Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

An advanced automated manufacturability analysis system for manufacturers

Currently, the service provided by GRAD4 allows buyers to upload their designs for quotes from the suppliers. However, there is no initial manufacturability check for buyers to evaluate their parts before submitting their quotes. Buyers may get feedback from the suppliers, which indicates that their parts are not able to be manufacturable after a several-days waiting period. In order to reduce the time waste of the communication between the buyers and suppliers and speed up the order process, an initial manufacturability checker is in demand. Based on this, the objective of this project is proposed 1) to investigate various approaches for automated manufacturability analysis 2) to implement the approach either in a software prototype or as a plugin for an existing online geometric modeling tool. Finally, the manufacturability system will be tested and validated based on the feedback from the users for GRAD4.

View Full Project Description
Faculty Supervisor:

Yaoyao Fiona Zhao

Student:

Partner:

GRAD4 Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Development of Next Generation High Entropy Alloy Coatings for Extreme Environments

The integrity and performance of hydraulic components in the maritime sector may be altered due to extreme environmental conditions that result in wear and corrosion. The industry in Canada spends around $0.92B per annum for maintenance (around 69% of GDP) to improve component service life. Therefore, materials that can sustain high life during extreme operating conditions are in demand. Next-generation advanced materials, known as high entropy alloys (HEAs), have gained attention of the scientific community by breaking the bottleneck of conventional alloy design strategy. These materials possess immense properties such as higher strength-ductility with significant wear and corrosion resistance than traditional alloy counterparts. This proposed research project will be structured to design and develop next-generation HEAs with the help of semi-autonomous cold-spray technology that can significantly contribute to sustainable industries through economic advancement. The next-generation HEAs coupled with cold-spray technology require detailed studies involving i) good correlations between the chemical compositions of the alloy and microstructure, microstructure and mechanical properties, and ii) where microstructure and wear/corrosion resistance will be established to understand the mechanisms of HEA coatings.

View Full Project Description
Faculty Supervisor:

André McDonald

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Advanced Manufacturing; Sustainability & the Environment

University:

University of Alberta

Program:

Accelerate

Can computer vision technology be employed for accurate, unobtrusive, non-invasive, objective measurement and quantification of maternal sleeping position across the third trimester of pregnancy in the home setting?

Recent research studies have pointed to sleeping on the back in late pregnancy as possibly increasing the risk of serious problems pregnancy such as low birth weight and delivering a baby that died in the womb (stillbirth). However, because it is impossible to completely and accurately recollect one’s body position while sleeping, these studies are limited because sleeping position was recollected by the participants rather than monitored and recorded by technology. Due to the lack of products to monitor and record sleeping position in pregnancy, this research project aims to determine whether artificial intelligence can be used to detect and record sleeping position in late pregnancy in the home without bothering the pregnant woman or her partner. By helping Shiphrah Biomedical Inc.’s (Toronto, Canada) Clinical Research Team develop a product for simple, botherless, and accurate detection and recording of sleeping position during late pregnancy in the home, this project will benefit researchers, healthcare providers, and patients in Canada and around the world.

View Full Project Description
Faculty Supervisor:

Elham Dolatabadi

Student:

Partner:

Shiphrah Biomedicals

Discipline:

Engineering

Sector:

Manufacturing; Retail trade

University:

University of Toronto

Program:

Accelerate

Monitoring forest cover and land use change in the Congo Basin under IPCC climate change scenarios. Applications to forest fragmentation and connectivity and potential impacts on Great Apes spatial and behavioral diversity.

The Congo Basin loses approximately 1 million hectares of forest per year as a result of human disturbance and climate change impacts. This forest loss leads to large scale changes in land cover patterns. The rate of these changes is expected to double in the future, as human population grows, and with increased global warming. Wildlife species, particularly endangered primates and large mammals are losing their behavioural diversity and the suitable habitats required for their survival, effects that are predicted to increase in the future. Despite these problems, research is limited in this area and mapping and quantitatively assessing changes in land cover and habitat suitability for most endangered species in this region is critical for their conservation. Moreover, predictions for future land use and wildlife habitat changes under various scenarios of climate change and human population is vital for preparing to address these issues. This project therefore aim at 1) generating accurate land cover maps for the Congo Basin, for the periods 1990-2020, and quantitatively assessing decadal changes in land cover patterns; 2) modeling and projecting these changes to the years 2050 and 2100 under various socioeconomic impact and climate change scenarios; TO BE CONTINUED.

View Full Project Description
Faculty Supervisor:

Sarah Turner;Damon Matthews

Student:

Partner:

World Wildlife Fund Canada (Montreal, QC)

Discipline:

Sociology

Sector:

Agriculture; Other services (except public administration)

University:

Concordia University

Program:

Accelerate

Impact des symptômes neuropsychiatriques sur le déclin cognitif et cérébral: une étude longitudinale sur une cohorte belge.

Ce travail vise à comprendre l’impact de certains symptômes appelés « neuropsychiatriques », comme la dépression ou l’apathie, sur le cerveau. Dans de nombreux cas de diagnostics, il semble que la dépression, l’anxiété ou l’apathie apparaissent plusieurs années avant les difficultés cognitives comme les troubles de la mémoire. C’est pourquoi nous nous intéressons à la manière dont ces symptômes neuropsychiatriques pourraient fragiliser le cerveau et induire un risque supplémentaire de développer des troubles cognitifs plusieurs années plus tard. Pour cela, nous disposons de nombreux examens cliniques de personnes saines et de personnes ayant un diagnostic de troubles légers ou de maladie d’Alzheimer par exemples. Parmi ces examens, les évaluations neuropsychiatriques et les imageries du cerveau que nous analyserons permettront de comprendre les modifications cérébrales en lien avec les symptômes neuropsychiatriques, et la manière dont ces modifications fragilisent le fonctionnement cognitif des individus.

View Full Project Description
Faculty Supervisor:

Alexandru Hanganu

Student:

Partner:

Université de Liège

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Centre for Operations Excellence Summer Internship Cluster 2013

The COE Summer Internship Cluster consists of seven sub-projects sponsored by six different industry partners. Each sub-project represents an important challenge for its sponsor. These subprojects include understanding predictors of service variation and of return-to-work outcomes within the Physiotherapy program at WorkSafeBC; scheduling at Tree Island Industries; optimization of work flow for a set of activities for Telus; developing a technique for calculating and visualizing flight delay risk based on an analysis of data on past flight disruptions for AeroInfo; scheduling home care nurses and allied health professionals for Fraser Health; developing a simulation model of portering operations at a Fraser Health hospital to test the consequences on service delivery associated with centralizing or decentralizing; and analysing passenger movement through YVR airport in order to identify problem areas where passenger processing time can be reduced.

View Full Project Description
Faculty Supervisor:

Derek Atkins

Student:

Partner:

Boeing Vancouver (Richmond, BC);WorkSafeBC (Vancouver, BC);Fraser Health Authority;Vancouver International Airport;Tree Island;TELUS (Scarborough, ON)

Discipline:

Business

Sector:

Health and Related Sciences & Technology; Information and cultural industries; Manufacturing; Professional, scientific and technical services; Transportation and warehousing

University:

The University of British Columbia

Program:

Accelerate

Smart Brush for Cattle

Cattle in commercial farming systems are highly motivated to use brushes to perform grooming and improve coat cleanliness. A change in brushing behavior may also serve as an early indicator of health and welfare problems. Farmers often provide rotating motorized brushes for cows but the currently available devices do not collect any data on which animal is using them and for how long, limiting the use of brushing behavior to inform management decisions. This project aims to develop and validate a smart brush that gives information on individual- and group-level brush use and can be used on commercial farms to integrate brushing behavior with other on-farm data to improve animal welfare.

View Full Project Description
Faculty Supervisor:

Daniel Weary;Marina von Keyserlingk

Student:

Partner:

Artex

Discipline:

Life Sciences

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Greenland shark bycatch mortality and mitigation in Canadian Arctic fisheries

Accidental fisheries catch ? or bycatch ? is a critical issue for conservation and fisheries management. Greenland sharks are a common bycatch in northern fisheries and are of concern because they are long-lived and may be vulnerable to overfishing. The proposed research addresses current data gaps related to Greenland shark bycatch through the following objectives: 1) Measure how many sharks survive encounters with fishing gear to estimate fisheries mortality rates; 2) Explore seasonal movements of Greenland shark throughout the region; and 3) Analyze fisheries data to identify patterns in shark bycatch rates over time. We will use electronic tags to measure shark bycatch survival and monitor seasonal habitat use. Fisheries catch data will be analyzed to examine when/where sharks are most often caught. Results from these objectives will help discover the impact of fisheries on Greenland sharks and identify ways to reduce fishing gear encounters with this vulnerable Arctic predator.

View Full Project Description
Faculty Supervisor:

Nigel Hussey

Student:

Partner:

Nunavut Fisheries Association

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Navigating the unseen: developing robotic “Bee” vision

Support the deployment of a custom UV camera for field operation on a drone. The UV camera is specific to our research project and was already used for crop monitoring in a fixed setup. The drone to deploy the camera is designed and manufactured by a partner organization, which will provide all the required design files to integrate the new device. The integration requires both hardware work and software work. The drone enclosure must be adapted to fit the camera sensors and cables. A ROS (Robotic Operating System) node for the camera image capture and process will be implemented based on project’s previous works (segmentation from thresholding and machine learning algorithm). The intern will learn Python scripting in ROS for the project and refine mechanical design based on feedback. Student will observe drone testing and data collection to further refine mechanical and script design. Expected outcomes include data analysis in field, data collection from field flight, a design document, brief presentation to Montreal team, and a final report.

View Full Project Description
Faculty Supervisor:

David St-Onge

Student:

Partner:

Rochester Institute of Technology

Discipline:

Engineering

Sector:

Agriculture and Food; Technology; Aerospace

University:

École de technologie supérieure

Program:

Globalink Research Award

Automatisation et validation du consentement dans un système de gestion des autorisations

Ce projet s’intéresse au développement d’une application de gestion d’une identité numérique pouvant faire des signatures numériques et applicable sur un formulaire de consentement électronique à des fins médicales. L’objectif principal consiste à définir et mettre en œuvre un cadre de gestion des identités numériques à multiples facettes. Ceci permettra d’éliminer le besoin de présence physique dans des cadres de recherche médicale sans toutefois compromettre l’intégrité et la non-répudiation des processus d’identification, d’authentification et d’autorisation. Une emphase est placée sur le contrôle de l’identité par son utilisateur sans restreindre la flexibilité, interconnectivité et les applications de cette identité au sein d’un système. Une méthodologie scientifique est proposée, composée d’une étude d’état de l’art est proposée, suivi d’une proposition, implémentation, intégration, expérimentation, analyse et recommandation.

View Full Project Description
Faculty Supervisor:

Nora Cuppens-Boullahia;Frédéric Cuppens

Student:

Partner:

Kelvin Zero

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

Improving Effective Collaboration Between Sponsorship Agreement Holders (SAHs), Constituent Groups (CGs) and Co-Sponsors in Canada’s Private Sponsorship of Refugees Program (PSR)

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them to do this humanitarian work, building effective systems of collaboration between all sponsors is important. The research findings will assist the CUC and other SAHs across Canada to improve effective collaboration among sponsors, and in doing so, maximize limited resources.

View Full Project Description
Faculty Supervisor:

Luisa Schwartzman

Student:

Partner:

Canadian Unitarian Council

Discipline:

Sociology

Sector:

Other services (except public administration); Public administration

University:

University of Toronto

Program:

Accelerate

Parallel multibody solver coupling algorithms

This project concerns the efficient simulation of constrained-multi body systems with applications in training simulations. For instance, a crane on a construction site can be modeled and simulated as a collection of rigid bodies connected by rotational joints. Simulation of contact and friction is similar but a challenge because the force is bounded (i.e., forces are not allowed to act like glue and can only push objects apart). When there are large numbers of bodies in a simulation, with many frictional contacts, these systems can be challenging to
solve. In this work, we allow the systems to be partitioned, solved in parallel, and then coupled with a solve of the interface forces. This work specifically aims to improve the efficiency of this interface solve, with the main benefit being that much larger training systems can be solved both accurately, and at speeds that are useful for interactive training simulations.

View Full Project Description
Faculty Supervisor:

Paul Kry;Sheldon Andrews

Student:

Partner:

CMLabs

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Previous
1…1,6831,6841,6851,6861,6871,6881,689…2,635
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe

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.