جست‌وجوی استاد و پژوهشگر

Carlos Eduardo da Silvaمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Information Security
• Self-adaptive Systems
• +۹ مورد دیگر

Dr. Carlos Eduardo da Silva is a Senior Lecturer in Software Engineering at the School of Computing and Digital Technologies, Sheffield Hallam University (UK), and leads the Applied Software Engineering Research Group (ASERG). His research focuses on Software Engineering's intersection with Information Security, emphasizing self-adaptive systems, AI planning, service-orientation, and secure-by-design methodologies. He has led projects in smart cities, IoT applications, and cloud computing, including consultancy for SMEs in the Sheffield City Region through the Digital Innovation for Growth (DIfG) programme. Education: PhD in Computer Science (University of Kent, 2011), MSc in Systems & Computing (Federal University of Rio Grande do Norte, 2007), BSc in Computer Science (Federal University of Rio Grande do Norte, 2005). Research Interests: Self-adaptive systems, business process engineering, digital identity management, insider threat detection, and secure software development. Current work includes AI-driven drug discovery, IoT-based fraud detection systems, and process mining for business process visualization. Teaching: Teaches modules like Secure Software Engineering, Software Architecture, and Professional Software Projects across undergraduate and postgraduate programs in Computer Science and Software Engineering. Supervises final-year projects and apprenticeship programs. Professional Activities: Member of RNP's Identity Management Technical Committee and Brazilian Computer Society's Security SIG. Former General Chair of SBSeg 2018 and reviewer for journals like Systems and Software and conferences like WBCI. Key Projects: Led ASERG's Knowledge Transfer Partnership (KTP) with Cafeology for coffee roasting process systems. Developed a data space infrastructure for the Landscape Laboratory initiative, supporting interdisciplinary environmental research.

James Wongمشاهده پروفایل

استاد

• Analysis of Algorithms
• Internet Applications
• System Testing Strategies
• +۶ مورد دیگر

James Wong is a Professor in the Department of Computer Science at San Francisco State University. He holds a Ph.D. in Computer Science from The University of Texas at Dallas (1990), an M.S. from Southwest Texas State University (1986), and a B.S. from the University of Toronto (1984). His research interests include Analysis of Algorithms, Internet Applications, System Testing Strategies, Scheduling Algorithms, Software System Testing, Web/Mobile Applications, Performance Analysis, and Computer-Aided Education. He has advised over 50 graduate students, overseeing projects ranging from mobile applications like iTutor and Tudou to system management tools like Waitless and EasyPool. His publications span topics like wireless sensor network localization, parallel computing heuristics, and scheduling theory. Notable work includes dynamic path planning for mobile beacons (2016), reconfigurable 3D free space optimization (2013), and foundational studies on message routing complexity (1998). His research bridges theoretical algorithm design with practical system implementation. Dr. Wong has taught courses such as Data Structures and Analysis of Algorithms, demonstrating commitment to both education and cutting-edge research. His contributions span academic leadership, software development methodologies, and innovative educational tools.

• Visual Culture
• Digital Media
• Contemporary Art
• +۲ مورد دیگر

Dr. hab. Konrad Chmielecki is an Associate Professor in the Division of Culture and Media Studies at the University of Bialystok's Faculty of Cultural Studies. His research focuses on the transformations of visual culture in digital media environments, contemporary visual identity formation, and the intersection of biopolitics with visual representation. His scholarly work critically examines how digital technologies reshape visual communication and cultural expression, with particular emphasis on selfie culture, ocularcentrism, and post-9/11 visual politics. Recent publications investigate the anthropology of digital visuality, the performative aspects of net art, and transcultural representations. Dr. Chmielecki's research consistently engages with contemporary challenges in visual culture, including the social implications of algorithmic vision, biopolitical imagery in urban spaces, and new methodological approaches to visual analysis in the digital age.

Natalija Vlajicمشاهده پروفایل

دانشیار

• Network and information security
• Communication systems and network protocols
• Cybersecurity of industrial systems
• +۷ مورد دیگر

Natalija Vlajic is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. She holds a PhD in Electrical Engineering from the University of Ottawa and an M.Sc. in Electrical and Computer Engineering from the University of Manitoba. Dr. Vlajic is a highly accomplished researcher with over 80 publications in international conferences and journals, specializing in cybersecurity with a focus on industrial control systems. Her primary research interests include network and information security, communication systems and network protocols, cybersecurity of industrial systems, machine learning applications in security, and system performance evaluation. She has made significant contributions to the understanding of security risk management, bot and DDoS attacks, user privacy, IoT security, and sensor networks. Her work bridges theoretical security concepts with practical applications in critical infrastructure protection. Dr. Vlajic's recent publications demonstrate a strong focus on Industrial Control Systems security, particularly addressing vulnerabilities through innovative approaches like risk-based cryptoperiod optimization, attack tree modeling using MITRE ATT&CK framework, and advanced bot detection techniques. Her research combines traditional security methodologies with machine learning and data analytics to develop more robust protection mechanisms for critical infrastructure. NSERC University Faculty Award Faculty-Wide Excellence in Teaching Award Departmental Mildred Baptist Teaching Award Best Poster Award at ACM/IEEE ICCPS (2023) Best Paper Award at HoTSoS (2018) Dr. Vlajic actively mentors graduate students including Gabriele Cianfarani, Melina Najimi, Stefan Petrovic, Shadi Sadeghpour, Daniel Brown, and Jazdeep Sarai. Her research group has received significant recognition, with students presenting at major conferences like GradCon hosted by Waterloo's Cybersecurity and Privacy Institute. She serves as a co-editor for the IEEE Communications Magazine special issue on Security of Communication Protocols in Industrial Control Systems. Her research is conducted through the Security Research at York (SecRAY) initiative, focusing on practical security solutions for industrial systems, web applications, and IoT environments. The group maintains strong industry connections and collaborates on real-world security challenges, particularly in the domain of critical infrastructure protection.

Arne Skouمشاهده پروفایل

دانشیار

• Model Checking
• Real-Time Systems
• Energy Engineering
• +۷ مورد دیگر

Arne Skou is an Associate Professor in the Department of Computer Science at Aalborg University, affiliated with the Technical Faculty of IT and Design and the CISS - Center for Embedded Software Systems. His research focuses on model checking, real-time systems, energy engineering, and smart home automation. He has contributed to projects like domOS (operating systems for smart buildings), FEVER (virtual power plants), and FED (Flexible Energy Denmark). Skou’s work integrates formal methods with practical applications in embedded systems and energy flexibility. He has authored over 79 publications, including studies on machine learning for thermal dynamics and probabilistic energy forecasting in heat pumps. His research emphasizes interoperability frameworks like Arrowhead and schedulability analysis using tools such as UPPAAL. Skou has been involved in EU-funded initiatives addressing smart grids, energy optimization, and industrial IoT. His projects span from 1996 to 2023, with a focus on real-time systems, component contracts, and energy management. His contributions include middleware solutions for home automation (HomePort) and compositional analysis of hierarchical scheduling systems. Skou’s publications reflect a blend of theoretical computer science and applied engineering, particularly in embedded systems and energy systems. Key Projects: domOS, FEVER, FED, MANTIS (cyber-physical maintenance systems) Labs/Teams: CISS - Center for Embedded Software Systems Tools Developed: UPPAAL-based frameworks for schedulability analysis and model checking

Jacques Bou Abdoمشاهده پروفایل

استادیار

• Cybersecurity
• Complex Systems
• Network Economics
• +۵ مورد دیگر

Jacques Bou Abdo is an Assistant Professor at the University of Cincinnati's School of Information Technology, specializing in interdisciplinary research spanning cybersecurity, complex systems, and network economics. His work focuses on cyber deterrence, information warfare dynamics, and resilient network architectures. He holds a dual PhD in Management Sciences (Paris-Saclay University, 2021) and Computer Science (Sorbonne University, 2014), alongside advanced engineering degrees from Lebanese and French universities. Education includes a PhD in Management Sciences (2021, Paris-Saclay), PhD in Computer Science (2014, Sorbonne), and engineering degrees from Saint Joseph University and Lebanese University. Professional experience includes roles at Notre Dame University (NTT Assistant Professor), University of Nebraska, and visiting positions at institutions like Northern Arizona University and ITMO University. Research interests emphasize cybersecurity frameworks, blockchain applications, and computational models for strategic defense. Key themes include anomaly detection in data streams, IoT security, and ethical AI integration. Recent publications explore federated learning for IoT, AI governance, and modular robotics communication. Notable awards include the Fulbright Visiting Scholar Fellowship (2018). Grant roles include Co-PI for a National Strategic Research Institute project on nuclear deterrence theory (2022–2023). His work bridges theoretical models with practical applications in cyber resilience and strategic systems.

Rafiqul Islamمشاهده پروفایل

دانشیار

• Cybersecurity
• Malware Analysis and Classification
• Authentication Systems
• +۵ مورد دیگر

Dr. Rafiqul Islam is an Associate Professor in the Department of Computing at Charles Sturt University's School of Computing, Mathematics & Engineering, within the Faculty of Business, Justice and Behavioural Sciences. He specializes in Cybersecurity with a focus on malware analysis, authentication systems, cloud security, IoT security, and privacy in digital environments. He leads the Cybersecurity Research Group and has been recognized nationally/internationally with awards like the 2021 Cyber Security Researcher of the Year Award from AISA. His research has attracted over $7M in external grants, including a $68M Cybersecurity CRC project. Education: PhD (Network Security), MSc (Research), BSc (Hons), PGDip (Learning & Teaching) Leadership: Director of the Cybersecurity Research Team at CSU Publications: Over 200 peer-reviewed articles, emphasizing AI-driven cybersecurity solutions for IoT, cloud, and industrial systems Research interests span adversarial machine learning, ransomware detection, secure agri-food supply chains, and medical data privacy. His work bridges theoretical advancements with real-world applications, such as resilient IoT configurations and threat intelligence frameworks for smart agriculture. Recent articles focus on AI-enhanced cybersecurity for IoT, malware classification systems, and blockchain-based healthcare data protection. He actively collaborates on projects addressing cybersecurity challenges in distributed networks and emerging technologies. Awards: Professional Excellence, Research Excellence, Leadership Award (CSU), Cyber Security CRC contributions Grants: $7M+ secured as Co-PI in collaborative projects His lab focuses on interdisciplinary research, integrating AI, data science, and cybersecurity to address modern digital challenges.

Mostafa Dahshanمشاهده پروفایل

مدرس

• Computer Networks
• Network Security
• Cloud Computing
• +۴ مورد دیگر

Dr. Mostafa Dahshan is a Lecturer in Computing at Charles Sturt University (Bathurst campus), affiliated with the School of Computing, Mathematics and Engineering. He holds a PhD in Electrical & Computer Engineering from the University of Oklahoma, USA, and has prior roles as an Associate Professor at King Saud University (2007-2018). His research focuses on computer networks, cybersecurity, cloud computing, and machine learning applications in healthcare and materials science. He is a Senior Member of IEEE and a Certified Professional of the Australian Computer Society. Education: PhD (Electrical & Computer Engineering), University of Oklahoma, USA (2006) MSc (Telecom Systems), University of Oklahoma, USA (2002) BSc (Computer Engineering), Cairo University, Egypt (1999) Research Interests: Network security, IoT protocols, machine learning for medical imaging, and optimization of optical networks. His work bridges theoretical computer science with practical applications in education technology and industrial engineering. Key Contributions: Published over 20 peer-reviewed articles on topics like wireless sensor network authentication, lung cancer detection via machine learning, and heat transfer in curved geometries. His interdisciplinary approach integrates data science with engineering challenges. Awards: Senior Member (IEEE), 2018 Certified Professional (ACS), 2023 Teaching & Advising: Developed courses in programming, cloud computing, and web technologies. Advised multiple theses and capstone projects at King Saud University. Active in curriculum design for technology-enhanced learning. Labs/Teams: Member of the Data Science and Engineering Research Unit at Charles Sturt University, contributing to interdisciplinary projects in applied computing.

• Human-Computer Interaction
• Accessibility
• Assistive Technologies
• +۱۲ مورد دیگر

Benjamin Gorman is a Lecturer at Bournemouth University's Department of Computing and Informatics, where he serves as Deputy Head of Department and Programme Leader for MSc Digital Health and MSc Internet of Things. He co-leads the Bournemouth University Computer Human Interaction (BUCHI) research group and actively contributes to accessibility-focused research in Human-Computer Interaction (HCI). PhD in Computer Science (Human-Computer Interaction) from the University of Dundee (2018) BSc (Hons) in Applied Computing from the University of Dundee (2012) His research focuses on accessibility and assistive technologies, particularly through metadata-driven media adaptation, generative AI applicability for disabled users, and inclusive FinTech design. He emphasizes collaboration with SMEs and community stakeholders through knowledge transfer partnerships. Recent publications highlight his work on emoji accessibility for visually impaired users, adaptive subtitles, and crypto technology inclusivity. These align with UN Sustainable Development Goals related to quality education, industry innovation, and good health. Exceptional Reviewer Recognition in SIGCHI venues As an educator, he leads postgraduate and undergraduate units in accessibility, user-centered web development, and ubiquitous computing. He also contributes to ACM SIGCHI as an Associate Chair and Program Committee member.

Ali Pazahrمشاهده پروفایل

مدرس

• Recommender Systems
• Network Security
• Software Engineering
• +۱ مورد دیگر

Ali Pazahr is Lecturer in Electrical and Computer Engineering at Memorial University, with 20+ years in academia and software development. He holds a PhD in IT (Recommender Systems) from University of Valencia. Research integrates semantic technologies with hybrid recommender systems for social networks. Developed security frameworks including a patented authentication model. Industry experience includes full-stack development for healthcare and agricultural platforms. Editorial roles include Journal of Medical Internet Research and Novel Computer Science Journal. Supervised 26 master's theses and teaches software engineering principles.

• Distributed Systems
• Cloud Computing
• Blockchain Technology
• +۵ مورد دیگر

Roussopoulos Mema is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Their research focuses on distributed systems, blockchain technology, peer-to-peer networks, and data preservation. They have contributed to advancements in decentralized storage systems, privacy-preserving voting mechanisms, and efficient resource management in cloud environments. Education and employment details are not explicitly listed in the provided text, but their extensive publication record indicates a long-standing academic and research career. Key research interests include distributed consensus algorithms, secure peer-to-peer architectures, and the integration of blockchain with traditional systems. Recent publications highlight work on interactive consistency in distributed systems (2021), decentralized social connectivity services (2020), and privacy-preserving internet voting systems (2019). Their research spans both theoretical frameworks and practical implementations, addressing challenges in scalability, security, and reliability. No scientific awards are explicitly mentioned in the text. Advising and grants details are not provided, but their extensive list of articles indicates active collaboration and funding in their field. They are affiliated with the Computer Systems and Applications division at the university, reflecting their focus on applied computer science and networking.

Doowon Kimمشاهده پروفایل

استادیار

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

Doowon Kim is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Computer Science from the University of Maryland, College Park (2020) and has held academic positions including research internships at Symantec Research Labs and Korea Electronics Technology Institute. Education: PhD, Computer Science, University of Maryland (2020) MS, Computer Science, University of Utah (2013) B.E., Computer Science and Engineering, Hankuk University of Foreign Studies (2011) Research Interests: Computer Security: Data-driven security, usable security, phishing analysis, and PKI abuse. Network Security: Internet measurement, TLS protocols, and threat intelligence sharing. Web Security: Client-side vulnerabilities, phishing kits, and anti-Asian racism in social media. AI in Security: Adversarial attacks on code generation models and poisoned AI suggestions. Recent Trends in Publications: Focus areas include phishing detection mechanisms, AI-driven code exploitation, and PKI security. Recent work explores visual similarity-based phishing detection, backdoor attacks on code completion models, and longitudinal studies of client-side vulnerabilities. Awards: NSA Best Scientific Cybersecurity Paper (2017) Ann G. Wylie Dissertation Fellowship (2019) Best Student Paper at WISA 2022 Advising & Grants: Advises 14+ graduate/undergraduate students (e.g., Kyungchan Lim, Fujiao Ji). Secured travel grants for students at Web Conf and NDSS. Recipient of NSF proposal review panelist roles. Labs & Teams: Actively leads research in cybersecurity with a focus on phishing, PKI, and AI ethics. Collaborates with global institutions like KAIST and Samsung Research.

Drew Davidsonمشاهده پروفایل

دانشیار

• Security
• Privacy
• Mobile Security
• +۶ مورد دیگر

Drew Davidson serves as Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas, where he joined the faculty in August 2018 as Assistant Professor. His research program centers on computer security and privacy, with current projects focused on automatic security policy generation for web applications and privilege separation architectures for modern server environments. Davidson maintains active industry engagement through co-founding Tala Security, a security startup addressing DevOps security challenges. Davidson completed his PhD in December 2016 with dissertation research titled "Enhancing Mobile Security through App Splitting" under advisor Somesh Jha. His doctoral committee included Thomas Reps, Aws Albarghouthi, Mihai Christodorescu, and Xinyu Zhang. This foundational work established his expertise in mobile security mechanisms and application isolation techniques. His research spans critical security domains including mobile platform security, web application vulnerabilities, UAV sensor spoofing, and software ecosystem risks. Davidson's work bridges theoretical security models with practical system implementations, particularly in containerization, microservice architectures, and package manager ecosystems. He has made significant contributions to understanding language-based software security issues and developing deployable countermeasures against supply chain attacks. Analysis of his recent publications reveals concentrated focus on emerging threats in modern software development practices. His 2020-2024 work demonstrates deep investigation into npm package vulnerabilities (typosquatting, package confusion, install-time attacks), microservice security challenges (service mesh vulnerabilities, multi-hop network enforcement), and practical UAV defense mechanisms. This research trajectory shows consistent evolution from mobile security foundations toward contemporary cloud-native and software supply chain security challenges. Scientific recognition includes: NSF SBIR Phase I award (2017) for Tala Security's "Automated Security for the DevOps World" proposal Davidson contributes to academic training through courses including EECS 665 (Compiler Construction) and EECS 700 (Mobile Security). His research program integrates teaching with practical security solutions development, evidenced by student-involved projects in mobile security and compiler techniques. The NSF-funded Tala Security initiative represents significant industry-academia technology transfer. As co-founder of Tala Security, Davidson leads research translating academic insights into commercial security products. The startup focuses on automated security policy generation for DevOps environments, building directly on his publication record in application splitting and container security. Current work explores scan-impeding delays for web deployments and multi-hop network connection enforcement in microservice architectures.

Guy Leducمشاهده پروفایل

استاد

• Computer Networks
• Traffic Engineering
• Internet Coordinate Systems
• +۷ مورد دیگر

Guy Leduc is a Full Professor in the Electrical Engineering and Computer Science Department of the University of Liège, where he has served as head of the Research Unit in Networking (RUN) since 1997. He also holds a part-time professorship at the University of Brussels (ULB) since 1994. His academic career spans over three decades with significant contributions to computer networking research and leadership in international academic organizations. University of Liège faculty member since 1983 Head of Research Unit in Networking (RUN) since 1997 Part-time professor at ULB since 1994 Former chairman of IFIP TC6 (2007-2012) Associate editor of IEEE Transactions on Network and Service Management Leduc received his electrical engineering degree summa cum laude in 1983 and his doctorate in computer science in 1991, both from the University of Liège. From 1983 to 1997, he was a researcher at FNRS (Belgian Fund for Scientific Research) and is now an Honorary FNRS Senior Research Associate. His career demonstrates a consistent progression from researcher to leadership positions in academic networking research. His research spans multiple domains within computer networking, with particular expertise in traffic engineering, Internet Coordinate Systems, overlays and peer-to-peer networks, mobile ad hoc networks, multimedia networking, congestion control, and autonomic/active/programmable networks. Earlier in his career, he made significant contributions to formal methods for network protocol design and verification, particularly with the ISO E-LOTOS language. His work bridges theoretical foundations with practical implementations, as evidenced by his involvement in numerous European research projects including mPlane, ANA, ECODE, and ResumeNet. Leduc's publication record shows consistent output through 2016, with recent work focusing on network measurement, machine learning applications for network security, and decentralized network algorithms. His research demonstrates an evolution from formal methods to contemporary networking challenges while maintaining a strong theoretical foundation. Bell Telephone Prize (1985) SWIFT Prize (1989) IBM-Belgium Prize (1991) Siemens Prize (1995) Best Paper Award at IFIP Networking 2006 Best Paper Award at IFIP Networking 2010 As head of RUN, Leduc has secured funding for numerous European projects including TOTEM, MOTION, and E-NEXT. His leadership extends to editorial positions with major journals and conference organization roles. The research unit he leads maintains strong industry connections while pursuing fundamental research questions in networking. His work on network measurement and security continues to be influential in both academic and practical networking contexts. The Research Unit in Networking (RUN) under Leduc's leadership has developed significant expertise in network measurement, traffic engineering, and autonomic networking. The group maintains strong connections with European research initiatives and has contributed to several open-source networking tools, most notably the TOTEM traffic engineering toolbox. RUN's research approach combines theoretical rigor with practical implementation, addressing both fundamental networking challenges and emerging application requirements.

• Software Engineering
• Software Evolution
• Knowledge Modeling
• +۷ مورد دیگر

Dr. Juergen Rilling is a Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on global software analytics, software traceability, knowledge modeling, and security vulnerabilities, with a strong emphasis on semantic web technologies. He leads projects in software evolution, mining software repositories, and integrating crowd-based data into development practices. His work bridges software engineering theory with practical tools like SeClone and SeByte, enhancing code analysis, dependency management, and security practices. Research interests include semantic modeling for security advisories, feature location via crowd-based screencasts, and API trustworthiness assessment. He has contributed to frameworks like SE-EQUAM for software quality metamodeling and Sv-AF for vulnerability analysis. His recent work explores machine learning applications in software ecosystems and developer behavior analysis through platforms like Stack Overflow. Publications span over two decades, with a focus on scalable clone detection, ontological approaches for traceability recovery, and integrating financial pattern analysis for software quality prediction. His tools and methodologies are applied in open-source ecosystems and industrial software maintenance contexts.