Wind turbine generator power output and consumer electricity demand vary independently from one another. This presents a difficult situation for electricity grid managers as they attempt to exactly match demand using wind turbines and conventional generators (e.g. hydro, fossil fuels). Accurate forecasting of wind turbine generator power enhances management of the electricity grid, allowing for […]

The Canadian Net-Zero Emissions Accountability Act 2020 has established an ambitious target of achieving net-zero emissions by 2050. Even though the measures stipulated in the Pan-Canadian Framework on Clean Growth and Climate Change have been helping Canada in making significant progress towards its climate action goals, the eventual goal seems distant. The pursuit for the […]

Artificial intelligence (AI) applications are being widely explored in industrial domain. In this project, we will develop an AI workflow for applying reinforcement learning in simulation models. The goal is to add intelligence in scheduling and dispatching tasks. Reinforcement learning (RL) is a sub-field of AI, where computers are trained to make decisions based on […]

This project aims to develop propagation techniques of biocrust species for mine reclamation. Biocrust -which is the community of mosses, lichens, algae, and cyanobacteria-, protects the soil surface from erosive forces, restore nutrient cycling, sequester atmospheric carbon and retains water in its matrix. Its establishment on reclamation sites is therefore very desirable. However, due to […]

Automated speech enabled human-computer interfaces have become essential for the competiveness of many Canadian industries. The demand for more natural, simplified, and low cost user interfaces has made voice enabling of telecommunications, automotive, and consumer electronics devices nearly ubiquitous. Commercially available automated intelligent assistants have been developed to guide customers through problem solving scenarios. The […]

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In […]

Risk Sciences International is currently completing a comprehensive risk assessment of the potential human health effects of manganese. This assessment involves a systematic review of the worlds’ literature on epidemiological and toxicological studies of manganese, following which an international expert panel has scored all of the adverse health outcomes identified through this review using a […]

Corrosion under insulation (CUI) is among the major damage mechanisms acting in Oil & Gas processing plants and chemical industries that causes process leaks, and the failures of thermally insulated systems. The hydrocarbon leaks from CUI result in the increased carbon footprint and can even cause catastrophic fires. CUI triggers from inevitable moisture ingress in […]

Our research proposal will explore the unified airway theory and determine whether the sinuses express biological similarities to the lungs in participants who only clinically present with Chronic Rhinosinusitis (CRS)or asthma and not with both diseases. The unified airway theory suggests that the lower (lungs) and upper (sinuses) airways are intrinsically connected and function together […]

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods. We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly […]

Apples are among Canada’s most valuable fruit crops, and the improvement of apple varieties is crucial for the success of the industry. Breeding apples is expensive and time consuming, requiring decades of investment. A better understanding of the relationship between genetics and fruit traits will allow for more efficient breeding. Current apple breeding techniques make […]

Les arbres urbains assurent des services écosystémiques de grande importance pour les communautés urbaines dont la séquestration du carbone et la captation des polluants atmosphériques. Toutefois, dans le but d’améliorer les pratiques de verdissement en milieu urbain, il importe de quantifier adéquatement l’efficacité des différentes essences d’arbres à fournir ces services écosystémiques. Pour ce faire, […]