Wenyan Jia, PhDResearch Assistant Professor
Wenyan Jia, PhD, received her PhD in biomedical engineering from Tsinghua University, China, in 2005 before joining the University of Pittsburgh as a postdoctoral scholar. In 2009, she was promoted to research assistant professor in the Department of Neurological Surgery.
Specialized Areas of Interest
Biomedical signal and image processing; wearable electronic device; mobile health.
Professional Organization Membership
IEEE Engineering in Medicine & Biology Society
Education & Training
BS, Biomedical Engineering, Capital University of Medical Sciences, 1998
MS, Biomedical Engineering, Capital University of Medical Sciences, 2001
PhD, Biomedical Engineering, Tsinghua University, 2005
Fellowship, Neurosurgery, University of Pittsburgh, 2008
Sun M, Burke LE, Baranowski T, Fernstrom JD, Zhang H, Chen H-C, Bai Y, Li Y, Li C, Yue Y, Sclabassi RJ, Mao Z-H, Jia W. An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. Journal of Healthcare Engineering 6:1-22, 2015
Jia W, Chen HC, Yue Y, Li Z, Fernstrom J, Bai Y, Li C, Sun M. Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera. Public Health Nutrition 17(8):1671-1681, 2014
Jia W, Yue Y, Fernstrom JD, Yao N, Sclabassi RJ, Fernstrom MH, Sun M. Image-based estimation of food volume using circular referents in dietary assessment. Journal of Food Engineering 109:76-86, 2012.
Jia W, Xu G, Sclabassi RJ, Zhu J-G, Bagic A, Sun M. Detection of magnetic nanoparticles with magnetoencephalography. Journal of Magnetism and Magnetic Materials 320:1472-1478, 2008.
Jia W, Kong N, Li F, Gao X, Gao S, Zhang G, Wang Y, Yang F. An epileptic seizure prediction algorithm based on second-order complexity measure. Physiological Measurement 26:609-625, 2005.
A complete list of Dr. Jia's publications can be reviewed through the National Library of Medicine's publication database.
Dr. Jia is working with Mingui Sun, PhD, mainly on two research projects funded by NIH. One project focuses on developing a novel leadless EEG system for point-of-care applications. Efforts to commercialize our prototype have been made and one company has shown interest in licensing our patent. The other project is to improve the hardware design and software algorithm of a wearable device, called eButton, for objective evaluation of diet, physical activity and lifestyle. We have collaborated with Baylor College of Medicine for a dietary study with children, which shows that eButton is a promising tool to minimize memory error related to child diet assessment, although other problems needs to be solved.