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
ON
9197
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95
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568
NB
1088
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Projects by Category

Drivers of woodland caribou calf survival in the Rocky Mountain foothills: a landscape with anthropogenic disturbance and multi-carnivore predation risk

Throughout western Canada, declines in woodland caribou (Rangifer tarandus) continue at unprecedented rates. Caribou calves are especially vulnerable in their first four weeks of life, after the calving period. During this time, mother caribou must effectively select habitat that is rich in food resources, but also minimizes likelihood of predation. In the Rocky Mountains of Alberta, the predator community is large, including
wolf, black bear, grizzly bear, cougar and wolverine, meaning avoidance of areas with high predation risk is important. Using an array of camera traps in the Rockies, I estimate predator distributions for the entire predator community, and combine this with telemetry data of two mountain caribou herds to investigate how female caribou select habitat to balance these costs, and the effect this has on the survival of their calves.
Understanding drivers of caribou calf survival will inform management and aid in the development of recovery plans for these herds.

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Faculty Supervisor:

John Volpe

Student:

Partner:

University of Victoria

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Forecast of User’s Water Consumption

The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water consumption. Research will involve supervised and unsupervised data mining techniques. The solution will be in the R programming language that can be used by the Lowfoot Inc. to predict the actual water consumption in the Peterborough, ON. For the company the outcomes of the research has a quite applied value. The primary goal of the company is the cooperation with the utility suppliers for the prediction of a user consumption level and its further decrease during the consumption peaks by sending out notifications. All these results will help to extend the market of the company.

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Faculty Supervisor:

Sabine McConnell

Student:

Partner:

Lowfoot Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Trent University

Program:

Accelerate

Intelligent mini-unmanned Aerial Vehicles (UAVs) for automated skin cancer screenings

The main goal of this project is to design a UAV-based image acquisition system to capture high quality full body images which will be integrated into DermEngine Full Body Imaging (FBI) module. With this system, we intend to achieve consistency between different images that FBI needs to analyze. We also plan to deliver an easy-to-use, affordable, compact, and automated system for experts, physicians, and even patients.
At a very high level, we are looking at a mini-UAV that can be programmed and controlled by sensors to fly in a specific path around the patient body and captures high quality images at different angles. At this stage, we just want to conduct a feasibility study to specify and customize a vision-based indoor navigation system for this application. In future, we plan to develop the complete UAV-based TBP system which will be smart, autonomous, and able to capture 3D images.

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Faculty Supervisor:

Siamak Arzanpour

Student:

Partner:

MetaOptima Technology Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Novel membrane mimetics in HT antibody screening and structural biology

Many therapeutic targets are proteins embedded in the membrane that surrounds the cell. Traditionally, such targets present major challenges, because they required the use of detergents to extract them from the membrane and to purify them. Such detergents can cause artefacts, hampering the development of novel therapeutics. Here we will test new methods that get rid of detergents during extraction, purification, or both. The membrane proteins thus isolated can then be used for screening of therapeutic antibodies; for example the binding strength of an antibody against the target protein can be determined. In a different part of the project the purified protein can be used to determine the 3D-structure of the protein. The more native environment provided by the novel approaches is likely to improve stability of the sample and therefore increase the chances of success.

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Faculty Supervisor:

Filip Van Petegem;Karen Cheung;Anne Condon;Corey Nislow;Khanh Dao Duc

Student:

Partner:

Amgen British Columbia

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

3D visualizations for neuroscience education, research, and clinical applications

As new technologies are rapidly being integrated in postsecondary institutions, the question is often where to focus investment and how to facilitate adoption of new technologies by faculty and students. The advent of an era that will increasingly rely on the use of augmented and virtual reality in the instructional arena necessitates the creation of easy to use technologies and exploration as to whether these tools are applicable and practical in education and research. While there is extensive interest in using augment reality (AR) in the educational and research settings, challenges exist including development of models that are not only visually interesting but precise and usable for data analysis and visualization.
UBC and Microsoft will continue their collaboration, which started with the “Holographic Brain Lecture”, which looked at the educational impact of AR.TO BE CONT’D

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Faculty Supervisor:

Claudia Krebs

Student:

Partner:

Microsoft Canada;Microsoft HQ

Discipline:

Life Sciences

Sector:

Technology; Education; Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

The Genetics of Blood Biomarkers in COPD

COPD is a progressive inflammatory airway disease characterized by persistent and progressive airway inflammation. It is a major cause of global morbidity and mortality and is predicted to become the third leading cause of death by 2020. Biomarkers may be useful for diagnosing disease considering that the usually used lung function measures have poor correlation with both symptoms and other measures of disease progression. However, the relationship between biomarkers and COPD is still elusive. Establishing causality for selected proteins and pathways is a promising step toward their development as both biomarkers and therapeutic targets. Our group has found surfactant protein D is a novel biomarker, plays a causal role in the pathogenesis of COPD and its progression. TO BE CONT’D

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Faculty Supervisor:

Xuekui Zhang

Student:

Partner:

Providence Health Care

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Movement patterns of migratory tree-roosting bats during autumn migration in southern Saskatchewan

Three of Saskatchewan’s bat species roost in trees and migrate long distances annually: hoary bats, eastern red bats and silver-haired bats. Migratory bats are facing a variety of threats, such as habitat loss, climate change, pesticide use, and fatalities at wind energy facilities. Large numbers of bat fatalities have been recorded at wind energy facilities across North America. If current fatality rates continue, the population of hoary bats, the species most commonly killed by wind turbines, could decrease by up to 90% in the next 50 years. If we can identify areas or landscape features associated with bat migration, this information can be used by SaskPower and other stakeholders to inform wind power siting decisions for future wind energy projects.

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Faculty Supervisor:

Mark Brigham;Erin F Baerwald

Student:

Partner:

SaskPower

Discipline:

Life Sciences

Sector:

Utilities

University:

University of Regina

Program:

Accelerate

Acoustophoresis For Pulp Separation

In pulp and paper mills, efficient techniques are required to remove accumulating solid suspensions in order to optimize raw material usage and closing up water systems due to environmental regulations. As a novel approach to solid removal, an ultrasonic method to clarify a white-water stream appears promising. For white-water stream clarification, the idea is to apply a normal force on flowing fibers using radiation force coming from an ultrasonic wave field (acoustophoresis), for the purpose of migrating the fibers and thus increasing the consistency of the pulp stream. This project aims at determining the optimal configuration for feasible pulp manipulation in industrial environment. After a brief bibliography, both numerical and experimental methodologies will be developed in order to derive the optimal transducer configuration. TO BE CONT’D

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Faculty Supervisor:

Nicolas Quaegebeur

Student:

Partner:

GL&V Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes du type PPP (Partenariat Public-Privé) où le fournisseur s’engage à fournir des services sur des périodes de parfois plusieurs années, voire des décennies.
La gestion des IP nécessite un travail manuel imposant pour consigner et classifier les IP. Ce travail est sujet à des erreurs et à un processus de validation entre le fournisseur de service et le client. Le présent projet vise à assister les agents qui interviennent dans ce processus en automatisant certaines étapes par la mise en oeuvre d’algorithmes de classification. Il en résultera un gain de productivité important. TO BE CONT’D

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Faculty Supervisor:

Michel Desmarais

Student:

Partner:

iA Résultat Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

École Polytechnique de Montréal

Program:

Accelerate

Étude comparative des écosystèmes d’intelligence artificielle de Montréal et Paris : le rôle du processus de légitimation culturelle et du discours éthique

Cette recherche a pour but de documenter les particularités des écosystèmes d’innovation de Montréal et Paris constitués de relations entre trois secteurs (privé, universitaire et gouvernemental), afin de comprendre le rôle du processus de légitimation culturelle, en particulier dans la production d’un discours éthique sur l’intelligence artificielle. Grâce à la collecte de témoignages provenant des principaux acteurs de ces écosystèmes d’innovation nous formerons un corpus de discours représentatif des rôles joués dans le déploiement de l’intelligence artificielle. La comparaison permettra, dans un premier temps, d’identifier le rôle des acteurs extraterritoriaux et des acteurs locaux pour ensuite, dans un second temps, comprendre les relations de collaboration et leurs impacts sur les initiatives de ville intelligente, de numérisation des services, et de gouvernance numérique mise en place. À terme, nous voulons identifier en quoi les villes de Montréal et de Paris, qui, encore dans les plans annoncés en 2015 mettaient l’accent sur des plateformes collaboratives et citoyennes, sont tendanciellement amenés à légitimer et à s’orienter vers des modèles entrepreneuriaux concentrés sur la promotion de startups et la commercialisation des algorithmes d’apprentissage profond.

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Faculty Supervisor:

Jonathan Roberge

Student:

Partner:

Institut d'études politiques de Paris

Discipline:

Sociology

Sector:

Information and Communications Technology; New and Digital Media; Public Service, Policy, and Governance

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Extraction et analyse des objectifs de sollicitation client

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithmes de traitement automatique du langage, nous pouvons extraire les différents mots-clés et expressions utilisées au sein des conversations. Ces expressions nous ont permis de créer un système de tri des appels et discussions en fonction des différents services de l’entreprise. Le but final étant d’extraire l’objet principal de la demande du membre afin d’améliorer le suivi, les redirections d’appel, et les propositions de services faites aux différents membres.

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Faculty Supervisor:

Gilles Caporossi

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Computer science

Sector:

Finance and Insurance

University:

HEC Montréal

Program:

Accelerate

Comparing chemical suppressants for the control of fugitive dust emission on mine hauls roads

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive. However, the use of chemical dust suppressants is still in an “art” stage in which the selection and use of dust suppressants is largely based on site experience after numerous “trials-and-errors.” To this end, the objective of this proposed research is to develop a bench-scale testing framework and conduct a systematic investigation on various chemical dust suppressants in the mining industry. The results derived from the proposed investigation and its related characterizations will strongly benefit the selection of chemical dust suppressants for truck hauling in Canada’s mining sites.

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Faculty Supervisor:

Wei Liu

Student:

Partner:

Teck Resources Ltd

Discipline:

Engineering

Sector:

Mining

University:

University of Alberta

Program:

Accelerate

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