Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Design simulation and optimization of energy harvesting in wastewater applications

The project is partnered with Aslan Renewables based in Prince Edward Island (PEI), the company focuses on the energy generation from the wastewater flows. This work aims at the analysis of energy harvesting from wastewater flow applications for open channel flows. The computation fluid dynamics (CFD) approach using ANSYS will be implemented for the analysis using the flow condition data received from the Charlottetown wastewater facility. The turbine design and implementation layout optimizations will be also undertaken in order to maximize the power output under varying flow conditions. Finally, the power curves under varying flow conditions will be developed to characterize the performance of the turbine in wastewater applications.
The project helps the company to prepare the business plan for such installation projects. Local indigenous group Mi’kmaq Confederacy of PEI (MCPEI) will be also involved in the project for discussions. The overarching goal is to utilize this analysis to conceptualize the design of the wastewater facility of the MCPEI and Charlottetown wastewater facility.

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Faculty Supervisor:

Kuljeet Grewal

Student:

Partner:

Aslan Renewables Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Business Strategy Internship

Scheduling and Routing of Personal Support Workers at Nucleus Independent Living Co

This project aims to propose a decision support tool for Nucleus Independent Living that optimizes the scheduling of clients visits, the assignment of PSWs to clients, and the routing of the daily visits of each PSW while trying to minimize the traveling distances for the PSWs, the number of different PSWs visiting a client, and the inequality between the PSWs’ workload (in terms of the number of client visits assigned and the distance traveled). The decision support tool allows the organization to do the scheduling and routing piece faster and with less human intervention, which results in less risk of human error, better-quality decisions, and higher satisfaction among PSWs and clients. This research provides evidence to the organization’s decision-makers concerning the efficiency of practice for PSWs and workload equity, and patient satisfaction by considering clients’ preferences in choosing their visit hours and the gender of the PSW(s) who serve them.

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Faculty Supervisor:

Jonathan Patrick;Onur Ozturk

Student:

Partner:

Nucleus Independent Living

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Ottawa

Program:

Accelerate

Discourse Representation Framework for Consumer NLP

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a flexible framework for facilitating conversations with consumers using an agent powered by natural language processing and deep learning models. This ‘discourse representation framework’ will be capable of engaging with consumers in fluent English, and is designed to ask sensible and specific questions which are pertinent to ad-hoc research objectives. The agent will do so by adhering to a ‘discourse policy’, which will be a non-technical conversational design document which can be easily created by market researchers for their research goals. The framework will simultaneously extract structured information from user utterances, using a combination of deep learning and rule-based heuristics, and will navigate through the conversation based on the information it is able to extract.

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Faculty Supervisor:

Shurui Zhou

Student:

Partner:

Nexxt Intelligence

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

The PEACE + FREEDOM Project – Remote Areas Using Hydrogen for Energy Self-Reliance

Remote areas have the world’s highest death rates and cost of operations. As the global community struggles with shared problems including pandemics and climate change, connecting remote areas with the global community is becoming increasingly important.
The current economic model of remote areas is dominated by reliance on oil, yet oil supplies are not reliable in remote areas, with frequent fuel supply shortages, and prices are not predictable and not sustainably affordable. The result is remote areas in most of the world do not have reliable, affordable energy. This is a primary obstacle to connecting remote areas with the global community.
With this need, hydrogen applications appear in transportation, communications, and electricity as an option to allow remote regions to be connected to the benefits of the global community. In this study, specific technical and economic applications of hydrogen will be studied, quantified and analyzed, like simulation model to hydrogen economy for transport and communications systems for remote areas, energy for propulsion systems used in transport, particularly aviation, buoyant Lift for use in airships and aerostats, global trends and prediction models for the economics of oil versus hydrogen and cost comparison (Helium vs hydrogen – Photovoltaic vs Hydrogen).

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Faculty Supervisor:

Loïc Boulon

Student:

Partner:

Solar Ship Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program:

Business Strategy Internship

Enhancing adherence to online PBC wellness programming

Online wellness programming offers a promising avenue to positively influence the mental well-being of older adults with chronic conditions in a manner that is accessible and acceptable. This project aims to build on our collaborative relationship with the Canadian PBC Society to iteratively refine an online wellness program to the unique needs of individuals with primary biliary cholangitis, including strategies such as enhanced social interaction. Additional evaluation will also focus on the program impact on perceived fatigue.

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Faculty Supervisor:

Puneeta Tandon

Student:

Partner:

Canadian PBC Society

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Deep Learning Classification and model compression

Deep neural networks (DNNs) have achieved great success in many visual recognition tasks. However, existing state of the art deep neural network models are computationally expensive and memory intensive, hindering their deployment in devices with low memory resources or in applications with strict latency requirements. Therefore, a natural thought is to perform model compression and acceleration in deep networks without significantly decreasing the model performance. Developing models for inference on clients has multiple economical benefits, but it becomes difficult to match the performance of bigger architectures by simply training smaller architectures. Therefore, we have to look for solutions like Knowledge Distillation, Network Pruning, Quantization to obtain highly efficient models that can match the performance of bigger architectures.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Jumio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Social and Community Economic Development Planning in Toronto

“Social and Community Economic Development Planning” is a BSI project is comprised of four internships associated with four non-profit partner organizations engaged in organizing, advocacy and planning for affordable housing and community supports in low-income, racialized and marginalized neighborhoods. The shared context for this work is the ongoing gentrification in downtown Toronto , coupled with displacement pressures associated with transit-led redevelopment in suburban regions of the GTA. Two projects entail research that will support the partner in developing community benefits strategies associated with major infrastructure redevelopments. Two focus more explicitly on researching possibilities for supporting the development of community land trusts that could take land off the market in perpetuity and preserve affordability for low-income residents and businesses as well as social enterprises. The partner organizations, who are among Canada’s leading practitioners of community economic development, will benefit from background research to support strategic planning, popular education and engagement of low-income and marginalized constituencies.

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Faculty Supervisor:

Katharine Rankin;Lindsay Stephens;Jason Spicer

Student:

Partner:

Black Urbanism Toronto;North York Community House;Jane/Finch Centre;The Neighbourhood Land Trust

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Business Strategy Internship

Advancement of biosensor technologies for use in healthcare/cancer research and detection

The detection of specific carbohydrates is critical for several processes including biofuel production, textile finishing, food production and human health. These carbohydrates play roles in human health including stem cell differentiation, genetic diseases, and viral infection (i.e., COVID-19). Presently, the largest barrier to understanding the role carbohydrates play in human health is the lack of suitable tools to study them. Biosensors are devices that are used to detect and quantify the concentration of biomolecules or microorganisms. Protein-based biosensors, like those described in this proposal, are composed of one or more fluorescently labelled proteins that interact with a target molecule in solution. The interaction of the target molecule with the biosensor induces a change in the protein, which in turn, alters the position/ environment of the fluorescent dye. This change results in an altered fluorescence output, which can be measured. The challenge for developing new protein-based biosensors is that often multiple rounds of the design, build, and test cycles are required to find labeling positions that provide a change in fluorescence upon binding the target molecule yet do not disrupt the binding properties of the protein.

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Faculty Supervisor:

Trushar Patel

Student:

Partner:

Allos Bioscience Ltd.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

Mimicking medial-knee brace gait using PCA and biofeedback

Knee osteoarthritis is a disabling disease affecting millions of people worldwide. Knee braces have been adopted as a treatment strategy to help manage osteoarthritis pain. These braces apply a force to the knee, which, in theory, reduces the joint loads in the knee. They also however change the way people walk, which can also reduce pain. The purpose of this research is to determine whether the positive effects of the knee braces are due to the altered walking patterns, or the force they apply to the knee. If the altered walking patterns are what reduce knee pain, patients with osteoarthritis can potentially reduce treatment cost and avoid wearing a brace. This research is being performed in collaboration with HAS-Motion, who has recently released a product required to perform this research. This project will test the capabilities of this new product, before it is distributed, in a real laboratory environment.

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Faculty Supervisor:

Kevin Deluzio

Student:

Partner:

HAS Motion

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology; Biotechnology; Health and Related Sciences & Technology

University:

Queen's University

Program:

Accelerate

Heart and Stroke Atlantic Canada Cardiac Arrest Policy Strategic Plan

The Heart and Stroke Foundation of Canada has set out four high-level pillars for a nationwide campaign to improve response and outcomes for out-of-hospital cardiac arrest. Heart and Stroke in Atlantic Canada, which covers the provinces of Nova Scotia, Prince Edward Island, and Newfoundland and Labrador, requires a process that will translate the high-level pillars into a strategic and tactical advocacy plan that is tailored to each province’s current state in terms of legislation, political and public receptiveness, and infrastructure, as well as their anticipated needs over the next five years. The interns will conduct a thorough analysis of the current state within each province with regards to cardiac arrest response and policy, leverage political relationships that can enable systematic change, and create strategic campaigns in line with the specific needs and advocacy goals of each province, creating an evidence-driven and actionable roadmap for Heart & Stroke in Atlantic Canada to successfully carry out the campaigns.

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Faculty Supervisor:

Katie Dainty;Timothy Chan

Student:

Partner:

Heart and Stroke Foundation (NS)

Discipline:

Business

Sector:

Other services (except public administration)

University:

University of Toronto

Program:

Business Strategy Internship

Stream Data Analytics Pipeline Based on IoT Big Data Environment for Safer Fleets and Smart Cities

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data
from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our
communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that
are predictive of accidents, and the environmental factors involved. To achieve this, the data infrastructure
should be capable of processing a series of real-time telematics data, as well as time-series historical records
generated from existing machine learning models to respond to real world incidents within a short period of
latency.

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Faculty Supervisor:

Ben Liang

Student:

Partner:

Geotab Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services; Transportation and warehousing

University:

University of Toronto

Program:

Accelerate

Face Matching 1 to N

Fraudsters and money launderers have no place in today’s digital economy. To protect against fraud and financial crime, businesses online need to know and trust that their customers are who they claim to be – and that these customers continue to be trustworthy. Jumio uses the power of AI, biometrics, machine learning and certified liveness detection to help you rapidly convert more customers, stop fraudsters from infiltrating your online ecosystem and get in compliance with KYCIAML. The main goal of this project is to identify an individual from a face image by searching in a gallery of stored face images. The idea is to employ machine learning techniques to solve this problem. For this purpose, we want to review and evaluate existing solutions in order to develop an in-house approach. The fundamental challenges to tackle are: the particular conditions of our data, the huge amount of data to be handled and the quick response time demanded by our use case.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Jumio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.