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

Impacts of Captive Overwintering Conditions on Physiology and Breeding Success of the Endangered Oregon Spotted Frog

Oregon spotted frog (OSF) is Canada’s most endangered amphibian. This frog inhabits the wetlands of Lower Fraser Valley in British Columbia, where it is estimated that only a few hundred breeding individuals are left in a widely distributed population. Since this frog is very endangered, a conservation program is in action to save this species from extinction. Part of the conservation program is to breed the frogs in captivity for future reintroductions. Unfortunately, the captive breeding program is facing some difficulties. The project’s main goal is to better understands OSF’s physiology and rearing conditions to help improve captive breeding for this species. The project’s outcome will benefit the organizations responsible for the recovery of this species, such as Wildlife Preservation Canada and Toronto Zoo, by improving their captive breeding methods.

View Full Project Description
Faculty Supervisor:

Vicki Marlatt;David Lesbarrères;Arne Mooers

Student:

Partner:

Wildlife Preservation Canada;Toronto Zoo

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation; Other services (except public administration); Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Data mining from computer-aided design files

Currently, the service provided by Axya links manufacturers and buyers of manufactured goods. In order to find a
perfect match between a manufacturer and a buyer, the computer-aided design (CAD) files they share need to be
analyzed. However, manual analysis of large amounts of CAD files is too time-consuming while requiring high
engineering expertise. Based on this, it is proposed 1) to investigate ways of automating the analysis of CAD files
with data mining; 2) to retrieve and analyze crucial features from CAD files; and 3) to identify future venues for
CAD data mining system development.

View Full Project Description
Faculty Supervisor:

Yaoyao Fiona Zhao

Student:

Partner:

Axya Inc.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Laser printing of plasmonic colour photos within secure ID documents

The Canadian Bank Note (CBN) is interested in a laser printing solution to create high resolution colour images in the bulk of ID documents. One approach the CBN will investigate in collaboration with the University of Ottawa is to use plasmonic nanoparticles that will generate colours upon laser irradiation. These nanoparticles will be embedded in a polymer matrix and irradiated with a laser to create colours. The interns will work on the nanoparticle fabrication with the goal being to produce various sizes and shapes of nanoparticles and characterize them using electron microscopy and spectroscopic techniques. These nanoparticles will then be embedded in the polymer, laser printed, and the resulting colours characterized in collaboration with the other students involved in the NSERC-Alliance part of this project. This laser colour printing technique will enable CBN to establish global leadership in emerging standards for picture ID used by government and private organisations.

View Full Project Description
Faculty Supervisor:

Arnaud Weck;Pierre Berini

Student:

Partner:

Canadian Bank Note Company Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Ottawa

Program:

Accelerate

Implementation Evaluation of the DAC Flagship Study

Currently more than 55 million people globally are living with Alzheimer’s which is estimated to impose a 1.3 trillion dollar annual boat. By 2050, it’s expected that the number of cases will rise to 152 million at an annual cost of 2.8 Trillion annually. The Davos Alzheimer’s Collaborative (DAC) was initiated in 2020 by the World Economic Forum to accelerate the discovery, testing, and delivery of precision interventions for Alzheimer’s disease. A key part of this initiative is a Health Systems Preparedness workstream which aims to expand access to screening and diagnosis by offering novel tools in non-specialist settings globally. Access to screening and diagnosis is currently confined to specialist settings and thus inaccessible to the majority of people. Research has shown that 3 out of 4 people with dementia are never diagnosed or treated. The present study aims to evaluate the implementation of digital cognitive screening and a blood-based biomarker test across 7 different healthcare settings globally. This study will use implementation science to identify barriers and facilitators to
implementation and capture resources and lessons learned in a durable digital toolkit.

View Full Project Description
Faculty Supervisor:

Sara Ahmed

Student:

Partner:

Bridgeable Inc.

Discipline:

Sociology

Sector:

Management of companies and enterprises

University:

McGill University

Program:

Accelerate

Smartphone-based Real-Time Automatic Image Tagging

Mobile phone, media and entertainment sectors are of critical importance to our economy. With the massive usage of mobile devices (e.g., British Columbia has the highest smartphone penetration among all provinces in Canada) and increasing popularity of smartphone camera applications and mobile social networks, automatic image tagging is crucial for the next-generation mobile social media services. The tag is basically an automatic description for the photo. In this project, we will develop innovative approaches for auto scene understanding and automatic facial expression recognition to facilitate the automatic image tagging process. The industry partner will have access to HQP with relevant expertise and advanced technologies developed by the project. The developed technologies will be important new components of the company’s new Apps and services

View Full Project Description
Faculty Supervisor:

Jane Wang;Mohamad Hefeeda;Jane Wang

Student:

Partner:

Pantoscope Media Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Simon Fraser University; The University of British Columbia

Program:

Accelerate

Development of microfluidic electrochemical biosensors for point-of-care quantification of multiple diabetic biomarkers

Type 2 diabetes (T2D) is related to the improper use of insulin in the body and cell resistance to the insulin receiving or loss of cell sensitivity to insulin. Early diagnosis is critical to prevent this disease and postpone or even prevent the serious complications. The blood glucose concentration and glycated hemoglobin (HbA1c) are the major diagnostic criteria for T2D. Measurement of blood insulin concentration has also shown to be vital for disease diagnosis and treatment. The intern will develop a new capillary microfluidic electrochemical biosensor strip that can address this gap and use it to simultaneously detect glucose, insulin, and HbA1c in the blood of T2D patients. The clinical performance of this PoC will be examined by testing it with blood samples of patients with T2D and compared to the gold standard assays. The project will benefit the partner to develop a minimum viable product that can be used for rapidly diagnosis of T2D, putting the technology in a higher readiness level for further developing clinical experimentation needed for regulatory submission.

View Full Project Description
Faculty Supervisor:

Amir Sanati Nezhad

Student:

Partner:

Scanbo

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Carbon Sequestration and Decarbonization Technologies for Sustainable Cement and Concrete

In the global effort to combat climate change, the cement and concrete industry has been identified as a key decarbonization target owing to accounting for approximately 8% of CO2 emissions. Avenues for decarbonizing this sector include energy efficiency improvements, reuse/recycling, and carbon capture utilization and storage. This project consists of two sub-projects focused on different avenues to decarbonization. The first sub-project focuses on development of a ground recycled post-consumer glass alternative supplementary cementitious material to be treated with CO2 before use as a replacement for Portland cement. The second sub-project focuses on development of a novel CO2 stable foam for use as a component in cellular concrete. Cellular concrete is a non-structural form of concrete that does not use aggregate but rather air bubbles to produce a low density product. Replacing air bubbles with CO2 bubbles provide a potential avenue towards carbon sequestration in this niche deployment of concrete.

View Full Project Description
Faculty Supervisor:

Maen Husein;Rahil Khoshnazar

Student:

Partner:

Progressive Planet Alberta

Discipline:

Engineering

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

Mise en oeuvre d’une stratégie de phytoremédiation novatrice sur un ancien site de production d’explosifs à Brownsburg-Chatham, QC (Orica)

Dans le cadre d’une restructuration, Orica souhaite réhabiliter une partie de son site localisé à Brownsburg-Chatham au Québec. Le site qui accueille depuis 1870 une usine de production d’explosif est non seulement contaminé, mais présente des risques importants pour les écosystèmes et la santé humaine. Ainsi, l’entreprise souhaite développer une approche verte qui vise à réduire, entre autres, la présence, la disponibilité ou la persistance de ces contaminants. Depuis le début des années 1990, la phytoremédiation a montré qu’elle pouvait être une alternative, à la fois, respectueuse de l’environnement, durable et peu coûteuse aux méthodes conventionnelles pour le traitement des sols et eaux in situ. C’est dans ce contexte qu’Orica et l’IRBV collaborent et souhaite prolonger un banc d’essai de phytoremédiation débuté en 2020 qui cherche à 1) évaluer la faisabilité locale de cette technologie et 2) optimiser les procédés conventionnels via l’intégration de stratégies novatrices (p. ex. agronomique, botanique ou microbiologique).

View Full Project Description
Faculty Supervisor:

Michel Labrecque

Student:

Partner:

Orica

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

À vélo pour un meilleur soi

Environ 9% des personnes ayant une déficience intellectuelle (DI) atteignent les recommandations gouvernementales en termes d’
activité physique. Cette réalité est également observée par l’organisme sans but lucratif – Ma deuxième maison à moi – qui offre des
services de centre d’activités de jour à des adultes présentant une DI. Une faible motivation à l’activité physique est un prédicteur
important d’inactivité physique. Deux stratégies pouvant servir à augmenter la motivation des gens à participer à des activités
physiques sont l’utilisation d’un mécanisme de gamification et l’utilisation de la technologie. Ainsi l’objectif principal de ce projet est d’
évaluer la faisabilité et les effets à court et moyen terme d’une intervention d’activité physique qui contient des composantes de
gamification et de technologie sur des indicateurs physiologiques, comportementaux et psychosociaux d’adultes ayant une DI.

View Full Project Description
Faculty Supervisor:

Stéphanie Turgeon;Charles Sèbiyo Batcho

Student:

Partner:

Ma deuxième maison à moi

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université du Québec en Outaouais

Program:

Accelerate

Automating the development of new cosmetic formulations through machine learning.

The cosmetics industry represents a market with sales of more than US 1 0 billion worldwide. It is estimated that sales of cosmetic products are expected to grow annually by more than 3.7% until 2022. Extremely dynamic with a development cycle of 1 months, this sector is also extremely regulated at the national level without any international harmonization. These aspects constitute a significant obstacle to the development of new products for VSEs and SMEs in the sector, thus greatly reducing their development capacity. As part of this project, the partners want to develop a machine learning model to assist the development of new cosmetic formulations.

View Full Project Description
Faculty Supervisor:

Fabio Petrillo;Kévin Bouchard

Student:

Partner:

Galenit

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Exploitation of special functions orthogonal on finitedomains of 2D and 3D lattices-Fourier expansions offunctions sampled on lattices

The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as required in seismology, oceanography and other environmental monitoring), as well as frequency bounding (e.g. in telecommunications, sending large bandwidth signals over a narrow bandwidth). To transform analog functions to their digital counterpart, a discretization is necessary to obtain their corresponding lattice based versions. In many problems, it is sufficient to use discrete Fourier expansions of data sampled at equidistant points of a line (in 1D), or on a square lattice formed by two orthogonal 1D lattices (in 2D).. We propose to develop and evaluate the methodology which will make use of the special symmetry properties of data that will be reflected in more efficient expansions, e.g. data sampled in 2D on a triangular lattice which will significantly improve multidimensional signal processing in terms of computational speed, memory and hardware requirements. The proposed methodology will be developed using semi-simple Lie group theory.

View Full Project Description
Faculty Supervisor:

Jiri Patera

Student:

Partner:

MIND Research Institute;OODA Technologies Inc

Discipline:

Mathematics

Sector:

Education; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Development of non opioid pain therapeutics

Developing safer, more effective treatments for chronic pain has become a major area of research due to the negative side effects of opioids. This project aims to mediate the intelligent design and development of drugs, that will achieve pain relief without the detrimental side effects of addiction and respiratory depression. The proposed research will use advanced Artificial intelligence (AI) and computer modeling in order to help Zymedyne create new, viable drug-leads, as well as lead to a better understanding of how their current lead drug molecules work.

View Full Project Description
Faculty Supervisor:

Gerald Werner Zamponi

Student:

Partner:

Zymedyne Therapeutics Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Previous
1…1,3221,3231,3241,3251,3261,3271,328…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe