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About

Chee-Kong Chui is a distinguished researcher whose work sits at the dynamic intersection of surgical robotics, augmented reality, and artificial intelligence-driven medical systems. His research has consistently focused on advancing minimally invasive surgery, robot-assisted interventions, and intuitive human-machine interfaces for clinical applications. Among his most impactful contributions is pioneering work in augmented reality-guided robotic surgery, including gesture-based control interfaces and multimodality imaging integration — areas that have collectively garnered hundreds of citations and helped redefine intraoperative visualization. His 2014 paper on hand gesture-guided robot-assisted surgery alone has attracted over 114 citations, reflecting its seminal influence on intuitive surgical control design. Chui has also made significant strides in cancer treatment technology, developing robotic systems for overlapping radiofrequency ablation in large tumor management and precision needle insertion, addressing critical challenges in treatment efficacy and accuracy. More recently, his adoption of deep reinforcement learning for laparoscopic training and flexible needle insertion demonstrates a forward-looking integration of AI into surgical workflows. Complementing these efforts, his exploration of soft robotics — including fabric-based robotic arms — signals a commitment to accessible, human-friendly robotic solutions. Together, Chui's body of work reflects a researcher dedicated to making advanced surgical technology safer, smarter, and more intuitive.