Mohab Kishawy
Third Year Ph.D. Researcher & Teaching Assistant at McMaster University.
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. |
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| 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
- VisionRetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image RestorationIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026
- VisionRetinexDual: Retinex-based Dual Nature Approach for Generalized Ultra-High-Definition Image RestorationIn Proceedings of the 28th International Conference on Pattern Recognition (ICPR), 2026
- VisionFederated learning system on autonomous vehicles for lane segmentationScientific Reports, Oct 2024
- MLA generic AI-based technique for assessing student performance in conducting online virtual and remote controlled laboratoriesIEEE Access, Oct 2022