The research project aims to examine the attitudes of Ukrainians towards Russians, particularly about the concept of ‘good Russians’ during the ongoing full-scale war. The study will include the exploration of the socio-historical background of Russian-Ukrainian relations, as well as the analysis of the changes in attitudes before and after the Russian aggression in 2014. […]

This project aims to evaluate the effect of mowing on the insect community living in meadow plant stems. Mowing is a necessary practice in meadow restoration in cities due to the need to control invasive plant species. However, past studies have shown that mowing can also contribute to increased mortality rates in a wide variety […]

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 […]

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 […]

Gene therapies are revolutionizing medicine, providing new therapeutics for diseases that previously were untreatable. In the central nervous system in particular, gene therapies hold great promise for saving lives and improving the quality of life of children and aged patients. The most common form of gene therapy that is used to treat patients involves the […]

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.