This project is focused on the design of patterned metallic claddings for transmissive electromagnetic metasurfaces. These are thin devices that are composed of sub-wavelength unit cells. Metasurfaces can synthesize electromagnetic radiation patterns; thus, they can offer various applications in wireless communications, satellite communications, electromagnetic imaging and remote sensing. The properties of their unit cells are […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Knowledge of corrosion products and radioactivity transport in nuclear reactors is necessary to minimize radiation dose to station workers during maintenance activities. Modelling radioactivity transport can also be used predictively to assess how changes to station chemistry affect radiation fields. The objective of this project is to develop a new code in Python, leveraging the […]