This research proposes to examine the relationship between unionization in Canada and Canadian rates of employment, unemployment, and the distribution of earned income. Particular attention will be paid to the institutional environment in which unions and collective bargaining exist. The problem to be explored is the way in which the institutional environment (such as laws […]

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the […]

Polymer electrolyte membrane fuel cells are a promising solution to addressing climate change, as they can produce emission free energy on demand using hydrogen as fuel. Despite their benefits, many challenges remain in the way of widespread commercialization of these devices. Specifically, components such as the gas diffusion layer (GDL) and catalyst coated membrane (CCM) […]

Acculogic develops state-of-the-art testers for short-batch electronic circuit boards (ECBs). The order in which the required tests are performed affects the amount of shuttle and probe movements required between the tests, and this affects the overall efficiency of the test procedure. Unique characteristics of the problem (e.g. the ability to move one set of probes […]

The focus of this project is focused on developing thermal transport coatings, which makes use of a new proprietary graphene-like material developed by 3M Canada. The need for improved thermal transport coating is important to numerous optoelectronic applications, photovoltaics and in particular the semiconductor industry as computing power continues to increase. The proposed research will […]

Comprised of a small chain of amino acids, therapeutic peptides are a unique class of drugs that have played a significant role in medicine since the discovery of insulin. Despite their importance in Pharma, the discovery of new peptides and the improvement of existing therapeutics remains a highly specialized domain and has not seen the […]

“Iyashi” (i.e., well-being) can stem from human-animal interactions (HAI), like those developed through companionship, animal-assisted therapies, or animal cafes. Research suggests that prolonged exposure to, or education about, non-human animals may lead to a greater understanding of non-human animal sentience. What could be the impact of a short-term educational program on attitudinal change? This study […]

Fully dense nanocrystalline alloys have high strength, hardness, and wear resistance due to their extremely fine (nano) crystals. This makes them of significant interest in different industrial applications which require excellent mechanical properties. A new nanocrystalline nickel-cobalt (NiCo) alloy, currently being developed with Integran Technologies Inc, Mississauga, Ontario, has a good combination of strength and […]

In this project, we study a connection between graphs (also called networks) and algebraic objects known as ideals. Graph theory is a major branch of modern mathematics, with diverse applications to society and industry such as transportation system modelling and social media marketing. The simple yet fundamental algebraic structure of an ideal encodes important information […]

Decarbonizing the transportation sector and scaling up energy storage are critical for the transition to a net-zero economy. This project will study the potential of connecting fuel cell electric vehicles (FCEVs) to the electrical grid as distributed energy storage and/or electricity generators to supply electricity to the grid when needed. This FCEVs-to-grid pathway can maximize […]

Mastercard is looking to make transactions simple and secure for its customers and vendors across the globe by harnessing the power of graph learning. In this project, the power of graph-based deep learning will be utilized to develop a system that can detect fraud entities, anomalous communities, etc. This track will enable card users and […]

Over the past few years, deep neural networks (DNNs) have been used to solve a wide range of real-life problems. However, DNNs are vulnerable to adversarial attacks where carefully crafted input perturbations can mislead a well-trained DNN to produce false results. As DNNs are being deployed into security-sensitive applications such as autonomous driving, adversarial attacks […]