Non-invasive imaging of hemodynamics is known to enhance screening and monitoring of cardiovascular diseases (a leading cause of death in Canada’s aging population), however clinicians lack an imaging tool that can visualize the complex 3D and dynamic nature of hemodynamics in real-time. To meet such clinical needs, this project will aim to devise the first […]

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

Quadrotors are one of the most popular choices for unmanned aerial vehicles (UAVs) in situations where fast disturbance rejection, vertical takeoff and landing (VTOL) capabilities, and maneuverability are required. However, the quadrotor is inherently underactuated, and as a result, it is impossible to independently control the orientation and position of the vehicle. One solution to […]

Reinforcement learning (RL) provides a unified framework for sequential decision-making problem, where a computer agent interacts with an environment while trying to learn optimal decisions to maximize its long-term reward. This makes RL a suitable choice for many real-world applications, including finance. RL applications in finance have created a lot of in-depth innovation such as […]

Le présent projet vise à mettre sur pied un outil d’intervention utilisant la réalité virtuelle afin de favoriser le développement de saines habiletés sociales et affectives chez les adolescents. En collaboration avec la Fondation Jasmin Roy, le stagiaire sera ainsi appelé à participer à la création de scénarios sociaux qui seront projetés par le biais […]

Social networks like maps with real-time traffic are good examples of streaming graphs. These streaming graphs are processed and analyzed to answer the queries in real time. Conventional iterative graph processing algorithms estimate the results by approximating the intermediate values. Upon receiving a query, the computation is performed on these intermediate values. This setting gives […]

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) […]

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict […]

The proposed research project is aimed at the development of text-to-speech systems that leverage the power of deep neural networks. Our goal is to leverage powerful generated models for speech and combine them with mechanisms to incorporate text information. We hope to explore several such techniques and propose novel methods to achieve this goal. The […]

Il a été démontré que les tumeurs exploitent certains mécanismes liés aux récepteurs immunitaires (point de contrôle) pour échapper à la réponse immunitaire. La mise sur le marché d’anticorps monoclonaux (mAbs) approuvés par la FDA, pembrolizumab et nivolumab en tant qu’inhibiteurs du récepteur immunitaire programmed death-1 (PD-1), et du durvalumab et de l’avelumab qui ciblent […]

The project aims to analyze the through-thickness compaction of dry fibrous reinforcements at the mesoscopic scale. Predicting how fiber tows deform during the compression of woven fabrics is important in resin injection processes because textile deformation plays an important role on permeability. Fiber orientation governs also mechanical performance. Hence, compaction represents a key issue that […]

Undertaking this project through Mitacs Globalink will provide me with a rare opportunity for extended time with the expert scholars, specialized research institutions and archival material in England that will allow me to greatly enhance the research component of my dissertation while also forming important links to a community of international researchers. I will be […]