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

Renewable Natural Gas Opportunities and Advancement

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the investment to construct and operate a facility. Some of these factors are based on the organic waste materials quantity and quality that are available, but some of it is also based on the legislative policies and incentives for clean energy. This research proposes 3 aspects that are vital to advance our research into this domain. First, to improve and refine our algorithms for predicting the quantity and quality of biogas that can be attained from waste via anaerobic digestion. Second, to complete market research into the various policies and incentives in place worldwide and the effects of these policies for anaerobic digestion uptake in constructing facilities. Third, to identify and implement a rigorous and automated quality assurance engineering practice on our software solution to ensure correctness.

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Faculty Supervisor:

David Bremner

Student:

Partner:

Anessa

Discipline:

Computer science

Sector:

Information and Communications Technology; Clean Technology

University:

University of New Brunswick

Program:

Accelerate

Development of a subject-centered social media – Phase 2

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ opinion. There is a prototype system already developed as a proof of idea. The intern will enhance the prototype by adding new functions and modules to it.

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Faculty Supervisor:

Behrouz Far

Student:

Partner:

Crowd Act Inc

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology

University:

University of Calgary

Program:

Accelerate

Hydrogen Gas – Carbon Microsphere and Graphene Oxide Adsorption/Desorption Analysis for solid state hydrogen storage

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. This research project investigates methods to analyse required traits of storage materials, including surface area and pore volume, to develop methods and materials to increase hydrogen gas storage capacity to ensure the successful transition for decarbonization in the transportation sector.

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Faculty Supervisor:

Onita Basu

Student:

Partner:

Hydrogen in Motion

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Development of a clinical decision support system to augment multi-disciplinary tumor board decision-making

We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the decision-making process. Clinical parameters and lesion characteristics parameterized from CT imaging will be used as inputs to the ML-based classifier. The ML classifier will be one of several components in the CDSS Application, called Janus, including auto-segmentation of normal anatomy and lesions and contour parametrization tools. The proposed CDSS application will impact health care delivery at the partner institution in several ways including 1) improving lung metastases MDT efficiency, 2) providing quality assurance to ensure consistent, evidence-based decision making and 3) enable knowledge sharing by deploying the CDSS in other partner-institutions without similar MDTs.

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Faculty Supervisor:

Dionne Aleman

Student:

Partner:

Princess Margaret Cancer Centre

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Moose (Alces alces) winter habitat selection in the Northeast Superior region: comparing ways of knowing and seeking joint solutions using improved forest data

The goal of this research project is to identify where Indigenous Knowledge differs from how the province of Ontario understands and manages winter moose habitat, in order to better protect moose populations in the Northeast Superior region. Additionally, new and improved forest inventory data in the region will be investigated as a potential tool to help close the gaps identified through interviews and community engagement. This project will be carried out with the support of Wahkohtowin Development and aims to provide this organization with new information to better assist their owner First Nations in conversations about moose with forestry companies and the province

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Faculty Supervisor:

Jesse Popp

Student:

Partner:

Wahkohtowin Development General Partner Inc.

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Development, Design, and Implementation of Low Carbon Concrete Structures

The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide safe and durable structures, advanced testing techniques (e.g. hybrid simulation) and sensor technologies (e.g. distributed fibre optic strain sensing) will be employed. Advanced approaches to the design of these low cement structural elements will also be developed. To create awareness and promote industry acceptance, the full project team (partners and researchers) will work together to design, construct, and test a demonstration structure. A critical element of this research are the internships with partner Arup where advances in design will be transferred to industry. All 5 students involved in this research will participate in these internships.

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Faculty Supervisor:

Neil Hoult;Evan Bentz;Joshua Woods

Student:

Partner:

ARUP

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Multi-hazard Risk & Resilience Assessment for Real Asset Decision-Support

High-resolution natural risk analysis of client-specific asset portfolios that supports science-based decision making for asset modernization, upgrade and acquisition & disposal is a crucial part of asset management in the face of major natural hazards and climate change. The interns will work to combine existing insurance catastrophe models and advanced engineering analysis of earthquake, extreme wind and flood to expand an existing portfolio risk simulation tool, which enables asset-specific risk assessment and integrated portfolio network analysis, to perform fast high-resolution multi-hazard analysis that provides comprehensive decision-support for stakeholders. This project will enable Kinetica Risk to expand into a large and un-accessed market that addresses one of the key issues for portfolio managers, and at the same time advance the state-of-practice in real asset management.

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Faculty Supervisor:

Brent Sleep;Constantin Christopoulos;Girma Bitsuamlak

Student:

Partner:

Kinetica Risk

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Monitoring the Frost Heave of Screw Pile in glacial deposits of Alberta: a case study in the field

In Canada, screw piles are widely used in supporting residential and commercial buildings. While the design of screw piles are general well-known to engineers, the uplift displacement of screw piles during the winter season is still mysterious, especially in cases where screw piles are installed in frost-susceptible soils. The present project is intended to conduct a field test of screw piles in the clay of Alberta and therefore to provide a case study for the engineering performance of screw piles in cold regions. The project will provide an empirical correlation between frost uplift of piles and the control conditions of soils. The outcome of the project will safeguard the general public from building damage caused by the cold temperature.

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Faculty Supervisor:

Lijun Deng

Student:

Partner:

Greentown Homes

Discipline:

Engineering

Sector:

Construction and infrastructure; Real estate and rental and leasing

University:

University of Alberta

Program:

Accelerate

Smarter Collaborative Software to Support Energy Operations Centers

For so many years, industries that are heavily reliant on geospatial data have been working with paper maps unfolded on tables. Some of these companies are still using paper maps to analyze huge amounts of data despite the current availability of geographic information system (GSI) for storing and managing geospatial data. Data management tasks using these traditional methods are asynchronous and very tedious. Delays in updating these maps can pose a safety risk for field workers who may bew guided based on outdated information. GIS applications are used for capturing, storing, managing, analyzing and dispaying geograpgically referenced information. GIS applications are used for capturing, storing managing, amalyzing and displaying geographically referenced information. Some electrical utilities have their own GIS data which includes details of their circuits, power-lines, and other company details. GIS applications are typicall used to create interactive queries, anlayize spatial information, edit data and present the results of these operations. Some control ocenter teams in electricity companies, however, still prefer to use printed paper maps on tables to discuss and analyze snapshots of the data. Most GIS applications are focused on upporting a single iser and since these teas typically work collaboratively, they prefer using printed maps.

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Faculty Supervisor:

Frank Maurer

Student:

Partner:

C4i Consultants Inc;University of Calgary

Discipline:

Computer science

Sector:

Education

University:

University of Calgary

Program:

Elevate

Faciliter l’intégration sociale des familles immigrantes : quels sont les besoins de formation des organismes d’action communautaire autonome?

L’Institut national de formation et de recherche-action (Infra) est un organisme à but non lucratif dont une partie de sa mission est d’offrir des formations destinées aux OBNL. Dans le but de développer un nouveau créneau de formation et de répondre aux besoins des collectivités, l’Infra souhaite élaborer et évaluer une formation portant sur l’intégration sociale des familles immigrantes, basée sur des pratiques prometteuses développées par des organismes d’action communautaires autonome. Le travail de l’étudiante boursière a pour but de connaître les besoins de formation d’organismes communautaires, afin de circonscrire les contenus à développer. Pour ce faire, l’étudiante boursière aura la responsabilité de créer et de tester un questionnaire en ligne, de faire l’envoi du questionnaire, d’assurer le suivi, d’analyser les résultats et de présenter par écrit et oralement les résultats de l’étude de besoin aux membres du conseil d’administration de l’Infra.

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Faculty Supervisor:

Julie Noël

Student:

Partner:

Institut national de formation et de recherche-action

Discipline:

Sociology

Sector:

Education

University:

Université de Sherbrooke

Program:

Accelerate

Groundwater and Contaminant Transport Modelling of Denison Tailings Management Areas

This research project evaluates the environmental performance of two tailings management areas at a decommissioned mine site in Ontario. The tailings areas are decommissioned with a water cover and continue to be managed and monitored with ongoing water treatment. The project revisits groundwater modelling that was conducted prior to the decommissioning of the site and updates it using nearly three decades of environmental monitoring data and advancements in software. The groundwater model will determine the rates and directions of groundwater flow from the tailings areas. A second model will use the outputs of the groundwater model and groundwater chemistry data to identify potential effects on the long-term water quality in nearby lakes and rivers that receive this groundwater flow. The project provides an assessment of the long-term performance of this type of facility using decades of observed data.

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Faculty Supervisor:

Bradley Schmid

Student:

Partner:

Denison Mines Inc.

Discipline:

Engineering

Sector:

Mining

University:

University of Saskatchewan

Program:

Accelerate

Synergizing biophysics and AI to identify NASH therapeutics

Fatty liver disease (a.k.a. Non-alcoholic fatty liver disease (NAFLD)) and progressive liver fibrosis are a critical health concern across the world affecting as much as 25% of the world population and have become an enormous health concern leading to liver failure and hepatic carcinoma. There are no established drug regimens for these liver diseases. To develop much needed therapeutics, we will use a mouse model that recapitulates the exact human syndrome including all of the liver diseases. Our preliminary work using this mouse model has identified a key protein that is involved in both sugar and fat metabolism. Using molecular modelling techniques, we will rational design an inhibitor for this protein and test them afterwards. This drug will fulfill and very well recognized unmet need affecting many millions of people.

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Faculty Supervisor:

Mark Trifiro;Miltiadis Paliouras

Student:

Partner:

NASH Metabolics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

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