Brendan Khoo Teng Thiam

Universiti of Malaysia Sabah

Papers

2

Total Citations

9

H-Index

2

About

Brendan Khoo Teng Thiam is a researcher whose work sits at the intersection of intelligent systems, biometric security, and telemedicine. His research focuses on developing practical, real-world applications of computer vision and robotics to solve pressing societal challenges. Khoo’s most cited paper, “A LabVIEW Design for Frontal and Non-Frontal Human Face Detection System in Complex Background” (2014, 6 citations), addresses a critical bottleneck in biometric identification: reliably detecting faces from varying angles in cluttered environments. This work contributes to the robustness of surveillance and security systems, moving face recognition beyond idealized conditions. In a parallel vein, his paper “Medical Tele-Diagnosis Robot (MTR) - Internet Based Communication & Navigation System” (2014, 3 citations) showcases his interest in accessible healthcare. By designing a cost-effective mobile robot that enables remote specialists to virtually meet patients and consult with local doctors, Khoo directly tackles the challenge of specialist shortages in underserved areas. Though his citation counts are modest, his contributions are notable for their applied focus—bridging the gap between laboratory algorithms and deployable systems that enhance both security and medical access.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A LabVIEW Design for Frontal and Non-Frontal Human Face Detection System in Complex Background
6 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universiti of Malaysia Sabah

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago