Innovative Projects 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

Flood and drought prediction, simulation, and monitoring for the City of Terrebonne

The increasing frequency of flooding has driven research to improve near real-time flood mapping from remote-sensing data. In Quebec, in
the spring of 2017, several regions experienced severe flooding caused by consecutive record-setting rain events during snowsmelt from early
April to mi0-d-May. The current project aims to provide real-time monitoring tools not only for flooding but for drought as well, i.e.,
visualization and simulation tools using both remote sensing data, but also data collected from an Internet of Things network. In addition, the
project includes the design and development of prediction tools for both flood and drought, using machine learning algorithms.
The project is a multidisciplinary one, with expertise in visualization/simulation, prediction of flood/drought with machine learning, and
networking expertise for the efficient, reliable and safe transmission of data.

View Full Project Description
Faculty Supervisor:

Brigitte Jaumard;Charalambos (Charis) Poullis

Student:

Nima Sarang

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

Concordia University

Program:

Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data resulting from condition monitoring to develop anomaly detection algorithms for improving early-stage fault detection and diagnosis processes.

View Full Project Description
Faculty Supervisor:

Faramarz Samavati

Student:

Roghayeh Heidari

Partner:

AB Cognitive System Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

An Improved Approach to Watershed Management and Adaptive Decision Making in the Great Lakes

With collaboration between the Council of the Great Lakes Region, Pollution Probe and Lambton College, the proposed project is focused on continuing the development of an artificial intelligence visualization tool to enable users to select growth constraints and visualize resulting changes to watershed health, predict how watersheds will evolve over time and prescribe actions to protect them. This AI tool’s purpose is to analyze historical watershed data and to predict changes to a watershed over time. Looking into water quality and the minimum and maximum of water quality thresholds.

View Full Project Description
Faculty Supervisor:

Pedram Faghihi

Student:

Dishaben Patel;Yashraj Sharma

Partner:

Pollution Probe

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Lambton College

Program:

Accelerate

Developing a surrogate marker to asthmatic tissue: the nasal cavity

Our research proposal will explore the unified airway theory and determine whether the sinuses express biological similarities to the lungs in participants who only clinically present with Chronic Rhinosinusitis (CRS)or asthma and not with both diseases. The unified airway theory suggests that the lower (lungs) and upper (sinuses) airways are intrinsically connected and function together as one unit and the biological processes, such as inflammation, in the lower airway are similar in the upper airway. Therefore, we will examine several markers of inflammation by measuring gene expression levels of inflammatory cells and proteins in both the upper and lower airways. We expect that participants who have CRS either with or without asthma will exhibit a unified airway by displaying similar inflammatory markers in the lungs and sinuses if their diseases are immune driven. We do not expect to see a unified airway in participants whoseCRS is due to a localized infection, structural risk factors, or isolated sinus disease. Discovering when the inflammatory profiles of the sinuses and lungs are the same in participants who only have CRS or asthma will provide novel evidence for the unified airway theory and support for the possibility of using the sinus TOBECONT’.

View Full Project Description
Faculty Supervisor:

Andrew Thamboo

Student:

Rogério Pezato

Partner:

Providence Health Care

Discipline:

Medicine

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Feasibility, acceptability and cost-benefit of the O2 Sensor Measurement, Transmission and Analysis (ATAS O2) in clinical practice during the COVID-19 pandemic

The health system is highly dependent on supplemental oxygen, used in many medical procedures. During the COVID-19 pandemic, the demand for oxygen increased which requires an increase in management and clinical efficiency. The monitoring of the oxygen is currently performed by a person who observes the flow rate and adjusts it according to the medical prescription for the patient. This process has limited efficiency for monitoring dosage and leaks. The O2 Sensor Measurement, Transmission and Analysis System (ATAS O2) automatically measures the oxygen flow in the hospital’s piping system and transmits the data through its own internet network, improving oxygen management. The main objective of the study is to evaluate the costs and benefits of using the ATAS O2 system for monitoring and managing medical oxygen to hospital beds and to determine whether the technology will generate a financial and clinical benefit for the health system.

View Full Project Description
Faculty Supervisor:

Denise Connelly;Janelle Unger;Keith Thompson;Shehzad Ali

Student:

Neciula de Paula Carneiro Porto Gomes

Partner:

Salvus

Discipline:

Physics / Astronomy

Sector:

Professional, scientific and technical services

University:

Western University

Program:

BC Arts Sector COVID-19 Response: Study of Arts on Prescription Pilot

Arts on Prescription is a system wherein a registered doctor can refer a patient to a cultural service offered by a professional arts organization with the goal of altering the social factors that impact the patient’s health. AoP is successfully used outside of British Columbia as a way to address the social determinants of health, democratize the arts and direct resources to community-based arts programs. For these reasons, in 2021-2022, the BC Alliance for Arts and Culture will oversee an Arts on Prescription Pilot program co-created with an arts organization and a COVID-19 long-haul clinic in Vancouver. This research project will evaluate the impact of the AoP Pilot program.

View Full Project Description
Faculty Supervisor:

Susan Cox

Student:

Carolyne Clare

Partner:

BC Alliance for Arts + Culture

Discipline:

Epidemiology / Public health and policy

Sector:

Arts, entertainment and recreation

University:

University of British Columbia

Program:

Accelerate

Biosurfactants production by fermentation

The proposed project is a collaboration between InnuScience and researchers in the Chemical and Biochemical Engineering Department at Western University. InnuScience uses biotechnology to replace harmful chemicals, eliminate waste, and deliver sustainable cleaning solutions for the cleaning industry. This research collaboration will experimentally optimize the production of biosurfactants by microorganisms via fermentation pathways, focusing on cleaning applications. These molecules are naturally occurring and consist of a polar group and a non-polar tail, hence acting as biosurfactants. They might be a green replacement for petrochemicals as they can be produced from renewable resources, are easily biodegradable, and exhibit low eco-toxicity. This project aims to identify promising combinations of fermentation conditions, purification methods, and product stabilization for applications relevant to InnuScience, a leader in the field of biotechnology for the cleaning industry.

View Full Project Description
Faculty Supervisor:

Dominic Pjontek;Lars Rehmann

Student:

Rachel Schneiderman

Partner:

InnuScience

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Multiscale Bat Habitat Selection and population trends at Maternity Colonies and Hibernacula in Southwestern Quebec

Bats are fascinating animals that provide many ecological services by regulating insect populations. They can eat about 600 insect per hour! Since the introduction of white-nose syndrome in 2006, bat populations in North America have become increasingly threatened. This fungal disease has caused dramatic decreases in many bat populations. Without a cure for white-nose syndrome, the protection of bats and their habitat might be the best way we can help them. However, since bats are small and nocturnal, their preferred habitats are understudied. In partnership with the Kenauk Institute, we will create a portrait of bats habitat selection at summer roosts and at winter hibernacula in Quebec. We will use citizen science data to collate information on bat population trends and map known maternity roosts and hibernacula to study the landscape surrounding them. The result will help us understand where and which species of bats live on the Kenauk Reserve and what habitat we should protect to help them. It will help land managers like the Kenauk Institute to take informed decision when managing land with known bat presence.

View Full Project Description
Faculty Supervisor:

Kyle Elliott

Student:

Jade Legros;Amelie Fontaine

Partner:

The Kenauk Institute

Discipline:

Resources and environmental management

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

Design and Validation of a New Textile Technology for Monitoring Body Position and Respiration Signal

Many seniors are spending their time lying in bed or sitting in recumbent chairs because of chronic conditions that limit their mobility. It is crucial to assure that their position is changed regularly to prevent bedsores. Therefore, a monitoring system is required to not only remind the caregivers or family members to reposition the patients regularly but also to have a minimum interference with the patients’ normal lifestyles. The main goal of this study is to propose a smart bed sheet for capturing the body motions and positions as well as physiological data such as respiration rate in real time.

View Full Project Description
Faculty Supervisor:

Atena Roshan Fekr;Geoffrey Fernie

Student:

Lindsay Stern

Partner:

Noxware Ltd.

Discipline:

Engineering - biomedical

Sector:

Health care and social assistance

University:

University of Toronto

Program:

Accelerate

Investigation of enhanced superplastic forming behaviour of Ti-6Al-4V alloy sheets for aerospace applications

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating load during the forming process, the titanium alloy is expected to deform more uniformly and to a greater extent than during conventional superplastic forming. The objective of this investigation is to determine the ranges of amplitude and frequency of the oscillating load that will optimize the formability of the titanium sheet. The results of this research will ultimately be applied to industrial processes in order to improve process robustness and part quality while reducing cycle time and manufacturing costs.

View Full Project Description
Faculty Supervisor:

Daniel Green

Student:

Zackary Fuerth

Partner:

AEM Power Systems Inc

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Developing cultivars for the plant-based sector in Quebec: Phase i – breeding program construction and agronomy trials

It is critical for farmers to have cultivars so that they can make decisions on the best practices to undertake when growing a new crop and maintain productivity and competitiveness in the marketplace. Pulse production is growing in demand and is an established market in Canada. In addition, plant based protein products are growing in popularity. We are working on developing a set of tools and information and varieties that will enable farmers to grow more pulses in Quebec. We will also determine basic agronomic parameters that will maximize crop yield and minimize risk of crop failure.

View Full Project Description
Faculty Supervisor:

Valerio Hoyos-Villegas

Student:

TBD placeholder Thematic TBD

Partner:

Les Grains Haribec Inc.

Discipline:

Other

Sector:

Other

University:

McGill University

Program:

Accelerate

Increasing the Reliability of Design and Production of TMotion

Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors. In particular, Industrial Artificial Intelligence, referred to as the IAI, is positioning itself as the transformative technology of the century addressing key analytical challenges associated with conventional industrial process control solutions in dealing with availability of high variety, high dimensionality, and high velocity data. As competition is increasing in all industries and manufacturing sectors, industrial researchers, engineers, and the production managers are aiming to develop, design, and implement innovative technologies to optimally utilize such rich high-dimensional data sources to further improve the reliability and quality of their systems, processes and products. Industrial Internet of Things (IIoT) and IAI are revolutionizing the business sector to better understand, control, and optimize the entire production process. The proposed research program is envisioned in response to the above mentioned critical and unmet need for investigation and development of advanced smart system for increasing reliability and quality by minimizing the failure risk of a motion simulator system (TMotion) developed by Touché Technologies Inc.

View Full Project Description
Faculty Supervisor:

Farnoosh Naderkhani

Student:

Kamyar Azar;Mehrnaz Mirzaei;Hengameh Hadian

Partner:

Touché Technologies

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Previous
1…408409410411412413414…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe