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

Ongoing Development of Energy-Economy Climate Policy Models

The overall objective for this project is to support the research of two master’s students who would help advance the methods for modelling energy-climate policies, a field in which EMRG in the School of Resource and Environmental Management at SFU is one of the leading research units in the country and in which Navius Research Incorporated is the leading Canadian consulting firm, providing support to governments and other stakeholders in the development and assessment of energy and climate policy. One sub-project focuses on modeling assumptions and features needed to best model Canada’s achievement of its “net-neutral by 2050” climate target. The other sub-project focuses modeling assumptions and features needed to best model deep decarbonization of Canada’s Emissions-Intensive, Trade-Exposed industri

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Faculty Supervisor:

Mark Jaccard

Student:

Ryan Safton;Gabrielle Diner

Partner:

Navius Research Inc

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Optimization and Analysis of an Adhesion Radial Turboexpander

It is estimated that 20-50% of the energy consumed by Canadian manufacturing processes is ultimately lost via waste heat. Recovering energy from this waste heat will significantly reduce the energy consumption and greenhouse gas emissions of Canadian industry. The proposed research project will conduct a computer-based analysis of a novel waste heat recovery concept that extracts work from a pressurized fluid stream with a relatively low inlet temperature. The geometrical simplicity of the conceptualized turboexpander will make it much cheaper to manufacture and operate compared to existing heat recovery technologies. The project will lead to a novel device that can extract power from waste heat sources with much higher efficiencies and lower costs than are currently available, bringing significant financial and environmental savings to Canada’s energy, oil and gas, and manufacturing industries.

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Faculty Supervisor:

Joshua Brinkerhoff

Student:

Ryan Harder

Partner:

Innovex Engineering

Discipline:

Engineering

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Validation of blood-brain barrier imaging as a biomarker for neuropsychiatric symptoms

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may help explain why patients diagnosed with the same disease often have very different severities of outcome. We focus on two such diseases in order to understand: (1) why some patients with bipolar disorder experience much more severe depression, anxiety and disability; and (2) why some patients with lupus suffer from debilitating cognitive impairment. We believe that patients who have blood-vessel leakage in the brain are more likely to have worse disease outcomes than similar patients with intact blood-vessels. Emagix aims to ultimately translate the developed methodology into clinical use, allowing doctors to predict disease symptoms/outcomes and assess the efficacy of treatments.

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Faculty Supervisor:

Steven Beyea;Chris Bowen

Student:

Lyna Kamintsky

Partner:

EMAGIX Inc

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. companies that own trucks, vans, etc.) care medium or small sized, consisting of a handful to no more than a hundred trucks in their fleet. The emergence of digital freight matching platforms helps improve the efficiencies of freight at a global level by matching smaller carriers to provide freight service across a broad network that they would otherwise have no access to. The success of a such platform requires making sound recommendations in near real-time fashion. The proposed research, in partnership with FreightPath, seeks to investigate methods for better pricing schemes and resource minimization using statistical and optimization techniques.

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Faculty Supervisor:

Kevin Cheung;Yiqiang Zhao

Student:

Zhao Yue;Hao Shi

Partner:

FreightPath

Discipline:

Statistics / Actuarial sciences

Sector:

Transportation and warehousing

University:

Carleton University

Program:

Accelerate

Formulation of Environmentally Sustainable Growing Media Using Industrial Waste Streams as Nutritious Amendments

In light of the national emphasis on climate change and clean growth, the federal and provincial governments have set key goals for developing and implementing globally sustainable production and consumption models in ways that improve the environment. The agricultural industries are seeking innovation and new technologies to develop more choices and alternatives in the raw materials for growing media, with considering environmental and economic sustainability as key driver. The proposed project aims to identify new environmentally sustainable and commercially viable materials from industrial waste streams for promising applications as nutritional amendments for an eco-friendly growing media. The partner organization, BlueSky Organics, will benefit from promoting the new sustainable growing media (substrate) materials developed through this research, to further establish in the market and roadmap collaboration/partnership with Canadian agricultural and forest sectors. This will also create more opportunities for the industry to contribute to circular economy agenda by establishing standard practice guidelines for the management and recycling of industrial wastes and by-products.

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Faculty Supervisor:

Sumi Siddiqua

Student:

Ahmed Sharaby

Partner:

BlueSky Organics

Discipline:

Engineering

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool (e.g., thinking and moving at the same time, important for daily function) that can be used to monitor the integrity of brain networks for higher neurological function. The two-phase project will first develop an existing assessment into one that can be used over the internet. Second, both healthy and post-COVID survivors will use the new web-based tool so that its usability and functionality can be examined and refined. This project will assist individuals and their caregivers in assessing the outcomes and future risks associated with COVID-19 infection- and treatment-caused damage to the central nervous system.

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Faculty Supervisor:

Lauren Sergio;Marin Litoiu

Student:

Payal Goyal

Partner:

ProPlayAI Inc.

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze large amounts of spatial data, such as individual-level epidemiological data, social media, human mobility, transportation, mobile phone data, and vulnerable populations. We will develop a Web based GeoAI framework to track, visualize, analyze, model, and predict infectious disease spread in real-time. The framework will analyze and simulate the transmission dynamics of the COVID-19 outbreak to predict trends in the demographic characteristics and the dynamics of the viral spread. Our Web based GeoAI framework will help Canadians understand how epidemics such as COVID-19 spread, what activities put people at risk, and where the next coronavirus hotspots are likely to be in Canada.

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Faculty Supervisor:

Longhai Li;Kin-Choong Yow

Student:

Noah Little;Lifang Ivy Lei;Man Chen;Soheil Ahmadi Vosta Kolaei;Gurmail Singh

Partner:

Super GeoAI Technology Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Program:

Accelerate

AI Modelling for Chat-text and Biometric Data Collection and Analytics for a Cloud-based Medical Advising Platform

Your Doctors Online is an online smartphone-based application that allows registered patients to chat with experienced and board-certified doctors 24 hours and 7 days a week. Patients can chat, upload images or videos, and get immediate medical advice about a variety of health issues such as cold and flu, sexual health and dermatology avoiding the lengthy waiting period of a hospital or a clinic. Currently patients need to use their own devices to measure their biometric data and the doctors have to look up previous doctors’ notes to provide an informed advice. In the proposed multidisciplinary research, Queen’s researchers will collaborate with the industry partner to enhance their existing platform with artificial intelligence (AI) models to apply 1) natural language processing and deep learning techniques to extract and summarize important health information from the previous chats with a patient, and 2) computer vision techniques for Remote Photoplethysmography (rPPG) to measure patients’ heart rate, blood pressure, and oxygen saturation from an uploaded video. The added functionality will reduce the cognitive load of the doctors, improve patients’ experience, increase the performance and business value of the application and leverage remote health care services to patients around the globe.

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Faculty Supervisor:

Farhana Zulkernine

Student:

Hasan Zafari;Donghao Qiao

Partner:

Your Doctors Online

Discipline:

Computer science

Sector:

Health care and social assistance

University:

Queen's University

Program:

Accelerate

Evolutionarily guided rational design of vaccines, antibody therapeutics, and accurate serological assays for COVID-19

Efforts to contain the spread of COVID-19 have failed and we face an ongoing pandemic that has already infected millions of people world-wide. There are currently no drugs or vaccines that have been approved for the treatment of COVID-19, and existing blood tests for immunity suffer from inaccuracies. Moreover, since antibody or vaccine development can take several years, most of the treatments developed now by screening recovered COVID-19 patient serum to the virus will likely suffer from the rapid mutation of the virus, and may not be effective for future coronavirus mutants. This is the main reason why we cannot use therapies developed for SARS-CoV from the 2003 outbreak to the current pandemic. This project will develop evolutionarily-guided therapeutics and accurate blood tests that will account for future mutations in the virus, which could be used both against the current strain, and may also be able to prevent future pandemics.

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Faculty Supervisor:

Steven Plotkin

Student:

Ching-chung (Shawn) Hsueh;Pranav Garg;Aina Adekunle

Partner:

ProMIS Neurosciences

Discipline:

Physics / Astronomy

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Detecting and Mitigating Adversarial Attacks on Covid-19 Monitoring Solutions

COVID-19 outbreak has changed the world and forced majority of the population to lockdown and isolation. With the lockdowns easing, and things returning to the new normal, it is important to follow the isolation protocols such as social distancing and wearing of masks for containing the outbreak. While there is no denying the efficacy of the protocols, there has been some backlash in the public for these policies including a large number of protests against the COVID-19 protocols in the US [1] [2]. Despite privacy concerns and protests these protocols are an important tool for public safety as they ensure that the number of active infections remain manageable and health care systems do not collapse. As Canadians get back to work there is a need to efficiently monitor these protocols for public safety. Machine vision-based technologies are helpful, and a growing number of companies are offering such monitoring solutions, which ensure that certain conditions are met (e.g., the visitor is wearing a face mask). Because of the negative sentiment in some portion of the population there is a possibility of adversaries who would try to circumvent these monitoring solutions.

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Faculty Supervisor:

Hassan Khan

Student:

Sohail Habib

Partner:

Gradient Ascent Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

R&D agenda in Data Science for emergency response

A person with COVID-19 can spread the disease to others. Therefore, it is crucially important to identify and isolate infected persons immediately to stop disease spreading. Contact tracing is one of the critical tools available to effectively break the chain of transmission and control outbreaks.
Contact tracing is the process of identifying, assessing, and managing people who have been exposed to disease to prevent onward transmission. This process allows for the rapid identification of people who become symptomatic. Identifying people at the onset of the symptoms and promptly isolating them reduces the exposure to other persons, preventing subsequent infections. Additionally, promoting isolation and getting the person to treatment decreases the delay in supportive treatment, which improves the likelihood of survival.
SimplyCast plans to support these activities by expanding the capability of the contact tracing API provided by Apple and Google as a trigger to support the health department and user to initiate the next step of the process once someone is identified that they may be involved in the virus-related incident.

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Faculty Supervisor:

Evangelos Milios

Student:

Alexander Loginov

Partner:

SimplyCast

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Dalhousie University

Program:

Characterization of aerosols generated by various dental procedures

Dental procedures generate a large quantity of airborne droplets. With the concern that COVID-19 transmits through respiratory droplets, dental personnel are at high risk of being exposed to the virus if an asymptomatic patient comes to their clinic. However, limited studies have been performed on the characterization of aerosols generated during dental procedures, how far these aerosols may travel in the clinic, and if they accumulate during the day.
This lack of information leaves dental regulators to give guidelines to their members without having enough information to make appropriate decision for personnel and patient protection, as well as disinfection procedures.
The objective of the study is the characterize aerosols generated by various dental procedures. The study will also look at how far these particles travel inside a dental clinic and if there is a risk of accumulation during the day.

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Faculty Supervisor:

Bernadette Quémerais;Paul Major

Student:

Ataollah Rafiee Tabrizi

Partner:

Alberta Dental Association and College

Discipline:

Medicine

Sector:

Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

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