The Drone Detection and Recognition team set out to create software to bolster the defenses of Critical Infrastructure around the country against drone surveillance and collisions. The DDR platform provides drone detection software that sends an email warning to the customer when a drone is spotted. The team made this software compatible with industrial computers and is ready to be installed at any critical infrastructure site.

In this project, our team is helping Edson College of Nursing and Health Innovation to accurately forecast the number of students enrolling in their various programs for the upcoming 10+ semesters.

Introducing the Cultural Thesaurus - a modern, fresh look at the traditional thesaurus. With eye-catching UI design, a fluid front-end, and an efficient back-end, we've been hard at work to provide this redesign of an idea thought up by the brilliant minds at Shesaurus Labs, LLC.

Brandless Bracelets is a start up company based in Canada aiming to reduce poverty in its indigenous communities via bracelet making. Our team developed their ecommerce website in Shopify to reflect its transparent and charitable values. The team also had build the website so our sponsor- who is not a programmer- can easily make modifications without any assistance.

We designed a Secure Boot FPGA system designed to protect hackers from adding and running malicious code during the booting procedure of an FPGA. This helps keep equipment using an FPGA board secure, as the FPGA prevents the system from becoming operational if any code is modified or the right decryption key is not used. Additionally, this is designed to be general purpose, so boards and code can be swapped out with little effort.

Biomedical image data such as high-resolution pathology samples of cancerous tissue can now be captured, digitized, and integrated with other "-omic" data to create rich knowledge about cells and tissues for diagnostic decisions. In this project, a proof of concept solution was built to identify optimal data analysis pipelines and machine learning algorithms for the diagnosis of cancer. The team synthesized datasets, specifically histopathological image data and genomic expression data to train and develop highly accurate machine learning models for the detection of cancer.

To drive the creation of a STEAM museum geared toward elementary aged children. Expose them to the " New Frontiers of Learning" as well as opportunities available through the university.

Smart Highway of Interconnected Peripherals (SHIP) is a capstone project that aims to create a network of sensors that records weather data, which is then analyzed and fed back to oncoming drivers in the form of hazard notification. The finished products include a sensor module prototype utilizing solar and battery power, networking capabilities, a machine learning-based weather model, and a website that outputs data. The project was conducted by both Electrical Engineering and Computer Science students and mentored by Dr. Yong-Hang Zhang.

Statistics Decoded is a site for students and researchers to generate statistical reports from user datasets for educational and professional use.