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

Congestion Prediction in Energy Networks Using Machine Learning

Energy networks are often very complex which results in highly unpredictable congestion patterns in the physical constraints of the network. Most efforts to model congestion in energy networks are made on toy problems. Here, the objective is to model and predict congestion in a real physical energy network using automated machine learning systems, in particular deep neural networks. Physical properties of the network will also be properly modelled. The proposed method is expected to predict congestion with higher accuracy than the existing methods used by the partner organization. The intern will learn how to apply his knowledge in deep neural networks to a real-world complex problem.

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Faculty Supervisor:

Sue Becker

Student:

Partner:

Invenia Technical Computing

Discipline:

Computer science

Sector:

Information and cultural industries

University:

McMaster University

Program:

Accelerate

Enzymatic hydrolysis of wheat straw derived xylo-oligomers stream into monomeric sugars Phase II

The proposed research project is around conducting feasibility studies on the purification and conditioning of industrial hemicellulosic C5 sugars from a number of potentially commercial wheat straw liquor fractions. The research will propose experiments where data for the ultimate evaluation of enzymatic hydrolysis vs. a selected comparative list of acid hydrolysis can be included. The purpose is in acquiring a detailed analysis of the potential monomeric sugars. With one representative product, we would also like to gain a preliminary understanding regarding the efficacy of enzymatic hydrolysis of a soluble wheat straw xylan stream. The end goal of this potential collaboration is to compare dilute acid to enzymatic hydrolysis and identify downstream impacts on proprietary catalytic hydrogenolysis conversion processes

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Faculty Supervisor:

Jack (John) Saddler

Student:

Partner:

S2G Biochemicals Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Evidence-informed best practice guidelines for recreational programs in residential care

The goal of the proposed research project is to survey evidence of the effectiveness of recreational therapy programs and disseminate this information through a therapy guide and algorithm that will assist recreation program staff in BC and Ontario in meeting the needs of
residents living in residential care facilities. The guide will provide a comprehensive review of programs that recreational therapists can access and use in their practice. It will also summarize evidence of the effectiveness of various programs based on the demographic
(age, gender, ethnicity) and clinical (physical and cognitive status) characteristics of residents. Finally, the guide will include an algorithm that utilizes the above information to provide recommendations to recreational therapists on patient-specific best practices.

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Faculty Supervisor:

Stephen Robinovitch

Student:

Partner:

British Columbia Care Providers Association

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Défis et tendances dans la gestion des talents-clés d’expérience dans le secteur de la finance et de l’assurance

Le vieillissement de la population bouleverse le marché de l’emploi. Ce projet de recherche, mené auprès des premiers responsables RH du secteur de la finance et des assurances (entrevues et questionnaires), vise à analyser les défis de gérer un capital humain clé instruit vieillissant dans ce secteur ainsi que d’identifier des actions et des activités de clés (p.ex., rémunération, attraction, engagement, etc.) qui permettront aux entreprises de ce secteur d’optimiser leur performance et leur compétitivité. Créée en 2010 par les acteurs du milieu financier à l’invitation du gouvernement du Québec, Finance Montréal sera le partenaire de ce projet de recherche comme il s’inscrit clairement dans sa mission de consolider le secteur financier au Québec et de faire reconnaître Montréal comme une place financière au Québec.

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Faculty Supervisor:

Sylvie St-Onge

Student:

Partner:

Finance Montréal

Discipline:

Sociology

Sector:

Finance and Insurance

University:

HEC Montréal

Program:

Accelerate

An examination of the determinants of certification and licensure examination methods in Canada

In Canada, the majority of the regulated occupations in Canada are controlled by provincial and territorial law and are governed by professional bodies with the authority to set entry requirements and standards of practice and to issue licenses and/or certificates of practice to qualified skilled labour (CICIC, 2006). There is an increasing demand for professionalism generates concerns on accreditation and occupational requirement. To respond to this industry trend, the current research project will examine how different regulatory agencies in Canada examine their potential members. A multivariate regression model will be used to explore the determinants of a regulatory agency’s willingness to use various examination systems and the determinants of their standards of examination. In conclusion, this research will shed light on the influence of an occupation’s characteristics on examination methods and difficulty, while allowing the industry partner an opportunity to explore the possibility of transferring this examination system to other regulated occupations in British Columbia and Canada.

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Faculty Supervisor:

Eric Li

Student:

Partner:

0944303 BC Ltd

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of British Columbia - Okanagan

Program:

Accelerate

Smart Energy Network at residential to community levels: optimization of natural gas, electricity and heat with end-use devices

There is growing pressure from intergovernmental organizations, governments and consumers to reduce the quantity of greenhouse gases being released into the atmosphere. Investments in green technology such as renewable energy sources, battery technology and carbon capture and sequestration can often yield significant reductions in carbon emissions. However, the corresponding economic costs of these projects can regularly result in a balancing act between environmental benefit and affordable energy consumption. Smart Energy Network, SEN, systems could provide a solution to this dilemma. This proposal is about integration and optimization of the energy sources electricity (E), natural gas (NG), heat (or thermal, T) and end use devices at a community to residential level. Optimal integration of advanced storage, on-site generation, end-use devices, and large penetration of renewable energy sources will be studied. The main reason for integration and optimization of the energy sources is to deliver end-user services in the most affordable, reliable and sustainable way and to relieve grid congestion by conversion of energy sources, storage and multifunctional/multifuel end-use devices.

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Faculty Supervisor:

Eric Croiset

Student:

Partner:

Union Gas Ltd (Stoney Creek, ON);Canadian Gas Association

Discipline:

Engineering

Sector:

Utilities

University:

University of Waterloo

Program:

Accelerate

Elk River Flood Solutions Strategy

Flooding causes significant impacts to economic activities, disrupts and displaces populations and creates substantial risk to human safety. Recovery efforts from major flood events can be lengthy and have huge economic impacts both in loss of revenue and cost of repair and restoration. Changes in physical characteristics, economic practices and/or human actions can impact the hydrology of a watershed. The Elk River has experience extreme flooding in 1995, 2005 and 2013. The proposed Elk River Alliance (ERA) Flood Solutions Strategy Study will (i) prepare a literature review of flood mitigation and adaptation programs and policies applicable in the Elk Valley; (ii) model historical runoff
and a range of future runoff scenarios in the watershed based on a series of landuse and climate change scenarios; and (iii) provide advice and direction on a range of strategies, policies and adaptation plans to increase Elk Valley resiliency and reduce vulnerability to flooding.

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Faculty Supervisor:

James Byrne

Student:

Partner:

Elk River Watershed Alliance

Discipline:

Physics

Sector:

Agriculture

University:

University of Lethbridge

Program:

Accelerate

Mapping, geochemistry and mineralisation of the Laird Lake area, Red Lake, Ontario

Shear zone-hosted, or orogenic, gold deposits are a significant mineral resource in the Superior Province of Canada. This study will investigate the nature and genesis of gold mineralisation in the Red Lake area of the Uchi subprovince. Recent exploration by Bounty Gold Corp. has identified Au mineralisation in the Laird Lake area close to the giant deposits of Red lake. This study will characterise the nature and tectonic setting of the host rocks to the mineralisation in order to provide a framework for subsequent studies into the Au-bearing fluids themselves. The mineralisation will be investigated using a combination of mapping, petrology, alteration studies and isotope work (Sm-Nd, O and H). Results from this study will be compared to orogenic gold deposits in Canada and Australia leading to significant advances in our understanding of this deposit type and the development of new exploration models.

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Faculty Supervisor:

Peter Hollings

Student:

Partner:

Bounty Gold Corp

Discipline:

Earth science

Sector:

Mining

University:

Lakehead University

Program:

Accelerate

Mathematics Mapping project

To support the development of a developers’ toolkit for educational digital applications that use mathematics content, Erudite Science is creating a library of mathematics content and functions. Because mathematics is such a vast field, typical application functions such as search, manipulation, and inference, frequently return irrelevant results. The search process can be facilitated through the use of semantically structured resource stores. The Mathematics KnowledgeMap project will develop a knowledge representation model that offers the logic behind the organization of information for our mathematics content retrieval system. The representation model will feed into an associative index that facilitates search and information retrieval within mathematics curriculum resources. The resulting index is designed for use by Erudite Science’s content management system. The intern will perform content analysis of the mathematics curriculum documents, and contribute to the documentation and semantic graphing of the mathematical domains, learning expectations and problem constraints represented within the Ontario and Quebec mathematics curricula.

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Faculty Supervisor:

Anna Sierpinska

Student:

Partner:

Erudite Science

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

Concordia University

Program:

Accelerate

Effect of Action-Effect Association on Modulation of Attentional Capture in Aiming Movements

The purpose of this project is to determine if associations between actions and their effects can modulate attention capture. This goal will be achieved by measuring reaction time interference and monitoring eye movements while participants reach towards targets in the presence of a distractor. Participants will reach towards targets that are onset (appearance) or offset (disappearance) events in the presence of offset or onset distractors, respectively. This task will be done both before and after completing a session where participants will execute a series of free-choice reaching movements to targets that will disappear once they touch them. This phase should elicit a novel action-effect association between reaching movements (action) and offset events (effects). It is hypothesized that following training there will be increased distraction caused by offset events. These findings will indicate how associations between actions and effects drive attentional capture and may be useful in developing new human-computer interfaces.

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Faculty Supervisor:

Timothy Welsh

Student:

Partner:

Indian Institute of Technology Gandhinagar

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Malaria Detection using Optofluidics and Retinal Imaging

The proposed project is to develop an affordable point-of-care malaria detection system. The system would have two modes of operation. The screening mode is based on optofluidics, a combination of optics, and microfluidics. Optofluidics can be used to analyze blood samples to detect malaria biomarkers. Imaging of the blood samples can be done quickly and without laborious procedures, which is a benefit for remote areas that are affected the most by malaria. The second mode involves retinal imaging that provides additional information that can distinguish severe malaria from other parasitic diseases. This is important for correctly identifying malaria, and determining the appropriate course of treatment. The project is expected to result in new detection tools that will make malaria detection quicker and more reliable, as well as being inexpensive and useable in remote locations.

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Faculty Supervisor:

Marinko Sarunic

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

Simon Fraser University

Program:

Globalink Research Award

A hydrologic-economic model for urban wastewater management planning

Provision of adequate wastewater management in urban centres of developing countries is becoming increasingly challenging due to rapid population growth and emergence of informal settlements. To assist in effective planning of future wastewater management systems,
mathematical models have been developed to estimate the performance of various wastewater management strategies. However, the models have only focused on conventional sewerage systems without considering small, decentralized wastewater management systems that can be more flexible and cost effective in responding to rapid urbanization. To address this gap, the proposed study aims to (1) develop a simulation model that integrates socioeconomic forecasts (e.g. population growth, income level) with centralized and decentralized wastewater management strategies, and to (2) apply the developed model to the case of Mumbai, India to demonstrate the utility of the tool in identify promising wastewater management strategies. The study will ultimately provide a platform for evaluating decentralized wastewater systems in the context of rapid urbanization around the world.

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Faculty Supervisor:

Yu-Ling Cheng

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

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