Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants […]

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits […]

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

This project will focus on the evolution of data models through the improvement of internal tooling to allow data self-service along with the operationalization of production-grade data pipelines in the field of bioinformatics, due to the immense amount of growth in the volume of data being produced from genome sequencing. With public data repositories that […]

An imminent challenge jointly felt in Asia and Canada is the issue of food scarcity, food insecurity, and lack of sustainable food options, particularly in rural communities To mitigate this issue, a number of Asian cellular agriculture companies have developed unique business practices and operating procedures and have created effective alternate market access pathways to […]

Development of new critical metals deposits are essential for the world to transition to a carbon neutral future. One important type of critical metal is lithium, essential for production lithium-ion batteries which are common in many consumer products including electric cars. This project will use a combination of geological mapping and in situ chemical analyses […]

This research aims to create a platform that can predict the impacts of cyberattacks on various financial assets, such as bonds, stocks, and a company’s credit risk. The focus is on the impacts of cyberattacks on the prices of financial assets listed on the Toronto Stock Exchange (TSE). Still, the prediction models and tools developed […]

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

Modern compilers have increasingly large number of complex optimizations to meet the prevalent demand of using Machine Learning (ML) and Artificial Intelligence (AI) in gaming and other applications. Optimization passes are program and architecture depend. Therefore, selecting the best optimizations in the most optimal ordering is a difficult task. While leveraging ML methods in compiler […]

AR/VR may be the next frontier for online human communications and interactions. The ability to produce photorealistic avatars dramatically improves the feeling of immersion and connection in applications utilizing AR/VR. However, current methods of face capture are time-consuming and involve expensive cameras and sensors. In this project, we explore deep learning methods for generating face […]

This research project aims to improve the performance of GPUs, which are important for running machine learning algorithms. GPUs are a fundamental architecture in machine learning, and this project will use transformer-based models to learn the program structure of GPU kernels for various downstream tasks like performance projection and metrics such as GPU utilization. The […]