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

Processing and inversion of landstreamer data using deep learning for near-surface seismic imaging

Seismic techniques are used to image the structure of the subsurface and expand our knowledge about the geological condition of the underground. The information acquired from these techniques is employed in domains such as the petroleum industry and clean energy development. Seismic studies also play a vital role in geotechnical projects and civil engineering. The acquired seismic data must be processed to be interpretable. Conventional methods for processing seismic data are time-consuming and labor-intensive. This problem is more noticeable when the data acquisition is performed using a landstreamer for near-surface studies. The near-surface studies are used to image the shallow subsurface for geotechnical purposes. Conventional methods for near-surface imaging are limited to one specific type of seismic data (surface waves, refractions, or reflections). To address these problems, Polytechnique of Montreal and Geostack will collaborate to adopt artificial intelligence (AI) to automate the processing of the seismic data acquired by a landstreamer. In this study, deep learning (DL) methods will be employed to also perform a joint analysis of surface waves, refractions, and reflections. This technique will reduce the processing time significantly while it can lead to a higher resolution and more accurate estimate of the subsurface.

View Full Project Description
Faculty Supervisor:

Gabriel Fabien-Ouellet

Student:

Partner:

Geostack

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Elevate

Investigating the transmission of C. difficile in Hamilton-area hospitals and designing diagnostic assays for C. difficile

Clostridioides difficile (C. difficile) infection (CDI) is a common disease associated with hospital stays and is caused by a bacteria known as C. difficile. This project will examine transmission patterns of the bacteria and attempt to develop methods for detection of the pathogen in order to reduce incidence of the disease. This will ease the burden of patients on the hospital system, which I will be partnered with.

View Full Project Description
Faculty Supervisor:

Andrew McArthur

Student:

Partner:

St. Joseph's Healthcare Hamilton

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

McMaster University

Program:

Elevate

High-Value Fertilizer Synthesis from Carbon Dioxide

The extensive use of fossil fuels is responsible for emitting the main culprit of climate change — carbon dioxide (CO2). As electricity generated from renewables becomes more accessible, CO2 conversion into valuable chemicals using electricity is being actively explored as an economically viable solution for mitigating climate change. Nitrogen-containing fertilizers support almost half of the world’s population. But its production requires ~2% global energy and tonnes of CO2 released from the production.
To create a new application for CO2 conversion and nitrogen contamination remediation, I propose to synthesize nitrogen fertilizers from CO2 and nitrates (common nitrogen contaminants). Recently, I have shown the possibility of our project in a laboratory-scale device. During the visit, I will work on scaling up our reaction to an industrial scale. And the long-term goal for this project is to replace current energy-consumptive production with my reaction.

View Full Project Description
Faculty Supervisor:

Oleksandr Voznyy

Student:

Partner:

Delft University of Technology

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Projet VIREDA

L’étude vise à approfondir les perceptions-relations-occupation et sensations (PROS) liés aux attitudes et comportements alimentaires dysfonctionnels (ACAD) des sprotif.ve.s par les perspectives allocentriques et égocentriques de l’image du corps en réalité virtuelle. Les résultats attendus permettront une meilleure compréhension de l’image du corps chez les athlète et pourront soutenir les pratiques cliniques probantes pour un mieux-être alimentaire et corporels.

View Full Project Description
Faculty Supervisor:

Johana Monthuy-Blanc

Student:

Partner:

Université Côte d'Azur;Université du Québec à Trois-Rivières

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Artificial Intelligence; Agriculture and Food

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

Jeudredi : un parcours vers la semaine de travail de 4 jours

La firme de jeux vidéo québécoise Eidos souhaite évaluer l’impact de l’implantation de la semaine de quatre jours, du lundi au jeudi, dans son organisation. Cette mesure mise en place à l’automne 2021, implique que la semaine de travail régulière passe de 40 heures à 32 heures par semaine sans que le salaire des employés ne soit affecté. Dans un premier temps, les quelques 500 employés de la firme seront sondés sur les effets de ce changement par exemple sur leur productivité, leur satisfaction au travail, leur bien-être au travail et sur d’autres aspects pertinents. Par cette consultation des employés, l’organisation partenaire obtiendra une vue d’ensemble des effets du changement et pourra, dans un deuxième temps, mettre en place des mesures adaptées aux besoins exprimés (p.ex. formation, coaching) afin d’assurer de maximiser les effets positifs de cette mesure et d’amoindrir certains désavantages.

View Full Project Description
Faculty Supervisor:

Irène Samson;Marie-Claude Lallier Beaudoin;Julie-André Girard

Student:

Partner:

Eidos Sherbrooke

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Creating a Framework for Social Enterprise as a Bridge to Employment and Self Sufficiency for Kingstonians Living in Social Housing

Youth living in social housing often face a number of challenges to success, including histories of intergenerational poverty, high rates of mental health and substance use issues, limited educational attainment, and weak or absent work histories. Secure employment is one approach to addressing key social determinants of health, including having a secure income, food security, access to needed supports, and social connections. Work integration social enterprise (WISE) is an approach to employment generation that creates jobs in a supportive environment while also producing goods and/or services needed in the local community. This study will lay the groundwork for a WISE that will build the employment skills of youth in social housing. Data collection methods will include literature review, interviews with key informants, and visioning sessions. The project activities will be delivered by a post-doctoral fellow (PDF) with the support of a research team and an advisory panel comprised of local partners and relevant stakeholders.

View Full Project Description
Faculty Supervisor:

Rosemary Lysaght

Student:

Partner:

Kingston and Frontenac Housing Corporation

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

Queen's University

Program:

Accelerate

Quantum Machine Learning for Doppler Radar Signal Processing in Clutter

Quantum computers are no longer fantasises of distant future. Recent advances in quantum computing hardware as well quantum algorithms offer a wide variety of possibilities to improve existing classical algorithms. Some of the operations involved in the standard classical algorithms might be performed much more efficiently using quantum machines. The current proposal will explore the new possibilities offered by quantum machines for improvements in the areas of radar signal and image processing. This proposal will investigate such possibilities theoretically and will also investigate the practical implementations in present day quantum computers. Thales will utilize the algorithms developed during this project in their machine learning algorithms aimed at defense and civilian applications.

View Full Project Description
Faculty Supervisor:

Sreeraman Rajan;Bhashyam Balaji

Student:

Partner:

Thales Recherche et Technologie;Thales Canada Inc

Discipline:

Mathematics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

STING modulation for the treatment of triple negative breast cancer using novel glyco-based delivery systems Part 1: design and synthesis of novel glyco-based delivery systems

Breast cancer affect one out of eight women worldwide. Triple-negative breast cancer is an invasive breast cancer that is estrogen receptor-negative, progesterone receptor-negative, and HER2-negative. Triple-negative breast cancer is a type of breast cancer that is usually more aggressive, harder to treat, and more likely to come back (recur) than cancers that are hormone receptor-positive or HER2-positive. About 10-15% of all breast cancers are triple-negative. There is no successful treatment for triple negative breast cancer. Exploring novel avenues to target these particular cancer cells would be of great benefit to cure this unmet medical need. In addition, these cancers are highly metastatic. This proposal aims at using novel nanomaterials for the highly selective targeting of anti-cancer agents, thus limiting their cytotoxicity and side-effects. The proposed nanomedicine is composed of liposomal formulations that have been very successful in the recent pandemic COVID-19 (Pfizer and Moderna vaccines

View Full Project Description
Faculty Supervisor:

Rene Roy

Student:

Partner:

Bowhead Health

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Performance comparison of additional versus basic view representation in MPEG Immersive Video

Augmented reality (AR) and virtual reality (VR) enable exciting experiences such as virtual tourism or participation in a live concert from home. These applications are expected to benefit the society as well as being a source of significant revenues. However, such applications are very bit rate- and computation-intensive. The recent MPEG Immersive Video (MIV) format, part of the MPEG-I standard, enables the efficient compression of visual content obtained from several camera feeds by removing redundant information from the various views. This research project aims at investigating the parameters influencing the performance of the MIV format for some uses cases of interest to the industrial partner. This knowledge will enable the partner to select the best MIV format parameters and improve the performance of its products.

View Full Project Description
Faculty Supervisor:

Stéphane Coulombe;Carlos Vazquez

Student:

Partner:

Summit Tech

Discipline:

Engineering

Sector:

Information and Communications Technology; Entertainment and Media; Technology

University:

École de technologie supérieure

Program:

Accelerate

Project Co-ordinator

The Battlefords Chamber of Commerce is working to ensure digitziation of specific processes, for example, board of director elections, and the addition of online “wow” factors for its events – online development of registraiton processes, innvative in-event social media and bolstering its sponsor recognition and appreciation.
We also know businesses are challenged to find talent and workers to fill specific roles in their operations, so we plan to assist them with innovative tools and resources to attract and retain employees while developing strategies and processes for their business.

View Full Project Description
Faculty Supervisor:

Baljit Singh

Student:

Partner:

Battlefords Chamber of Commerce

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services

University:

University of Saskatchewan

Program:

Business Strategy Internship

Multisensor Integration for UAV Indoor Navigation and Mapping

UAVs are becoming essential solutions in a wide range of industries. In this market growth, the potential of UAVs to fly in indoor environments represents a massive opportunity for companies. In particular, for applications such as medical care, search and rescue operations, and industrial management and inspections. The main concern of UAVs flying indoors is damage to people and vital infrastructure on the ground. To address this concern, UAVs must be able to self-navigate at all times, which is the first objective of this project, and automatically detect people and objects. In addition, self-learning, situational understanding, and smart avoidance are among the priorities of this project. SOTI is initially investing $20 million (USD) to fund this project and started collaborations with several universities, such as Toronto Metropolitan University and the University of Zurich. This project will help the SOTI extend its expertise in multisensor integration for navigation and thus more quickly achieve the objectives of its overall investment more quickly.

View Full Project Description
Faculty Supervisor:

Ahmed El-Rabbany

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Elevate

Use of bacteriophage-derived lysins in combating multi-drug resistant pathogens that cause bovine respiratory disease

Bovine respiratory disease (BRD) is the most important disease of feedlot cattle, which remains the leading cause of disease-induced economic loss in the Canadian cattle industries. BRD is induced by bacterial pathogens including the Gram-negative (G-) bacteria Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni. Even with current prevention and control measures targeting associated pathogens, the clinical impact of BRD continues and the resulted morbidity and mortality are still high. The mass medication with antimicrobial is raising concerns about emergence of multi-drug resistence. Moreover, during the last decades, no new antibiotics classes have been approved for G- infections. Novel methods targeting BRD-related pathogens are urgently needed.
Bacteriophages (phages) are the most abundant entities on the planet, bacteriophage-derived lysins/endolysins (LYS) are peptidoglycan hydrolases produced by phages and degrade the peptidoglycan at the last step of lytic cycle, resulting in cell lysis and release of progeny phages. But LYS has been widely developed against G+ bacteria but not G- bacteria due to the reaction nature of the enzyme. The proposed project aims to engineer LYS to develop a new class of antimicrobial agent against BRD-related G- pathogens with rapid action, relatively high specificity, non-toxicity and low probability of resistance development.

View Full Project Description
Faculty Supervisor:

Dongyan Niu

Student:

Partner:

Beef Cattle Research Council;Feedlot Health Management Services

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Calgary

Program:

Elevate

Previous
1…1,1141,1151,1161,1171,1181,1191,120…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe