Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

Applications of wireless security approaches are increasing in number by the day. One such application is detection and interception of rogue aerial intruders. Drone technology is growing at a tremendous pace and is expected to be a $12 billion industry by 2021. Coupled with this growth comes the increasing threat of rogue intruders disrupting day-to-day […]

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will […]

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, which is characterized by shortness of breath and progressive loss in lung function, and one that affects 2.6 million Canadians and 380 million people worldwide. The current therapies are very imprecise and none modifies disease progression or mortality. Therefore, there is a pressing […]

This proposed research project will aim to understand current attitudes, beliefs, and behaviours related to tobacco smoking and drug use. Based on these findings, an existing intervention for tobacco dependence management and point of care, known as PROMPT will be modified for a non-mainstream youth population. The youth sample undergoing the intervention will be followed […]

This project proposes a novel planning algorithm based on merging a sampling-based global planner with an inverse kinematics-based controller, defined local planner. The idea is to run off-line the global planner before the motion starts. Then, during the motion, the local planner is executed and simultaneously at lower frequency the global one is performed “to […]

Levulinic Acid (LA) is among the top twelve value-added platform chemicals, and is an abundant and versatile building block for numerous compounds aimed at consumer applications. LA is produced in insufficient quantities to meet market demand and by using fossil fuels which prevents LA production to meet environmental standards. We propose a novel, efficient, and […]

We intend to create a novel mixed physical and virtual environment for use in resident education and surgical pre-planning. Our goal is to improve patient safety and amplify training and planning regimes with technology adjunctive to classic apprenticeship or cadaver-based education. To achieve this, we propose the creation of a mixed simulation paradigm expanding on […]

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

Consistent with industry norms, ATB Financial conducts both mandatory and discretionary stress tests of the whole institution and of its credit portfolio. This project aims to contribute to the refinement of the in-house expertise on methodologies employed to measure credits risk and the overall level of risk of the institution. These activities normally requires management […]

This research project will focus on analytical techniques related to determining the gold geochemistry of the La Victoria property in the western Peruvian Andes. The La Victoria property is found along a major gold belt that is host to some world class deposits such as Yanacocha, Lagunas Norte, La Arena and Shahuindo. Based on initial […]

Plant-based diets have been introduced to the companion animal nutrition market, though little evidence exists to support or refute the nutritional sufficiency of plant-based diets for cats and dogs, or the impacts these diets may have on the health and wellbeing of the animals they are fed to. The proposed study aims to question pet […]