معرفی
Michel Kulhandjian is a researcher specializing in Wireless Communication and Machine Learning applications. His work spans NOMA Systems, RF Fingerprinting, and Drone-Assisted Sensing across academic institutions.
- Key collaborations with Carleton University, Carleton University, and University of Ottawa researchers
- Active in 5G/6G technologies and IoT Security since 2018
His recent articles focus on:
- 2024: Pedestrian detection, drone-based tree health monitoring, and industrial IoT security
- 2025: AI-powered agricultural robotics
Scientific contributions include:
- Code design for OTFS-NOMA systems
- Low-complexity detection algorithms
- 3D CNN frameworks for signal analysis
- RF Fingerprinting under impaired channels
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