Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Statistical analysis of molecular genetic mechanisms underpinning eco-morphological adaptation (sham- and blunt-snouted forms) of the Manchurian trout

There is no memorandum project overview associated with this application.

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Faculty Supervisor:

Elizabeth Boulding

Student:

Partner:

Sangji University

Discipline:

Life Sciences

Sector:

University:

University of Guelph

Program:

Globalink Research Award

Analysis of Bio-inspired Operations with Error Tolerance based on the Formal Language Theory

There is no memorandum project overview associated with this application.

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Faculty Supervisor:

Kai Salomaa

Student:

Partner:

Yonsei University

Discipline:

Computer science

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

Distribution theory and hybrid censoring : Models, inferential results and applications

There is no memorandum project overview associated with this application.

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Faculty Supervisor:

Narayanaswamy Balakrishnan

Student:

Partner:

Kyungpook National University

Discipline:

Mathematics

Sector:

University:

McMaster University

Program:

Globalink Research Award

Continuous Leaching and Recovery of Silver Sulphide Ore in Cupric-Ammonia Thiosulfate Medium

The conventional way of treating silver ore is using cyanide during leaching process, also called cyanidation. Due to the inherent toxicity of cyanide and the potential hazard toward human and environment, cyanidation has raised more public concerns in our society. More and more regions have strict regulations or prohibition on using cyanide. An alternative leaching method for silver ore is necessary. Among all the proposed alternatives, thiosulfate leaching is the most promising one. Low toxicity and low cost make thiosulfate leaching attractive. Many studies have shown good results on thiosulfate leaching. However, before applying this new technique in real-world, the leaching system should be scale-up. The project adapts the thiosulfate leaching system in the condition that is more like the industry. By doing this, the scale-up data can be generated. Moreover, the data can be used in future research, as well as the real-world applications.

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Faculty Supervisor:

David Dreisinger

Student:

Partner:

Pan American Silver Corp

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Les dimensions d’évaluation des projets d’innovation : le cas d’un outil de pilotage de la valeur étendue des initiatives du nouveau laboratoire d’innovation de l’entreprise GSOFT

Au sein de l’entreprise de génie logiciel GSOFT, le GLAB est un laboratoire d’idées où les employés de l’entreprise sont invités à envoyer des idées innovantes qui seront traitées pour potentiellement voir le jour. Ces idées peuvent être proposées autant pour de nouveaux produits, que pour la communication, le marketing, ou les processus internes, par exemple.
Relativement à cette nouvelle démarche d’innovation, nous pouvons soulever deux questions interdépendantes : (1) Quels sont les critères qui déterminent la valeur d’un projet d’innovation au delà de la seule évaluation de la rentabilité économique du produit développé ? TO BE CONT’D

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Faculty Supervisor:

Marine Agogué

Student:

Partner:

GSOFT

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Developing the Innovation Capabilities of a Specialized Manufacturing Firm: A Longitudinal Action-Research Case Study

This field research project is a continuation of an on-going multi-year action-research program, undertaken in a large Manufacturer of Industrial products in the Energy Sector. Like many Canadian corporations, faced with pervasive globalization, economic uncertainty, fierce competition and strict legislations, this Family-owned Company aims at revitalizing its product lines, entering new specialized market niches and upgrading the technological level of its offering through the introduction of Internet of things (IoT). Using a multidisciplinary perspective of technological and organizational change, our action-research program will study the dynamics of innovation during the unfolding of 3 major initiatives aimed at improving the long-term innovation capabilities and propelling the Company under study into the Digitalization age: 1) Digitalization of products/services (Internet of things, etc.); 2) Market Scanning & Analysis Methods; and 3) Open and collaborative innovation.

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Faculty Supervisor:

Isabelle Deschamps

Student:

Partner:

Velan Inc

Discipline:

Business

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Experimental and field-based validation of environmental DNA (eDNA) monitoring of juvenile and resident salmonids in British Columbia streams

Determining the distribution and abundance of species is a central requirement for making sustainable resource management decisions. Ecofish, in collaboration with the University of Victoria, would like to evaluate if environmental DNA (eDNA) methods can be used to reliably detect low density salmonid species in streams, with the objective of implementing eDNA as a defensible methodology in the environmental consulting industry in British Columbia. The potential to use eDNA to augment or replace current more invasive methodologies (e.g., electrofishing, night snorkeling), is great, however a number of key research questions remain regarding the spatial and temporal behaviour of eDNA material in streams. The proposed intern, Jeff MacAdams, is nearing the completion of his M.Sc. thesis at the University of Victoria working to understand the detection limits of juvenile Coho Salmon in experimental tanks and natural streams using eDNA. TO BE CONT’D

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Faculty Supervisor:

Brian Starzomski;Caren Helbing

Student:

Partner:

Ecofish Research

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Privacy Enhanced Decentralized Identity System

Currently, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much to gain from such solution. A federated identity ecosystem in which RPs and IdPs have to connect only once has further benefits. While deployed identity brokerage systems provide great utility to their participants, it has been noted that the principles upon which they are designed have several security and privacy gaps. Potential shortcomings of federated identity access systems stem from a central observation point, where a ‘honest but curious’ or ‘compromised’ broker may gain unauthorized access to the data. TO BE CONT’D

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Faculty Supervisor:

Marsha Chechik

Student:

Partner:

SecureKey Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Automated Impact Analyses to Support Code Review Practices

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based on low-level textual differencing, which place the prior and updated versions of the software source code next to one another. In this project, we will develop a tool to display high-level impact data (e.g., the areas of the released software system that are impacted by the change) by data mining archives of historical change data. We suspect that these improved tools will help Dell EMC (our partner organization) to improve the feedback being generated by their peer reviewing process and avoid costly software quality issues.

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Faculty Supervisor:

Shane McIntosh

Student:

Partner:

Dell EMC (ON)

Discipline:

Computer science

Sector:

Information and cultural industries

University:

McGill University

Program:

Accelerate

Researching and Evaluating SBL’s Youth Space Model, Summer Program, School Year and March Break Career Exploration Programs and Improving SBL’s Research-Evaluation Framework

This project takes a holistic and comprehensive analysis of all aspects of Success Beyond Limits (SBL’s) programming as well as their research and evaluation frameworks. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to find, secure and keep meaningful employment. This research will capture the experiences of those young people coming to SBL’s programs, identify the barriers they face with respect to employment and measure the impact of all of SBL’s programs. The benefits of this research for SBL is the ability to fine-tune current program, create new and innovate programs that fill gaps as well as the ability to report in more sophisticated ways. With an opportunity for sustained research and digitizing all past research and evaluation data will better position the organization to funders and stakeholders alike. TO BE CONT’D

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Faculty Supervisor:

Carl James

Student:

Partner:

Success Beyond Limits

Discipline:

Sociology

Sector:

Education

University:

York University

Program:

Accelerate

Legal Question Answering with Bidirectional LSTMs

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still nascent in legal research and it has been identified as potentially fruitful. By reviewing and adding to the most recent developments in natural language processing and machine learning available in academic literature, this project aims to increase the reliability and capability of this artificial intelligence.

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Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

ROSS Intelligence Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Optimizing Docto’s Predictive models using Machine Learning Techniques

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the patient. The partner organization will use this model in their application to allow diabetics to see an estimate of their future blood-glucose level. This will allow them to change their current behaviour to avoid high risk situations that could present a risk to their health. Moreover, with the data collected, the partner will also be able to give personalized advice to a patient to regulate his/her blood-glucose level more efficiently.

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Faculty Supervisor:

Jared Simpson

Student:

Partner:

Bio-Conscious Technologies Inc

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

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