About me
Human-Computer Interaction
Human-Robot Interaction
Multi-Robot Systems
Computer Vision
Mixed Reality
Puqi Zhou is a Ph.D. student in Computer Science at George Mason University, advised by Sungsoo Ray Hong and co-advised by David Porfirio. Zhou's research lies at the intersection of human-computer interaction, human-robot interaction, computer vision, robotics, and mixed reality. Current work focuses on designing scalable, practical multi-robot systems that support domain experts in high-stakes and time-critical settings, especially public safety.
Education
George Mason University
Ph.D. in Computer Science
University College Dublin & Beijing University of Technology
B.Eng. Dual Degree, Electronic and Information Engineering
Research Projects
Multi-Robot Video Sensemaking for Frontline Police Professionals (MRVS)
George Mason University · 2023 – present
Multi-Robots Adaptive Task Planning based on Operator Attention (Attune)
George Mason University · 2025 – present
Multi-user Volumetric Video Streaming in Mixed Reality
2021 – 2023
Publications
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)
Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys 2024)
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (MobiCom 2024)
Collaborative Online Learning with VR Video: Roles of Collaborative Tools and Shared Video Control
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 2023)
VolumiVive: An Authoring System for Adding Interactivity to Volumetric Video
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2023)
M5: Facilitating Multi-User Volumetric Content Delivery with Multi-Lobe Multicast over mmWave
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022)
Extracurricular
Animal lover — always happy to share pictures of my pets. 🐾