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

Moose responses to anthropogenic forest disturbance

Moose are an environmentally, economically, and culturally important game species. However, moose numbers have declined rapidly in the central portion of British Columbia. This decline could be related to widespread and rapid forest harvesting. We will study the impact of human-caused changes to forests on how moose select habitat and why they migrate. Monitoring moose numbers is also a critical part of managing their populations, especially given their current, rapid decline. Thus, we will compare three methods for estimating moose numbers. The bulk of this research will be conducted at the co-managed John Prince Research Forest (JPRF). One of the goals of the JPRF is to manage their land for some forest harvesting while maintaining a range of environmental and cultural values. This research will contribute to the JPRF’s knowledge of how forest harvesting impacts the distribution and behavior of moose, and it will provide information for effective and costefficient management of moose populations found across North America.

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Faculty Supervisor:

Chris Johnson

Student:

Lisa Koetke

Partner:

John Prince Research Forest

Discipline:

Environmental sciences

Sector:

University:

University of Northern British Columbia

Program:

Wahkohtowin Northeast Superior Guardian Program

Indigenous participation is integral to the advancement of community-led governance over natural resources development projects. Stemming from such undertakings is the need for effective and continuous environmental monitoring for mitigating impacts to traditional lands and waters. The research proposal is aimed at articulating community-identified values and objectives for the development of an effective and culturally appropriate Environmental Monitoring (EM) training program. The intent of the project is to contribute to the advancement of Indigenous practitioner presence in natural resources management and forestry. The project will include the design vocational skills training modules that are community-focused and community-led. The expected benefits of the project will include a contribution to the study of Indigenous land use and governance structures and the provision of expanded training options for Indigenous youth in resource management.

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Faculty Supervisor:

Ashley Thomson

Student:

Erin Knight

Partner:

Wahkohtowin Development General Partner Inc.

Discipline:

Resources and environmental management

Sector:

Professional, scientific and technical services

University:

Lakehead University

Program:

Accelerate

Incorporating fish movement and sensitive benthic habitat in the ecosystem approach to fishery management of Canada’s sablefish fishery

British Columbia’s sablefish fishery is among the most highly valuable fisheries in Canada. In the early 1990s, mainland inlets were closed to commercial fishing because young sablefish were thought to grow in these protected areas before moving to the offshore areas where the fishery operates; we will look at movement patterns of sablefish within BC to understand the net contribution of these inlet sablefish to the offshore fishery to aid fishery managers. Additionally, avoiding sablefish trap gear contact with vulnerable species, such as cold-water corals, is challenging because the locations of these species are generally unknown, although they do occur in areas where the sablefish fishery operates. We will create maps that show probable locations of these vulnerable species to help the fishery avoid these areas. Both understanding movement and vulnerable species locations could help to reduce ecological damage while maintaining yield of this important fishery.

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Faculty Supervisor:

Sean Cox

Student:

Brendan Aulthouse;Olivia Gemmell;Meghan Burton

Partner:

Wild Canadian Sablefish Ltd.

Discipline:

Environmental sciences

Sector:

Agriculture

University:

Simon Fraser University

Program:

Accelerate

Pattern Recognition in an Internet of Personal Health (IoPH) Platform

Providing meaningful health and wellness information is important in order to sustain an effective healthcare system in a society. In the last decade, manufacturers have launched a wide range of health monitoring devices. However, these devices provide mainly numbers, e.g. steps and heart beats, without reporting health conditions. Salu Design aims to transform a simple wearable device to a complete interactive personal health monitoring solution that deepens one’s understanding and engagement with individual health, by providing context for health data, answers to personal health questions and meaningful advice to improve conditions. The user is able to communicate with the Salu Design platform interactively. Communication data together with the accumulated back-end data will be processed and analyzed by the platform engine. The objective is to provide users not only numbers, but also the interpretations. The Salu Design Platform will start with its own simple to use and affordable wearable device. Eventually the platform will be available to other wearable devices. The long term goal is to provide health monitoring and solutions to clients internationally through smart wearables.

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Faculty Supervisor:

Irene Cheng

Student:

Md Jamil-Ur Rahman

Partner:

Salu Design Group

Discipline:

Computer science

Sector:

University:

University of Alberta

Program:

Accelerate

Consequence assessment of potential tailings storage facility failures within the Canadian context

Recent catastrophic tailings storage facility (TSF) failures have resulted in immense societal, environmental and economic losses. Currently, research on TSF risk is primarily focused on the technical reasons for failure or post-failure environmental damages. Furthermore, limited research explores the financial, environmental and social consequences of potential TSF failure within potential tailings inundation zones. This project works to quantify and communicate the potential consequences of Canadian tailings storage facility failures to institutional investors. There is a pressing and urgent need to develop mining project assessment tools to understand and communicate the consequences of potential TSF failures to people, infrastructure, and the environment. This research will provide Resourceful Paths with tools and clearer justification for mining companies to commit to safer choices for alternative tailings disposal strategies. Additionally, this project will equip mining investors and stakeholders with much-needed decision-making information to improve the management and mitigation of TSF risk and act to spread best practice across the sector.

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Faculty Supervisor:

Nadja Kunz

Student:

Sally Innis

Partner:

Resourceful Paths Consulting

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Rapid detection of Salmonella in fresh produce using a paper-based microfluidic device based on recombinase polymerase amplification and lateral flow immunoassay

Salmonella is one of the most common causes of foodborne illnesses and 50% of its recent outbreaks are associated with fresh produce. To protect the safety of fresh produce, rapid, cost-effective and easy-to-use detection methods are necessary for government laboratories and food industry to frequently monitor Salmonella level. The gold standard bacteriological culturing and polymerase chain reaction (PCR)-based methods are generally time-consuming, labor-intensive, and complicated. To avoid these drawbacks, a recombinase polymerase amplification (RPA) method amplifying DNA at a constant low temperature (i.e. 37°C) with a high sensitivity will be developed. To further simplify the analysis, a novel paper-based microfluidics device incorporating DNA extraction, DNA amplification and results visualization will be developed. With this paper-based microfluidic RPA device, the overall detection time of Salmonella can be <30 min and the cost of each test can be ~$1 CAD. Requiring no sophisticated instruments, this device can be used for in-field Salmonella detection.

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Faculty Supervisor:

Xiaonan Lu

Student:

Yunxuan Chen;Lixue Liu

Partner:

NTBIO Diagnostics

Discipline:

Food science

Sector:

University:

University of British Columbia

Program:

Accelerate

Applying Data Science and Machine Learning Techniques to Canadian Oil and Gas Extractions

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we propose to
1) develop a GHG quantification tool using data science techniques in an integrated development environment – Jupyter Notebook with Python programming language to support aggregated oil and gas operations for their regulatory reporting,
2) apply knowledge discovery in databases (KDD) process to in situ oil sands extraction to discover patterns of energy consumption, GHG emissions, and oil production using unsupervised machine learning techniques.
3) Analyze carbon costs to the oil and gas extraction.

View Full Project Description
Faculty Supervisor:

Ke Du

Student:

Minxing Si

Partner:

VL Energy

Discipline:

Engineering - mechanical

Sector:

Other

University:

University of Calgary

Program:

Accelerate

Part 2 (extension): Long-term evaluation of corticosteroid-releasing formulations to suppress implant device- related foreign body reactions and fibrosis

Implanted medical devices have dramatically improved the lives of millions of patients worldwide. However, in many cases, the body’s immune system rejects these devices and encapsulates the implant in fibrous scar tissue. This reaction is most detrimental to sensors for continuous monitoring and treatment of chronic conditions such as diabetes and those of the central nervous system. Device functionality is usually severely limited and risky additional surgeries for implant removal and reinsertion are required. Local delivery of corticosteroid drugs such as dexamethasone have been shown to suppress the immune response and extend device life. Nevertheless, restrictions on device size and requirements for extended drug presence (up to 1 month) have limited corticosteroid utility to date. The objective of the proposed project is to develop novel corticosteroid releasing technologies that can be processed in forms suitable for sensor applications, in particular for those used in continuous glucose monitors.

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Faculty Supervisor:

Boris Hinz

Student:

Pardis Pakshir

Partner:

Ripple Therapeutics

Discipline:

Engineering - biomedical

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Low-order Model of Supersonic Fluidic Oscillator for Superplastic Forming

The Superplastic Forming process involves gas injection from a variable pressure supply, to form a heated metallic sheet into a complex automotive body panel shape onto the surface of a die. The current process involves excessive forming times which allow residual stresses to relax and avoid cracking and tearing. Research shows that pressure pulsations of the gas supply increases allowable material strain rate, reducing required manufacturing time. Our research shows that a Supersonic Fluidic Oscillator, due to the absence of moving parts, is capable of reliably generating the required pressure fluctuations under the extremely high temperatures present. Design of these devices requires use of computationally expensive fluid dynamics solutions of the complex compressible flow which are prohibitive for use in industry. The objective is to develop a simplified mathematical model with suitable accuracy to allow the partner to quickly design these devices and become a world leader in this area.

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Faculty Supervisor:

Gary Rankin

Student:

Sichang Xu

Partner:

AEM Power Systems Inc

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Creating a machine learning model to predict activity in playgrounds across North America

Biba is a company that creates interactive experiences for families on playgrounds and provides data for playground owners. This research project explores how can we leverage third party data sources and machine learning to confidently determine how many people are in a playground at a given time and how long they spent there. This kind of information is critical for park and playground stakeholders, and if we can solve this problem, Biba would be the first company to be able to produce an industry metric of this kind. Using our own app data along with various third party sources we are looking for some data scientists to plan, preprocess and train machine learning models to begin making high-confidence predictions for communities. Interns on the product will be contributing to an effectively state-of-the-art data product for the parks and recreation space.

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Faculty Supervisor:

Fred Popowich

Student:

Anchal Jain;Abhishek Sundar Raman

Partner:

Biba

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Analysis of Business-to-Consumer (B2C) Text Conversations collected during a pandemic and the adaptation of TxtSquad’s Technology Platform for Community-based organizations and small businesses

Txt Squad’s mission is to help medium-to-large companies sell and service their products through text messaging which results in saved time, improved customer experience and increased sales. A company can manage their customer service communications with TxtSquad using a team-based approach with rich cell phone text functionality that connects them directly to customers, bypassing emails and telephone calls. In the Covid-19 pandemic, community-based outreach organizations need a way to effectively deliver outreach services with marginalized and vulnerable members of the community and small local retail businesses are looking to pivot their businesses to adapt to the new economy. This project focusses on investigating methods and the creation and implementation of a framework to adapt TxtSquad’s Technology Platform for Community-based organization outreach and small businesses.

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Faculty Supervisor:

Pranjal Patra

Student:

Michael Corcoran

Partner:

TxtSquad

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

College of the North Atlantic

Program:

Accelerate

SOTI SNAP Digital Signage

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. The goal of this project is to develop media scheduler widgets so that users can create playlists consisting of mixed media (videos, images, documents) and then deploy them at specific hours on certain days. Since one user may have multiple mobile devices and one mobile device may be controlled by multiple users, we should ensure all the devices have up-to-date media playlists, display and play back the content smoothly once the playlists are changed in one device. Additionally, all the process should not consume too much energy. The media scheduler widgets will help SOTI attract more clients and make users work more efficiently.

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Faculty Supervisor:

Yashar Ganjali

Student:

Sijie Han

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

University:

University of Toronto

Program:

Accelerate

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