Biocovers are earthen structures built into landfills and other industrial facilities to collect and degrade greenhouse gas emissions from the site. They are widely considered one of the most effective ways to combat methane. In order to assess the performance of those biocovers, operators have to attend to the biocover regularly and use a flux […]

Optimization of an ergonomics program within a manufacturing facility. AI camera based system for postural injury risk identification will be utilized to improve productivity and quality of injury risk identification. The project will then continue to applying the RACE Recognize, Assess, Control, Evaluate model. Physical Demands Analysis and process and design solutions for risk reductions […]

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

As Abbotsford Police Department begins the implementation of the trial phase of their police body-worn camera (BWC) program, a thorough evaluation of the program is needed. The Community Health and Social Innovation (CHASI) Hub will support the Abbotsford Police Department’s work by engaging in the research activities to conduct this evaluation.

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]

We are developing a conversational AI system that helps hospitals and cancer centers find the right patients for clinical trials much faster and easier. Currently, research staff spend weeks manually reading through hundreds of pages of patient medical records to see if patients qualify for specific cancer treatment studies, which means many patients who could […]

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

This project will develop a plan to bring a new worker fatigue monitoring system to market. The system uses wearable sensors and artificial intelligence to detect when workers are becoming tired, so that action can be taken to prevent accidents and keep people safe on the job. During this project, market research will be done […]

I intend to commercialize a foundation model for forecasting energy production and consumption time series, addressing challenges like renewable integration, storage optimization, and demand-supply balancing. Resources such as HVACs, EVs, ESSs, and solar roofs introduce uncertainty due to temperature sensitivity, price response, and weather variability, making grid management and the transition to smart grids more […]

Artificial intelligence (AI) is increasingly used to make high-stakes decisions in fields like finance, insurance, and healthcare. However, most of AI systems function as “black boxes,” producing results without clear explanations. This lack of transparency can lead to serious consequences, such as denying loans to creditworthy individuals or making unfair risk assessments. The AsbabAI aims […]

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]