Mohab Kishawy

Third Year Ph.D. Researcher & Teaching Assistant at McMaster University.

prof_pic.jpg

Room A202 Information Technology Building

1280 Main St W, Hamilton,

ON, Canada L8S 0A1

Biography

I am Ph.D. Researcher in Department of Electrical and Computer Engineering at McMaster University, Canada, under the supervision of Dr. Jun Chen.

Previously, I finished my undergraduate study at Nile University, Egypt, where I did my thesis on Federated Learning in AV. During this time, I worked as a Machine Learning Researcher at Helwan University under the mentorship of Dr. Mahmoud M. Elmesalawy, and a Research Assistant at Wireless Intelligent Network Center, Nile University under the mentorship of Dr. Mohamed S. Darweesh.

Research Interests

My research focus includes Image/3D Restoration, Reconstruction, and Editing.

Latest News

Apr 12, 2026 RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration accepted to CVPR 2026 Workshops.
Mar 31, 2026 RetinexDual accepted to the 28th International Conference on Pattern Recognition (ICPR) 2026. See you in Lyon, France!
Mar 17, 2026 Secured 4th Place in NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images and 5th place in NTIRE 2026 Joint Denoising and Low Light Image Enhancement Challenge. Work published in CVPRW 2026.
Oct 01, 2025 Finished my 2nd Ph.D. Supervisory Committee Meeting in 2025.
May 30, 2025 I’ve successfully passed my comprehensive PhD examination at McMaster University!

Selected Publications

  1. Vision
    RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration
    M. Kishawy and J. Chen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026
  2. Vision
    RetinexDual: Retinex-based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
    M. Kishawy, A. A. Hussein, and J. Chen
    In Proceedings of the 28th International Conference on Pattern Recognition (ICPR), 2026
  3. Vision
    Federated learning system on autonomous vehicles for lane segmentation
    M. M. Eid Kishawy, M. T. Abd El-Hafez, R. Yousri, and M. S. Darweesh
    Scientific Reports, Oct 2024
  4. ML
    A generic AI-based technique for assessing student performance in conducting online virtual and remote controlled laboratories
    A. M. Abd El-Haleem, M. M. Eid, M. M. Elmesalawy, and H. A. Hosny
    IEEE Access, Oct 2022