This proposed research aims to focus on the perspective of newcomers and the organizations that provide direct support to newcomers, and how policies and plans enable or inhibit how readily newcomers can find and secure skills- commensurate employment. It is our intent to make this research as practical as possible for newcomer-serving organizations to design […]

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

This research project aims to understand what key organizational factors are necessary to manage change in resource constrained organizations (RCOs) to enhance organizational survivability. RCOs include small businesses and not for profit organizations that have limited resources such as time or money to manage continuous change. The findings in this research will assist 1743231 Alberta […]

In response to the growing complexity and volume of legal contracts, there is a pressing need for innovative solutions to enhance efficiency and accuracy in drafting processes. This research proposal pivots towards automating language models to summarize existing agreements, with a specific emphasis on data cleansing and summarization of contracts. The proposed research explores the […]

This study proposes a new signal optimization technique that can help reduce crashes at intersections. Using data from sensors installed at the intersections, vehicle trajectories can be used to identify near-misses that would provide insight into crash-risk. By quantifying the crash-risk using extreme value models, a crash-risk metric is derived that can be used to […]

This project aims to develop tools that will actively monitor the electric grid and identify ways to resolve issues more quickly using detailed data from metering devices. By doing so, the project will assist utility companies in gaining an improved situational awareness of the power grid. The power grid has become increasingly complex due to […]

This research aims to understand Indigenous children’s academic attitudes during the pivotal transition to off-reserve schooling after grade six. It uniquely acknowledges educators’ vital role as unconventional mental health providers within Indigenous communities. By exploring stereotypes and attitudes, it bridges the gap between academia and community mental health providers, recognizing education’s potential in addressing mental […]

We have completed a research project titled COVID-19 Pandemic and Psycho-Social and Occupational Wellbeing of Frontline Healthcare Workers in BC, funded in 2021 through the Michael Smith Health Research BC, which is British Columbia’s health research agency. This project helped us to collect data from 400 frontline workers from BC. Using a unique combination of […]

CdZnTe (CZT) semiconductor crystals are used as X-ray detectors in state-of-the-art medical CT scanners. These devices are sensitive to individual X-ray photons and enable tissue selective X-ray imaging with reduced radiation dose to the patient. The CZT detectors function by converting absorbed X-rays into electrical signals that are subsequently analyzed by a computer to make […]

Oats and faba beans, often wasted in current processing methods, can be transformed into valuable food products. This can increase their economic potential and lessen environmental impact. Our proposal breaks down crop residues into sugars and lignin. Sugars are fermented into single-cell protein, while lignin is converted into vanillin. This vanillin, combined with sugars, produces […]

The “Partnerships Empowering Canadian Innovation” project, conducted under the Mitacs Business Strategy Internship program in collaboration with The Cansbridge Fellowship, aims to equip interns with the mindset and skillset necessary for success in the innovation economy. The project enables interns to identify strategic partnership opportunities with innovation organizations through industry-specific research, networking, and outreach. Throughout […]

In response to the escalating demand for clean tech and energy-efficient structures, our project focuses on revolutionizing building data processing for swift decarbonization planning. We tackle the challenge by parsing diverse data from mixed media documents and fine-tuning pre-trained large language models (LLMs) for optimal data query accuracy. Our approach integrates text parsing, tokenization, and […]