Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Deposition modeling, generalized process planning, and Design for Additive Manufacturing for fabrication of large scale and radial components by robotic large-scale additive manufacturing

Additive Manufacturing (AM), also known as 3D printing, uses computer-aided design to build objects layer by layer. AM enables complex designs with reduced component lead time, cost, material waste, energy usage and carbon footprint. Large scale robotic AM (> 1 m cubed) using wire arc welding is an emerging field offering scalability of AM to heavy industry. A particularly limiting factor for large-scale AM, however, is the need for support structures for overhanging features with current AM process planning and tool path planning methods. InnoTech Alberta and University of Alberta are interested in researching and developing new methods and processes for equipping their large scale AM system with multi-directional deposition capability that can eliminate the need for support structures , developing and using design for additive manufacturing (DFAM) to optimize and improve upon existing designs while considering the supportless fabrication process, and in the process eliminate the associated limitations of existing AM processes and improve them. This would allow development of a digital design and manufacturing tool chain allowing scaling up of metal AM for large parts suitable to Alberta’s industry.

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Faculty Supervisor:

Ahmed Qureshi;Zengtao Chen

Student:

Partner:

InnoTech Alberta

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Innovation béton de chanvre pour l’optimisation de la formulation et de sa mise en place

Le projet Innovation béton de chanvre est un projet de recherche de 2e cycle élaboré par Maxime St-Pierre et Philippe Fortin. Le projet a pour but de développer le béton de chanvre afin de rendre celui-ci adapté à la construction au niveau commercial. Le projet est divisé en deux sous projets : la réduction du temps de séchage et l’amélioration des technologies de mise en place.
Le béton de chanvre est un béton naturel fait d’eau, de chaux et de chènevotte, issue de la plante de chanvre. Le chanvre est une ressource renouvelable, sa culture utilise peu d’eau, ne demande aucun pesticide, en plus de fixer 4 fois plus de CO2 que l’arboriculture sur une même superficie. Le béton de chanvre enveloppe la structure du bâtiment de manière à remplacer le système d’isolation tout en limitant les ponts thermiques. Il offre entre autres une excellente masse thermique qui se traduit par une économie énergétique qui peut atteindre 80%. Contrairement aux autres matériaux, le béton de chanvre reste “vivant” tout au long de son cycle de vie : sa résistance augmente avec le temps, en plus de favoriser naturellement une régulation de l’air ambiant. E

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Faculty Supervisor:

Daniel Perraton;Claudiane Ouellet-Plamondon

Student:

Partner:

DeuxMax;ISOFIB INC.

Discipline:

Engineering

Sector:

Construction and infrastructure; Wholesale trade

University:

École de technologie supérieure

Program:

Accelerate

SOTI SNAP SDK For creating third-party widget

This project dedicates to leverage the use of SOTI snap app to a greater community by providing more flexibility for third-party users and reducing required prior programming knowledge. To do this, we will focus on building a Software Development Kit (SDK) so that third parties can create and publish new widgets allowing SNAP apps to be quickly created that support a wide range of business needs. Human-Computer Interaction and Software architecture principles will be employed to make the SDK more user-friendly. Early stages will be focused on user studies and architecture design and later stage will be focused on the scalable and extendable implementation of the backend part to make it enough fault-tolerant and flexible enough to communicate to third-party resources.

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Faculty Supervisor:

Maryam Mehri Dehnavi

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Does cannabidiol mitigate the effects of COVID-19 and potential therapies for COVID-19?

Patients most vulnerable to COVID-19 have pre-existing illnesses, including diabetes and heart disease. Two potential treatments in clinical trials for COVID-19 are the anti-malarial drug, hydroxychloroquine, and the antibiotic, azithromycin. These drugs can cause side-effects, including cardiac arrhythmias which can lead to heart failure, that make them inappropriate for the most vulnerable COVID-19 patients. Cardiac arrhythmias also are a major cause of death in diabetic patients. We discovered that cannabidiol (commonly known as CBD), the main non-psychoactive chemical in Cannabis, restores normal function in cells previously exposed to high glucose, as in diabetic patients. Recovery of normal function means cannabidiol might prevent cardiac arrhythmias associated with diabetes.If cannabidiol prevents cardiac arrhythmias in diabetes, then cannabidiol may prevent arrhythmias in COVID-19 patients treated with antimalarial and antibiotic drugs. We will test whether cannabidiol guards against these side-effects and be used alongside drugs to safely treat patients most vulnerable to COVID-19. Until a vaccine for the novel coronavirus is developed, expected to take 12-18 months, drug therapies are required to treat those who develop COVID-19. Meanwhile, cannabidiol may be one key to improving the safety of treating COVID-19 with anti-malarial/antibiotic drug combinations by preventing cardiac arrhythmias in the most vulnerable patients.

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Faculty Supervisor:

Peter Ruben

Student:

Partner:

Akseera Pharma Corp

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

LiI’wat Nation Assessment of On-Reserve Agriculture

The Lil’wat Nation has been situated in its location since time immemorial at which it has also been
asserting its inherent right to govern within its traditional territory. The Nation’s current 5-year
Strategic Plan (2010 – 2015) calls for an objective to “Increase the production value of on-reserve
agriculture”. With this stated goal, the Nation recognized an opportunity to participate to a greater
extent in this industry as private, surrounding farmland is fully utilized for both livestock and crop
agriculture in the region. Therefore, it is the desire from Nation decision-makers to investigate how
production value may be substantially increased from the 1,000 acres of land suitable for agricultural
use. This research will provide these decision-makers and other stakeholders (Le. Land Management
Board, the Stockmen’s Association) with information to support infrastructure investments (I.e. flood
mitigation measures) and eventual revenue streams to support e’conomic development goals of the
Nation.

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Faculty Supervisor:

James Tansey

Student:

Partner:

Lil'wat Management Services LP

Discipline:

Business

Sector:

Management of companies and enterprises

University:

The University of British Columbia

Program:

Accelerate

Design and Development of COVID-19 Automated UV Object Disinfection Cabinet

Highly infectious COVID-19 has had widespread effects on Canadian and global health, security, and economy. While vaccines play a key role in preventing viral diseases, various measures should be taken to slow their spread. Among preventative measures, disinfection systems are of paramount importance to battle COVID-19. The objective of this project is to design and build an automated confined cabinet for object disinfection using ultraviolet germicidal irradiation.This smart cabinet would be able to detect objects, measure their sizes and adjust UV rate accordingly in a short time to make it a good candidate for major online retailers distributing hundreds of thousands of items daily.

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Faculty Supervisor:

Shahpour Alirezaee;Mohammed Jalal Ahamed

Student:

Partner:

Level One Robotics and Controls Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

SOTI SNAP Blockly – Building Apps Without Programming

SOTI SNAP is an application development platform that allows users to create applications with little or no programming knowledge. By utilizing a block-based approach, users can drag and drop blocks and pre-made widgets and connect together to create applications in minutes. Apps made using SOTI SNAP can run on both Android- and iOS-based devices. The aim of this project would be to improve upon the existing SOTI SNAP platform to make it easier for users to tinker with and learn. User studies will be conducted to determine any additional widgets and functionality that can be added to SOTI SNAP to further improve the platform.

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Faculty Supervisor:

Fanny Chevalier

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Spoken Language Identification for Children

While taking foreign language tests, people may respond in languages other than the expected one. Typical scoring systems are trained only on the expected language, so unexpected language responses can have unusual results in speech recognition and scoring. Pearson would like to develop a more robust system for the automated speech recognition machine to know up front if the response contains non-target language content. Common language labels are English, Spanish, Chinese, Japanese, etc. Audio files are typically from 5 to 90 seconds long. There are popular softwares which are built to address these problems but their results need to be tested with the particular kinds of inputs that is obtained as test responses. These may have strong accent, be children’s speech, and various other complicating factors. Improving these systems would greatly benefit Pearson’s competitiveness in the market and would also contribute towards expanding the boundaries of knowledge in speech processing.

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Faculty Supervisor:

Gerald Penn

Student:

Partner:

Pearson Inc

Discipline:

Computer science

Sector:

Technology; Education

University:

University of Toronto

Program:

Accelerate

Improving Q-RT-PCR screening for COVID-19 by tracking viral variants

This project will extend on our labs initial findings that current q-RT-PCR based screening strategies for COVID-19 patients can fall within variant regions of the SARS-CoV2 viral sequence and may potentially lead to false negative results. This project, in collaboration with BioXplor will lead to the development of online bioinformatics tool that will allow tracking of viral mutations as they evolve as well as optimal primer design for testing assays that avoid hotspot mutations leading to more robust and accurate patients screening. BioXplor will then assist in the dissemination of these user-friendly bioinformatics tools to the greater COVID-19 research community in both Industry and Academia that are manufacturing COVID-19 test kits.

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Faculty Supervisor:

Neil Watkins;Jody Haigh

Student:

Partner:

BioXplor Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Learning to Rank through User Interest Mining: Towards Search Personalization

In online shopping, search results often have inherent ambiguity. Two customers using the same term as search query might have completely different expectations of the displayed results. For example, when the users type in the query “headphone”, some of them might expect over-ear headphone with passive noise isolation, while others might expect in-ear headphone with better portability. This project aims to extract users’ interests or preferences and understand what they want. After discovering users’ interests, it is possible to provide personalized search results for everyone by using machine learning techniques.
The company will be able to attract and keep more customers by providing innovative and personalized online shopping experience.

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Faculty Supervisor:

Roger Grosse

Student:

Partner:

Loblaws Digital

Discipline:

Computer science

Sector:

Retail trade

University:

University of Toronto

Program:

Accelerate

Photodynamic Therapy for Annihilating COVID-19 Virus

There is a paramount need to treat symptoms, find cures, and reduce/contain the virus’s continuous spread due to the global pandemic caused by the novel Coronavirus (COVID-19). The most life-threatening symptoms of COVID-19 result in severe respiratory failure due to pneumonia complications. While antiviral treatments and vaccines are under development globally, patients in critical condition cannot wait. It usually takes one to two years to develop vaccines, and cases continue to present with severe complications requiring immediate, life-saving intervention in the meantime. Thus, this research proposes to develop a photodynamic therapeutic device to treat the severe respiratory failure associated with COVID-19, to supply hospitals with a device to save lives while awaiting the medical community’s vaccine.

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Faculty Supervisor:

Majid Pahlevani

Student:

Partner:

Genoptic LED Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Applications of Quantum Monte Carlo Sampling

In today’s quantum computing environment, access to all major hardware providers is entirely cloud-based. As a result, large enterprises and other privacy-sensitive users are limited in their ability to experiment with quantum computers. Many have simply chosen to forego experimentation with quantum computers altogether. A careful application of recent research is vital to address this need via the development, testing, and deployment of security solutions designed for today’s quantum computers. This project is aimed at researching industry-specific quantum algorithms and recent academic breakthroughs for the purpose of developing task-specific, user friendly security tools that can be deployed in a real-world setting. A special focus will be given to finance applications. The project may result in scientific publications.

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Faculty Supervisor:

Henry Yuen

Student:

Partner:

AgnostiQ Labs

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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