Ying Chen
Resource-efficient and Context-aware Augmented and Virtual Reality Systems
Research Abstract:
Next-generation augmented reality (AR) and virtual reality (VR) require a high degree of context awareness – a detailed knowledge of the user and environmental conditions, to seamlessly integrate virtual and real worlds in AR, and to provide context-specific adaptations in both AR and VR. My research focuses on building adaptive, resource-efficient AR and VR systems that are responsive to user behavioral patterns, and the surrounding environment and available resources. I work on statistical modeling, performance analysis, measurement study, algorithm design, and system implementation for characterizing user and environmental contexts and building adaptive systems to respond to these characteristics.
Bio:
Ying Chen is a Ph.D. candidate in the Electrical and Computer Engineering Department at Duke University, Durham, under the supervision of Prof. Maria Gorlatova in the Intelligent Interactive Internet of Things Lab. Ying is expected to submit her dissertation in May 2024. Prior to her Ph.D. studies, Ying obtained her B.Eng. and M.S. degrees from Beijing University of Posts and Telecommunications, Beijing, China, in 2016 and 2019, respectively. Her research interests lie in building robust, adaptive, and resource-efficient virtual and augmented reality systems with the sensing and modeling of environmental conditions and user behaviors. She published her work in premium conferences and journals on extended reality, networking, and systems, including IEEE INFOCOM, IEEE ISMAR, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology. She was selected to participate in Cyber-Physical System Rising Stars 2023.