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

Highly active N-heterocyclic carbene-functionalized metal nanoparticles for CO2 fixation

Climate change has become a major concern over the past decades. In this context, one of the biggest issues is the amount of carbon dioxide (CO2) produced every year around the globe. In response, researchers have discovered creative solutions to recycle CO2 via a process commonly known as CO2 fixation. More recently, the use of CO2 as a C1 feedstock for the N-methylation of amine groups using a hydrogen source has emerged as an attractive avenue. Typically, methylation chemistry requires the use of toxic methylating reagents such as methyl iodide, formaldehyde, formic acid derivatives or dimethyl carbonate. Besides, the abundance of CO2 as C1 feedstock makes great advances toward a greener and safer methylation chemistry. However, for this reaction to be efficient and profitable, the use of a catalyst is critical. Metallic nanoparticles, more specifically gold- and silver nanomaterials, have attracted significant interest in the past decade as active materials for catalyzing numerous well-known reactions such as Suzuki, Heck or Sonogashira coupling reactions. Herein, we aim to develop normal and mesoionic NHCs-stabilized AgNPs and AuNPs and investigate their catalytic activities toward N-methylation of amines using CO2 and a hydride source. We expect to get TOBECONT’.

View Full Project Description
Faculty Supervisor:

Ali Nazemi

Student:

Partner:

University of Central Florida

Discipline:

Physics

Sector:

Nanotechnology; Environmental Science and Technology; Sustainability & the Environment

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Code F (stage 2) FSA UL

Dans un contexte de pandémie causée par la Covid-19, l’entreprise Code F. se doit d’opérer un pivot de son modèle d’affaires afin d’adapter ses solutions aux besoins de la clientèle et de sa communauté. Ce pivot de modèle d’affaires se traduisant par un virage technologique et numérique d’une entreprise d’économie sociale, ainsi que par une adaptation de l’offre de service de l’organisation, le stagiaire devra réaliser une analyse stratégique afin d’aider l’organisation à adapter ses activités et solutions dans le contexte actuel de pandémie (et pour le futur) et pour effectuer son virage numérique et technologique.

View Full Project Description
Faculty Supervisor:

Margaret Schomaker

Student:

Partner:

Code F

Discipline:

Business

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

Université Laval

Program:

Business Strategy Internship

Venture Analyst Intern

The Venture Analyst Intern researches markets to understand evolving customer needs, market size, trends, and competition. They work closely with Product Management and Business Development Managers to understand how our individual customer’s needs relate to broader market needs to help us build products that will achieve broad market success.

View Full Project Description
Faculty Supervisor:

Michael Maier

Student:

Partner:

AltaML

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta

Program:

Business Strategy Internship

5G-ELITE: AI-driven 5G Network Slice Operations & Management

5G mobile networks will support a wide range of services beyond traditional voice and data services, such as augmented/virtual reality, autonomous vehicle control, and smart cities, which will open new revenue streams for the mobile network operators. Network slicing is an enabling technology for partitioning the physical network into multiple network slices, each tailored to accommodate the requirements of these diverse services on the same physical network. As 5G networks are being deployed, effective performance and fault management for network slices is becoming increasingly important to the network operators. However, for large network operators like Rogers, traditional reactive human-in-the-loop management approaches cannot cope with the diverse, and stringent 5G service requirements. We propose an automated and proactive approach to network slice management, building on the advances in AI, ML, and large-scale data processing. The proposed research has great potential to materialize in Rogers Communications’ 5G networks, increasing their industrial competitiveness.

View Full Project Description
Faculty Supervisor:

Raouf Boutaba;Nashid Shahriar;Raouf Boutaba

Student:

Partner:

Rogers Communications Inc.;University of Waterloo

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Regina; University of Waterloo

Program:

Accelerate

Comparative Genomics Study to Identify Genes and Pathways Controlling Reproductive Longevity in Mammals

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In livestock, RL of female breeders is a key productivity factor, especially for dairy cows. The genes that determine RL in humans are potential sources of diagnostic and therapeutic innovations for fertility and reproductive health. The proposed research aims to identify RL-controlling genes in mammals using a unique model system, selectively-bred mouse lines that reproduce twice as long and have twice as many litters as matched control lines. The project Partner, Performance Genomics Inc. (PGI), is applying whole genome mapping and sequencing technologies sourced through service laboratories to generate complete genomic datasets for the select and control mice. The internship project will apply bioinformatics tools and approaches to “mine” the RL Mouse genomics data with the goal of selecting and ranking candidates for genes and mutations responsible for doubling of RL in the mouse.

View Full Project Description
Faculty Supervisor:

Robert Beiko

Student:

Partner:

Performance Genomics Inc

Discipline:

Computer science

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Advancing sustainable management of construction, renovation and demolition (CRD) waste

The waste generated from construction, renovation and demolition (CRD) activities accounts for around 27% of all waste generated in Canada. The large amount of CRD waste which could be prevented or recycled is sent to landfill without utilization, resulting in environmental problems and waste of resources. The aim of project is to provide the best management practices and policy recommendations for CRD waste management in Montreal West. The outcome of this study is expected to be used for supporting the strategic planning of CRD waste management to achieve sustainable development in Montreal West. The city of Montreal West will be able to make an informed decision when updating its residual materials management strategy, taking into account the life cycle of CRD residues.

View Full Project Description
Faculty Supervisor:

Chunjiang An

Student:

Partner:

Ville de Montréal-Ouest

Discipline:

Engineering

Sector:

Public administration

University:

Concordia University

Program:

Accelerate

Improved solid and liquid precipitation products with the Canadian Precipitation Analysis (CaPA) system using ground-based and space-based observations

Accurate and high-resolution analysis of precipitation accumulation is of primary importance for hydrological and meteorology applications. In the last decade, the Canadian Precipitation Analysis (CaPA) system has been developed and implemented at Environment and Climate Change Canada (ECCC)’s Meteorological Service of Canada (MSC). The goal of this project aims to improve CaPA by including adjusted solid precipitation, radar and satellite information to the system. This will be conducted using ECCC stations equipped with an all-weather precipitation system, the radar network to infer the snowfall rate from the reflectivity field as well as the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG). An optimal assimilation scheme of these three data sources will be identified at the end of the project, with the potential for an improved operational CaPA product that will benefit water management users.

View Full Project Description
Faculty Supervisor:

Julie Thériault

Student:

Partner:

Manitoba Hydro

Discipline:

Physics

Sector:

Professional, scientific and technical services; Utilities

University:

Université du Québec à Montréal

Program:

Accelerate

Gestion durable des eaux pluviales en milieu urbain

L’objectif des travaux de recherche entrepris lors du séjour à l’étranger est de de mieux comprendre comment le contrôle en temps réel du réseau de drainage (contrôle intelligent des infrastructures de drainage) influence la conception des ouvrages de contrôle à la source (comme les infrastructures vertes visant à faciliter l’infiltration et l’évaporation de l’eau pluviale plutôt que son ruissèlement) à l’échelle du bassin versant pour les réseaux d’égout unitaires et pour les réseaux pluviaux séparés. Dans le premier cas, les solutions étudiées visent à réduire les surverses d’eaux usées et dans le deuxième cas, ces technologies permettent à la fois de soutenir l’approvisionnement en eau potable, mais également de favoriser la rétention prolongée des eaux pluviales et la restauration du débit de base dans les cours d’eau urbains. Les résultats attendus sont de mieux comprendre les similitudes et les différences entre les performances pouvant être atteintes selon le type de réseau d’égout, le type de technologie et les objectifs de gestion utilisés.

View Full Project Description
Faculty Supervisor:

Sophie Duchesne

Student:

Partner:

The University of Melbourne

Discipline:

Engineering

Sector:

Education

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Generative models for controlled generation of synthetic sequence-based datasets

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights into their data. In this project we will use recent developments from the field of generative modeling to design a system which can create synthetic datasets which are nearly indistinguishable from the true data they are mimicking, while not exposing information which must be kept private. In addition to making it easier for Verafin to collaborate with external parties, another benefit is Verafin can use the synthetic data to create more realistic product demonstrations for potential clients.

View Full Project Description
Faculty Supervisor:

Yuanzhu Chen;Ting Hu;Antonina Kolokolova

Student:

Partner:

NASDAQ Canada Inc

Discipline:

Computer science

Sector:

Finance and Insurance; Health and Related Sciences & Technology; Information and Communications Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

Her Own Boss! Bridging Settlement and Economic Security for Visible Minority Newcomer Women in BC

HOB! is a community-based action research project with the aim of supporting visible minority newcomer women (VMNW) in starting entrepreneurial businesses. The research objectives of the project include identifying challenges and opportunities that VMNW face in the business environment of Canada. Moreover, this research will provide suggestions for improvement of employment and self-employment services for immigrant women. The Women’s Economic Council (WEC) will benefit from this research project by learning more about a) the challenges and strengths of VMNW in their paths towards self-employment, b) the challenges and strengths of local self-employment service providers, and c) best practices in providing training and support service to VMNW that helps them move towards their economic empowerment.

View Full Project Description
Faculty Supervisor:

Hongxia Shan

Student:

Partner:

Women’s Economic Council;Eureka Research Group Ltd

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

A Community Needs Assessment of Fetal Alcohol Spectrum Disorder in Newfoundland and Labrador

Fetal alcohol spectrum disorder (FASD) is a lifelong disorder caused by prenatal exposure to alcohol that impairs cognitive, behavioural, social, and emotional development. It is the leading preventable developmental disability in Canada, impacting an estimated four percent of the general population, with higher rates among certain vulnerable groups. Newfoundland and Labrador has the highest rates of heavy drinking in Canada, which elevates the concern associated with this issue and the need for research into FASD in the province. This project comprises a comprehensive, systematic community needs assessment using a mixed-methods approach. Data will be collected through surveys and focus groups with local service providers and stakeholders, including families and individuals directly impacted by FASD, regarding the observed and expected need for FASD resources in NL. This research will identify existing capacity and gaps in knowledge, services, and supports, and inform the development of collaborative, multidisciplinary strategies to address FASD.

View Full Project Description
Faculty Supervisor:

Adrienne Peters

Student:

Partner:

fasdNL

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Memorial University of Newfoundland

Program:

Accelerate

Reduction of Software Rework Through the Mitigation of Cognitive Biases

The proposed work will lead to mechanisms for reducing the negative effects of Cognitive Biases – automatic, unconscious elements of the human reasoning system known to cause decision errors. While the outcomes of Cognitive Biases have been studied for decades, there has been almost no research into how to reduce or eliminate their negative effects. The end goal of the proposed work is a suite of mechanisms that reliably, simply and cost-effectively accomplish such ‘de-biasing’ in a workplace setting. The focus for the proposed work is the software engineering industry, where high defect rates are endemic and proven to be highly resistant to technology-based mitigation; we believe that focusing on the psychology of the human beings that create these defects will bring a new kind of mechanism to bear on this most problematic situation.

View Full Project Description
Faculty Supervisor:

Philippe Kruchten

Student:

Partner:

Clarrus Consulting Group Inc

Discipline:

Computer science

Sector:

University:

The University of British Columbia

Program:

Accelerate