Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Rates of Change in Organizational Identification During Organizational Integration

A significant part of people’s self-concept, who and what they think about themselves and who they are, is based on the groups and organizations they consider themselves part of, including their workplace. People who identify with their workplace are more committed to and satisfied with their jobs, and are less likely to leave. When a work organization integrates with other organizations, however, a new organization is born, which employees don’t yet identify with.
This research will track employees from multiple mental health and substance abuse organizations throughout an integration, to better understand how quickly people come to identify with a newly formed organization, whether it matters if they previously worked for a larger or smaller organization, and whether all of the benefits of identification develop at the same time. By understanding when and how identification happens, we can maximize the well-being and productivity of the employees and organizations involved.

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Faculty Supervisor:

James Olson;Hayden Woodley

Student:

Joel Armstrong

Partner:

CMHA Middlesex

Discipline:

Psychology

Sector:

Health care and social assistance

University:

Western University

Program:

Accelerate

Hand Pose Reconstruction with Advanced Sensor And Deep Learning

This project explores 3D pose hand reconstruction using machine learning models with sensor data from innovative input devices. The goal is to propose an approach that provides real-time high fidelity hand reconstruction and understand how users perceive its quality to improve user experience and social interaction in AR/VR. The proposed methodology is to train a deep learning network that learns the mapping from sensor signals to hand pose joint locations. User studies will be performed to assess the quality of predicted hand motions. New evaluation metrics will be explored with respect to user perception ratings in different application scenarios. The training data will be collected using both the Tactual wearable device and motion capture devices. This project allows the Tactual to tailor and develop their Prism sensing technology for new products in AR/VR and prepare new sensing applications in valuable markets such as Automotive and Assisting Living.

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Faculty Supervisor:

Fanny Chevalier;Andrei Badescu;Arvind Gupta

Student:

Jianda Chen

Partner:

Tactual Labs Co.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Assessing and Identifying Indoor environmental Quality Gaps in Commercial Buildings using Wireless sensors and Big Data Analysis Tools

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a fully automated diagnostic tool. This novel analysis method requires being able to identify deficiencies in a commercial building that can be remedied, as well as proposing an actionable resolution plan for each identified deficiency.

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Faculty Supervisor:

Saman Muthukumarana;Yang Wang

Student:

Ashani Wickramasinghe

Partner:

ioAirFlow

Discipline:

Statistics / Actuarial sciences

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Using AI to generate mining algorithms

Hard-rock mining of uranium in Canada’s north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project is planned to advance the visibility and automation systems for Jet Boring by: 1) creating large volumes of data created by ongoing measurement of the process; 2) collecting, analyzing, and synthesizing that data in order to form conclusions; and 3) confirming the effectiveness of using those conclusions to inform, control and direct operational decisions and automation of the mechanized Jet Boring systems. At this early stage, proof of concept level work will identify further opportunities that can point to or suggest a roadmap for further automation and optimization possibilities within mining.

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Faculty Supervisor:

Susan Blum;Terry Peckham;Cyril Coupal;Donna Beneteau;Doug Milne

Student:

Nathaniel Koziczki

Partner:

Cameco Corporation

Discipline:

Engineering - civil

Sector:

University:

Program:

Accelerate

Quantifying the oxidization of polysaccharides and optimizing dextran-bovine serum albumin glycation conditions for development of a new pneumococcal vaccine

Pneumonia remains the single leading cause of childhood death under age 5 worldwide. The price per dose of current vaccines is high and supply is limited due to a complex manufacturing process and low yield, significantly reducing its distribution in developing nations. A newly patented vacuo dry-glycation process promises much higher efficacy than the conjugation chemistry used currently, paving the way towards a much lower dosage cost. and its vaccine is a kind of polysaccharide-protein conjugate system. However, the process conditions required for activation of the polysaccharide by vacuo dry-glycation have not been optimized, which is linking with the properties such as molecular weight and oxidation ratio of activated polysaccharides and coupling ratio of conjugate products. This research addresses these deficiencies, enabling PnuVax Inc. to further the development of a more affordable vaccine that can be used in Canada and around the world to reduce childhood death due to pneumonia.

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Faculty Supervisor:

Robin Hutchinson

Student:

Mingmin Zhang

Partner:

PnuVax Inc

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Enhancement of the process validation via characterization and optimization of mixing operations in the Sanofi Pasteur cutting-edge manufacturing facility designed for the production of 5-component acellular Pertussis, Diphtheria, and Tetanus vaccines

Sanofi Pasteur has established a cutting-edge facility for the production of different types of vaccines in Toronto. This state-of-the-art facility is comprised of various complex mixing operations, which play significant role in the vaccine production. Currently, there is lack of sufficient information about the hydrodynamics of these mixing units for the process validation. In this project, computational fluid dynamics and tomography will be utilized to characterize and optimize the operations of mixing units. The CFD model will be validated using tomography data. The validated CFD model and tomography data will be employed to assess the effects of different design parameters and operating conditions on the performances of these mixing units, which enable us to determine the optimal conditions. The implementation of CFD modelling in the process validation will result in reducing the process validation time and cost by at least 80% resulting in a major cost saving of over $400,000.

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Faculty Supervisor:

Farhad Ein-Mozzafari

Student:

Argang Kazem-zadeh

Partner:

Sanofi Pasteur

Discipline:

Engineering - chemical / biological

Sector:

University:

Ryerson University

Program:

Accelerate

Impact of oil and gas activities on shallow aquifers in the Fox Creek area

In this project, in order to analyze aerial deposition of contaminants resulting from oil and gas activities in west-central Alberta, samples of snowpack will be collected from the Fox Creek area for chemical analysis. Using the chemical analyses results, a map of the contaminants deposition and their potential sources of release will be delineated. The success of this project will enable Recion Technologies’ client to integrate the experimental results into their numerical models and study the transport of contaminants, emitted from oil and gas activities, and their distribution in ecosystem. Moreover, identifying the sources of such contaminants will aid the oil and gas operators to lower their environmental footprint by adopting new practices.

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Faculty Supervisor:

Daniel Alessi;Stephen Johnston

Student:

Konstantin von Gunten

Partner:

Recion Technologies Inc

Discipline:

Geography / Geology / Earth science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Utilizing Materials Informatics to Predictively Engineering the Micro-Mechanical Properties of Hydraulic Turbine Steels

Cost-effective clean energy production is one of the most urgent economic and societal issues facing Canada today. Hydro-Québec is a world-leader in clean hydro-electric energy production – an essentially carbon-free source of energy. However, the repair and replacement of hydraulic turbines utilized in hydro-electric power production has two important consequences on clean energy production: (1) it results large financial losses, in terms of overall production, and thereby reduces costeffectiveness; and (2) it also ties up significant human resources which could have been used to further clean energy production. Thus, it is essential that new technologies be developed to extend the lifetime and reduce the downtime of hydraulic turbines. The results of this project are aimed at designing better turbines and more robust welding repair approaches that will achieve these aims. Specifically, the proposed partnership will allow Hydro-Québec’s engineers to better understand the influence of manufacturing and repair procedures (casting, welding) on the local microstructure of hydraulic turbines. The project will directly link microstructural properties with the micromechanical properties of steel turbines, and thereby enhance their expected operational lifetime and durability.

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Faculty Supervisor:

Nikolas Provatas;Hong Guo;Kirk H Bevan

Student:

Salvador Valtierra Rodriguez;PENG KANG;Duta aizul-Aziz

Partner:

Institut de Recherche Hydro-Québec - Laboratoire des Technologies de l'Énergie

Discipline:

Engineering

Sector:

University:

McGill University

Program:

Accelerate

Additive Manufacturing of customized imaging instrumentation for SARS-CoV-2 viral research

In the COVID 19 vaccine and anti viral therapy development, advanced optical imaging is used to measure the interaction of virus and the host cell Current microscopes is relatively slow and lacks required customization specific for COVID 19 research To address such a challenge, we plan to develop 3D print ing technology to build a customized microscope capable of high speed quantitative imaging of virus host interactions in live cell s for SARS CoV 2 virus research. The project will deliver an instrument to perfor m SARS CoV 2 vaccine and viral therapy development at McMaster.

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Faculty Supervisor:

Cecile Fradin

Student:

Michael Stolle;Taylor deVet

Partner:

Additive Manufacturing International

Discipline:

Engineering - biomedical

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Faculty Supervisor:

Bo Wang;Gary Bader

Student:

John Giorgi

Partner:

Semantic Health Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Impact analysis of how COVID-19 will affect the Canadian Precast Concrete and Canadian Construction Industries

Naturally, the Precast Concrete and the Canadian Construction Industries are not going to come out of the COVID-19 crisis unscathed. The various players will all be affected in different ways. And of course, demand will fall sooner or later as the crisis continues, which will squeeze profits throughout the entire construction industry and the Canadian economy. This research will track some of the short and long-term effects of the COVID-19 crisis within the Precast Concrete and the Canadian Construction Industries.

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Faculty Supervisor:

Andrew Webb;Robin Ritchie

Student:

Johan Anguo

Partner:

Canadian Precast Prestressed Concrete Institute

Discipline:

Other

Sector:

University:

Carleton University

Program:

Accelerate

Sales Skills for the Modern Sales Environment

This research project will investigate the sales skills that enable salesperson performance for the modern sales environment. This will help to improve recruiting practices for organizations and will enable organizations to better prepare their employees for sales-related positions, and better prepare the existing sales team by incorporating the findings of this study in their sales training. The project involves an extended quantitative study on sales skills for top performance, understanding the top sales skills based on recruitment industry data, and an academic literature review and matching these skills to sales performance. This project extends Dr. Peesker’s innovative new approach to sales leadership research using mixed-approach (both quantitative and qualitative methods). The partner organization, CPSA, will benefit from this research by being able to better support their education partners and employers to establish national occupational standards and produce more graduates with the skills needed to succeed in sales jobs.

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Faculty Supervisor:

Karen Peesker

Student:

Julia Gropper

Partner:

Canadian Professional Sales Association

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Accelerate

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