Liquefaction is a destructive phenomenon which usually takes place after an earthquake in areas with water-saturated soil or sand. During the liquefaction process, soil loses its strength and can no longer support structures and buildings which often leads to their destruction. To prevent damages associated with liquefaction, it is critical to study this phenomenon and […]

Whether due to urbanization or climate changes, flood events have an impact on property value. Newly available geography data about flood risk zone have yet not been utilized to their full potential in Canada. This project aims to study the impact of the flood risk zone on the value of homes for Quebec City, and […]

In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the […]

Several studies have shown that water levels of the Great Lakes would inevitably decline in a warmer climate. These studies were based on a modeling system that was not accounting for two-way exchanges of water and energy between the atmosphere and the earth surface, hence excluding key feedback mechanisms. The general objective of this project […]

Fiber lasers have become the fastest-growing laser with a projected worldwide revenue up to $1.41 billion in 2017. In particular, fiber lasers at 1.65 ?m have drawn increasing attention with potential applications in chemical sensing, LIDAR and spectroscopy. All-fiber Raman lasing technology is a promising and efficient technology to achieve high power lasing at 1.65 […]

Today’s marketplace is moving faster than ever, and companies are challenged to distribute their products more quickly, efficiently and cost-effectively. This has led to the rise of cross-docking in the global supply chain to help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials from an incoming vehicle (e.g., […]

Aluminium smelter are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate […]

I propose a multi-species fish population monitoring project in Quebec’s largest lake (Mistassini), to facilitate community-based fisheries management. Mistassini is home to recreational fisheries for walleye, lake trout, brook trout and pike. With a 31% increase in the regional human population since 2001 and increasing fishing pressure, effective monitoring of Mistassini’s harvested fish populations is […]

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based […]

The partner organisation, Sigma Energy Storage, develops energy storage by gas compression. This technology is based on the storage of electricity from intermittent energy sources, such as wind or solar power. During the gas compression, carbon dioxide can be liquefied and extracted. This project aims to convert carbon dioxide into a valuable fuel, which could […]

The development of test means for aircraft flight control systems for is a complex, multidisciplinary and time consuming task. In this project a Master student will develop a reusable model-based development framework, based on an open source tool and methodology. This model-based systems engineering approach will allow the formalization of the generic aspects of the […]

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels (Hwang, 2016) can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on […]