Researcher, Royal Military College of Canada, Canada
🌟 Nordine Quadar is a seasoned Technical Manager, Researcher, and Cybersecurity Expert with a proven track record in managing multidisciplinary teams and conducting cutting-edge research. Currently based in Montreal, Canada, Nordine specializes in cybersecurity for Unmanned Aerial Vehicles (UAVs) and has extensive experience in machine learning, data analysis, and software-defined radio. With over two decades of expertise spanning technical management, research, and academia, Nordine’s impactful contributions include several high-profile publications and successful projects in diverse domains such as IoT, automotive networks, and power systems.
Publication Profile
Google Scholar
Education
🎓 Nordine Quadar holds a Ph.D. in Computer Science (2022–2025) from the Royal Military College of Canada, where he focuses on enhancing UAV cybersecurity using Edge AI. He earned his Master of Applied Science in Electrical & Computer Engineering (2015–2018) and Bachelor of Applied Science in Electrical Engineering (2011–2014), both from the University of Ottawa, Canada. His research has consistently explored cutting-edge innovations, including MIMO-CDMA systems and cybersecurity for critical systems.
Experience
💼 With a career spanning roles as a Cybersecurity Researcher, Technical Manager, Data Scientist, and Electrical Engineer, Nordine has consistently excelled in leadership and innovation. At Thales Digital Identity and Security, he spearheads research on UAV cybersecurity. As a Regional Technical Manager at DC Group, he ensures operational excellence across critical power systems. His roles at Royal Military College, Xlscout, Schneider Electric, and other leading organizations underscore his technical acumen and project management prowess.
Research Interests
🔬 Nordine’s research focuses on cybersecurity, machine learning, and IoT applications, with a keen interest in unmanned aerial systems and AI-driven anomaly detection. His work delves into RF signal analysis, time-series data modeling, and edge AI to secure modern technological ecosystems. He also explores emerging trends in digital twin technology and intrusion detection systems for automotive networks.
Awards
🏆 Nordine has been recognized for his innovative contributions across diverse fields. His research has garnered international acclaim, with several of his papers accepted in prestigious journals and conferences. His dedication to advancing cybersecurity and IoT technologies exemplifies his commitment to excellence in research and industry.
Publications
- The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review, Applied Sciences, 2024. Read Here
- Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends, IEEE Internet of Things Magazine, 2024. Cited by 15.
- IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece, IEEE Internet of Things Magazine, 2024. Cited by 12.
- Recommendation Systems: Models, Techniques, Application Fields, and Ethical Challenges, 7th International Conference on Big Data and Internet of Things (BDIoT ’24), 2024. To appear.
- Cybersecurity for Unmanned Aerial Vehicles: Concerns, Practices, and Conceptual Measures, Conference of the International Society of Military Sciences, 2023. To appear.