جستجوی استاد راهنمای دانشگاهی

• Health Informatics
• Healthcare Cybersecurity
• Medical Terminologies
• +۵ مورد دیگر

Stefano Bonacina is an Assistant Senior Lecturer at Karolinska Institutet's Department of Learning, Informatics, Management and Ethics (LIME). He holds a Master of Science in Electronic Engineering (2000) and a Ph.D. in Bioengineering (2004) from Politecnico di Milano, Italy. His research focuses on Health Informatics, emphasizing medical terminologies, health IT standards, cybersecurity in healthcare, and consumer health applications. He leads Sabine Koch's Health Informatics group and teaches courses like 'Computer Applications in Health Care and Biomedicine'. Research interests include harmonizing health data exchange, evaluating medical app quality, and mitigating cybersecurity risks through training and standards. Recent work explores telemedicine assessment tools, data privacy in FemTech apps, and ontology development for traditional medicine integration. Published articles address pandemic impacts on medical education, diabetes app development, and IoT-driven healthcare solutions. His work bridges theoretical frameworks with practical applications, advocating for patient-centered technologies and robust cybersecurity practices.

Mira Yunمشاهده پروفایل

دانشیار

• Wireless Networks
• Internet of Things (IoT)
• Medical Device Networking
• +۳ مورد دیگر

Mira Yun is an Associate Professor in the Department of Computer Science and Networking at Wentworth's School of Computing and Data Science since 2011. She teaches courses including Wireless Networks, Medical Device Networking, and Network Programming, while focusing on wireless communication and IoT research. 2011–Present: Associate Professor at Wentworth Taught 8+ courses spanning wireless systems to programming fundamentals Her research explores wireless communication applications in public safety, medical devices, and educational technology. Publications demonstrate interdisciplinary work combining IoT with pedagogy and safety systems. Recent publications (2019–2021) show diverse contributions across: IoT applications Wireless network optimization STEM education innovation Medical technology Emergency communication systems Acoustic data transmission Her work emphasizes hands-on learning and community engagement, particularly through projects involving undergraduate researchers and youth education initiatives.

Konstantin Beznosovمشاهده پروفایل

استاد

• Usable Security
• Distributed Systems Security
• Secure Software Engineering
• +۳ مورد دیگر

Konstantin Beznosov is a Professor at the Department of Electrical and Computer Engineering, University of British Columbia, and founder/director of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE). His work bridges usable security , distributed systems security , and privacy in smart devices . Prior to UBC, he served as a Security Architect at Hitachi Computer Products (America) and Concept Five. Research Interests : Usable security, secure software engineering, access control, and privacy in emerging technologies like smart speakers and cryptocurrency. Advising : Mentoring students in topics such as mobile security, authentication, and cybersecurity ethics. Leadership : Founded LERSSE, focusing on network security and user-centered secure system design. His recent articles explore user behavior in smartphone authentication, privacy risks in shared smart speakers, and security challenges in cryptocurrency adoption. He has contributed to standards like XACML and CORBA security specifications and co-authored books on web services and EJB security. Professor Beznosov actively collaborates with industry partners (e.g., Samsung, Symetria) and serves on editorial boards for ACM Transactions on Information and System Security (TISSEC) and the International Journal of Secure Software Engineering (IJSSE).

Lujo Bauerمشاهده پروفایل

استاد

• Computer Security
• Privacy
• Usable Security
• +۷ مورد دیگر

Lujo Bauer is a Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon University (CMU), affiliated with CyLab and the Institute for Software Research. He co-directs the Future Enterprise Security Initiative and coordinates security-related academic programs. Bauer’s research focuses on computer security, privacy, adversarial machine learning, and usable security systems. He holds a Ph.D. from Princeton University (2003) and a B.S. from Yale University (1997). Education: Ph.D., Computer Science, Princeton University, 2003 M.A., Computer Science, Princeton University, 1999 B.S., Computer Science, Yale University, 1997 Research Interests: Bauer’s work bridges theory and practice in security and privacy. He develops tools to improve password security, designs systems to counter adversarial machine learning attacks (e.g., fooling facial recognition algorithms), and studies IoT privacy risks. Recent projects include robust malware detection and privacy in smart homes. Recognition: CHI Best Paper (2017) USENIX Security Best Paper (2016) NSF grants and MURI awards Advising & Grants: Bauer mentors over 20 PhD and postdoctoral researchers. His grants include funding for AI cybersecurity and privacy-preserving technologies. Collaborations span academia and industry, addressing topics like cybersecurity for energy infrastructure and health privacy risks. Labs/Teams: Bauer’s work is part of CyLab’s security initiatives, focusing on interdisciplinary solutions for modern cybersecurity challenges.

• Ecology
• Environmental Management
• Fisheries Sciences
• +۵ مورد دیگر

Dr Ty Matthews is a Senior Lecturer at Deakin University's School of Life and Environmental Sciences, affiliated with the Centre for Marine Science. He holds a PhD and BSc from Deakin University. His research focuses on aquatic ecosystems, particularly the ecological impacts of environmental flows, climate change adaptation, and the role of drought refuges. He has led projects on river flow regimes, invasive species management, and eDNA applications for biodiversity monitoring. Matthews' work spans freshwater, estuarine, and marine systems, emphasizing practical conservation solutions. He has secured over $2 million in grants, including studies on fishery dynamics, marine pest detection, and river health assessments. He actively supervises doctoral students, with research topics ranging from eel genomics to coastal shark movements. His teaching includes undergraduate courses in ecology and marine biology, complemented by extensive supervisory roles guiding over 20 students. Key collaborations involve government agencies like Barwon Water and the Victorian Fisheries Authority.

John Liagourisمشاهده پروفایل

استادیار

• Distributed Systems
• Databases
• Secure Analytics
• +۴ مورد دیگر

Dr. John Liagouris is an Assistant Professor at Boston University's Faculty of Computing and Data Sciences, appointed since July 2022. Previously, he served as an Adjunct Assistant Professor (2020–2022) and held roles at BU’s Hariri Institute for Computing, ETH Zurich’s Systems Group, UC Berkeley’s RISELab, and the University of Hong Kong. His research focuses on distributed systems, databases, and secure analytics, with a strong emphasis on privacy-preserving technologies in cloud environments. He earned a 5-year diploma in Electrical and Computer Engineering (2008) and a PhD (2015) from the National Technical University of Athens (NTUA). His academic journey includes visiting scholar positions at UC Berkeley and the University of Hong Kong, alongside research roles at the Athena Research Center in Greece. Liagouris’s research spans cryptographic cloud analytics, streaming state management, and spatial RDF data systems. His work on frameworks like Queryshield and TVA demonstrates expertise in securing distributed data processing. Recent trends in his publications emphasize multi-party computation and latency-conscious distributed systems. His contributions to fault-tolerant systems (e.g., Lineage Stash) and incremental routing logic (DeltaPath) highlight a focus on optimizing distributed workflows. Though no formal advising records are listed, his roles suggest active involvement in training researchers in distributed computing and cybersecurity. Labs and teams associated with his work include BU’s Hariri Institute and collaborations with institutions like ETH Zurich’s Systems Group, reflecting a networked approach to academic research.

Peter DePasqualeمشاهده پروفایل

استاد

• Computer Science Education
• Pedagogical Practices
• Cloud Computing
• +۲ مورد دیگر

Peter DePasquale is an Industry Professor in the Computer Science and Engineering Department at NYU Tandon School of Engineering. With a focus on computer science education, he develops pedagogical strategies for effective programming instruction, cloud computing integration, and undergraduate research experiences. His practical approach bridges academic concepts with industry practices. Key research areas include improving source code documentation practices through pedagogical interventions, integrating cloud services like AWS into curricula, and designing effective capstone research experiences. He has created innovative educational models for teaching data structures using real-time API data and developed workshops for cloud computing adoption in academic settings. DePasquale contributes to computer science education literature through publications on code commenting effectiveness, community-based web filtering projects, and emerging technology research experiences. His teaching philosophy emphasizes practical skills and industry-relevant competencies.

Timothy Christian Lethbridgeمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Timothy Christian Lethbridge is a Professor of Software Engineering and Computer Science at the University of Ottawa, where he has held roles including Vice-Dean (Governance) and Acting Associate Dean. His research focuses on software engineering tools, model-driven development (notably the Umple project), and education. He earned his PhD in Computer Science from the University of Ottawa (1994) and earlier degrees from the University of New Brunswick. Research Interests: Complexity Reduction in Software Engineering Modeling Tools (e.g., Umple for state machines and class diagrams) Enterprise Architecture in Education Software Engineering Education Usability and Human-Computer Interaction in Software Tools Large Language Models in Assurance Cases Awards and Memberships: Fellow of the Canadian Information Processing Society (CIPS) Professional Engineer (P.Eng) Senior Member of IEEE and ACM Teaching and Students: Supervised over 30 graduate students, currently advising Abdulaziz Algablan, Aliaa Alghamdi, and Emmanuel Celestine Ayeleso. Teaches courses like Software Engineering Capstone (SEG4910/11) and Software Usability (CSI5122). Labs: Leads the CRuiSE Lab, focusing on software engineering and usability research.

Muhammad Ikramمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Privacy-Preserving Systems
• Machine Learning for Security
• +۵ مورد دیگر

Dr. Muhammad Ikram is a Senior Lecturer in Cybersecurity at Macquarie University's School of Computing, affiliated with the Information Security and Privacy (ISP) group and the Macquarie Cybersecurity Hub (MCHUB). His research focuses on privacy/security in mobile/Web platforms, leveraging machine learning for fraud detection and vulnerability analysis. He holds a PhD in Electrical Engineering from UNSW, a Master's from Ajou University, and a Bachelor's from UET Peshawar. Ikram has published 64+ works in top conferences/journals like Usenix Security, NDSS, and ACM TOPS. His notable contributions include analyzing iOS app vulnerabilities, tracking prevention mechanisms, and mobile health app privacy risks. He received the Best Paper Award at AsiaCCS 2019 and Outstanding Paper at Mobiquitous 2021. Research Interests: Mobile/Web Security, Malware Detection, Privacy-Preserving Systems Grants: Led projects on network security, telecommunications obligations, and cybersecurity hubs Media Impact: Featured in The Guardian and over 50 outlets for work on web resource loading (~11M audience reach) Service Roles: Technical Program Committee member at WWW/PETS, reviewer for CCS/PETS He previously held roles as a Postdoc at University of Michigan and Research Scientist at Data61. His work bridges academic research with real-world impact in cybersecurity policy and industry standards.

Kasun De Zoysaمشاهده پروفایل

مدرس ارشد

• Computer Security
• Cryptography
• Digital Forensics
• +۴ مورد دیگر

Dr. Kasun De Zoysa is a Senior Lecturer at the University of Colombo School of Computing (UCSC), specializing in Computer Security and Cryptography. He holds a B.Sc. (First Class Honours) in Computer Science from the University of Colombo (1993–1997) and a Ph.D. in Computer Security from Stockholm University (1999–2004). His academic roles include coordinating the M.Sc. in Information Security program and advising the Center for Digital Forensic. Research Focus: Secure multi-party transactions, public key cryptography, web security, sensor networks, digital forensics, and ICT4D. Teaching: Undergraduate courses like Programming, Information System Security; postgraduate courses including Network Security, Digital Forensics, and Mobile Application Security. Notable projects include the TikiriDB sensor network framework, mobile ATM systems for developing countries, and wildlife monitoring via infrasound. He has published extensively on sensor networks, cybersecurity, and digital forensics in venues like IEEE MASS, REALWSN, and ICTer.

Andrea Michienziمشاهده پروفایل

استادیار

• Decentralized Social Networks
• Blockchain Technology
• Metaverse
• +۳ مورد دیگر

Andrea Michienzi is an Assistant Professor in the Department of Computer Science at the University of Pisa. His research focuses on decentralized social networks, blockchain technology, and the metaverse, with an emphasis on improving privacy, security, and economic dynamics in Web3 environments. He has contributed to frameworks like AWESOME for analyzing Web3 social media and has explored challenges in NFT security, P2E gaming economies, and community management in decentralized systems. Teaching: He instructs the course Basi di dati e Laboratorio di programmazione Web within the Bachelor of Digital Humanities program, emphasizing practical coding and database applications. Research awards: He received a Best Paper Award in 2018 for work related to dynamic community detection in decentralized networks. His publications span topics like bot detection in blockchain games, wealth distribution analysis, and cryptographic protocols for secure messaging. His work integrates computer science, economics, and sociology to address scalability, trust, and ethical challenges in emerging decentralized platforms.

Giuseppe Attardiمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Web Technologies
• +۳ مورد دیگر

Giuseppe Attardi is a Professor at the Dipartimento di Informatica, Università di Pisa. His work spans Natural Language Processing (NLP), Machine Learning, and Web Technologies. He leads projects like Arianna (an Italian Web search engine) and contributes to initiatives like SerRA (University of Pisa's networking center) and GARR (Italian research network). Research interests include dependency parsing, semantic analysis, and machine learning applications in healthcare and cybersecurity. Developed tools such as ECoLisp (Common Lisp implementation), CMM (memory manager), and DeSR (dependency parser). Recipient of awards for the Arianna project, including Best of Europe by Europe Online and Beta . He teaches courses like Human Language Technologies and Natural Language Processing. Collaborates on EU-funded projects like Parseme and RIS (medical record analysis). Actively involved in academic initiatives like the MediaLab and Java Campus programs.

• Internet Security
• Public Key Infrastructure
• DNSSEC
• +۵ مورد دیگر

Taejoong (Tijay) Chung is an Associate Professor at the Computer Science Department, Virginia Tech, and Adjunct Professor at POSTECH. He previously served as Assistant Professor at RIT (2018-2020) and Postdoctoral Researcher at Northeastern University (2015-2018). Ph.D. in Computer Science and Engineering, Seoul National University (2015) His research focuses on Internet security protocols for DNS, TLS, Routing, and Email, with emphasis on Public Key Infrastructure (PKI), DNSSEC, RPKI, and Email Security. He develops scalable measurement frameworks (e.g., RoVista) and security enhancements (e.g., RevDNS, AccuRevoke) for global internet infrastructure. Recent publications (2023-2026) address RPKI validation risks , DNSSEC operational challenges , email authentication protocols , and scalable TLS monitoring . He explores post-quantum DNSSEC transitions and decentralized revocation mechanisms. Scientific awards include: NSF CAREER Award (2024) Outstanding New Assistant Professor, Virginia Tech (2024) IRTF Applied Networking Research Prize (2019) ACM CCS Best Paper Honorable Mention (2022) He mentors Ph.D. and Master’s students in cybersecurity, with former advisees securing positions at Meta, Cloudflare, and UVA. His research receives grants like the IRTF travel grant for IETF meetings (2025).

Ron C. Chiangمشاهده پروفایل

دانشیار

• Distributed Systems
• Cloud Computing
• High Performance Computer Architectures
• +۴ مورد دیگر

Ron C. Chiang is an Associate Professor at the University of St. Thomas, specializing in software engineering, distributed systems, and cloud computing. His research focuses on optimizing virtualization, resource management, and high-performance architectures. He holds a Ph.D. in Computer Engineering from George Washington University and has contributed to advancements in cloud security, I/O prefetching, and precision agriculture through machine learning. Education: Ph.D. in Computer Engineering (George Washington University). Research Interests: Distributed systems, cloud computing, virtualization systems, and data-intensive applications. He has developed innovative solutions for container placement strategies, interference-aware scheduling, and energy-efficient memory management. Awards include the Best Student Paper Finalist at SC11, a 'Best of HotPower' award, and grants from IBM and Amazon. He teaches courses on cloud computing, database systems, and infrastructure as code. His work integrates theoretical computer science with practical applications, such as sustainable farming through AI and healthcare platforms in cloud environments. Grants: IBM Academic Initiative (2015–2017), Amazon AWS Educator Credits (2015–2016). He has published extensively in journals like IEEE Transactions and at conferences including SC, ICAC, and ICPA.

Wenke Leeمشاهده پروفایل

استاد

• Network Security
• Botnet Detection
• Malware Analysis
• +۷ مورد دیگر

Wenke Lee is the USG Regents Professor and John P. Imlay Jr. Chair in Software at Georgia Tech's College of Computing, where he has been a professor since 2001. He currently serves as Executive Director of the Institute for Information Security & Privacy (IISP), leading Georgia Tech's global cybersecurity initiatives. His academic roles also include leadership in the Georgia Tech Information Security Center (GTISC) from 2012 to 2015. Dr. Lee holds a Ph.D. in Computer Science from Columbia University (1999). His research focuses on systems and network security, including botnet detection, malware analysis, and secure software development. Notable contributions include co-founding Damballa, Inc. (2006), a cybersecurity firm targeting botnet mitigation. His research interests span anomaly detection, adversarial machine learning, and privacy-preserving technologies. Recent work emphasizes AI-driven security solutions, IoT protection, and cyber-physical system resilience. Lee’s projects are funded by NSF, DHS, DoD, and industry partners. Key awards include the USG Regents Professorship and the John P. Imlay Jr. Chair. He has authored over 100 publications, with many highly cited in cybersecurity domains. His affiliations include the School of Cybersecurity and Privacy, CERCS, and the Online Master of Science in Computer Science (OMSCS) program.