Resume
Basics
Name | Eyad Gad |
Label | Researcher & Data Scientist |
eyad.gad@outlook.com |
Work
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2025.05 - Present AI Researcher
NORDIK Institute
- Collected, cleaned, and prepared a 10-year Twitter dataset for analysis and LLM fine-tuning
- Developed a Financial Stress Index for Canada using BERT-based NLP models
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2023.09 - 2024.12 Graduate Research & Teaching Assistant
University of Western Ontario
- Reviewed challenges of federated learning in IoT networks and developed a comparative cybersecurity approach
- Proposed a deep learning training optimization reducing training time 72% with only 1.6% accuracy loss
- TA for Computer Networks, Python, and Java courses
- Built C++ automated testing frameworks improving grading efficiency 60% for 200+ students
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2022.02 - 2023.05 Intern Researcher
Centre for Informatics Sciences
- Conducted research on Alzheimer’s disease detection and breast cancer ultrasound segmentation
- Improved baseline Alzheimer’s study accuracy by 10% (published at MEDI)
- Applied federated learning with CNN segmentation achieving 96% accuracy (published at MIUA)
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2021.06 - 2021.09 Intern AI & Embedded Software Developer
Delta Care
- Implemented a temperature controller in C to regulate sperm sample temperature
- Optimized interprocess communication (Python↔C, C++↔C) reducing response delay 78%
- Applied YOLOv5 + DeepSORT for sperm motility tracking achieving 91% accuracy
- Used Mask R-CNN for sperm morphology instance segmentation achieving 87% accuracy
Education
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2023.09 - 2024.12 Ontario, Canada
Master of Science
University of Western Ontario
Computer Science
- Smart Cyber-Physical Systems
- Theoretical Machine Learning
- Networks Security
- Convex Optimization
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2018.09 - 2023.05 Giza, Egypt
Skills
Programming Languages | |
Python | |
C/C++ | |
Java | |
SQL |
Data Science & AI | |
Data Science | |
Computer Vision | |
Federated Learning | |
LLM |
Backend & Cloud | |
Flask | |
Django | |
FastAPI | |
PySpark | |
Git | |
GCP | |
AWS | |
Docker |
Computer Systems | |
Embedded Systems | |
IoT | |
IC Digital Design |
Computing & Networking | |
Socket Programming | |
Parallel Computing | |
Threading | |
Multiprocessing |
Projects
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Federated Learning Based IoT Attack Detection
- Enhanced model robustness against data heterogeneity
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Advanced Lane Detection Based on Digital Image Processing
- Improved road marking detection for autonomous systems
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Brain Tumor Segmentation via 3D U-Net
- Improved segmentation accuracy using advanced deep learning techniques
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Breast Cancer Segmentation Using UNet and FedProx
- Enhanced model robustness against non-IID data
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GUI-Based Shopping System with Database Integration
- Enhanced user interface design and improved database operations
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Multi-Node Messaging System
- Implemented efficient messaging protocols for enhanced connectivity
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Digital IC Design of 4-bit CMOS-based ALU
- Used Cadence tools for design and simulation
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8086-Based Reverse Polish Notation Calculator
- Developed using assembly language
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Power Supply Circuit Design and Implementation
- Improved circuit stability and voltage regulation
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IoT-Based Smart Home System with Cloud Interface
- Implemented using Jetson Nano and cloud APIs
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IoT-Based Smart LED Control System
- Implemented efficient remote control using cloud connectivity