This project builds on ongoing research within the project ((Border-Crossing Books) which focused on the ways in which book cultures explicitly intersect with national identities in the twenty-first century. This project began by examining the circulation and reception of national literatures in the US, UK, and Australia from 2000–2020; this project will also be expanded […]

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As […]

A nuclear reactor to a nuclear power plant is the same as the heart to a living human. Safe operation of the plant is directly related to the health of the reactor. Just as human heart where blood circulates through to deliver oxygen to the other parts of the body, coolant passes through the reactor […]

Marine emergency incidents pose major environmental risks that are detrimental to the ocean ecosystem and present significant dangers to both people and property. Current response options are very limited and the existing tools to deal with nearshore environmental spills are neither timely nor efficient. SHIFT Environmental is developing innovative solutions as part of a Coastal […]

Electric machine condition monitoring and control techniques are being widely investigated for electric vehicle applications, which are essential to ensure high performance, efficiency, and reliability in electric traction drive system. However, the testing and validation of these techniques are challenging and have not received enough attention. Thus, the research project aims to propose new testing […]

Attention is a key process to many daily tasks but it is characterized by limited resources. In many high-stake domains, operators must perform complex tasks for long durations, which deplete attentional resources and promote error making. Yet, previous studies have shown that exposure to nature stimuli can help recovering those resources. The current project aims […]

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

La planche coréenne est une discipline de cirque présente dans presque tous les spectacles du Cirque du Soleil. Il s’agit d’une longue planche à bascule sur laquelle deux acrobates, placés à chaque extrémité, se catapultent continuellement pour effectuer des sauts acrobatiques. Les dimensions de l’équipement varient d’une compagnie à une autre, cependant, de nombreuses inconnues […]

Le projet de stage porte sur l’usage de la blockchain dans l’administration et la gouvernance scolaires. S’inscrivant dans un projet de recherche doctoral, il ambitionne d’y contribuer à l’analyse de cet usage ainsi que les changements que la blockchain – ou chaine de blocs – apportent ou apporteraient à la gestion et à la prise […]

Over the last few years, Nureva has experienced an increasing trend with their audio products being purchased for HyFlex (hybrid-flexible) classrooms across North America, particularly in higher education. Research shows that this is something many institutions are investing in and will continue to invest in beyond the COVID-19 pandemic. However, not a lot of research […]

Pipeline alerts are beneficial to analysts to determine where their attention is needed. However, a high false positive rate leads to a noisy stream and wastes analysts’ time. The first sub-project will aim to classify the alerts as either low or high likelihood of a false positive, allowing analysts to spend their time where it […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art deep-learning algorithms for joint few-shot classification and out-of-distribution (OOD) detection. Few-shot learning deals with the challenges of limited supervision, and OOD detection attempts to identify inputs that do not belong to the set of classes seen during training. The two research problems […]