Assistant Professor, Department of Computer Science
I lead the Design Computing and Extended Reality (DCXR) Group at George Mason University. What will the future of work, entertainment, and everyday life be like 5-10 years from now? To envision the possibilities, my research group conducts research in the following areas: (1) Computer Graphics; (2) Computer Vision; and (3) Human-Computer Interaction & Virtual Reality. Along this research direction, we are also interested in interdisciplinary research in topics such as: (a) Artificial Intelligence & Machine Learning to explore how we can incorporate AI/ML techniques to devise convenient, efficient and powerful design tools; (b) Robotics & Automation to explore how humans and robots can collaborate seamlessly in design and problem-solving; and (c) Cognitive Science to better understand human perception towards everyday surroundings so as to create user-friendly design tools and interfaces.
■ Spatial Computing: we invent computer vision algorithms to achieve 3D reconstruction and affordance analysis of our surroundings and objects; to support virtual reality (VR) and augmented reality (AR) applications.
■ AI for Design: we create creativity support tools driven by artificial intelligence and machine learning techniques to automatically generate designs such as architectural layouts and 3D objects.
■ Computational Interaction: based on human perception data, we devise adaptive user interfaces and user experiences that are optimized to facilitate human-AI collaborations in work and everyday life.
■ Computational and digital, culture, humanities, and the arts, education, engineering.
■ Yu, L.F., et al. (2011). Make it home: Automatic optimization of furniture arrangement. ACM Transactions on Graphics (Proceeding of SIGGRAPH).
■ Feng, T., et al. (2016). Crowd- driven mid-scale layout design. ACM Transactions on Graphics (Proceeding of SIGGRAPH).
■ Zhang, Y., et al. (2019). Pose-guided level design. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI).
■ Xie, B., et al. (2018). Exercise intensity-driven level design. IEEE Transactions on Visualization and Computer Graphics (TVCG). (Special Issue on IEEE Virtual Reality).