Khaled Mohamed
Khaled Mohamed received his Master's degree in Electrical and Computer Engineering in 2006 from the UKM University, Malaysia. Then he worked in Aljabal Algharbi University, Libya as an assistant lecturer from 2007 till 2010. In 2011, he traveled to the USA to start his Ph.D. program in the field of image processing.He recently received his Ph.D. degree in Electrical and Computer Engineering in Spring 2015 from the University of Dayton. His research interests comprise all aspects of image processing, including image restoration, image super-resolution and image demosaicing. Dr. Mohamed is currently involved with Dr. Hardie and Mr. Ranga in a hexagonal detector project at the University of Dayton.
Recent Publications:
1. K. M. Mohamed and R. C. Hardie, “A collaborative adaptive Wiener Filter for
Multi-Frame Super-Resolution”, Frontiers in Physics: Optics and Photonics
(Special Issue on Super-Resolution), Accepted, April 2015.
2. K. M. Mohamed and R. C. Hardie, “A collaborative adaptive Wiener filter for
image restoration using a spatial-domain multi-patch correlation model”,
EURASIP Journal on Advances in Signal Processing, 2015, 2015:6
doi:10.1186/s13634-014-0189-3. (Highly Accessed Status).
Demo: CAWF for image restoration video output
Email: mohamedk1@udayton.edu