Autonomous Self-Driving Agent
Perception pipeline utilizing OpenCV, DBSCAN, and RANSAC achieving 99.97% lane boundary accuracy with PID trajectory controller.
Matthew Nader Fawzy — Communication and Information Engineer
Communication and Information Engineer | Computer Vision, AI, Robotics & Software
Matthew Nader Fawzy is an Egyptian communication and information engineer specializing in computer vision, artificial intelligence, robotics, and software engineering. He has worked on computer vision and robotics projects and has participated in international robotics and engineering competitions. His work includes machine learning, object detection, image processing, Python, C++, OpenCV, WebAssembly, and related technologies.
About Matthew Nader Fawzy
Matthew Nader Fawzy is a Communication and Information Engineer passionate about high-performance computing, computer vision, autonomous robotics, and compiler design. He has led software and computer vision sub-teams in international engineering competitions (MATE ROV, Robofest, FIRST LEGO League) and created high-performance simulation tools and embedded systems.
Education
University of Science and Technology at Zewail City (Zewail City of Science and Technology)
Degree: Bachelor of Science in Computer Science and Engineering (CSE) / Communication and Information Engineering
Expected Graduation: June 2027
Focus Areas & Technical Skills
- Computer Vision & AI: OpenCV, PyTorch, YOLO (v5-v11), Detectron2, SIFT, Image Processing, Object Detection, Instance Segmentation
- Autonomous Robotics: Underwater ROV Systems, MATE ROV, ROS2, Sensor Interfacing, PID Trajectory Control, Embedded Firmware
- Systems & Languages: C, C++, Python, Rust, WebAssembly (WASM), Three.js, JavaScript, TypeScript, Linux Kernel, Assembly x86/ARM
- Tools & Platforms: Git, Docker, Firebase / Firestore, Google Cloud, PIC Microcontrollers, CMake, Flex & Bison
Honors & Awards
- 1st Place — MATE ROV Regional Competition (June 2021)
- 2nd Place — MATE Machine Learning Computer Coding Challenge (July 2021)
- 6th Place — MATE ROV International Championship (July 2021)
- 3rd Place — MATE ROV Regional Competition (June 2022)
Featured Projects by Matthew Nader Fawzy
CPU Process Scheduler Simulator
Low-level C simulation comparing core CPU scheduling algorithms (HPF, Round Robin, SRTN) with inter-process communication.
Coral Reef Health Monitoring AI
Automated marine biology computer vision pipeline tracking coral reef health and bleaching via SIFT feature matching and homography.
Underwater Marine Debris Classifier
AI-powered computer vision system detecting and classifying submerged debris from ROV streams using YOLO and deep learning.
Crab Shell Biometric Width Estimation
Computer vision system estimating crab shell dimensions from underwater ROV footage using Detectron2 instance segmentation.
3D WebAssembly Interactive Terminal Portfolio
Custom C compiler with Flex/Bison compiled to WebAssembly with 60 FPS Three.js CRT 3D rendering and real-time mesh occlusion.
Sudoku Solver & Engine in Rust
High-speed solver utilizing bit manipulation, backtracking search, and constraint propagation in Rust.
Official Profiles & Contact Information
Email: matthewnader2@gmail.com
Official Portfolio: https://matthew-nader.web.app/
GitHub: https://github.com/MatthewNader2
LinkedIn: https://www.linkedin.com/in/matthew-nader-11b57b1a5/
Wuzzuf Profile: https://wuzzuf.net/me/Matthew-Nader-6464401c16
Wikidata Entity: https://www.wikidata.org/wiki/Q141257516