Mr. Nordine Quadar | Energy | Best Researcher Award
Researcher at Royal Military College of Canada, Canada.
πNordine Quadar is an accomplished researcher and technical leader specializing in electrical and computer engineering, cybersecurity, machine learning, and wireless communications. His expertise spans developing optimized algorithms for hardware-restricted devices, advancing AI capabilities in natural language processing, and enhancing cybersecurity for UAVs and IoT systems. He has a proven ability to balance high-quality research with leadership roles, including project and team management. His contributions are well-documented through an extensive list of publications in high-impact journals and conferences, emphasizing practical applications of machine learning and cybersecurity.
Profileπ€
Education π
πPhD in Computer Science (2022β2025) – Royal Military College of Canada, focusing on enhancing UAV cybersecurity with edge AI. MASc in Electrical & Computer Engineering (2015β2018) – University of Ottawa, with a thesis on spatial modulation in MIMO-CDMA systems. BASc in Electrical Engineering (2011β2014) – University of Ottawa, specializing in advanced electronic systems and coding.π§¬π
Experience
π©ΊCybersecurity Researcher (2023βPresent) – Mitacs/Thales: Developed RF fingerprinting techniques for UAV security. Regional Technical Manager (2017βPresent) – DC Group: Led teams in high-stakes electrical projects, achieving exceptional client satisfaction. Research Assistant (2022β2023) – Royal Military College of Canada: Advanced automotive network security. Data Scientist Intern (2022β2023) – Xlscout: Enhanced algorithms using NLP for semantic search.Β π¨βπ¬π
Research Interests π¬
π¬Specializes in Cybersecurity for IoT, UAVs, and AI agents, emphasizing machine learning, NLP, and physical layer security. His work integrates RF Signal Analysis and advanced algorithms to optimize security and communication systems.βΒ πΏπ§ͺ
Awards and Honors π