Catheter-associated infections (CAIs) pose a significant healthcare challenge in Canada and worldwide. CAIs contribute to increased patient morbidity, prolonged hospital stays, and a significant burden on the healthcare system. With an aging population and growing antimicrobial resistance, there is an urgent need for innovative infection prevention strategies. This project explores using repellent liquid-infused catheters to […]

The Cansbridge Fellowship, a leading Canadian non-profit dedicated to fostering entrepreneurial leadership, seeks to modernize its operations and programs to better serve students and ensure long-term sustainability. This project will bring in specialized interns to tackle key challenges, including redesigning the business model for financial stability, optimizing programs to meet the evolving needs of students […]

This project aims to develop an advanced system for interpreting X-ray diffraction (XRD) data and classifying it based on insights provided by Subject Matter Experts (SMEs). XRD is a critical analytical technique used across various industries, including materials science, geology, and geophysics, to determine the crystallographic structure of materials. However, the raw spectra generated from […]

This project aims to develop a high-resolution and high-speed microscope for capturing fast cellular biological interactions and processes. CoVision, a custom microscope instrumentation company, will directly work with the research fellow to develop and build this custom system. This includes designing the commercial grade packaging, sourcing components, and development of the user interface to be […]

The project entails an experimental and numerical investigation into the effect of adding seeding particles into a Phase Change Material (PCM) thermal storage system under the application of Electrohydrodynamics (EHD).In previous experiments we have seen an increase in heat transfer enhancement for the same applied electric field when we have added seeding particles. The objective […]

Regular physical activity confers robust health benefits, but many people are insufficiently active. Common cited barriers include a perceived lack of time and access to equipment and facilities. “Exercise snacks” are a style of physical activity characterized by isolated bouts of vigorous exercise lasting =1-min and performed sporadically throughout the day. They can include simple […]

Trauma often leaves lasting effects on mental health, increasing the risk of PTSD, depression, and anxiety. These challenges can worsen during hormonal shifts like menstruation, pregnancy, or menopause. Some women may have a heightened sensitivity to these changes that could amplify symptoms, while poor sleep, including insomnia and disrupted sleeping patterns, further complicate recovery. Despite […]

Neural networks support software engineers in their tasks and activities. For example, in the automotive domain, neural networks support automotive software by detecting other vehicles and their distance from the ego vehicle. Unlike other software systems that the engineers manually program, the neural network’s behavior is defined by its training data. Since the behavior of […]

Ellustros has developed an App and SMART Chair to provide an automated ergonomic office solution using AI and IoT technology. The app uses real-time data to assess optimal posture and automatically adjust the SMART Chair to ensure comfort, efficiency, and reduce the risk of injury. At this stage of the product development, the business model […]

In this study, researchers aim to investigate whether canagliflozin, an anti-diabetic agent, can enhance the effectiveness of enzalutamide in preclinical models of prostate cancer (PrCa). Prostate cancer often becomes resistant to current therapies, such as enzalutamide, due to various molecular pathways. Canagliflozin has shown promise in suppressing these pathways in prostate cancer cells and tumors, […]

There are however, a range of GCMs, future climate scenarios and downscalingtechniques that can be used and each yields different results. Due to this uncertainty, itis regarded as best-practice to use a collection of individual projections to develop“ranges” that characterize future climate conditions. The aim of this internship is toconduct this analysis for the variables […]

This project leverages AI to streamline multilingual book creation. It supports speech-to-text, bilingual content in English and Persian, automated editing, AI audiobook narration, and version tracking. This tool aims to boost productivity, ensure consistency, and enhance author accessibility.