The proposed research project aims to understand the experiences of Ukrainian students who are studying in Canada as the result of the war in their home country. The project will investigate how immigration and education are connected and examine the specific programs and initiatives that have been created to support these students. By conducting interviews […]

Residency is a rigorous and highly demanding part of medical education during which time there are multiple demands on trainee’s time and often as a result high rates of isolation and burnout. This is especially prevalent during the final examination year of training. Several factors have been identified by students to be protective and supportive […]

A scientific problem (theoretical or applied) that the research solves. The proposed research topic is a continuation of scientific research on private law in Ukraine. It is focused on the formation of a holistic concept of temporal regulation of private law relations from the point of view of the institutional way of establishing private law. […]

Datahoot Technologies Inc applies text-mining technology to perform international trade data analysis, and enables our customers (small and medium B2B enterprises) to gain quick and in-depth insights into their markets so that they can generate actionable sales leads or prospect new vendors. The goal of this project is to develop a text-mining API (application programming […]

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

“Precision seeding” is a new approach to forest restoration that seeks to place tree seeds in locations to maximize establishment success using drone technology. Coating seeds with biochar – a form of charcoal made from waste materials – is a new innovation in this area, but it is necessary to find the right binding agent […]

The project is to develop an environment recognition system using computer vision and deep learning techniques (i.e., image or video classification of walking environments) and to further develop a functional prototype of an AI-powered glasses. The designed system could achieve high prediction accuracy on real-world visual data and be efficient for onboard real-time inference with […]

Mesenchymal stromal cells (MSC) exposed to stiff environment lose regeneration potential and acquire a scar-producing myofibroblast (MF) phenotype. We published that 4-weeks culture on soft-tissue-like surfaces not only prevents acute MF features but imprints memory that protects MSC from subsequent mechanical MF activation. Epigenetic methylation of DNA by methyltransferases (DNMTs) memorizes MF phenotype in disease. […]

Bitcoin! Ethereum! Cryptocurrency! Blockchain! In the past years, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are […]

The current Sun Life anomaly detection methods are based on human inspection. The method is labour intensive and only a relatively small number of cases can be reviewed. There is no guarantee that the most suspicious interactions are in fact being sampled and reviewed. In this project we will focus on the develop of novel […]

Oncoustics is a startup, focused on AI-based diagnostics and point-of-care ultrasound. Data collection and clinical partner site management are critical operations for Oncoustics as they play a pivotal role in ensuring the accuracy and reliability of the ultrasound data collected. Clinical operation management and the resulting data collected are essential for conducting meaningful clinical research […]

The project proposes to unpack the student transportation system through a comprehensive examination of legislative frameworks, in tandem with the lived school travel experiences of families living with childhood disability and school travel practitioners. The research aims are:(1) To understand how policy frameworks (e.g., international, federal, provincial, and municipal) shape school travel experiences for families […]