Smash + Tess Dreamwear Inc. is a Vancouver-based fashion company renowned for its sustainable, high-quality Rompers, which are made from a bamboo and cotton blend. The company is committed to reducing the traditional fashion cycle by producing clothing on demand and ensuring its products are made under ethical conditions. Smash + Tess has gained a […]

Oi Marketing is a digital marketing agency that has been helping small and medium-sized businesses thrive for over five years. The company offers a wide range of services, including content creation, SEO, social media management, website development, and data analysis, with a particular focus on providing transparent, results-driven marketing solutions. The challenge Oi Marketing faces […]

CBSR is a leader in advancing sustainability and corporate social responsibility across Canada, working with organizations to integrate sustainable practices into their business strategies. As part of a network of organizations focused on fostering a socially just, sustainable, and net-zero economy, CBSR faces the challenge of optimizing its member engagement and program delivery to effectively […]

Lass Chance Beverage Co. is a rapidly growing company known for its high-quality fruit sodas and ciders. The company has diverse revenue streams, including direct sales, online marketing, and distribution, which have all contributed to its expanding customer base. As Lass Chance continues to scale, it faces the challenge of maintaining and enhancing its marketing […]

This project is intended to provide information regarding the potential impacts and benefits to wildlife habitat resulting from varying forestry harvest practices, with an emphasis on moose, by studying the short term differences among plant species, soil moisture, light, and wildlife use.

The proposed project will synthesize and create a way for city emergency management agencies benchmark their materials for accessibility. Emergency management agencies are responsible for the protecting communities and coordinating planning and emergency response to ensure safety. This makes effective communication, especially with groups considered to be vulnerable during emergencies, highly critical. This project is […]

This research project focuses on optimizing the efficiency and performance of motion diffusion models for real-time applications in video games. Diffusion models have shown great potential in producing high-quality and diverse human motion animations, but are often limited by their computational demands. This project will explore different model architectures and optimization techniques to reduce their […]

This project aims to develop and apply AI technology within an IT Service Management (ITSM) system to improve IT support and efficiency. By training Freshservice’s Freddy AI using real data, we will enhance the accuracy of ticket handling, streamline repetitive tasks, and automate routine IT workflows. This will significantly reduce the workload of IT staff, […]

Commercial hazelnuts are a woody perennial crop that requires significant upfront investment. They are typically grown in a monocropped orchard, with bare soil or a closely-cropped grassy orchard floor. Hazelnuts are usually harvested from the ground, meaning that the presence of intercrops is a hindrance for harvest. This results in lower in-field diversity, wasted production […]

Under the Fisheries Resource Reconciliation Agreement, the Department of Fisheries and Oceans Canada and eight First Nations are working to build consensus in joint-recommendations and decisions regarding fisheries resources in areas of the BC coast. This project contributes to best practices from other Nation-Crown decision-making processes to help us build an informed process to reach […]

“Green shipping corridors” are being established globally, including interest in new cargos of hydrogen (H2) and carbon dioxide (CO2). The former is challenging to transport in neat form, making liquid organic carriers (LOCs) and ammonia (NH3) attractive forms for transport. Carbon sequestration sites are also being established for CO2 disposal, however many are located far […]

This proposal aims to integrate mathematical analysis with numerical simulations using Physics-Informed Neural Network (PINN) schemes to investigate the primitive equations, a fundamental model for atmospheric and geophysical flows. The primary focus is on achieving a precise characterization of singularity formation in these models.