Pathway to comparative data analytics

Linamar uses sensors and gauges to monitor machine performance in factories across the world. However, the infrastructure to fully exploit such data to improve productivity and performance is currently limited as there is no integrated environment available to uniformly collect, manipulate and analyze the data. The primary objective of this project is to create an […]

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Data Science Consulting and Productionization

The intern would work on a project to develop a data science product for the retail/finance sector. By working on consulting projects and with our product development team, they would work to integrate the data science processes we use into a suite of products that helps clients manage and analyze their data in real time. […]

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Supporting Vulnerable Populations in Emergencies

The project goal is to complete a community-wide vulnerability capacity assessment to gain a deeper understanding of the populations that require access to Emergency Social Services (ESS) during a large scale emergency, including the potential impacts of emergencies on these populations. This will aid in resource allocation and priority setting to better prepare for and […]

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Automated Data Labeller

All data-driven solutions today start with the ingestion (input) of data. Typically that data is messy and unlabelled. However, downstream consumers of data benefit from well-labelled data. Data labelling (assigning categories, data types, privacy and sensitivity tags, source characteristics, etc.) is usually an error-prone, time-consuming, manual effort. There are no readily available off-the-shelf tools that […]

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Relating Quantitative ESG to the Evolving ESG Regulatory / Reporting Landscape

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

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Inferring Subjective Ratings for In-car Speech Using Objective Measures

This project explores how computer algorithms will be used to predict the intelligibility and quality of in-car speech processed by hearing aids. Hearing impaired listeners graded in-car speech for a set of conditions. The conditions include seating position of talker, seating position of speaker, levels of background noise, and hearing aid processing methods. Each hearing […]

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Cognitive Assessments in Virtual Reality

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, […]

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Advanced Quantitative Behavioral Models for Asset-Liability, Interest Rate Risk, and Liquidity Management in Deposit-Taking Financial Institutions

Cashflow uncertainty due to customer behaviors poses special challenges to a bank’s ability to accurately forecast its future cashflows, and therefore makes its funding and risk management difficult. In the proposed research, we plan to use cutting-edge machine learning techniques to study the behaviors of bank depositors and borrowers in Canada using an extensive proprietary […]

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Indoor Localization

My project is related to machine learning and robotics. A brief description of my project is the following: a robot comes into a room and takes snapshots of this room. Then the algorithm will make different digital representations of the room and store them in the database. After that, the robot can make photos of […]

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Development of Remote Monitoring System

TROES Corp. is a Canadian-based, advanced battery energy storage company, specializing in smart distributed energy storage solutions. Based on the LiFePO4 technology, TROES develops, designs, manufactures and delivers high-performance, rigorously tested, innovative, AI-based IoT and cloud-based energy storage systems. The systems are integrated with TROES’ proprietary battery modules, Battery Management Systems (BMS), Enclosures and Power […]

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Too far for comfort: Identifying unmet needs and proximity-based resource gaps for social and community services in Ontario

Having unmet physical and social needs, such as being food insecure or living in unstable housing, is associated with a number of negative outcomes, including poor health. One common approach to addressing unmet needs includes sharing referrals to relevant social and community resources, which is a service that the 211 Ontario helpline provides. How close […]

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