Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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Projects by Category

How social mobility and income inequality affect health in Canada

People who live in countries with low inequality (where the gap between the rich and the poor is small) tend to be healthier on average. Countries with low inequality (like Finland and Denmark) also tend to have a lot of social mobility across generations. In other words, people’s chances of success don’t depend on how well off their parents were. But this isn’t always the case. For example, Canada has high social mobility, but also high inequality. We don’t know much about how these two factors work together to affect health: Does Canada’s high social mobility compensate for the negative impact of high inequality? To help understand this, I will compare parts of Canada, and look at whether inequality seems to matter less when there is a lot of social mobility. To do this, I will first need to calculate the amount of social mobility in different metropolitan areas. To make studies like this easier in the future, I will make the social mobility data available to other researchers.

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Faculty Supervisor:

Jim Dunn

Student:

Partner:

University of Glasgow

Discipline:

Sociology

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

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 or far a referred resource is can determine whether an individual with an unmet need actually accesses this resource. The analytic goal of this study is to determine which health and social need types have the largest distances to their corresponding referred resources. Findings will be used to improve the accessibility of referred resources at 211 Ontario.

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Faculty Supervisor:

Laura C. Rosella

Student:

Partner:

Ontario 211 Services Corporation

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

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 Conversion Systems (PCS). TROES would like to improve the current remote monitoring system with which TROES has the control to oversee the batteries. TROES has contacted Lambton College to develop a cloud-based monitoring software by adding new features, implementing bug fixes, developing/managing web platforms, and integrating energy simulation.

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Faculty Supervisor:

Priteshkumar Patel

Student:

Partner:

TROES

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Lambton College of Applied Arts and Technology

Program:

Business Strategy Internship

FLOAT VR

Brainswitch Labs is a Vancouver-based startup in the VR Health space. We are developing an application that helps mental health therapists to get their patients into a mental state receptive to therapy. Our goal for this time period is to release a public version of our product to the Meta App lab marketplace.

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Faculty Supervisor:

David Fracchia

Student:

Partner:

Brainswitch Labs

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Business Strategy Internship

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 the room once again and compare the representation of the room to the representations stored in the database. Based on the most similar representations, a robot will classify the type of room it is in. A practical application of this research may be smart vacuum cleaners, that can switch to different cleaning modes based on the type of room it is in or check whether a robot has already cleaned a specific room.
For this research project, I apply convolutional neural networks, which are mostly used in Computer Vision tasks, specifically, NetVLAD and Deep Graph Convolutional Neural Network.

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Faculty Supervisor:

Igor Gilitschenski

Student:

Partner:

Taras Shevchenko National University of Kyiv

Discipline:

Computer science

Sector:

Artificial Intelligence; Technology; Other

University:

University of Toronto

Program:

Globalink Research Award

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 data sample of the Partner Organization (i.e., EQ Bank). We will focus on two specific types of bank customer behaviors – non-maturing deposit withdrawal behavior and term-loan repayment behavior – that are critical in defining a bank’s liquidity risk. The research findings will contribute to our understanding of the behavior of Canadian depositors and borrowers, which is relatively less studied in the literature. A better understanding of their behaviors will enable the Partner Organization and other banks to enhance their financial products to better suit the needs of their Canadian customers.

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Faculty Supervisor:

Peter Miu

Student:

Partner:

Equitable Bank

Discipline:

Business

Sector:

Finance and Insurance

University:

McMaster University

Program:

Accelerate

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, we will explore the use of virtual reality (VR) for cognitive assessments. Having complete control over a virtual environment will allow us to isolate the subject from distractions and deliver engaging stimuli that yield responses with greater dynamic range. Modern VR headsets also include physiological sensors that capture measures correlated with cognitive load, which will bear greater insight into how the subject feels as they complete a task. During the scope of this project, we intend on translating an existing tablet-based assessment to VR, deploying it to both healthy and clinically relevant cohorts, and then analyzing the sensor data to uncover potential biomarkers of cognition.

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Faculty Supervisor:

Alexander Mariakakis

Student:

Partner:

Lviv Polytechnic National University

Discipline:

Computer science

Sector:

Information and Communications Technology; Health and Related Sciences & Technology; Technology

University:

University of Toronto

Program:

Globalink Research Award

A Machine Learning-based Tool for Generation and Evaluation of Product Design Concepts

The global competitive market requires products to meet the high customer satisfaction, low production cost and short development cycle. Product design searches for potential solutions of products to meet customer requirements based on design constraints and technical details. As a large number of possible concepts have to be explored in the design process, applying the existing approaches and tools is a costly and time-consuming process. To overcome the limitations, a novel approach is proposed based on reinforcement learning to train intelligent agents for learning design. The approach will apply the existing design knowledge and available resources for product functions to generate the optimal design solution for reduced cost and time in the product design. A case study of the hand rehabilitation device design will be used to test the accuracy and effectiveness of the proposed tool.

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Faculty Supervisor:

Qingjin Peng

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

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 impaired participant graded processed speech using multiple criteria. For each assessment criteria, a function is generated that maps the assessed criteria to the result of each computer algorithm. These functions are then used to predict human gradings for new speech signals.

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Faculty Supervisor:

Ian C Bruce

Student:

Partner:

Unitron Hearing

Discipline:

Engineering

Sector:

Manufacturing; Retail trade

University:

McMaster University

Program:

Accelerate

Development of a functionalized clay-biochar from agricultural waste for improving crop water-use efficiency

Climatic and soil conditions played a crucial role in crop productivity, and thus impacted the economic benefits of the entire industry, especially in Canada. Biochar is widely known as a sustainable material as soil amendment. However, conventional biochar lacks the ability to improve water-use efficiency. A new type of biochar is being developed by co-pyrolyzing locally sourced clay materials and native agricultural wastes to solve this problem while maintaining a low cost. Such biochar can help provide a number of positive effects on crop yields, such as conservation of soil moisture and enrichment of soil-mineral nutrients. Such improvement will benefit the producers by reducing the amount of irrigation water while enhancing crop yields under changing climatic conditions. The biochar in the soil can also help to enhance the strength of the ecosystem, decreasing the risk of fertility loss and soil erosion, thus enhancing the stability of Canada’s ecosystem.

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Faculty Supervisor:

Gordon Huang

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Transcriptomic analysis of follicular somatic cells after vitamin supplementation using Vicomb® feed additive in bovine Year Two

In cattle, energy requirements after parturition increase exponentially, primarily, due to increase in milk production. Negative energy balance hampers reproductive efficiency, inflicting heavy economic losses to dairy industry. Poor reproduction is the most important cause of culling dairy cows. Feed supplementation with vitamins improves energy balance. Also, observations in humans indicate that folic acid and vitamin B12 improve oocyte quality and pregnancy establishment. Unfortunately, these vitamins are degraded to large extent while their passage through rumen, making oral supplementation practically inefficient in cattle. Recently, JEFO® has developed a rumen-non-degradable vitamin feed supplement called “Vicomb®” for cattle. Initial studies showed that Vicomb® improves serum concentrations of various vitamins. However, there is no information available about the impact of Vicomb® on reproductive efficiency. Our objectives are to evaluate Vicomb® effects on reproductive efficiency through gene expression and metabolic analyses. Vicomb®, if found effective, would result in great economic gains for dairy industry.

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Faculty Supervisor:

François Richard

Student:

Partner:

JEFO Nutrition

Discipline:

Life Sciences

Sector:

Life Sciences (not health)

University:

Université Laval

Program:

Elevate

Neutrino luminosity constraints on first-order quark-hadron transition densities

In this research, we investigate what neutron stars are made of: matter as we know it, such as neutrons and protons, or a plasma of matter’s most fundamental particles, quarks and gluons? We study the possibility that these two phases of matter are present in the center of neutron stars and try to predict the transition point between them, known as the quark-hadron phase transition density. To do that, we compare predictions of different models for luminosity, mass, radius and deformability of a neutron star to the most recent astrophysical data. With these comparisons, we hope to establish limits on the quark-hadron phase transition density, which could be used to inform more accurate theoretical models in the future. We will also investigate how sensitive our conclusions are to the models with which we are working. In the current era of multi-messenger astronomy, research like ours is a crucial bridge between theoretical and observational fields.

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Faculty Supervisor:

Charles Gale

Student:

Partner:

Goethe University Frankfurt

Discipline:

Physics

Sector:

Other

University:

McGill University

Program:

Globalink Research Award

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