Sai-Kit YEUNG 楊世傑

PhD in Electronic and Computer Engineering, The Hong Kong University of Science and Technology

Associate Professor
Primary Appointment: Integrative Systems & Design

Tel: (852) 3469 2796
Office: Room 6530
Links: Personal Webpage
Faculty Profile
Scholar Profile
Google Scholar

(852) 3469 2796



Room 6530

Personal Webpage

Research Area

Vision and Graphics; Human-Computer Interaction

Research Interests

Computer vision; Computer graphics; Computational design; Computational fabrication; Human-AI interaction; 3D reconstruction; Visual understanding; Virtual reality and augmented reality


Dr. Sai-Kit Yeung is currently an Associate Professor at the Division of Integrative Systems and Design (ISD) and the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he was an Assistant Professor at the Singapore University of Technology and Design (SUTD) and founded the Vision, Graphics and Computational Design (VGD) Group. During his time at SUTD, he was also a Visiting Assistant Professor at the Computer Science Department at Stanford University and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Prior to that, he had been a Postdoctoral Scholar in the Department of Mathematics, University of California, Los Angeles (UCLA). He was a visiting student at the Image Processing Research Group at UCLA in 2008 and the Image Sciences Institute, University Medical Center Utrecht, the Netherlands in 2007. He received his Ph.D. degree in Electronic and Computer Engineering, M.Phil. degree in Bioengineering, and B.Eng. degree (First Class Honors) from HKUST, respectively in 2009, 2005 and 2003.

Dr. Yeung's research expertise is in computer vision and computer graphics. His current research interests include 3D contents (scene and shape) reconstruction, understanding, modeling, and redesign, as well as computational design (using AI techniques for design and content generation), computational fabrication, visual understanding, and human-AI interaction.