Yan Zhuang

About me

I am a PhD student from Imaging and Data Science Lab under Prof. Gustavo Rohde guidence, University of Virginia. My research is to build computer-vision-assisted diagnosis systems based on mathematical modeling of signal and image data, which crosses multiple disciplines from biomedical image analysis, computer vision, machine learning, cyber-physical system, to health informatics. Becuase my background is from computer engineering, I am also a fan of building the system that can be used in the medical or healthcare domain, such as sleep monitoring, air quality monitoring, and gait analysis.

My Google Scholar, Project Page, and Twitter

The startup that I get involved.

Previously, I was a research associate @ ESC Lab under Prof. Wenyao Xu guidance from 2014-2015, University at Buffalo. I got my M.S. degree from University at Buffalo under Dr. Pao-Lo Liu and Dr. George C. Lee guidence in 2014.



  1. Yan Zhuang Omar Uribe, Mark Mcdonald, Xuwang Yin, Dhyey Parikh, Andrew Southerland, and Gustavo Rohde, "F-DIT-V: An Automated Video Classification Tool for Facial Weakness Detection." 2019 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2019.
  2. Yan Zhuang, Omar Uribe, Mark Mcdonald, Iris Lin, Daniel Arteaga, William Dalrymple, Bradford Worrall, Andrew Southerland, and Gustavo Rohde,“Pathological facial weakness detection using computational image analysis,” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), IEEE, 2018.
  3. Feng Lin, Chen Song, Yan Zhuang, Wenyao Xu, Changzhi Li, and Kui Ren,"Cardiac Scan: a Non-contact and Continuous Authentication System", The 23rd ACM Annual International Conference on Mobile Computing and Networking (MobiCom'17), Snowbird, Utah, October, 2017.
  4. Yan Zhuang, Jiaqi Gong, D. Casey Kerrigan, Bradford C. Bennett, John Lach, and Shawn Russell. "Gait tracker shoe for accurate step-by-step determination of gait parameters." In Wearable and Implantable Body Sensor Networks (BSN), 2016 IEEE 13th International Conference on, pp. 13-18. IEEE, 2016.
  5. Yan Zhuang, Chen Song, Feng Lin, Yiran Li, Changzhi Li, and Wenyao Xu, "On the Feasibility of Non-contact Cardiac Motion Sensing for Emerging Heart-based Biometrics", 2016 IEEE Radio and Wireless Week (RWW 16), Austin, Texas, January 2016
  6. Yan Zhuang, Chen Song, Aosen Wang, Feng Lin, Yiran Li, Changzhan Gu, Changzhi Li, and Wenyao Xu, "Non-invasive Sleep Event Recognition Using An Electromagnetic Probe", IEEE 12th Annual Body Sensor Networks Conference (BSN 15), Boston, Massachusetts, June 2015.
  7. Yan Zhuang, Feng Lin, Eun-Hye Yoo, and Wenyao Xu, "AirSense: A Portable Context-Sensing Device for Personal Air Quality Monitoring", ACM International Workshop on Pervasive Wireless Healthcare (MobileHealth 15), Hangzhou, China, June 2015


  1. Yingxiao Wu, Yan Zhuang, Feng Lin, Xi Long, and Wenyao Xu, "Human Gender Classification: A Review", International Journal of Biometrics (IJBM), vol. 8, issue 3/4, pp 275 - 300, 2016
  2. Feng Lin, Aosen Wang, Yan Zhuang, Machiko R. Tomita, and Wenyao Xu, "Smart Insole: a Wearable Sensor Device for Unobtrusive Gait Monitoring in Daily Life", IEEE Transactions on Industrial Informatics (TII), vol. 12, issue 6, pp 2281 - 2291, December 2016. [IF = 8.785]
  3. Feng Lin, Yan Zhuang, Chen Song, Aosen Wang, Yiran Li, Changzhan Gu, Changzhi Li, and Wenyao Xu, "SleepSense: a Noncontact and Cost-effective Sleep Monitoring System", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), vol. 11, issue 1, pp 189 - 202, February 2017. [IF = 3.209]

    Poster and abstract

  1. Mark Mcdonald, Omar Uribe, Yan Zhuang, Iris Lin, Daniel Arteaga, William Dalrymple, Bradford Worrall,Gustavo Rohde and Andrew Southerland. Comparison of Human and Machine Learning Based Facial Weakness Detection. Stroke. 2019 Feb.
  2. Omar Uribe, Mark Mcdonald, Yan Zhuang, Iris Lin, Daniel Arteaga, William Dalrymple, Bradford Worrall, Andrew Southerland, and Gustavo Rohde. Automated Detection of Facial Weakness Using Machine Learning. Stroke. 2018 Feb.
  3. Yang, Zhuolin, Zhengxiong Li, Yan Zhuang, and Wenyao Xu. "Exploring an Inclusive User Interface through Respiration." In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, pp. 522-522. ACM, 2018.

Award and professional activity

  • NSF BHI2019 Travel Award
  • ACM MobiHoc2015 Student Travel Grant
  • IEEE JBHI reviewer
  • INFOCOM2016 reviewer
  • IEEE student member

  • Funding

  • American Heart Association
  • UVa-Coulter Research Partnership