TRLUP – Scaling an Ambient-Condition Platform for Ammonia, H2S, and Phosphate Removal in Wastewater Systems

This project will support the development and scale-up of an innovative water treatment technology that uses nanotechnology systems to remove harmful pollutants—like ammonia, hydrogen sulfide, and phosphate—from various waste streams. These contaminants can damage equipment, lower biogas production, and lead to environmental penalties. By working with experts at SAIT, the project will help improve the […]

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TRLUP – PrintedSUN

Neonatal jaundice affects a significant proportion of newborns—up to 60% of full-term and 80% of preterm infants—making timely and effective phototherapy essential. Current treatment methods typically rely on stationary blue-light devices that require infants to be placed in incubators, often separating them from parents and disrupting early bonding. PrintedSUN is addressing this critical healthcare challenge […]

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Effect on Electromagnetic Fields on Blood and Insulin Blood Levels

In recent years, many studies have investigated and demonstrated the positive effects of electromagnetic field (EMF) stimulation on fracture healing, pain management, cancer treatment, or neurological disorders. With the increasing number of diabetes patients in the current society, the use of EMF could potentially be used as a new alternative and non-invasive method to treat […]

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GreenWorks Sustainability Market Research

GreenWorks is focused on developing technology solutions to help clients their sustainability requirements. Over the course of the project, we will be developing research assessments for different market segments that can help advance GreenWorks reach and capabilities. A large portion of the project will be building research reports to that can provide insight into the […]

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Fibre-Optic Sensing with Ambient Noise for Improved Understanding of Landslide Behaviour

Landslides are natural hazards, commonly triggered by heavy rainfall, glacier melt, and permafrost degradation. This project explores an emerging fibre-optic sensing technology, Distributed Acoustic Sensing (DAS), which can enhance our understanding of slope failure processes. DAS transforms fibre-optic cables into thousands of sensors capable of detecting small-scale ground deformation in near-real-time. This project will apply […]

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Supply Chain Publishing Network

The Alberta Chambers of Commerce (ACC) has completed the development phase of the Alberta Supply Chain Publishing Network—an innovative digital platform designed to modernize how Alberta businesses connect, share data, and build resilient, localized supply chains. This solution represents a major step forward in supply chain innovation, enabling businesses to publish standardized information, access real-time […]

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Radicare Ventures – Collaboration between Bill Zheng and C3 Lab

RadiCare Ventures is looking for a summer intern to work on expanding the current Customer Resource Management (CRM) technology and a centralized data collection platform. This may include researching and building out a CRM, aggregating and automating current data collection processes and report generation systems, and also working with management to explore areas of key […]

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Policy and Environmental Research for Infrastructure Projects

Ultimarii is a software company that helps speed up environmental and regulatory approvals for major infrastructure projects by using artificial intelligence. This internship project will bring on a student researcher to study environmental and energy policies, analyze public data on approval processes, and create easy-to-understand reports and summaries. The intern’s work will directly support Ultimarii’s […]

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Analyzing process data alongside traditional item responses to obtain more accurate imputation, offering a deeper understanding of respondent behavior and enhancing the quality of imputing missing responses

This project aims to enhance proficiency estimation in large-scale assessments by improving missing-data imputation techniques. Specifically, the study focuses on refining Multiple Imputation with Denoising Autoencoders (MIDAS)—a deep learning-based approach—by incorporating item response time as an additional contextual feature. Unlike traditional item response theory (IRT) or regression-based methods, which rely on strong assumptions, the proposed […]

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Development of algorithms to improve microflow analysis

Our primary mandate at API is to advance basic research and innovation to commercialization by providing access to world-class industry expertise, services, and infrastructure. Our activities focuses on engaging and supporting drug discovery and development initiatives, ensuring compliance with regulatory standards and driving innovation and commercialization through collaborative research and clinical studies. The investigation of […]

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