Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we will work with Nutrien Ag Solutions to devise and evaluate a breeding database and associated software tools to assist and accelerate their double haploid breeding program in canola. The results of this research will include an optimized database and optimized data workflows that are developed and evaluated through formal human-computer interaction research methods.

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Faculty Supervisor:

Ian Stavness;Debajyoti Mondal

Student:

Jarin Tasnim

Partner:

Nutrien Ag Solutions

Discipline:

Computer science

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Determining recreation and protection values of old growth forests on Vancouver Island

Old growth forests provide many values to society including recreation and the enjoyment of knowing these magnificent forests exist for wildlife and future generations. Ancient Forest Alliance has set out to better communicate the diverse values of intact old growth forests, so they are not undervalued and over-logged. To provide data that AFA needs, this study will survey Vancouver Island residents to determine the value they have for old growth protection and recreation in old growth forests. The survey will ask respondents to choose between alternate scenarios which have different levels of how much timber is harvested, how many recreational facilities exist, how much old growth forest is protected and how much that scenario might cost taxpayers. Researchers will analyze the survey results to estimate the value Vancouver Island residents have for recreation in, and protection of old growth forests on Vancouver Island.

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Faculty Supervisor:

Duncan Knowler

Student:

Colleen Dupont

Partner:

Ancient Forest Alliance

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Green Solvents for Isopropyl Alcohol Replacement

Due to the increased demand for isopropyl alcohol industrial clients are turning to replacements for industrial uses. Producing an alternative for isopropyl alcohol for specific industrial applications is now a sought-after target. Creating an environmentally friendly alternative is desired since volatile chemicals used in industrial applications are a major contributor to smog formation. To combat smog formation in North America, agencies such as the Environment and Climate Change (Canada) and the Environmental Protection Agency (United States) enforce limits on the types and amounts of chemicals used in industrial applications. Computational methods will be used to identify potential solvent blend replacements for isopropyl alcohol for specific industrial applications. Suitable solvent blends will then be produced and fully characterized as well as tested for efficacy. The ultimate objective is to produce an environmentally friendly replacement for isopropyl alcohol for specific industrial applications.

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Faculty Supervisor:

Laurel L Schafer

Student:

Abigail Thompson

Partner:

TBF Environmental Technology Inc

Discipline:

Chemistry

Sector:

University:

University of British Columbia

Program:

Accelerate

Change point detection algorithms to assess pilot’s reactions to malfunctions

In this project the intern will work with time series data containing different parameters from a flight simulator. The intern will take these data and assess different learning as well as change point detection algorithms that can identify and segment pilot reactions to malfunctions and assign these reactions a proficiency metric. One of the possible approaches would be to assess the use of change point detection algorithms using a data driven approach. This will allow the partner organization to understand important segments of the flight data where large changes have taken place. These large changes will correspond to important pilot decisions of changing different flight parameters during different failures and would allow the partner organization to understand the appropriateness of such sequence of actions from data.

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Faculty Supervisor:

Blake Richards

Student:

Raihan Seraj

Partner:

Paladin AI Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Development of An Outsourcing Accelerator Platform for the Biopharma & Pharma Industries

The proposed research project to be undertaken is to develop a fully functional online RFP management application that is secure, intuitive, and is well positioned for acceptance and adoption by the biopharma industry, with focus on the Innovator (sponsor) and Provider segments. The expected benefit to the partner organization is the ability to provide a widely available online RFP management tool to the biopharma industry that accelerates outsourcing decision making, ultimately expediting medicines to patients compared to the traditional manual RFP processes.

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Faculty Supervisor:

Ginger Grant;Adam Thomas

Student:

Alyssa Galinato;Mihoko Schick;Sam Bebenek;Faith McQueen;Michallia Marks

Partner:

BrevisRefero Corporation

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Humber College

Program:

Accelerate

Quini Machine Learning Wine Recommendation Engine

Quini is developing a revolutionary system that allows wine producers to predict with a high level of accuracy how much acceptance and sales they will be able to generate from a wine product, over time, in which major cities and selling to whom as the primary buyers. The system will also give consumers exacting wine recommendations that suit their personal taste and that are likey to be available for purchase in their area.

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Faculty Supervisor:

Jiguo Cao

Student:

Boyi Hu

Partner:

Quini

Discipline:

Statistics / Actuarial sciences

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Advancing Climate-Ready Fisheries in BC and Canada

Climate change is rearranging the distribution of ocean life and threatening the viability of world-wild fisheries that people depend on for food, income and well-being. While ample evidence shows the impacts of climate change on fisheries, British Columbia (BC) and Canada are lagging behind in developing the science and solutions needed to help west coast fisheries be more responsive and resilient. This Mitacs intern will produce a summary of the results from a survey that assesses commercial fisher’s perspectives on the vulnerability of BC fisheries, along with a public report that presents an overview of the state of knowledge regarding the vulnerability of BC fisheries and best practices being applied elsewhere to make fisheries more adaptive. These outcomes will provide a key knowledge foundation and help Nature United engage industry, organizations, researchers, and government partners to develop future actions and initiatives that build more ‘climate-ready’ and adaptive BC fisheries

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Faculty Supervisor:

Natalie Ban

Student:

Sarah Harper

Partner:

Nature United (ON)

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Learning from extreme weather: Developing the capacity of social science researchers to conduct quick response research

Quick Response Research has long allowed social, behavioural and economic science researchers to collect and integrate valuable first-response data in time-sensitive environments. This type of research is conducted during or shortly after an extreme event and allows social science researchers to collect perishable data that wouldn’t be accessible otherwise. While quick response research has been used as an approach for collecting data for decades, important gaps remain in educating and training researchers in this particular form of research. Despite the significant number of studies that have been conducted over the years, the field lacks a comprehensive repository of quick response research guidance. The Institute for Catastrophic Loss Reduction at Western University in partnership with the Natural Hazards Center at the University of Colorado is now looking to work with a Post-Doctoral Fellow to further develop the research guidance on Quick Response Research available to Canadian Social Science researchers.

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Faculty Supervisor:

Gordon McBean

Student:

Esther Elizabeth Lambert

Partner:

Institute for Catastrophic Loss Reduction

Discipline:

Geography / Geology / Earth science

Sector:

Finance, insurance and business

University:

Western University

Program:

Accelerate

Optimization of an Industrial-scale Water Atomization Process to Produce High-Grade Metal Powders

Powder Metallurgy (PM) and Metal Additive Manufacturing (Metal AM) are sets of processes to produce net-shape or near-net-shape metal parts from metal powders, and so they offer material and energy saving. These processes, however, require powders of strict specifications like particle size distribution and shape. Water Atomization (WA) of a molten metal is a cost-effective approach to producing metal powders. With the advances in PM and Metal AM, water atomization also needs to be enhanced to produce higher quality powders. In this project, we investigate routes to optimize the design and operating parameters of an industrial WA process, to produce high-grade and controlled powders. The study includes computer simulations and lab-scale experiments (at the University of Toronto, ON), and plant trials (at Rio Tinto Metal Powders, QC). The expected outcome is to control the size and shape of water atomized powders; thus, to benefit Rio Tinto Metal Powders by expanding their market.

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Faculty Supervisor:

Kinnor Chattopadhyay;Markus Bussmann;Yu Zou

Student:

Ali Asgarian

Partner:

Rio Tinto Fer et Titane

Discipline:

Engineering

Sector:

University:

University of Toronto

Program:

Accelerate

Well-being in Nova Scotia’s communities: Applying a community well-being framework to track provincial health

Engage Nova Scotia currently holds the most information on Canadian’s well-being in one place, both in terms of number of Canadians and the content of the information. Drawing from the Canadian Index of Well-Being framework, we are able to compare well-being between communities in Nova Scotia to better understand what helps or hinders a high quality of life. This project will focus on analyzing the well-being data and developing infrastructure within the organization to build on this research. Ultimately, this project aims to explore quality of life in Nova Scotia and how this can be increased at the local and provincial level.

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Faculty Supervisor:

Sean MacKinnon

Student:

Taylor Hill

Partner:

Engage Nova Scotia

Discipline:

Psychology

Sector:

Health care and social assistance

University:

Dalhousie University

Program:

Accelerate

A Deep Risk-Sensitive Reinforcement Learning Framework for Portfolio Management

In Finance, the use of Automated Trading Systems (ATS) on markets is growing every year and the trades generated by an algorithm now account for the majority of orders that arrive at stock exchanges. Historically, these systems were based on advanced statistical methods and signal processing able to extract trading signals from financial data. However, the recent successes of Machine Learning have attracted the interest of the financial community. The Reinforcement Learning method is a subcategory of machine learning and has been broadly applied by investors and researchers in building strategic asset allocation (Sequential) Decision Making systems. In this work, we explore performances of Risk-Sensitive Reinforcement Learning agents on the sequential and volatile data of financial markets by using concepts from Operations Research, Machine Learning and Finance to make the learning process of the agent immunized from adversarial impact of uncertainty.

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Faculty Supervisor:

Jonathan Patrick;Jonathan Yumeng Li

Student:

Mohammad Amin Masoudi

Partner:

Brane Capital

Discipline:

Other

Sector:

Finance, insurance and business

University:

University of Ottawa

Program:

Accelerate

Feasibility Study for Indigenous Women’s Second-stage Housing in Canada

The partner organization, the National Aboriginal Circle Against Family Violence (NACAFV), is conducting a Feasibility Study for constructing on-reserve second-stage housing. A section of the Study is on the technical aspects of this type of housing which is for women who wish to leave their homes permanently because of domestic violence. The design of the housing unit emphasizes safety and security because an ex-partner or ex-spouse may be stalking a woman—since one of the most dangerous times for women living in domestic violence is when they are leaving. The work entails the different building codes and standards for each province/territory and how they are interpreted onreserve; designing several options of what single units could look like, the main floor layout with an office (it will be staffed 24/7) and a larger meeting space for compulsory programming/services; and, security features both inside and outside the building (e.g., security cameras, fencing, fire escapes).

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Faculty Supervisor:

Shirley Thompson;Shauna Mallory-Hill

Student:

Courtney Allary

Partner:

National Aboriginal Circle Against Family Violence

Discipline:

Architecture and design

Sector:

Construction and infrastructure

University:

University of Manitoba

Program:

Accelerate

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