Analysis of factors impacting views and revenue of digital assets on YouTube

This research project will focus on factors increasing viewership and revenue on Boat Rocker Media’s digital assets on YouTube. Combination of datasets from various sources such as YouTube revenue reporting, YouTube data and analytics Application Program Interfaces (API’s), and social media will be used in an explanatory analysis and statistical modeling to get new insights. […]

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Validation and Usability Analysis for a Return to Work Software Platform

Benefit payments totaled 2.5 billion dollars for Ontario workplaces in 2015. The most common injury resulting in occupational lost time claims is a strain or sprain. These injuries indicate that despite massive efforts to reduce musculoskeletal injuries in Canadian workplaces, these issues are still a prominent source of disability and have an associated $2.5 billion […]

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3D Imaging Development for Part Dimensional Measurement

Manual inspection method is still applied by mounting parts on customized checking fixtures and thus dimensions are checked with different gauges/feelers. Typically, it could take 10 -30 minutes to fully inspect the required spatial dimensions of one part. This project will develop an automated 3D dimensional inspection system for deep drawing parts. After manually mounting […]

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Understanding the mediators of employee wellness in an activity-based workspace

Adoption of an activity-based workspace is rapidly increasing. Employees in activity-based workspaces do not have a set workstation. Instead, employees can choose from a variety of workstations (e.g. desks, lounge space, quiet offices) according to their needs. Despite increasing adoption, we know little about the impact of activity-based workplaces on employee wellness, satisfaction, and productivity. […]

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Natural Language Interface for Ad Hoc Queries in Analytics

The main aim of this project is to design a database that provides a simplified way for individuals without the technical background to query information from the database. Such a database will operate on natural language, where the user asks the database a question about information retrieval and it presents the user with suitable answers. […]

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Extension of AWSOM to Strut-Braced Wings

Bombardier is interested in investigation a novel aircraft configuration known as the strut-braced wing configuration, which is has the potential for improved fuel efficiency relative to current tube and wing aircraft. However, Bombardier’s preliminary multipdisciplinary design optimization tools need to be extended in order to be applicable to this configuration. The intern will extend the […]

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Mining Technologies: Optimal Mine Design and Strategies for Increased Productivity and Energy Savings

The purpose of this study is to investigate the interactions and effects of automated and electric mining equipment on mine processes, identify necessary modifications to optimize mine design and account for the cost and environmental drivers in the comparison. Ultimately determining the justification for an economic decision to operate automated and electric-powered machinery on mine […]

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Transitioning from Print to Interactive Digital Publishing

PUBLIC is an innovative print periodical with a 25 year history exploring the intersection between art, design, technology and contemporary culture. This Mitacs fellowship will develop the journal’s open access interactive web platform, PUBLIC:PORTAL, using information visualization and design to showcase the journal’s cutting-edge collaborative and cross-disciplinary work. This project designs and tests graphical user […]

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Investigation of the strength of bonded joints for lightweight vehicle assembly

In this research project, strength and behaviour of bonded joints is investigated under various loading and geometrical conditions. The interns will prepare specimen in accordance with industry guidelines, test the specimen and record data. Interns will study and investigate the joint behavior under several different scenarios, will model material behavior from the test data. This […]

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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics – Year Two

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

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