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 […]

This research proposes a way to make speed up video game testing by creating a tool that can understand how a player moves through the game without any special information. Usually, video games are tested manually to find bugs and problems, which takes a lot of time and effort. The proposed solution would use gameplay […]

This research project aims to develop AI based models for predicting visual saliency in gaming videos. Visual saliency refers to identifying the most relevant and important areas in an image or video. This technology has numerous applications, including improving video compression and optimizing the backlight dimming of displays, leading to better user experience and power […]

The overarching goal of the project is to seek insights into how teachers use assessment to gather information about student learning and to inform their instruction, and the challenges that teachers face in consistently implementing these assessments in their classrooms. It aims to explore how technologies can be leveraged to address the challenges and obstacles […]

This project aims to reexamine the relationship between representative institutions, property rights, and long-run economic growth in preindustrial Europe. We argue that (some) early parliaments contributed to growth not so much by restraining the sovereign from violating his subjects’ property rights as by facilitating the elimination of obsolete, anti-developmental property rights. Through comparative case studies […]