Excess water in the road base can lead to damage to roads from several mechanisms including decreasing stiffness of road base, freeze-thaw cycles, and swelling/shrinking of subgrades in expansive soils. Reducing the time that a pavement system is saturated is known to increase the lifespan of roads. Recent innovative geosynthetic products can further remove water […]

High voltage electrodes will be used to remove the frost from the front part of the fin and tube evaporator inside the case of the refrigeration system provided by the company. Over the period of a few hours the frost buildup can become quite substantial on the fin leading edge. It is expected that the […]

The project focuses on the design, modeling/simulation, and testing of photonic devices, and the co-design of electronicphotonic integrated circuits, to realize transceivers that can be commercialized for use in both wireline, e.g., passive optical networks (PONs), and wireless, e.g., 5G backhaul, access networks with an emphasis on meeting the reach requirements for remote and underserved […]

Le radar développé par Morphée+ détecte avec une grande précision la présence de 1 à 3 sujets/objets mobiles dans une pièce vide ou avec des objets immobiles. Cette identification des mouvements est affectée lorsque d’autres objets ou sujets sont en mouvement dans la pièce. La méthode utilisée actuellement par Morphée+ se base sur l’utilisation de […]

The project, “AI/ML Data Analysis of Fashion Consumer Trends in Social Media: An Impact Report for Canadian Businesses,” aims to analyze fashion consumer trends on social media platforms and produce an impactful report for Canadian businesses. The intern will employ and develop advanced data analysis techniques to collect and process data from various social media […]

The intern will participate in an interdisciplinary project on advanced manufacturing strategies for autoinjectors, which have become increasingly popular due to their convenience and reliability in administering medications. While the Epipen is a well-known example, other medications, such as Noxalone, use this delivery system. The scale and extent of autoinjector manufacturing in Canada are unclear, […]

Many real life decision consider a multitude of criteria, one such example is in healthcare where the patient’s condition, available resources, chance of recovery, cost etc all need to be consider when administrating care. An analytic hierarchy process makes the multi-criteria decisions by first converting the problem into a set of mathematical constraints by pair-wise […]

Mental disorders have a significant influence on the daily activities of Canadians. Musical intervention can provide a non-invasive treatment through changing emotional state and creating positive mood. The main objective of this project is to provide a long-term solution for musical intervention through an optimized machine learning framework for an intelligent real-time emotion recognition and […]

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely […]

Japan is a leading example of a nation with a rapidly ageing society and currently consists of the highest proportion of elderly adults worldwide. Among others, this has led to a series of downstream concerns, including labour shortage issues and reduced ability of working individuals to finance those who are retired. As one of the […]

This project aims to conduct research towards the development and implementation of photovoltaic energy generating windows. Through the use of window coatings, the windows of an everyday home will be converted to a source of generating energy to power the home. This research will take us a step closer to our goals of net-zero by […]

Monocular depth estimation aims to infer the distance information of objects in a 2D image. It is an integral part of many computer vision tasks and has applications to autonomous driving, robotics, and virtual reality, among others. This project focuses on developing a new deep-learning-based monocular depth estimation method with high efficiency, competitive performance, and […]