Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31620 Completed Projects

2978
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696
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899
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9419
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9858
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Projects by Category

Ultraviolet inactivation of Covid-19

Many major municipalities rely on ultraviolet (UV) disinfection of their drinking water and wastewater to protect their citizens and the environment. The novel coronavirus, Covid19, has been detected in water, and may be transmitted by improperly treated wastewater and drinking water. It is important that the sensitivity of Covid19 to UV be measured, in order to ensure adequate UV disinfection. This project will develop methods to accurately assess the UV sensitivity of coronaviruses, and measure the UV sensitivity of coronaviruses in water. These data will allow non-pathogenic coronaviruses to be used as safe surrogates for assessing UV systems. The methods will be transferred to third-party labs that will use them to evaluate pathogenic Covid19 virus.

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Faculty Supervisor:

Marc Aucoin

Student:

Partner:

Trojan Technologies

Discipline:

Life Sciences

Sector:

Construction and infrastructure; Manufacturing

University:

University of Waterloo

Program:

Accelerate

Cellular inflammatory and anti-viral effects of BOLD-100, a novel therapeutic agent in development for COVID-19

Bold-100 is a promising new drug that has been studied as a treatment for cancer. Because of the way it works in cells, there is reason to believe that it may also help protect against infections with viruses like SARS-CoV2 (the cause of COVID-19). The purpose of this project is to study the effects of Bold-100 on cells derived from the human intestine, which are susceptible to SARS-CoV2 infection, to help determine the way the drug effects normal cellular functions and their response to viral infections. The results will help to define the potential of Bold-100 as an antiviral drug, as well as its potential uses for other diseases, including intestinal cancers and inflammatory bowel disease.

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Faculty Supervisor:

Ted Steiner

Student:

Partner:

Bold Therapeutics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Automated Pilot Performance Assessment

In a trend towards increasingly complex aircraft, tomorrow’s pilots must possess excellent situational awareness, problem solving, leadership and communication skills. Pilots trained for these competencies will be best equipped to handle unforeseen situations safely. In this project at Paladin AI, intern will focus on working with real flight simulator data that has been labeled by human experts. Intern will work with this data to develop new analytics techniques for inferring pilot competency. The intern will identify one or multiple markers of either good or poor pilot performance. The goal of this project is to deliver a usable proof-of-concept that can be ultimately be deployed to a production environment by Paladin AI devops team.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Paladin AI Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Predicting demand and inventory shortages for better inventory management in health care institutions

This project aims to predict demand and inventory shortages for better inventory management in health care institutions. This will initially allow for a reduction in the expenses generated by emergency orders placed during a stock shortage. Indeed, it will be possible for the establishment to order a larger quantity of the product from the supplier or to place an order with another supplier. In a second step, placing orders at the right time based on demand forecasting will reduce out-of-stock situations but also optimize the minimum and maximum quantities in inventory.
Better inventory management through greater proactivity indirectly provides peace of mind for the staff and therefore for the patient being cared for.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Logibec

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Optimisation de la localisation et de la répartition des dons : le cas des Banques Alimentaires du Québec

Les Banques alimentaires du Québec (BAQ) veillent au partage équitable et s’assure de mettre en commun des ressources, de l’expertise et des informations afin de répondre de façon plus efficace aux Québécois en situation de pauvreté; elles sont un acteur incontournable et reconnu comme chef de file en matière d’aide alimentaire au Québec. Ce projet vise à développer un système qui recommande des solutions aux gestionnaires en ce qui concerne deux décisions logistiques : la localisation de l’entreposage des dons de denrées et la répartition des dons entre les organismes partenaires. Ce projet permettra donc d’augmenter la résilience de la chaîne logistique des BAQ et d’optimiser la distribution des dons de denrées alimentaires dans le réseau des BAQ.

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Faculty Supervisor:

Julie Paquette;Gilles Caporossi

Student:

Partner:

Fondation de l'Hôpital du Sacré-Cœur de Montréal;Banques alimentaires du Québec;Toucan Solution Inc

Discipline:

Business

Sector:

Health and Related Sciences & Technology; Other services (except public administration)

University:

HEC Montréal

Program:

Accelerate

Detection of missing words

The software Antidote (www.antidote.info) is capable of correcting English and French corpuses. It detects thousands of types of errors. We want to add new types of correction using modules based on deep learning. The detection of missing words is a type of correction that we want to address in this internship. Here is an example of a sentence where Antidote displays a break (analysis problem), but which a deep learning model could correct:
If the project performs well, the intern will be able to try an integration of his model in our Antidote software.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Druide Informatique

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

A rapid detection test (RDT) to determine surface contamination by the SARS-CoV2 virus

The residual bacterial and viral contamination that remains on surfaces after cleaning in healthcare and palliative care settings is particularly lethal during a pandemic. Due to inevitable overcrowding and long shift hours, slipups occur. A technique to monitor surface cleanliness, and particularly to detect the presence of SARS-CoV2, is required to ascertain contamination and, if necessary, refine cleaning processes. We will develop a swab-based rapid detection test (RDT) kit to determine the presence of the SARS- CoV2 virus on surfaces. The RDT is based on a proven particle plasmon resonance sensing method using gold nanoparticles commercialized by our industry partner Genemis Labs. During our research, we will modify this sensing technique and make it specific to SARSCoV2 virus using antibodies specific to its viral surface proteins. Gold nanoparticles will be functionalized with antibodies and stabilized in a colloidal suspension that, along with a single-use sample processing apparatus and a portable colorimeter, will be used to detect colour changes that quantify relative surface viral load. The RDT will provide a quick method to monitor the presence of SARS- CoV2 and verify a surface cleaning procedure, thereby
diminishing infection spread and standardizing best practices across facilities.

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Faculty Supervisor:

Ishwar Puri;Rakesh P Sahu

Student:

Partner:

Genemis Laboratories

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Development of an integrated online enzymatic micro-fluidic chip for glycoprotein analysisusing Chip-Cub QToF mass spectrometry

Glycoprotein analysis is very important in different field such as cancer and pharmaceutical research,
as ‘more than 70% of the proteins are glycosylated. However, the sample preparation of glycoprotein
for glycan profiling is very tedious as includes many enzymatic steps that could go for -36 hrs. This
project aims to develop a one chip reactor that can be used to prepare the glycoprotein(s) for mass
spectrometry analysis. This reactor includes online multi-enzymatic steps to eventually have the
glycans that are expressed on the glycoprotein, characterized and relatively quantified using mass
spectrometry. This chip can only be used on Agilent chip-cub that combined with Agilent QToF mass
spectrometry, which will lead to develop their Immunoglobulin commercial kit to be general for any Nglycoproteins.

View Full Project Description
Faculty Supervisor:

James Dennis

Student:

Partner:

Agilent Technologies

Discipline:

Life Sciences

Sector:

University:

University of Toronto

Program:

Accelerate

Machine learning and the COVID Black Box: Safe monitoring of COVID-19 ICU beds, assessment centres, and surgeries

The project aims to optimize healthcare provider and patient safety and monitor PPE use, to optimize resource utilization during the COVID-19 pandemic. Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. With the data collected from operating room black box, the main aim is to analyze 1) hand hygiene, 2) adherence to personal protective equipment (PPE) protocols, 3) breaches in safety, and 4) system vulnerability in Ontario.

View Full Project Description
Faculty Supervisor:

Animesh Garg

Student:

Partner:

Surgical Safety Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Mitigating Snowy Owl Aircraft Collisions by Relocation

To aid in active management of Snowy Owls and other raptors at airports, it is essential to understand the spatial distribution and movement behaviour of birds both on and off the airfield. The impact of airfields on birds may be particularly pronounced because airfields provide open, undeveloped land similar to early successional habitats that are perceived as high quality by many species. Airport collisions are a significant threat to Snowy Owls and humans, and preventative measures cost over $500 million dollars each in North America alone. By using tracking technology and GIS software, our project will quantify movement data and environmental factors influencing relocations of Snowy Owls from airport facilities. This research will improve our understanding of Snowy Owl relocation behaviour and provide critical data to improve relocation efforts and to minimize collisions between airplanes and Snowy Owls.

View Full Project Description
Faculty Supervisor:

Kyle Elliott

Student:

Partner:

Falcon Environmental Services

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

COVID-19 Monitor: a rolling public opinion study on the dynamics of the pandemic

This project will undertake a year-long rolling study of public opinion across eight countries—Canada, the United States, the United Kingdom, Australia, New Zealand, France, Germany and Brazil. It will measure the health, social, and economic impacts of COVID-19 throughout the duration of the pandemic and during its immediate aftermath. The study will be comprised of multiple survey waves in each country, mostly drawn from Vox Pop Labs’ proprietary online respondent panel, which is comprised of several million people worldwide. The proposed research team will be responsible for continuously adapting the survey design to reflect the changing dynamics around the pandemic, for analyzing the incoming data from the surveys, and for promptly and continuously engaging in knowledge mobilization via means such as government briefings, media contributions, and other public information resources.

View Full Project Description
Faculty Supervisor:

Michelle Dion

Student:

Partner:

Vox Pop Labs Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Generating a COVID-19 vaccine using ministring DNA and virus-like particles

The COVID-19 pandemic is a global health crisis on an unprecedented scale, with over 1 million confirmed cases, spread over 200 countries. With the world at a virtual standstill, and no existing treatments, there is an enormous need for novel therapeutics and vaccines to combat COVID-19. Our group is working on a DNA vaccine strategy that exploits our proprietary miniaturized DNA vector technology, called ministring DNA (msDNA), to encode and deliver specially engineered copies of COVID-19 viral proteins. Once delivered into human host cells, these proteins will be designed to self-assemble into viral-like particles (VLPs). VLPs are safe, generate a strong host immune response, and have a record of commercial success as vaccine products. We are confident that our strategy will lead to the development of an effective COVID-19 DNA vaccine.

View Full Project Description
Faculty Supervisor:

Marc Aucoin;Shawn Wettig;Andrew Doxey;Roderick Slavcev;Mahla Poudineh

Student:

Partner:

Mediphage Bioceuticals Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.