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

Statistical perspectives on the use of pharmacovigilance data and electronic health records to verify predicted chemical hazards of drugs from in-vitro toxicological data

The liver is considered as one of the organs that are highly susceptible to drug-induced toxicity, leading to a diverse set of responses such as acute liver injuries, black-box warnings, and possible market withdrawal of medications in spite of having first appeared non-toxic and effective in animal and clinical studies. Over the last few decades, drug safety assessment have been limited to animal studies and human clinical trials. These types of drug safety studies have suffered from low rates of predicting drug-induced toxicities with animal/human concordance less than 60% in major human organs. Screening electronic health records (EHR) and spontaneous reporting systems (SRS) for adverse drug reactions has gained a lot of attention recently. This project will explore a novel approach to use EHR from large population hospital data and SRS as principal human data to verify drug safety data from in-vitro toxicology studies. The main focus will be on assessing how much these laboratory data can truly predict drug induced hepatic toxicity in humans, while examining two case study drugs: Rosiglitazone and Troglitazone.

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Faculty Supervisor:

Patrick Farrell;Paul Villeneuve

Student:

Abdallah Alami

Partner:

Risk Sciences International

Discipline:

Other

Sector:

University:

Carleton University

Program:

Accelerate

Integration of multiple modalities and radar modules for vitals monitoring

This project will seek to use novel radar technology in addition to computer vision to remotely detect vital signs (Heart Rate, Respiratory Rate, Movement and Temperature) of multiple patients. This will help lead to decreased morbidity of patients in areas such as waiting rooms, hospital or police seclusion rooms and other unique environments such as refugee camps, safe injection sites or pandemic screening facilities.

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Faculty Supervisor:

Guy Dumont

Student:

Abdelrahman Elhosary

Partner:

Aberrant Designs

Discipline:

Engineering - biomedical

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Automatic Mapping of Residential Rooftops using High-Resolution Thermal Imagery and Machine Learning

MyHEAT Inc. (industry partner) provides on-line tools/services to reduce urban waste energy. Currently, the company relies on sourced municipal, private, or publicly available GIS roof polygons which it combines with its proprietary high-resolution (H-Res) airborne thermal infrared (TIR) imagery to generate personalized rooftop heat-loss maps/metrics. Unfortunately, these GIS polygons are often incomplete, inaccurate and out-of-date. To mitigate these issues, this project proposes two main goals: (1) test and optimize two leading-edge Convolutional Neural Network (CNN) methods (SegNet and U-Net) for automatic and accurate rooftop delineation from MyHEAT’s existing TIR imagery, and (2) define the optimal TIR spatial resolution for CNN based rooftop delineation. The key benefits to MyHEAT include: (i) reduced data acquisition/processing costs as their optimal resolution TIR imagery will be the only data source required for heat-loss metrics, and (ii) speeding up their entire analytical pipe-line, as there will be no need to acquire, correct, or negotiate for sourced GIS roof data.

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Faculty Supervisor:

Geoffrey Hay;John Yackel;David Goldblum

Student:

Salar Ghaffarian

Partner:

MyHEAT

Discipline:

Geography / Geology / Earth science

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

From bedside to research bench: Informing the development of an m-health intervention to predict illness risk

To improve the health and economy of Canada, Achu Health has developed an application based on a machine learning algorithm that uses data collected from a smartwatch to predict illness in individuals using the application. Achu Health aims to assess the scientific rigour of its application to ensure that the evaluation of the effectiveness can take place. Therefore, the partnership with the POP-PA laboratory at the University of British Columbia will help find and address any issues with the current stage of the application. This partnership will allow an application to be assessed and revamped while providing the basis for scientific evaluation. This will allow the application to better serve Canadians in terms of health and work productivity.

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Faculty Supervisor:

Guy Faulkner

Student:

Matthew Fagan

Partner:

Achu Health

Discipline:

Kinesiology

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Adapting Retail Practices to the Post-Pandemic

We will work with Alimentation Couche-Tard (ACT) to adapt retail practices to the post-pandemic world. Consumer behaviour has dramatically evolved due to the recent COVID-19 pandemic. Consumers are spending less time shopping and they aim to minimize physical contact. This shift in purchasing behaviour will generate unique data that may allow us to develop new ways to predict consumer demand. Looking at data before, during, and after the pandemic, we will investigate how to properly adapt some of the existing demand-forecasting methods and tailor these to the new, post-pandemic landscape. We aim to collect detailed customer data through our McGill Retail Innovation Lab (in partnership with ACT). This will allow us to analyze various customer shopping behaviours (e.g. where in the store they spend more time, which products catch their attention), and use these features to develop new demand forecasting models and evaluate their accuracy. We will also explore how these features can give rise to different customer profiles that can be used for personalization purposes (e.g. customized marketing and product offerings). Our hope is to identify key features related to purchasing behaviour that can help retailers better predict customer demand in the current uncertain times.

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Faculty Supervisor:

James Clark;Maxime Cohen

Student:

Niloofar Tarighat

Partner:

Couche-Tard

Discipline:

Engineering - computer / electrical

Sector:

Service industry

University:

McGill University

Program:

Accelerate

Antioxidants render silicone elastomer surfaces antiviral

Viruses are susceptible to antioxidants. COVID-19, to which the grant is directed, is also affected by surface active species, like soap. These two vulnerabilities of the virus will be combined to create silicone coatings that will render relevant surfaces anti-viral (e.g., doorknobs, facemasks and shields). Antioxidants will be modified with entities that allow them to be dispersed in silicone elastomers, from which they can be released, or to which they are chemically tethered. In either case, the surface active and antioxidant active ingredients will present at the interface, leading to COVID-19 death on contact. The research project involves small molecule and polymer synthesis, physical characterization, and biological assessment using, initially, a safe virus bacteriophage as a surrogate for COVID-19. Our partner, Siltech, is a world leader in surface active silicones. They will scale up and test promising surface formulations. 1 PDF will be involved in the project.

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Faculty Supervisor:

Michael Brook

Student:

Akop Yepremyen

Partner:

Siltech

Discipline:

Biochemistry / Molecular biology

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Evaluating the Impact of Cannabis Legalization in Canada on Risk-Taking Behaviours

The proposed research will focus on changes in cannabis use patterns and sources of supply following cannabis legalization, and on how these changes produce and/or reduce cannabis-related harm. The research will involve statistical analyses of Statistic Canada’s National Cannabis Survey (NCS). Some key areas of consideration will be: cannabis-impaired driving, cannabis dependence, and youth cannabis use. The partner organization (the Canadian Centre on Substance Use and Addiction [CCSA]) will benefit by having a researcher with expertise in the substance use and addiction field who can conduct analyses on cannabis trends and patterns before and after legalization, and who can write reports for the organization and update the organization’s resources based on these findings. Some examples of resources I will update include: the Cannabis Drug Summary (see, for example, CCSA 2018) and the Clearing the Smoke on Cannabis series (see, for example, Beirness and Porath 2017). The research findings will also be used by CCSA knowledge brokers to create resources such as infographics to help disseminate the findings and by policy analysts to incorporate into policy briefs with the goal of influencing future program and policy development and implementation.

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Faculty Supervisor:

David Walters

Student:

Nicholas Cristiano

Partner:

Canadian Centre on Substance Abuse

Discipline:

Anthropology

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Elevate

Virtual Energy Analysts & Transitioning Commercial Buildings to Net Zero

Owners of large commercial and institutional buildings are looking for ways to cut operating costs, reduce emissions, and green their operations. To make this process quicker, more responsive, and lower-cost, Edge Energy Technologies is developing a Virtual Energy Analyst Service. The goal of the service is to use real-time data to inform analysis of building energy consumption patterns by a remote analyst, to support building owners in reaching a net zero energy position for their buildings. The research question we are addressing in this project is the question of virtual service delivery: How can we provide real-time, valuable and actionable advice to building owners and managers about their energy consumption in an entirely virtual model, without requiring a staff member or consultant to visit the properties? Moving services to a virtual mode was already a goal for Edge Energy prior to the 2020 COVID-19 pandemic, which has served to emphasize the value of offering a virtual service. To accomplish this, Edge Energy and NSCC will engage Mitacs interns to research, develop, and test virtual energy services with the guidance of an experienced energy manager and in collaboration with real building managers and owners who will test the service in operation.

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Faculty Supervisor:

Wayne Groszko

Student:

Bahram Farrokhzad

Partner:

Edge Energy

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Nova Scotia Community College

Program:

Accelerate

Structural and Thermal Analysis of an Insulated EPP Wall Panel System Design

Factory-built structural insulated panels are used for off-site building construction to minimize the labour needed for construction framing, which aims to save construction time and improve the quality of the installation. The panels, instead of using wood or steel framing, are the structural support for walls. Although the insulated panels provide structure, additional reinforcements are needed in order for the panels to be used on a multi-storey residential building. Using numerical simulations, this research investigates the predicted locations where the addition of such reinforcements would promote excessive heat loss through the walls which leads to increased energy consumption for the host building. The structural design of the panels would then be revised in the aim of minimizing heat loss. The partner organization is focused on developing energy efficient construction products and the outcomes of this research would provide insight to further improve and develop the proposed insulated panels in consideration of sustainability and energy efficiency.

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Faculty Supervisor:

Zaiyi Liao

Student:

Claire Tam

Partner:

Blue Valley Building Corporation

Discipline:

Architecture and design

Sector:

Construction and infrastructure

University:

Ryerson University

Program:

Accelerate

New Brunswick’s food security potential in CEA horticulture

New Brunswick’s (NB) food security came under scrutiny in light of supply chain disruptions related to the COVID-19 pandemic. NB relies much more heavily on diverse agrifood imports than neighbouring regions. This work will consist of an in-depth analysis of controlled environment agriculture (CEA) potential in the region. The work addresses food security, cost of production, technical and regulatory considerations, and feasibility of CEA expansion through a NB lense.

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Faculty Supervisor:

Sylvain Charlebois

Student:

Shannon Faires

Partner:

BioNB

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Failure analysis on X-750 CANDU spacer material using bulk mechanical test and ion-irradiation – Year two

The current project will focus on understanding the behavior of one of the most important CANDU reactor components when it is subjected to the reactor environment. This study will develop a fundamental understanding of the X-750 material’s behavior resulting in innovative technologies that benefit the nuclear industry in Canada. In the short to medium term the work will support the life management and refurbishment of CANDU nuclear plants, assisting CANDU owners to protect their multi-billion dollar investment and sustain the provision of economical electrical energy for the benefit of the Canadian consumer. In the medium to long term these technologies will support the development of improved reactor components, for improved reactor designs. This will help to assure future CANDU sales domestically and abroad and support the ongoing Canadian nuclear industry.

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Faculty Supervisor:

Zhongwen Yao;Mark Richard Daymond

Student:

Pooyan Changizian

Partner:

Kinectrics Inc

Discipline:

Engineering - mechanical

Sector:

University:

Queen's University

Program:

Elevate

Embedding Project

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together a global network of business sustainability change agents and harness their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience in both practice and research, while learning from leaders in the field. The intern will conduct in-depth field and academic research and develop a series of business case studies and other educational and practitioner-oriented tools on cooperative business models. The partner organization will gain access to detailed content on the many variables that contribute to, or undermine, a successful and sustainable cooperative enterprise. This information will contribute to the organization’s capacity to support new co-op development and growth.

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Faculty Supervisor:

Stephanie Bertels

Student:

Shikhank Sharma

Partner:

VanCity

Discipline:

Other

Sector:

Finance, insurance and business

University:

Simon Fraser University

Program:

Accelerate

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