Dr. Yufeng Zheng

Senior Member | Associate Professor at Univ of Mississippi Medical Ctr
Zheng, Yufeng
SPIE Leadership: Retrieving Data, please wait...
SPIE Membership: 17.0 years
SPIE Awards: Senior status | 2020 SPIE Community Champion | 2019 SPIE Community Champion
SPIE Involvement: Retrieving Data, please wait...
Area of Expertise: Bio-inspired Image analysis, Pattern recognition, Biometrics (face recognition), Computer-aided (cancer) detection, Multispectral image fusion and colorization, Deep learning convolutional neural network
Websites: Personal Website | Company Website
Social Media: LinkedIn
Contact Details:
Sign In to send a private message or view contact details

Profile Summary

Yufeng Zheng is an associate professor of data science in the University of Mississippi Medical Center (Jackson, MS). He received his Ph.D. degree in Optical Engineering/Image Processing from the Tianjin University (Tianjin, China) in 1997. He was a postdoctoral research associate at the University of Louisville (Kentucky) from 2001-2005. Dr. Zheng is the principal investigator of many funded projects such as cybersecurity enhancement with keyboard dynamics, canopy coverage estimation with neural network, multisensory image fusion and colorization; thermal face recognition; and multispectral face recognition. Dr. Zheng holds a utility patents in face recognition, and has edited three books, published six book chapters and more than 80 scientific papers. His research interests focus on bio-inspired image analysis, deep learning convolutional neural network, biometrics, and computer-aided diagnosis. Dr. Zheng is a Cisco Certified Network Professional (CCNP).

Upcoming Presentations

Most Recent | Show All
Retrieving Data, please wait...


Most Recent | Show All
Retrieving Data, please wait...

Conference Committee Involvement

Most Recent | Show All
Retrieving Data, please wait...

Course Instructor

Most Recent | Show All
Retrieving Data, please wait...
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research