Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

The Role of Cattle-based Nitrogenous Waste as a Nutrient Source for Aquatic Food-webs

This research will explore how nutrients from cattle manure moves through aquatic ecosystems in a Saskatchewan agricultural landscape. Cattle with access to the banks of water ways have the ability to alter the health of water ways and the plants, bugs, and fish that inhabit them. Indicators of ecosystem health such as water quality, algae growth, benthic macro invertebrate community structure will be analyzed in areas with and without grazing cattle. The project will use natural fingerprints called stable isotope ratios that differ between nutrient inputs to quantify the extent nitrogen from cattle excretion is moving through the foodweb. The results of this study will help us better understand how to manage grazing cattle around water ways while improving and conserving aquatic ecosystems

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Faculty Supervisor:

Iain Phillips

Student:

Partner:

Saskatchewan Wildlife Federation

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Saskatchewan

Program:

Accelerate

The Effect of Gut Microbiota Metabolites on Skeletal Muscle Function

Gut bacteria are increasingly appreciated as crucial actors in human physiology. Recent studies have highlighted their potential effect on muscle. For instance, endurance is influenced by the type of bacteria found in the gut. However, the precise mechanism underlying this link is still unknown. We have started to investigate the role of metabolites produced by gut bacteria. Specifically, we are examining the molecular effects of these metabolites on muscle cells. The aim of this project will be to tie these effects to changes in muscle function. We will first examine the functional changes conferred by the metabolites in an established ex vivo and in vitro models of muscle contraction. Moreover, we will develop innovative functional studies in 3D cellular models of human muscle. These findings will lay the foundation for future muscle therapies targeting gut microbes. Moreover, the unique 3D models developed will greatly increase our ability to study human muscle in the future.

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Faculty Supervisor:

Benoit Gentil

Student:

Partner:

Université de Montpellier

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Measuring consumer response to online advertising: the case of mobile applications

To research will help Tap for Tap to generate and collect information on user behavior that can help improve their matching algorithms. The core of the work consists in analyzing a large dataset of app users’ responses to advertising. Clearly, much of this search for determinants of successful matching will be statistical in nature. Still, this search will also be guided by an alert eye on the mechanisms that may lie behind the relationships uncovered in the data. Many mechanisms have been documented in the computer science, economics and marketing literatures and could prove to be useful in the interpretation of the evidence. At this early point in the research, it is not clear what mechanisms will prove relevant. Still, to make the connections with the academic literature clear, we briefly discuss three examples.

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Faculty Supervisor:

Pascal Courty

Student:

Partner:

Tap for Tap Promotions Inc

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of Victoria

Program:

Accelerate

MBSE for Modeling, Evaluation, and Optimization of Modular Robotic Systems: Case Study on AIS

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models.
AIS is developing mobile robots for different markets. Mobile robots are very complex systems in nature with a large number of interacting components. Addressing the complexity of such systems requires accounting for different engineering and development aspects, such as: robot production, hardware and software module production, service providing, sales and marketing, and regulation and compliance. AIS has adapted the MBSE approach and V-model as a development process for their robotic design and development process. Their goal is a comprehensive and scalable platform to enable systematic, coordinated, efficient, and productive engagement of all areas.
The goal of the proposed research is to investigate different MBSE aspects within the envisioned AIS platform. Three main objectives have been defined: 1- Investigate the implementation of MBSE modeling languages for developing AIS robotic systems, 2- develop behavioral MBSE models, 3- propose a methodology for system design evaluation and optimization.

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Faculty Supervisor:

Mehran Mehrandezh

Student:

Partner:

Advanced Intelligent Systems

Discipline:

Engineering

Sector:

Agriculture; Information and cultural industries; Professional, scientific and technical services

University:

University of Regina

Program:

Elevate

Rapid evolution of threespine stickleback

I will examine the limits of evolution by investigating morphological and genetic variation of threespine stickleback populations in real time, under the supervision of Dr. Eric Palkovacs at the University of California, Santa Cruz. According to evolutionary theory, organisms experience selective pressures, which can result in adaptation and evolution. Since strong selection events are frequently unpredictable and isolated, and because spatially and temporally replicated selection events are uncommon in nature, studies of evolution in nature in real time are rare. The populations of threespine stickleback occupying bar-built estuaries around Santa Cruz, represent an excellent system to study rapid evolution. These small fish can occupy both marine and freshwater environments, and experience extreme yet predictable selection events. This system will enlable us to investigate several questions: (1) To what temporal scale are population-level genomic changes occurring, and are they detectable over a monthly or seasonal scale? (2) What is the nature of the heritable modifications? Are they genetic and/or are other adaptive phenomena involved? (3) To what temporal scale are population-level phenotypic changes occurring, and are they detectable over a monthly or seasonal scale? If so, what morphological traits are affected?

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Faculty Supervisor:

Andrew Hendry

Student:

Partner:

University of California, Santa Cruz

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Environmental Science and Technology; Water

University:

McGill University

Program:

Globalink Research Award

Access to Medical Imaging in Nordic and Isolated Communities: Mixed-Methods Evaluation of Quality and Cultural Safety of Services in Quebec – Year two

The access to medical imaging is still limited for Indigenous and non-Indigenous population in remote communities. Teleradiology is now the standard of practice due to the small population size and the large geographical area to cover. The process of teleradiology is quite complex as it requires a very good coordination between the local and remote centres. Access to fast and reliable internet and strong communications channels between local and remote radiology teams are necessary to ensure good imaging quality, timely and efficient communication of imaging acquisition, transmission and interpretation. We propose to perform a quantitative and qualitative assessment of the teleradiology workflow in Northern and isolated communities of Quebec. During the first phase of the project, we will conduct an inventory of the medical imaging technologies available in both areas to assess the capabilities of data transmission and a good evaluation of the quality of the workflow among healthcare workers and stakeholders. In a second phase, we will evaluate the quality of the process as perceived by Indigenous and non-Indigenous population. At the end, we intend to provide an extensive inventory of the workflow of teleradiology in these communities and propose recommendations to improve the quality of imaging access.

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Faculty Supervisor:

Gilles Soulez

Student:

Partner:

Canadian Association of Radiologists

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Elevate

ACCESS TO MEDICAL IMAGING IN NORDIC AND ISOLATED COMMUNITIES: MIXED-METHODS EVALUATION OF QUALITY AND CULTURAL SAFETY OF SERVICES IN QUEBEC

The access to medical imaging is still limited for Indigenous and non-Indigenous population in remote communities. Teleradiology is now the standard of practice due to the small population size and the large geographical area to cover. The process of teleradiology is quite complex as it requires a very good coordination between the local and remote centres. Access to fast and reliable internet and strong communications channels between local and remote radiology teams are necessary to ensure good imaging quality, timely and efficient communication of imaging acquisition, transmission and interpretation. We propose to perform a quantitative and qualitative assessment of the teleradiology workflow in Northern and isolated communities of Quebec. During the first phase of the project, we will conduct an inventory of the medical imaging technologies available in both areas to assess the capabilities of data transmission and a good evaluation of the quality of the workflow among healthcare workers and stakeholders. In a second phase, we will evaluate the quality of the process as perceived by Indigenous and non-Indigenous population. At the end, we intend to provide an extensive inventory of the workflow of teleradiology in these communities and propose recommendations to improve the quality of imaging access.

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Faculty Supervisor:

Carl Chartrand-Lefebvre;Gilles Soulez

Student:

Partner:

Canadian Association of Radiologists

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Elevate

Development of a Cell-Based Signaling Assay to Measure the Potency of a Therapeutic Antibody

Cytokines are proteins that can modulate cellular activity by binding to membrane-bound receptors or soluble receptors. When a cytokine binds to a soluble receptor, it follows the trans-signaling pathway. This signaling pathway induces unique effects on cellular activity which can drive disease progression. This proposal describes the development of a cell-based assay that can be used to test the potency of an inhibitor that prevents a cytokine from binding to its soluble receptor. A specific receptor will be introduced into a cell line to study the activity between the cytokine and the receptor. Then, the inhibitor produced by HyperMabs will be tested in this assay against appropriate controls. This will enable the company to quantify the potency of its candidate. Furthermore, the assay produced in this project will be useful for assessing the potency of future biologic candidates produced by HyperMabs.

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Faculty Supervisor:

Reza Salavati

Student:

Partner:

HyperMabs Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Software quality monitoring using AI/ML techniques

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends of software defects with the goal of using these data to predict software quality. Machine learning approaches leveraged in this work would allow Ericsson to better monitor software quality of their systems, which would result in more effective and easier software maintenance. The interns involved in this project will be trained in building robust ML pipelines and solving industrial problems. By collaborating with the worldwide 5G equipment and services leader Ericsson, the interns will gain industrial experience and validate research advances on industrial data.

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Faculty Supervisor:

Olga Baysal

Student:

Partner:

Ericsson Canada Inc (Ottawa, ON)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Migration assistée, évènements climatiques extrêmes et changements climatiques: Étude de cas des populations d’épinettes blanches de l’est du Canada

L’épinette blanche est une espèce particulièrement sensible au gel printanier et automnal. En endommageant les méristèmes responsable de la croissance, le gel entraîne de fréquents échecs de régénération, surtout en zone boréale. Puisque le réchauffement moyen de la température de l’air déclenche plus hâtivement le débourrement des bourgeons, les méristèmes s’exposent davantage aux évènements de gel, ce qui pourrait intensifer le problème de retard de croissance et met en péril la gestion durable des forêts du Québec. En plantant des provenances du sud vers le nord, la migration assistée pourrait maintenir la productivité des plantations d’épinettes blanches. Nous proposons donc de développer un modèle prédictif de la susceptibilité aux gels de plusieurs populations d’épinettes blanches du Québec en fonction de leur climat d’origine, du climat de plantation et des changements climatiques. Puisque la rentabilité économique de notre partenaire (Matériaux Innovants Rayonier – RYAM Gestion forestière) est directement lié à sa capacité à s’approvisionner avec le bois coupé à l’écotone de la forêt tempérée et boréale du Québec, nos résultats permettant de maximiser la productivité des plantations établies à cet endroit l’intéresse fortement.

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Faculty Supervisor:

Mebarek Lamara

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.;Chantiers de Chibougamau Ltée

Discipline:

Earth science

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Investigation of Lactocaseibacillus rhamnosus HA-114 and its underlying mechanisms as therapeutics for neurodegeneration – Year two

Many studies suggest that genes, environment, and age contribute to the onset of late-life neurodegenerative disease like amyotrophic lateral sclerosis. Epidemiological studies have shown correlations between environmental chemical exposure and neurodegeneration, but no direct and causal relationships have been established. Conversely, there may be environmental actors that suppress or delay neurodegeneration outcomes. The human body is the natural habitat for many microbes, including hundreds of bacterial species referred to as the microbiota. A growing body of work suggests that gut microbiota has a profound effect on health including for neurodegenerative diseases. Our laboratory uses the nematode C. elegans, and its genetic methodologies to model aspects of human neurodegenerative diseases. As part of previous therapeutic discovery program, findings from our worm model have been successfully translated to preclinical and clinical settings for human neurodegenerative disorders. We discovered a probiotic bacteria strain that suppresses neurodegeneration in C. elegans models of ALS. Using a combination of chemical-genetic approaches we propose to identify the neuroprotective molecules originating with the probiotic bacteria, and the genes and pathways essential for suppressing neurodegeneration in our C. elegans models. Along this project, we will explore whether homologue key molecules can be identified and validated in more advanced vertebrate.

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Faculty Supervisor:

Nicole Leclerc;Alex Parker

Student:

Partner:

Lallemand Bio Ingredients

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Elevate

Investigation of Lactocaseibacillus rhamnosus HA-114 and its underlying mechanisms as therapeutics for neurodegeneration

Many studies suggest that genes, environment, and age contribute to the onset of late-life neurodegenerative disease like amyotrophic lateral sclerosis. Epidemiological studies have shown correlations between environmental chemical exposure and neurodegeneration, but no direct and causal relationships have been established. Conversely, there may be environmental actors that suppress or delay neurodegeneration outcomes. The human body is the natural habitat for many microbes, including hundreds of bacterial species referred to as the microbiota. A growing body of work suggests that gut microbiota has a profound effect on health including for neurodegenerative diseases. Our laboratory uses the nematode C. elegans, and its genetic methodologies to model aspects of human neurodegenerative diseases. As part of previous therapeutic discovery program, findings from our worm model have been successfully translated to preclinical and clinical settings for human neurodegenerative disorders. We discovered a probiotic bacteria strain that suppresses neurodegeneration in C. elegans models of ALS. Using a combination of chemical-genetic approaches we propose to identify the neuroprotective molecules originating with the probiotic bacteria, and the genes and pathways essential for suppressing neurodegeneration in our C. elegans models. Along this project, we will explore whether homologue key molecules can be identified and validated in more advanced vertebrate.

View Full Project Description
Faculty Supervisor:

Alex Parker;Nicole Leclerc;Alex Parker

Student:

Partner:

Lallemand Bio Ingredients;Lallemand Health Solutions Inc (Montreal, QC)

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Elevate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.