• Hello!

    I'm Eyad Gad

    I hold Master's degree in Computer Science (AI)
    from Western University


  • About Me

    Eyad Gad

    I recently completed my Master's degree in the Department of Computer Science
    at The University of Western Ontario, under the supervision of Dr. Zubair Fadlullah.


    Previously, I received my BSc degree in Computer Engineering from Nile University, Egypt in 2023,
    with my thesis focusing on applied AI in the medical field under the supervision of Dr. Mohamed Darweesh.
    I have joined the Center for Informatics Sciences (CIS) as a junior research assistant under the supervision
    of Dr. Sahar Selim, and Dr. Mustafa Elattar. My research interests revolve around Artificial Intelligence and its applications in wireless communications, the Internet of Things (IoT), and healthcare.


    Beyond my academic pursuits, I enjoy being physically active through walking, running and cycling. I also enjoy listening to Rock, Metal, Orchestras, and Classical music.

  • University of Western Ontario

    M.Sc. in Computer Science (AI)
    Canada, Sep 2023 – Dec 2024

    • Supervision:Dr. Zubair Fadlullah
    • Research Area: AI, Wireless Networks
    • Thesis: Combating IoT Attacks in AI-Driven Networks via Robust and Resource-Efficient Federated Learning
    • Grade: 87%

    Nile University

    B.Sc. in Computer Engineering
    Egypt, Sep 2018 – May 2023

    • Supervision:Dr. Mohamed Darweesh
    • Thesis: Brain Tumor 3D Segmentation Based on MRI
    • Grade: GPA of 3.51/4.0
  • Research

    My research interests include Machine Learning, Deep Learning, Federated Learning,and their applications in

    • Wireless Networks (current research)
    • Internet of Things (IoT)
    • Healthcare


    Recent studies (view more)

    • AD

      MEDI2022

      A Novel Diagnostic Model for Early Detection of Alzheimer’s Disease Based on Clinical and Neuroimaging Features

    • BC

      MIUA2023

      A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx

    • brats

      MEDI2023

      Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing



  • Experience (to be updated soon!)

    This section presents my professional experience in the field of AI, Software Development, Embedded Systems, and IoT.

    exp
  • Get in touch