The QWeMA division of CANNEX develops solutions for the financial and insurance industry of North America. Our analytics play an important role in determining the value proposition of investment products. Our solutions help the financial community and public through their financial advisors to be able to make informed decisions. We work at the intersection of […]

Goldcorp recently announced a new initiative referred to as H2zero with the goal of reducing water usage in their mining operations by 80 to 100%. Mineral processing and specifically comminution and mineral separation are the main consumers of water. This research focuses on dry comminution technologies and represents a first step towards advancing dry comminution […]

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform. Image style classification is the […]

Calves in dairy production systems have been traditionally fed low amounts of milk to encourage solid feed intake which is thought to minimize stress during weaning. It is unclear how feeding an elevated amount of milk pre-weaning and the digestibility of the solid feed has on gut health and function in dairy calves – which […]

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning system works best under certain financial conditions using our proprietary trading algorithms. EquitySoft benefits from this research by being able to leverage expertise on applied machine learning to AI-based […]

Copper and palladium (Cu-Pd) mineralization at the Marathon Deposit are associated with gabbro rocks. It is fundamentally important to be able to distinguish among the different types of gabbros, because only those of the Marathon Series are host to mineralization. This is accomplished through logging drill core, whole rock geochemistry and mineralogy. Mineralization at the […]

Robots are increasingly seeing use in manufacturing. However, current robot technology is not sufficient to perform all tasks. Researchers have proposed using human-robot collaborations to exploit robots’ ability to do repetitive and boring jobs and the ability of human workers to perform fine-motor skills in unstructured environments. In the proposed research, we consider algorithms to […]

It is estimated that the average person spends up to 50% of their waking hours thinking about things other than what they are presently doing (i.e., mind wandering). This internal form of distraction along with its external counterpart (i.e., external distraction) are associated with performance deficits during everyday activities, such as reading or driving. Moreover, […]

Nearshore marine ecosystems are undergoing change, with ecological, economical and cultural ramifications. Yet, we lack empirical understanding and observation of the nature of this change, over long periods of time and across continental coastlines. Additionally, the drivers of change in coastal systems are numerous: climatic forcing, predator recovery, and development of foreshore areas, amongst others. […]

Lithium batteries, developed during 80’s, are used more and more as energy sources for electronic devices, hybrid or electric vehicles or other uses. Another application currently in development is the use of lithium batteries to stabilize the energy grid system and energy fluctuations from renewable energy sources such as solar and wind power. Hydro-Québec is […]

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks […]

Due to increasing miniaturization, future systems will be made of components that are more energy efficient and at the same time more sensitive to external radiation. To ensure that future systems remain protected against cosmic radiation and single events, aircraft and flight systems manufacturers must collect in-flight data for cosmic radiations and develop a global […]