Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
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8841
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9197
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95
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568
NB
1088
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Projects by Category

Impact zootechnique, économique et génique de l’âge au sevrage des caprins

Même si une forte croissance de la production laitière caprine au Canada est observée au cours des 20 dernières années, la productivité des fermes laitières caprines dépend de plusieurs facteurs liés à la génétique et à la régie de troupeau. La nutrition des chevrettes laitières et des méthodes d’élevage des chevrettes ont été identifiées comme étant des domaines d’intervention prioritaire en recherche caprine. Ce projet de recherche vise à déterminer l’effet du temps de sevrage sur la productivité, la santé, le comportement, l’expression des gènes liés à la lactation et la rentabilité des entreprises caprines. Soixante-douze chevreaux (36 mâles et 36 femelles) seront assignés à l’un des trois temps de sevrage, à savoir un sevrage à 6, 8 ou 10 semaines d’âge. TO BE CONT’D

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Faculty Supervisor:

Elsa Vasseur;Rachel Gervais

Student:

Partner:

Centre de recherche en sciences animales de Deschambault

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

McGill University; Université Laval

Program:

Accelerate

Discovery of antibodies against challenging membrane protein targets using microencapsulation-assisted rare clone selection

Antibody-based medicines are playing an ever increasing role in the arsenal of treatments of many diseases, from cancer to obesity to Alzheimer’s. Cell surface proteins, called membrane receptors, are considered key therapeutic targets in many of these pathologies, yet targeting them with antibodies has proven to be a challenge. Amgen British Columbia is dedicated to the development of antibody therapies and is conducting pioneering research in this field. Current project is focused on the development of approaches that would enable efficient discovery of antibodies that can act upon complex membrane receptors and treat associated diseases. The approach, if successful, will be applicable to many targets that have so far evaded treatment.

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Faculty Supervisor:

Paul Li;Robert Holt;Corey Nislow;Fumio Takei;Karen Cheung

Student:

Partner:

Amgen British Columbia

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University; The University of British Columbia

Program:

Accelerate

Biological Evaluation of Antimicrobial Materials

Bacterial infections spread from one person to another person by means of a simple “touch” of contaminated surfaces in healthcare units. These infections have become untreatable to most existing antibiotics, thereby accounts for significant mortality rate. Polyamyna Nanotech is developing new antimicrobial coatings that prevent spreading dangerous bacterial infections in hospitals and health care units. Mitacs sponsored intern will evaluate our products by testing them against pathogenic bacteria. This would eventually boost the product development.

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Faculty Supervisor:

Ayush Kumar

Student:

Partner:

Polyamyna Nanotech Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Apprentissage automatique pour la construction de diagrammes de décision

L’optimisation combinatoire occupe une place prépondérante dans notre société actuelle. Que ce soit la logistique, le transport ou la gestion financière, tous ses domaines se retrouvent confrontés à des problèmes pour lesquels on recherche la meilleure solution. Cependant, un grand nombre de problèmes très complexes reste encore hors de portée des méthodes d’optimisation actuelles. C’est pourquoi, l’amélioration des techniques est un sujet crucial. Parmi les techniques récentes, les diagrammes de décisions semblent avoir un avenir prometteur. Cependant, leur efficacité est extrêmement dépendante à l’ordre des variables utilisé pour leur construction. L’objectif est d’utiliser les méthodes récentes d’apprentissage automatique pour ordonner les variables pour leur construction. Les contributions de ce projet permettront la résolution de problèmes réels plus complexes, et plus larges que ce que l’on peut faire actuellement. Ce projet permettra par ailleurs de donner de nouveaux horizons d’application à l’organisme partenaire, experte en apprentissage automatique.

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Faculty Supervisor:

Louis-Martin Rousseau

Student:

Partner:

ServiceNow Canada

Discipline:

Mathematics

Sector:

Information and Communications Technology; Technology; Transportation (excluding aerospace)

University:

École Polytechnique de Montréal

Program:

Accelerate

Development of Machining Strategies for Low Machinability Powder Metallurgy Ni-Alloys

Nickel based alloys manufactured via powder metallurgy (PM) are the next generation of materials that offer great service performance and increased efficiency of gas turbine engines. This class of material is characterized by their poor machinability. Additionally, limited information is known about the integrity of machined surfaces; thus limiting its acceptance by the industry. This research is expected to produce the following results: (a) developing machining strategies, and defining the optimum cutting parameters and the parameters of high pressure cooling (HPC), (b) supporting the design of cutting tools; material (CBN and WC grades), geometry and surface coatings, for machining of P/M nickel based alloys, and (c) providing a methodology for the design of the HPC delivery system; both internally through the tool holder / inducers, and externally through a nozzle, in order to maximize the heat dissipation from the cutting zone on the tool.

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Faculty Supervisor:

Helmi Attia

Student:

Partner:

Pratt & Whitney;SECO Tools Canada Inc.;EDGECOMBE ABRASIVES LTD

Discipline:

Engineering

Sector:

Manufacturing and Construction; Aerospace; Technology

University:

McGill University

Program:

Accelerate

Thiocyanate Leaching of Gold

Cyanide is a chemical used in the dissolution of gold. It is highly toxic and environmentally unfriendly but cheap and highly efficient. In Canada, more than 90% of the gold mines uses cyanide in its operation, however, the toxicity of cyanide after some serious cyanide accidents has raised the alarm for consideration of an alternative leaching reagent with low toxicity and can be environmentally safe. Moreover, apart from its toxicity, there are certain classes of gold and silver ores (i.e., carbonaceous, pyritic. arsenical, manganiferous, cuperferous) that are considered refractory to conventional cyanidation. The Goldcorp coffee deposit is a high-grade potential open pit and heap leach development project that could grow into a large district scale operation. TO BE CONT’D

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Faculty Supervisor:

David Dreisinger

Student:

Partner:

Newmont Goldcorp (Vancouver, BC)

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Experimental and numerical investigation on force-based and performance-based seismic design of bridges

Bridge infrastructure constitutes a substantial portion of national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. This study focuses on investigating the force-based and performance-based seismic design of bridges specified in the latest version of Canadian Highway Bridge Design Code 2014. Both experimental and numerical studies will be conducted, and design guidelines will be recommended. The project will provide valuable insight into performance-based seismic design of bridges, which is helpful for its mass scale application in Canada. McElhanney Consulting Services Ltd. is a renowned Canadian company for offering solutions to improving communities, transportation networks and resource industries, where particularly, it has gained rich practical experience in design and erection engineering of bridges. The collaboration will place McElhanney at the forefront of new technologies and development in infrastructure systems and enable it to become a world leader in advanced seismic design of bridges.

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Faculty Supervisor:

Shahria Alam

Student:

Partner:

McElhanney Consulting Services LTD

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Numerical Simulation of Turbulence and In-Situ Tidal Turbine Performance in Minas Passage

Turbulence is a significant issue at every site being considered for instream tidal energy development. This turbulent flow creates fluctuating forces on tidal turbine blades and support structures, reducing turbine performance and shortening turbine lifespan. Thus, improving and validating numerical models of turbulence and turbine operation in turbulent flow is necessary to better predict device operation and, thus, develop efficient and financially viable tidal energy projects. This project will extend existing numerical models to predict the impact of turbulence in Minas Passage on tidal turbine performance with the long-term goal of reducing the overall cost of energy production for the region. Numerical simulations will rely on EXN/Aero software developed and commercialized by Envenio, providing an opportunity to expand software capability and visibility in the environmental modelling sector.

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Faculty Supervisor:

Tiger Jeans

Student:

Partner:

Offshore Energy Research Association of Nova Scotia;Envenio Inc

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Optimizing greenhouse design for Eco-industrial networks

The aim of this collaboration is to investigate best practices and innovative strategies for the design of food production systems for cold-weather climates that can be integrated into Eco-industrial networks by using available waste energy and additional by-products as part of the operational function. Using a “sustainable design” and biomimicry lens, the intention is to develop key design criteria necessary for evaluating potential design components, and then use these criteria support the preliminary design of a low-carbon, energy-efficient and environmentally sustainable indoor food production system.
Working closely with scholars and researchers in Delft University’s Faculty of Architecture and the Built Environment, the applicant will be able to access new insights and perspective in support of her research. A particular emphasis will be placed on design parameters linked to energy efficiency and minimizing GHG emissions. TO BE CONT’D

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Faculty Supervisor:

Michelle Adams

Student:

Partner:

Delft University of Technology

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

A study of overlap and causality between chronic pain and depression

Given the starting premise, depression and chronic pain are often manifest in the same patients, I intend to investigate genetic and brain structural commonalities between these two conditions. This work would have two components: genetic association analysis and brain imaging. First, I would take the list of genetic variants previously associated with chronic pain conditions and run analysis on them to determine whether they are associated with depression in patients at the West China Hospital (host institution). Second, I would observe brain imaging done on the same patients to learn the procedure and analysis of output data. Lastly, I would compile a list of genetic variants that are associated with both chronic pain conditions and depression as well as brain regions that differ in both chronic pain patients and depression patients from healthy controls. TO BE CONT’D

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Faculty Supervisor:

Luda Diatchenko

Student:

Partner:

Sichuan University

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Development of a subject-specyfic musculoskeletal shoulder model

Musculoskeletal models are an interesting avenue for human movement analysis since they allows us to noninvasively estimate muscles forces and internal joint loads. Consequently, they are becoming also more important in the clinical practice. So far our musculoskeletal shoulder model can perform only simple movements like abduction and flexion. However, it is in the great interest of clinicians to restore correct movements in everyday life of patients. Thus, the next step is to apply the activities of daily living into the model. It will be implemented using previously collected data from intracortical bone pins. As a gold standard, this dataset is highly accurate and allows us to obtain the joint kinematics without soft tissue artefacts. Model will be scale based on the CT-scals to match the patient specific geometry. To validate the model performance the resulting glenohumeral translation will be compared between model prediction and in-vivo measurements.

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Faculty Supervisor:

Nicola Hagemeister

Student:

Partner:

Aalborg University

Discipline:

Engineering

Sector:

Technology; Health and Related Sciences & Technology

University:

École de technologie supérieure

Program:

Globalink Research Award

The Morphology of Non-canonical Imperfect Subjunctives in Spanish

The project addresses a theoretical issue that arises due to somewhat ‘unexpected’ uses of the imperfect subjunctive verbal form, quisiera, in Spanish. In the descriptive linguistic literature, it is noted that, quisiera, can be used for a conditional (e.g., I would do) or past perfect (e.g., I had done) meaning depending on the variety of Spanish spoken; these meanings would typically be expressed by querría and había querido, respectively. While this fact is well accounted for in the descriptive literature, current morphological theory has paid relatively little attention to how to tie two different forms to the same meaning; this represent a significant gap in the current literature. Therefore, my research fills a gap in the linguistic literature by giving a formal analysis to these previously unaddressed Spanish data.

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Faculty Supervisor:

Gabriela Alboiu

Student:

Partner:

Universitat Autònoma de Barcelona

Discipline:

Sociology

Sector:

Other

University:

York University

Program:

Globalink Research Award

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