Development of an online tool for crowd movement simulation research

Crowds are everywhere and studying them is important for urban planning, transportation, evacuation, and safety at large public events. Simulation modelling lets us study crowd behaviour by simulating large numbers of individual pedestrians and seeing how they behave as a crowd in different, sometimes dangerous scenarios. Simulation allows us to study situations that would be […]

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Real-time Automated Security Report Generation

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can […]

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Malicious/phishing Website Detection

Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites to trick users into trusting them. The goal of the project is to develop algorithms for detecting these malicious websites in two contexts: • detecting if a site visited by a user is a malicious site • detecting malicious sites that […]

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Intelligent Drowsiness Prognosis Using Chaos Theory

Drowsiness is considered the foremost cause of accidents in the mining industry. Studies estimate that up to 65% of annual accidents in mines are related to drowsiness. The total loss to the company’s assets is around $22.6 billion and operator lives are not replaceable. The lack of real-time drowsiness monitoring and prognosis in the mining […]

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Méthode algorithmique d’apprentissage pour améliorer l’impact de systèmes de dialogue

Le stagiaire entreprendra la tâche d’améliorer la robustesse des systèmes de dialogue de la Banque nationale. Afin qu’un système de dialogue soit apprécié par les utilisateurs, il est primordial que cette technologie réponde de façon appropriée à une question. Une erreur propagera de la fausse information et diminuera la crédibilité de l’organisation, deux graves problèmes. […]

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Linking hands-on learning education program and internship: A cooperative education to apply the forest inventory theories learned in the classroom to industry practice

Interns will participate in forest growth and yield (G&Y) research projects. G&Y studies are used to assess the impacts of forest management practices and to set harvest levels to safeguard sustainability. Conducting G&Y studies is a foundational skill provided by contractors or undertaken directly by forest companies or regulators who require the information. This work […]

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Improving technology for identifying environmental microplastics with machine learning

The average human consumes a credit card worth of plastic every week as a result of environmental microplastics. The tools and technology that are currently used to analyze chemical compound structures to identify polymer types in microplastics research are not well-calibrated for field-specific use. Raman spectroscopy data from microplastics samples is imperfect. Furthermore, plastics that […]

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Developing Novel Biosensors for Remote Detection of Cardiac Arrest

When a citizen collapses from sudden cardiac arrest (SCA), it must be recognized before anyone can call 9-1-1 or bystanders can start cardiopulmonary resuscitation (CPR). In more than 75% of all SCAs, no one is there to witness the event, and resultant survival is near 0%. To address delays in detecting SCA and administering CPR, […]

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Integrated Circuit Architectures for Photonic Computing

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in […]

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Research and Implementation of Haptics Device Integration With a DynamicsSimulation Engine and Applications to Milling and Drilling Force Feedback (third stage)

Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of the user directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments. In this project we particularly target two main objectives: (1) the multirate-simulation and […]

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