جست‌وجوی استاد و پژوهشگر

Haitao Shiمشاهده پروفایل

پژوهشگر

• Criminal Justice
• Drug Policing
• Research Methods
• +۳ مورد دیگر

Dr Haitao Shi is a Researcher affiliated with the School of Social and Political Science at the University of Edinburgh. His research focuses on criminal justice systems, drug policing in China, and the intersection of technology with crime. He employs advanced research methods including quantitative tools (R, Python, SPSS), qualitative software (Nvivo, MAXQDA), and data visualization techniques (Gephi, QGIS). His current projects include studying Chinese students' experiences at the University of Edinburgh and analyzing rhizomatic networks in online drug trade funded by the Polish Ministry of Science. Haitao's work emphasizes cross-cultural comparisons, particularly in drug trade dynamics across Finnish, Polish, and English-speaking contexts. He explores topics like police professionalization in China, guanxi networks, and quota-driven policing strategies. His methodologies span cloud computing (Azure, AWS), database systems (MySQL), and version control (Git), reflecting a technologically adept approach to criminology research. Notable research themes include the role of marketing in darknet drug trade, generational conflicts in police culture, and community-based drug rehabilitation policies. He collaborates with international teams and utilizes platforms like Microsoft Azure for large-scale data analysis.

Joss Wrightمشاهده پروفایل

دانشیار

• Internet Censorship
• Privacy-Enhancing Technologies
• Cybercrime
• +۴ مورد دیگر

Joss Wright is an Associate Professor and Senior Research Fellow at the Oxford Internet Institute , University of Oxford. He co-directs the Oxford EPSRC Cybersecurity Doctoral Training Centre and the Oxford Martin Programme on the Wildlife Trade, focusing on computational approaches to social science questions about information control and privacy. Education : PhD in Computer Science from the University of York (research on anonymous communication systems), postdoctoral work at the University of Siegen (cloud computing security). His research spans internet censorship , privacy-enhancing technologies , and cyber-enabled crime (notably the online illegal wildlife trade ). He bridges technical analyses of security systems with their social and political implications, advising the European Commission and UK Parliamentary Science Committee on digital policy. Recent work includes machine learning applications to detect patent filing trends related to wildlife trade and analyzing Chinese smart city surveillance for human rights risks. He has contributed to media outlets like the Guardian and New Scientist. Notable projects include the Oxford Martin Programme on Wildlife Trade and studies on discriminatory effects of internet filtering . He supervises students like William Lugoloobi (DPhil in Social Data Science) and former advisee Samantha Bradshaw (now Assistant Professor at American University).

Jack Cunliffeمشاهده پروفایل

مدرس ارشد

• Cybercrime
• Policy Evaluation
• Quantitative Methods
• +۵ مورد دیگر

Dr Jack Cunliffe is a Senior Lecturer in Quantitative Methods and Criminology at the University of Kent's School of Social Sciences, serving as Director of Studies for Criminology since joining in 2015. His academic journey began with a mathematics undergraduate degree, followed by a PhD in Social Policy from the London School of Economics, and prior government experience in the Home Office and Ministry of Justice. His educational background includes: PhD in Social Policy, London School of Economics (thesis on structural equation modelling of area characteristics as offending risk factors) Undergraduate degree in Mathematics Dr Cunliffe's primary research focuses are cybercrime (particularly online drug trade and fraud) and policy evaluation (assessing prison interventions and drug diversion schemes). He actively contributes as the School of Social Sciences champion for the Institute of Cyber Security for Society and collaborates across disciplines on identity fusion, charitable giving during the pandemic, and primary school civic education. His methodological expertise lies in advanced quantitative analysis of administrative and survey data. His publication record (2017-2025) demonstrates a cohesive research trajectory: early work centered on cryptomarkets and darknet drug trade (2017-2019), evolving into prison rehabilitation interventions (2024-2025) and pandemic-related social behavior (2023). These publications, appearing in high-impact journals like Nature Human Behaviour and BMJ, reflect interdisciplinary collaboration and a commitment to addressing pressing societal issues through rigorous quantitative methods. No scientific awards, fellowships, or medals are documented in the provided information. Dr Cunliffe has led quantitative components of major projects including the Ministry of Justice-funded Prison Leavers Project and evaluations of police drug diversion schemes. He mentors PhD students in cybercrime and policy evaluation and has designed significant curriculum reforms for Kent's criminology program. His grant portfolio reflects strong partnerships with government agencies and interdisciplinary academic teams. As the School of Social Sciences representative for the Institute of Cyber Security for Society, Dr Cunliffe fosters cross-school collaboration on cybercrime research. He also plays a central role in the criminology program's academic leadership, having overseen a comprehensive curriculum redesign and teaching advanced quantitative methods and cybercrime courses.

• Behavioral Economics
• Big Data
• Computational Social Science
• +۶ مورد دیگر

Giuseppe Alessandro Veltri is a Full Professor at the University of Trento's Department of Sociology and Social Research. His expertise spans Behavioral Economics, Big Data, Computational Social Science, and Social Psychology. He currently teaches courses such as 'Big Data' and 'Social Dynamics Lab' within the Data Science and Previsione Sociale programs. His research focuses on understanding human behavior through digital methodologies, including studies on vaccine hesitancy, darknet markets, and the psychological aspects of pandemics. Veltri is also actively involved in designing computational tools like TextualLLMap to analyze societal biases in AI systems. His work bridges theoretical frameworks with empirical data, emphasizing interdisciplinary approaches to social science challenges. Research interests include the application of computational methods to study risk perception, online behavior, and policy design. Recent studies explore how behavioral insights can improve public health strategies during crises and how transparency in digital platforms influences consumer decisions. Veltri's contributions also extend to methodological innovations, such as optimizing online experiments and addressing gaps in cognitive sociology.

Matteo Große-Kampmannمشاهده پروفایل

استاد

• Information Security
• Cybersecurity
• Distributed Systems
• +۱۲ مورد دیگر

Prof. Dr. Matteo Große-Kampmann is a faculty member at Hochschule Rhein-Waal, serving as Professor of Distributed Systems within the Faculty of Communication and Environment. His research and teaching are centered on building secure, resilient, and reliable digital systems, with a strong emphasis on integrating information security from the earliest stages of system design. He is based at the Kamp-Lintfort Campus and actively leads research in the Cloud Resilience Lab. His research interests span a wide range of cybersecurity domains, including information security awareness, healthcare IT security, mobile and 5G/6G network security, threat modeling, and privacy in smart devices. He advocates for a proactive, design-first approach to security, particularly in increasingly interconnected environments. His work combines technical depth with human factors, examining both system-level vulnerabilities and user behavior in cyber risk contexts. The recent publications reflect a strong focus on applied cybersecurity research, with trends in mobile network penetration testing, privacy in wearables, governmental cybersecurity communication, and security in healthcare and childcare technologies. His work frequently appears in top-tier venues such as DSN, PETS, ESORICS, and ACSAC, often in collaboration with students and international researchers. His scientific contributions have been recognized with awards including an Honorable Mention Award at the International Conference on Mobile and Ubiquitous Multimedia (2024) and a Best Paper Candidate at the ACM Web Conference 2022. He also contributes to the academic community as a reviewer and technical program committee member for major security conferences including NDSS, PETS, ESORICS, and ACSAC. Prof. Große-Kampmann actively supervises bachelor's and master's theses, encouraging students to explore topics such as post-Darknet marketplaces, AI in cybersecurity education, and flood of information challenges. He emphasizes ownership, preparedness, and learning through failure, fostering independent research skills. He collaborates with students and industry partners on practical projects, particularly in the areas of penetration testing and security analysis. He is involved in several research initiatives, most notably the Cloud Resilience Lab , where he and his team investigate real-world security and privacy issues in modern digital systems. His work bridges academic research with practical applications, often receiving media attention, such as coverage in Wired , EFF , and Die Zeit for his study on childcare app security.

• Human-Computer Interaction
• Deception and Fraud Detection
• Technology-Mediated Collaboration
• +۱ مورد دیگر

Joseph Valacich is a Professor in the Department of Management Information Systems at the University of Arizona's Eller College of Management. As the Muzzy Endowed Chair, he combines academic research with entrepreneurial ventures, notably co-founding Neuro-ID (acquired by Experian in 2024) and developing patented technologies for behavioral analytics. PhD in Management Information Systems, University of Arizona MBA, University of Montana BS in Computer Science, University of Montana His research focuses on human-computer interaction , specializing in behavioral biometrics for fraud detection, emotional inference through input devices, and tech entrepreneurship. He has pioneered methods to analyze keystroke dynamics, mouse movements, and user behavior patterns for cybersecurity and user experience optimization. Recent publications in top journals like MIS Quarterly and Information Systems Research explore deception detection, product choice behavior, and conversational agent effectiveness. Work trends show increasing application of behavioral analytics to financial fraud and organizational security. Senior Member, National Academy of Inventors (2020) AIS Fellow (2009) University of Arizona Distinguished Innovation & Entrepreneurship Award (2024) Neuro-ID recognized as Tech Launch Arizona's I-Squared Startup of the Year (2020) As an educational innovator, he has co-authored leading computing textbooks and contributed to online education frameworks. His lab's technologies have been commercialized through Neuro-ID, demonstrating significant real-world impact in fraud detection and user experience optimization.

Eric L. Sevignyمشاهده پروفایل

دانشیار

• Drugs and Crime
• Public Policy
• Sentencing and Incarceration
• +۴ مورد دیگر

Eric L. Sevigny is an Associate Professor in the Department of Criminal Justice & Criminology at the Andrew Young School of Policy Studies, Georgia State University, where he conducts research at the intersection of drugs, crime, and public policy. He received his PhD in Public and International Affairs from the University of Pittsburgh in 2006, establishing his foundation in policy analysis and criminological research. Dr. Sevigny's research focuses on: Sentencing and incarceration dynamics Drug court effectiveness Measurement of drug-related problems including cryptomarkets Public health, safety, and economic impacts of marijuana policy reforms Cannabis market structures and grower behaviors His recent publications (2020-2025) demonstrate a concentrated focus on cannabis policy evaluation through international comparative studies, with recurring themes in small-scale cultivation practices, cryptomarket analysis, and the societal impacts of marijuana legalization. These works span criminology, public health, and policy analysis journals, reflecting interdisciplinary methodological approaches including systematic reviews, cross-national surveys, and evidence mapping. Dr. Sevigny has secured research funding from the Office of National Drug Control Policy and the National Institute on Drug Abuse (NIDA) for studies examining drug problem measurement and marijuana policy effects. His current NIDA-funded systematic review analyzes societal impacts of state marijuana law changes. He is affiliated with Georgia State's Evidence-Based Cybersecurity Research Group (EBCS), where he investigates drug policy-cybersecurity intersections, particularly regarding cryptomarkets and darknet intelligence.

Arash Habibi Lashkariمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• Threat Hunting
• +۷ مورد دیگر

Dr. Arash Habibi Lashkari is an Associate Professor and Canada Research Chair in Cybersecurity at York University's School of Information Technology. He holds a PhD from the University of Technology Malaysia and completed a Post-Doc at the University of New Brunswick. With over 25 years of teaching experience, he specializes in cybersecurity risk management, malware analysis, and threat hunting. He pioneered Canada’s first cybersecurity Capture the Flag (CTF) competition for post-secondary students and has authored 10 books and over 110 academic articles. Research Interests: Cybersecurity, Network Security, Threat Hunting, Malware Analysis, Cybersecurity Risk Management, and Blockchain Security. He leads the Behaciour-Centric Cybersecurity Center (BCCC), focusing on vulnerability detection technologies and cybersecurity dataset generation. Awards: Mitacs 150 Top Researchers (2017), University of New Brunswick Teaching Innovation Award (2020), Gold Medal at 2020 Canadian Online Publishing Awards, and multiple international security competition awards. His work has been featured in CBC, CIC, and global cybersecurity conferences. Key Projects: Development of intrusion detection datasets (e.g., CIRA-CIC-DoHBrw-2020), malware analysis frameworks, and AI-driven cybersecurity tools. He actively collaborates with organizations like Aviva and NICT on cybersecurity resilience strategies. Teaching: Offers courses in Digital Forensics, Network Security, and Cybersecurity Management. His 'Think-Que-Cussion' teaching methodology emphasizes interactive learning.

Jochen Schäferمشاهده پروفایل

پژوهشگر

• Blockchain Security
• Cryptocurrency Forensics
• Privacy-Preserving Techniques
• +۵ مورد دیگر

Jochen Schäfer is a Researcher and PhD Student at the University of Mannheim, affiliated with the School of Business Informatics and Mathematics and the Theoretical Informatics and IT Security Group. His research focuses on cybersecurity, blockchain security, cryptocurrency privacy, and digital learning technologies. He has contributed to multiple peer-reviewed publications addressing topics such as privacy-preserving record linkage, cryptocurrency exchange vulnerabilities, and customer review analysis for Bitcoin address inference. Teaching responsibilities include leading tutorials and exercises for courses like Praktische Informatik I , Blockchain Security , and team projects on cryptocurrency forensics. He has also supervised student theses, though specific advisee names are not listed. His scientific contributions span both academic conferences (e.g., PETS, ACSAC) and specialized journals (e.g., International Journal of Network Management). Recent work emphasizes adversarial attacks on privacy mechanisms and blockchain-based systems. No formal awards are noted in the provided text. Research activities are conducted under the Arbeitsgruppe Theoretische Informatik und IT-Sicherheit, focusing on practical applications of theoretical computer science to real-world cybersecurity challenges. Media engagements include contributions to SWR/Tagesschau and NDR/funk on topics like Citrix security vulnerabilities and Bitcoin transaction tracking.

• Cybersecurity
• Healthcare IT Security
• Machine Learning
• +۴ مورد دیگر

Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.

Silje Anderdal Bakkenمشاهده پروفایل

پژوهشگر ارشد

• Digital criminology
• Qualitative methods
• Illegal markets
• +۵ مورد دیگر

Silje Anderdal Bakken is a Postdoctoral Fellow at the Department of Criminology and Sociology of Law, Faculty of Law, University of Oslo. She is actively engaged in research on digital criminology with a focus on illegal markets, social media, and drug-related activities in digital spaces. She contributes significantly to the ERC-project "Digital DNA" led by Mareile Kaufmann, examining the evolving relationship between technology, DNA, and evidence. Her educational background includes a PhD from the Department of Sociology at University of Copenhagen with a dissertation titled Drug dealing on social media. A sociological study of risk, trust, and capital in illegal markets . She also holds Master's and Bachelor's degrees in criminology from the University of Oslo, and a Bachelor's degree in sociology from the University of Bergen. In 2022-2023, she worked as a university lecturer at IKRS. Bakken's research interests center on digital criminology and qualitative methods, particularly digital ethnography and digital interviews. Her work explores how illegal drug markets operate on social media and darknet platforms, examining risk, trust, and capital formation in these digital environments. She investigates the visual aspects of online drug markets, the transition from traditional dealing to social media influencing, and the development of digital capital in illegal markets. Her publication record reveals a strong focus on the intersection of digital technology and criminology, with particular emphasis on social media platforms as venues for illegal drug markets. Her research demonstrates methodological innovation through the development of app-based textual interviews and visual analysis of digital criminal spaces. The work spans theoretical contributions to criminological understanding of digital markets while maintaining empirical grounding in Nordic contexts. Bakken teaches and supervises across multiple courses at bachelor's and master's levels, including KRIM1100 Introduction to criminology, KRIM2963 and KRIM4963 Crime and technology, and various thesis supervision courses. Her teaching responsibilities cover qualitative methods at both undergraduate and graduate levels, reflecting her expertise in digital research methodologies. She is affiliated with several research groups including Law and Technology (JOT), Police and Technology, and thematic groups focused on Digital criminology, Research ethics, and Criminological theory. Her current work on the ERC-project "Digital DNA" represents a significant expansion of her research into the relationship between consumer DNA testing and law enforcement practices.

Chris J. GauthierDickeyمشاهده پروفایل

دانشیار

• Peer-to-Peer Networking
• Secure Consistency
• Computer Games
• +۵ مورد دیگر

Chris J. GauthierDickey is an Associate Professor and Chair of the Department of Computer Science at the University of Denver's Ritchie School of Engineering and Computer Science. He also serves as Director of Game Development Programs and is a member of the Colorado Research Institute for Security and Privacy. His research focuses on peer-to-peer networking, secure consistency, and multiplayer game systems. He holds a PhD (2007) and B.S. (2001) in Computer Science from the University of Oregon, supported by an NSF Graduate Research Fellowship (2002-2005). Key research areas include: Peer-to-peer architecture for games and voice communication Networked virtual environments Distributed simulation systems Game development pedagogy He has received grants totaling over $700k, including leadership in IA workforce development initiatives. Courses taught span graduate/undergraduate levels in networking, security, and game programming. Notable publications include work on multiplayer game measurement (NetGames 2010), peer-to-peer voice protocols (VRST 2009), and distributed stream processing frameworks (NPC 2010).

Brit Davidsonمشاهده پروفایل

مدرس ارشد

• Digital Health
• Cybersecurity
• Behavioral Science
• +۳ مورد دیگر

Brit Davidson is a Senior Lecturer at the University of Bath in the Department of Management Information, Decisions & Operations. She is affiliated with multiple research centers including the Applied Digital Behaviour Lab, Centre for Qualitative Research, and Institute for Digital Security and Behaviour. Her work focuses on using digital traces to understand human behavior in security and health contexts, employing methods like machine learning, computational linguistics, and qualitative techniques. She teaches MSc courses on Data Mining and Machine Learning. Davidson also serves on the Social Sciences Research Ethics Council (SSREC) at Bath and the Security Research Ethics Council (SREC) at Lancaster University. Her research explores how individuals adapt behavior across online and offline contexts, with a focus on measurement challenges and ethical considerations. Notable projects include studies on sentiment analysis, computational reproducibility, and inclusive digital mental health tools. She has held honorary roles at the University of Bristol in Digital Health and served as a Policy Advisor in the UK Cabinet Office. Davidson has been recognized as a Global Ambassador for the UK under the Global Council for Responsible AI (2025). Her work contributes to UN Sustainable Development Goals related to health and innovation. She leads projects funded by government agencies, focusing on areas like social data bias and AI ethics.

• Cybercrime
• Economic Crime
• Network Analysis
• +۴ مورد دیگر

David Décary-Hétu is a Full Professor at the University of Montreal's Faculty of Arts and Science, Department of Criminology. He currently serves as Interim Director of the Centre international de criminologie comparée (CICC). His research focuses on cybercrime, economic crime, network analysis, and big data, with a particular emphasis on darknet markets, cybersecurity, and illicit online activities. He has advised numerous graduate students and leads major research projects funded by organizations like FRQSC and the Social Sciences and Humanities Research Council (SSHRC). Key affiliations include the Darknet and Anonymity Research Center (DARC) and the Smart Cybersecurity Network (SERENE-RISC). He has published extensively on topics including cryptomarket dynamics, police crackdown impacts, and cybercriminal networks. Notable awards include the 2015 ISSDP Best Presentation Award (Young Researcher) and the 2009 Prix Daniel Élie. His grants include leadership roles in strategic research groups like the Centre international de criminologie comparée (CICC) and projects on cybersecurity resilience, cyberfinancial fraud, and the impact of police operations on darknet offenders. He collaborates internationally on studies of illicit drug markets, cryptocurrency use in crime, and organized crime adaptation strategies. Labs/Teams: Director of DARC and core member of CICC; participates in interdisciplinary cybersecurity teams like the Human-Centric Cybersecurity Partnership.

• Forensic Psychiatry
• Child and Adolescent Psychiatry
• Criminal Psychology
• +۳ مورد دیگر

Niklas Långström is a Professor at Karolinska Institutet, specializing in forensic psychiatry and child/adolescent mental health. His research focuses on coercion in psychiatric care, recidivism risk assessment, and digital interventions for criminal behaviors. Key Research Areas : Coercion in child psychiatry, sexual offending risk factors, internet-delivered CBT applications. Methodologies : Mixed-methods studies, population-based analyses, systematic reviews. Recent publications highlight his work on ethical challenges in mental health services and data-driven tools for predicting criminal behavior. Collaborations span institutions in Sweden, the UK, and the US.