Amr Abdel-Dayem

Amr Abdel-Dayem received his B.Sc. degree in Computer Science and Automatic Control Engineering from Alexandria University, Egypt in 1993.  He received his M.Sc. degree in Intelligent Control Systems from the Arab Academy for Science and Technology, Alexandria, Egypt in 2001.  Besides his research activities, Amr has gained a rich experience in the computer systems development, while working in the computer industry during the period from 1993 till 2002.

Amr obtained his Ph.D. from the Computer Science Department at the University of Western Ontario in 2007.

Since January 2008, Amr is a faculty member with the Department of Mathematics and Computer Science at Laurentian University.

Amr has been a member of the Professional Engineers Ontario (PEO) since 2011.

• B.Sc. Computer Science and Automatic Control Engineering, Alexandria University 1993
• M.Sc. Intelligent Control Systems, Arab Academy for Science and Technology 2001
• Ph. D. Computer Science Department, University of Western Ontario 2007

• Content-Aware Image Resizing
• Medical Imaging
• Computer Aided Diagnostic
• Image Segmentation
• Image Understanding and Enhancement
• Clustering and Pattern Recognition
• Fuzzy Systems and Applications

• Source Camera Identification in Digital Image Forensics

                Type of Funding:        Laurentian University Research Fund (LURF)
                Source of Funding:    Laurentian University
                Period:                         May 2018-May 2020
                Responsibility:            Principal investigator

• Image Segmentation and Understanding

                Type of Funding:       Discovery Grant
                Source of Funding:    Natural Sciences and Engineering Research Council (NSERC) of Canada
                Period:                         April 2011-April 2017
                Responsibility:            Principal investigator

• Medical Image Analysis

                Type of Funding:        Laurentian University Research Fund (LURF)
                Source of Funding:    Laurentian University
                Period:                         May 2009-May 2011
                Responsibility:            Principal investigator

• Startup Fund

                Type of Funding:        Startup Grant
                Source of Funding:    Laurentian University
                Period:                         January 2008- January 2011
                Responsibility:            Principal investigator

Journals:

1. André Smith and Amr Abdel-Dayem, "A Comparison of Image Data Representations for Local Stereo Matching", International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol:11, No:2, pp. 249-255, 2017.​
2. Benjamin Anderson-Sackaney and Amr Abdel-Dayem, "Evaluation of Sensor Pattern Noise Estimators for Source Camera Identification", International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol:10, No:12, pp. 2067-2070, 2016.
3. André Smith and Amr Abdel-Dayem, "A Developmental Survey of Local Stereo Matching Algorithms", International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol:10, No:8, pp. 1465-1471, 2016.
4. Sofia. Matoug and Amr Abdel-Dayem, "Clustering-Based Detection of Alzheimer's Disease Using Brain MR Images", International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol:10, No:5, pp. 815-820, 2016.​
5. M. Saadatseresht, R. Talebi, J. Johnson, and A. Abdel-Dayem, "Practical Issues for Binary Code Pattern Unwrapping in Fringe Projection Method", book series Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition, Elsevier, pp. 561-581, 2015.
   
6. R. Talebi, J. Johnson, A. Abdel-Dayem, and M. Saadatseresht, "Multi-Wavelength vs. Binary Code Pattern Unwrapping in Fringe Projection Method", Journal of Communication and Computer, Vol. 11, pp. 291-304, March 2014.
   
7. S. Wang and A. Abdel-Dayem, "Integrated Content-aware Image Retargeting System", International Journal of Multimedia and Ubiquitous Engineering, Vol.7, No.4, pp. 1-16, October 2012.
   
8. S. Matoug and A. Abdel-Dayem, "Implementation of Segmentation Methods for the Diagnosis and Prognosis of Mild Cognitive Impairment and Alzheimer Disease", Journal of Physics, No. 341, (2012).
   
9. S. Matoug, A. Abdel-Dayem, K. Passi, W. Gross and M. Alqarni, "Predicting Alzheimer’s disease by classifying 3D-Brain MRI images using SVM and other well-defined classifiers", Journal of Physics, No. 341, (2012).
   
10. A. Abdel-Dayem and M. El-Sakka, "Coarse Segmentation of Suspicious Tissues in Digital Mammogram Images using Bayesian-Based Threshold Estimation", International Journal for Computational Vision and Biomechanics, Vol. 3, No. 1, pp. 41-59, 2010.
    
11. A. Abdel-Dayem and M. El-Sakka, "Segmentation of Carotid Artery Ultrasound Images Using Graph Cuts", International Journal for Computational Vision and Biomechanics, Vol. 3, No. 1, pp. 61-71, 2010.
    
12. A. Abdel-Dayem and M. El-Sakka, "Carotid Artery Contour Extraction from Ultrasound Images Using Multi-Resolution-Analysis and Watershed Segmentation Scheme", ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 5, Issue 9, pp. 1–10, December. 2005.

Conference Proceedings:

1. R. Talebi, J. Johnson, and A. Abdel-Dayem, "Binary Code Pattern Unwrapping Technique in Fringe Projection Method", Proceedings of the 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'13), July 2013, Las Vegas, USA.
   
2. R. Talebi, A. Abdel-Dayem, and J. Johnson, "3-D Reconstruction of Objects Using Digital Fringe Projection: Survey and Experimental Study", Proceedings of the International Conference on Image Processing, Analysis and Computer Vision ICIPACV 2013, Vol.78, pp.742 - 751, June 2013.
   
3. S. Wang and A. Abdel-Dayem, "Improved Viola-Jones Face Detector", Proceedings of Taibah University International Conference on Computing and Information Technology (ICCIT 2012), vol. 1, pp. 123-128, 2012.
   
4. S. Wang and A. Abdel-Dayem, "Improved Context-Aware Saliency Using Local Search Window", Proceedings of ICGST International Conference on Computer Science and Engineering, pp. 149-154, December 2011.
   
5. A. Abdel-Dayem, "Level set framework for detecting arterial lumen in ultrasound images", Proceedings of Computational Vision and Medical Image Processing, VIPIMAGE 2011, pp. 267-272, October 2011.
   
6. S. Wang and A. Abdel-Dayem, "Image retargeting using non-uniform scaling with adaptive local search window", Proceedings of the International Conference on Graphic and Image Processing, ICGIP 2011, SPIE Conference Series, vol. 8285, 2011.
   
7.  A. Abdel-Dayem, "Detection of Arterial Lumen in Sonographic Images Based on Active Contours and Diffusion Filters", Proceedings of the International Conference on Image Analysis and Recognition, ICIAR 2010, June 2010, LNCS 6112, pp. 120-130, Springer-Verlag Berlin Heidelberg.
   
8. A. Abdel-Dayem and M. El-Sakka, "Diffusion-based Detection of Carotid Artery Lumen from Ultrasound Images", Proceedings of the International Conference on Image Analysis and Recognition, ICIAR 2009, July 2009, LNCS 5627, pp. 782-791, Springer-Verlag Berlin Heidelberg.
   
9. A. Abdel-Dayem and M. El-Sakka, "Fuzzy c-means clustering for segmenting Carotid Artery Ultrasound Images", Proceedings of the International Conference on Image Analysis and Recognition, ICIAR 2007, August 2007, LNCS 4633, pp. 935 – 948, Springer-Verlag Berlin Heidelberg.
   
10. A. Abdel-Dayem and M. El-Sakka, "Multi-Resolution Segmentation Using Fuzzy Region Growing for Carotid Artery Ultrasound Images", Proceedings of the IEEE International Computer Engineering Conference, 8 pages, December 2006.
    
11. A. Abdel-Dayem and M. El-Sakka, "Fuzzy Entropy Based Detection of Suspicious Masses in Digital Mammogram Images", Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, pp. 4017 – 4022, September 2005.
    
12. A. Abdel-Dayem and M. El-Sakka, "Carotid Artery Ultrasound Image Segmentation Using Fuzzy Region Growing", Proceedings of the International Conference on Image Analysis and Recognition, ICIAR 2005, September 2005, LNCS 3656, pp. 869 – 878, Springer-Verlag Berlin Heidelberg.
    
13. A. Abdel-Dayem, M. El-Sakka, and A. Fenster, "Watershed segmentation for carotid artery ultrasound images", Proceedings of the IEEE International Conference on Computer Systems and Applications, pp. 131-138, January 2005.
    
14. A. Abdel-Dayem, A. Hamou and M. El-Sakka, "Novel Adaptive Filtering for Salt-and-Pepper Noise Removal From Binary Document Images", The 1st International Conference on Image Analysis and Recognition, ICIAR 2004, September 2004, LNCS 3212, pp 191-199, Springer-Verlag Berlin Heidelberg.
    
15. A. Abdel-Dayem and M. El-Sakka, "A novel morphological-based carotid artery contour extraction", Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, Vol. 2, pp. 1873-1876, May 2004.