Find Academic Supervisors

• Algorithms and Complexity
• Graph Theory and Applications
• Computer Networks and Internet
• +3 more

Kavvadias Dimitris is an Assistant Professor in the Department of Mathematics at the University of Patras, specializing in Computational Mathematics and Informatics. His academic journey includes a B.Sc. in Electrical and Computer Engineering from the National Technical University of Athens (1983), M.Sc. in Computer Science from Columbia University (1984), and a Ph.D. in Computer Engineering & Informatics from the University of Patras (1989). He has been affiliated with the University of Patras since 1992, initially as a Lecturer and then as an Assistant Professor since 1997. His research focuses on Algorithms and Complexity, Graph Theory and Applications, Computer Networks, and Scientific Computing. He has contributed to numerous research projects, including studies on parallel algorithms, network reliability, and data mining. His work spans theoretical computer science and practical applications, with a strong emphasis on algorithm design and computational methods. Kavvadias has taught extensively at both undergraduate and postgraduate levels, covering courses such as Discrete Mathematics, Operating Systems, and Algorithm Analysis. He has supervised doctoral theses and diploma projects, including those of H. Staurovoulos and Angeliki Panagopoulou. His involvement in academic organizations includes roles in the ACM, EATCS, and the Hellenic Open University. His publications reflect expertise in hypergraph algorithms, transversal generation, and numerical root finding, with contributions to journals like SIAM and theoretical computer science forums. He has also participated in international conferences and served as a referee for prominent journals and events.

Jeremy BlackstoneView profile

Assistant Professor

• Behavioral Security
• Hardware Security
• Network Security
• +2 more

Jeremy Blackstone is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Howard University's College of Engineering and Architecture. He holds a PhD in Computer Science and Engineering from UC San Diego, along with bachelor's and master's degrees from Howard University. Research specializes in: Behavioral analysis of security systems Hardware-level vulnerabilities Network attack mitigation Publications demonstrate consistent focus on side-channel attacks, hardware Trojans, and IoT security. Recent work integrates economic models with security quantification and applies machine learning to intrusion detection. Earlier contributions address power analysis countermeasures and FPGA security. No information is available regarding awards, supervised students, or laboratory affiliations.

Bahram KhaliliView profile

Academic

• Software Engineering
• Agile Methodologies
• Distributed Systems and Networks
• +3 more

Bahram Khalili is a Professor of Instruction and Graduate Advisor in the Computer Science and Engineering (CSE) department at the University of Texas at Arlington. He joined UTA in 2003 after 18 years of industry experience, including roles at Fidelity Investments and Mobil Oil. His expertise spans software engineering, distributed systems, and agile methodologies. Education: PhD in Computer Science (1996, Southern Methodist University), MS in Computer Science (1991, SMU), and BS in Computer Science & Combinatorics (1984, University of Waterloo). Research focuses on software engineering pedagogy, agile methodologies, distributed systems design, and protocol development. He has contributed to federal grants like the GAANN Doctoral Fellowships in IoT and Assistive Technologies. Teaching includes courses like Advanced Topics in Software Engineering, Agile Software Development, and Fundamentals of Software Engineering. Recognized as Graduate Advisor of the Year (2017) and nominated in 2021. Service roles: Chair of PhD Admissions Committee, Graduate Curriculum Committee, and advisor for international programs like UTA/BUPT MS cohort. Publications span protocol design, testing methodologies, and distributed system frameworks.

Carlos Eduardo da SilvaView profile

Senior Lecturer

• Software Engineering
• Information Security
• Self-adaptive Systems
• +9 more

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 WongView profile

Professor

• Analysis of Algorithms
• Internet Applications
• System Testing Strategies
• +6 more

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
• +2 more

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 VlajicView profile

Associate Professor

• Network and information security
• Communication systems and network protocols
• Cybersecurity of industrial systems
• +7 more

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 SkouView profile

Associate Professor

• Model Checking
• Real-Time Systems
• Energy Engineering
• +7 more

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 AbdoView profile

Assistant Professor

• Cybersecurity
• Complex Systems
• Network Economics
• +5 more

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 IslamView profile

Associate Professor

• Cybersecurity
• Malware Analysis and Classification
• Authentication Systems
• +5 more

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 DahshanView profile

Lecturer

• Computer Networks
• Network Security
• Cloud Computing
• +4 more

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
• +12 more

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 PazahrView profile

Lecturer

• Recommender Systems
• Network Security
• Software Engineering
• +1 more

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
• +5 more

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 KimView profile

Assistant Professor

• Computer Security
• Cybersecurity
• Usable Security
• +7 more

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.