Senior Design Project Showcase

Students often complete their entire degree without the chance to display the remarkable work they can accomplish. In 2010, the Senior Design Project Showcase was established with a primary objective: to link our talented students with professionals in their respective fields to showcase their industry-level work. These industry experts provide valuable real-world feedback on various year-long projects developed from the knowledge and dedication that students acquire while pursuing their degrees. This event has evolved into an engaging college tradition where more than 40 student groups present their projects and pitch them to industry experts, creating an open forum for the public to be inspired.

2024 SDPS Brochure

SDPS 2023 Grand Prize Winner

Pure Shear / The Pure Shredder

Faculty Advisor: Prof. Gus Elias

Department: Manufacturing Systems Engineering and Management

The Pure Shear product line is the newest innovation in convenience, sustainability, and recycling. The Pure Shredder allows households, schools, hospitals, and more outlets to recycle single-use water bottles and plastics. Users can place plastic water bottles into the device and have it shredded into small granules, then recycled through many venues. We aim to make recycling accessible and convenient for all while preserving and sustaining the environment for future generations.

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The Glass House

Faculty Advisor: Dr. Tadeh Zirakian

Department: Civil Engineering and Construction Management

The Glass House is a structural, architectural, and environmental project. This project is a 3-story home with an all-glass exterior and an atrium in the middle. The project executes a fully functional home designed from beginning to end, replicating the real-world process of what an engineer does. The Glass House will showcase everything a civil engineering major has learned through their years of studying, from the use of statics to foundations. Along with structural and architectural designs, the home has LEED aspects incorporated into it, allowing for a more environmentally friendly house.

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Alpha Vision / 200 Vermont

Faculty Advisor: Dr. Anwar Alroomi

Department: Civil Engineering and Construction Management

This project is a 6-story mid-rise comprising 5 stories of type III-A residential over 1 level of type I-A parking & retail/lobby/leasing and 2 levels of type I-A underground parking. The proposed total floor area is 445,141 square feet of which 427,141 square feet are for residential. The residential area is broken down into the following unit structure; 104 studios, 129 of the 1 bedroom units, 171 of the 1 bedroom +den units, 52 of the 2 bedroom units, and 34 of the 2 bedroom +den units. Our model is a partial and simplified version of the original design focusing on the front section.

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SwiftCheck

Faculty Advisor: Dr. Li Liu

Department: Computer Science

The demand constantly grows for personalized healthcare solutions that are both accessible and effective. Traditional medical diagnosis methods can be time-consuming, often requiring in-person visits to healthcare providers that could be costly. The website the team built combines medical data with an interactive and intuitive interface to provide personalized medical guidance based on patient input. The website utilizes the user data including age and symptoms to generate potential diagnoses for a range of medical conditions, reducing necessary doctor visits in potential emergencies. Join the team in exploring the exciting area of research at the intersection between medical and technological fields with our innovative approach in accessible and time-saving medical diagnoses.

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Real-Time Traffic Monitoring

Faculty Advisor: Dr. Xunfei Jiang

Department: Computer Science

Intelligent transportation systems (ITS) have become increasingly important to the development of smarter and safer transportation infrastructure, especially in Southern California, where traffic congestion poses a challenge to commuters every day. To contribute to ITS, this project presents a real-time traffic monitoring system using LiDAR and machine learning technologies to detect and classify vehicles, collect and stream traffic data, and provide insights on traffic flow to its users. Integrated with AWS, traffic data is ingested in real-time, processed by machine learning models for vehicle detection and classification, and output in a detailed traffic pattern analysis and web visualization. Our 2D model achieves a precision rate of more than 90% identifying 6 distinct vehicle types, complementing our 3D model trained with over 2000 preprocessed LiDAR point cloud images. With this proposed application, our project intends to contribute to applications of ITS and provide critical traffic data for traffic management planning.

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Autonomous Unmanned Aerial Vehicle (UAV)

Faculty Advisor: Dr. Xiaojun (Ashley) Geng

Department: Electrical and Computer Engineering

In the current academic semester, the Autonomous UAV team has continued its work on the primary octocopter build initiated by previous teams and simultaneously commenced construction of a secondary octocopter build. The primary octocopter build has been earmarked as the main testbed for conducting flight tests on MAVSDK-Python flight scripts, object detection scripts, and communication between Raspberry Pi and Pixhawk 4. The team was bifurcated into two sub-groups for Spring 2023. One of the sub-groups concentrated on implementing the new software called MAVSDK-Python to achieve complete autonomy, while the second sub-group focused on the secondary octocopter build and conducted vital research on the new hardware needed for object detection.

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CLEANBOT3000

Faculty Advisor: Prof. James Flynn

Department: Electrical and Computer Engineering

CleanBot 3000 is an autonomous sanitizing robot designed to maintain the cleanliness of Jet Propulsion Laboratory (JPL) cleanrooms while minimizing the spread of interplanetary bacterial contamination. The robot uses UVC LED modules to effectively sanitize the floors without causing any damage to flight and instrument hardware. To achieve its objective, CleanBot 3000 has been designed with advanced sensors, navigation systems, and control algorithms, which enable it to autonomously navigate through the cleanroom floor, detect obstacles, and map the area to be sanitized. Once the mapping is completed, the robot employs its UVC LED modules to sanitize the floor, eliminating all microorganisms. Developing an autonomous sanitizing robot is critical for JPL cleanroom maintenance, providing a more efficient and effective cleaning solution while reducing the potential for contamination caused by human intervention. In addition, the robot’s modular design allows for easy adaptability to various cleanroom environments, making it a versatile solution for cleanroom maintenance.

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Human Powered Vehicle (HPV)

Faculty Advisor: Prof. Aram G. Khachatourians

Department: Mechanical Engineering

CSUN’s new and latest Human Powered Vehicle (HPV) is completely designed ground up and manufactured during the 2022-23 academic year. It is a three-wheeled, semi-recumbent vehicle using a tadpole configuration, with a full fairing. This year’s innovation was chosen by ASME and for the first time in the history of this competition, they required the incorporation of an electric motor to assist with the drivetrain. CSUN’s HPV team was successful in incorporating this major design change and will be competing at the eHPVC event at the end of April in San Jose, CA. Since every member of the team is a Mechanical Engineering student and has limited knowledge of electrical circuitry, components, and load calculations, everyone had to push the envelope to teach themselves new content. Doing component testing and collecting data, proved to be very valuable before the incorporation of the batteries, motor controller, and motor into the vehicle.

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Smart Morphing Wing (SMW)

Faculty Advisor: Dr. Peter Bishay

Department: Mechanical Engineering

Smart Morphing Wing is a research-based Senior Design Project whose objective is to design, simulate, build, and test innovative morphing structures for aerospace applications utilizing 3D printing, smart materials, and composite structures. The 2022-23 cohort designed a bio-inspired bird-like non-flapping unmanned aerial vehicle (UAV). The UAV, named MataGull, resembles the common seagull, which has superior agility and efficiency in gliding. The wings feature a corrugated flexible structure to allow for the expansion and contraction of the artificial feathers attached to it. MataGull’s tail utilizes tilt, pitch, and planar sweep morphing for yaw, pitch, and roll control. This tail design aligns with the anatomical representation of the seagull, in lieu of a rudder more commonly seen in traditional aircraft. Controlling both wing and tail geometry enables stable and maneuverable flight without the penalties of designing for just a single flight condition. The proposed design was manufactured and tested to prove the effectiveness of the selected materials and actuators in realizing the desired morphing deformations in flight. The team competes at the AIAA regional student conference and presents the research at CSUNposium.

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