Doctoral Thesis: Passive Health Monitoring with Radio Waves — In Body and In Home
Current health care is primarily in-clinic, episodic, and semi-empirical. With the development of intelligent devices such as smartphones, smartwatches, and more cutting-edge devices such as smart in-body devices and smart contactless in-home sensors, we are beginning to see a paradigm shift in health care. Health care is becoming more embedded in daily life, using more continuously collected data and making more data-driven decisions. In this talk, I will talk about two of my research in this direction: One on our system to do deep in-body communication and localization using a backscatter scheme, which is solving the critical challenges of near-zero-power in-body continuous monitoring; Another is our work on digital biomarker based on passive measured in-home unscripted daily gait speed data from our smart contactless in-home sensors, which shows how new daily continuous monitored health-related data, can help us transform the way we assess Parkinson’s disease severity, motor fluctuation, and progression.
Bio: Guo Zhang is currently a final-year Ph.D. candidate at the Computer Science and Artificial Intelligence Laboratory at MIT, advised by Prof. Dina Katabi. His research focuses on hardware-software systems, data processing, and machine learning for digital health. His research has been covered by media including the Wall Street Journal, The Boston Globe, TechCrunch, Yahoo News, MIT News, CSAIL news, Engadget, VentureBeat, Mashable, South China Morning Post, Communications of the ACM, New Atlas, etc.
Guo Zhang received his MS degree from MIT in 2017 and his BS degree from Tsinghua University in 2015.
- Date: Wednesday, August 3
- Time: 12:00 pm - 2:00 pm
- Category: Thesis Defense
- Location: 32-G882
Additional Location Details:
Committee: Dina Katabi (Chair), Fadel Adib, Ipsit Vahia(Harvard Medical School)