Implementation and advancement of algorithm for extracting oxygen saturation data from multispectral analysis of the eye

To work on the development of a tool enabling the measurement of blood oxygenation in the eye in vivo, using non-invasive methods. More specifically, the student involved will work on the development, implementation, and advancement of an algorithm for the measurements of oxygen saturation (through oxyhemoglobin content) in the retina.

Interaction of Cyclin-dependent kinase 2 with CR6-interacting factor 1, and the inhibitor search for such interaction against leukemia treatment resistance

Cyclin-dependent kinase-2 (CDK2) regulates cell cycle, whose structure and biological characteristics are well known. CRIF1 plays a regulatory role in the bone marrow microenvironment-induced leukemia cell cycle arrest through inhibiting CDK2. In this multi-disciplinary research, we will use a combined structure function study to reveal the interaction between CDK2 and CRIF1. This will facilitate the design of inhibitors for the interaction of the two important proteins, for eventual treatment of leukemia.

E-Community Health and Toxicity

Online communities abound today, arising on social networking sites, on the websites of real-world communities like schools or clubs, on web discussion forums, on the discussion boards of videogames, and even on the comment pages of news sites and blogs. Some of these communities are “healthy” and foster polite discussion between respectful members, but others are “toxic” and devolve into virulent fights, trolling, cyber-bullying, fraud, or worse even, incitation to suicide, radicalization, or the sexual predation and grooming of minors.

The impact of Flood risk on the value of residential property: The case of Quebec city

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 to identify other regions in Canada where similar conditions could affect housing value. The development of a strategy to expand the aim of research at the country-wide level will else be part of the project.

Assessing Impacts of Climate Change on Laurentian Great Lakes Water Supply using Regional Climate Models

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 is to improve our understanding of the Great Lakes water resources and its sensitivity to climate change.

Assessment of biomarkers for the non-invasive diagnosis of male infertility

Infertility is a health issue that affects over half a million Canadian of childbearing age. Half of these cases are related to male reproductive dysfunctions. While semen analysis provides information about some causes of male infertility, about thirty percent of these cases remains unexplained. In this context, the main goal of our project is to assess the potential of target molecules, which are secreted from the internal organs of the male reproductive system into the seminal plasma, as biomarkers for the non-invasive diagnosis of infertility.

Validation of food allergen analytical methods and their incorporation in food process control practices – aiming for more predictable, risk-based quality management systems for processed foods

The planned research aims to validate food allergen and gluten testing tools, and their incorporation in novel quality-management systems used in food production. It will leverage existing methodologies developed by r-Biopharm Canada (r-BPC), over the past decade through its parent company.

Stochastic optimization of a hydroelectric production system for the aluminium industry

Rio Tinto operates aluminium plants in Saguenay that are powered by their hydroelectric system. An efficient management of water available in the system is primordial to ensure energy supply to the aluminium smelters. This quantity is uncertain since the exact inflows in the reservoirs are unknown when decisions are taken. Stochastic optimization is used to make decisions under uncertainty. Mid-term optimization models determine reservoir volumes while short-term models dispatch the available water as efficiently as possible between the power plants and turbines in the system.

Novel Approaches for Practical Machine Learning

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making practical machine learning.

Songs in the key of brain health

Led by Professor Pascale Tremblay in the university’s Department of Rehabilitation, the project has provided a unique research opportunity for Anne-Christine Bricaud, who travelled from France to spend the summer as a Mitacs Globalink research intern. She’s working with a team at Laval to determine the effects of group singing on communication and brain health, especially among senior citizens.