جست‌وجوی استاد و پژوهشگر

• Cyber Security
• Cryptography
• Steganography
• +۶ مورد دیگر

Rainer Böhme is a Professor at the University of Münster, Germany. His research focuses on cyber security, cryptography, steganography, digital forensics, and blockchain technology. He has made significant contributions to understanding cyber risk quantification, central bank digital currencies (CBDCs), and the socio-technical challenges in cryptocurrency systems. Key areas of research include steganalysis (analysis of hidden data in digital media), forensic techniques for neural network inference pipelines, and the economic implications of cyber insurance. He actively contributes to conferences like the Financial Cryptography Workshops (FC) and the Workshop on Information Hiding and Multimedia Security (IH). Böhme's work bridges theory and practice, addressing real-world issues such as privacy in CBDCs, adversarial attacks on AI systems, and the role of law enforcement in cryptocurrency markets. His recent studies explore the security implications of image orientation in JPEG files and the detection of privileged parties in blockchain transactions. He has collaborated with institutions like the University of Vienna and ETH Zurich, and his research has been published in top-tier venues such as IEEE Transactions on Information Forensics and Security and the ACM Conference on Computer and Communications Security (CCS).

Lawrence M. Ausubelمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Economics of Asymmetric Information
• +۴ مورد دیگر

Lawrence M. Ausubel is a Professor of Economics in the Department of Economics at the University of Maryland. He received his PhD in Economics (1984), Master of Legal Studies, and MS in Mathematics from Stanford University. His research focuses on microeconomic theory, game theory, and the economics of asymmetric information, with applications to auction theory and market design. PhD in Economics (Stanford University, 1984) Master of Legal Studies (Stanford Law School) MS in Mathematics (Stanford University) AB in Mathematics (Princeton University) A leading expert in auction theory, Ausubel has made significant contributions to dynamic auctions, combinatorial bidding, and market mechanisms. His work includes developing the efficient ascending-bid auction format (known as the 'Ausubel auction'), analyzing durable goods monopoly, and studying bargaining under incomplete information. He has also explored credit card market dynamics, financial rescue strategies, and electricity market design. Recent research involves cryptographic choice mechanisms, core-selecting auctions with incomplete information, and iterative pricing models. His publications span journals like Review of Economic Studies , American Economic Review , and Econometrica , with patents in auction technology and applications in telecommunications, energy, and finance. 23 U.S. patents related to auction technology Testified before U.S. Congress on credit card markets Founded Power Auctions LLC (2003) Co-inventor of auction formats used by FCC, ISED Canada, and ACMA

Liang Xueمشاهده پروفایل

استادیار

• Applied Cryptography
• Cybersecurity
• Data Security and Privacy
• +۴ مورد دیگر

Liang Xue is an Assistant Professor in the School of Information Technology at York University. She holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2022) and completed a postdoctoral fellowship at the University of Guelph’s School of Computer Science (2022–2024). Her research focuses on applied cryptography, blockchain security, privacy-preserving AI, and cybersecurity in cloud and IoT systems. She has published in top-tier journals like IEEE Transactions on Dependable and Secure Computing, and conferences such as IEEE International Conference on Communications. Her work addresses challenges in data privacy, secure authentication, and regulatory compliance in decentralized systems. Recent projects include privacy-enhancing technologies for access control, blockchain-based data trading frameworks, and federated learning with privacy guarantees. She actively contributes to standards for cybersecurity in smart cities and next-generation wireless networks.

Ben Findlayمشاهده پروفایل

مدرس ارشد

• Digital Forensics
• Mobile Forensic Investigations
• Cloud Forensics
• +۴ مورد دیگر

Ben Findlay serves as Senior Lecturer in Computer & Digital Forensics within the Department of Computing and Games at Teesside University, where he leads the BSc (Hons) Computer and Digital Forensics and MSc Digital Forensics and Cyber Investigation programmes. His prior career as a Digital Forensic Investigator with North Yorkshire Police involved high-profile cases including murder, child abuse, and cybercrime, providing real-world context to his academic work. He earned both his BSc (Hons) in Applied Science and Forensic Investigation and MSc in Digital Forensics from Teesside University. His research program focuses on forensic artefacts, mobile and cloud investigations, and child protection, with particular expertise in Linux systems, embedded devices, and digital policing methodologies. Analysis of his recent publications reveals a consistent trajectory toward solving practical forensic challenges in under-resourced environments, with significant contributions to Linux forensics (including thumbnail analysis and encryption access), embedded device acquisition, and standard operating procedures for law enforcement. His work bridges academic research and police practice through active consultancy and professional scheme assessments. Fellow of Higher Education Academy Member of Chartered Institute for IT (BCS) Member of Chartered Institute of Information Security (CIISec) Assessor for College of Policing's ICDIP scheme Member of Chartered Society of Forensic Sciences (CSFS) Ben supervises postgraduate research in digital forensics areas and organizes the student-led Teesside Digital Forensics Conference (TDFCon), demonstrating commitment to developing the next generation of forensic practitioners through hands-on learning experiences.

Alan Woodwardمشاهده پروفایل

استاد

• Cyber Security
• Digital Forensics
• Cryptography
• +۵ مورد دیگر

Professor Alan Woodward is a renowned computer security expert at the University of Surrey, affiliated with the Surrey Centre for Cyber Security and Computer Science Research Centre. His career spans academia, government service, and private sector leadership, including pivotal roles in IT businesses like Charteris plc. He holds fellowships and chartered status across multiple prestigious institutions and actively advises governmental bodies such as Europol. Education: Undergraduate studies in Physics & Astronomy Postgraduate research in adaptive filtering and signal recovery at the University of Southampton's Institute of Sound and Vibration Research Research Focus: Woodward's interdisciplinary work bridges cybersecurity, digital forensics, and signal processing. His expertise includes cryptographic methods, steganography for covert communications, digital watermarking for data protection, and novel approaches to forensic computing. Current projects explore quantum computing threats and real-world cybercrime mitigation. Publication Trends: His recent articles demonstrate a strong focus on emerging cyber threats across societal and technical domains. Key themes include quantum cryptography vulnerabilities, organized cybercrime patterns, critical infrastructure risks, mobile/cloud security challenges, and public cybersecurity education with practical guidance for digital safety. Honors & Credentials: Fellow: Institute of Physics, British Computer Society, Royal Statistical Society Chartered Status: Engineer (CEng), IT Practitioner (CITP), Physicist (CPhys) Eur Ing (European Engineer) Leadership & Outreach: Beyond academic research, Woodward directs technology enterprises and leads public STEM engagement. He frequently contributes to international media (BBC, The Times, The Telegraph) as a cybersecurity commentator. His Surrey research teams collaborate with law enforcement and industry partners on threat intelligence initiatives.

• Cybersecurity
• Data Security and Privacy
• Context-Aware Access Control
• +۵ مورد دیگر

Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.

• Distributed Systems
• Cybersecurity
• Sports Technology
• +۷ مورد دیگر

Dag Johansen is a Professor in the Department of Informatics at UiT The Arctic University of Norway, Tromso campus. His work spans multiple research areas at the intersection of computer science, sports science, medicine, health technology, and nutrition science. He leads the interdisciplinary "Corpore Sano" research center and is actively involved in several research groups including the Cyber Security Group (CSG) and Crime Control and Security Law. Professor Johansen's research focuses on developing fundamental software solutions for secure and error-free data processing in heterogeneous distributed systems, ranging from lightweight "Internet of Things" devices and mobile phones to large-scale cloud solutions. His work particularly emphasizes applications in sports technology, edge computing, and compliance technology. His research interests include distributed systems, cybersecurity, sports technology, edge computing, data privacy, AI for sports analytics, multimedia forensics, and compliance technology. His recent publication trends show a strong focus on AI applications for sports video analysis, particularly in soccer and ice hockey, where his team has developed AI-based cropping systems for social media representations. He also has significant work in data privacy and GDPR compliance, especially regarding the "third country problem," as well as applications of AI in sustainable fishing practices. His 2024-2025 publications demonstrate continued work in self-healing microservices, lightweight encryption for video feeds, and virtual reality training environments. Professor Johansen is actively involved in mentoring students and research collaborators, as evidenced by his extensive publication record with numerous co-authors including doctoral students and postdoctoral researchers. His work has received funding through various research projects focused on data analytics, privacy technology, cybersecurity, and sports technology applications. He leads the interdisciplinary "Corpore Sano" center, which brings together researchers from computer science, sports science, medicine, health technology, and nutrition science. His work also involves collaboration with the "Njord" project focused on sustainable fishing through AI applications, and he's involved in developing the "Áika" distributed edge system for AI inference.

Simone Browneمشاهده پروفایل

دانشیار

• Surveillance Studies
• African and African Diaspora Studies
• Critical Race Theory
• +۸ مورد دیگر

Simone Browne is Associate Professor in the Department of African and African Diaspora Studies at the University of Texas at Austin and Research Director of Critical Surveillance Inquiry (CSI) with Good Systems, a research collaborative examining the social and ethical implications of surveillance technologies. She holds a Ph.D. in Sociology and Equity Studies in Education from the University of Toronto. Her research focuses on surveillance studies through the lens of Black studies, examining how contemporary surveillance technologies are informed by the historical practices of racial formation and policing of Black life. Browne's work spans historical analysis of slavery-era surveillance practices to contemporary algorithmic bias and AI ethics, with a particular emphasis on how Black communities experience and resist surveillance. Browne's publications reveal a consistent focus on the intersection of race, technology, and power. Her work traces historical continuities between practices like slave branding and modern biometric identification systems, while also examining contemporary manifestations in airport security, facial recognition technology, and algorithmic decision-making. Her research demonstrates how surveillance has long been racialized, with Black bodies serving as sites for the development and testing of surveillance technologies. 2016 Lora Romero First Book Publication Prize by the American Studies Association 2016 Surveillance Studies Book Prize by the Surveillance Studies Network 2015 Donald McGannon Award for Social and Ethical Relevance in Communications Technology Research 2021 Matakyev Research Fellow at the Center for Imagination in the Borderlands Gerald LeBoff Visiting Scholar at New York University Browne actively engages with multiple research communities, serving on the Academic Council of AI NOW Institute, Executive Board of HASTAC, Board Member of The Dark Laboratory, and Community Advisory Board of the US Covid Atlas Project. Her teaching includes courses on Race/Gender/Surveillance and Surveillance: An Introduction, reflecting her interdisciplinary approach that bridges African diaspora studies, sociology, and technology studies. As Research Director of Critical Surveillance Inquiry, Browne leads collaborative efforts with scholars, organizations, and communities to develop frameworks for understanding and addressing algorithmic harm. She is currently working on her second book manuscript, which examines artistic interventions in the surveillance of Black life across multiple domains including policing, privacy, smart dust, COINTELPRO, encryption, electronic waste, and artificial intelligence.

Susan Landauمشاهده پروفایل

استاد

• Cybersecurity
• Privacy
• Surveillance
• +۳ مورد دیگر

Susan Landau is a Professor of Cyber Security and Policy in the Department of Computer Science at Tufts University. She previously held the Bridge Professorship at The Fletcher School and the School of Engineering, Tufts University. Her research focuses on the intersection of privacy, surveillance, cybersecurity, and law. Landau has authored influential books such as Listening In: Cybersecurity in an Insecure Age and Surveillance or Security? , and has testified before Congress and advised policymakers globally on encryption and cybersecurity issues. Education: BA from Princeton University, MS from Cornell University, PhD from MIT. Research Interests: Landau’s work addresses cybersecurity policy, privacy rights, and the ethical implications of surveillance technologies. She emphasizes the balance between national security and individual privacy, advocating for robust encryption standards and against government-mandated backdoors. Her interdisciplinary approach integrates technical, legal, and policy perspectives. Awards & Recognition: Landau has received prestigious awards including the McGannon Book Award, Surveillance Studies Book Prize, USENIX Lifetime Achievement Award, and induction into the Cybersecurity Hall of Fame. She is a Fellow of the Guggenheim Foundation, ACM, and AAAS. Professional Contributions: She has served on National Academies committees, NSF advisory boards, and editorial boards for journals. Landau also chairs workshops on AI contestability and cybersecurity policy, and advocates for diversity in STEM through initiatives like GREPSEC and the Athena Lectureship. Labs & Teams: While not explicitly mentioned, her work engages with interdisciplinary teams across academia, government, and industry to address cybersecurity challenges and policy frameworks.

Kimberly Tamمشاهده پروفایل

دانشیار

• Maritime Cybersecurity
• Autonomous Systems Security
• IT/OT/IoT Security
• +۳ مورد دیگر

Dr. Kimberly Tam is an Associate Professor in Cybersecurity at the School of Engineering, Computing and Mathematics, University of Plymouth. She specializes in maritime cybersecurity, focusing on ship IT/OT/IoT security, port infrastructure protection, autonomous vessels, offshore renewable energy systems, and smartphone security. She is affiliated with the Alan Turing Institute as the Theme Lead for Marine and Maritime. Her research addresses critical challenges in maritime autonomy, cyber-physical systems, and regulatory frameworks (e.g., IMO MASS). She has supervised 7 PhD students and 7 research staff across multiple projects, contributing to cyber resilience training and risk assessment tools like CERP and MaCRA. Her work emphasizes practical applications, such as penetration testing frameworks (BridgeInsight) and cost-benefit analysis methods for energy infrastructure cybersecurity. Teaching responsibilities include leading modules like Security Operations & Incident Management , Cyber-Physical Systems Security , and unmanned maritime systems operations. She has developed specialized courses in Hong Kong and Sri Lanka, integrating industry-relevant training. Her recent publications (2023–2025) highlight advancements in adversarial AI defense, ransomware mitigation in maritime contexts, and digital twin technologies for port optimization. She collaborates internationally, hosting visiting researchers from China, Turkey, and Norway, and supports early-career professionals through work experience programs.

Aftab Ahmadمشاهده پروفایل

استاد

• Machine Learning
• Cyber Security
• Public Health Prediction
• +۵ مورد دیگر

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Sunoo Parkمشاهده پروفایل

استادیار

• Security
• Privacy
• Technology Law
• +۶ مورد دیگر

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).

• Digital Communication
• Science and Technology Studies
• Augmented Reality
• +۳ مورد دیگر

Luke Heemsbergen is a Senior Lecturer in Communication at Deakin University's School of Communication and Creative Arts and the Alfred Deakin Institute for Citizenship and Globalisation. His research explores the intersection of digital technologies and societal power structures, focusing on how emerging media reshape political communication, human-computer interaction, and cultural practices. He co-leads the Immersive Realities Theme at Deakin Motion Lab and coordinates the Critical Digital Interfaces and Infrastructures research group. Research interests include: Digital media's role in political engagement and activism Augmented/extended reality as tools for environmental and health communication Algorithmic governance in institutional contexts Critical approaches to synthetic media and AI creativity His recent publications demonstrate sustained focus on platform politics, with 9/15 articles analyzing social media's role in elections, activism, and misinformation. Methodologically, he employs innovative digital approaches like 'backend-in' platform analysis and multimodal data visualization. Thematically, articles cluster around: 1) Pandemic technologies and surveillance, 2) Algorithmic management in institutions, and 3) Immersive media design. Supervision includes 8 doctoral students working on projects like embodied human-machine interfaces, EdTech supply chains, and surveillance law reform. Funded projects include: Defining Communication in a Digital Era (ACCAN grant) Techno-Totalitarianism vs. Disruptive Technologies (Gerda Henkel Stiftung) VR Wayfinding Visitor Experience Model (ID Laboratory)

• Cybersecurity
• Network Protocols
• Cloud Computing
• +۷ مورد دیگر

Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.

Phillipa Gillمشاهده پروفایل

دانشیار مدعو

• Computer Networking
• Cybersecurity
• Network Measurement
• +۳ مورد دیگر

Phillipa Gill is an Adjunct Associate Professor at the University of Massachusetts Amherst and a Research Scientist at Google, focusing on the Measurement Lab Project. She holds a Ph.D. in Computer Science from the University of Toronto (2012) and completed a postdoctoral fellowship at the Citizen Lab, Munk School of Global Affairs. Her research emphasizes computer networking and security, particularly network measurement techniques to study online information controls, routing security, and traffic differentiation. Education: Ph.D. in Computer Science, University of Toronto (2012) Postdoctoral Fellowship, Citizen Lab, University of Toronto (2012–2013) M.Sc. in Computer Science, University of Calgary (2007–2008) Bachelor’s Degree (not explicitly stated) Research Interests: Gill’s work addresses network interference, reliability, and security. She develops tools like the ICLab platform for measuring online censorship and collaborates across disciplines, including law and political science. Recent projects include analyzing China’s DNS censorship and evaluating domain name encryption privacy. Key Activities: General co-Chair, ACM Internet Measurement Conference (2016) Program co-Chair, USENIX FOCI (2015) and ACM CoNEXT Student Workshop (2013) Area Editor, ACM SIGCOMM Computer Communications Review (2013–2015) Awards: NSF CAREER Award, Google Research Award Best Paper Awards at IMC (2013) and PAM (2008) IBM Best Presentation Award (Cloud Computing) Anita Borg Fellowship finalist (2009–2010) Labs & Outreach: Leads the ICLab and Calipr Research Group. Co-founded the LED-Programming-Workshop to engage pre-college students in programming and STEM. Active in promoting diversity, such as hosting Women in Computer Science events.