جست‌وجوی استاد و پژوهشگر

Dali Kaafarمشاهده پروفایل

استاد

• Cybersecurity
• Privacy Preserving Technologies
• Web Security and Malware Detection
• +۶ مورد دیگر

Professor Dali Kaafar is a leading academic and Executive Director of the Cyber Security Hub at Macquarie University's School of Computing. His work focuses on privacy-preserving technologies, web security, malware detection, authentication systems, and network modeling. He has contributed to over 187 research outputs and holds an h-index of 33. His projects span areas such as AI-driven anti-scam systems, blockchain applications, and privacy-preserving data sharing. Research Interests: His primary research areas include cybersecurity fundamentals, privacy-preserving machine learning, mobile application security audits, and the application of blockchain in secure systems. He explores cutting-edge topics like adversarial AI, IoT security, and differential privacy mechanisms to protect user data. Key Projects: Pitting AI Against Phone Scams (2024–2025) Central Bank Digital Currency Infrastructure (2023–2028) Cyber Security Workforce Training Program (2022–2024) Scientific Contributions: ACM AsiaCCS 2019 Best Paper Award Over 2000 citations across his publications Lab and Team Affiliations: He leads the Cyber Security Hub and collaborates with the Future Communications Research Centre, fostering interdisciplinary research in secure communications and emerging technologies.

Robert Lagerströmمشاهده پروفایل

استاد

• Cyber Security
• Information Systems
• Threat Modeling
• +۶ مورد دیگر

Robert Lagerström is a Professor at KTH Royal Institute of Technology specializing in Industrial Information Systems. His research focuses on developing automated cyber security frameworks and threat modeling methodologies for large-scale IT environments. Key areas include vulnerability analysis of IoT, automotive systems, and critical infrastructure, with a particular emphasis on probabilistic modeling and simulation languages like vehicleLang and powerLang. He collaborates extensively with industry partners across automotive, banking, energy, and cloud sectors to validate practical security solutions. His work emphasizes model-based security analysis that avoids disrupting live systems, enabling safe testing of cyber defenses. Notable contributions include the securiCAD tool for enterprise cyber security management and the PatrIoT framework for agile threat research in IoT ecosystems. Lagerström's research integrates enterprise architecture modeling with security behavior analysis, addressing challenges in digitalization and agile development environments. He has pioneered methods for quantifying attack resilience through probabilistic threat simulations and has published widely on topics such as LPWAN security, SCADA system vulnerabilities, and ethical considerations in offensive cyber training. His work bridges theoretical cyber security concepts with real-world implementation challenges in both traditional IT and emerging technologies like blockchain and microservices architectures.

• Supply Chain Resilience
• Digital Transformation
• Sustainable Operations
• +۳ مورد دیگر

Sobhan (Sean) Arisian is Associate Professor of Supply Chain and Logistics at La Trobe Business School. He leads the Sustainable Operations Management discipline and serves as Associate Investigator at the ARC Training Centre in Optimisation Technologies (OPTIMA). Research focuses on supply chain resilience, digitalization, and sustainability—particularly decarbonization of maritime transport and disaster relief logistics. Recent publications demonstrate strong emphasis on quantitative optimization models, with recurring themes in: Robust optimization for disruption management Sustainable logistics decarbonization Humanitarian supply chain coordination Quantum computing applications in operations Awarded the Inaugural Collaborative Research Award by BAM/ANZAM and Outstanding Reviewer recognition. Secured $382,742 from Australian Government for Quantum Enhanced Optimisation project and $234,400 DFAT National Focused Grant. Collaborates with University of Cambridge scholars and industry partners on digital transformation strategies. Editorial roles include Associate Editor for Transportation Research Part E and IEEE Transactions on Engineering Management.

Di Yangمشاهده پروفایل

پژوهشگر

• Policy and Impact Evaluation
• Health Inequality
• Health Economics
• +۳ مورد دیگر

Di Yang is a researcher at the London School of Economics (LSE), affiliated with the Department of Health Policy. He holds a PhD in Health Policy and Administration from Penn State University. His work focuses on health inequality and socioeconomic determinants of health in low- and middle-income countries, particularly in India, China, and Nepal. Yang's research evaluates government policies and interventions' impacts on health equity and well-being, with recent projects involving machine learning to analyze health determinant elasticity and cost-effectiveness of social investments. He collaborates with Dr. Zlatko Nikoloski on universal healthcare assessments in Pakistan and Bangladesh. Key research interests include policy impact evaluation, social determinants of health, and applications of machine learning in public health. His recent studies explore health insurance reforms in China, antibiotic dispensing practices in Nepal, and livestock ownership's role in anaemia reduction in Sub-Saharan Africa. Yang also examines governance challenges in Africa, including anti-corruption reforms, digital governance innovations, and legislative effectiveness in Kenya and Zambia. Yang's work bridges empirical analysis and policy design, emphasizing evidence-based approaches to address systemic inequalities. His collaborations with international teams highlight cross-disciplinary methods, combining quantitative techniques with qualitative insights from policy implementation contexts. Current projects include digitalization of social safety nets for older persons in Kenya and blockchain applications for public accountability in governance systems.

Andrey Kuehlkampمشاهده پروفایل

پژوهشگر ارشد

• Biometrics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Andrey Kuehlkamp is a Postdoctoral Research Associate at the Center for Research Computing (CRC) of the University of Notre Dame. He holds a Ph.D. from the same institution, focusing on iris biometrics. His research spans blockchain analytics, supply chain management applications of blockchain, computer vision, machine learning, and distributed systems. He is particularly known for contributions to biometric security, including post-mortem iris recognition and presentation attack detection. Educational Background: Ph.D. in Biometrics and Computer Vision, University of Notre Dame Research Focus: Dr. Kuehlkamp’s work bridges theoretical advancements in biometrics and practical implementations in blockchain technologies. His biometric research emphasizes forensic applications and the ethical use of AI in recognition systems. In blockchain, he explores trust frameworks, decentralized applications, and security protocols to enhance transparency and reliability. Articles Trends: His publications reflect a dual focus on biometrics and blockchain innovation. Early work (2014–2020) centered on iris recognition techniques, including post-mortem analysis and gender prediction challenges. Recent contributions (2022–2025) pivot toward blockchain’s role in trust systems, fraud detection, and cross-chain interoperability, demonstrating interdisciplinary collaboration between computer science and cybersecurity. Labs/Teams: As part of the CRC, he collaborates on projects requiring high-performance computing and data analysis, leveraging the center’s resources to tackle complex problems in distributed systems and forensic technology.

Francesc Wilhelmiمشاهده پروفایل

استاد

• Wi-Fi Technologies
• Network Simulation
• Machine Learning
• +۳ مورد دیگر

Francesc Wilhelmi is a Tenure-Track Professor at Universitat Pompeu Fabra (UPF) and a Research Engineer at Nokia Bell Labs . He holds a Ph.D. in Information and Communication Technologies (2020) and an M.Sc. in Intelligent and Interactive Systems (2016), both from UPF. His research focuses on Wi-Fi technologies , machine learning , decentralized learning , and blockchain applications in telecommunications . He previously served as a researcher at CTTC and taught at UPF (2015–2020) and Universitat Oberta de Catalunya (2020–2022), specializing in networking courses. Key contributions include the Komondor wireless network simulator and standardization work at ITU-T , notably editing recommendation Y.3181 on Machine Learning Sandboxes. Active in FG-ML5G , organizing problem statements for the ITU AI/ML in 5G Challenge. Explores blockchain for O-RAN sharing and AI-driven spatial reuse in 5G/6G networks. His work bridges network simulation with machine learning to address challenges in dense wireless environments, emphasizing practical implementations and open-source tools.

Shreyas Kumarمشاهده پروفایل

استاد

• Cybersecurity
• Cyber Warfare
• Blockchain Security
• +۴ مورد دیگر

Shreyas Kumar is a Professor of Practice in the Department of Computer Science & Engineering and Joint Courtesy Faculty in Multidisciplinary Engineering at Texas A&M University. He holds affiliations with the College of Engineering and the Department of Cybersecurity. His academic journey includes a B.S. from Indian Institute of Technology Roorkee (1999) , M.S. in Computer Science (2005) , and an expected Ph.D. in Computer Science (2025) from Texas A&M University. His research focuses on Cybersecurity , Cyber Warfare , Blockchain Security , and Cyber Liability Insurance . He has over 20 years of industry experience, including roles as a Security Architect at Uber and Oracle, designing critical systems like Uber’s payment security infrastructure and Oracle Access Manager. He currently teaches courses on cybersecurity risk, blockchain, and security engineering. Leadership & Service : He serves on committees such as the Data Governance Committee (Texas A&M), U.S. National Committee Technical Advisory Group on Quantum Technologies, and the FBI InfraGard. He advises the Technology Incubation and Entrepreneurship Development Society at IIT Roorkee and chairs the Promotions and Tenure Committee in CSE. His work bridges academia and industry, emphasizing practical cybersecurity solutions. Notable contributions include Blockchain Applications for Cyber Liability Insurance , Cyber Security Kill Chain , and research on AI’s impact on phishing and cyber warfare strategies. Awards include the Academy of Future Faculty Fellow (2024) and Best Practices in Teaching for DEI (2019) . Community involvement includes roles with the Rotary Club of College Station and the Board of Directors for ACT for Mental Health. His lab, AGGIES Lab , explores AI-driven cybersecurity for government and infrastructure sectors.

• Computer Architecture
• Computer Security
• Quantum Computing
• +۵ مورد دیگر

Assoc Prof Anupam Chattopadhyay is an Associate Professor in the College of Computing & Data Science at Nanyang Technological University (NTU), Singapore. He also holds a courtesy appointment in the School of Physical & Mathematical Sciences. His research focuses on computer architecture, security, design automation, and quantum computing. Anupam received his PhD from RWTH Aachen University in 2008, followed by roles at CoWare R&D and RWTH Aachen as a Junior Professor before joining NTU in 2014. Education: B.E., Jadavpur University, India MSc, ALaRI, Switzerland PhD, RWTH Aachen University, Germany Research Interests: Anupam’s work spans quantum computing, hardware security, AI security, post-quantum cryptography, and emerging technologies. His contributions include novel high-level synthesis techniques for cryptography, reliability estimation flows for embedded processors, and exploration of coarse-grained reconfigurable architectures. His research has been featured in major outlets like The Economist and Asian Scientist. Awards: Borcher's plaque (2008) for outstanding doctoral dissertation Nomination for Best IP Award (ACM/IEEE DATE 2016) Nomination for Best Paper Award (International Conference on VLSI Design 2018) Advising & Grants: Anupam leads a team of over 20 researchers, overseeing projects funded by various grants. He has advised numerous doctoral students and collaborates with institutions like Temasek Labs and the Indian Statistical Institute. Labs & Teams: His research group focuses on advanced topics in secure computing, quantum-resistant systems, and hardware-software co-design, leveraging cutting-edge tools and platforms for next-generation technologies.

Alfredo Perezمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Cybersecurity
• +۴ مورد دیگر

Alfredo Perez, Ph.D., is an Associate Professor and Graduate Program Chair for MS CS Education in the College of Information Science & Technology at the University of Nebraska at Omaha. He holds a doctorate and M.Sc. in Computer Science from the University of South Florida (2011, 2009) and a B.Sc. in Systems Engineering from Universidad del Norte, Barranquilla (2006). Education: Ph.D., Computer Science & Engineering, University of South Florida (2011) M.Sc., Computer Science & Engineering, University of South Florida (2009) B.Sc., Systems Engineering, Universidad del Norte, Barranquilla (2006) Dr. Perez's research focuses on privacy, mobile/ubiquitous computing, and computer science education. His recent work explores blockchain security, IoT privacy frameworks, and machine learning for malware detection. He also investigates formal modeling techniques for secure systems and wearables' facial privacy solutions. His publications reveal trends in privacy-preserving IoT architectures , blockchain applications , machine learning security , and formal verification methods . Research spans from technical implementations to societal impacts of privacy technologies. Scientific Recognition: IEEE Senior Member Member, U.S. National Academy of Inventors Dr. Perez has served on technical committees for journals/conferences like Elsevier Computer Communications and reviewed grants for the National Science Foundation. His teaching expertise covers computer programming, machine learning, and CS teacher education.

Catrina Denvirمشاهده پروفایل

استاد

• Access to Justice
• Artificial Intelligence in Law
• Legal Technology
• +۵ مورد دیگر

Professor Catrina Denvir is a leading academic in Business Law & Taxation at Monash Business School, Monash University, specializing in the intersection of law, technology, and access to justice. She joined Monash from Ulster University where she directed the Legal Innovation Centre, and maintains active research leadership through Impact Labs. Her educational background includes a PhD in Law from University College London (2014), BA (Hons) in Law from University of Cambridge (2008), BPPM (Hons) in Public Policy & Management from University of Melbourne (2006), and BA in Political Science from University of Melbourne (2004). Denvir's research focuses on technological innovation in legal service delivery , artificial intelligence in law , and access to justice , employing advanced methodologies including virtual avatar studies, large-scale legal need surveys, and multilevel statistical modeling. Her work significantly contributes to UN Sustainable Development Goals related to justice and quality education. Recent publications reveal a strong emphasis on online court systems , legal aid sustainability , and pricing transparency in legal services , with notable 2025 work on court accessibility measurement and 2023 analyses of Victorian legal pricing practices. Dean's Award - Excellence in Research - Early Career Researcher (2019) Dean's PRME Research Excellence Award (2020) Monash Business School's Dean’s List (2024) Denvir actively supervises PhD students and leads significant research projects including the Exploring Barriers to Costs Disclosure Compliance study for the Victorian Legal Services Board (2022-2023) and the We Are Legal Aid census analysis (2021). She maintains extensive consultancy engagements with organizations like the Legal Education Foundation, Money Advice Trust, and Civil Justice Council of England and Wales.

• E-commerce Logistics
• AI Transformation in Supply Chains
• Data-Driven Decision Support Systems
• +۳ مورد دیگر

Dr. Eric K.H. Leung is an Associate Professor at the University of Liverpool Management School, specializing in Digital Business & Data Analytics. He holds editorial roles including Section Editor of the Encyclopedia of Operations Management and Associate Editor of the International Journal of Engineering Business Management. His research focuses on e-commerce logistics, AI-driven supply chain transformation, and digital twin frameworks in warehouse management. He earned his PhD from Hong Kong Polytechnic University, funded by the Innovation and Technology Commission, and previously worked as a Post-doctoral Research Fellow at the University of Hong Kong. Dr. Leung’s research interests include: (1) e-commerce logistics and transportation management, (2) AI’s impact on global supply chains, and (3) integration of optimization and machine learning for decision support systems. Notably, his system for warehouse order fulfillment won the Hong Kong ICT Award 2016. He teaches modules like BUSINESS SIMULATION AND ANALYSIS and leads courses on Digital Business Technology and Management. His recent publications emphasize drone delivery risks, reinforcement learning in logistics, and blockchain-IIoT integration. He has contributed to journals such as European Journal of Operational Research and IEEE Transactions on Engineering Management. His work bridges academic research with industry applications, particularly in the Greater Bay Area and Hong Kong logistics sectors. Editorships: Encyclopedia of Operations Management, Transportation Research Part E, IEEE Transactions on Engineering Management Teaching Roles: Module Co-ordinator for EBUS603 and EBUS537 Key Projects: Community logistics frameworks, Physical Internet developments, and Total Fulfillment Management principles

Anastasija Collenمشاهده پروفایل

مدرس

• Cybersecurity
• IoT Security
• Automotive Systems Cybersecurity
• +۳ مورد دیگر

Anastasija Collen is a Lecturer at the Research Institute for Statistics and Information Science at the University of Geneva . She holds a Ph.D. from the same institution and specializes in cybersecurity, IoT security, and automotive systems. Her work focuses on developing secure architectures, cryptographic protocols, and regulatory frameworks for connected and automated vehicles. Her research spans Automotive cybersecurity standards and certifications Trust modeling in distributed networks Blockchain applications for IoT security Human-centric risk visualization Data privacy compliance (GDPR) Recent publications emphasize secure automotive systems , including trusted platform modules (TPM), lightweight cryptographic protocols (LOKI-2), and certification roadmaps. She also explores IoT security through frameworks like anomaly-based intrusion detection and blockchain-enhanced defense mechanisms. Collen’s work has been presented at conferences such as IEEE ICCP , ARES , and IEEE EuroS&PW , with over 40 peer-reviewed articles since 2018. She maintains an active presence on ResearchGate and Google Scholar .

Elif Küzeciمشاهده پروفایل

دانشیار

• Data Protection Law
• Telehealth Compliance
• Public Law
• +۷ مورد دیگر

Assoc. Prof. Dr. Elif Küzeci is an Associate Professor and Associate Dean at the Faculty of Law, Bilkent University. Her primary affiliation is with the Public Law Department where she focuses on cutting-edge legal issues at the intersection of technology and privacy. She holds a key administrative role managing academic affairs and strategic initiatives within the faculty. Her research interests span data protection law, telehealth compliance frameworks, blockchain's legal implications, and digital rights governance. Notable areas of expertise include GDPR implementation in Turkey, telemedicine regulations, and ethical considerations in emerging technologies like AI and biometric systems. Prof. Küzeci’s recent publications (2020-2025) reveal a focus on modern challenges such as blockchain-based privacy solutions, telehealth legal frameworks during pandemics, and cross-border data transfer mechanisms. Her work bridges technical innovation with legal accountability, often critiquing surveillance practices and advocating for human-centric data governance models. No scientific awards are explicitly mentioned in the provided texts. Her academic advising and grant activities remain unspecified, though her administrative role suggests involvement in institutional research funding initiatives. She contributes to Bilkent's legal education programs including LLM and PhD specializations in Public and Private Law.

Pınar Çağlayan Aksoyمشاهده پروفایل

استادیار

• Artificial Intelligence Law
• Blockchain and Cryptocurrency Regulation
• Data Privacy and Protection
• +۳ مورد دیگر

Asst. Prof. Dr. Pınar Çağlayan Aksoy is an Assistant Professor in the Civil Law Department at Bilkent University, currently on sabbatical leave. Her research focuses on cutting-edge legal challenges posed by emerging technologies, particularly in AI, blockchain, and digital finance. She holds a prominent position in academic and policy discussions around data privacy, smart contracts, and regulatory frameworks for cryptocurrencies and NFTs. Her research interests span AI’s implications for financial regulation, blockchain applications in supply chains and commerce, and the legal treatment of digital assets. She has also contributed to comparative analyses of property and intellectual property laws in civil vs. common law jurisdictions. Recent work highlights trends in global regulatory approaches to smart contracts, NFT copyright issues, and the intersection of AI with consumer protection. Her scholarship emphasizes balancing innovation with legal safeguards in rapidly evolving digital ecosystems. No scientific awards are explicitly listed in the provided materials. Her advising activities and grants are not detailed in the text. She contributes to Bilkent’s academic community through teaching and research in civil law modernization amid technological advancements.

Hannah Caoمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Cyber Security
• Distance Learning
• +۴ مورد دیگر

Hannah Cao is a Senior Lecturer in Computer Science Education and Director of Online Studies at King's College London's Department of Informatics. She holds a PhD from the National University of Singapore and prior academic roles including Principal Lecturer at the University of Hertfordshire, Research Fellow at NUS, and Assistant Professor at Huazhong University of Science and Technology. She is a Senior Fellow of the Higher Education Academy (SFHEA). Her research focuses on Computer Networks (Future Networking, IoT Protocol Design, Quantum-based Mobile Ad Hoc Networks), Cyber Security (Authentication Protocols, IoT Security, Blockchain Applications), and Distance Learning (Online Pedagogy, Academic Integrity, E-Learning Security). She leads initiatives in cybersecurity education innovation, including leveraging AI and blockchain for threat intelligence and curriculum design. Recent work includes studies on post-pandemic education impacts, SDN/P4 protocol evaluation, and inclusive group assessment strategies. She contributes to interdisciplinary research hubs like the Trusted Autonomous Systems Hub and King's Cybersecurity Centre, focusing on trustworthy systems and FinTech intersections. Awards include SFHEA recognition for educational excellence. Her 80+ publications span peer-reviewed journals/conferences, with emphasis on network security, education technology, and protocol design.