Guoliang Fan

editor Machine Vision Beyond Visible Spectrum

February 4, 2013

Guoliang Fan was born in Xi'an, China. He received the Bachelor of Science degree in automation engineering from Xi'an University of Technology in 1993, the M.S. degree in computer engineering from Xidian University in 1996, and the Ph.D. in electrical engineering from the University of Delaware in 2001. From 1996 to 1998, he was a graduate assistant in the department of electronic engineering at the Chinese University of Hong Kong.

Since 2001, Dr. Fan has been with the School of Electrical and Computer Engineering at Oklahoma State University, where he is the Cal & Marilyn Vogt Professor of Engineering. Dr. Fan is directing the visual computing and image processing laboratory at OSU. His research interests include signal processing, image processing, machine learning, pattern recognition, computer vision, biomedical imaging and remote sensing applications. Dr. Fan is a recipient of the 2004 National Science Foundation CAREER award. He received the Halliburton Excellent Young Teacher Award in 2004, the Halliburton Outstanding Young Faculty Award in 2006 from the College of Engineering at OSU, and the Outstanding Professor Award from IEEE-OSU in 2008 and 2011. He is an associate editor of IEEE Trans. Information Technology in Biomedicine, EURASIP Journal on Image and Video Processing and ISRN Machine Vision.

The genesis of this book on Machine Vision Beyond the Visible Spectrum is the successful series of seven workshops on object tracking and classification beyond the visible spectrum held as part of the IEEE annual conference on computer vision and pattern recognition from 2004 through 2010. Machine Vision Beyond the Visible Spectrum requires processing data from many different types of sensors. The availability of ever improving computer resources and continuing improvement in sensor performance has given great impetus to this field of research. The dynamics of technology 'push' and 'pull' in this field of endeavor have resulted from increasing demand from potential users of this technology including both military and civilian entities as well as needs arising from the growing field of homeland security. Military applications in target detection, tracking, discrimination, and classification are obvious. In addition to this obvious use, Machine Vision Beyond the Visible Spectrum is the basis for meeting numerous security needs that arise in homeland security and industrial scenarios.

URL: https://library.okstate.edu/news/celebratingbooks/2013-honorees/guoliang-fan

Last Updated: 12 January 2022