جستجوی استاد راهنمای دانشگاهی

Ivan Martinovicمشاهده پروفایل

استاد

• Cyber-Physical Systems Security
• Wireless Network Security
• Authentication Systems
• +۳ مورد دیگر

Prof. Ivan Martinovic is a Professor of Computer Science at the University of Oxford's Department of Computer Science, holding a Fellowship at the institution. He specializes in cyber-physical systems security, wireless network security, and behavioral biometrics. His research focuses on authentication mechanisms, intrusion detection, and trade-offs between security and performance in systems like satellite communications, EV charging infrastructure, and aviation networks. Education: PhD (TU Kaiserslautern); MSc (TU Darmstadt, Germany). Prior roles include postdoctoral research at UC Berkeley (2011) and UC Irvine (2009–2010), supported by a Carl-Zeiss Foundation Fellowship (2009–2011). He has also been an associate lecturer at TU Kaiserslautern. Research Interests: Cyber-physical systems security, wireless networks, behavioral biometrics (e.g., continuous authentication via physiological signals), robust communication protocols, and analysis of security vs. performance trade-offs in distributed systems. Technologies include software-defined radios, NFC/RFIDs, and EEG/eye-tracking devices. Scientific Awards: Carl-Zeiss Foundation Fellowship (2009–2011). Advising & Grants: No explicit student listings; however, his work involves interdisciplinary collaborations and has been funded by government and industrial grants. His research spans labs and teams focused on satellite cybersecurity, smart infrastructure security, and biometric systems. Labs/Teams: Engages with groups exploring satellite communication security, EV charging infrastructure vulnerabilities, and behavioral authentication systems, though specific lab names are not disclosed in the text.

Nicola Dragoniمشاهده پروفایل

استاد

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۷ مورد دیگر

Nicola Dragoni is a Professor in Cybersecurity Engineering at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). As Deputy Director and Head of Section, he leads research initiatives focused on securing emerging technologies. Key Research Areas : Internet of Things (IoT) security, machine learning for intrusion detection, cyber-deception techniques, fog computing, malware analysis, blockchain applications, and wireless sensor network security. Supervision : Actively supervising multiple PhD students in projects related to cyber-deception, moving target defense, and bio-inspired security mechanisms. Recent Publications : Contributions to IoT honeypots, drone identification via RF signals, passkey adoption challenges, and cyber range taxonomies.

Stavros Shiaelesمشاهده پروفایل

دانشیار

• Cyber Security
• Malware Analysis
• Anomaly Detection
• +۱۳ مورد دیگر

Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

David S. Wallمشاهده پروفایل

استاد

• Criminology
• Cybercrime
• Cybersecurity
• +۷ مورد دیگر

Professor David S. Wall is a Chair in Criminology at the University of Leeds' School of Law, affiliated with the Centre for Criminal Justice Studies. His expertise spans cybercrime, cybersecurity, policing, and organized crime. He holds academic leadership roles, including former Headships of the School of Law (2005-2007) and Durham University's School of Applied Social Sciences (2011-2014). Educated at the University of Leeds (PhD, 1999), he has authored over 50 articles and 12 books, with interdisciplinary research funded by EU FP6/FP7, ESRC, EPSRC, and others. Key research projects include CRITiCal (combatting cybercrime in the cloud), EMPHASIS (ransomware impacts), and SYNYO (organised crime and terrorism networks). He advises governmental bodies like the Home Office Cybercrime Working Group and the UNODC. Awards include FAcSS, FRSA, and a Turing Fellowship (2018-2021). His work explores cybercrime's societal impacts, data governance, and AI applications. Recent focus areas include ransomware trends, transnational cybercrime, and cybersecurity data-sharing frameworks. Supervision of PhD students and interdisciplinary collaboration are central to his academic contributions.

Masood Mansooriمشاهده پروفایل

مدرس

• Intrusion Detection
• Deception Systems
• Honeypots
• +۵ مورد دیگر

Dr. Masood Mansoori is a Lecturer at the School of Professional Studies , UNSW Canberra . He holds a PhD in Engineering from Victoria University of Wellington, New Zealand (2017), a Master of Computer Science from University Malaya, Malaysia (2010), and a Bachelor of Computer Science & IT from Eastern Mediterranean University, Cyprus (2005). PhD: Engineering, Victoria University of Wellington (2017) MSc: Computer Science, University Malaya (2010) BSc: Computer Science & IT, Eastern Mediterranean University (2005) Masood's research focuses on intrusion detection , deception systems , and honeypots . He designed YALIH and miniC , two client honeypots, and contributed to open-source projects like Cowrie Honeypot . His work spans browser-based geolocation attacks , IoT security , and malicious web behavior analysis . Recent publications include studies on advanced persistent threats using genetic programming (2024), ransomware classification via particle swarm optimization (2022), and IoT attack clustering with autoencoders (2022). His research integrates machine learning and security analytics to address evolving cyber threats. Scientific Awards : Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2014 Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2013 Victoria University of Wellington Scholarship, 2013 CORE Scholarship, 2015 Masood has extensive experience in curriculum design , course coordination , and teaching cybersecurity , digital forensics, risk management, and network security. He currently works at D236, UNSW Canberra, Reid Campus .

Jean Muhammadمشاهده پروفایل

دانشیار

• Software Engineering
• Computer Science Education
• Cyber Security Education
• +۲ مورد دیگر

Jean Muhammad serves as Chair and Associate Professor in the Department of Computer Science at Hampton University's School of Science, specializing in software engineering, cybersecurity education, and leadership management. Her academic journey spans Florida State University (Ph.D., 2005), Illinois Institute of Technology (M.S., 1991), and Chicago State University (B.S., 1984), complemented by industry roles at AT&T Bell Labs and Nokia. Howard University: Business Administration (1968-1970) District of Columbia Teachers College: Business Education (1973-1975) Chicago State University: Computer Science B.S. (1984) Illinois Institute of Technology: Computer Science M.S. (1991) Florida State University: Computer Science M.S. (1999) Florida State University: Computer Science Ph.D. (2005) Her research bridges software engineering pedagogy with practical cybersecurity applications, focusing on risk management frameworks and inclusive technology education. Key initiatives include developing curricula for underrepresented students and analyzing ethical implications of autonomous systems through interdisciplinary collaborations. Recent publications reveal strong trends in applied AI ethics (autonomous vehicles), healthcare technology integration, and cybersecurity awareness across demographics. Her work consistently addresses societal impacts of technology, with 70% of recent publications involving student co-authors in undergraduate research symposia. NPSC Fellowship Award (1996) As primary advisor for 15+ undergraduate/graduate researchers, she has secured $8.4M in grants including NSF S-STEM scholarships ($622K), ONR cybersecurity training ($250K), and Amazon Robotics funding ($500K). Her leadership extends to the HU GETS-IA CyberCorps program and Apple/HBCU C2 partnerships. She co-advises the CyberCorps Scholarship for Service cohort and leads the Chair's Graduate School Club, fostering industry placements through partnerships with Lockheed Martin, IBM, and Deloitte while directing Hampton's cybersecurity research infrastructure.

Roxana Raduمشاهده پروفایل

دانشیار

• Internet Governance
• AI Governance
• Cybersecurity Policy
• +۳ مورد دیگر

Roxana Radu is an Associate Professor of Digital Technologies and Public Policy at the University of Oxford’s Blavatnik School of Government and a Hugh Price Fellow at Jesus College. Her research focuses on the governance of digital technologies, internet policy, and AI ethics. She holds a PhD (summa cum laude) in International Relations from the Graduate Institute of International and Development Studies (Geneva) and an MA (honours) in Political Science from the Central European University. Radu advises governments and international organizations on digital governance, including serving on the EU Cybersecurity Agency’s Advisory Group. Her work emphasizes challenges in global internet governance, cybersecurity, and the societal impacts of AI. Education: PhD in International Relations, Graduate Institute of International and Development Studies (2016) MA in Political Science, Central European University (2010) BA in Political Science, University of Bucharest (2008) Research Interests: Radu’s work spans governance of emerging technologies, cybersecurity policy, and the intersection of digital innovation with public policy. Key themes include EU strategic autonomy in tech, AI regulation, and disinformation countermeasures. Recent analyses include the impact of platforms like TikTok on democratic processes and the evolving norms in global internet governance. Awards: 2017 Best Thesis in International Studies, Swiss Network for International Studies Best Master Thesis award, Central European University Recent Articles: Radu’s publications emphasize systemic risks in digital governance, including DNS security, AI ethics, and EU cybersecurity frameworks. Her 2024 analysis of Romania’s election highlighted platform accountability gaps in democratic processes. Advisory Roles & Grants: Radu advises the EU Cybersecurity Agency and chairs the Global Internet Governance Academic Network (GigaNet). Her work often intersects with policy implementation, including contributions to the EU’s AI Act and Digital Services Act. Labs/Teams: She is affiliated with the Oxford Programme for Cyber and Technology Policy, focusing on ransomware and active cyber defense strategies.

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

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

Wayne Chris Henryمشاهده پروفایل

استادیار

• Cybersecurity
• Offensive Cybersecurity
• Software Reverse Engineering
• +۷ مورد دیگر

Lt Col Wayne Chris Henry is an Assistant Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. He is actively engaged in teaching, research, and leadership in cybersecurity, particularly in space systems and offensive cyber operations. Education: Ph.D., Electrical Engineering, Air Force Institute of Technology, 2020 M.S., Computer Engineering, Air Force Institute of Technology, 2011 B.S., Computer Engineering, Pennsylvania State University, 2004 His research focuses on cutting-edge cybersecurity challenges, including software reverse engineering, vulnerability analysis, IoT/embedded security, and human-machine teaming. He emphasizes practical applications in military and space contexts, aiming to strengthen cyber resilience in critical infrastructure. The most recent articles show a strong trend in space system cybersecurity, secure data distribution (DDS-Cerberus), satellite intrusion detection, and offensive cyber techniques like ROP attacks and script smuggling. His work bridges theoretical analysis with operational defense strategies. Scientific Awards: 2023 Field Grade Officer of the Year - Air University 2023 Graduate School of Engineering Management Dean's Distinguished Professor Award 2022 Field Grade Officer of the Quarter - AFIT 2019 Inducted into Tau Beta Pi (Top 20% students) 2019 Inducted into Eta Kappa Nu (Top 33% students) He mentors numerous students and researchers, particularly through collaborative publications and leadership in AFIT's first Capture the Flag team. While specific grants are not listed, his extensive publication record in defense and cybersecurity suggests active involvement in funded research projects. He is also deeply involved in cybersecurity education and curriculum development for military professionals. Dr. Henry leads and contributes to research teams focused on space cybersecurity, software analysis, and cyber education. His lab work includes developing testbeds for satellite security, designing intrusion detection scenarios, and analyzing cyber threats in RF SATCOM and embedded environments.

Joobeom Yunمشاهده پروفایل

دانشیار

• Software Security
• Network Security
• Digital Forensics
• +۱ مورد دیگر

Joobeom Yun serves as Associate Professor in the Department of Computer and Information Security at Sejong University since 2015, concurrently holding a Board Member position at the Korea Institute of Information Security and Cryptology (KIISC) since 2016. Previously, he was Senior Researcher at the National Security Research Institute from 2001 to 2015, establishing a career bridge between government security research and academic instruction. His academic credentials include: Ph.D. from KAIST (2012) M.S. from Seoul National University (2001) B.S. from Korea University (1999) Professor Yun's research program centers on Software Security, Network Security, Digital Forensics, and Cloud Security, with particular emphasis on automatic exploit generation through fuzzing/concolic execution, secure cloud data deduplication, and ransomware-resistant backup systems. His fingerprint analysis reveals deep expertise in fuzzing (100%), deduplication (73%), software vulnerability (51%), and IoT security (45%), demonstrating both breadth and specialization in critical cybersecurity domains. Recent publications (2023-2024) exhibit a pronounced shift toward AI-integrated security solutions, with 80% of his latest works addressing deepfake detection, adversarial attacks on speech recognition, and AI-enhanced digital forensics. Simultaneously, his IoT security research maintains strong continuity through firmware fuzzing frameworks and multi-architecture emulation techniques, reflecting dual-track innovation in both emerging AI threats and persistent embedded system vulnerabilities. No scientific awards were documented in the provided materials. While specific grant details remain undisclosed, his research trajectory suggests sustained funding for cloud security infrastructure projects and IoT vulnerability assessment tools, particularly through his KIISC board affiliation which facilitates national cybersecurity research coordination. No student advisement information was publicly listed. As KIISC Board Member, Yun actively shapes South Korea's national cybersecurity research agenda while leading a specialized lab at Sejong University focused on practical security implementations for cloud environments, IoT ecosystems, and digital forensic workflows. His team's recent output indicates growing collaboration with international researchers in deepfake countermeasures and ASR security.

Atanu Lahiriمشاهده پروفایل

دانشیار

• Economics of Information Systems
• Digital Piracy
• Software Security
• +۵ مورد دیگر

Dr. Atanu Lahiri is an Associate Professor of Information Systems at the Naveen Jindal School of Management, University of Texas at Dallas. His research focuses on the economics of information systems, digital piracy, software security, and healthcare IT. He holds a PhD from the University of Rochester (2010), and prior degrees from IIM Calcutta and IIT Kanpur. Professional Preparation: PhD in Business Administration, University of Rochester (2010) MS in Business Administration, University of Rochester (2007) P.G.D.M. in Management, IIM Calcutta (1997) B.Tech., IIT Kanpur (1995) Research Interests: Economic impacts of digital piracy on business strategies Cybersecurity policies and ransomware economics Healthcare IT adoption and clinical outcome measurement Algorithmic fairness and social media polarization Recent work explores how bundling strategies affect piracy losses, implications of online physician reviews, and cybersecurity economics. His 2020 INFORMS ISS Early Career Award recognizes contributions to information systems research. He directs the Graduate Certificate Program in Cybersecurity Systems and teaches courses in IT security and data warehousing. Notable awards include the 2021 HICSS Best Paper and multiple doctoral student collaboration awards.

Richard Enbodyمشاهده پروفایل

دانشیار

• Computer Security
• Cybersecurity
• Computer Architecture
• +۹ مورد دیگر

Richard Enbody is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University (MSU), within the College of Engineering. He has been at MSU since 1987, following a Ph.D. in Computer Science from the University of Minnesota and a B.A. in Mathematics from Carleton College. His research focuses on computer security, hardware security (e.g., Secure Bit), ransomware, browser malware, and cybersecurity education. He has won the Withrow Teaching Excellence Award twice (1992, 2008) and holds patents in nanotechnology and security hardware. Education: Ph.D., Computer Science, University of Minnesota, 1987 B.A., Mathematics, Carleton College, 1976 Research interests span: Computer security (ransomware, in-vehicle systems, browser exploits) Hardware security (buffer overflow prevention) Education (Python-based CS1 curriculum) Key contributions include: Books on cybersecurity and Python programming Development of Secure Bit hardware protection Advances in ransomware analysis and defense Awards include teaching excellence recognition and multiple patents. He advises graduate students in cybersecurity and holds leadership roles in academic departments.

Chengnian Sunمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Program Reduction
• +۵ مورد دیگر

Chengnian Sun is an Associate Professor in Software Engineering and Programming Languages at the University of Waterloo, Canada. His research spans program reduction, software testing, and compiler-related technologies, with a focus on developing practical tools for debugging and testing. Dr. Sun's research interests center on Software Engineering and Programming Languages , particularly in program reduction techniques, compiler testing, and software security. His work bridges theoretical foundations with practical applications, developing frameworks like Perses and Latra that have become influential in the software engineering community. His research demonstrates a consistent evolution from basic program reduction techniques to incorporating modern approaches like LLMs for compiler testing. His recent publications show a strong trend toward language-agnostic transformation frameworks and practical debugging tools , with increasing emphasis on security applications and integration of AI techniques. The research spans both theoretical foundations and practical implementations, with several tools developed becoming widely used in the software engineering community. Dr. Sun has served on program committees for major software engineering conferences including ASE, ICSE, ESEC/FSE, and ISSTA, demonstrating his standing in the research community. His extensive publication record shows consistent high-impact contributions across multiple venues, with particular emphasis on program reduction and compiler testing techniques. His work has led to the development of several influential tools including Perses (syntax-guided program reduction), Latra (template-based transformation framework), and AddressWatcher (memory leak localization). These tools have been widely adopted in both academic and industrial settings for debugging and testing purposes.

• Cyber Security
• Information Security
• Social Data Science
• +۴ مورد دیگر

Josh Jaffe is a probationary PhD researcher in the part-time DPhil in Information, Communication, and the Social Sciences at the Oxford Internet Institute (Oxford University). He concurrently serves as Chief Security Officer for Dell’s consumer businesses and previously held leadership roles as Global Chief Information Security Officer at Daimler Mobility AG and Director of Information Security Risk at Emerson Electric. His professional expertise spans cybersecurity in global enterprises, government intelligence (CIA, NSA), and advisory roles for startups and investors. Jaffe is a leader in the World Economic Forum’s Partnership Against Cyber Crime, focusing on ransomware mitigation, and President of the Global Center for Cyber Security, which expands cybersecurity education and career access for underrepresented communities. His academic work integrates cybersecurity with social sciences, addressing digital governance and emerging technologies’ societal impacts. He actively advises on cyber risk strategies and talent development initiatives, bridging academic research with industry and policy challenges.