Chee‐Onn Chow
Papers
2
Total Citations
8
H-Index
2
About
Dr. Chee-Onn Chow is a leading researcher in wireless communications and intelligent systems, with a focus on post-disaster management and autonomous driving technologies. His work addresses critical challenges in resource allocation and multimodal sensor fusion. In a highly cited 2023 study (6 citations), Dr. Chow introduced a mobility-aware resource allocation framework for the Internet of Robotic Things (IoRT) in post-disaster scenarios, leveraging parameterized reinforcement learning to optimize communication under extreme conditions—a vital contribution to search-and-rescue operations. More recently, in 2025, he proposed a novel temporal pyramid alignment and adaptive fusion method for event cameras and RGB frames, enabling robust keypoint detection and tracking for autonomous driving. This work tackles the fundamental alignment and fusion hurdles in multimodal perception, showcasing his ability to bridge theoretical innovation with real-world applications. Dr. Chow’s research, though early in citation impact, demonstrates significant potential to enhance disaster response and autonomous vehicle safety. His interdisciplinary approach, combining reinforcement learning, computer vision, and communication networks, positions him as a rising scholar shaping the future of resilient and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2