Sai-Kit YEUNG

Sai-Kit YEUNG 楊世傑

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

Professor
Primary Appointment: Integrative Systems & Design

Sai-Kit YEUNG
Tel: (852) 3469 2796
Email:
Office: Room 6530
Links: Personal Webpage
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Sai-Kit YEUNG
Telephone

(852) 3469 2796

Email

Office

Room 6530

Personal Webpage

https://cse.hkust.edu.hk/~saikit/

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

Biography

Prof. Sai-Kit Yeung is currently a 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.

Prof. 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.