PhD in Manufacturing Automation | Assistant Teacher | Specializing in PLC, HMI, SCADA Systems & Deep Learning Applications, Digital Twins
An experienced Automation Engineer with expertise in industrial control systems, deep learning, and embedded systems.
I hold a Master's degree in Industrial Automation and a Bachelor's in Computer Engineering. Now I am doing my PhD in Manufacturing Automation. My professional journey spans teaching, research, and hands-on industrial automation projects involving PLC, HMI, and SCADA systems.
Currently serving as an Assistant Teacher at Hodeidah University while working on cutting-edge research in AI-powered systems and graph neural networks for recommender systems.
Xi'an, China
Focus on regenerative braking systems, digital twins, and intelligent manufacturing.
Dawood University of Engineering and Technology (DUET)
Research Methodologies, Computer Vision, Pattern Recognition, Six Sigma, Modeling & Simulation, Industrial Instrumentation.
University of Hodeidah
Programming, Computer Architecture, Digital Logic, Embedded Systems, PLC & SCADA, Electronics, Aerospace Applications.
Hodeidah University, IT Department
Teaching university-level courses in image processing, programming (C++, C#, Assembly), analog & digital electronics, embedded systems, computer architecture, and Android development.
Yemen Dairy and Food Products Company
Designing, programming, and commissioning automated control panels. PLC, HMI, and SCADA systems for industrial machinery. 50+ control panels designed and commissioned.
Yemen Dairy and Food Products Company
Electrical control panel design, installation, and maintenance. Power station projects and troubleshooting.
Yemen Dairy and Food Products Company
Operated steam boilers and air compressors, monitoring, controlling, and maintaining critical industrial machines.
DUET & SPE International
2022Sukkur IBA University
2022Professional Certification
2020Hodeidah University
2019Yemen Dairy & Food Products
2018
PhD research: variable-air-gap regenerative braking for heavy-duty equipment, targeting 15–25% energy recovery.
Advanced automation for STS cranes with precision load control, safety interlocks, and real-time monitoring.
Complete automation solution for cement plant — PLC, HMI, SCADA for raw material handling, kiln, and packaging.
End-to-end automation with real-time monitoring, quality control, and automated reporting for feed production.
CNN-based detection system for autonomous vehicles using YOLOv3. 95%+ accuracy in real-time scenarios.
Comprehensive survey of GNN integration in recommender systems. Review of 100+ papers with comparative analysis.
Complete control panel from scratch — PLC, HMI, SCADA, wiring, commissioning. Reduced downtime by 40%.
Temperature/humidity monitoring, motor speed control, data acquisition, custom PCB design for teaching and industry.
Designed 10+ solar PV systems (2kW – 20kW). Sizing, inverter config, battery storage, ROI analysis.
Educational and personal apps: SQLite, REST APIs, Material Design, Firebase, sensor-based apps.
International Journal Publication, 2023
An efficient traffic light detection and recognition system for autonomous vehicles using YOLOv3 CNN architecture. Achieved 95%+ real-time detection accuracy under varying lighting and weather conditions.
Under Peer Review, 2024
Systematic review and comparison of GNN architectures in recommender systems. Covers collaborative filtering, graph-based approaches, and performance evaluation across 100+ recent papers.
I'm available for consultations, remote projects, and collaboration opportunities. Whether you need automation solutions, technical consultations, or research collaboration, feel free to reach out.
"Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work."