صورة الملف الشخصي

Abdulelah Abdulrahim Alamri

AI Engineer & Computer Engineering Graduate

Computer Engineering graduate with First Class Honors (GPA: 4.78), passionate about building intelligent and secure systems. Experienced in AI, IoT, and cybersecurity through hands-on work on funded national and university-level projects. Strong background in deep learning, federated learning, and blockchain-based security. Skilled in both software and embedded hardware integration. Published in top-tier IEEE journals. Actively seeking opportunities to contribute to innovative solutions in AI-driven systems, smart devices, and digital security.

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About Me

Computer Engineering graduate with First Class Honors, passionate about creating innovative solutions in AI and cybersecurity.

Professional Summary

Computer Engineering graduate with First Class Honors (GPA: 4.78), passionate about building intelligent and secure systems. Experienced in AI, IoT, and cybersecurity through hands-on work on funded national and university-level projects. Strong background in deep learning, federated learning, and blockchain-based security. Skilled in both software and embedded hardware integration. Published in top-tier IEEE journals. Actively seeking opportunities to contribute to innovative solutions in AI-driven systems, smart devices, and digital security.

Education

B.Sc. in Computer Engineering

University of Tabuk, Saudi Arabia

GPA: 4.78 (First Class Honors) • Graduated: 2025

Key Interests

IoT Security Explainable AI Edge Computing Accessibility Tech

Technical Skills

Comprehensive expertise across multiple technology domains

Programming Languages

Python C++ C Bash

Machine Learning & AI

TensorFlow PyTorch Scikit-learn OpenCV Keras Pandas

Embedded Systems & IoT

Arduino Raspberry Pi ESP32 Microcontrollers Sensors Actuators

Security & Networking

Blockchain (basic) Federated Learning Intrusion Detection Systems (IDS) Networking protocols

Tools & Environments

Git Linux VSCode Jupyter Anaconda Docker (basic) Google Colab

Other Skills

Computer Vision Model Optimization Data Preprocessing Hardware-Software Integration

Featured Projects

Innovative solutions in AI, IoT security, and machine learning

DermScan – AI-Powered Skin Diagnostics Device

Patent Pending • Under Investor Interest

Designed and trained three optimized neural network models with TensorFlow Lite pruning and quantization for real-time skin disease diagnosis on edge devices. Implemented a voting ensemble mechanism to boost diagnostic accuracy across resource-constrained environments. Deployed the full AI pipeline on Raspberry Pi with offline processing capability and <50ms inference time. Awarded the Silver Medal at ITEX25; project is patent pending and currently under investor interest.

TensorFlow Lite Raspberry Pi Computer Vision Edge Computing

AI Developer • Silver Medal – International Invention, Innovation & Technology Exhibition (ITEX25)

EasyPark – Smart System for Monitoring Disabled Parking Spots

Graduation Project

Led development of an AI-based system to detect unauthorized vehicles in disabled parking spots. Integrated computer vision models with IoT hardware for real-time monitoring and alerting. Combined embedded hardware with intelligent software in a fully functional prototype. Focused on accessibility compliance and intelligent violation detection.

Computer Vision IoT AI Detection Accessibility

Team Lead & AI Developer • University of Tabuk – Graduation Project

A Deep-Learning-Integrated Blockchain Framework for Securing Industrial IoT

Funded Research

Contributed to integrating blockchain and deep learning for IIoT security. Helped with model development and experiment setup.

Blockchain Deep Learning Industrial IoT Security

Research Assistant • University of Tabuk (Funded Project)

Federated Learning for IoT Devices Facing Adversarial Threats

National Research

Designed experiments to test resilience of federated models. Co-developed prototype defense mechanisms.

Federated Learning Adversarial Defense IoT Security Cybersecurity

Researcher • Saudi National Cybersecurity Authority (Funded Project)

Publications

Published research in top-tier IEEE journals

Lightweight Fuzzy-Driven Intrusion Detection for Consumer Life-Tech Applications

IEEE Transactions on Consumer Electronics

DOI: 10.1109/TCE.2025.3569886

Federated Edge Intelligence to Secure Consumer Electronics in Healthcare Systems

IEEE Consumer Electronics Magazine

DOI: 10.1109/MCE.2025.3525537

An Intelligent and Explainable SaaS-Based Intrusion Detection System for IoMT

IEEE IoT Journal

DOI: 10.1109/JIOT.2023.3327024

Transformer-based Knowledge Distillation for Explainable IDS

Computers & Security

DOI: 10.1016/j.cose.2025.104417

Awards & Recognition

Recognition for excellence in technology and innovation

Silver Medal

ITEX25 International Invention Technology Exhibition

Malaysia, 2025

Medal of Excellence (1st Place)

National Scientific Technical Design Competition

Saudi Arabia, 2020

Silver Medal

National Olympiad for Informatics

Saudi Arabia, 2019

Get In Touch

Let's discuss opportunities and collaborations

Contact Information

abdulelahalamri36@gmail.com
+966560735936
linkedin.com/in/abdulelah-alamri
Satr.codes Profile (#10 in Python)
ResearchGate Profile

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