Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Employment of alternative in vivo cancer models for oncology preclinical investigations

The clinical translation of innovative oncology treatments can be boosted by the establishment of alternative in vivo models based on the chick chorioallantoic membrane. In this project, a biomodel based on commercial cancer cell lines, such as hepatocellular carcinoma, will be established and characterized by standard biological assays. The biomodels will be employed for the efficacy evaluation of novel treatment approaches including hybrid nanomaterials.

View Full Project Description
Faculty Supervisor:

Gang Zheng

Student:

Partner:

Università Degli Studi Di Genova

Discipline:

Life Sciences

Sector:

Biotechnology; Health and Related Sciences & Technology; Nanotechnology

University:

University of Toronto

Program:

Globalink Research Award

Developing and Delivering Resources to support the Transition to Sustainable Craft in Unama’ki: Cape Breton

This research will explore ways the craft sector in Unama’ki: Cape Breton can adapt to become more sustainable. That exploration will inform the development of visually engaging resources and reports that will be shared broadly with artists, craftspeople, and others in the craft and culture sector.?This will include a toolkit, map of resources for craftspeople, an academic report, and formal presentation materials.
This work is part of our ongoing Sustainable Craft program, in which we focus on craft materials, practice(s), and the life cycle of craft products. We are engaging in solutions-oriented work to identify small-scale, grassroots, and community-based approaches to support the sustainable development of the Island’s craft and creative sector.
This project will empower the organization to better support craftspeople and professional artists in transitioning to more durable, sustainable, and ethical practices. It will also enable the organization to support other craft and related organizations to develop more sustainable operations and support sustainable craft in their communities.

View Full Project Description
Faculty Supervisor:

Jennifer Green;Kate Kish

Student:

Partner:

Cape Breton Centre for Craft & Design, Cape Breton School of Crafts

Discipline:

Sociology

Sector:

Education

University:

Cape Breton University; Nova Scotia College of Art & Design University

Program:

Accelerate

Automated Anomaly Detection in Energy Consumption Data using Data Mining and Machine Learning Techniques

The Ontario government recently mandated electric and natural gas utilities provide easy access to energy usage data so consumers can access energy-saving services in a competitive market. However, there has been no analysis of how well utilities have implemented Green Button. More specifically, are regulatory requirements being met, and is data accurate, complete, consistent with other available sources? This lack of scrutiny imperils Ontario’s efforts to decarbonize its economy because poor-quality data can inhibit clean energy solutions such as energy management, demand response, and virtual power plants. This project is the first to evaluate Ontario’s energy usage, billing, and account data quantitatively/qualitatively from utilities to benchmark performance. This project seeks to minimize resource use and time by employing a mixed-method machine learning approach, i.e., semi-supervised learning. The findings from this study will apply to other Canadian provinces.

View Full Project Description
Faculty Supervisor:

Francis Palma

Student:

Partner:

Screaming Power

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Developing a physically-based, geomorphic model to evaluate the probability of pipeline exposure at stream crossings

There are currently tens of thousands of locations throughout North America where pipelines cross stream channels. At these locations, instability of the stream bed and banks poses a serious risk to pipeline infrastructure, and has the potential to cause environmental harm. The objective of this internship is to improve the numerical models used to monitor the risk of channel instability associated with a range of flood magnitudes; currently the models don’t quantify the likelihood of the channel bed becoming mobile, and fail to consider the reach-scale processes of channel stability in a mechanistic manner. The model will be driven with data already collected at thousands of site surveys, and used as a screening tool to determine which sites are most vulnerable to pipe exposure, and therefore require more detailed field assessment. Based on the input variables required in the model, we will also develop a standardized field protocol to improve and focus data collection at future site assessments.

View Full Project Description
Faculty Supervisor:

Brett Eaton

Student:

Partner:

BGC Engineering Inc (BC)

Discipline:

Physics

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Multi-Modal Kernels: Prompting MM-LLMs to Yield Controllable Semantic Similarity Functions

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

View Full Project Description
Faculty Supervisor:

Reihaneh Rabbany;Adriana Romero Soriano

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Utilisation de l’IA et du Big Data dans un environnement IoT pour les appareils urbains intelligents

La croissance rapide des villes et la demande croissante de services urbains efficaces et durables posent des défis importants aux gestionnaires municipaux. Les appareils urbains intelligents, tels que les lampadaires, les poubelles, les bornes de recharge, etc., sont des éléments clés pour améliorer la qualité de vie des citoyens et optimiser les ressources urbaines. Cependant, ces appareils génèrent une grande quantité de données qui doivent être traitées, analysées et utilisées de manière intelligente pour soutenir la prise de décision et l’adaptation dynamique des services. Le projet de recherche vise à exploiter les données des appareils urbains intelligents dans l’Internet des objets (IoT) en utilisant l’intelligence artificielle (IA) et le Big Data. Cette recherche proposerait des méthodes pour collecter, analyser et utiliser efficacement ces données, en utilisant des techniques d’IA telles que l’apprentissage automatique. L’objectif est d’optimiser les services urbains et d’améliorer la qualité de vie des citoyens ainsi qu’à fournir des informations utiles aux décideurs et aux utilisateurs finaux, en s’appuyant sur une solution infonuagique, contribuant ainsi à l’atteinte des objectifs de développement durable (SDG) numéro 11 : Villes et Communautés Durables.

View Full Project Description
Faculty Supervisor:

Julien Gascon-Samson

Student:

Partner:

Humanity-Tech

Discipline:

Computer science

Sector:

Information and cultural industries

University:

École de technologie supérieure

Program:

Accelerate

Developpement d’un agent de contraste pour l’imagerie In Vivo et Ex Vivo

L’imagerie micro-CT (pour micro-Computer Tomography) est une methode d’imagerie 3D non-destructive permettant d’observer la structure interne d’un corps biologique. La methode se sert des rayons X afin d’effectuer une multitude de prises d’images en 2D qui seront traitees par ordinateur afin d’obtenir une image 3D du systeme d’interet. Cependant, la methode necessite la presence d’atomes lourds qui sont naturellement absent dans un corps biologique. L’utilisation d’agent de contraste est ainsi necessaire afin d’effectuer les imagerie micro-CT. Ces agents de contraste sont plus souvent prepares a base d’iode ou de bismuth.
Le projet ici present s’interesse a developper un agent de contraste derive de la vitamine E et contenant de l’iode en tant qu’agent de contraste. II s’agira notamment de modifier la formulation d’un des produits commerciaux de !’organisation partenaire afin d’ameliorer ses proprietes d’absorptions ainsi que son temps de residence afin d’ameliorer ses proprietes en tant qu’agent de contraste.

View Full Project Description
Faculty Supervisor:

William Skene

Student:

Partner:

MediLumine Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Pondération dynamique de modèles prédictifs à court terme de la charge sur le réseau électrique du Québec – Extension

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

View Full Project Description
Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Hydro-Quebec

Discipline:

Computer science

Sector:

Energy and Utilities; Artificial Intelligence; Information and Communications Technology

University:

Université de Montréal

Program:

Accelerate

Computational Analysis of the use of Boron Clusters for the Depolymerization of Polyethylene

The intern will travel to the University of Jyväskylä’s Department of Chemistry, where they will be hosted in the group of Prof. Heikki M. Tuononen. The principal investigator host is a computational chemist of international recognition, University of Calgary alumnus, and longtime collaborator of Prof. Roland Roesler, the host in University of Calgary’ Department of Chemistry. Building on this fruitful contribution, the intern will learn computational chemistry, which is a branch of chemistry that uses computer simulations to assist in solving chemical problems. It employs algorithms and theoretical principles from chemistry, physics, and computer science to predict the structures, properties, and behaviors of molecules and materials. This allows the exploration of potential outcomes of chemical reactions, the design of new molecules with targeted properties, and gaining insights into the fundamental nature of chemical processes, all in a virtual environment. The object of the investigation will be specific boron clusters, which will be assessed as supports for catalysts for polyethylene degradation for the purpose of recycling. Boron clusters are polyhedral structures made up of boron atoms that are known for their unique chemical properties, including high thermal stability and the ability to attach to metals and forming complex structures.

View Full Project Description
Faculty Supervisor:

Roland Roesler

Student:

Partner:

Jyväskylän yliopisto

Discipline:

Physics

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Chemical Looping for Electric Arc Furnace (Steelmaking) Decarbonization

This project will investigate the feasibility of applying fixed-bed chemical looping as a technology for off-gas cleanup and heat recovery from a conventional steelmaking process. Investigation will consist of thermodynamic studies and material selection, numerical investigation of system dynamics using a specialized process model, and experimental investigation for a bench-scale proof of concept. Experimental results will support improvements to the process model to allow for better scaling, supporting the potential development of pilot-scale facilities. At the full scale this can offer up to a 30% reduction in energy intensity. Collaboration will support the development of a new lab apparatus in Canada for steelmaking research and other applications. In the United Kingdom the work will support ongoing research with an international project to reduce steelmaking emissions.

View Full Project Description
Faculty Supervisor:

Michael Pegg;Jan Haelssig

Student:

Partner:

University of Manchester

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Operational runoff prediction during rain-on-snow in the Coast Mountains of British Columbia

Rain-on-snow events, where rain falls on pre-existing snow, cause some of the highest peak flows in mountainous coastal regions, such as Southwestern British Columbia. Operational hydrologists have a difficult time predicting runoff during these events because of an incomplete knowledge of the energy fluxes into and within the snowpack over large areas, and because of an incomplete knowledge of which areas of a watershed have snow coverage and which do not. This project will investigate the energy fluxes that govern rain-on-snow melt with a goal of determining a simplified method for predicting runoff. Additionally it will investigate the use of satellite snow cover measurements in a hydrologic model to improve prediction accuracy via a better knowledge of the initial conditions prior to the onset of rain-on-snow

View Full Project Description
Faculty Supervisor:

Dan Moore

Student:

Partner:

BC Hydro (Burnaby, BC)

Discipline:

Earth science

Sector:

Utilities

University:

The University of British Columbia

Program:

Accelerate

Étude de l’électrocatalyse de l’oxygène sur le graphène avec caractérisation par FTIR in-situ

Les objectifs de ce projet sont de réaliser des mesures électrocatalytiques de la réaction de réduction de l’oxygène sur des substrats d’électrodes à base de graphène. La réduction de l’oxygène est une réaction fondamentale dans les piles à combustibles et les batteries air-métal. Les catalyseurs de pile à combustible de pointe utilisent des nanoparticules de Platine chargées de carbone, car le platine permet de lier fortement les atomes d’oxygène tout en évitant de libérer l’eau du substrat.
L’enjeu principal de la recherche de nouveaux matériaux est de régler finement la force d’interaction entre l’oxygène et l’électrode. Pour cela, une bibliothèque de graphène et de nanomatériaux (bi)métalliques va être développée. Ces deux classes de matériaux (graphène et nanoparticules bimétalliques d’or) ont été choisies intentionnellement en raison de leur grande adaptabilité à la réaction de réduction de l’oxygène. De cette façon, il sera possible de comparer l’activité des matériaux individuels à celle de leurs hybrides. Différentes méthodes seront utilisées pour mesurer l’activité électrocatalytique des matériaux nouvellement fabriqués comme la voltampérométrie cyclique et hydrodynamique et leur activité sera corrélée avec la caractérisation chimique et structurale, y compris la (micro)spectroscopie vibrationnelle (Raman et infrarouge), la microscopie électronique à balayage et les mesures d’adsorption de N2.

View Full Project Description
Faculty Supervisor:

Joshua Byers

Student:

Partner:

Université de Lorraine

Discipline:

Engineering

Sector:

Education

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Previous
1…754755756757758759760…2,543
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.