Papers
8
Total Citations
78
H-Index
5
About
Geok See Ng is a researcher whose work bridges robotics, computer vision, and cybersecurity, with a particular focus on securing Cyber-Physical Systems (CPS). His most impactful contributions center on attack detection in robotic systems, where he has conducted pioneering experimental evaluations of stealthy cyber attacks on physical robots like the Amigobot. Ng’s 2017 paper, “A comprehensive approach, and a case study, for conducting attack detection experiments in Cyber–Physical Systems,” has garnered 26 citations, establishing a methodological foundation for the field. Earlier, his 1998 work on recognizing partially occluded objects using back-propagation neural networks (22 citations) addressed a fundamental challenge in computer vision. Ng has also explored humanoid robotics motion planning through dynamic fuzzy neural networks and dynamically reconfigurable FPGA architectures for robotics control. His empirical assessments of attack detection methods—comparing techniques like CUSUM against surge, bias, and geometric attacks—have provided critical insights into the vulnerabilities of robotic systems. By combining rigorous experimental design with practical robotics applications, Ng’s research has significantly advanced the understanding of how to protect autonomous systems from malicious interference, making his work essential reading for researchers in robotics security and CPS safety.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Experimental Evaluation of Stealthy Attack Detection in a Robot11 citations · 2015
- 4Empirical Assessment of Methods to Detect Cyber Attacks on a Robot7 citations · 2016
- 5Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network5 citations · 2007
- 6Dynamically reconfigurable FPGA for robotics control3 citations · 2008
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