This research investigates the fusion of multi-source geospatial data to overcome key scaling limitations in automated property assessment. The primary research problem addresses object occlusion in satellite imagery, where features can obscure ground-level surfaces and prevent accurate area measurement. We propose and evaluate a novel machine learning approach that geometrically fuses satellite imagery with ground-level […]

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]

This project aims to help International Game Technology (IGT), a global leader in gaming, better understand what makes their Video Lottery Terminal (VLT) games successful. Currently, IGT finds it hard to link specific game features (like bonus rounds or themes) to how well a game performs or how long players stay engaged. This project will […]

Orange Orange Technologies Ltd is a growing software consulting firm specializing in SAP, Salesforce, ZOHO, and ERP solutions, helping businesses optimize their operations through seamless system integration and digital transformation. As the demand for enterprise software solutions increases, the company faces the challenge of expanding its market reach, identifying high-potential clients, and enhancing engagement strategies […]

Many nonprofit organizations struggle to create compelling stories that inspire people to donate. This project aims to develop an AI-powered assistant that helps nonprofits improve their fundraising campaigns by using more empathetic and emotionally engaging language. Since people are more likely to donate when they feel a personal connection to a cause, this tool will […]

EBSCO improves the dissemination of high-quality, clinically relevant content to healthcare providers through DynaMed, their online clinical textbook that is constantly being updated as new research is published. This process includes many experts and has many steps. McMaster University’s Health Information Research Unit’s (HiRU) literature surveillance program filters medical research studies and passes them to […]

Levis Tech is a custom software company based in Saskatoon that builds web applications for food banks, nonprofits, and eCommerce businesses. This project will bring on a Quality Assurance (QA) Tester to help improve how the company tests its software. Right now, testing is done manually by one of the partners, which slows things down. […]

AI-Driven platform for measuring and tracking organizational collaboration and well-being to optimize effectiveness

Un-crewed Air Vehicles (UAVs) have many applications in different sectors, such as security, surveying, and logistics. However, the flight autonomy of the UAVs is a key factor that can limit their mission potential. Shearwater Aerospace is a Canadian company based in Montreal that develops autonomous operating software based on artificial intelligence, Smart Flight, for professional […]

Many effective Convex Optimization techniques face a common bottleneck: the resolution of large, sparse systems of equations. Despite the important advances in the state-of-art at theoretical and algorithm development, a significant challenge persists in the tendency to overlook the commercial viability of these algorithms. Recent strides in computer hardware, driven by advancements in AI and […]

The aim of the project is to use a Technical Economic Analysis (TEA) framework to accelerate knowledge translation of UBC and Rogers collaborative research projects. There are many impactful pathways for knowledge translation, and this project will focus on the commercialization pathway. The motivation of this project is that using a novel TEA framework, with […]

The partner organization, AlayaCare being a provider of cloud-based home healthcare software services, will allow us to have access to real-world data as well as field realities for home health care services planning. The responses from the patients as well as the caregivers used to build the behavioral models (discrete choice models) will be obtained […]