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

Research on Optimal Interaction Engagement Strategies between the “The Thingery” Community Sharing Platform and Its Users with a Focus on Mobile Development

The Thingery Sharing Inc. is the logistics provider and parent organization of community lending libraries known as Thingeries located throughout the Lower Mainland of BC. Prior social impact research was conducted to identify and understand the impact that a Thingery has on the social connectivity and ecological footprint of its members for ongoing analysis and planning. The focus of this project is to conduct extensive research into how members can optimally interact with The Thingery and create a detailed user flow analysis for their mobile application development.

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Faculty Supervisor:

David Fracchia

Student:

Luisa Martinez Riano

Partner:

The Thingery

Discipline:

Journalism / Media studies and communication

Sector:

Administrative and support, waste management and remediation services

University:

Simon Fraser University

Program:

Accelerate

Recovery of culturally important forest plant communities after wildfire in interior British Columbia

In collaboration with the Nadleh Whut’en and Stellat’en First Nations and SERNbc, researchers from university of Northern British Columbia will look at the response of vegetation communities to fire disturbance in the Northern interior of BC. We hope to determine if burn severity alters expected recovery rates and richness of vegetation. We hope to accurately document plant stress in three plants of cultural importance, and note if changes in soils affect plant health and ability to regenerate for food and medicinal use. We will provide recommendations for what will be required to move forward with remediation of the burned land, including information on how soils may need to be tended, which plants and stores of seed are most highly impacted, and predict how plant communities in the burned area will recover.

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Faculty Supervisor:

Lisa Wood

Student:

Stephanie Wilford

Partner:

Society for Ecosystem Restoration in Northern British Columbia

Discipline:

Other

Sector:

Agriculture

University:

University of Northern British Columbia

Program:

Accelerate

Development of a serological test for early diagnosis and monitoring of cancer

Cancer is one of the leading causes of death worldwide. In Canada, cancer accounts for 30% of all deaths, and half of all Canadians will develop cancer in their lifetime. Many cancers can be prevented or controlled through early detection, but the availability of such tests is scarce and a reliable general biomarker for different types of cancers has not been yet discovered. Moreover, cancer survivors are at greater risk of developing a second cancer, and affordable and safe monitoring for the rest of their lives is not available. We propose the development of a serological test for early diagnosis of cancer based on the activity of an enzyme that is upregulated in cancer tissues. This enzyme is able to modify a drug approved by the FDA termed amantadine, which can be measured in urine. We also propose to validate the performance of the kit in clinical samples of patients with lung cancer. Moreover, through our network of collaborators, we expect to distribute the methodology in different points of care in Canada and abroad (USA and Bangladesh).
This project is innovative because it uses inexpensive antibodies produced in bacteria against the modified amantadine detected in urine.

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Faculty Supervisor:

Horacio Bach

Student:

Rim Alyeldin Hassan Noureldin Aly

Partner:

BioMark Technologies Inc

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Condemnation to Collaboration: An Examination of Relationships between Canadian Governments and the Cannabis Sector

Rural communities and regions throughout Canada struggle with economic restructuring. Influences of globalization and technological advancement contribute to the continually shifting economic reality confronting rural communities. This research focuses on understanding the economic implications of changes in federal policies related to cannabis legalization to rural regions, specifically the Kootenay Region of British Columbia. Through discussions with key stakeholders in the cannabis industry, this research will enhance our understanding of the opportunities and challenges associated with the recent legalization. With better understanding, businesses and community serving organizations can better plan for economic implications emerging from policy change, such as influencing local and regional economic strategic plans.

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Faculty Supervisor:

Ryan Gibson

Student:

Tracey Harvey

Partner:

Community Futures Central Kootenay

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Implementation of a validated home tele-rehabilitation intervention for geriatric patients: perspectives of stakeholders

Geriatric rehabilitation programs are effective for restoring and improving the functional independence and quality of life. Nevertheless, the aim of the therapy is to return home and once it is safe, based on the condition of the patient and social environment, patients are encouraged to be discharged home. Unfortunately, this does not mean that these patients are fully rehabilitated and have reached their rehabilitation potential. Besides, leaving the geriatric rehabilitation centre and not being equipped in order to continue with the rehabilitation plan influences the rehabilitation process negatively. In this context, tele-rehabilitation has been identified as a promising tool in the rehabilitation of older adults. A promising and effective tele-rehabilitation is the Hipper intervention (HIPPER), a program validated for older individuals after hip fracture and currently implemented in the Netherlands. The purpose of this proposal is to explore the implementation of HIPPER in the current practice in Manitoba. Focus groups will be conducted with patients, family members, clinicians and managers in order to map of the barriers and facilitators to the implementation of the Hipper Intervention in Manitoba.

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Faculty Supervisor:

Mohamed-Amine Choukou

Student:

Amarzich Qadeer

Partner:

Deer Lodge Centre Foundation

Discipline:

Engineering

Sector:

Health care and social assistance

University:

University of Manitoba

Program:

Accelerate

Determining the carbon footprint and lifecycle assessment of magnesium oxychloride cement building materials

The proposed research will involve studying the carbon footprint (i.e. the carbon emissions) involved in the preparation of magnesium oxychloride (MOC) cement materials. MOC cement has been proposed as a more environmentally friendly alternative to traditionally used Portland cement (PC), however many discrepancies arise as there is no work directly comparing their carbon footprints. In addition, the work will determine the lifecycle assessment of MOC cement and PC. The research will provide a comparison between MOC cement and PC which will provide a better understanding of the applications in which MOC can replace PC, allowing for a lower environmental impact material to be more widely used. This will directly benefit the partner organization, MgO Systems, as their current research department is developing sustainable and environmentally friendly made in Canada MOC cement formulations for use in the Canadian market and abroad.

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Faculty Supervisor:

Caroline Hachem-Vermette

Student:

Alireza Aslani

Partner:

MgO Systems

Discipline:

Architecture and design

Sector:

University:

University of Calgary

Program:

Accelerate

Durham Region District Energy Assessment and Feasibility Study

The objective of this study is to develop a district energy evaluation and plan for the Regional Municipality of Durham. This will be achieved by analyzing and assessing the current energy demand and response at the Region of Durham throughout all sectors, including commercial, institutional, industrial and residential sectors. There are numerous potential district energy nodes throughout the member municipalities within the region. Furthermore, the region houses two major nuclear power plants, which can be leveraged as potential energy sources for district energy. Various energy sources, systems and storage solutions can be integrated to achieve a reliable district energy system, including geothermal, solar, nuclear, cogeneration, multigeneration energy systems as well as thermal energy storage options. The study also seeks to review the benefits of District Energy Systems (DES) relative to conventional Business As Usual (BAU) design and offer energy node considerations of where and how DES may be effectively implemented. This study shall be viewed as Phase 1 of a multi-phase assignment.

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Faculty Supervisor:

Ibrahim Dincer

Student:

Azzam Abu-Rayash

Partner:

The Regional Municipality of Durham

Discipline:

Engineering

Sector:

University:

Ontario Tech University

Program:

Accelerate

Parking Utilization Assessment Using Deep Learning

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste of valuable real estate resources. Parking studies are generally conducted on foot using a combination of manual tallying or with ground level cameras used to collect imagery of ingress / egress traffic. These techniques are labor intensive and error prone. In this research, we aim to employ artificial intelligence techniques to automate and scale this process. We will use drones to capture aerial imagery of parking facilities, pre-process images, design a human intelligence task for annotation of the acquired images and develop a deep learning-based vehicle detection method to assess parking utilization across multiple observations.

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Faculty Supervisor:

Yalda Mohsenzadeh;Steven Beauchemin

Student:

John Taylor Jewell

Partner:

SkyDeploy

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Zero+ Fleet Energy Simulation Tool

In many cities, fleet operators are evaluating the potential environmental benefits of replacing gasoline-fuelled vehicles by alternative vehicles, particularly electric vehicles. In this process, reductions in energy consumption and greenhouse gas emissions can be achieved. In this project, the company HDR proposes to partner with the Transportation and Air Quality (TRAQ) research group at the University of Toronto to develop the HDR Zero+ fleet energy simulation tool. This tool uses data from Global Positioning Systems (GPS) for a set of vehicles associated with a fleet operator, and quantifies the reductions in energy consumption and greenhouse gas emissions associated with electrifying a portion of the fleet. The tool subsequently proposes a charging schedule that enables operators to fulfill their tours using electric vehicles while reducing greenhouse gas emissions from electricity generation.

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Faculty Supervisor:

Marianne Hatzopoulou;Daniel Posen

Student:

Marc Saleh;Junshi Xu;An Wang

Partner:

HDR Corporation

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Efficient edge inference benchmarking for AI-driven applications

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices and sensors connected to the Internet, and data generated from these cannot be transferred and processed in geographically distant cloud data centers without incurring delays. Currently we are bringing computation closer to the edge of the network near the data source using intelligent edge devices. However, the edge devices have significant constraints on energy use, size and cost; constraints which point back to a need for effective performance analysis, which in turn requires an effective benchmark. Several benchmarks exist in the literature for evaluating performance of AI applications in edge devices. Each of these benchmarks has made unique contributions. The benchmark will reflect standard practices to help the ecosystem to choose among hardware solutions depending on their power usage constraints and inference performance requirements for efficient edge AI deployments.

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Faculty Supervisor:

Jonathan Wu

Student:

Abdul Muntakim Rafi

Partner:

LEI Technology Canada

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

Assessing COVID-19 Impacts on Urban Travel and Activity Patterns Employing Cellphone Travel Data

COVID-19 impacts on travel are unprecedented, affecting virus-spread, transportation services delivery, and how people will eventually safely participate in economic, educational and social activities. These impacts vary substantially across neighbourhoods, often worsening existing inequities in Canadian cities. This project will accelerate research for deriving insights about COVID-19 from TELUS network location data. Specifically, it will develop new methods to use cellphone traces to measure, model, and evaluate our response to COVID-19’s disruption of daily activity/travel participation. The end product will be the largest mobility dataset ever created for use by Canadian transport researchers. This dataset, and associated modelling processes, will be a significant knowledge asset in Canada’s understanding of and response to the COVID-19 outbreak, and will be used to investigate COVID-19-related disruptions to travel and activity participation in the Greater Toronto Area. Special attention will be paid to the impacts on food accessibility, in-store shopping and online food deliveries.

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Faculty Supervisor:

Eric J Miller;Steven Farber;Michael Widener;Jue Wang

Student:

Gozde Ozonder;Alex Tabascio

Partner:

Telus

Discipline:

Engineering - civil

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Effectiveness of hypochlorous acid for eradicating coronavirus on hard surfaces

We are experiencing a health crisis in the form of a novel coronavirus – COVID-19. It has spread rapidly and overwhelmed many healthcare systems. Many health authorities and businesses have increased sanitization requirements including hospitals, nursing stations, long-term care facilities, shopping malls, grocery stores, and office towers. With this new solution we will be able to provide a product that can create more benefits and less harm to fight the pandemic. However, we need the support of a research institute like UBC for further testing to provide the product to general public as soon as we possible.

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Faculty Supervisor:

Horacio Bach

Student:

Isabel Tse

Partner:

CSN Pharma Inc

Discipline:

Medicine

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate