Alan Bovik
Professor, Department of Electrical and Computer Engineering
Research
Research Areas:
Research Interests:
- bioECE
- Decision Information
- Communications Engineering (DICE)
Current Research:
Dr. Bovik's research interests include image and video processing, digital television and digital cinema, computational vision, and visual perception.
Research Labs & Affiliations:
- Wireless Networking and Communications Group (WNCG)
- Center for Perceptual Systems
- Telecommunications and Signal Processing Research Center
- Laboratory for Image and Video Engineering (LIVE)
- Institute for Computational Engineering and Sciences
Select Publications
Somdyuti Paul, Alan C Bovik. February 5, 2019. Image Statistic Models Characterize Well Log Image Quality. IEEE.
Z Sinno, AC Bovik. February 2019. Large-scale study of perceptual video quality.
Praful Gupta, Zeina Sinno, Jack L Glover, Nicholas G Paulter, Alan C Bovik. January 31, 2019. Predicting detection performance on security X-ray images as a function of image quality. IEEE.
S Wang, C Deng, AC Bovik, B Zhao. 2019. Blind noisy image quality assessment using subband kurtosis.
Deepti Ghadiyaram, Janice Pan, Alan C Bovik. January 2019. A subjective and objective study of stalling events in mobile streaming videos.
Awards & Honors
2019 -
IEEE Fourier Award
2018 -
Best Paper, EURASIP
2018 -
Best Paper, Picture Coding Symposium
2017 -
Edwin H. Land Medal
2017 -
Best Paper, IEEE
2017 -
Sustained Impact Paper, IEEE Signal Processing Society
2016 -
Best Paper, IEEE Circuits and Systems Society
2015 -
Joe J. King Professional Engineering Achievement Award
2013 -
Norbert Wiener Society Award
2013 -
Best Paper, IEEE Signal Processing Society