Technologies for Improved Sustainability of Long-Life Flexible Pavements

A sustainable pavement is one that is safe, smooth, efficient, economic, and environment friendly, meeting the needs of present-day users without comprising those of future generations. Sustainable flexible (asphalt) pavements, in particular, are those that minimize environmental impacts through the reduction of fuel and energy-based materials (asphalt cement, for example) consumption, more effective use of […]

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Described Video and Language Detection on Audio-tracks Using Machine Learning

Bell Media receives content from different providers, including content it produces in-house. There are standards for tagging audio tracks with metadata however many facilities (including Bell) do not adhere to these standards. Currently Bell uses a manual approach to classify unlabeled audio tracks, which is inefficient, and time consuming for massive digital media that Bell […]

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Interpretable Machine Learning for Predictive Analytics in Employee Benefits Insurance

In recent years, many machine learning methods have been developed for predictive analytics and automated decision making. However, the lack of explanation resulted in both practical and ethical issues. In this project, we will employ and advance interpretable machine learning methods for various predictive analytics tasks in employee benefit insurance. The proposed methods can be […]

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Explore efficiently automated parallel hyperparameter search for optimizing machine learning models over large scale cloud cluster

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]

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An Investigation of Service Mesh(es) and Security Models Within and Across Multiple Distributed Systems

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated infrastructure changes. Moreover, bridging the service layer across multiple, distinct distributed systems of varying complexity will pose new […]

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The Short- and Long-Term Impacts of the COVID-19 Pandemic on Ontario Manufacturers, Manufacturing Employees, and Supply Chains

The COVID-19 pandemic has had an unprecedented impact on Canada’s economy. More specifically, it has: 1) exposed deficiencies in supply chains, causing manufacturers to pivot production in order to improve the supply of essential goods (e.g. medical devices, personal protective equipment, sanitizer), 2) demonstrated the important role that manufacturing plays in a well-functioning economy and […]

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Applied Machine Learning for Early Detection of Retinal Toxicity

Hydroxychloroquine (HCQ) is an anti-inflammatory drug that is widely prescribed for a range of auto-immune disorders such as lupus and rheumatoid arthritis. An unwanted side effect of long-term use of HCQ is vision loss by retinal toxicity. If detected early, it could lead to early intervention to prevent vision loss and improve the quality of […]

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Machine Learning for Cancer Treatment Plan Benchmarking

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

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New Method for Delivering Protectants into Honey Bee Hives

Pollination services provided by honey bees is imperative to crop production in Canada. Unfortunately, honey bee health is compromised by pests and diseases leading to the decline and/or death of hives and decreased pollination. In this project we will implement the usage of a special inspenser to bring in materials that will protect the honey […]

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Private Sector’s Role in Chronic Disease Management in Kyrgyzstan

This study will systematically review the role of the private sector in the management of NCDs (including cardiovascular disease, cancer, etc.) in developing countries, and its implications to Kyrgyzstan. We will try to understand how low- and middle-income countries with similar GDP per capita, disease burden, and health system needs have harnessed the capacity of […]

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