Machine Learning Approach for Real-time Assessment of Voltage Stability Using Multiple Indicators Derived from Wide Area Synchrophasor Measurements

Voltage instability is one of the major causes of many blackouts such as Canada-United State blackout (2003), Sweden-Denmark blackout (2003), India blackout (2012), and Turkey blackout (2015). If reliable methods are available for online voltage stability assessment, operators can be warned and automated corrective actions can be initiated to prevent voltage collapse. Although, a large […]

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Value Engineering Feasibility Study for System Controller Chassis/Connector Redesign

Electronic assemblies are used to control various systems in an aircraft. Under normal operating conditions, these undergo vibration, and therefore have an expected life span. Different designs are analyzed to reduce production cost, and these designs must ensure that the electronic components contained within the hardware can tolerate the same operating conditions without failure. With […]

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Computational and Experimental Evaluation of Leading-Edge Droops for Performance Enhancement of Wind Turbine Rotors

Wind power is becoming an important source of clean electricity. However, wind turbines operating at low wind conditions suffer from reduced efficiency and reduced electricity generation. Leading-edge droops are small extensions added to the front of the blade that can potentially improve the turbine efficiency under low wind speeds. The Mitacs project will investigate how […]

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New Catalysts and Chemical Processes for the Pharmaceutical Industry

Synthetic chemistry is used to assemble the small organic molecules that comprise many of the important consumer products used by society every day. Such fine chemicals are used to assemble drugs, agrochemicals, electronics, materials, dyes, etc.. Metal catalysts are part of the arsenal that the synthetic chemist uses to make such prized small molecules and […]

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Hydraulic Vortex Optimization of a Recessed Impeller Pump

Toyo Pumps is performing research to upgrade their current line of recessed impeller or vortex pumps. Currently, these pumps can only operate in very limited and specific conditions. The goal is to redesign these pumps to allow them to operate in a wider variety of conditions and improve the efficiency, producing more work at a […]

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Investigation of Bicycle Traffic Flow Parameters

Bicycle and pedestrian counts are important data for the planning and design of safe roads. However, installing pedestrian and bicycle counters across an entire city road network is not financially viable. Therefore, a good option is to estimate counts at the network scale, using knowledge from a handful of pedestrian and bicycle counters (strategically placed) […]

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Adaptive Artificial Agent for Smart Home Thermostat

How can we make the connected home smarter and more energy efficient? Ecobee’s research aims to address this question by making cutting-edge improvements to its smart home thermostat. There is huge potential to save energy in the residential heating and cooling space – homes with an ecobee smart thermostat can save up to 15% of […]

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Optimization and Development of Bombardier Data Based Engineering Design Tools

The proposed research will involve optimizing and improving engineering operations within Bombardier based on data collected from flight recorders and aircraft operators. This will involve developing new processes in maintenance tracking (i.e. tracking aftermarket spares sales, scheduled maintenance, accessing direct maintenance costs per component, etc.), and implementation of a stress tools suite for in-service structures […]

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Advanced Analytics in Multiple Sclerosis Research

The multiple sclerosis (MS) clinic at St. Michael’s Hospital (SMH) is among the largest in the world. While considerable data is collected from the MS clinic in both structured and unstructured form, the ability to glean this information to assess quality of care and conduct advanced analytics such as predictive modeling is limited. In this […]

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Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

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Intraoperative Assessment of Humeral Implant Stability

This research seeks to develop a process and tool for assessing the stability of an implant during shoulder replacement surgery. The proposed system will help shoulder surgeons decide whether an implant is sufficiently secure prior to completing the surgery. Researchers will measure how much torque it takes to loosen an Exactech shoulder implant from artificial […]

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Modeling and control of CPP’s proprietary Mighty Dredge & Bypass Pump Technologies

Canada Pump & Power (CPP) is an Alberta specialized industrial marine company. CPP has a novel proprietary dredge propulsion method based on a set of winch-driven cables: the patented Autonomous Mighty Dredge. Control strategies to date have delivered adequate performance in some operating conditions; the goal is to have the dredge capable of performing to […]

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