Biomedical Engineering Student | Computer Vision & Medical AI Enthusiast | Embedded Systems Developer
Final-year Biomedical Engineering and Systems student at Cairo University with interests spanning computer vision, medical visualization, machine learning, embedded systems, and assistive technologies.
I enjoy building systems from the ground up: from mathematical models and algorithms to interactive software and hardware prototypes.
- 🥇 Award of Excellence — IEEE VIS 2025 Bio+MedVis Challenge Paper / Program Link
- 🥇 1st Place — 15th Undergraduate Research Competition, Cairo University
- 📄 Lead author of MRSight, a novel visualization methodology for MRS data assessment
A novel ratio-weighted visibility graph methodology for Magnetic Resonance Spectroscopy assessment.
Highlights
- Represents metabolites as graph nodes and intensity relationships as weighted edges
- Introduces a visualization-based framework for complex spectral interpretation
- Presented at IEEE VIS 2025 Bio+MedVis Challenge
Technologies: Python, Data Visualization, Graph Theory
A collection of computer vision algorithms implemented from scratch to study mathematical foundations, parameter sensitivity, and algorithmic behavior.
Implemented
- SIFT
- Harris Corner Detection
- Feature Matching (SSD / NCC)
- K-Means
- Mean Shift
- Agglomerative Clustering
- Region Growing
- Otsu Thresholding
- Spectral Thresholding
- Hough Line & Circle Detection
Technologies: Python, NumPy, PyQt5, Matplotlib
An intelligent rehabilitation hand exoskeleton featuring machine learning-based gesture recognition and adaptive impedance control.
Results
- 85.5% gesture classification accuracy
- 0.06 MAE for contraction intensity estimation
Technologies: ESP32, TensorFlow, Scikit-Learn, C++, Python
Custom CUDA kernels designed to accelerate mathematical workloads and image segmentation tasks.
Result
- ~10× speedup over sequential CPU execution
Technologies: CUDA, C++, Qt
A SolidWorks-integrated platform for automated environmental impact assessment and optimization using Eco-Indicator 99.
Results
- 53% improvement in EI99
- 98% reduction in optimization time
Technologies: Python, SolidWorks API, PyQt6
Comparative evaluation of A*, Voronoi Potential Fields (VPF), and Sandwich Approaches in simulated environments.
Focus
- Path safety
- Obstacle clearance
- Computational complexity
- Navigation efficiency
A simulation platform for phased-array beam steering and radiation pattern visualization.
Technologies: Python, NumPy, Matplotlib
Building intelligent systems at the intersection of engineering, computation, and healthcare.
