Nick Yeung
Papers
2
Total Citations
11
H-Index
2
About
Nick Yeung is a cognitive neuroscientist whose research sits at the intersection of executive function, cognitive enhancement, and human-machine teaming. His work is driven by a fundamental question: how can we design training and technology to optimize human cognitive performance? Yeung’s most notable contribution is the development of the **FAST framework** (Flexible, Adaptive, Synergistic Training), a novel, theory-driven approach to cognitive enhancement that targets executive functions through adaptive, game-based training. This work, published in 2019, has already garnered 7 citations, signaling its growing influence in the field of cognitive intervention. More recently, Yeung has expanded his focus to the critical domain of **human-machine teaming (HMT)** , authoring a comprehensive 2024 review that synthesizes the state of the art in integrating human and AI capabilities for defence and beyond. This forward-looking work, with 4 citations to date, positions him at the forefront of research on how humans and intelligent systems can collaborate effectively. Yeung’s research bridges fundamental cognitive science with real-world application, making his work essential reading for students and researchers interested in the future of human cognition and technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2