Chai Quek
Papers
6
Total Citations
308
H-Index
4
About
Chai Quek is a pioneering researcher whose work spans computational geometry, affective computing, and intelligent control systems. His most impactful contribution is the development of ElliFit (2012), a groundbreaking unconstrained, non-iterative least squares method for geometric ellipse fitting, which has garnered 165 citations and become a standard tool in computer vision and pattern recognition. In the realm of human-computer interaction, Quek’s 2011 study on cultural dependency in speech emotion recognition (74 citations) revealed how emotional expression varies across cultures, fundamentally advancing the design of culturally-aware affective systems. His earlier work on plasma-sprayed hydroxyapatite/Ti–6Al–4V composite coatings (1999, 55 citations) demonstrates interdisciplinary reach into biomaterials engineering. Quek also contributed to robotics with opportunistic planning algorithms for transportation fleets (2001) and developed the Integrated Supervision Pattern Language (ISPL) for intelligent control systems (2002), a novel architectural framework for complex dynamic processes. With over 300 total citations across diverse fields, Quek’s research exemplifies how methodological innovation—from ellipse fitting to cultural emotion analysis—can drive progress in both theoretical and applied domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cultural dependency analysis for understanding speech emotion74 citations · 2011
- 3
- 4Opportunistic planning for a fleet of transportation robots10 citations · 2001
- 5
- 6Opportunistic planning for a fleet of transportation robots2 citations · 2003