Nanostructured Blends of Organic Semiconductors

Organic semiconductors have driven the development of next generation technologies such as printable solar cells, flexible displays, and wearable electronics. Such devices are based on thin films of organic semiconductors, often blended with other semiconductors or nanomaterials. The structure and morphology of a thin film plays a crucial role in the performance and efficiency of […]

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Harvest rain droplet kinetic energy for the emerging Internet of Things (IoT) technology

The research project aims to explore rain droplet kinetic energy harvesting for advanced engineering applications in the emerging Internet of Things (IoT) technology. As the world increasingly seeks renewable energy sources and sustainable technologies, the concept of harvesting wasted energy forms from the environment gains significance. One promising avenue is reverse electrowetting on dielectric (REWOD), […]

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Focus marking in Kalaallisut

The Inuit language with most speakers is Kalaallisut, the official language of Greenland. Nevertheless, linguistic descriptions of Kalaallisut are far less numerous and complete than for European languages like English. In particular, there is little research on how speakers highlight new information and relate it to information already discussed earlier in a conversation – even […]

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Learning based MPC for tissue manipulation

Robot-assisted surgery (RAS) has revolutionized surgical procedures, offering advantages over traditional methods. Currently, surgeons control robots for tasks like suturing and organ resection, leading to physical strain while the robot helps at the lower level by scalling down the movement and reducing hand tremor. These tasks are intricate and demand high dexterity and skill, leading […]

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Adjusting Cognitive Loads of Operators from Visual Inputs

Simulation-based training is an critical supplement to current clinical training. However, implementing simulation technology into a curriculum to maximize training outcomes still presents a significant challenge. It is important to consider multiple factors and their impact on trainee cognitive load. In the past, we have adjusted the target stability to manage the cognitive load of […]

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Machine Learning and Software developer interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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An Innovative Model of Pediatric ACute Mental Health and AddictioNs Care to Increase Value to Children, Youth, and the Healthcare System: The PACMAN Study

The PACMAN Study seeks to understand experiences and satisfaction with care and outcomes of children and youth who used mental health services as well as their parents and caregivers at the above-mentioned hospitals, including an economic evaluation conducted by the IHE on the impact of the intervention on healthcare resource use and costs in youth […]

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Decoding Political Messaging to Working-Class Voters In Canada

This research project, “Decoding Political Messaging to Working-Class Voters In Canada,” is interested in understanding how the three major Canadian political talk to working-class voters. We will be looking at what the Liberals, Conservatives, and New Democrats say about important topics like jobs, climate change, and healthcare. By exploring and analyzing their party platforms from […]

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Machine Learning based Combustion Control for Zero Carbon fuels

The Canadian Net-Zero Emissions Accountability Act targets net-zero greenhouse gas (GHG) emissions by 2050 with similar commitments around the globe. In the short-term, emissions from heavy-duty internal combustion engines (ICEs) that dominate the power generation in freight transportation industry can either be reduced or eliminated with zero-carbon fuels such as Hydrogen / Ammonia. One solution […]

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A quarterly real GDP index for the province of Alberta

Stress tests link key bank variables with macroeconomic indicators to measure, for example, how much bank earnings can vary during economic downturns. For local businesses, which are closely tied to the health of the local economy, it’s important that these macroeconomic indicators have a regional focus. In this project, our goal is to enhance the […]

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