Phase-field crystal modeling of the interplay between nanostructure changes and ion transport in lithium-ion battery electrodes

The focus of my research is modelling graphene-hBN (graphene-hexagonal-boron nitride), a novel two-dimensional ceramic with the ability to allow for the measurement of both plastic and elastic strain. Mixing graphene with hBN augments the properties of the ceramic by making it stronger and more versatile. When exposed to an elastic strain, the ceramic will exhibit […]

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Active Vision in Robotics for Optimal Mobile Camera Sensor Planning

Active vision or perception is one that can manipulate the viewpoint of the cameras in order to investigate the environment, and get better information from it. It mostly encourages the idea of moving a visual sensor to constrain interpretation of its environment. This research in active vision is concerned with determining the 3D pose and […]

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Sentiment Analysis in Dialogue Systems

More and more companies are choosing to automate various aspects of their customer service using chatbots. While these chatbots are still in their technological infancy, they currently provide useful customer service to many people around the world. They will continue to become more desired by companies as a single chatbot system can engage millions 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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Dynamic Pricing for Optimizing Demand and Profitability

In this research project, a surcharge optimization algorithm will be developed to help the partner company to dynamically determine the premium charged for order pickup. The objective of the project is to smooth the demand curve for the order pickup timeslots: popular timeslots are congested, making it harder to deliver a positive experience, and other […]

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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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Visual attention in deep learning for detection and classification

Visual attention refers to the mechanism of dynamically and selectively focusing on a subset of the visual input stimuli for detailed analysis, which is part of the visual perception process of the early primate vision. It has been successfully integrated into the design and implementation of many artificial visual recognition systems with applications to image […]

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Water Penetration of Brick Veneer Walls Made of Clay Bricks with Large Voids

Rain water penetration can cause severe damage to building materials and facilitates the growth of mould, endangering the health of the occupants of the building. This Mitacs project will determine the water penetration resistance of various clay brick veneers used in various buildings. This research will also provide very important test data that may allow […]

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Rheological and microstructural properties of micellar solutions

Surfactant solutions are of immense scientific and technological interest. They can self-assemble into wide variety of interesting and highly dynamic nanostructures including spherical, cylindrical, vesicle, worm-like or lamellar type. Micellar solutions typically contain surfactants and salts that are dissolved in water. Beyond a critical micelle concentration, the addition of salt or surfactant transforms spherical micelles […]

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Automated Retail Area Cluster Detection

The main objective of this project is to develop a retail cluster detection algorithm and improve the accuracy of the identification. The final deliverable will be an algorithm that runs through Google dataflow that will be able to ingest a month of users’ location breadcrumbs and output user-location clusters. The output of the algorithm will […]

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Machine Learning Aided Detection of Brain Aneurysms

Intracranial aneurysms are relatively common, occurring in 2-5% of the general population. Rupture of the aneurysm can result in a stroke with a devastating 30-day mortality of 45%. Further, severe medical conditions are possible in which up to one third of patients may die before reaching the hospital and one third will become severely debilitated. […]

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