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

Development of Distributed Optical Sensing Technique for Ground Monitoring and Support

This research will focus on the physical testing (with a view to mine and tunnel site implementation) of ground support elements that are associated with mining and tunnelling works. The support elements will be monitored using fibre optics. In addition to providing insight into the behaviour of such support elements, this type of instrumentation also has significant potential to be used as a ground probe that can ‘sense’ the ground and provide insight into the potential fracture zones, stress patterns, discontinuities and conditions beyond the excavation face. This research line intends to improve ground support design, optimize operations, increase safety during construction, and reduce costs for industry. It will also provide the industry partner (YieldPoint Inc.) and the intern the opportunity to showcase such technologies internationally.

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Faculty Supervisor:

Nicholas Vlachopoulos

Student:

Partner:

YieldPoint Inc

Discipline:

Engineering

Sector:

Mining

University:

Queen's University

Program:

Accelerate

Enhancing Corrosion Resistance of Superheater Alloys

The efficiencies of biomass-fueled power plants are much lower than those of natural gas and coal-fueled plants because exit steam temperatures are restricted to inhibit corrosion of superheater tubes. Nexterra needs to raise steam conditions from 403°C to 460°C in future systems in order to satisfy customer demands. The raise in the probability of corrosion issues due to contaminants in the fuel. In order to achieve the more aggressive steam conditions it is necessary to modify boiler design to include selection of the boiler tube materials that are resistant to corrosion. The intern, Danielle Salvatore, under the supervision of Curtis Berlinguette, has recently introduced a facile fabrication method in Science Advances of metal alloy and/or metal oxide layers. The near-infrared-driven decomposition process will be used to coat inexpensive tube materials with corrosion resistant layers. These materials will be used in targeted testing program under model tube and flue gas temperature conditions. A large savings in capital and maintenance costs could be achieved by applying a protective corrosion layer instead of utilizing more expensive tube materials. superheater conditions increases

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Faculty Supervisor:

Curtis Berlinguette

Student:

Partner:

Nexterra Energy Corp

Discipline:

Engineering

Sector:

Utilities

University:

The University of British Columbia

Program:

Accelerate

Fundamental study of lignin –urea formaldehyde interactions

The project focuses on using biobased materials (lignin) as a component in adhesives to make wood panel composites. The focus of the project is to reveal how the biobased material interacts with the resin as a function of lignin type. The research will lead to an understanding on how to replace expensive and synthetic components with biobased products, making it more cost competitive to produce panels, enhancing panel performance, and lowering emissions from the panel product.

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Faculty Supervisor:

Scott Renneckar

Student:

Partner:

Fibria Innovation

Discipline:

Physics

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Treaties and Boundaries Project

The role of this internship is to assist in reaching the SSHRC goal for the Dreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use, creating as full a historical, cultural, and economic record as possible, as well as strong land use management/consultation, water and asset management, and public health systems. This information will inform cultural research, treaty negotiations, and community development. This goal will be reached by the intern: 1) developing resolute mapping in shape file format to aid in the research and display of Aboriginal cultural heritage and landscapes, 2) translating land claims, treaty and traditional territory mapping documentation into resolute Shapefiles using GIS, uploading resulting files to Dreamcatcher to help document and preserve materials and information of cultural and historic value for the MNCFN, and 3) adding attribute information to the resulting spatial features, such as boundary assumptions, sources and disputes, and significant related cultural information

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Faculty Supervisor:

Donald Cowan

Student:

Partner:

8392692 Canada Inc

Discipline:

Sociology

Sector:

Management of companies and enterprises

University:

University of Waterloo

Program:

Accelerate

Automatic Civil Infrastructure Assessment Data Mining from Google Street View Images

The objective of the project is to demonstrate the automatic mining of Google Streetview data to assess the infrastructure of municipal assets, in particular the conditions of roadways. This is the short-term vision of the project. The long-term vision is that other assets such as bridges, tunnels, sidewalks, trees, etc. will be similarly be mined. In addition, the short-term vision is to demonstrate the ability to automatically provide an assessment that is keeping with standards provided by existing systems such as PASER (Pavement Assessment Surface Rating) or PCI (Pavement Condition Index). We have decided that the initial focus will be on providing such an output that we refer to as a qualitative assessment. Subsequently in the long term vision, the focus will be on delivering an additional quantitative assessment, for example, identifying cracks and potholes, characterizing them and localizing them, etc.

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Faculty Supervisor:

John Zelek

Student:

Partner:

The Public Sector Digest Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Effect of Fluid, Rock, and Simulator Variables on Liquid Solvent Heavy Oil Extraction

Heavy oil and bitumen in-situ extraction aided by solvent addition is a potential EOR technology that provides an alternative to the current thermal processes. However, its mechanism is not well understood yet. The aim of this study is to improve the understanding of solvent based processes by history matching experimental data using a reservoir simulator developed by Shell. At the end of this project, it is expected to find the variables which govern the behavior of the system and also find a suitable approach to history match the data in a short computing time. The benefit to Shell will be new insight into the field-scale modeling of solvent based in situ recovery processes gained by applying some methodologies that have been developed during the execution of the intern’s research project at the University of Calgary.

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Faculty Supervisor:

Harvey Yarranton

Student:

Partner:

Shell Chemicals Americas Inc

Discipline:

Engineering

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

La gestion du changement de l’implantation d’une solution de gestion de la relation client

l’été 2016. Le succès du projet dépendra en grande partie de l’importance accordée au volet humain du changement technologique. La présente recherche consiste à mesurer les effets des interventions en gestion du changement sur les préoccupations des gestionnaires et des utilisateurs finaux, en plus de suivre l’évolution de leurs réactions dans le temps. Cette démarche a pour but de formuler des recommandations en soutien à la formulation de plans de communication et de formation pour prévenir la résistance au changement à la
phase de déploiement. Le projet est pertinent pour l’étudiant puisqu’il s’agit d’une excellente opportunité pour développer une compréhension de la gestion du changement en organisation. L’organisme partenaire pourra s’appuyer sur des recommandations en guise d’accompagnement la suite du projet.

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Faculty Supervisor:

Céline Bareil

Student:

Partner:

DuProprio Inc

Discipline:

Mathematics

Sector:

Real estate and rental and leasing

University:

HEC Montréal

Program:

Accelerate

Process flow improvement at a Parallam mill using simulation modelling

In this project, the intern will study the impact of staffing changes and process improvements on the throughput of the remanufacturing department of a Vancouver Parallam mill. The intern will work closely with the Management Team and department employees to conduct the analysis. The objective of the work is to develop new and modify existing simulation models to evaluate potential alternatives in order to improve the productivity and efficiency of the remanufacturing department of the mill. In a previous project, it was determined that the packaging station was the bottleneck of the department, and it was recommended that further research be conducted to reduce the bottleneck. The developed simulation models will be used to evaluate the impact on throughput of several scenarios where staffing changes are made and then combined with changes in the processes of the department. Recommendations will be provided to the partner organization to assist the facility with their goal of increasing their throughput.

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Faculty Supervisor:

Taraneh Sowlati

Student:

Partner:

Weyerhaeuser

Discipline:

Engineering

Sector:

Forestry; Manufacturing and Construction; Natural Resources

University:

The University of British Columbia

Program:

Accelerate

Transient Production Decline Analysis of Unconventional Reservoirs with Realistic Heterogeneity and Fracture Morphology

The proposed research is a multi-disciplinary project, which aims at improving existing theories and developing innovative technologies to unlock Canada’s oil and gas resources in a more sustainable way. Theoretical models derived from physics and mathematics are to be examined with real data, and new approaches will be developed to face the technical challenges. Mentorship and realistic field feedbacks from the industry are of great importance to the intern’s research work. Available daily production data from the operating company are used to diagnose the physical conditions of underground oil and gas pools, and to help decision makers plan future activities with higher level of confidence and thus reduce risks of project failure and environmental impact to the public.

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Faculty Supervisor:

Gary (Gang) Zhao

Student:

Partner:

Husky Energy (Calgary, AB)

Discipline:

Engineering

Sector:

Mining; Wholesale trade

University:

University of Regina

Program:

Accelerate

Coupes partielles dans des peuplements de la forêt boréale mélangée : Réponses à l’échelle du peuplement, de l’arbre et du sous-bois à un gradient d’intensités sylvicoles

À l’instar d’autres juridictions, le Québec prend un virage écologique en matière d’aménagement forestier. Ce virage l’amène, entre autres, à expérimenter de nouvelles pratiques sylvicoles dont les coupes qui seraient inspirées de la dynamique naturelle des forêts et qui pourraient éventuellement remplacer, en partie, des coupes totales actuellement généralisées en forêt boréale. Avant de mettre en application à grande échelle ces nouvelles approches sylvicoles, il importe de les tester et évaluer, sur une période assez longue, dans cadre expérimental rigoureux. Le présent projet se situe dans ce contexte et vise à évaluer les effets de différents types de coupes « alternatives » expérimentales réalisées il y a 12 ans. Les effets en question incluent la survie, la croissance et la régénération des arbres et la biodiversité des plantes de sous-bois. Ces résultats aideront Tembec à développer des nouvelles pratiques forestières « écosystémiques » et socialement acceptables.

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Faculty Supervisor:

Brian Harvey

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.;Coopérative de solidarité en recherche et développement forestier de l’Abitibi-T

Discipline:

Earth science

Sector:

Forestry; Natural Resources; Sustainability & the Environment

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

GPU Performance Auto-tuning Using Machine Learning

Optimizing a program for Graphics Processing Units (GPUs) is critical for performance, yet remains a challenge due to the non-intuitive interactions among the optimizations and the GPU architecture. Automatic optimization tuning for a GPU is demanding particularly given the exploding number of mobile GPU variants in the market. We explore the use of machine learning in optimization auto-tuning, where a statistical model is automatically built to correlate the (measured) performance of some training programs with their characteristics, and is then used to predict the best optimization configuration for a new program without execution. The resulting auto-tuner relieves the programmer from either building an analytical system model by hand or spending a massive amount of time enumerating optimization configurations. This research will form the intern’s PhD thesis, and its outcome has the potential to significantly enhance the productivity of writing high-performance programs for Qualcomm GPUs.

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Faculty Supervisor:

Tarek Abdelrahman

Student:

Partner:

Qualcomm Canada Inc

Discipline:

Engineering

Sector:

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

University:

University of Toronto

Program:

Accelerate

Biomolecular Structure Analysis to Accelerate Develoment of New Vaccines and Monoclonal Antibodies

Manufacturing of consistently high quality products is the commitment of the pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of biologic products which, relative to small molecular drugs, have a larger size, are more complex in structure and are thus more difficult to characterize. Modern instrumental analyses, including Mass Spectrometry, Nuclear Magnetic Resonance and Capillary Electrophoresis, are capable of high resolution and precision analyses of primary and higher order biomolecule structures. Using these cutting-edge technologies, we are proposing to develop new methodologies to improve biomolecule characterization. The proposed internships will provide training in these advanced technologies and thus foster the development of a talent pool of highly qualified Canadians with expertise to contribute to research-based biopharmaceutical industries.

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Faculty Supervisor:

Derek Wilson;Yi Sheng;Sergey Krylov

Student:

Partner:

Sanofi

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Health and Related Sciences & Technology; Biotechnology

University:

York University

Program:

Accelerate

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