Mingui Sun, PhD


Mingui Sun




Mingui Sun, PhD, received a BS degree in instrumental and industrial automation in 1982 from the Shenyang Chemical Engineering Institute in Shenyang, China, and an MS degree in electrical engineering in 1986 from the University of Pittsburgh, where he also earned a PhD degree in electrical engineering in 1989. He was later appointed to the faculty in the Department of Neurological Surgery.

Dr. Sun’s research interests include neurophysiological signals and systems, biosensor designs, brain-computer interface, bioelectronics and bioinformatics. He has more than 450 publications.

Specialized Areas of Interest

Biomedical engineering; biomedical instrumentation; biomedical signal processing, computational neurophysiology, image and video processing; computer-assisted neurosurgery and diagnosis.

Professional Organization Membership

American Institute for Medical and Biological Engineering
Institute of Electrical and Electronics Engineers
IEEE Engineering in Medicine and Biology Society
IEEE Circuit and Systems Society

Education & Training

BS, Instrumentation/Industrial Automation, Shenyang Chemical Institute, 1982
MS, Electrical Engineering, University of Pittsburgh, 1986
PhD, Electrical Engineering, University of Pittsburgh, 1989

Selected Publications

Li Z, Jia W, Chen H-C, Wang K, Zuo W, Meng D, Sun M. Multiview Stereo and Silhouette Fusion via Minimizing Generalized Reprojection Error. Image and Vision Computing 33:1-14, 2015.

Chen H-C, Jia W, Sun X, Li Z, Li Y, Fernstrom JD, Burke LE, Baranowski T, Sun M. Saliency-aware food image segmentation for personal dietary assessment using a wearable computer. Measurement Science and Technology 26(2), 2015.

Li Z, Wei Z, Yue Y, Wang H, Jia W, Sun M. An adaptive hidden Markov model for activity recognition using a wearable multi-sensor device. Journal of Medical Systems 39(5):57, 2015.

Cheng F, Zhang H, Sun M, Yuan D. Cross-trees, Edge and Superpixel Priors-based Cost aggregation for Stereo matching. Pattern Recognition, 48(7):2269-78, 2015.

Sun W, Wang H, Sun C, Guo B, Jia W, Sun M. Fast single image haze removal via local atmospheric light veil estimation. Comput Electr Eng 46:371-383, 2015.

Liao X, Yuan Z, Fai Q, Quo J, Zhen Q, Yu S, Tong Q, Si W, Sun M. Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound TherapyPLoS One 10(5):e0127873, 2015.

Chyu MC, Austin T, Calisir F, Chanjaplammootil S, Davis MJ, Favela J, Gan H, Gefen A, Haddas R, Shen CL, Shieh JS, Su CT, Sun L, Sun M, Tewolde SN, Williams EA, Yan C, Zhang J, Zhang YT. Healthcare Engineering Defined: a White Paper. J Healthc Eng 6(41):635-648, 2015.

Dudik JM, Coyle JL, El-Jaroudi A, Sun M, Sejdic E. A matched dual-tree wavelet denoising for tri-axial swallowing vibrations. Biomed Signal Process Control 27:112-121, 2016.

A complete list of Dr. Sun's publications can be reviewed through the National Library of Medicine's publication database.

Research Activities

Dr. Sun has been involved in the following research projects:

1) Miniature Medical Implants and Neuroengineering: During Dr. Sun’s sabbatical leave at the Huazhong University of Science and Technology, he conducted research with his collaborators and developed a prototype of a grain-sized medical implantable device. They studied the problems of delivering electrical power to the electronic system within the device using microwave electromagnetic fields and performing data communication using delta-sigma modulation. A research paper has been prepared and submitted for publication. With the participation of Dr. Sun’s graduate students at the University of Pittsburgh and his collaborators at Huazhong, Dr. Sun also studied a special form of tubular implant that can be wrapped around a damaged nerve. This implant could be used to promote healing using electric stimulation.

2) Gates Foundation Project: With support from the Bill and Melinda Gates Foundation, Dr. Sun’s lab joined a multi-national research team consisting of the University of Pittsburgh, Imperial College in UK, University of Newcastle in Australia, University of Alabama, University of Colorado, Baylor School of Medicine, and Boston University to perform a large-scale study of diet and dietary related behavior in underdeveloped countries in African and Southeast Asia. The University of Pittsburgh team developed a new wearable device called eHat to be used for assessing the energy and nutrition intake of breast-feeding infants. They have also developed both hardware and software for another wearable device called eButton to study food preparation in families in underdeveloped countries.

3) Magic Socks Project: With a support from the Innovation Institute at the University of Pittsburgh, Dr. Sun studied Magic Socks, a wearable therapeutic device for the treatment of restless leg syndrome, a neurological sensory motor disorder. Dr. Sun constructed a prototype and is in the process of installing and calibrating stimulation components of this textile wearable device.