Amanda Watson’s research focuses on wearable technology for healthcare and athletic performance. Amanda Watson is an Assistant Professor in Electrical Engineering and Computer Science at the University of Virginia. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS). Before joining UVA, she was a Postdoctoral Fellow at the PRECISE Center at the University of Pennsylvania mentored by James Weimer and Insup Lee. Previously, she was a member of the LENS lab where she researched wearable technology with Gang Zhou. She received her Ph.D. in Computer Science from the College of William and Mary in 2020, an M.S. in Computer Science from the College of William and Mary in 2016, and a B.A. in Computer Science and Mathematics from Drury University in 2014 where she was a 4-year letterman on the varsity volleyball team.

Selected Publications

  • Lumos: An Open-Source Device for Wearable Spectroscopy Research Amanda Watson, Claire Kendell, Anush Lingamoorthy, Insup Lee, James Weimer Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (ACM IMWUT), 2022
  • DOVE: Shoulder-based Opioid Overdose Detection and Reversal Device Anush Lingamoorthy, Amanda Watson, Korey Henderson, Ayan Mandal, David Gordon, Xiaonan Ma, James Weimer, Nagarajan Kandasamy, Jacob S. Brenner ACM/IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2023
  • LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement Woosub Jung, Amanda Watson, Scott Kuehn, Erik Korem, Ken Koltermann, Minglong Sun, Shuangquan Wang, Zhenming Liu, Gang Zhou Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT), 2021
  • Magneto: Joint Motion Analysis Using an Electromagnet-Based Sensing Method Amanda Watson, Andrew Lyubovsky, Kenneth Koltermann, Gang Zhou ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2021