جست‌وجوی استاد و پژوهشگر

Sukhvinder Haraمشاهده پروفایل

مدرس ارشد

• Electronic Security
• Digital Forensics
• Blockchain Engineering
• +۳ مورد دیگر

Sukhvinder Hara is a Senior Lecturer in the Department of Computer Science at Middlesex University. Her research focuses on electronic security, digital forensics, blockchain engineering, and financial inclusion challenges in digital systems. She holds a position in Hendon Town Hall and can be contacted at s.hara@mdx.ac.uk (Office: TG03). Her research interests include IoT security, digital forensic methodologies, blockchain applications for healthcare and finance, and mitigating risks of digital financial exclusion. Notable projects examine pandemic-era cybersecurity challenges, decentralized application frameworks, and regulatory compliance in blockchain systems. Publications span 2014–2025, emphasizing cybersecurity education, IoT forensic guidelines, and digital inclusion strategies. Recent work highlights the intersection of EdTech commodification, pandemic-era financial exclusion, and blockchain-based quality audits in healthcare. Collaboration enquiries should contact Dr Aboubaker Lasebae (research) or Prof Juan Augusto (PhD guidance). Teaching inquiries go to Dr Serengul Smith. No specific grants or labs are explicitly listed in available texts.

Maitreyee Deyمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Cybersecurity
• Smart Grids
• +۴ مورد دیگر

Dr. Maitreyee Dey is a Senior Lecturer in Computer Science and Applied Computing at London Metropolitan University. She leads the GENESIS Research Lab and serves as Deputy Director in Business Engagement at the Cyber Security Research Centre. Her research focuses on machine learning applications in smart grids, healthcare technology, IoT security, and HVAC systems optimization. She has pioneered projects involving fault detection in HVAC terminal units, cybersecurity compliance for IoT devices, and non-invasive medical diagnostics using microwave technology. Her work integrates machine learning with domain-specific challenges such as voltage anomaly detection in solar farms, predictive modeling for early-stage diabetes, and grid stability analysis using micro-PMU data. She also explores educational technology innovations like the VEMeter tool for virtual classroom participation tracking and AI-driven student engagement strategies. Dr. Dey has contributed to international conferences and authored numerous papers on topics ranging from smart building automation to radiation-free medical imaging systems. Her interdisciplinary approach bridges computer science, engineering, and healthcare, with a focus on real-world impact through industry partnerships and technology commercialization.

• Biomedical Informatics
• Nursing Informatics
• Clinical Research Informatics
• +۴ مورد دیگر

Katherine A. Sward is a Professor in Nursing and Biomedical Informatics at the University of Utah's School of Medicine. She holds a joint appointment in Biomedical Informatics and leads the COE Exposure Informatics Lab. Her roles include being MPI for the HEAL-ERN Data Coordinating Resource Center and Co-I for the CPCCRN, focusing on data harmonization and informatics initiatives. Dr. Sward's research spans Clinical Research Informatics, Environmental Exposure Science, and sensor-based health monitoring. She earned her PhD in Nursing from the University of Utah, alongside a MS, BS, and RN credentials. Her research emphasizes data-driven solutions for healthcare challenges, including opioid dosage standardization, real-time health service interfaces in Ghana, and social media's impact on mental health in older adults. She has pioneered tools like the Consent Builder for ethical research documentation and developed algorithms for analyzing environmental exposure patterns. Sward has mentored over 50 students and faculty, contributing to nursing education and informatics curricula. Her recent work explores patient-generated health data integration, pediatric asthma management, and temporal data modeling of EHR audit logs. Sward's projects often bridge clinical practice and translational research, addressing gaps in critical care, pediatrics, and gerontology. She co-directs the Center of Excellence for Exposure Health Research, advancing interdisciplinary studies on environmental health impacts.

Lingyu Wangمشاهده پروفایل

استاد مدعو

• Cloud Security
• Network Security
• Software Security
• +۳ مورد دیگر

Lingyu Wang is an Affiliate Professor at the Concordia Institute for Information Systems Engineering, Concordia University. He holds a Ph.D. in Information Technology from George Mason University (2006). His research focuses on cloud security, SDN/NFV security, security metrics, network security, software security, and privacy preservation. Dr. Wang has published extensively on topics including differential privacy systems, proactive security policy enforcement in containers, and cross-cluster security models for edge-core environments. His work also addresses challenges in securing industrial systems like IEC 61850 substations and 5G networks, leveraging techniques such as state auditing and event monitoring. His recent articles emphasize balancing security with performance efficiency, such as optimizing anomaly detection while preserving privacy and developing tools for real-time inconsistency detection in NFV environments. He has contributed to frameworks like ProSAS for proactive security auditing and VinciDecoder for automated forensic reporting in cloud environments. Dr. Wang’s research bridges theoretical cybersecurity principles with practical applications in cloud infrastructure, emphasizing resilience against zero-day attacks and supply chain vulnerabilities. His work frequently integrates machine learning and deep learning for enhanced security analysis and tool development.

Michael Correllمشاهده پروفایل

عضو هیئت علمی

• Data Visualization
• Data Ethics
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

Michael Correll is a Research Associate Professor at the Roux Institute, with an appointment at Khoury College of Computer Sciences, Northeastern University. His work spans data visualization, data ethics, and human-computer interaction (HCI), focusing on ethical and responsible data communication. Correll's research addresses deceptive visualization practices, uncertainty visualization, and user trust in data. His recent work examines visualization literacy, decision-making under uncertainty, and the historical evolution of data cultures in anatomical illustration. Key Themes : Ethical visualization, uncertainty communication, user-centered design, dashboard analysis Recent Trends : Studies on cognitive biases, mirages in visualizations, collaborative design heuristics He has published extensively on visualization ethics and evaluation, with a focus on empirical studies and theoretical frameworks. His career includes roles at Tableau and the University of Washington's Interactive Data Lab.

• Network Security
• Cybersecurity
• Cloud Computing Security
• +۴ مورد دیگر

Martine Bellaïche is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a B.Sc., M.Sc., and Ph.D. from Montreal, she has established herself as a leading researcher in network security and cybersecurity. She is affiliated with the Mobile Computing and Networking Research Laboratory (LARIM), where she contributes to cutting-edge research in communications systems, networks, and algorithms. Dr. Bellaïche's research spans multiple critical areas of modern cybersecurity, with particular focus on network security, prevention and detection of attacks, performance evaluation of defense systems, and defense against Denial of Service (DDoS) attacks. Her work extends to specialized domains including sensor network security, vehicular network security, cloud computing security, and Internet of Things security. Her research approach often combines theoretical foundations with practical applications, addressing real-world security challenges across various technological domains. Analysis of her recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning and federated learning approaches for intrusion detection in IoT environments. Her work increasingly addresses emerging security challenges in blockchain technology, metaverse applications, and industrial IoT systems, demonstrating adaptability to evolving technological landscapes while maintaining focus on fundamental security principles. Supervised 5 PhD students to completion, including Alfalqi (2022), Alghamdi (2022), Abusitta (2018), Halabi (2018), and Benbrahim (2016) Mentored 6 Master's students, with research spanning DDoS detection, VANET security, and graph coloring algorithms Active participant in multiple research grants, including Discovery Grants from Polytechnique Montréal Dr. Bellaïche teaches several foundational computer science courses including procedural programming, object-oriented programming, microcomputer architecture, and data structures and algorithms, bridging theoretical knowledge with practical security applications in her teaching.

Steve Schneiderمشاهده پروفایل

استاد

• Cyber Security
• Secure Electronic Voting
• Distributed Ledger Technologies
• +۳ مورد دیگر

Professor Steve Schneider is a Professor and Director of the Computer Science Research Centre at the University of Surrey, leading the Surrey Centre for Cyber Security (SCCS) and the Nature Inspired Computing and Engineering (NICE) Research Group. He has held roles including Head of the Department of Computer Science (2004-2010) and Associate Dean for Research and Innovation in the Faculty of Engineering and Physical Sciences (2015-2019). His research focuses on Secure Electronic Voting, Distributed Ledger Technologies, Rail and Automotive Security, and Formal Modeling Verification. Key projects include the Prêt à Voter system used in the 2014 Victorian State Election and work on privacy in transportation systems. Research interests span formal methods for security protocols, blockchain applications in voting and identity systems, and privacy-preserving technologies. He teaches Advanced Algorithms and supervises undergraduate and MSc projects, contributing to the university’s academic and pedagogical mission. His work bridges theoretical foundations with practical applications, emphasizing real-world implementation in critical systems like voting infrastructure and rail networks. Recent publications highlight advancements in privacy-preserving systems, formal verification of blockchain protocols, and adversarial machine learning defenses. Collaborations include the Decentralised Digital Economy (DECaDE) research center and international symposiums like ESORICS. He actively engages in policy discussions on UK cyber security strategy and the integration of formal methods into industrial systems. His contributions to cyber security education are reflected in initiatives like the Cyber Security Body of Knowledge (CyBOK), promoting standardized curricula and industry-relevant research. Current projects explore decentralized identity systems and resilient voting technologies, positioning him as a leader in both academic and applied security domains.

Michael Hitchensمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Access Control
• +۵ مورد دیگر

Michael Hitchens is an Associate Professor in the Department of Computing at Macquarie University. His research focuses on computer security, including access control, network security protocols, and trust management, alongside studies in video games, player-avatar relationships, and role-playing games. He holds a PhD in Operating Systems from the University of Newcastle (1991) and has prior experience at Western Sydney University (1991-1995, 2000) and the University of Sydney (1996-1999). Research Interests: Access Control Mechanisms Cybersecurity and Network Security Blockchain Applications in Security Player Experience and Avatars in Virtual Environments Role-Playing Game Dynamics Key Projects Include: Welcoming Trans and Gender Diverse Players (2022–2028) Cybersecurity Ethics Training Simulations (2019–2023) Trans* and Gender Diverse Players, Avatars, and Gender Performance (2019–2022) Publications span blockchain-based security frameworks, ethical decision-making in cybersecurity via serious games, and analysis of role-playing game dynamics. Collaborations involve interdisciplinary teams across computer science and psychology.

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.

Aniko Hannakمشاهده پروفایل

استادیار

• Algorithmic Auditing
• Fairness in Algorithmic Systems
• Online Labor Markets
• +۳ مورد دیگر

Prof. Aniko Hannak is an Assistant Professor in the Department of Informatics at the University of Zurich. She earned her PhD from Northeastern University under advisors Alan Mislove and David Lazer, focusing on algorithmic auditing methodologies. Her research addresses societal impacts of large online systems, including filter bubbles, price discrimination, and labor market inequalities. She pioneered Algorithmic Auditing to uncover biases in search engines, freelance platforms, and e-commerce systems. Education: PhD in Computer Science from Northeastern University (2016), BSc in Applied Math from Eötvös Lóránd University (2010). Professional Experience includes roles at CSH & WU Vienna, CEU Budapest, and GESIS Köln. Research Interests: Algorithmic Transparency, Fairness in AI, Online Labor Markets, Digital Ethics Awards include the Best Presentation Award at the 2017 European Symposium on Societal Challenges and a $113k grant from the Russel Sage Foundation. Her work has been featured in Bloomberg, MIT Tech Review, and The Wall Street Journal. Teaching includes courses on data processing, Python for data management, and digital trace data biases. She organizes conferences on fairness in AI and computational social science, and has served on program committees for ICWSM, FAT*, and WWW. Key contributions include exposing racial/gender disparities in gig economies, developing fairness frameworks for sharing platforms, and analyzing feedback loops in automated decision systems.

• Entrepreneurship
• Gender Studies
• Labor Economics
• +۶ مورد دیگر

Professor Karen Hughes holds dual appointments as a Professor in the Alberta School of Business - Department of Strategy, Entrepreneurship and Management and the Faculty of Arts - Sociology Department at the University of Alberta. She earned her PhD from the University of Cambridge and has been at the University of Alberta since 1994. Her research and teaching focus on work, organizations, labor markets, and inequality, with a particular emphasis on entrepreneurship, gender diversity, and inclusive economies. Key projects include studies on women’s entrepreneurial success in regional ecosystems, post-pandemic labor market trends, and mitigating gender/racial bias in algorithms. She leads cross-disciplinary initiatives like the BIAS: Responsible AI for Labour Market Equality project, collaborating with computer scientists and social scientists. Her work has been funded by SSHRC, Future Skills Canada, and GEM. Professor Hughes serves on the editorial boards of the International Small Business Journal and Gender in Management , and co-chairs the Diana International Research Conference. She is a Visiting Research Scholar at Babson College’s DIKI and co-authored major reports on global and Canadian women’s entrepreneurship. Her teaching includes courses on the sociology of work, gender and leadership, and organizational dynamics.

Carina Prunklمشاهده پروفایل

استادیار

• Ethics of Technology
• AI Governance
• Algorithmic Fairness
• +۴ مورد دیگر

Carina Prunkl is an Assistant Professor for Ethics of Technology at Utrecht University's Department of Philosophy and Religious Studies within the Humanities faculty. She is affiliated with the Ethics Institute and the Research Institute for Philosophy and Religious Studies . Her work focuses on AI ethics, algorithmic fairness, and governance frameworks for emerging technologies. Prunkl holds a DPhil in Philosophy from the University of Oxford and has previously worked at the Oxford Institute for Ethics in AI. Research Interests span ethics of artificial intelligence, thermodynamics philosophy, and applied data science. She emphasizes community governance models for AI and explores autonomy challenges posed by autonomous systems. Her interdisciplinary approach bridges philosophy, computer science, and policy design. Prunkl collaborates with international organizations like UNICRI, the UK Ministry of Defense, and Digital Catapult to implement responsible AI practices. Her recent work includes developing frameworks for algorithmic bias detection (LUCID project) and analyzing thermodynamic entropy interpretations in physics. Education includes BSc/MSc in Physics, MSt in Philosophy of Physics (Oxford), and a DPhil in Philosophy (Oxford).

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.

Dino Distefanoمشاهده پروفایل

استاد

• Software Verification
• Program Analysis
• Static Analysis
• +۳ مورد دیگر

Professor Dino Distefano is a Professor of Software Verification at Queen Mary University of London's School of Electronic Engineering and Computer Science. He is currently on leave at Anthropic, focusing on connections between large language models and program verification. His research centers on automatic program verification, leveraging separation logic and scalable static analysis tools like Infer, which is widely used at Meta and other tech giants. Distefano co-founded Monoidics, acquired by Facebook in 2013, and leads WhatsApp's Dev Infra Org, developing tools to enhance software reliability and security. Education: PhD from the University of Twente, Netherlands. Awards include the IEEE Cybersecurity Award (2021), ACM SIGPLAN POPL 2019 Most Influential Paper Award, and Royal Academy of Engineering Silver Medal (2014). His work spans formal methods, program analysis, and industrial-scale verification tools. Publications focus on compositional verification, dynamic/static analysis integration, and privacy-aware code analysis. He has contributed to over 50 conferences and workshops, including key roles on program committees for VMCAI, ECOOP, and CAV.

• Trustworthy Machine Learning
• Automated Machine Learning
• Data-Driven Software Engineering
• +۳ مورد دیگر

Dr. Huong Ha is a Senior Lecturer in Computer Science at RMIT University's School of Computing Technologies, located at the City Campus in Australia. Her research focuses on trustworthy machine learning, automated machine learning, and data-driven software engineering. She holds an ORCID ID (0000-0003-2463-7770) and is actively involved in supervising Masters and PhD students. Prior to her academic role, she worked as a Data Scientist at Freelancer International Pty Limited in Sydney from 2017 to 2018. Her research interests emphasize practical applications of machine learning in software systems optimization, including root cause analysis for microservices, Bayesian optimization techniques, and performance prediction for configurable software. She has published extensively in top conferences such as ICSE, AAAI, and NeurIPS, addressing challenges in high-dimensional optimization, system monitoring, and algorithmic efficiency. Current supervision projects include topics like Explainable AI in Human-Agent Planning, Fraud Detection on Blockchain networks, and High-dimensional Bayesian Optimization via Evolutionary Computation. Her work bridges theoretical advancements with real-world software engineering problems, contributing to robust and scalable solutions in AI-driven systems.