Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Conditions environnementales associées à l’habitat du frêne noir en plaine de débordement au lac Duparquet

Le projet vise à évaluer les conditions permettant au frêne noir, une espèce protégée, de se maintenir sur les plaines de débordement du Lac Duparquet en Abitibi dans un contexte où les changements climatiques pourraient entrainer une modification plus ample du régime des crues. Pour ce faire, le projet vise trois sous-objectifs soit i) localiser et géoréférencer les peuplements de frêne du lac Duparquet (dimensions), ii) géoréférencer les transitions écologiques (zone de végétation) survenant à l’intérieur des peuplements et iii) déterminer à l’intérieur de ces zones la sévérité des crues enregistrées par les arbres et ce par l’analyse des cernes de crues. L’analyse des cernes de croissance permettra d’établir dans chaque zone l’intensité/durée des crues. Après avoir construit une base de données géoréférencées et en recoupant cette information avec la cartographie LIDAR, les résultats serviront à évaluer comment les changements dans le régime des crues pourraient influencer la pérennité de ces peuplements exceptionnels situés près de leur limite nordique de distribution.

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Faculty Supervisor:

Yves Bergeron;Jacques Tardif

Student:

Partner:

Organisme de bassin versant Abitibi-Jamésie;Produits forestiers GreenFirst

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Forestry; Environmental Science and Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Automatic Seizure Detection, Prediction, and Mitigation Using Minimally Invasive Implantable Bioelectrical Sensors

Epilepsy affects 65 million people globally, with 30% unable to control their seizures with medication.
Implantable devices that control brain activity via electrical stimulation are an alternative treatment option;
however, existing FDA-approved devices only render 13% of patients seizure-free for up to a year.
NerveX Neurotechnologies has developed ANIMO (Adaptive Neural Implant for Modulation and Observation), which solves the key problems causing limited efficacy in existing solutions. By leveraging machine learning insights, ANIMO can offer valuable insights in predicting when a seizure may occur. The present project will be concerned with improving seizure detection algorithms and customizing ANIMO to individual patient needs.

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Faculty Supervisor:

Alexander Mariakakis

Student:

Partner:

NerveX Neurotechnologies, Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Artificial Intelligence; Technology

University:

University of Toronto

Program:

Accelerate

Speech enhancement and recognition with generative adversarial network

While taking foreign language tests, people may record responses with different environments and equipment. sometimes the recording may not be very clear. The low-quality audios can lead to unusual results in speech recognition and scoring by the scoring systems. Audios with a higher resolution (sample rates) contain richer information since greater frequency ranges can be represented in the data, capturing greater level of detail and texture to produce high-quality audio, such as sibilants and fricatives. Pearson would like to improve the quality of existing data by transforming audios with lower resolution in the dataset to audios with higher resolution, in order to better train and develop a more robust system for the automated speech recognition machine. Improving these systems would greatly benefit Pearson’s competitiveness in the market and would also contribute towards expanding the boundaries of knowledge in speech enhancement.

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Faculty Supervisor:

Gerald Penn

Student:

Partner:

Pearson Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Automatic alignment of subtitle and audio track for TV broadcasting

Subtitles are typically generated postproduction and might be mis-aligned with the audio track. Alignment of subtitles to audio is a task which aims to produce accurate timings of the words within a subtitle track given a corresponding audio track. The alignment task is of significant relevance to Bell media. Semi–automated solutions exist, and they involve different degrees of human involvement in post-edit. Automatic subtitle alignment will reduce production time and human labor costs. This research project will look at automating the subtitle alignment.

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Faculty Supervisor:

Shahram Shirani

Student:

Partner:

BCE Inc

Discipline:

Engineering

Sector:

Information and cultural industries

University:

McMaster University

Program:

Accelerate

Effective experimental and modelling approaches to investigate CO2 capture with IL/water

The increasing concentration of CO2 has caused various adverse environmental effects on the Earth’s oceans, land, and atmosphere, leading to a worldwide consensus on the necessity of action and commitment to emission reduction. Carbon Capture and Storage (CCS), which involves capturing CO2 resulting from industrial processes for storage in underground geological formations, has proven to be an effective method for CO2 emission mitigation. CO2 absorption using chemical solvents such as amines is a prevailing but technically challenging and rather low-efficiency method of carbon capture. Ionic Liquids (ILs) provide a green alternative for chemical CO2 capturing. However, their typically high viscosity and uncertain selectivity pose challenges to their application. This research is intended to improve the techno-economic viability of carbon capture through CO2 absorption with ILs. We integrate the process design in customizing task-specific ILs through a combination of experimental, mathematical, molecular modelling, and machine learning approaches.

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Faculty Supervisor:

Sohrab Zendehboudi

Student:

Partner:

Energy, Matter & Environmental (EM&E) Consultants Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Encrypted IoT Network Traffic Analysis for Cybersecurity

Use of clear-text for network communication is quickly becoming obsolete. End-to-end encryption of mobile
applications and proliferation of TLS based encrypted traffic are fueling the growth of encrypted traffic on the
Internet. Many applications tunnel traffic over HTTPS. Today, over 80% of Internet traffic is encrypted. With the
recent advancement of TLS handshake, traditional mechanisms such as Deep Packet Inspection (DPI) and TLS
fingerprinting are unable to inspect traffic in the traditional manner. As a result, operators are unable to block
illegal applications, enforce policies, and detect cyber threats hiding in an encrypted traffic. In addition, extensive
deployment of hyperconnected devices such as Internet of Things (IoT) has created a new attack surface. Further,
an emerging generation of IoT devices will support encryption, making detection of rogue IoT devices a challenge.
In this project our goal is to design, develop and evaluate a machine learning based platform for encrypted network
traffic analysis in order to detect rogue IoT devices and malicious behaviours.

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Faculty Supervisor:

Nur Zincir-Heywood

Student:

Partner:

Solana Networks

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

A Microfluidic Biosensor for Monitoring Post-Operative Drainage Fluid

Anastomotic Leakage is a common complication that can occur shortly after surgery and lead to increased mortality rates if it is detected too late. The current method of detection relies on monitoring clinical symptoms and visual inspection of the surgical drain fluid, but this process is often delayed and reactive. NERv Technology Inc. is dedicated to developing a system that can continuously monitor the contents of the drain output for a long period of time (i.e. ~ 10 days), and provide early detection of key biomarkers that indicate anastomotic leakage. Amylase is one of the key biomarkers associated with anastomotic leakage. This project proposes to develop a microfluidic-based amylase biosensor that is compatible with NERv’s existing system for inline monitoring the surgical drain output by leveraging Dr. Ren’s expertise and technical know-how in microfluidics and electrical sensing and NERv’s expertise and knowledge about anastomotic leakage problem.

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Faculty Supervisor:

Carolyn Ren

Student:

Partner:

FluidAI Medical

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Development of a plant-based production system

Rare cannabinoids are currently gaining popularity for their potential uses in pharmaceuticals, therapeutics and cosmetics. Traditional cannabis companies are currently unable to produce these compounds and the demand is expected to increase significantly in the future. This highlights the need for new, innovative solutions to solve this problem. Using synthetic biology, the intern will develop a prototype for the company’s plant-based production system that will be used for the production of rare cannabinoids. This results of this project will be used to file the provisional patent application and blaze the trail towards implementation and commercial application through discussions with established companies. These complementary companies will be able to partner with TerraPlant or license (non-exclusive licenses) its technology.

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Faculty Supervisor:

Josh Powles

Student:

Partner:

Terra Plant Molecular Pharming Inc.

Discipline:

Life Sciences

Sector:

Agriculture

University:

Loyalist College

Program:

Accelerate

An Examination of Mental Health Leadership and Social Advocacy by Post-Secondary Students with Lived Experience in Atlantic Canada

The crisis in university student mental health has intensified with COVID-19. Support for students with mental health and illness experiences and identities is now more important than ever. Prior to the pandemic students were taking matters into their own hands and working together to advocate for improved learning environments and educational experiences. This project will examine how participation in campus-based mental health advocacy can support more inclusive and equitable experiences of university education in Atlantic Canada. Results will raise awareness of student-led mental health advocacy in universities in Atlantic Canada, mobilize current evidence on university student led mental health advocacy, and identify influences that support positive experiences and outcomes from the perspectives of student advocates themselves.

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Faculty Supervisor:

Katie Aubrecht

Student:

Partner:

Eviance

Discipline:

Sociology

Sector:

Education; Public Service, Policy, and Governance; Health and Related Sciences & Technology

University:

St. Francis Xavier University

Program:

Accelerate

Évaluation de l’ampleur économique de la « véloconomie » au Québec

L’objectif de la recherche est de quantifier l’importance économique de la filière cycle, comprise dans son sens large (d’où le néologisme de « véloconomie »). Le Québec dispose de précieux atouts en la matière sur son territoire avec une demi-douzaine de fabricants de vélos et la plus importante véloroute en Amérique du Nord. Cette tendance va s’accentuant, puisque les entreprises en cyclologistique se multiplient depuis les cinq dernières années, les services de vélos en libre-service se développent et les magasins de vente et de réparation de vélo connaissent une prospérité record.
Outre le poids économique « direct » de l’industrie du vélo, tel que mesuré par le chiffre d’affaires et la création d’emplois, de nombreux aspects économiques liés au vélo ne sont pas immédiatement chiffrables, comme l’amélioration de la santé (mentale et physique) des usagers, la réduction de la pollution et l’augmentation du tourisme, qui nécessiteront des techniques spécifiques d’évaluation.

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Faculty Supervisor:

Justin Leroux

Student:

Partner:

Vélo Québec Association

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Other services (except public administration)

University:

HEC Montréal

Program:

Accelerate

Comparative study of intestinal uptake of eicosaheptaenoic acid (EPA) and docosahexaenoic acid (DHA) from an intrinsically acid-resistant softgel vs a classic non-acid resistant softgel in production swine

GelEntroCeutics have developed an intrinsically acid-resistant formulation of gelatin that was used to make fish oil softgels which are acid-resistant per se and do not need to go through the coating process. This achievement is a major advantage over the usual coating of fish oil capsules with gastric acid-resistant layers that is susceptible to deformation and flaking phenomenon during the coating process. As such, since the bioavailability of active pharmaceutical ingredients also depends on the method of formulation, more so when the dosage form is a delayed-release form, it becomes necessary to evaluate the effect of coating fish oil with an intrinsically acid-resistant formulation of gelatin on the bioavailability of EPA and DHA. This study will determine the safety of this new pharmaceutical, and will investigate if this intrinsically acid-resistant (enteric) softgel affects the plasma levels of DHA and EPA compared to the conventionally enteric coated softgel.

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Faculty Supervisor:

Dawei Zhang

Student:

Partner:

GelEntroCeutics

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Visual tools for the STS sensor

This project will develop computer vision based tools for application to the see through sensor, a new sensor developed at SAIC Montreal, which has the unique capability of acquiring both tactile (touch) and visual information, while in interaction with objects. These tools will allow for new sensing capabilities to be deployed including contact categorization, slip detection, and object handover during in human-robot interaction tasks. The development of these tools will greatly enhance the applicability of the sensor to problems encountered in robotics and in particular, tactile manipulation tasks.

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Faculty Supervisor:

Kaleem Siddiqi

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

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