Canada’s boreal forests are dynamic landscapes whose forest structure and biodiversity are altered by both natural and anthropogenic disturbance. Timber harvest is one of the dominant anthropogenic disturbances in these forests. We need to better understand how the biodiversity within these forests recovers after harvest. In this study we develop biodiversity recovery curves for harvested […]

Mental health problems in older adults (>65 years old) are becoming increasingly prevalent in Canada, with high rates of depression, anxiety, and social isolation found in long-term care facility residents. These psychological challenges are being exacerbated by the COVID-19 pandemic. There is thus a need for effective and innovative health strategies to help support older […]

The coronavirus pandemic has elevated global health governance from a “low politics” position in foreign policy practice to an economic and security priority of international importance. Conventional foreign policy approaches to pandemic management have proven ineffective in the time of Covid-19, as states struggle to fulfil public health obligations in an increasingly globalized world. Canada’s […]

The project aims at developing a new type of Reinforcement Learning algorithm that would allow to retain more control over the artificial agent once its training is completed. This framework would combine modern unsupervised modeling techniques to capture the variability of a set of demonstrations and user-defined programmatic functions that can characterise particularly important factors […]

A prototype Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications. Foreign currency trading (Forex) is a high risk activity where low stakes multiply out to large gains and large losses.The trading activity is time dependent and […]

The raw materials that support and accompany the development of society will always be essential beyond the technological evolution. The challenge is to renew the reserve of natural resources at great depth. For new exploitation of these resources, the borrowing of old infrastructure of mining camps above and below the ground makes it possible to […]

To reduce the greenhouse gas (GHG) emissions from goods transportation low-carbon fuels can be combined with high-efficiency engine systems. Gaseous fuels such renewable natural gas and hydrogen offer low net GHG emissions from efficient direct-injection engines. These engines use high fuel injection pressures that need to be supplied during operation by a compressor on the […]

Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, […]

Hydro-Québec, as a major power generation company, uses models to estimate the service life of turbine runners so as to avoid unpredicted halts of power generation equipment. For these models, the location, the orientation and the size of welded joint flaws are some of the most influential inputs. Since ultrasonic testing (UT) methods have been […]

The project seeks to discover the optimum design and commercialization strategy for newly developed sandwich structures derived from recycled plastic for the civil engineering sector. The sandwich structures are highly sustainable and could potentially consume large amounts of the rapidly produced plastic waste. The final sandwich product would have the potential to be used in […]

The proposed research project is the virtual delivery of an existing program provided by the partner organization, Calgary Reads. LENA Start is a group program offered to parents of children aged 6 months to 3 years. The goal of the program is the provide parents with information regarding language development in the home and practical […]

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]