The oceans cover the majority of our planet’s surface but much of their depths are still a mystery. Improvements in technology have allowed for the development of instruments on underwater platforms and autonomous gliders that are able to survey the world’s oceans. One instrument, called an AZFP (acoustic zooplankton fish profiler), emits high-frequency sonar pulses […]

This project assesses the feasibility of using drones to inspect aircraft for surface damage and defects such cracks, fractures or dents. The intern will first carryout a comprehensive literature review and environmental scan of the existing technology. He will then assist in developing and conducting a series of physical tests to determine the best camera […]

A veneer wythe protects the indoor environment and other building components against adverse outdoor effects, such as rain and physical impacts. Veneer walls are connected to a structural substrate (e.g. wood frame or masonry units) by ties. These are usually made of steel and therefore high in thermal conductance. The ties penetrate the thermal insulation […]

This project focuses on improving the performance of the real-time video streaming over Wi-Fi networks, in which losing packets is a serious concern. State-of-the-art methods try to improve the robustness of AL-FEC mechanisms by providing unequal protection to the packets. But such approaches are complex and increase even more the delays. In contrast, the proposed […]

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The three main objectives of the project are: 1. Leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of the company’s infrastructure. 2. Facilitate and accelerate deep neural network (DNNs) machine learning […]

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

This project will be a collaboration between the School of Interactive Arts at Simon Fraser University and Science World in Vancouver, British Columbia. A portable low-cost set of tools will be assembled to support “maker” activities, educational do-it-yourself building project that use electronics and personal fabrication technology. Personal fabrication technology refers to a new generation […]

Le transport adapté des personnes ayant des besoins particuliers est une activité qui demande des outils et méthodes de planification différents du transport collectif régulier. Dans ce projet, nous proposons trois éléments : 1) des modèles de prévision de la demande de transport adapté à court et moyen terme, 2) un outil de planification permettant […]

The majority of license producers (LP) Cannabis producers have witnessed evidence of powdery mildew and grey mold and bud rot diseases. Plant yields and ultimate profitability can be severely undermined by these diseases. Medicinal plants produce essential oils in the form of secondary metabolites. The essential oils have the potential to be used as antibacterial, […]

In natural selection, differential fitness relies on the chromosomal shuffling during meiosis that enables the production of haploid gametes that are genetically different. However, meiotic-induced genetic variability can be an economic burden to the animal breeding industry since offspring often do not inherit the most desirable genes from their parents. Although genomic markers are currently […]

The proposed research will enable customers to see personalized recommendations based on multiple factors such as their order history, their preferences and contextual information such as the meteo and the day of the week. The main expected benefit is to increase the average bill by showing personalized recommendation