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

Optimization of novel antibacterials targeting the ATP synthase of difficult pathogens

The proposed research project aims to develop new class of antibiotics targeting bacterial ATPsynthase for difficult-to-treat bacterial infections, particularly those involving Staphylococcus aureus or Escherichia coli. To do so, one post-doctoral fellow will be recruited in the lab of Pr. P-L Boudreault (Université de Sherbrooke), to work on the synthesis of small molecule analogs. This class of molecules rely on a synthetic product recently identified through virtual high throughput screening (tomatidine pharmacophore model). The ability to kill bacteria, the inhibition of the molecules’ target, the protein ATP synthase, and the toxicity of the molecules are under investigation, to ultimately deliver an optimized lead candidate for subsequent preclinical evaluation.

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Faculty Supervisor:

Pierre-Luc Boudreault;François Malouin

Student:

Partner:

Amorchem Therapeutics Inc

Discipline:

Life Sciences

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Multiplication de Cannabis sativa par culture de méristèmes in vitro ; détermination du taux de mutation et optimisation des milieux et conditions de culture pour différents cultivars commerciaux

L’objectif du projet consiste à déterminer l’impact de la culture in vitro à long terme sur le génome du cannabis. Il s’agit d’effectuer des sous cultures toutes les deux semaines et d’extraire de l’ADN pour la séquencer de façon à obtenir de l’information sur le taux de mutations après plusieurs générations. La culture in vitro offre plusieurs avantages en comparaison avec la méthode de bouturage, notamment la libération d’espace de production et l’obtention de plantules saines. Il est donc essentiel pour les entreprises souhaitant employer cette méthode de connaître son impact sur la génétique de leurs cultivars, puisque celle-ci affecte ultimement le rendement de production ainsi que l’aspect des fleurs cultivées. Le projet comporte également un volet dédier à l’optimisation des milieux et des conditions de cultures, dans le but de déterminer les conditions optimales de croissance végétative in vitro et d’adaptation aux conditions de serre pour chacun des cultivars étudiés.

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Faculty Supervisor:

Hugo Germain

Student:

Partner:

Phytoclone Inc;Bioleafs

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Artificial intelligence driven monitoring and prediction of true sleep health on CPAP machines to improve patient care and reduce the harm of obstructive sleep apnea

In this project we aim to evaluate the potential to effectively predict and prevent the occurrence of obstructive sleep apnea during sleep therapy using multiple sensor inputs in conventional CPAP machines. This will be based on experimental tests during both non-REM and REM sleep and standard polysomnography (PSG) measurements. This project is expected to assess the effectiveness of proactive management and treatment of OSA using real-time monitoring of air pressure and airflow and deep learning predictive models while bringing into account the sleep stages detected by EEG signals. While preliminary work has proven the effectiveness of predictions using airflow and air pressure sensors, bringing sleep staging via analysis of EEG signal and the effect of other additional sensor will be explored. Accurate prediction and prevention of these events with respect to sleep staging could improve clinical treatment of people suffering from obstructive sleep apnea (OSA) syndrome.

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Faculty Supervisor:

Sageev Oore;Kamal El-Sankary

Student:

Partner:

NovaResp Technologies Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Developing Innovative Digital Interventions to Manage Chronic Pain in Canadian Veterans

Online health promotion programmes must be shown to improve health and promote a healthy lifestyle of the target population. These programmes are inexpensive and available to everybody. The company has previously
created an OHPP for Canadian Veterans in order to encourage a healthy lifestyle among Canadian Veterans. We will now develop a second platform to Compliment Chronic Pain in Canadian Veterans. Family members and other
participants will be able to profit from this programme as well. The most typical issues with OHPP are early dropout and low involvement. Gamification and health coaching will be used to minimise dropout rates and improve
engagement. Chronic pain is the most prevalent issue that Veterans face and is not adequately treated with currently available medications and health services. Relaxation techniques, exercises, socialisation with other
members, health coaching, and other interventions will improve the quality of life for Canadian Veterans and their families who suffer from chronic pain. CHIP is currently working with veterans affairs Canada to develop and test
Online Health Promotion Program for Canadian veterans and their families. Partner will benefit by developing and testing a chronic pain management program for Canadian veterans.

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Faculty Supervisor:

Dr. Susan Bartlett

Student:

Partner:

McGill Comprehensive Health Improvement Program (CHIP)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Research Institute of the McGill University Health Centre

Program:

Accelerate

Bacillus amyloliquefaciens KA32 role in Plant growth promotion and early transcriptomic changes in tomato seedlings

Many soil microbes present around the plant roots, these microbes are termed as plant growth promoting rhizobacteria (PGPR). Bacillus amyloliquefaciens KA-32 is a novel strain of PGPR’s that promotes plant growth, improve yields in some tested crops. The mode of action of this strain is still unknown. One of the possible action might be by altering the gene expression in treated plants, the microbe is providing the benefits to plants. The main objectives of the current project will be 1: To optimize the concentration of microbial inoculum for tomato seedling growth promotion. 2: Evaluation of best mode of application of the formulation. 3: Evaluate the formulation on plant growth promotion in tomatoes under greenhouse conditions. 4: Study the effect of microbial formulation on gene expression profiles in response to the rhizobacteria by RNASeq.

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Faculty Supervisor:

Lord Abbey

Student:

Partner:

Karyotica Analytics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Climate Policies to Accelerate Soil Carbon Capture and Farm Health

Climate change is affecting BC farmers, with associated impacts to food security, community economic development, business risk management programs, and trade and innovation. With some of the oldest farmers in Canada, BC’s farmers also experience some of the lowest incomes in Canada. The Province has an urgent need to encourage both new entrants and existing producers to transition to climate adaptive approaches that support their economic viability in the face of a range of changing conditions.
This project will determine if farmers that adopt agricultural practices that capture carbon in the soil experience better health and relationships than their conventional counterparts, and will identify how provincial and national policies can be more attentive to practices that support soil quality and farmer health overall.

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Faculty Supervisor:

John Volpe

Student:

Partner:

Terramera Inc

Discipline:

Earth science

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Réorganisation du cerveau: récupération de la fonction visuelle suivant une déficience visuelle cérébrale

a déficience visuelle cérébrale (DVC) se caractérise par une perte des fonctions visuelles associée à un dommage au cerveau et non une atteinte aux yeux. Bien que la majorité des individus ne regagnent pas une vision normale, dans certains cas une amélioration peut être notée avec le temps en raison de la capacité du cerveau à se réorganiser. La perte visuelle peut s’accompagner du blindsight, un phénomène permettant de traiter l’information visuelle tout en n’ayant pas conscience de l’avoir vue. L’objectif général de ce projet de recherche consiste à évaluer les conséquences d’une DVC sur la réorganisation cérébrale d’une large cohorte d’individus comparée à des individus neurotypiques par des techniques d’analyses de données d’imagerie par résonance magnétique. Comprendre le contexte neurologique précis, pouvant expliquer pourquoi cette réorganisation est parfois bénéfique permettrait de conceptualiser des outils (i.e., neurostimulation) pour guider ces changements adaptatifs et potentialiser la récupération de la fonction visuelle.

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Faculty Supervisor:

Franco Leporé

Student:

Partner:

Université Catholique de Louvain

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Hybrid Quantum-Classical Algorithms for Fuel Cell Optimization

Hydrogen fuel cells represent one of the most exciting technologies available for producing clean energy for onsite combined heat and power delivery, portable electronics, and electric vehicles. In the transportation sector specifically, several commercial vehicles powered by hydrogen have hit the market in the last several years, on top of a growing number of city buses and cargo trucks running on fuel cells. However, high cost due to the use of the precious metal platinum remains a barrier to their widespread adoption. In an effort to design materials that could replace this expensive platinum, we will investigate a combination of classical and quantum computing methods to model fuel cells at the atomic level. This modeling is an exciting application of quantum computers, which in theory can model the electronic structure of materials with much greater fidelity and efficiency than classical computers. In practice, quantum computers are still too small and noisy to simulate chemistry at meaningful scale.

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Faculty Supervisor:

Irina Paci

Student:

Partner:

Quantum Algorithms Institute;OTI Lumionics Inc.

Discipline:

Physics

Sector:

Education; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Application of spatial regression models in general insurance

Desjardins General Insurance proposes different types of P&C (property and casualty) coverage to its clients. Properly rating an insurance premium to cover for P&C losses requires complex modelling that uses variables that are both at the individual and at the spatial level. In general, including a spatial component in the modelling is challenging. At Desjardins, the current approach generally produces good results, but they have shown inconsistencies over time. With a goal of constant improvement, we aim to question and revisit this approach, like it is regularly done with the various approaches in use at Desjardins. In particular, we aim to effectively include a spatial component in a way that ensures a smoothly varying rating over the territory (for similar individuals), the latter being a quality that the current approach lacks. While achieving this, we will make sure that the resulting approach is easy to implement on Desjardins’ platform. Our strategy to achieve those goals is to revisit the current model and explore different solutions, from robust estimation to highly flexible spatial models. Properly rating insurance premiums is beneficial for Desjardins as it positively affects its financial results.

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Faculty Supervisor:

Philippe Gagnon

Student:

Partner:

Desjardins Assurances Générales

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Université de Montréal

Program:

Accelerate

An integrated study of CO2-based CSI process and CO2 saline aquifers geo-sequestration

CO2 geo-sequestration is an efficient approach to reduce CO2 emission and achieve zero carbon emission with minimum impact on economic growth and people’s wellbeing. This project focus on optimizing carbon utilization in heavy oil reservoirs and CO2 geo-sequestration in the underline saline aquaifer with three key objectives: optimizing CO2 injection in heavy oil reservoir to enhance oil recovery, understanding the behavior of injected CO2 interacting with formation brine and aquifer rock, and modeling the non-isothermal behavior during CO2 injection process. The findings from this study will provide solid foundations for further CCUS study.

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Faculty Supervisor:

Fanhua Bill Zeng

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Socially and physically based surf warning system to improve beach safety

Surf-related drowning fatalities represent a significant economic burden to the Province of Ontario but many public beaches in Ontario do not have lifeguard programs and there is also a lack of active monitoring of surf conditions to provide real-time warnings. Improving beach safety is complicated by the fact that rescues and drowning fatalities do not depend on the wave and current conditions alone, but also depend on the behavior of the beach user individually and as part of a group. The study uses a combination of wave and current measurement and modeling, beach user surveys and workshops to develop a dynamic surf hazard warning system for the Municipality of Kincardine in Bruce County, Ontario. Results of this research will lead to an adaptable and scalable approach to improved beach safety in the Great Lakes through real-time monitoring and direct and indirect changes in beach user activity.

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Faculty Supervisor:

Christopher Houser;Dana Menard

Student:

Partner:

Bruce County

Discipline:

Earth science

Sector:

Public administration

University:

University of Windsor

Program:

Accelerate

Implementing a Zinnia TV program for people with dementia in hospitals and long term care homes

This project work with stakeholders, residents, family members, and care staff, in an older adult hospital unit and a long-term care home to analyze use of smart TV catered for peoples with dementia (Zinnia TV). Zinnia TV is a TV program that TV program provides video experiences that offer joy and engagement for people with dementia (e.g., handwashing, eating, and holiday celebration). Research will be conducted over 2 years. We will include a diverse group with various sex and gender, age range, ethnic and racial backgrounds, etc. The sample will include
20 people with various types and stages of dementia, 20 family members, and 20 frontline interdisciplinary staff. This project intends to explore effects of assistive technologies and smart TV programs on mood, quality of life, and reduce responsive (aggressive) behaviours resulting from unmet needs in patients and residents with dementia The findings of this projectwill provide helpful insight into specific needs and preferences of LTC residents living with dementia. This project expands current knowledge about implementation science by adding a better understanding of userexperiences about technology adoption in complex care environments such as hospitals and long-term care.

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Faculty Supervisor:

Lillian Hung

Student:

Partner:

Vancouver General Hospital;Zinnia Technologies LLC

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

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