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

Agricultural Anomaly Detection using Temporal Dynamics of Remote Sensing Data

This project is about using artificial intelligence to interpret agricultural remote sensing data. We will develop new means to integrate repeated imagery data of targeted agricultural fields to pinpoint agronomically significant anomalies (e.g., water or nutrient stress, crop pathology, weeds, etc.) and provide field managers easy to follow recommendations guiding development of the most cost effective plans to treat these anomalies.

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Faculty Supervisor:

Viacheslav Adamchuk

Student:

Md Saifuzzaman

Partner:

Horoma AI Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Modelling Potential Impacts of Sea-Level Rise on Fish Habitat Offsets

A computer model will be used to simulate the impacts of sea-level rise on a tidal wetland in the Fraser River that is yet to be constructed. This research will provide project stakeholders with a better understanding of how resilient the proposed tidal wetland may be, given different possible sea-level rise scenarios. Results will be used to develop an adaptive framework that will lay out a course of action to best maintain the tidal wetland given different future sea-level rise scenarios. The results will have important implications for tidal wetland enhancement and restoration projects in the Fraser River. The outcome of this project will increase the effectiveness of the design process in future tidal wetland stewardship initiatives.

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Faculty Supervisor:

Shawn Chartrand;Craig Orr

Student:

Kevin Hutchins

Partner:

First Nations Fisheries Legacy Fund

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Rapid deployment of AI-assisted COVID-19 detection for radiology

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing of a system to deploy AI technologies and algorithms using existing infrastructure within the hospital. Our proposed methodology uses existing hospital infrastructure while being able to take advantage of the AI models being developed to assist in COVID-19 diagnosis. For this purpose, we will develop advanced AI algorithms around COVID-19 detection for use with the system as well as X-ray image enhancing techniques that could potentially assist radiologists in making better decisions for diagnosis.

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Faculty Supervisor:

Ali Sadeghi-Naini

Student:

Seyed Ali Jalalifar

Partner:

Pleora Technologies

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

York University

Program:

Accelerate

Participator Cities. Every one. Every day: Toronto

Participatory Cities: Every One. Every Day: Toronto seeks to strengthen neighbourhood communities in Regent Park and Alexandra Park in Toronto. This research internship contributes to the project by developing a comprehensive understanding of what supports social cohesion in these neighbourhoods, and what hinders it. In addition, the Covid-19 pandemic has caused new problems for neighbourhoods, making it harder for people to come together as a community. This research internship will be conducting its research with these issues at the forefront to provide solutions to this difficult situation. Because Participatory Cities: Every One. Every Day: Toronto is about involving residents directly in creating more cohesion this internship will also involve residents directly in the research processes, so they can be part of the project to get to know their neighbourhoods.

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Faculty Supervisor:

David Murakami Wood

Student:

Thomas Linder

Partner:

Social Innovation Institute

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Queen's University

Program:

Accelerate

Development of a Product to Prevent Binding of SARS-COV-2 within the Respiratory Airway and Cardiovascular System

The SARS beta coronaviruses, SARS-CoV, which caused the SARS (Severe Acute Respiratory Syndrome) outbreak in 2003 and the new SARS-CoV-2, which causes COVID-19, bind to angiotensin converting enzyme 2 (ACE2) receptors in the lower respiratory tracts of infected patients to gain entry into the lungs. Viral pneumonia and potentially fatal respiratory failure may result in susceptible persons after 10-14 days. Our proposed product will bind to SARS-COV-2 and reduce the opportunity for it to enter the body. If the virus does enter the body, our product can also cross the lung membranes into the bloodstream and also bind to the virus, preventing it from attaching to ACE-2, thereby preventing replication. The intern(s) will examine the dynamics of blocking virus using respiratory and cardiovascular models. The expected benefit to the partner organization will be to obtain Intellectual Property, that can in turn be used to attract Venture Capital investors to provide further funding to guide this project through Clinical Trials.

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Faculty Supervisor:

Donald Miller;Vernon Dolinsky

Student:

Nur A Safa;Mateusz Tomczyk

Partner:

utR Biotech

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Development of Resources for a National COVID-19 Information Website for Families of Children with Neurodevelopmental Disabilities

This research project will both contribute to, and examine the impacts of, the Autism & Intellectual-Developmental Disabilities National Resource and Exchange Network (AIDE) COVID-19 website for children with neuro-developmental disability (NDD) and their families, including evaluation for continual quality improvement and determining impact. Directed by the Pacific Autism Family Network, AIDE is a wide-reaching initiative that is nationally and regionally focused in offering information and support to individuals with NDD and their families. This initiative will provide key information and support resources regarding the COVID-19 pandemic for families impacted by NDD. Beyond developing and curating evidence-informed information, the project will identify the experiences and impacts of the information, focusing on (i) outcomes, and (ii) what processes and resources foster outcomes. Mixed methods of evaluation include web analytics and qualitative data collection examining perceived impacts of the initiative.

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Faculty Supervisor:

David Nicholas

Student:

Wendy Mitchell;Rosslynn Zulla

Partner:

Pacific Autism Family Network

Discipline:

Epidemiology / Public health and policy

Sector:

Health care and social assistance

University:

University of Calgary

Program:

Accelerate

kitatipithitamak mithwayawin: Indigenous-Led Countermeasures to Coronavirus (COVID-19) and other Pandemics Then, Now, and Into the Future

The 2019 Novel Coronavirus (COVID-19) was first identified on December 31 2019 in Wuhan, China. As of May 23 2020, 5,403,979 COVID-19 cases have been confirmed in 213 countries and territories around the world with an attributed 343,975 deaths.Studies on H1N1 and other pandemics show that Indigenous communities in Canada suffered most from these diseases. Yet, many Indigenous communities and organizations also responded effectively. The outbreak of COVID-19 thus represents a critical moment. On one hand the same mistakes could be made, with similar impacts. On the other hand, there is an opportunity to do things differently in ways that are grounded in the priorities of Indigenous communities and organizations. The overall goal of this specific project is to document the impacts of and responses to COVID-19 on the part of First Nations and to explore how these vary over time and in space. The data that arise from this project will be made available to community health directors in “real time” and help ensure that they are appropriate and useful, in turn will play a critical role in helping communities respond to the threats associated with COVID-19 now and into the future.

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Faculty Supervisor:

Stephane McLachlan;Myrle Ballard

Student:

Shanna Lorenz;Becky Filopoulos;Asfia Gulrukh Kamal

Partner:

Integral Ecology Group

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Using Big Data to Chart Workplace Learning during COVID-19

In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how can it be optimized as the pandemic continues to evolve? To answer these questions, we will combine our expertise in the cognitive neuroscience of memory with mathematical modeling of big data to characterize the role of different learning strategies on uptake of COVID-19 health and safety information as well as company-specific information to help companies maintain operational resilience during the pandemic. We will amplify existing partnerships with Axonify, a leader in online training of frontline workers (e.g., grocers, taxi drivers) in over 150 countries, to determine the ideal combination of learning strategies and content to maximize employee learning and retention.

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Faculty Supervisor:

Shayna Rosenbaum

Student:

Julia G. Halilova

Partner:

Axonify

Discipline:

Psychology

Sector:

University:

York University

Program:

Accelerate

Improving protein-ligand binding models using multidimensional, mixed-confidence training data

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not reach clinics in time to mitigate the current patient surge, leaving drug repurposing as the most practical short-term solution. Most repurposing efforts to date focus on drugs that have previously shown antagonistic activity against other viruses. A broad patient population with diverse pre-existing conditions calls for as many diverse treatment strategies as possible. This proposed project will apply AI technologies to mine the biological networks formed between virus and human proteins and predict existing FDA-approved drugs that can interrupt these interactions.

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Faculty Supervisor:

Bo Wang

Student:

Hamed Janani

Partner:

Cyclica

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of Airborne COVID-19 Isolation and Elimination Device

The key for controlling the transmission of COVID-19 is to isolate and eliminate COVID-19 contaminated air and droplets, particularly aerosols. However, this is very challenging for many healthcare settings such as dentistry, which are in dire need of an effective and feasible solution for reducing the COVID-19 risk. UBC Okanagan will partner with Care Health Meditech Developments Inc. to develop an innovative device, Airborne Infection Isolation and Elimination Device (AIIED), which will enable safe collection and disposal of COVID-19 contaminated air in dental operations. This project is of significant importance for Canada and the world as it reduces the need for production and/or purchase of Personal Protection Equipment (PPE) for combating the pandemic.

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Faculty Supervisor:

Ri Sunny Li;Sina Kheirkhah;Jonathan Little;Joshua Brinkerhoff

Student:

Ram Chanduri;Mojtaba Zabihi;Sepehr Mosadegh

Partner:

Care Health Meditech Developments Inc

Discipline:

Engineering

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Future Safe: Designing Efficient Face Masks in the Era of COVID 19

With the surreal times we are living in the context of Covid-19, wearing face masks has become a global public necessity. While many people are wearing face masks, not all masks are created equal. From very expensive high-tech respirators with multiple layers of filtration, to homemade face masks using less than ideal fabrics, the general public has become aware that covering their faces is a big factor that can reduce contagion. For the general public, effective face masks are difficult to breathe in, and those that let too much air flow are not effective. Our interdisciplinary research team from Engineering, Fine Arts and Arts and Science is aiming to design efficient face masks that without compromising comfort. The partnership unites strengths from Concordia’s Filtration Aerosol Laboratory, the Milieux Institute for Art, Culture and Technology and IRSST to follow three streams of inter-related research: Mask Design, Materials Exploration and Public Pedagogy.

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Faculty Supervisor:

Ann-Louise Davidson

Student:

Anna Eyler;Nathalie Duponsel

Partner:

Institut de recherche Robert-Sauvé en santé et en sécurité du travail

Discipline:

Education

Sector:

University:

Concordia University

Program:

Accelerate

Filling the learning gaps caused by the pandemic: Supporting teachers and their diverse students with digital technology

The closure of schools across Canada during the COVID-19 pandemic has revealed significant gaps in educational provision. In addition, K-12 teachers have had difficulty finding learning resources related to the programs they are responsible for teaching. When students fall behind in school, they develop a learning gap with their peers. Learning gaps are relatively common and invariably require, at some point, a strategy to help the student catch up. In this project, we will examine the feasibility and effectiveness of implementing an innovative online tool that addresses the common challenge of the learning gap in education. We will explore how this innovative online platform can support the accelerated catch-up phase of students with a learning gap and strengthen the digital skills of teachers.

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Faculty Supervisor:

Emmanuelle Le Pichon-Vorstman;Joyce Mgombelo

Student:

Jhonel Morvan;Dania Wattar;Hyun Ha Rosalia Cha

Partner:

Binogi Studios Inc

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

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