CV
General Information
| Full Name | Mohab Kishawy |
| Kishawym@mcmaster.ca | |
| Languages | Arabic (Native), English (Fluent) |
| Summary | 3rd Year Ph.D Candidate in Electrical and Computer Engineering at McMaster University working on image restoration, enhancement, and 3D vision tasks. |
| Links |
Education
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9.2023 - 8.2026 Canada
Doctor of Philosophy in Engineering, Electrical and Computer Engineering
McMaster University - GPA (11.0/12.0)
- Full Merit Scholarship
- Focus on image restoration, enhancement, and 3D vision tasks.
- Advisor: Prof. Jun Chen
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9.2018 - 6.2023 Egypt
Bachelor's of Science in Computer Engineering
Nile University (NU) - GPA (3.7/4.0) with Honors (Dean's List)
- Full Merit Scholarship
- Graduation Project: Federated learning system on autonomous vehicles for lane segmentation
- Advisor: Dr. Mohamed S. Darweesh
Work Experience
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9.2023 - now Canada
Research Assistant
McMaster University - Low Vision: Designing unified image restoration and enhancement approaches.
- 3D Vision: Harnessing 3D representations as 3D Gaussian Splatting, Neural Radiance Fields (NeRFs) for 3D reconstruction, restoration, and editing using generative models as Diffusion and flow-based models.
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9.2023 - now Canada
Teaching Assistant
McMaster University - Teaching assistant for undergraduate courses in Department of Electrical and Computer Engineering.
- Supporting students in programming, algorithms, and embedded systems courses.
- Conducting lab sessions and providing academic guidance.
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12.2021 - 12.2022 Egypt
Machine Learning Engineer
Electronics and Computer Engineering lab, Helwan University - Project: Designed an automated lab evaluation system using mouse tracking.
- Optmization: Reduced grading time by 32 hours per academic term.
- Impact: Co-authored a research article in IEEE Access and a conference paper presented at the 14th CICN.
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2.2021 - 8.2021 Egypt
Research Assistant
Wireless Intelligent Network Center, Nile University - Agriculture: Developed a plant disease detection system using a modified CNN.
- AVs: Researched and implemented a federated learning-based lane segmentation model for autonomous vehicles.
Publications
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2025 RetinexDual: Retinex-based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
- Published in arXiv
- M Kishawy, AA Hussein, J Chen
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2025 NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
- Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- X Liu, Z Wu, FA Vasluianu, CO Ancuti, C Ancuti, R Timofte, ..., M Kishawy, J Chen, ..., C Yu, et al.
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2024 Federated Learning System on Autonomous Vehicles for Lane Segmentation
- Published in Scientific Reports
- M Kishawy, MT Abd El-Hafez, R Yousri, MS Darweesh
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2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
- Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, Y Liu, X Wang, Y Zhu, G Shi, X Lu, X Fu, ZJ Zha, W Dong, H Zhou, R Wang, X Liu, G Zhai, J Chen, W Song, Y Gao, J Xiong, H Lin, X Li, D Li, M Kishawy, et al.
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2022 A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories
- Published in IEEE Access
- AM Abd El-Haleem, M Kishawy, MM Elmesalawy, HAH Hosny
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2022 A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System
- Published in 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)
- HA Hassan, M Kishawy, MM Elmesalawy, AM Abd El-Haleem
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2021 Using Machine Learning Algorithms for Breast Cancer Diagnosis
- Published in International Journal of Applied Metaheuristic Computing (IJAMC)
- MM El-Lamey, M Kishawy, M Gamal, NEM Bishady, AW Mohamed
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2021 Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford’s Stringency Index Model in MATLAB
- Published in Artificial Intelligence for COVID-19
- AM Ibrahim, NEHM Bishady, SH Elghalban, NN Mostafa, M Kishawy et al.
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2020 Modeling the Effect of Population Density on Controlling COVID-19 Initial Spread with the Use of MATLAB Numerical Methods and Stringency Index Model
- Published in 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)
- AM Ibrahim, M Kishawy, NN Mostafa, NEHM Bishady, SH Elghalban
Honors and Awards
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2025 - 2ⁿᵈ Place – NTIRE 2025 Challenge on Low-Light Image Enhancement, CVPR Workshops
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2024 - 4ᵗʰ Place – NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge, CVPR Workshops
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2023 - Full Scholarship – Ph.D. in Electrical and Computer Engineering, McMaster University (2023–2027)
- 2ⁿᵈ Place – AIC Competition for Arabic Text Summerization, Military Technical College, Egypt
- 1ˢᵗ Place Winner – Hacktrick AI Hackathon, Dell Technologies
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2022 - Best Solution Challenge Chapter (Global) – Google Developer Student Clubs
- Shield of Contribution – School of Engineering & Applied Sciences, Nile University
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2021 - Dean’s Honor List (GPA > 3.75/4.00) – Fall & Spring semesters, Nile University
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2018 - Full Scholarship – B.Sc. in Computer Engineering, Nile University (2018–2023)
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2017 - 3ʳᵈ Place (Embedded Systems) – Intel International Science and Engineering Fair (ISEF)
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2015 - Bronze Medal – Egyptian Olympiad in Informatics (EOI)
Technical Skills
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Development & Tools
- Python, C\C++, Java, MATLAB, Shell, HTML, CSS, JavaScript
- VSCode, Cursor, Terminal, XCode, PyCharm
- Google Colab, Kaggle, Hugging Face
- LaTex, Markdown, Word, Excel, PowerPoint, PDF, Overleaf
- Git, GitHub, GitLab, Jupyter Notebook
- Linux, Windows, MacOS
- Data Science, Data Engineering, Data Analysis, Data Visualization
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Artificial Intelligence
- Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, 3D Vision
- Generative Models: Diffusion Models, Flow-based Models, GANs, VAEs
- 3D Representations: Neural Radiance Fields (NeRFs), 3D Gaussian Splatting
- CNNs, RNNs, Transformers, LSTMs, Attention Mechanisms
- Time Series Analysis, Fine-tuning LLMs
- Federated Learning, Federated Learning for IoT, Flower framework
- TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, TensorBoard