Kai-Yin Fok

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About

Kai-Yin Fok is a researcher whose work sits at the intersection of advanced manufacturing and computational optimization, with a particular focus on 3D printing and trajectory planning. His most influential contribution, the 2016 paper "Trajectory planning for 3D printing: A revisit to traveling salesman problem," has garnered 39 citations and remains a foundational reference in the field. In this work, Fok reimagined the classic traveling salesman problem as a framework for optimizing the motion paths of 3D printers, demonstrating that smarter trajectory planning can significantly accelerate the printing process without compromising quality. By treating the print head’s movement as a routing challenge, he showed that reducing unnecessary travel time directly enhances overall speed—a critical insight for applications ranging from toy manufacturing to high-precision robotic components. Fok’s research bridges theoretical computer science and practical engineering, offering tangible solutions for industry. His work is particularly valuable for students and researchers exploring the intersection of additive manufacturing and algorithmic optimization, as it provides a clear, impactful example of how classic computational problems can be repurposed to solve modern manufacturing bottlenecks.