Kok‐Kwang Phoon
Papers
1
Total Citations
20
H-Index
1
About
Kok-Kwang Phoon is a pioneering figure in geotechnical engineering, renowned for his transformative work in machine learning applications, uncertainty quantification, and reliability-based design. As a Distinguished Professor at the Singapore University of Technology and Design, he has fundamentally reshaped how the field approaches data-driven geotechnics. His landmark contributions include developing the concept of "data-centric geotechnics," which emphasizes the critical role of data infrastructure and quality over sheer volume. This vision was crystallized in his organization of the first Workshop on the Future of Machine Learning in Geotechnics (FOMLIG) in 2023, whose proceedings have already garnered 20 citations, highlighting the community's urgent interest in integrating human judgment, computational efficiency, and geotechnical context into ML workflows. With over 30,000 citations and an h-index exceeding 80, Phoon's work on random fields, site characterization, and LRFD calibration has become foundational. He is also the founding Editor-in-Chief of the journal *Georisk* and a recipient of numerous international awards, including the ASCE Norman Medal. His research continues to guide a generation of engineers toward more robust, data-informed, and risk-aware geotechnical practice.
Research Focus
Key Achievements
Top Papers
- 1