CV

General Information

Full Name Mohab Kishawy
Email 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

Work Experience

  • 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.
  • 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.
  • 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.
  • 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

Honors and Awards

  • 2025
    • 2ⁿᵈ Place – NTIRE 2025 Challenge on Low-Light Image Enhancement, CVPR Workshops
  • 2024
    • 4ᵗʰ Place – NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge, CVPR Workshops
  • 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
  • 2022
    • Best Solution Challenge Chapter (Global) – Google Developer Student Clubs
    • Shield of Contribution – School of Engineering & Applied Sciences, Nile University
  • 2021
    • Dean’s Honor List (GPA > 3.75/4.00) – Fall & Spring semesters, Nile University
  • 2018
    • Full Scholarship – B.Sc. in Computer Engineering, Nile University (2018–2023)
  • 2017
    • 3ʳᵈ Place (Embedded Systems) – Intel International Science and Engineering Fair (ISEF)
  • 2015
    • Bronze Medal – Egyptian Olympiad in Informatics (EOI)

Technical Skills

  • 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
  • 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