Winterpixel

Winterpixel Games Inc. is developing Gatherwood Grove, a large-scale multiplayer game that currently relies on an inefficient system where game world data is constantly regenerated and discarded. This project aims to build a new “persistent” storage architecture that allows the game to permanently save world data and player changes, rather than deleting them when players […]

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AI-Enhanced Personalized Step Detection Algorithms for Older Adults Using Wearable Sensors

Current step-counting algorithms in wearable devices are inaccurate for older adults because they were designed and tested on younger populations. This creates measurement errors that undermine physical activity monitoring for the group that needs it most. This project will analyze accelerometer data from older populations to identify gait characteristics such as cadence, walking speed variability, […]

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Leveraging Large Language Models to Investigate Machine Learning Specific Code Smells: An Empirical Study

This project seeks to improve the understanding of how Machine-Learning (ML)-specific code issues arise during software development by using Large Language Models to analyze developers’ code changes over time. An automated framework will be created to track code updates, detect ML-related issues, and identify the type of developer activity (feature development, bug fixing, enhancement, or […]

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Studies of Magnetic Fluctuations and Disruption Dynamics Using Internal Mirnov Coil Array in the STOR-M Tokamak

Tokamak is the most promising magnetic confinement fusion reactor configuration for clean energy with practically inexhaustible fuel supply on the Earth. Even though significant progresses have been made, challenges still exist. For example, catastrophic disruptions due to various instabilities in tokamak must be avoided since the sudden interruption of a huge current may destroy the […]

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Engineering Curvature in Metal-Embedded Molecular Macrocycles

Macrocycles are ring-shaped molecules with internal cavities that can interact with single molecules, ions, or small clusters, making them valuable across areas such as catalysis, optoelectronics, sensing, and environmental remediation. Most known macrocycles are purely organic because their synthesis is well established, while macrocycles that incorporate metal atoms directly into their ring backbone remain rare […]

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Reconstructing Past Redox and Microbial Environments in Deep-Sea Ferromanganese Deposit Minerals

Deep-sea ferromanganese nodules and crusts are not only potential resources for critical minerals such as cobalt and nickel, essential for the green energy transition and secondary battery technologies, but also valuable geological archives recording millions of years of ocean environmental history. However, traditional bulk geochemical analyses often fail to capture the fine-scale chemical and biological […]

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Generation and Characterization of Camelid Nanobodies for Applications in Biomedical Research

Proteins control nearly all biological processes in animals, including growth, metabolism, immunity, and responses to stress or disease. To understand how proteins work, scientists often need tools that can bind to them very specifically and stabilize them for study. Nanobodies are a new type of antibody fragment derived from camelids such as alpacas. Unlike traditional […]

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The Business of Development Aid: A Case Study of For-Profit Development Contracting in Timor-Leste

This project proposes the use of ethnographic research to analyze for-profit development aid programs in Timor-Leste by examining the everyday interactions of global and local contractors and the technologies of governance through which development work is shaped. The internship would function as an immersive 12-weeks training experience in anthropological research methods for Audrey Lefort. Dr. […]

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Advancing nonstationarity hydroclimate frequency analysis through regional information and multi-covariate models

This project aims to improve the prediction of extreme precipitation by enhancing a widely used open-source tool for frequency analysis. Predicting these extremes remains challenging, particularly when incorporating physical covariates and complex models, which often lead to instability in estimation methods. The updated framework will include advanced models that account for a changing climate using […]

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Prototyping Quantum MRI Structures

The Mitacs Intern will join a team of summer students who will be working on the design of novel Magnetic Resonance Imagers (MRIs), that will include, in the coming summer, a novel new Quantum MRI design that the Intern will be focusing on. The Quantum MRI design uses a quantum material in sensitive magnetometers for […]

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Towards Real-time Assessment of Drift Conditions during Potash Mining

The safety of underground mining operations depends heavily on monitoring and management of various hazards that can arise within mines and their supporting infrastructures, particularly the drifts (tunnels). Drifts are critical pathways within mines, and their structural integrity is paramount to ensure the safety of workers and equipment. Traditional methods of evaluating drift stability often […]

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