Forests provide habitat to more than 65% of terrestrial biodiversity, yet are being eliminated or greatly simplified at an alarming rate under global change (GC). Current forestry practices tend to favour a handful of species, without considering resilience of resulting forests to GC. During the past two decades, studies have investigated the complex relationships between […]

One of the main concerns in modern educational research is how to implement classes that are interactive and to provide a better learning environment for students. Among these trends, ambitious teaching refers to a set of principles that emphasize student-centered and investigative learning. However, teachers need support from their trainers to successfully implement these ideas. […]

The molecular mechanisms responsible for the occurrence of metastatic cancer are beginning to be elucidated with the identification of key regulators. Increasing evidence points to tumor cell epithelial to mesenchymal transition (EMT) as an important contributing process to metastatic evolution. The identification of factors that are stimulated during EMT might provide the means to develop […]

Asset allocation – the decision of how to divide a portfolio among the major asset classes such as cash, stocks and bonds – is a key determinant of portfolio performance. Because financial markets go through periods of strong and weak economies, the performance of an asset class varies with shifting economic conditions. These regime shifts […]

The wild food system of northern Quebec is a critical natural resource, health resource, and cultural resource of the people of Eeyou Istchee and Nunavik, which has and will be impacted by climate change in many, diverse ways. The research proposed here seeks to identify the likely climate change impacts on key wild food species […]

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, […]

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still […]

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]

Dairy production in Québec, Canada, contributes for 38% of the province agriculture-related greenhouse gas emissions. These numbers could however increase in the near future due to the evolution in manure management of dairy farms. A model (N-CyCLES), providing a whole-farm perspective considering on-farm interactions to determine the cost-effectiveness of overall strategies, will be used to […]

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are […]

This research aims in utilizing agriculture wastes in production of sustainable eco-friendly construction materials for farms building. The mechanical and durability performance of the proposed eco-friendly construction material exposed to the aggressive agriculture environment will be evaluated. The research will investigate the effects of different factors mainly related to physical properties of used wastes and […]

Wearable devices such as smart watches are increasingly being used for clinical applications. The Octopus Watch, developed by Joy, helps children structure their days by giving reminders about upcoming events. Our pilot studies have shown that the watch may also be used in suggestion-based healing paradigms to improve self-regulation, focus, and relaxation in children with […]