Contact
Location
Link Lab, Olsson, Room 275
Personal Website UVA Engineering Link Lab

About

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.

Education

B.A. in Computer Science and Mathematics from Drury University in 2014

M.S. in Computer Science from the College of William and Mary in 2016

Ph.D. in Computer Science from the College of William and Mary in 2020

Research Interests

Wearable technology for Healthcare and Athletic Performance

Selected Publications

Lumos: An Open-Source Device for Wearable Spectroscopy Research, IMWUT 2022 Amanda Watson, Claire Kendell, Anush Lingamoorthy, Insup Lee, James Weimer Proceedings of the Acm on Interactive, Mobile, Wearable, and Ubiquitous Technologies (Acm Imwut)
Drug Overdose Vital-Signs Evaluator Using Machine Learning, IJCAI 2024 Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob Brenner, Nagarajan Kandasamy, Amanda Watson
LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement, IMWUT 2021 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)
Magneto: Joint Motion Analysis Using an Electromagnet-Based Sensing Method. IPSN 2021 Amanda Watson, Andrew Lyubovsky, Kenneth Koltermann, Gang Zhou Acm/ieee International Conference on Information Processing in Sensor Networks (Ipsn)