Papers
2
Total Citations
85
H-Index
2
About
Kok Foong Lee is a pioneering researcher at the intersection of artificial intelligence, knowledge graphs, and autonomous scientific discovery. His work centers on developing distributed self-driving laboratories—intelligent systems that can autonomously design, execute, and analyze experiments across organizations. Lee’s major contribution is the creation of a dynamic knowledge graph architecture that enables seamless integration of resources and knowledge sharing between geographically dispersed labs, addressing a critical bottleneck in collaborative science. His most-cited paper, "A Dynamic Knowledge Graph Approach to Distributed Self-Driving Laboratories" (2024, 73 citations), demonstrates how this framework can accelerate scientific discovery for global challenges like pandemics and climate change. Building on his earlier work "From Platform to Knowledge Graph: Distributed Self-Driving Laboratories" (2023, 12 citations), Lee has established a foundation for a new paradigm in automated experimentation. His research is notable for transforming isolated laboratory automation into interconnected, intelligent networks, empowering scientists worldwide to collaborate more effectively. Lee’s vision promises to democratize high-throughput experimentation, making cutting-edge discovery accessible across borders and disciplines.
Research Focus
Key Achievements
Top Papers
- 1A dynamic knowledge graph approach to distributed self-driving laboratories73 citations · 2024
- 2From Platform to Knowledge Graph: Distributed Self-Driving Laboratories12 citations · 2023