Sye Loong Keoh

About

Dr. Sye Loong Keoh is a leading researcher in the security and privacy of cyber-physical systems, with a particular focus on the Internet of Things (IoT), Industry 4.0, and cloud robotics. His work addresses critical challenges in ensuring the trustworthiness and safety of interconnected, autonomous systems. A key contribution is the development of adaptive model verification techniques for modular Industry 4.0 applications, a method that dynamically validates the behavior of complex, sensor-driven systems to prevent failures (8 citations). Dr. Keoh also pioneers research into the human-robot interface, exploring non-verbal auditory cues to improve collaboration and predictability in service robots (4 citations). Furthermore, his foundational work on privacy protection for cloud-based robotic networks tackles the security risks of dynamic robot group formation and data sharing (2 citations). By bridging the gap between theoretical security models and practical, real-world deployments, Dr. Keoh’s research is vital for building the next generation of safe, secure, and intelligent autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive Model Verification for Modularized Industry 4.0 Applications

   8 citations · 2022
2. 2
   Non-Verbal Auditory Aspects of Human-Service Robot Interaction

   4 citations · 2021
3. 3
   Privacy Protection for Cloud‐Based Robotic Networks

   2 citations · 2017

Key Collaborators

Contact & Links