The Senior Design Project course in Electrical Engineering provides students with the opportunity to apply their theoretical knowledge and technical skills to real-world engineering challenges. In this capstone course, students work in teams to conceive, design, and implement an innovative project that addresses a specific problem in the field. Emphasizing practical application, collaboration, and project management, students engage in all phases of the design process, including research, prototyping, testing, and presentation. This course prepares graduates for professional practice by fostering critical thinking, creativity, and teamwork in an engineering context.
Resources and Guidelines
Final Report Template
Rubric for Midterm Report Evaluation
Rubric for Midterm Presentation Evaluation
Rubric for Final Report Evaluation
Rubric for Final Presentation Evaluation
Grade Distribution
Offered Projects for Term 251
| Instructor | Title and Description | Link | |
|---|---|---|---|
| Dr. Moustafa M. Nasralla |
Emotion-Aware Smart Workspace Assistant: This project builds an AI-powered workspace assistant that reads facial expressions to classify emotional states such as stress, fatigue, or happiness. Based on detected mood, it dynamically adjusts environment settings such as lighting, air quality, or plays relaxing tones, using sensors controlled via Arduino. |
Link | |
| Dr. Mahajan Sagar Bhaskar |
A Dual-Source High-Gain DC-DC Converter with Priority-Based Energy Management.: This project aims to design a high-gain DC-DC converter that effectively combines two renewable energy sources (such as solar PV and batteries). The intelligent priority-based energy management control algorithm dynamically chooses the best power source based on availability, load demand, and battery state of charge (SoC), while the converter guarantees high voltage gain to match load voltage, solar/storage requirements. |
Link | |
| Dr. Walid Dyab |
Smart Feed System for Enhanced Radio Telescope Performance: This senior design project focuses on developing a smart feed system for radio telescopes, aimed at significantly improving signal detection and data collection capabilities. The project will involve the integration of advanced sensors and adaptive algorithms to optimize the focus and sensitivity of radio telescopes. The smart feed system will automatically adjust to various observational conditions, enhancing the quality and reliability of astronomical data reception and analysis. |
Link | |
| Dr. Maged Abdullah |
Irrigation System using IoT: This project involves designing and implementing an automated irrigation system utilizing IoT technologies. The system will enable efficient water management by monitoring soil moisture levels, weather conditions, and water usage in real time. Students will analyze the problem, define constraints, and develop a prototype using IoT devices such as sensors, controllers, and communication modules. The project includes simulations, hardware implementation, and a final demonstration of the working system. |
Link | |
| Dr. Mourad Rizk |
Modular Wireless Telemetry and Sensor Analytics System for Field Applications: Modern field applications such as energy-efficient vehicles, industrial equipment, and smart infrastructure require real-time monitoring of multiple operational parameters. These systems benefit from a modular, wireless, and scalable sensor telemetry platform that transmits measurements to a central unit for live analysis, safety alerts, and performance optimization. |
Link | |
| Dr.Mahmoud Abdelrahim |
PLC-based Intelligent Traffic Control System For Smart Cities: This project aims to design and implement an intelligent traffic control system using PLC to optimize vehicular movement at intersections. The system will apply logic-based automation to dynamically adjust traffic light sequences based on traffic density. The project aligns with smart city initiatives and introduces students to applications of automation in real life scenarios. |
Link | |
| Dr. Moustafa Nasralla |
Smart Gesture-Controlled Home Automation System: This project implements a gesture-controlled smart home automation system using a camera with Raspberry Pi to detect hand gestures. The Arduino monitors environmental parameters (e.g., gas, motion, light, temperature) and communicates with the Pi via UART. Users can control lights, fans, and other devices using hand gestures, without needing physical contact. |
Link | |
| Dr. Moustafa Nasralla |
Hand Gesture-Controlled Robotic Arm for Physically Challenged Users: This project involves designing a robotic arm controlled through hand gestures captured by a camera. The Raspberry Pi interprets gestures and sends commands to an Arduino, which controls servos in the robotic arm. This assistive technology aims to empower physically challenged users. |
Link |
Accomplished Projects
| Instructor | Student Names | Project Title | Term | Details | |
|---|---|---|---|---|---|
| Dr. Moustafa M. Nasralla | Abdulrahman Fawaz Gherbal, Talal Mohammed Alnassar, Waleed Almousa | Smart Parking System with Live Space Availability | 241 | Link | |
| Dr. Moustafa M. Nasralla | Khalid Abodayeh, Saud Al-Saif, Saleh Baras | Solar-Powered Dual Battery System and Automated Battery Management for Golf Carts | 241 | Link | |
| Dr. Muddesar Iqbal | Saleh Alhudaif, Ahmad Alhomsi, Musaed Almukirish | Decision Support System for Context Aware Collborative Charging for Unmanned Ground Vehicles | 232 | Link | |
| Dr. Walid Dyab | Nawaf Alharbi, Abdulkarim Ajaj, Hussam Albaida | Brushless Direct Current Motor Controller | 231 | Link | |
| Dr. Walid Dyab | Mahjoub Mutaz, Abdulrahman Sawlan, Mohammed Alghamdi, Saleh Adham | Solar Panel Auto-Clean Design Project | 231 | Link | |
| Dr. Umashankar Subramaniam | Abdulelah Alyemeni, Talal Alsharif | Solar Photovoltaic Battery charging system for Microgrid Applications | 222 | Link | |
| Dr. Umashankar Subramaniam | Abdulrahman Ghanem, Abdulrahman Alzeer | Solar-based smart water pumping system for irrigation application | 222 | Link |