Helps students develop critical skills.
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Ye (Sarah) Sun is an associate professor of mechanical and aerospace engineering at the University of Virginia, with a joint appointment as associate professor of electrical and computer engineering. She joined the University of Virginia in 2021, following her tenure as an associate professor in the Department of Mechanical Engineering at Michigan Technological University. Sun earned her Ph.D. in electrical engineering from Case Western Reserve University and her B.S. in instrumentation engineering from Tianjin University. Her academic interests center on wearable sensors and electronics, wearable robotics, smart and connected health, and cyber-physical systems. As the principal investigator of the Wearable Electronics and Robotics Laboratory (WEARLab), she conducts interdisciplinary research that integrates engineering innovations with human health and behaviors, developing human-centered wearable electronics, soft robotics, and brain-computer interface technologies for motion assistance, neurorehabilitation, pervasive healthcare, human augmentation, and health monitoring.
Sun has garnered significant recognition for her contributions, including the National Science Foundation CAREER Award in 2018 and the NSF BRITE Award in 2022. She served as General Chair of the IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies in 2022 and received the Outstanding Associate Editor Award from Elsevier Smart Health Journal in 2021. Her influential publications include "An SSHI Rectifier for Triboelectric Energy Harvesting" by X. Li and Y. Sun in IEEE Transactions on Power Electronics (2020); "Energy-Efficient ECG Signal Compression for User Data Input in Cyber-Physical Systems by Leveraging Empirical Mode Decomposition" by H. Huang, S. Hu, and Y. Sun in ACM Transactions on Cyber-Physical Systems (2019); "A Discrete Curvature Estimation Based Low-Distortion Adaptive Savitzky–Golay Filter for ECG Denoising" by H. Huang, S. Hu, and Y. Sun in Sensors (2019); "TriboMotion: A Self-Powered Triboelectric Motion Sensor in Wearable Internet of Things for Human Activity Recognition and Energy Harvesting" by H. Huang, X. Li, S. Liu, S. Hu, and Y. Sun in IEEE Internet of Things Journal (2018); and "An Optical Fiber-Based Data-Driven Method for Human Skin Temperature 3-D Mapping" by W. Liu et al. in IEEE Journal of Biomedical and Health Informatics (2018). Her research has advanced fields such as energy harvesting, signal processing, and biomedical sensing.
