headshot photo of Dr. Mohamed Allali

Dr. Mohamed Allali

Associate Professor
Schmid College of Science and Technology; Mathematics and Computer Science
Office Location: Von Neumann Hall 101
Phone: (714) 744-7619
Scholarly Works:
Digital Commons
Education:
University of Oklahoma, Bachelor of Science
University of Oklahoma, Master of Arts
University of Oklahoma, Ph.D.

Recent Creative, Scholarly Work and Publications

J. A. Le, H. M. El-Askary, M. Allali, D. C. Struppa, “Application of recurrent neural networks for drought projections in California”, Atmospheric Research, 2017, Volume 188, pp 100-106.
C. Martin and M. Allali, “Automatic Damaged Region Detection and Inpainting Method for Digital Images,” Int’l Conf. IP, Comp. Vision and Pattern Recognition Proceedings, IPCV16, pp 14-20.
C. Martin and M. Allali, “Utilizing Discrete Wavelet Decomposition as an Effective Alternative to Watermarking,” Int’l Conf. IP, Comp. Vision and Pattern Recognition Proceedings, IPCV15, pp 132-138.
D. Bui and M. Allali, “The Bernoulli Family”, Chapman e-Research Journal, Vol. 2, No 2 (2011), pp. 65-75.