate crime, and relationship dynamics. He co-developed the Dark Triad Peer Assessment (D3PA) and investigates strategies to mitigate harmful behaviors through inoculation against moral disengagement and real-time phishing defenses. Dr. Jones advises Ph.D. candidates Edit Szabo and Sogol Mozafari. He leads the Dark Triad & Corporate Climate Lab , which studies personality-environment interactions. His research spans psychology, business ethics, criminology, and cybersecurity, with applications in organizational policy and security training.
Jim Jones is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University's Volgenau School of Engineering. His work integrates cybersecurity, digital forensics, and practical applications, focusing on digital artifact analysis, malware detection, and data persistence. He holds a PhD in Computational Sciences and Informatics from George Mason University, an MS in Mathematical Sciences from Clemson University, and a BS in Industrial Engineering from Georgia Tech. Education: PhD, Computational Sciences and Informatics, George Mason University MS, Mathematical Sciences, Clemson University Bachelor's, Industrial Engineering, Georgia Tech Research Interests: Cybersecurity, Digital Forensics, Data Persistence, Malware Analysis, Machine Learning in Cybersecurity. His research is funded by agencies like DHS, NSF, and DoD, addressing challenges such as supply chain disruption detection, deleted file decay analysis, and cyber deception. Notable projects include the 'Digital Body Farm' for studying data decay and the 'Cyber P3 Scholarship Program.' He has advised numerous funded initiatives, including work on network topology discovery and insider threat evaluation. Collaborative efforts with industry and government emphasize bridging theory and practice in cybersecurity education and research.
Benedetta Catanzariti is a British Academy Postdoctoral Fellow at the University of Edinburgh's School of Social and Political Science, with dual affiliation as a PostDoctoral Affiliate at the Centre for Technomoral Futures within the Edinburgh Futures Institute. She actively contributes to the AI Ethics & Society network, focusing on the social, historical, and political dimensions of data-driven technologies through qualitative STS (Science and Technology Studies) methodologies. Her work critically examines machine learning data practices, classification systems in algorithmic decision-making, and engineering cultures across industry, research, and educational contexts. Education: PhD in Science, Technology and Innovation Studies, University of Edinburgh (2023) MScRes in Science and Technology Studies, University of Edinburgh (2019) Master in Philosophy, University of Turin (2016) Her research investigates how data objectivity claims emerge within specific cultural imaginaries, with current emphasis on translating medical uncertainty into diagnostic AI outputs. Recent projects analyze facial expression recognition in healthcare, generative AI threats to parliamentary democracy, and ethical integration in computer science curricula. She develops reflexive tools to address algorithmic harm while documenting global labor practices in AI development and anti-surveillance resistance tactics. Article trends reveal escalating focus on AI's societal crises: 2025 works dissect objectivity construction in data annotation and AI governance metaphors, while 2024 outputs target democratic vulnerabilities (Chamberfakes), CS curriculum politics, and translational ethics teaching. Medical AI and emotion recognition studies (2020-2023) establish foundations for current work on medical imaging uncertainty. All publications consistently apply STS lenses to expose hidden power structures in data systems. Scientific Awards: SPS Outstanding Dissertation Award (2023) for 'Seeing affect: knowledge infrastructures in facial expression recognition systems' AsSIST-UK Andrew Webster PhD Prize (2024) She supervises Oksana Dorofeeva (visiting PhD, Aarhus University) and four CDT project students (Jacqueline Rowe, Amanda Horzyka, Osman Batur Ince, Cyndie Demeocq), previously guiding Sandra Wheeler's MSc in Data Science for Health and Social Care. Funded by a British Academy Postdoctoral Fellowship (2023-2026) for 'Technology in Translation: Investigating Organizational Contexts of AI Development', she also secured DCMS Policy Fellowship support under AHRC's BRAID programme. Current teaching includes Data and AI Ethics as Practice (2025) and Data Ethics in Health and Social Care (2024). Operates within the Centre for Technomoral Futures and AI Ethics & Society network, collaborating with Scottish Centre for Crime & Justice Research on parliamentary democracy threats. Organizes key events like the 2024 'AI as the Broken Machine' conference and 2022 'Ethics of Care and Community in AI Practice' workshop, while developing conceptual tools for medical AI practitioners through her active British Academy project.
Alessandra Caso is a Lecturer in Psychology at the University of Westminster, specializing in eyewitness memory and investigative interviewing. She holds a PhD from Goldsmiths, University of London, and completed her Bachelor’s and Master’s degrees at La Sapienza, University of Rome. PhD: Goldsmiths, University of London (Thesis: Confidence Malleability in Interviewing) BSc/MSc: La Sapienza, University of Rome Her research focuses on eyewitness metamemory, confidence regulation, and the impact of interviewing techniques on information reporting. She has collaborated with the College of Policing, National Crime Agency, and British Academy-funded projects, including the development of a Self-Administered Interview for missing persons and improvements to Interpol’s Disaster Victim Identification forms. Her recent publications examine virtual reality environments for interviewing, confidence-accuracy relationships, and systematic evidence mapping for police practices. She teaches cognitive and biological psychology applied to crime, forensic psychology, and supervises BSc dissertation projects. She is affiliated with the Criminal Investigative and Forensic Research (CIFR) group and the Centre for Psychological Sciences at Westminster, engaging in practitioner workshops and applied research with Greater Manchester Police, Thames Valley Police, and Amnesty International.
