Mohamad Hittawe, PhD

Postdoctoral Fellow

Research Interests

​Dr. Hittawe's research interests are in the area of machine learning, Image processing, pattern recognition and deep learning. In the past, he has worked on Computer vision in the areas of Industrial image analysis (defects Detection and classification), Video processing (Anomalies detection in video), Bio-medical image processing (Microscopy Images), Visual servoing (Catadioptric image sequences), Signal Processing ( ECG Denoising and Waves Localization). He is currently focusing on the research of detecting and localizing extremes in the Red Sea using deep learning.

Selected Publications

Abnormal event detection using convolutional neural networks and 1-Class SVM classifier
S. Bouindour, M.M. Hittawe, S. Mahfouz, H. Snoussi
ICDP 2017

Machine vision for timber grading singularities detection and application
M.M. Hittawe, D. Sidibe, F. Meriaudeau
Journal of Electronic Imaging, 2017

Fast earth mover’s distance computation for catadioptric image sequences
O. Tahri, M. Usman, C. Demonceaux, D. Fofi, M.M. Hittawe

Electrocardiogram signal analysing: Delineation and localization of ECG component
O. Beya, M.M. Hittawe, K. Zegadi, E. FAUVET, O. Laligant

Multiple features extraction for timber defects detection and classification with SVM
M.M. Hittawe, S. M. Muddamsetty, D. Sidibe, F. Meriaudeau


  • ​PhD. (Artificial intelligence), University of Bourgogne, Dijon, France, 2016
  • M.Sc. (Computer Science), École polytechnique, Tours, France, 2012

Professional Profile

  • ​2017-Present: Postdoctoral fellow, CEMSE, KAUST, Thuwal, Saudi Arabia