MLSE LaunchPad is a sport for development (SFD) organization in Moss Park, Toronto that uses sport and physical activity to build healthy communities. A trauma- and violence- informed approach is a treatment practice used to provide safe and inclusive spaces for traumatized youth, however, it is rarely incorporated in SFD programs. In collaboration with MLSE […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

The COVID-19 pandemic has exacerbated the challenges Canadian manufacturers face in managing increasingly complex, multi-tiered global supply chains, including a wide rang of sustainability issues ranging from forced labor to carbon emission management. Industry 4.0 technologies – including the internet of things (IoT), blockchain, and machine learning – can potentially address these issues via enhanced […]

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS […]

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all […]

In recent years, significant attention has been paid to ending chronic homelessness in Canadian communities. As communities implement these initiatives, they confront many practical problems. Given the nuances of implementation and the many decisions and compromises that communities need to make, having a robust and thoughtful community engagement and co-design process that incorporates the relevant […]

The goal of this work will be to better understand the lensing of astrophysical sources such as pulsars and fast radio bursts (FRBs). Lensing is a phenomenon that occurs when clouds of material pass in front of a source, such as a star, causing the source to change in brightness, much like a magnifying glass […]

A quantitative risk prediction model is to be constructed. We need to determine if the available data will fit an existing model and validate the results or if a new statistical model is required. Each case will be allocated into one of three categories (low, moderate and high risk). This stratification must have clinical validity […]

Uncertainty at the upstream supply of agricultural products has been a challenge for growers. This uncertainty governs the market of non-strategic crops such as perishable field vegetables by affecting suppliers (or growers), distributors, and consumers. It causes too much or too little supply and consequently unexpected price variations. The supply chain of perishable food is […]

This project aims to measure the credit risk of Sun Life structured assets portfolio. The objective is to evaluate the accuracy of different methods to assess the credit risk of these types of financial instruments and to evaluate their advantages and limitations. Two methods are proposed to assess structured finance assets risk: Loan Equivalent Approach […]

The Laboratory for Artistic Intelligence brings artists and artistic methods into parts of society where more imagination and creative approaches are needed. Chief Artistic Officer Helen Yung has a track record of introducing new ways of thinking about policy development in order to by-pass flawed assumptions and build effective solutions. During subsequent conversations with a […]