معرفی
Prof. Hong-Chuan Yang is a Professor of Electrical and Computer Engineering at the University of Victoria, Canada. He holds a B.E. from Jilin University (1995), M.Sc. degrees in Applied & Computational Mathematics and Electrical Engineering, and a Ph.D. in Electrical Engineering from the University of Minnesota (2003). Previously, he worked as a research associate at the China Academy of Information and Communications Technology (1995–1998). His research focuses on wireless communications, particularly intelligent transmission for cyber-physical systems, with emphasis on UAV-enabled networks, FSO/RF hybrid systems, and reinforcement learning applications. Notable contributions include optimization of UAV trajectory design, energy-efficient IoT transmission, and secure satellite communication systems.
His work spans Max-Min Fairness-Oriented UAV Navigation, Age of Information Minimization in NOMA-IoT, and FSO/RF Hybrid Systems for Satellite Links. Awards include the University of Minnesota Doctoral Dissertation Fellowship (2002–2003). He is a Senior IEEE Member and a registered Professional Engineer in BC.
- Key Research Themes: UAV Networks, FSO/RF Hybrid Systems, Reinforcement Learning, Satellite Communications
- Notable Achievements: 20+ publications since 2017, with focus on stochastic modeling, network optimization, and secure transmission
Current projects address challenges in ultra-reliable low-latency communications (URLLC), energy-efficient WBANs, and AI-driven network design.
