New Analytical Approaches to Social Media Data

In general, market research agencies use surveys and social media analytics as different ways to explain customer behaviour. Vision Critical, a Vancouver software and market research firm, is currently testing how the two can be combined to generate new findings. While the company intends to offer this approach as a service, various important questions to […]

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The Atlantic Canada Retrofit Accelerator

This project aims to develop a systematic approach to deep energy efficiency retrofits for prevalent building archetypes in Atlantic Canada, resulting in a comprehensive roadmap for regional and national deep retrofit acceleration. As part of a larger federally-funded endeavor, it contributes to the establishment of regional hubs, known as “Retrofit Accelerators,” aimed at guiding building […]

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Développement d’un additif inhibiteur de corrosion vert pour un formate de potassium destiné au dégivrage et l’antigivrage des ponts et routes

La recherche envisagée vise à relever le défi critique de combattre la corrosion induite par l’utilisation répandue de sels de déglaçage, tels que le NaCl et le CaCl2, sur les infrastructures routières. Cette problématique majeure entraîne une détérioration accélérée des structures en béton, avec des conséquences coûteuses sur l’entretien et la durabilité des infrastructures. L’objectif […]

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Landmark Segmentation and Image Registration of Abdominal Point-of-Care Ultrasound Images using Deep Learning

According to the Canadian Liver Foundation, non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Canada, affecting 20% of the Canadian population. Over decades, NAFLD can progress to liver cirrhosis, with deceased liver function and decompensation associated with mortality and requiring consideration of liver transplantation. Thus, early diagnosis is crucial to […]

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Business 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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Developing a high throughput in vitro method for testing pro-regenerative molecules

Multiple sclerosis is highly prevalent in Alberta and is characterized by loss of myelin (brain white matter) and myelin-producing cells, oligodendrocytes. This leads to neurodegeneration and symptoms like blurred vision, impaired cognition, loss of mobility and/or paralysis. Currently there are no treatments aimed to replace lost oligodendrocytes and myelin. This can be achieved by stimulating […]

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Stabilizing VSV and AdV Vaccines

Vaccines are inherently unstable and are stored in the refrigerator or frozen. This project aims to design a vaccine technology, using a viral vector, that would be much more stable and able to be stored at room temperature. This advantage would reduce the cost of transport and storage, especially in the case of stockpiling for […]

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Diet-ESP: Compressed Profile for IPv6/IPsec over the 5G Fronthaul

This research project aims to speed up 5G networks by making the way IPv6 and IPsec are used more efficient, especially over important critical interfaces in the Radio Access Networks (RAN). We plan to fully specify Diet-ESP, a simpler and lighter form of IPsec that takes up less space by using new compression methods. We […]

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Kinetics of nickel metal extraction from mixed hydroxide precipitates (MHP) using high-pressure carbonylation

This project investigates the extraction of the critical minerals nickel and cobalt using vapour metallurgy (or Mond process) from a material called mixed hydroxide precipitate (MHP), a common feed material for the refining process produced from laterite nickel ore. MHP contains both nickel and cobalt in different ratios depending on the feed material source. The […]

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Evaluating the Association of Intermediate Social Determinants of Health, Dementia Modifiable Risk Factors, and Cognitive Health for On-Reserve First Nations Peoples

The incidence of dementia, a clinical syndrome marked by progressive cognitive decline, is rising more steadily among Indigenous populations in Canada, mainly due to modifiable risk factors, such as diabetes and physical inactivity. Previous research has found that cultural and social connection and access to healthcare impact the incidence of many of the modifiable risk […]

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The economic, environmental, and social implications of implementing smart grid management systems

Smart grid energy systems are considered the future of electrical grid management and delivery. These technologies and programs are innovative ways to ensure a reliable electricity grid, promote renewable energy, increase efficiency, and enhance consumer control. Smart grids operate as automated or computerized systems that centralize electricity grid control and ultimately provide a more resilient […]

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Leveraging AI Techniques to Analyze Corporate Documentation for ESG Indicators

Significant demand exists by society for information about how companies are conducting themselves on matters of environmental stewardship, social responsibility, and good corporate governance (ESG). Typically, however, such information is hampered by significant inconsistencies in availability, which hinders access to reliable information. Our goal in this research project is to address these obstacles faced by […]

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