Papers
5
Total Citations
111
H-Index
3
About
Kevin Fung is a researcher whose work bridges the demanding worlds of head and neck surgery and autonomous robotics. In otolaryngology, he is best known for pioneering minimally invasive techniques, most notably through his highly cited work on transoral robotic total laryngectomy (73 citations), which offered a new, less toxic surgical option for head and neck cancer patients. He also made significant contributions to surgical education, developing a novel high-fidelity peritonsillar abscess simulator (14 citations) to improve resident training. In parallel, Fung has advanced the field of autonomous navigation, proposing innovative algorithms for variable-speed robot path planning using an ACO approach (20 citations) and tackling complex problems like complete area coverage on polygonal surfaces. His dual expertise in clinical surgery and robotics highlights a unique interdisciplinary approach, aiming to improve both patient outcomes and the efficiency of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Transoral robotic total laryngectomy: Report of 3 cases73 citations · 2013
- 2Variable Speed Robot Navigation by an ACO Approach20 citations · 2019
- 3Novel High‐Fidelity Peritonsillar Abscess Simulator14 citations · 2016
- 4The Optimal Approach to the Painting Problems on Polygonal Surfaces2 citations · 2017
- 5Planning a Shortest Path Based on Detour and Path Shortening2 citations · 2019