En 2017, l’île d’Anticosti a été retenue sur la Liste indicative des sites du patrimoine mondial du Canada, première étape d’une reconnaissance par l’UNESCO. La Municipalité de l’île d’Anticosti et son partenaire Nature Québec ont interpellé l’Université Laval pour les appuyer dans l’élaboration du futur système de protection de l’île. L’objectif du projet sera d’évaluer […]

Une des conséquences importantes des changements climatiques et des changements dans l’utilisation du territoire sur les lacs canadiens est la mise en péril de la prestation de services écosystémiques cruciaux telles la production d’eau potable et la pêche récréative et commerciale. Dans un monde en constant changement, il est primordial d’être en mesure d’identifier les […]

COPD is a progressive inflammatory airway disease characterized by persistent and progressive airway inflammation. It is a major cause of global morbidity and mortality and is predicted to become the third leading cause of death by 2020. Biomarkers may be useful for diagnosing disease considering that the usually used lung function measures have poor correlation […]

Many therapeutic targets are proteins embedded in the membrane that surrounds the cell. Traditionally, such targets present major challenges, because they required the use of detergents to extract them from the membrane and to purify them. Such detergents can cause artefacts, hampering the development of novel therapeutics. Here we will test new methods that get […]

The main goal of this project is to design a UAV-based image acquisition system to capture high quality full body images which will be integrated into DermEngine Full Body Imaging (FBI) module. With this system, we intend to achieve consistency between different images that FBI needs to analyze. We also plan to deliver an easy-to-use, […]

The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water […]

Throughout western Canada, declines in woodland caribou (Rangifer tarandus) continue at unprecedented rates. Caribou calves are especially vulnerable in their first four weeks of life, after the calving period. During this time, mother caribou must effectively select habitat that is rich in food resources, but also minimizes likelihood of predation. In the Rocky Mountains of […]

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be […]

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from […]

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical […]

In this project, we are interested in device-free methods that passively sense, monitor, and track people’s indoor presence, location, and movement using off-the-shelf Wi-Fi-enabled devices. We use information extracted from the physical layer of wireless links to detect and interpret human presence, location, and physical activities. The current design and implementation of Wi-Fi-based systems exhibit […]

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]