Optimized Design for Scalable Production: Innovating Surface Properties in Pumpless Microfluidic Devices for Gene Therapy

This project enhances a device for producing lipid-based nanoparticles, crucial for gene therapy, by focusing on ‘Design for Manufacturing’ principles and surface property optimizations. These optimizations aim for optimal fluid flow and improved interactions with biological cargoes, ensuring efficiency and scalability in production. For Nanofacile Inc., this approach enables a quicker transition from prototype stages […]

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Investigating the Impact of Environmental and Anthropogenic Stressors on Pacific Herring (Clupea pallasii) Spawning Dynamics in the Strait of Georgia

This study focuses on the Pacific herring in the Strait of Georgia, which has seen a significant reduction in its range since the 1980s, without a clear cause. This contraction is concerning due to the herring’s importance to species like the Chinook salmon, which rely on herring as a food source. The research aims to […]

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Embedded stereo disparity computation

CogniVue is a leading innovator in embedded computer vision, providing both hardware and software solutions that enable its customers to develop high-performance, low-power embedded vision applications. From the success of recent 3D sensing technologies such as the Microsoft Kinect or the Intel Creative camera, the need for innovative low-cost depth sensors is rapidly growing. In […]

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Enhancing technical drawing analysis with semantic segmentation and OCR technologies

This project aims to enhance the work with technical drawings in manufacturing is done by using advanced computer techniques to automatically identify and read text within these drawings. This means turning detailed plans and sketches into digital data quickly and accurately, without manual input. For the partner organization, this innovation promises to greatly speed up […]

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Creating resilience in mining management systems to reduce Serious Incidents and Fatalities (SIFs)

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

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Human microproteins as host dependency factors of Zika virus

Zika virus is an important mosquito-transmitted human pathogen endemic to tropical and subtropical parts of the world and was responsible for the pandemic in South America in 2016. In pregnant women, the virus can cross the placenta and infect the brain of developing fetus leading to congenital abnormalities and life-long sequelae in newborn babies. Currently […]

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Digitizing Medical History: French Validation of FirstHx Primary Care Tools

FirstHx wishes to validate the French component of its’ in-person patient facing digital medical interview solution, which could be offered to clinicians and practitioners as a means of empowering patients, reducing time of clinical documentation, improve efficiency while increasing quality of care. Researchers from the UMoncton have the expertise and resources to validate our AI […]

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Biocover Methane Oxidation Quantification Project at Summit Road Landfill

In response to the growing concerns about landfill gas emissions, particularly methane (CH4) and carbon dioxide (CO2), which significantly contribute to global climate change, the proposed research project aims to address this issue through the development of bio-based landfill covers. While many landfills currently have implemented gas collection systems for processes like flaring or energy […]

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L’atténuation naturelle des produits pétroliers par des consortiums de bactéries dans les milieux humides

La pollution liée aux déversements d’hydrocarbures pose de grands problèmes environnementaux et de santé humaine. Les méthodes conventionnelles utilisent des méthodes chimiques et/ou physiques (via excavation) pour nettoyer les sites impactés. Ces méthodes sont souvent très coûteuses et peuvent endommager durablement les écosystèmes incluant les milieux humides. Il est donc important de développer des méthodes […]

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Training Machine Learning to Monitor Cricket Farms

By 2050 the global population is projected to reach 9.8 billion, and food supply must sustainably scale to keep up with the population’s growing nutritional demand. Insects are rich in protein and require substantially less environmental resources compared to the standard protein sources of today, making them a promising food of the future. To optimize […]

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Cyanobacteria Blooms and Lakes in Canada

Cyanobacteria, or blue-green algal bloom are becoming increasingly common. These blooms, when they reach significant magnitudes are referred to as Harmful Algal Blooms due to release of toxins such as microcystins which pose a threat to both humans and terrestrial fauna. These extensive blooms induce anoxic conditions within the lakes, resulting in impact son aquaculture […]

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Secure Traceable Digital Datasets for Research and AI

This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable […]

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