Chee Kiat Seow

National University of Singapore, University of Glasgow

Papers

Total Citations

H-Index

About

Chee Kiat Seow is a researcher whose work bridges the critical domains of wireless sensor networks, robotics, and navigation security. His most influential contribution, the 2007 paper on "Hybrid Mobile Wireless Sensor Network Cooperative Localization," pioneered a novel approach that synergizes localization techniques from both wireless sensor networks and robotics, allowing them to mutually enhance each other's accuracy. This foundational work has garnered 15 citations and remains a key reference in cooperative positioning. More recently, Seow has addressed the urgent challenge of GNSS security, developing an anti-spoofing detection method using Gaussian Mixture Model machine learning (2022, 12 citations), a vital contribution for protecting IoT systems, robotics, and 5G technologies from malicious attacks. He has also explored the emerging field of human-robot interaction, specifically the non-verbal auditory aspects of service robots (2021, 4 citations), highlighting the importance of sound in creating more natural and predictable human-robot collaborations. Through these diverse yet interconnected contributions—from cooperative localization to GNSS security and human-robot communication—Seow demonstrates a sustained commitment to advancing the intelligence, safety, and interactivity of autonomous systems.