Machine Learning for Particle Detection

The overall goal of the project is too improve the precision of CMS, a detector used in particle physics experiment. The project will focus on two aspects: improving photon and electron detection and improving jet detection (a shower of particles). In the detector, multiple particles are detected at the same time. Photons and electrons are […]

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Local Black History Internship Program

The Local Black History Internship Program will provide an undergraduate student from the University of Windsor with a unique opportunity to conduct research with a university professor and develop a museum exhibit for the Amherstburg Freedom Museum. This position will offer the intern insights into how the study of the past is conducted by professional […]

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Unions and the Macro-Economy

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 […]

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A framework to enhance deep learning systems’ trustworthiness against Out of Distribution examples

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 […]

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Novel fuel cell materials and designs for high performance

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) […]

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Adding Extra Constraints to an Open Platform for Industrial

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 […]

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Graphene-like-carbon coatings for thermal applications

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 […]

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Bright Minds & Bushy Tails: How education impacts animal-related attitudes in Japanese graduate students Japanese graduate students

“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 […]

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The effect of annealing on the deformation and impurity segregation mechanisms in electrodeposited nanocrystalline NiCo alloy

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 […]

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Comparing invariants of graph-theoretic ideals

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 […]

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Analyzing the potential of hydrogen fuel cell electric vehicles as distributed energy storage or generators to decarbonize transportation and power sectors

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 […]

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