Innovations 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

Back to Basics: A Sustainable Response to COVID-19

The recent COVID-19 pandemic has forced governments and communities revisit the conceptions of sustainability and resilience. While many of the businesses in the retail, food services, and tourism and hospitality sectors experienced a drastic drop in sales during the COVID-19 pandemic, online shopping and delivery sectors are dealing with a dramatic increase in sales and orders. Demand of local and sustainable goods are increasing as the disruption of the supply chain has impacted the accessibility and affordability of goods. In this Mitacs Accelerate internship, the UBC research team will partner with the Okanagan Lifestyle, a local business in Kelowna, examine the marketing benefits of the sustainable goods as well as to review marketing traction and interest in sustainable goods during the COVID-19 pandemic.

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Faculty Supervisor:

Eric Li

Student:

Ariele Parker

Partner:

Okanagan Lifestyle

Discipline:

Other

Sector:

Service industry

University:

Program:

Accelerate

Project Yellow Cricket: Fantasy hockey data analysis and pattern recognition

Officepools.com is a flagship product of GSL Group, acquired in 1999. The site is an online fantasy sports platform offering various sporting and entertainment events to choose from, such as football and golf, but primarily specializing in the National Hockey League (NHL).
Officepools.com has a userbase of around six hundred and fifty thousand people, with the majority of users being male aged 30 to 50 years and located in Canada. Yellow Cricket is a project that analyzes hockey data gathered from Officepools.com.
The project’s objectives are the following:
• Understand and analyze existing data and its outcome
• Analyze trends and data to predict players’ performance
• Predict hockey team’s placement in the standings at the end of season
• Understand how and where else within the business to use the analysis

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Faculty Supervisor:

Jiannan Wang

Student:

Shiying Tu

Partner:

GSL Holdings

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Going On-line with Cognitive Rehabilitation: Testing and Implementing Web-based Goal Management Training at Clinical and Commercial Levels – Year two

Goal Management Training® (GMT) is a Baycrest cognitive intervention that has been studied extensively, applied clinically, and manualized into kits for clinicians that have been commercially available since 2012. GMT targets executive functions, a collection of higher-level abilities involved in planning, organization, strategy, and inhibition. Executive impairment can be seen in normal aging as well as in numerous neurological conditions, including dementia and traumatic brain injury (TBI). GMT is the gold-standard treatment for executive impairment worldwide. As part of further commercialization and dissemination efforts, the in-person GMT protocol has recently been translated into a web-based platform.
This project will test online GMT in groups of individuals experiencing executive impairment, including healthy aging and subjective cognitive impairment, and TBI. GMT will be deployed in real-world clinical practice to further refine the implementation protocols. We will also test the program’s commercial viability, which will be required for broad dissemination, and develop a plan to explore long-term health system-level impacts of this innovation/solution.
There is currently no widely accepted and researched online resource for people with executive impairment. The proposed research will leverage expertise of Cogniciti to fill that gap, reinforcing a partnership to provide Cogniciti clients with evidence-based cognitive training.

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Faculty Supervisor:

Brian Levine

Student:

Lynn Zhu

Partner:

Cogniciti

Discipline:

Other

Sector:

University:

University of Toronto

Program:

Elevate

Noninvasive blood glucose monitoring system by midinfrared spectroscopy

More than 400 million people are suffering from diabetes mellitus in the present world. Till date, there is no cure for diabetes; however, it can be controlled by regulating the sugar intake in blood. Hence, diabetic patients need to monitor their blood sugar level regularly for few times a day. The conventional techniques are invasive in nature and require drawing out blood by pricking fingertips which is a painful process and possess a risk of infection. In this proposed research, an optical glucose sensor will be developed where the blood glucose concentration can be measured noninvasively. A shoe-box size device prototype will be designed and implemented. The partner organization will be a part of any journal paper, conference paper, and patent as project deliverables. In addition, the possibility of commercialization of this product will be a future opportunity to reach biosensor market.

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Faculty Supervisor:

Dayan Ban

Student:

Shazzad Rassel;Chao Xu

Partner:

Smart GeoMonitoring Technologies Ltd

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

The use of an affect-based music selection algorithm and embedded auditory beat stimulation as an intervention for high-anxiety populations

Chronic anxiety is a growing psychological disorder worldwide and in Canada. Even when anxiety presents at pre-clinical levels, it can be disabling. Anti-anxiety drugs have many adverse side-effects. In some cases, listening to music decreases anxiety more effectively than anti-anxiety drugs. Furthermore, some evidence suggests that curating a music selection as a function of the listener’s current affective state allows for more effective and sustained changes in mood. Auditory beat stimulation (ABS) may also reduce anxiety and promote relaxation. This research will examine the contexts within which and the extent to which an affect-based music recommendation system in combination with ABS reduces anxiety symptom severity. Electroencephalographic (EEG) frequency-domain measures, galvanic skin response (GSR), Heart Rate Variability (HRV), anxiety measures, and emotional state measures will be used. This research is being conducted with the aim of further developing and validating this noninvasive audio-based anxiety treatment modality.

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Faculty Supervisor:

Frank Russo

Student:

Adiel Mallik

Partner:

LUCID

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Athletes Embodied: Developing and disseminating a sport-specific body image program

The goal of the project is to develop relationships between academic and non-academic partners to gain insight and knowledge that can be used to inform the Athletes Embodied program. This initial partnership is the first step in establishing an effective and feasible program to reduce body image concerns in girls’ sport, enhance sport experiences, and contribute to retaining female adolescents in sport. The Canadian Eating Disorder Strategy, informed by NEDIC, has identified sport as a significant area of concern among female body image and disordered eating. Athletes Embodied will aim to address the needs of this population and enhance the sport experience among female adolescents

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Faculty Supervisor:

Eva Pila

Student:

Georgia Ens;Kelsey Sick

Partner:

National Eating Disorder Information Center

Discipline:

Kinesiology

Sector:

Health care and social assistance

University:

Western University

Program:

Accelerate

Automation of the manufacturing process design

Automation is generally perceived as the application of physical robots to replace the human workforce to complete a specific task. However, automation can also appear in the design process where it replaces the repetitive computations and lookups by a human. In the latter case, automation reduces the risk of human error and highly increases the transparency and efficiency of the design process. The present work is focused on the automation of the manufacturing process of metallic powders. The goal is to utilize the historical data of the company to develop a customized predictive model that provides manufacturing recipes for future products.

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Faculty Supervisor:

Daan Maijer

Student:

Mohammad Mohseni

Partner:

Pacific Particulate Materials

Discipline:

Engineering

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Spatial and Temporal Patterns of Habitat use of Green Anaconda (Eunectes murinus) in Amazonian Streams Using Remotely Sensed Imaging and Radio Telemetry

This project will be studying the relationship of Green Anacondas with their surroundings by describing the ways Anacondas use their habitats and how these behaviours change throughout the year. We will be using a technology called “radio telemetry” to follow Anacondas in order to observe them and collect information. Drone and Satellite imagery will be used to describe the Anacondas territories and habitats. Anacondas are important “top” predators of rainforest ecosystems and are also valuable in conservation land management through eco-tourism. The Alliance for Research and Conservation in the Amazon will benefit from this work because they will have a better understanding of the predator-prey relationships on their land, and will use the project to increase interest in visitations to the site, which ultimately helps manage and defend the pristine rainforest the organization is protecting.

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Faculty Supervisor:

Trevor Avery;Tom Herman;David Colville

Student:

Patrick Champagne

Partner:

Esri Canada

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

A Novel Methodology for Online Measurement of Fly Ash Degradation of Amine Solutions

Solvent degradation in carbon capture plants due to the influence of fly ash is very costly and requires frequent replacement of the solvent used. Solvent replacement cost is the main hurdle to the deployment of Carbon Capture and Sequestration technologies. The proposed online analytical method would be a great tool in managing daily operations of the plant. It can also be used in troubleshooting operations, and in deciding on the optimum time for plant maintenance. Information about fly ash’s effect on solvent degradation is very scarce and no data is available from actual plant operations. If successful, this technique will allow for the collection of data and correlate them to other plan operational issues. This study will provide valuable information necessary for operating cost optimization of the flue gas cleanup, including further particulate removal versus the cost of amine management.

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Faculty Supervisor:

Amr Henni

Student:

Devjyoti Nath;Firuz Philip

Partner:

The International CCS Knowledge Centre

Discipline:

Engineering

Sector:

University:

University of Regina

Program:

Accelerate

Applying Machine Learning to Develop Meaningful Rail Condition Indices

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. The algorithms will process real-world rail corrugation, noise, and vibration data collected from three rail transit properties in North America. The long-term research goal is the development of a generic and transferrable rail corrugation index, which will help rail maintenance practitioners determine when rail corrugation is likely to generate unacceptable noise and vibration. Consequently, the research directly supports rail and vehicle asset management programs, helps reduce noise irritation for passengers and citizens in the vicinity of rail transit lines, and improves ride quality.

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Faculty Supervisor:

Ian Jeffrey;Jonathan Regehr

Student:

Sanjay Abraham;Julian Carneiro

Partner:

Advanced Rail Management

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

A Framework for Enhancing Fire Safety Engineering Education in Quebec

Our proposal continues our SFPE International research project on Anthropometric Data and Movement Speeds but directs the project’s goal to enhancing fire engineering resource development and research dissemination in Quebec. Our proposal is multi-staged. We primarily focus on the finalization of the compilation of existing emergency movement data which can be used by various engineering consultancies conducting ASET / RSET analyses or alternative solutions for egress management. Our movement data would come from our own collected research recorded before 2019 (which broadly includes pedestrian behavior in emergency and non-emergency circulation studies in stadiums, cultural centers, train stations, etc., with special considerations for accessibility, upwards/downwards movement, etc.). Our secondary research focus involves the development, preparation and conduction of a module series of Human Behavior in Fire for the first time in North America conducted in French, to ensure Canadian accessibility. As well as the enhancement of other tailored education resources that can be used by all Canadian practitioners. These module series will utilize the analyzed data taken from these previously recorded footages.

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Faculty Supervisor:

John Gales

Student:

Chloe Jeanneret;Georgette Harun

Partner:

SFPE Conseil St-Laurent

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

York University

Program:

Accelerate

Monitoring the sustainability of agricultural system for Ontario’s Greenbelt

This project aims at developing information and knowledge that will promote public and policy support for the long-term sustainability of the agricultural system surrounding the greenbelt. Based on a preliminary research led by the Friends of Greenbelt Foundation, this research will develop a monitoring framework for the viability and protection of the agricultural system in the greenbelt and assess the trends of agricultural viability and protection in Greenbelt during the past 15 years. It also looks into the urbanization trend and farmland loss approaching the greenbelt and aims at investigating its impact on the sustainability of the greenbelt. This project will be of interest to the policy makers, municipal leader and communities who are interested in the sustainable development of the greenbelt and the Greater Golden Horseshoe. This research project will directly benefit the greenbelt foundation’s future work by creating a framework which could guide through the further monitoring projects, and provide an in-depth review on the status of the greenbelt during the past 15 years.

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Faculty Supervisor:

Wayne Caldwell

Student:

Xiaoyuan Wan

Partner:

Friends of the Greenbelt Foundation

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate