Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of the art technology in classifying modes of transportation (e.g. walking, biking, driving) using the data from smartphone sensors such as GPS or accelerometer, and subsequently leverage this to provide a better behavioural analysis platform for academic research, particularly in public-health and social science domain.

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Faculty Supervisor:

Michael Horsch

Student:

Partner:

Ethica Data Services Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Le capital stratégique : développement du construit et évaluation dans un contexte de communauté intelligente et innovante

Plusieurs villes réalisent des projets pour se transformer en villes intelligentes (Vi), c’est-à-dire un meilleur endroit pour vivre et travailler. Les principaux objectifs d’une Vi consistent à offrir des services plus efficaces, instituer la participation citoyenne, une gouvernance transparente et le développement durable. Le processus de transformation en Vi est complexe et nécessite la collaboration d’acteurs multidisciplinaires et multisectoriels. Mon projet de recherche vise donc mieux comprendre comment une ville peut développer une capacité à se mobiliser rapidement pour collaborer le plus efficacement possible dans le processus de transformation en Vi. Cette capacité est appelée capital stratégique. Les partenaires sont la CDEC-Sherbrooke et son partenaire la Table de concertation « Sherbrooke intelligente et innovante ».TO BE CONT’D

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Faculty Supervisor:

Manon Ghislaine Guillemette;Alexandre Moïse

Student:

Partner:

Corporation de développement économique communautaire de Sherbrooke

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Public administration; Utilities

University:

Université de Sherbrooke

Program:

Accelerate

A Comparative Analysis on Two Asset Condition Assessment Protocols Used in Canada; PACP and City of Edmonton’s SPCCM

Water and sewer research centers have developed protocols to examine and grade assets and infrastructure already in use. These protocols are widely accepted across the world and municipalities have been using them for assessing their pipeline conditions, which is the foundation of pipeline rehabilitation projects and a key factor for their success. The major aim of this study is to address the needs for a unified, national asset condition assessment protocol in Canada, by comparing PACP which is used in many Canadian cities and SPCCM, and by providing advantages and disadvantages of each system from the owner’s and contractors’ points of view. The anticipated results of this research include optimization and increased overall efficiency, while reducing project costs.

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Faculty Supervisor:

Alireza Bayat

Student:

Partner:

Discipline:

Engineering

Sector:

University:

University of Alberta

Program:

Accelerate

Understanding the Millennial Sports Fan

Millennials are a large, tech savvy demographic that media companies are expending significant resources to connect with and market to. This project will develop a comprehensive understanding of the sport media consumption habits of Canadian Millennials, aged 18-24, using surveys and other methods being employed by researchers across the country. Understanding Millennials consumption patterns and behaviours is of paramount importance to sport media companies. The industry partner, Rogers Sportsnet, well benefit from this project because the results will allow it to assess its investments in sport media properties and the resonance of its media engagement with Millennials.

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Faculty Supervisor:

Cheri Bradish

Student:

Partner:

Rogers Sportsnet

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Toronto Metropolitan University

Program:

Accelerate

Habiter le Vieux-Montréal et ses anciens faubourgs : Enjeux, conflits et perspectives de développement résidentiel dans les quartiers anciens

Le paysage du Vieux-Montréal et des anciens faubourgs est en train de changer face à l’augmentation du nombre de touristes, d’événements et surtout de résidents (de 500 dans les années 1960 à plus de 6000 résidents en 2016). Ce secteur unique à Montréal est confronté à mieux faire cohabiter la fonction résidentielle avec les fonctions touristique, commerciale, culturelle et les événements. C’est quoi habiter le Vieux-Montréal et ses anciens faubourgs aujourd’hui? Comment les mesures d’intervention proposées en vue du 375e anniversaire de Montréal peuvent-elles influencer le développement harmonieux du secteur? Quelles améliorations de l’action de l’urbanisme et stratégies des milieux des affaires pour consolider la fonction résidentielle dans le secteur tout en développant le tourisme? Voilà les questions auxquelles l’étude permettra de répondre afin d’orienter l’action publique en matière de planification urbaine et les stratégies des milieux des affaires représentés par la Société de développement commercial du Vieux-Montréal.

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Faculty Supervisor:

Priscilla Ananian

Student:

Partner:

SDC du Vieux-Montréal

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Montréal

Program:

Accelerate

Investigating Player Behaviour in Social Networking Games

Social Network Games are multi-player games played through social networking sites (e.g. Facebook). Working in conjunction with Big Viking Games, the Canadian company behind Facebook games such as YoWorld and FishWorld, this research seeks to add much needed knowledge about who plays Social Network Games, what activities they undertake while participating in these gameworlds, as well as why some people quit playing. This proposal contains two distinct parts: a) an investigation into why players quit YoWorld and b) an investigation into the player behaviour of hoarding in-game items in FishWorld, a collecting game where players care for fish and decorate their fish tanks. Drawing on a mixed-method study design, the goal of this research is to demonstrate that engagement with “casual games” is often anything but casual.

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Faculty Supervisor:

Jennifer Jenson

Student:

Partner:

Big Viking Games

Discipline:

Sociology

Sector:

Information and cultural industries

University:

York University

Program:

Accelerate

Biomolecular Quantitation and Structure Analysis to Accelerate Development of New Vaccines

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 and quantitation. Using these cutting-edge technologies, we are proposing to develop new methodologies to improve biomolecule characterization. TO BE CONT’D

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Faculty Supervisor:

Yi Sheng;Derek Wilson;Sergey Krylov

Student:

Partner:

Sanofi

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Health and Related Sciences & Technology; Biotechnology

University:

York University

Program:

Accelerate

In-vivo translation of neuronal cell regeneration/reprogramming protein in mouse with chronic spinal cord injury

Chronic spinal cord injury (SCI) is a debilitating disease with enormous economic and personal impact. To date there is no approved treatment that can repair the severed nerves found in SCI. The research project entails translational development of an early stage experimental protein drug candidate that has shown remarkable ability to trigger dormant human stem cells to rapidly differentiate into functional neuronal populations. Both the drug candidate’s safe dosage range and efficacy in regenerating neurons at the site of injury will be studied. The goal of the project is to test the feasibility of this protein drug to enter clinical development.

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Faculty Supervisor:

Wolfram Tetzlaff

Student:

Partner:

iProgen Biotech Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Development and characterization of composites

In this project, Global Heat Transfer Ltd. (GHT) partners with the Composites & Optimization research group at the University of British Columbia in the Okanagan in order to integrate additive manufacturing into GHT’s current production line. Fabrication of high-performance compact radiator cores through additive manufacturing (AM) will not only resolve some of the current radiator manufacturing issues, but also will make the manufacturing process faster and environmentally friendlier. Without need for metal forming, machining, welding, brazing, and molds and dies, the AM technology, which is known as the third industrial revolution, will allow production of new high-performance thermoplastic composite radiator cores with complex three-dimensional configurations through a single-step process with no time penalty.

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Faculty Supervisor:

Abbas Milani

Student:

Partner:

Global Heat Transfer Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of British Columbia - Okanagan

Program:

Accelerate

Réalisation d’un laser à fibre haute puissance (kW) sans épissure

Les réseaux de Bragg à fibre optique (FBG) photo-inscrits par laser sont des composants essentiels à l’opération de lasers à fibre robustes. Traditionnellement, les FBG sont inscrits dans des fibres passives, qui sont ensuite fusionnées à la fibre active pour former la cavité laser. Cependant, en plus d’exiger de fastidieuses manipulations de fibres, les fusions entre fibre dissymétriques deviennent un point de défaillance critique lors de l’opération laser à très haute puissance moyenne (régime kilowatt continu). L’objectif du projet consiste à réaliser la démonstration d’une cavité laser monolithique (i.e. sans épissure) opérant à une puissance moyenne d’au moins 1 kilowatt en inscrivant les réseaux directement dans la fibre active par inscription laser femtoseconde. Le projet présente un fort intérêt industriel pour l’entreprise TeraXion qui se spécialise dans le développement et la commercialisation de FBG pour différentes applications.

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Faculty Supervisor:

Martin Bernier;Réal Vallée

Student:

Partner:

TeraXion Inc (Québec, QC)

Discipline:

Physics

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

New statistical machine learning methods applied to high dimensional sensory input data from chemistry

Machine learning is the concept where a computer can be trained to recognize data and predict future outcomes based on the trends that exist in the data. This method of analysis has not been used on engine data, specifically in-line oil. Oil is an engine’s lifeblood and a lot of data can be collected and engine health can be predicted based on these measurements. This project aims to deploy machine learning concepts in the area of engine failure prediction. A special sensor equipped with the machine learning algorithm will be able to report all vital signs of an engine in a matter of minutes.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

MaxFleet Solutions Ltd

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Filling in the gaps of the IMD immune pathway of the kissing bug Rhodnius prolixus

Rhodnius prolixus is a hemathophagous insect that has served for decades as a model to study insect physiology. Rhodnius prolixus is also a major vector of Trypanosoma cruzi, the etiological agent of Chagas disease that kills 45,000 people annually and affects over 8 million people worldwide. The genome of R. prolixus contains ~15,500 predicted protein-coding genes. Many pathways such as the Toll and JAK-STAT pathways were present. Key components of the highly conserved IMD pathway, however, were not detected; this observation is also shared with other hemimetabolous insects: the pea aphid, the bedbug, and the head louse. Despite the fact that many genes of the IMD pathway are not found in the R. prolixus genome, effector immune genes normally regulated by the IMD pathway are still expressed after a bacterial infection. TO BE CONT’D

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Faculty Supervisor:

Carl Lowenberger

Student:

Partner:

Universidade Federal do Rio de Janeiro

Discipline:

Life Sciences

Sector:

University:

Simon Fraser University

Program:

Globalink Research Award

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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.