Perovskite solar cells are a specific type of solar cell that has become popular in recent years due to their low making cost and higher ability to produce electricity from sunlight. My research project aims to train a neural network that can help predict different characteristics of a perovskite solar cell, thus helping to increase […]

Charities and nonprofits provide essential programs and services and improve the quality of life in communities. However, anecdotally we know that accessing consistent, non-burdensome funding to support these activities is a major challenge for many organizations. Ultimately, the funding nonprofits are able to access impacts the individuals and communities they serve in a variety of […]

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and […]

3D modeling is crucial for effective left ventricular assist device (LVAD) implantation by providing surgeons with precise, personalized visualizations of the patient’s heart anatomy. The proposed technology will allows for detailed preoperative planning, optimizing the placement of the LVAD within the left ventricle. The accuracy and individualized approach afforded by 3D modeling will contribute to […]

This project is a collaboration between Queen’s University and BBA Engineering Consultants. With a shortage of mining and mineral processing engineers across the country, BBA is looking for way to attract more students to study mining engineering and for ways to expose their EITs from other engineering disciplines to topics in mining and mineral processing. […]

In-vehicle networks of modern automobiles, particularly Controller Area Networks (CAN), are vulnerable to cyberattacks which can cause dangerous accidents. There are many CAN intrusion detection systems (IDS) that use different techniques and features. While there are several CAN datasets available from real vehicles and CAN testbeds, we identify a lack of datasets containing signals decoded […]

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]

This project enables interns to enable Market Innovation in Canada, related to their field of study or industry of interest. This will contribute significantly to the Cansbridge Fellowship’s mission of empowering entrepreneurially-minded students and promoting innovation in Canada. Under the guidance of the academic supervisor, the intern will focus on identifying innovative organizations for potential […]