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

Evaluating the Impact of Robotics Education on Young Children’s Cognitive Development and Self-efficacy

Our project will be the first research in Canada that draws the techniques and resources from four disciplines – education, psychology, psychometrics and computer science – to investigate the effects of robotics education (RE) on child cognitive development, self-efficacy and enjoyment. Hence, our research findings will help Robokids School to understand the long-term effects of RE and to make a better decision on their investment. Robokids School will also receive a program evaluation report from this collaboration, which will help them to better understand the strengths and limitations of their RE program. The intern will have a variety of opportunities to receive interdisciplinary training from both academic and industry fields. The intern will mainly help with program evaluation and assist with some data collection (e.g., survey, eye-tracking, EEG). Additionally, the intern will work with the research team to develop one academic paper based on her/his work during the internship.

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Faculty Supervisor:

Yan Liu

Student:

Sirui Wu

Partner:

ROBOKIDS

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

Multi-sensor data fusion and quality evaluation in challenging weather environment

A key factor to deliver reliable intelligent vehicles is the proper exploitation of data gathered from the different sensors equipping the vehicle. To do so, a data fusion algorithm is applied. However, the reliability of the sensors can change (for example due to weather conditions), therefore, a solution to evaluate the quality of the data gathered from each sensor must be investigated, to automatically adapt the data fusion algorithm and avoid the use of less reliable sensors or credible data or information these sensors provide directly or they derive through processing techniques. Sensors are becoming more and more complex and are no longer specific to only one type of measure or characteristic/feature. They can be used to measure directly or indirectly (through processing) different characteristics/features (such as velocity, position, size, etc.) of the observed environment. Each sensor category is better adapted to capture a specific characteristic/feature but in a meantime, the data they provide can also be exploited to identify (in a less reliable/credible way) other features. T

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Faculty Supervisor:

Henry Leung

Student:

Abdessattar Hayouni

Partner:

Thales solutions numériques Inc

Discipline:

Engineering - computer / electrical

Sector:

Transportation and warehousing

University:

University of Calgary

Program:

Accelerate

Children’s Treatment Centre Design Standard

Children’s treatment centres provide specialized services to support children and youth with special needs to live life at their full potential. The design of these spaces significantly impacts the experience and well-being of the children that they serve. Children with special needs include individuals with challenges or delays in their physical, intellectual, emotional, social, verbal, and/or behavioural development. Therefore, it is important to consider the characteristic behaviour and the particular way of sense-making of children with special needs, and how these factors influence their spatial experience and interaction with the environment. This research project will seek to understand how interior and exterior spaces, including the physical, ambient, and navigational features of those spaces, might improve a child and their family’s experience and well-being.

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Faculty Supervisor:

Maya Desai;Peter Coppin

Student:

Pui Yee Nikkie To

Partner:

Grandview Kids

Discipline:

Design

Sector:

Health care and social assistance

University:

OCAD University

Program:

Accelerate

Applications of Blockchain for Cross-Border Deposits in the Finance and Banking Sector

Blockchain technology changed how e-payments work and opened the door for development of advanced and secure e-payment systems. Currently, cryptocurrency is the only well-known, successful application of blockchain technology. However, the application of blockchain technology is not limited to cryptocurrencies. Many distributed ledger technology experts discussed the benefits of applying blockchain in many sectors such as, finance, government, healthcare, energy, supply chain, and transportation. One important sector expected to benefit significantly from blockchain is the banking sector. Banks and financial institutions around the world are investigating blockchain applications. Perhaps banks are slowly and carefully examining blockchain, but they are actively exploring the technology. In this research project, we are collaborating with Scotiabank and the Cross- Border Institute (CBI) to investigate the applications of blockchain technology in Cross-Border Deposits. The project aims at developing a platform for cross-border banking to reduce the cost and the time required for cross-border deposits.

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Faculty Supervisor:

Sherif Saad Ahmed;William Anderson

Student:

Vipul Malhotra;Shiv Sondhi;Vijay Rajasekar Thirulokachander

Partner:

Scotiabank

Discipline:

Computer science

Sector:

University:

University of Windsor

Program:

Accelerate

Three dimensional (3D) ultrasound image analysis of the female pelvic floor

Pelvic organ prolapse (POP) is the descent of the pelvic organs into the vaginal canal, affecting up to 50% of the female population. Pessaries are intravaginal medical devices used to alleviate the symptoms of prolapse. However, pessaries are fit through trial and error and finding the right fit is not guaranteed for all patients. Cosm Medical aims to develop custom pessaries to overcome these challenges. The process of developing custom pessaries involves a novel ultrasound imaging technique to provide quantitative measurements of the vaginal canal. This project is a critical first step towards the evaluation of the imaging technique for providing the required measurements. This project focuses on analyzing the obtained ultrasound images from POP patients to predict the right pessary for successful fit. The goal of Cosm Medical is to build a Canadian medical device company with a global reach to improve the lives of 1 million women by 2026.

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Faculty Supervisor:

Elvis CS CHEN

Student:

Wenyao XIA

Partner:

Cosm Medical

Discipline:

Medicine

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Fabry-Perot Pressure Sensors for High Temperature Applications

The use of advanced manufacturing methods and analysis tools and bringing them to the plant floor is crucial for modern manufacturing. A gap that has become apparent is that often engineering capabilities are not available within many facilities – and this requires robust design and new thinking to ensure manufacturers ensure quality product. The pressure transducer is a device thathas not changed much over the past twenty year. This work will provide guidance through an improved pressure sensor for high-temperature applications by introducing optical approaches. The sensor will be fully modeled allowing ease of design modifications through the market lifetime.

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Faculty Supervisor:

Pierre Sullivan

Student:

Mohd Fares AlSamarah

Partner:

MorHEAT Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Improving the Accuracy of Data Loss Prevention Systems

Scotiabank employs teams of cybersecurity specialists across its global operations and partners with a variety of external organizations to prevent and investigate any electronic attempts to gain access to the Bank’s data. At the same time, employees are continuously educated and expected to look for warning signs and efforts to infiltrate that data as well. Currently, Scotiabank’s Data Loss Prevention (DLP) systems have a high false positive rate in identifying data breaches and cyber-attacks, which require significant manual intervention. The project will use machine learning algorithms, data mining principles, and cybersecurity threat modelling to improve the accuracy of Scotiabank’s DLP systems by reducing the false positive rate. We will also develop automated reporting systems and reduce the need for manual verification of data loss events. This project will benefit the partner by improving upon the accuracy and automation of their DLP systems, as well as benefiting Canadian consumers who rely on Scotiabank to keep their personal data safe.

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Faculty Supervisor:

Hasan Cavusoglu

Student:

Xiao Peng Song

Partner:

Scotiabank

Discipline:

Business

Sector:

University:

University of British Columbia

Program:

Accelerate

Investigating the effect of novel nutritional compounds on skeletal muscle protein synthesis and growth in vivo

Resistance exercise training combined with adequate post-exercise protein ingestion is known to increase muscle mass when completed repeatedly over a prolonged period of time (>6 weeks). Due to this knowledge much research has been conducted to identify the best protein supplements which allow for the greatest muscle growth with training. This project will test if a novel protein supplement, which also includes natural compounds believed to stimulate muscle stem cells, can increase muscle size when combined with resistance exercise training when compared to post-exercise branched chain amino acid or carbohydrate ingestion. The results of this project will then inform the industry collaborator, Iovate, on the effectiveness of this supplement and how best to market it.

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Faculty Supervisor:

Daniel Moore

Student:

Nathan Hodson

Partner:

Discipline:

Kinesiology

Sector:

Consumer goods

University:

University of Toronto

Program:

Accelerate

Assessing Perceptions Pertaining to Carbon Pricing in Kingston, Ontario

In their Major Research Papers, Jennifer Bunning and Nora Lobb each will explore the impact of different carbon pricing policies on citizens and businesses in Kingston, Ontario. Both a survey and a focus group will be used to engage with stakeholders from across Kingston. The findings from this research will be presented to provide context around the challenges that face the implementation of a Clean Fuels Standard and Carbon Pricing models in small communities across Canada. During their internship, they will be applying their understanding of how consumers and businesses will have to adapt to new policies towards creating a workplace sustainability program. This program will help both the individual employees and the business as a whole navigate these policies. The research will uncover pain points both businesses and individuals face when it comes to becoming more sustainable and provide a tool to help them reduce their carbon footprint.

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Faculty Supervisor:

Warren Mabee

Student:

Nora Lobb;Jennifer Bunning

Partner:

netzero

Discipline:

Public administration

Sector:

University:

Queen's University

Program:

Accelerate

Understanding Health and Life Sciences Research and Innovation Impact in British Columbia

This project seeks to demonstrate the impact of health and life sciences research in the Province of British Columbia. Researchers from Simon Fraser University and University of British Columbia – Okanagan are working closed with the Genome BC and Michael Smith’s Foundation to develop new methodology to assess the value of health and life sciences research holistically. In this study, we refer health and life sciences research to a broad range of research activities (including basic, clinical, health services & policy, population health) that conducted within university, community or industry settings. Similar projects have been conducted in British Columbia and elsewhere, but many of them focus on direct and indirect economic benefits and are aimed only at demonstrating success. This project will also explore a broad range of indicators using a range of case studies to highlight weak linkages as well as strong ones. Ultimately, this project will provide evidence to strengthen health and life sciences research in the province.

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Faculty Supervisor:

Elicia Maine;Eric Li;Jennifer Davis

Student:

Pegah Yaghmaie;Romi Jain

Partner:

Discipline:

Business

Sector:

Other services (except public administration)

University:

Program:

Accelerate

Examining Environmental, Social and Governance (ESG) policy development in early stage-venture capital firms.

How a company today contributes to the environmental and social well-being of society is becoming a more important part of their business activities. Many large companies have an environmental, social and governance (ESG) policy which guides them on making their business activities contribute to environmental and social sustainability of the planet. But what about businesses that are just starting up? They are more worried about their ability to make enough money to survive. However, when they are able to attract funding to help them grow there is an opportunity for certain financing companies, known as startup-venture finance firms, to influence the startup business to add an ESG policy to help make their product more environmentally and socially friendly. This project will research a Toronto-based startup-venture finance company to determine if they have an acceptable ESG policy themselves and how that might influence the startup companies they have invested in.

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Faculty Supervisor:

Philip Walsh

Student:

Mike Newell

Partner:

ScaleUP Ventures Inc.

Discipline:

Business

Sector:

University:

Ryerson University

Program:

Accelerate

Idiomatic foreign function interface generation for user-specified target languages

For different software packages created using different tools to interoperate, an intermediate layer called API bindings is needed. These bindings can be created by hand, but that takes time and needs to be updated whenever one of the packages changes. Since these bindings are often quite repetitive, it is reasonable to try and generate them automatically, saving time both creating them in the first place and updating them due to changes.
There are existing tools that allow different sorts of automation in generating bindings, but these tools often make strong assumptions about what the result should look like. These results can require adapting by hand, which can be as much of a time sink as writing the bindings manually. We propose a more flexible way of generating these bindings, which aims to save time for PDFTron employees by automating more of this process for them.

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Faculty Supervisor:

Ond?ej Lhoták

Student:

Alistair Finn Hackett

Partner:

PDFTron Systems

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

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