Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Automatic Creation of Fertility Maps in Precision Agriculture

One of the important problems in farming is to decide on variable fertilizer rates based on the inputs about varying soil types and some other factors. This is a key component for optimizing productivity and sustainability in precision agriculture. The main objective of this project is to use datasets captured by satellite imaging to develop computer algorithms for:
1. automatic creation of fertility maps to guide soil test points selection,
2. visual analytic tools to help agronomists to make decisions about variable fertilizer rates and yield goals of crops across multiple fields.

View Full Project Description
Faculty Supervisor:

Faramarz Samavati

Student:

Partner:

Decisive Farming Corp.

Discipline:

Computer science

Sector:

Agriculture and Food; Information and Communications Technology; Sustainability & the Environment

University:

University of Calgary

Program:

Accelerate

AI-empowered Robust Ad-hoc Underwater Tactical Wireless Networks: Sensing & Threat Classification

This project is part of a longstanding continuous collaboration between Ultra and École de technologie supérieure that seeks to leverage the advancements of artificial intelligence (AI) to design a comprehensive framework for a robust ad-hoc underwater tactical wireless networks (AUTWNs). The network will be featured with privacy preserving mechanism to assist threat classification and self-organizing capabilities. AUTWNs play a significant role in the success of maritime and warfare missions, naval and underwater disaster relief operations, and many more. Ultra is a global leader in AUTWNs; their customers include the Five-Eyes nations and others. As part of its strategic research and development plan, Ultra is planning to upgrade its underwater wireless communication (UWC) systems. The current state-of-the-art AUTWNs require constant human intervention, for network configuration and reconfiguration in case of failure, threat management and classification, etc. The current advancements in AI make such a reliance on humans a huge vulnerability, which motivates this project. Furthermore, the key-concepts and core-technologies developed under this project are not only imperative for tactical and emergency applications, but they are also of significant value for scientific and environmental applications to monitoring underwater environments.

View Full Project Description
Faculty Supervisor:

Georges Kaddoum

Student:

Partner:

Ultra Intelligence & Communications

Discipline:

Engineering

Sector:

Information and Communications Technology; Artificial Intelligence; Ocean Tech

University:

École de technologie supérieure

Program:

Accelerate

Oblivious IDS using Homomorphic Encryption

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as a service on the cloud. In this model, the cloud system administrator who runs and operates the IDS does so while being completely oblivious to the underlying policies and matching rules.

View Full Project Description
Faculty Supervisor:

Mostafa Taha

Student:

Partner:

Solana Networks

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding (Phase II)

We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed and how patients are improving over time.

View Full Project Description
Faculty Supervisor:

Helen Chen

Student:

Partner:

Semantic Health Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Ubisoft: Détection d’anomalies de performances

L’industrie du jeu vidéo est une source inépuisable de données et notamment de données de performances [8]. L’origine provient de la nécessité pour une expérience de jeu ultime, d’avoir des performances similaires quelle que soit la plateforme utilisée. Cependant, la fragmentation du marché des plateformes de jeu est multiple. Entre les différentes consoles et l’ensemble des configurations possibles pour les ordinateurs personnels, un développeur de jeu doit faire face à une myriade de problèmes de performances. L’idée de ce projet est de faciliter cet aspect du monde des jeux vidéo.
Ubisoft développe des jeux multi-plateformes, et pour chaque plateforme, tente d’optimiser les performances d’affichage (en nombre d’images par seconde). Lors de cette phase de test, une quantité impressionnante de journaux sont générés en vue d’analyser l’impact de chacune des composantes du jeu (comportement, animation, rendu, etc). Dans chacune de ces composantes, c’est parfois plusieurs milliers d’éléments qui sont impliqués et nombre d’entre eux sont réutilisés entre différents jeux ou dans différents contextes d’un même jeu. Par exemple, le comportement d’un lapin pourra être réutilisé en plaine en été ou en montagne en hiver.

View Full Project Description
Faculty Supervisor:

Christian Gagné;Audrey Durand

Student:

Partner:

Ubisoft Divertissement

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

Université Laval

Program:

Accelerate

Customizing CareChanger to remotely detect and effectively predict void events.

The CareChanger product is an incontinence care system to be used for detecting and predicting voiding events of a care-receiver in an assisted care facility while providing care to one or more patients with incontinence issues. The fundamental aim of this project is to assist caregivers in providing more personalized, efficient, and cost-effective care specifically around void events and prevent health issues in patients.

View Full Project Description
Faculty Supervisor:

Aaron Gulliver

Student:

Partner:

4M Biotech

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Research of the Chemicals of Concern Within the Finished Products Sold by Teknion

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their products’ toxicity and continuing to show their commitment to the Health Product Declaration. In addition, the information provided by this research will facilitate their implementation of current and upcoming chemical management regulations and enable the maintenance of their high environmental and social accountability standards. This research will also provide a useful critical analysis of the current voluntary guidelines and frameworks for acquiring chemical content information of products, which may facilitate Teknion’s future investigations of their products’ chemical content.

View Full Project Description
Faculty Supervisor:

Roberta Fulthorpe

Student:

Partner:

Teknion Furniture Systems (Ontario)

Discipline:

Physics

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Development of High performance and Durable Catalyst Layers for Proton Exchange Membrane Fuel Cells by Focusing on Ionic Phase

Proton exchange membrane fuel cell is in the early stage of commercialization and mass production lies in the cost reduction, increase performance and durability. All of these three challenges interrelated together and mainly related to the proper design for catalyst layer. The proposed research project aims at developing novel catalyst layers structure for dry/low relative humidity operational conditions by focusing on ionic phase of catalyst layers. Catalyst layer is a complex three-phase system include catalyst, catalyst support and ionomer which is responsible for the simultaneous transport of the reactants, products, and charged species, including both electrons and protons. This research proposal will focus on the impact of different ionomer types, ratio and design in catalyst layers on cell performance and durability as ionomer affects the ionic conductivity, catalyst utilization, mass transport, and binding materials, and the amount of ionomer applied can be critical to cell performance and durability.

View Full Project Description
Faculty Supervisor:

Samaneh Shahgaldi

Student:

Partner:

Hydrogenics;Cummins Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Evaluating the impacts and acceptability of a fresh food prescription program on health, food security, and social connectivity in Guelph, Ontario: A quasi-experimental study

Food security is a serious public health concern in the Guelph region, with prevalence of food insecurity surpassing the provincial and national averages. There is a need for community-based interventions to support individuals and families struggling with food insecurity and related poor nutrition and health. The proposed research aims to evaluate the impacts and acceptability of a fresh food prescription program, in which healthcare providers ‘prescribe’ fresh food to participants and provide them vouchers redeemable for fresh fruits and vegetables through an online delivery service. Within this project, an intern will facilitate baseline and follow-up food security, dietary intake, and clinical health evaluations to determine the impacts of the intervention on food security, fruit and vegetable consumption, self-reported and clinical health measures, and social connectivity. This research therefore evaluates an innovative new model for healthcare that connects patients with non-therapeutic solutions. We expect that this research will contribute important evidence that will improve patient care and alleviate burdens on the healthcare s

View Full Project Description
Faculty Supervisor:

Matthew Little;Warren Dodd;Matthew Little

Student:

Partner:

Guelph Community Health Centre

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Victoria; University of Waterloo

Program:

Accelerate

Consistent and Grounded Dialogue Response Generation. Generating responses to dialogues such that the responses are logically and factually consistent with the previous history of the dialogue and supplied external context

Conversational experiences are becoming more prevalent in software applications – from Alexa and Google assistant to Siri and Cortana – though the quality degrades when the automated dialogue agent must refer to or recall specific information. These systems are often forgetful, nonsensical, contradictory, repetitive, or hallucinatory, which impacts the user experience. This project aims to improve the consistency of responses generated by dialogue agents, thereby improving user engagement and trust in the software bot. Microsoft has many conversational experiences embedded in their software and solutions which can benefit from such a solution, like Cortana, Customer Care, Bot Framework, and Azure Cognitive Services.

View Full Project Description
Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

Microsoft Canada

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Développement d’un agent de remplacement de l’agar dans une diète pour l’élevage industriel de larves de carpocapse (Cydia pomonella).

Les larves de Carpocapses et de tordeuse oblique du pêcher sont des ravageurs de cultures (pommes, poires et fruits à noyau). BioTEPP produit un biopesticide efficace contre ces derniers dont l’agent actif est un virus produit in vivo sur les larves. Elles sont nourries à l’aide d’une diète artificielle mimant les caractéristiques de la pomme. L’entreprise est dépendante d’un seul fournisseur et celle-ci représente plus de 20 % des coûts de production. L’agar est l’agent texturant de la diète actuelle et est l’une des causes principales du prix élevé de celle-ci. L’objectif du projet est de trouver un agent de remplacement de l’agar dans la diète actuelle des larves permettant de lui conférer des caractéristiques (texturales et rhéologiques) semblables à celles de la diète présentement utilisée. Ceci permettra à l’entreprise d’augmenter sa compétitivité sur le marché en réduisant sa dépendance face à son unique fournisseur, et ce, en plus de réduire les coûts de production.

View Full Project Description
Faculty Supervisor:

Sylvie Turgeon

Student:

Partner:

BioTEPP

Discipline:

Physics

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Automation of the TRCA’s Flood Risk Analysis Network (FRANk)

The Toronto and Region Conservation Authority (TRCA) use FRANk (Flood Risk Analysis Network), as a post storm decision making tool. This tool uses stream and rain gauge data to aid in managing and maintaining erosion control structures that are impacted by flooding events. However, FRANk has limitations, including a time-consuming rain gauge data collection process, and it is currently unable to adequately identify which erosion control structures should be prioritized for inspection and maintenance in a cost effective and timely manner. This three-step project will address these issues by (1) automating the extraction of stream and rain gauge data from the variety of websites that host these datasets, (2) use the automated rain gauge data collection to build suitability maps which show the locations in the TRCA’s jurisdiction that have a heightened likelihood of flooding during rain events, and (3) use the suitability maps to build predictive models which will simulate and predict the extent of future flooding events, focusing on the locations where erosion control structures are situated.

View Full Project Description
Faculty Supervisor:

Eric Vaz

Student:

Partner:

Toronto and Region Conservation Authority (Vaughan, ON)

Discipline:

Earth science

Sector:

Professional, scientific and technical services; Public administration

University:

Toronto Metropolitan University

Program:

Accelerate

Previous
1…1,5251,5261,5271,5281,5291,5301,531…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe