Featured Projects
Innovative Regenerative Braking System for Heavy‑Duty Equipment (VAGRB)
Regenerative Braking • Energy Recovery • PhD Research
PhD research project developing a variable‑air‑gap regenerative braking (VAGRB) system for heavy‑duty and vertical applications. Focuses on detailed modeling, simulation, and experimental validation targeting 15–25% energy recovery while maintaining safe, precise motion control.
- Developed dynamic models for VAGRB electromagnetic and mechanical behavior
- Simulated braking torque, temperature, and energy recovery under varying loads
- Designed control strategies for stable vertical motion and safe braking
- Preparing experimental test bench for validation of simulation results
Ship‑to‑Shore Container Cranes Automation System
Industrial Automation • PLC • HMI • SCADA
Designed and implemented an advanced automation solution for Ship‑to‑Shore container cranes with precision load control, safety interlocks, and real‑time monitoring, fully integrated with port management systems for efficient container handling.
- Engineered PLC logic for hoisting, trolley, and gantry motion with safety limits
- Developed HMI screens for operator control, diagnostics, and alarms
- Integrated crane data into SCADA and port management systems
- Improved handling efficiency and reduced operational downtime
Cement Manufacturing Plant – Full Automation Solution
Process Automation • PLC • HMI • SCADA
Delivered a complete automation system for a cement manufacturing plant, including PLC programming, HMI design, and SCADA integration to monitor and control critical processes such as raw‑material handling, kiln operation, and packaging.
- Implemented PLC logic for continuous and batch process control
- Designed HMI interfaces for process overview and alarm management
- Configured SCADA for trends, reports, and remote supervision
- Improved production stability and reduced manual intervention
Poultry Feed Production Line Automation
Industrial Automation • Monitoring • Quality Control
Built from scratch an automation system for a poultry feed production line with real‑time monitoring, quality control, and automated reporting, improving throughput, product consistency, and traceability.
- Designed control logic for mixing, dosing, and conveying stages
- Integrated sensors and alarms for process quality and safety
- Developed operator‑friendly HMI screens and trend views
- Implemented automated reports for production and downtime
YOLO-Based Traffic Light Detection System
Deep Learning • Computer Vision • Autonomous Vehicles
Developed an efficient traffic light detection and recognition system for autonomous vehicles using Convolutional Neural Networks (CNN) based on the YOLOv3 architecture. The system achieved high accuracy in real-time detection under various lighting and weather conditions, contributing to safer autonomous driving technology.
- Designed custom YOLOv3 CNN architecture for traffic light detection
- Trained model using Kaggle datasets with data augmentation
- Achieved 95%+ accuracy in real-time detection scenarios
- Published findings in peer-reviewed journal
- Created 3D visualization module for Darknet CNN architecture
Automated Control Panel for Milk Production Line
Industrial Automation • PLC • HMI • SCADA
Designed, built, and commissioned a complete automation control panel from scratch for a milk production machine at Yemen Dairy and Food Products Company. The project included PLC programming, HMI interface design, electrical wiring, and full system integration with SCADA monitoring capabilities.
- Complete electrical design using EPLAN P8 software
- PLC programming for production process control
- Custom HMI development for operator interface
- Integration with SCADA system for real-time monitoring
- On-site installation, commissioning, and training
- Reduced production downtime by 40%
Graph Neural Networks in Recommender Systems - Survey Paper
Machine Learning • GNN • Research
Comprehensive survey and analysis of recent advancements in Graph Neural Network (GNN) integration within recommender systems. The research explores various GNN architectures, their applications in collaborative filtering, and performance improvements over traditional methods.
- Systematic review of 100+ recent research papers
- Comparative analysis of GNN architectures
- Evaluation of performance metrics across different datasets
- Identification of research gaps and future directions
- Paper currently under peer review