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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Representation Learning in Knowledge Graphs

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 […]

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Boosting Robustness of Deep Neural Networks against Sparsity-aware Adversarial Attacks

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 […]

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Personalization of Web Tasking

A web task is defined as the set of services, sessions, and sequence of interactions that are required to perform a certain user objective. The current Web tasking model does not consider user preferences and context when executing a Web task. The proposed research project aims to improve the experience of Web users through personalization […]

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Petroglyph Complexes of the Upper Indus in Northern Pakistan – Digital Annotation of Visual Cultural Heritage

Complex sites with concentrations of inscriptions and rock drawings (petroglyphs) in the Upper Indus region in northern Pakistan are threatened with inundation in a flood zone of Diamer-Basha dam. These invaluable cultural heritage resources comprising over 30,000 petroglyphs and approximately 4000 inscriptions abraded into the desert varnish on the surfaces of rocks at dozens of […]

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Mutual avoidance behaviors of previously-concussed athletes passing through a doorway

The proposed study will extend the findings of the current literature through the following objectives: 1) to understand individual’s ability to use visual information to accurately avoid an approaching person; 2) determine the role of environmental objects (i.e., doorway) in regulating avoidance behaviours; and 3) determine any concussion-related avoidance behaviour changes. To meet these objectives, […]

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AI to increase statistical power in clinical neuroimaging

Many studies worldwide use neuroimaging to investigate whether there are abnormalities in the structure or function of the brain that underlie mental disorders. The sample sizes in these studies are limited because of the high cost of neuroimaging and difficulties in recruiting large numbers of patients if the disease is rare. This is a problem […]

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AI For Real-Time Embedded Applications: Honeypot Learning and Predicting for OoD Attack Patterns

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

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Gamification of Neurorehabilitation-Centric Hand Exercises Post Stroke or Brain Injury

Stroke is the number one cause of adult disability in the world. Due to the neurological damage from stroke, a vast majority of individuals suffer from hand function disability (~70%). To improve hand function and overcome challenges from this disability, IRegained has developed the MyHandTM system, a connected mechatronic device with programmed proprietary hand function […]

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