Ying Chen is a Ph.D. candidate in the Electrical and Computer Engineering Department at Duke University, Durham, NC, USA, under the supervision of Prof. Maria Gorlatova in the Intelligent Interactive Internet of Things Lab. In prior, she 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 ergonomic, robust, and adaptive virtual and augmented reality systems with the sensing, modeling, and inference of environmental conditions and human behaviors. Additionally, she has had engineering and research internships at Qualcomm and NTT Docomo.
Virtual reality (VR) and augmented reality (AR) are transforming the way people interact with engineered systems via exploiting immersive visualization to strengthen the connectivity between both human and cyber-physical systems. My research focuses on building ergonomic, robust, and adaptive VR and AR 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 analyzing characteristics of user behaviors and environmental conditions and building adaptive systems to respond to these characteristics. More specifically, my current work covers three major areas: (1) developing adaptive and robust simultaneous localization and mapping (SLAM) under resource constraints for AR devices, (2) enhancing AR systems' capabilities of environmental sensing and monitoring with external Internet of things (IoT) sensors, and (3) analyzing and exploiting pose characteristics for virtual content generation.