Mohamed Gad

Mohamed Gad

Hello

I’m Mohamed Gad, an undergrad Systems & Biomedical Engineering student at Cairo University. I have a strong interest in Artificial Intelligence, Computer Vision, Image Processing, Software Development, and Neuroscience. I aim to leverage these skills in advancing both medical technologies and autonomous driving cars.

Interests
  • ML & DL
  • Neuroscience
  • Computer Vision
  • Image Processing
  • Autonomous Driving
Education

  • BSc in Systems & Biomedical Engineering, 2027

    Cairo University

Experience

 
 
 
 
 
University of Illinois Urbana-Champaign
Software Engineering Research Intern
University of Illinois Urbana-Champaign
May 2025 – Present
 
 
 
 
 
Cairo University Racing Team - Formula Student
Autonomous Driving System Software Engineer
Cairo University Racing Team - Formula Student
September 2024 – May 2025

Developed a visual-based perception model for the autonomous racing car by:

  • Implementing real-time 2D cone detection, color classification, and pose estimation using YOLO.
  • Developing 2D-to-3D cone pose estimation using the classical Perspective-n-Point (PnP) algorithm.
 
 
 
 
 
Emonovo
Brand Ambassador
Emonovo
April 2021 – February 2022
  • Increased brand awareness by through successful execution of promotional campaigns and events at high schools.
  • Organized and moderated virtual events to engage customers and increase brand loyalty.
  • Developed a series of videos to promote products and services.

Recent News

  • [2025.05] Started my role as a Software Engineering Research Intern at the University of Illinois Urbana-Champaign.
  • [2025.05] Selected as a finalist in the 12th Undergraduate Research and Innovation Competition hosted by Abu Dhabi University.
  • [2025.02] Promoted to Head of Perception at Cairo University Racing Team – Formula Student.
  • [2024.09] Joined the Autonomous Navigation Team at Cairo University Racing Team - Formula Student.

    • Projects

    *
    All Computer Vision Image Processing OOP
    A 3D Simulator of the Patellar Reflex and Demyelination Effects
    Built a simulator that studies the effect of demyelination on neuronal signal propagation using the Hodgkin-Huxley model and 3D visualization using Unity. The project focuses on visualizing the knee jerk reflex. The simulation captures the delayed signal transmission weaker reflex caused by demyelination.
    Tech: Unity | Python
    Code Demo Video Download
    A 3D Simulator of the Patellar Reflex and Demyelination Effects
    Cones Detection for Autonomous Driving Systems Using Classical Image Processing Techniques with OpenCV
    Tech: Python | OpenCV | NumPy
    Code
    Cones Detection for Autonomous Driving Systems Using Classical Image Processing Techniques with OpenCV
    Stocks Exchange Manager
    A Java-based platform utilizing Object-Oriented Programming (OOP) principles, designed for traders to buy and sell stocks, manage portfolios, and analyze market data within a simulated stock exchange environment.
    Tech: Java | Concepts: OOP
    Code
    Stocks Exchange Manager
    Nearest Neighbour and Bilinear Image Interpolation in Python
    This Python project implements two common image interpolation techniques; Nearest Neighbour Interpolation and Bilinear Interpolation. These techniques are useful for resizing images while preserving their quality to some extent.
    Tech: Python | NumPy | PILLOW
    Code
    Nearest Neighbour and Bilinear Image Interpolation in Python
    Bow and Arrow Game using Java and Processing
    A game built using Processing and Java that tests your precision, speed, and strategic thinking!
    Tech: Java, Processing5 | Concepts: OOP
    Code
    Bow and Arrow Game using Java and Processing

    Research Work

    Cardiac Activation Mapping using Physics-Informed Neural Networks
    Atrial fibrillation (AF), the most common heart arrhythmia, is diagnosed and treated using electro-anatomic activation maps, which currently rely on interpolation methods like linear or Gaussian process regression but are limited by noise and lack of physical knowledge of cardiac wave dynamics. To overcome these challenges, a physics-informed neural network (PINN) was developed, incorporating the underlying wave propagation dynamics of cardiac electrical activity for more accurate mapping.
    Mohamed Gad
    PDF Code Poster
    Cardiac Activation Mapping using Physics-Informed Neural Networks

    ✏️ Blog Posts

    Hardware-based Encryption
    In the first section of this blog post, I preview a very interesting paper that proposes an intriguing approach to hardware-based encryption that relies on biomemristors. In the second part, I showcase my own project, which I worked on with a teammate, where we built our own hardware-based encryption and decryption circuit based on the XOR Cipher method.
    Mohamed Gad
    May 14, 2025 5 min read
    Hardware-based Encryption
    Biological Neurons VS AI Neurons (The Perceptron)
    The main goal of this blog is to exonerate biological neurons and show that a single biological neuron is much more computationally powerful and sophisticated than you might think.
    Mohamed Gad
    Mar 28, 2025 13 min read
    Biological Neurons VS AI Neurons (The Perceptron)
    Incorporating Synaptic Current Dynamics with Hodgkin-Huxley Model to Simulate a Network of Neurons
    Simulating a single neuron is an easy task, thanks to the Hodgkin Huxley model, but simulating a network of neurons is less trivial and less documented over the internet. In this blog, We’re going to simulate a simple network of neurons. We’re going to create a model and a simulation of two neurons that interact at a synapse.
    Mohamed Gad
    Jan 26, 2025 11 min read
    Incorporating Synaptic Current Dynamics with Hodgkin-Huxley Model to Simulate a Network of Neurons
    Introduction to Physics-informed Neural Networks
    Neural networks are well-known for their ability to learn patterns from data, helping us make predictions and decisions in a variety of fields. But what if we could make these networks even smarter by teaching them to follow the rules that govern the world around us?
    Mohamed Gad
    Oct 19, 2024 6 min read
    Introduction to Physics-informed Neural Networks
    Unveiling the Brain's Rainbow: A Look at the Brainbow Technique
    Imagine a world where each cell in our bodies could be uniquely colored, allowing us to track their movements and interactions with unprecedented detail. While this might sound like science fiction, a revolutionary technique known as Brainbow has brought us closer to this reality.
    Mohamed Gad
    Oct 2, 2024 7 min read
    Unveiling the Brain's Rainbow: A Look at the Brainbow Technique

    Recent & Upcoming Talks

    Cardiac Activation Mapping Using PINNs Presentation at the 12th URIC, Abu Dhabi University
    Presented our research project titled “Cardiac Activation Mapping for Atrial Fibrillation Diagnosis and Treatment Using PINNs” at the 12th URIC hosted by Abu Dhabi University.
    May 29, 2025 1:30 PM Abu Dhabi University (Virtual)
    Slides Video Research Project
    Cardiac Activation Mapping Using PINNs Presentation at the 12th URIC, Abu Dhabi University

    Contact

    If you have any questions, or if you just want to say hi, please feel free to reach out.