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About

Dr. Won-Seok Kang is a pioneering researcher whose work spans wireless sensor networks, assistive robotics, and human-robot interaction, with a particular focus on applications for healthcare and special education. His most influential contribution, "On the design of beacon based wireless sensor network for agricultural emergency monitoring systems" (64 citations), established foundational methods for real-time environmental monitoring using beacon-based communication protocols. Dr. Kang has made significant strides in assistive technology, notably through his design of a robot-assisted observation system for children with autism (13 citations), demonstrating how robotic systems can support therapeutic and educational interventions. His recent work introduces a multivariate CNN model for human locomotion activity recognition in wearable exoskeleton robots (7 citations), a study involving 500 healthy adults that advances the integration of deep learning with rehabilitation robotics. Additional contributions include fuzzy logic controllers for mobile robot obstacle avoidance and passive UHF RFID-based object tracking. Dr. Kang’s research consistently bridges theoretical innovation with practical implementation, addressing critical challenges in autonomous navigation, wireless communication, and human-centered robotics. His interdisciplinary approach continues to influence the development of intelligent systems that enhance safety, mobility, and quality of life.