جست‌وجوی استاد و پژوهشگر

Emmanuel Baccelliمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Low-power protocols
• Network security
• +۵ مورد دیگر

Emmanuel Baccelli is a Professor for "Open and Secure IoT Ecosystem" at Freie Universität Berlin since September 2019, holding a joint position with Inria and the Einstein Center Digital Future (ECDF). He is also a scientific researcher at Inria since 2007 and co-founder/coordinator of the RIOT open source operating system for IoT devices since 2013. His research focuses on the intersection of low-power protocols, deeply embedded open source software, and security in the Internet of Things (IoT) ecosystem. Baccelli emphasizes the critical trade-off between energy efficiency and security in IoT systems, advocating for privacy-by-design principles and open specifications. His work addresses how users can maintain control over their systems and data in an increasingly connected world. Baccelli's publications demonstrate a clear progression toward secure, efficient IoT systems with recent work focusing on secure firmware updates, TinyML deployment, and privacy-preserving protocols. His research spans from foundational networking protocols to practical implementations for constrained devices, with a consistent emphasis on open source solutions and security-by-design. Baccelli completed his PhD in 2006 at École Polytechnique in Paris on "Routing and Mobility in Large Packet-Based Networks" and received his habilitation from Université Pierre et Marie Curie in 2012. He previously served as a Guest Professor at Freie Universität Berlin in 2013-2014 with a DAAD Grant. His professional activities include significant contributions to IETF standards, particularly RFCs related to routing protocols for low-power networks. Baccelli's research has practical applications across multiple domains including healthcare, smart agriculture, and industrial IoT systems, where security and energy efficiency are paramount concerns.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +۶ مورد دیگر

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

Keyang Yuمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• Edge Computing
• Tiny Machine Learning
• +۴ مورد دیگر

Dr. Keyang Yu is an Assistant Professor in the Department of Computer Science at Marquette University, affiliated with the College of Engineering. His research focuses on designing data-driven computer systems to enhance cybersecurity and user privacy in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). He teaches COSC 6280: Advanced Computer Security. Research interests include Cyber Physical Systems, Edge Computing, Tiny Machine Learning, and Security & Privacy. He emphasizes privacy-aware automation in CPS at various scales. Recent work explores challenges in IoT privacy preservation despite traffic reshaping and vulnerabilities in smart home router operating systems. Publications highlight innovations such as PACAS (privacy-aware smart cameras), TrafficSpy (disaggregating encrypted IoT traffic), and SmartAttack (open-source security research tools). His work spans both theoretical frameworks and practical implementations in smart home security and renewable energy diagnostics. No scientific awards are explicitly listed, but ongoing contributions to IoT privacy and CPS security reflect impactful research. Advising and grant details are not provided in available texts. His work connects to labs focused on embedded systems security and privacy-preserving technologies.

Mariana Silvaمشاهده پروفایل

عضو هیئت علمی

• Educational Technology
• Computer Science Education
• Large Language Models (LLMs) in Assessment
• +۳ مورد دیگر

Mariana Silva is a Teaching Associate Professor at the Siebel School of Computing and Data Science , University of Illinois Urbana-Champaign, and CEO of PrairieLearn Inc. She holds a Ph.D. in Theoretical and Applied Mechanics from UIUC (2009). Her research focuses on leveraging educational technologies, such as Large Language Models (LLMs), to enhance computer-based assessments and scalable teaching practices. Silva has taught over 11 courses to 9,000+ students, emphasizing innovations in STEM education. She has pioneered adaptive testing tools and randomized question generators to improve equity and accessibility in large-scale courses. Education : Ph.D., Theoretical and Applied Mechanics, UIUC (2009) M.S., Mechanical Engineering, Federal University of Rio de Janeiro (2003) B.S., Mechanical Engineering, Federal University of Rio de Janeiro (2001) Research Interests : Silva’s work centers on technology-driven education , including automated grading using LLMs, design of adaptive assessment systems, and fostering collaborative learning. She has developed tools like PrairieLearn to streamline teaching workflows while maintaining educational rigor. Awards & Recognition : Scott H. Fisher Computer Science Teaching Award (2022) Rose Award for Teaching Excellence (2022) Multiple “List of Teachers Ranked as Excellent” (2009–2017) Engineering Council Outstanding Advising Award (2014–2019) Labs & Teams : Co-founder of PrairieLearn Inc., which provides open-source platforms for STEM education. She collaborates with interdisciplinary teams to advance educational technologies and testing infrastructure.

Paria Shiraniمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Vulnerability Research
• +۴ مورد دیگر

Paria Shirani is an Assistant Professor and Tier 2 Canada Research Chair in Cybersecurity at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa. She holds a PhD in Information Systems Engineering from Concordia University (FRQNT Doctoral Scholarship recipient) and completed an NSERC Postdoctoral Fellowship at Carnegie Mellon University (CMU). Her research focuses on cybersecurity, including IoT security, vulnerability detection, malware analysis, threat intelligence, and AI/ML applications. She leads funded projects across undergraduate, master’s, PhD, and postdoctoral levels, emphasizing equity, diversity, and inclusion (EDI). Research Highlights: Develops AI-driven solutions for IoT security and vulnerability detection. Pioneers binary code fingerprinting and firmware analysis techniques. Advances threat intelligence through machine learning and anomaly detection. Key awards include the NSERC Postdoctoral Fellowship, FRQNT Doctoral Scholarship, and the Tier 2 Canada Research Chair. Collaborations involve institutions like Concordia University, Carnegie Mellon University, and IBM’s Cyber Range. She actively serves on editorial boards (e.g., ACM Computing Surveys) and organizes conferences (e.g., SecureComm, PST).

Toyosi Oyinloyeمشاهده پروفایل

مدرس

• Cybersecurity
• Software Security
• Ethical Hacking
• +۴ مورد دیگر

Toyosi Oyinloye is the Deputy Head of the School of Computer and Engineering Sciences at the University of Chester, and Programme Leader of the NCSC-certified MSc Cybersecurity programme. She holds a PhD in Cybersecurity from the University of Chester and has over 20 years of experience in software development, database management, and cybersecurity. Her academic roles include teaching final-year computer programming (Swift for iOS Development) and postgraduate cybersecurity modules like Software Exploitation and Research Methods. Education: PhD in Cybersecurity, University of Chester (2024) MSc in Cybersecurity, University of Chester BSc in Computer Science, University of Ilorin, Nigeria PGCert in Learning and Teaching in Higher Education, University of Chester Research Interests: Toyosi focuses on enhancing software protection mechanisms, particularly through Inter-Process Control Flow Integrity to mitigate control flow hijacks. She also investigates mitigating social engineering attacks and applying data visualization for incident response. Her work spans cybersecurity domains such as mobile application security, exploit development, and firmware forensics. Professional Recognition: Fellow of the Higher Education Academy (FHEA) Fellowship (2023) British Computer Society Membership (2022) Teaching & Leadership: Toyosi supervises undergraduate programming projects and postgraduate cybersecurity research. She leads initiatives to elevate programme quality across the School and serves as an Internal Examiner for PhD candidates. Her leadership extends to mentoring and collaborative projects. Labs & Teams: Her research is affiliated with the University of Chester's Culture and Society Research and Knowledge Exchange Institute, where she contributes to interdisciplinary cybersecurity advancements.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +۴ مورد دیگر

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

• Computer Science
• Cybersecurity
• Internet of Things (IoT)
• +۳ مورد دیگر

Uzma Maroof is a Postdoctoral Scholar at the University of Waterloo , focusing on cybersecurity, IoT security, and time-series analysis. Her research explores innovative methods to secure connected devices and detect threats using machine learning and software architecture frameworks. Email: uzma.maroof@uwaterloo.ca Groups: Post Doctoral Scholars, Visitors Her recent work includes IoT event spoofing detection , reprogrammable security architectures , and on-the-fly firmware patching . Key methodologies involve time-series classification and statistical analysis for threat identification.

A. Continellaمشاهده پروفایل

دانشیار

• Systems Security
• Malware Detection
• Privacy Disclosures
• +۵ مورد دیگر

A. Continella is an Associate Professor in the Semantics, Cybersecurity, and Services group at the University of Twente, affiliated with the International Secure Systems Lab (iSecLab). Previously, they served as a Postdoctoral Researcher at UC Santa Barbara’s Computer Science Department and earned a Ph.D. cum laude from Politecnico di Milano. Their research focuses on systems security, particularly analyzing software for malware detection, privacy leaks, and vulnerability identification. They emphasize open science and actively participate in Capture The Flag (CTF) competitions, including DEFCON Finals with Shellphish. Education: Ph.D. cum laude in Computer Science and Engineering, Politecnico di Milano, Italy Research exchanges at UC Santa Barbara and University of Sydney’s School of Computer Science Research Interests: Security of daily-use software Ransomware defense mechanisms Obfuscated privacy leaks in Android apps Program analysis for firmware vulnerabilities Awards: Ph.D. cum laude distinction Labs & Collaborations: International Secure Systems Lab (iSecLab) SecLab at UC Santa Barbara

Christos Antonopoulosمشاهده پروفایل

دانشیار

• Wireless Networks
• Network Communication Protocols
• Embedded Software
• +۶ مورد دیگر

Dr. Christos Antonopoulos is an Associate Professor at the Department of Electrical and Computer Engineering, University of Patras. He holds a Diploma and PhD in Electrical Engineering from the University of Patras (2002, 2008) and has participated in over 16 European research projects (FP5, FP6, FP7, Horizon 2020) and 6 national projects. Research Interests: Wireless Networks Cyberphysical Systems Embedded Software Architecture Internet of Things Cross-Layer Protocols Sensor Networks Technical Expertise: His work involves network simulation, power optimization, and reconfigurable computing. He has published >100 journal/conference papers and 13 book chapters with over 1000 citations.

Ioannis Zografopoulosمشاهده پروفایل

استادیار

• Cyber-Physical Systems Security
• Electric Grid Security and Resilience
• Distributed Energy Resources (DERs)
• +۴ مورد دیگر

Ioannis Zografopoulos is an Assistant Professor in the Engineering Department at the College of Science and Mathematics, University of Massachusetts Boston. He leads the Infrastructure Cybersecurity and Resilience Laboratory (ICARUS), focusing on cybersecurity for critical energy infrastructure. Ph.D., Electrical and Computer Engineering, KAUST (2023) M.Sc., Electrical and Computer Engineering, University of Thessaly (2015) B.Eng. and M.Eng., Computer, Communications, & Network Engineering, University of Thessaly (2014) His research spans cyber-physical systems security, embedded systems for distributed energy resources, and real-time simulation for grid resilience. Recent work includes securing 6G-enabled smart grids and firmware attack detection in microgrids. Key publication keywords: Power Systems, Cybersecurity, IoT Security, Renewable Energy Integration, Industrial Control Systems. Subfields include grid resilience, firmware attacks, hardware-assisted detection, and behind-the-meter DERs. Scientific Awards: IEEE Senior Member (2025) Outstanding Reviewer, IEEE Open Access Journal of Power and Energy (2025) 1st Place - CSAW-HMR (2022) Black Hat USA Scholarship (2022) Zografopoulos mentors students in the Alfred P. Sloan Foundation's IDS Student Fellows Program and contributes to IEEE standards and technical reports.

• Software Security
• Software Engineering
• Cybersecurity
• +۳ مورد دیگر

Wei Huo is a researcher at the Institute of Information Engineering, Chinese Academy of Sciences, specializing in software security and engineering. His work focuses on vulnerability detection, program analysis, and cybersecurity across diverse systems including cloud infrastructure, firmware, and web applications. His research interests encompass Software Security , Program Analysis , Binary Analysis , and AI-driven security techniques . He develops practical tools for identifying vulnerabilities in Kubernetes ecosystems, baseband firmware, and binary code, with emphasis on real-world applicability in industrial contexts. Analysis of his publications (2019-2025) reveals a consistent focus on empirical security studies and tool development. Key trends include cloud-native security (Kubernetes), firmware analysis (printers/baseband), and AI-enhanced binary similarity detection, demonstrating progression from component-level to system-level security challenges. While no specific awards are documented in the source material, his contributions to top venues like ASE, ICSE, and ISSTA reflect significant impact in software engineering research. His work bridges academic rigor with practitioner-oriented solutions, particularly in vulnerability management and automated testing. Wei Huo actively contributes to the security research community through publications addressing critical infrastructure vulnerabilities, though details about student supervision or grant funding are not available in the provided text.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Qing Caoمشاهده پروفایل

دانشیار

• AI for Cyber-Physical Systems
• Networking and Distributed Systems
• Cyber Security
• +۵ مورد دیگر

Qing 'Charles' Cao is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. His research focuses on AI-driven Cyber-Physical Systems, Networking, and Cyber Security, with applications in IoT, Edge Computing, and Smart Agriculture. He holds a PhD from the University of Illinois at Urbana-Champaign, an MS from the University of Virginia, and a BS from Fudan University, China. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Virginia, 2005 BS in Computer Science, Fudan University, Shanghai, China, 2002 Research Interests: His work emphasizes interdisciplinary solutions at the intersection of AI, networking, and security. Key areas include: - Blockchain-based security mechanisms for edge devices - LLM applications in public policy and climate decision-making - IoT-driven precision agriculture and livestock health monitoring - Probabilistic error reasoning and fault tolerance in distributed systems Grants & Awards: No awards explicitly listed, but his research has been supported by grants in areas like smart agriculture and edge computing infrastructure. Advising & Labs: While specific advisees are not listed, his research group focuses on collaborative projects involving students in cybersecurity, IoT, and AI systems. He has contributed to lab initiatives related to environmental computing and distributed sensor networks. Professional Activities: Active in conferences like AAAI, IEEE IPCCC, and ACM/IEEE Edge Computing Symposiums, presenting on topics ranging from LLM-assisted governance to secure edge architectures.

Badis Hammiمشاهده پروفایل

استادیار

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technology
• +۵ مورد دیگر

Badis Hammi is an Assistant Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on IoT security, blockchain applications, botnet detection, and vehicular networks. He has authored numerous peer-reviewed articles on topics such as malware analysis, phishing detection frameworks, and decentralized security solutions in smart homes and healthcare sectors. Education PhD in Cryptography and Security (2015), Université de Technologie de Troyes Research Interests Cybersecurity frameworks for IoT and blockchain systems Malware detection methodologies PKI security in cooperative intelligent transportation systems (C-ITS) Phishing prevention using graph neural networks Botnet activity analysis in cloud environments Recent Article Trends His recent work emphasizes blockchain's role in mitigating supply chain fraud, improving smart home security, and securing vehicular communications. He also explores machine learning approaches for detecting Sybil attacks and network anomalies in distributed systems. Grants & Advising Active in collaborative projects with industry partners on vehicular network security Advises on EU-funded initiatives for blockchain-based authentication systems Labs/Teams Affiliated with the SAMOVAR research lab at Telecom SudParis, focusing on network and system security.