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

Effects of Cattle Grazing Intensity on Soil Nematode Communities in Wet Meadow Rangelands

Rangelands store carbon, regulate water, and conserve biodiversity. This research will study the effect of cattle grazing on wet meadow rangelands and their soils. Specifically, this project will measure the effect of changes in plants on soil nematodes. Soil nematodes are important in the cycling of nutrients and carbon and help sustain soil health. We will use surveys of soil nematodes to measure the changing function of soil food webs following grazing. Using a long-term grazing experiment in a wet meadow rangeland in Manitoba, we will test how communities of nematodes change following grazing and what these changes mean for the function of rangeland soils. Findings from this research will help with the sustainable management and conservation of wet meadow rangelands in western Canada.

View Full Project Description
Faculty Supervisor:

Rafael Otfinowski

Student:

Partner:

Manitoba Beef and Forage Initiatives Inc.

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Winnipeg

Program:

Accelerate

STREAMS Plus – Technologies pour les Systèmes inTelligents pour la gestion theRmique haute EfficAcité de la Microélectronique avancée (Smart Technologies for

Dans notre société numérique connectée, l’équipement électronique consomme une quantité importante d’énergie, dont environ la moitié est dédiée au refroidissement essentiel pour le maintien des performances. Le but du projet ‘STREAMS Plus’ est de développer une solution de gestion thermique adaptative pour maintenir la performance des dispositifs et systèmes microélectroniques à leur meilleur, tout en répondant aux défis futurs d’intégration et de puissance. Des modules compacts à haute puissance sont de plus en plus en demande pour l’informatique embarquée, l’intelligence artificielle et le 5G, mais leur refroidissement est une limitation majeure.

View Full Project Description
Faculty Supervisor:

Luc Fréchette;Serge Charlebois;Serge Ecoffey;Julien Sylvestre;Dominique Drouin

Student:

Partner:

Centre de Collaboration MiQro Innovation (Bromont, QC)

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Scaling Security Architecture

Security has become increasingly important as cyberattacks are more prominent. Despite advances in security technologies there’s still a need for a new security architecture that is simply adaptable and scalable to different and evolving security requirements of various organizations. This project will study the latest technologies and solutions in the field of Cybersecurity that are being used to design scalable cybersecurity frameworks. We will also look at the new technologies and processes that are disrupting the existing Cybersecurity landscape. We will study the Cybersecurity solutions and infrastructure being used by different organizations and build Return on Investment (ROI) models to measure their effectiveness in scaling with an everchanging threat landscape.

View Full Project Description
Faculty Supervisor:

Xiaodong Lin

Student:

Partner:

Georgian

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

University of Guelph

Program:

Accelerate

Développement et adaptation de la grille de facteurs pronostiques à la psychothérapie pour les adultes consultant en clinique privée

Le projet vise à développer une version adaptée à une clientèle d’adultes consultant en clinique privée d’une grille permettant d’établir si l’individu présente des caractéristiques qui pourraient compromettre son suivi en psychothérapie. Une telle grille permettrait de mieux outiller les professionnels et de les aider à orienter les clients qui se présentent pour recevoir des services de psychothérapie. Elle permettrait également d’identifier et de nommer au client quels facteurs il a à travailler pour être en mesure de bien profiter d’une telle démarche.

View Full Project Description
Faculty Supervisor:

Claudia Savard;Dominick Gamache

Student:

Partner:

Centre de Psychologie Québec

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université Laval

Program:

Accelerate

Making the Business Case for Using Development Cost Charges for Climate Mitigation

Many communities across Canada are addressing global climate change by reducing local
greenhouse gas (GHG) emissions and are looking for innovative and cost-effective tools to
assist their climate mitigation efforts. Development cost charges (DCCs) are monies that local
governments collect from developers to recoup some of the infrastructure-related costs
resulting from new development. A DCC for climate mitigation has strong potential to be an
effective way for local governments to offset the costs of reducing emissions. This project
makes the business case for a climate mitigation development cost charge by demonstrating
its practical application using the West Clayton neighbourhood in Surrey, British Columbia as
a case study. The City of Surrey intends to use this project to generate support for expanded
authority from the province that will allow local governments to charge a climate mitigation
DCC

View Full Project Description
Faculty Supervisor:

Tim McDaniels

Student:

Partner:

City of Surrey

Discipline:

Sociology

Sector:

Public administration

University:

The University of British Columbia

Program:

Accelerate

Detection of enumeration attacks in cloud environments using infrastructure log data

Most computer services nowadays are provided in cloud environments. Inevitably, every individual needs to use these environments when they have to use computer services. Considering cyber threats in the cloud infrastructure, security and privacy conservation of one is really challenging. Out of date techniques are no more executable in these infrastructures. However, machine learning algorithms due to capable of handling massive data, are effective on this theme. In this project, we proposed machine learning algorithms to detect threats in the cloud environment. A basic user-friendly dashboard is developed for security analysts to conveniently monitor detected threats by this system. eSentire could benefit from this project by protecting its own customers owing to having state-of-the-art security solutions.

View Full Project Description
Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

eSentire

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

University of Guelph

Program:

Accelerate

Classification and Anomaly Detection of Network Traffic at the edge using Transfer Learning

Anomaly network traffic threat detection has been used in many companies to detect threats. Usually, it is deployed on-premises for efficiency and privacy reasons. Anomaly detection system usually consists of a machine learning algorithm that needs tons of time to train and test. Because each company may have different network setup, it is hard to build one system that suits for everyone. So, we need to customize the system for each client. Nevertheless, it is very inefficient to retrain the algorithm from zero for each company. Therefore, we hope to prove that by using transfer learning, we can move the knowledge from an existing detection system to a new network environment without retraining the whole algorithm.

View Full Project Description
Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

eSentire

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Other

University:

University of Guelph

Program:

Accelerate

A multi-cultural comparative study into the influence national level variations have on desistance from crime

The study of desistance – researching how and why people refrain from criminal behaviour – has gained increasing attention from both academics and policymakers in recent years in many countries throughout the world. Yet despite the growing strategic importance of more comprehensively understand the processes of desisting to reduce national reoffending rates, there remains a significant gap in empirical literature which comparatively explores the impact national-level practices and structural divergence has on desistance from crime. Therefore, this research project will examine key factors impacting individual’s desistance found in a variety of mono-cultural studies through a multi-cultural, comparative project of Scotland and Québec (a province of Canada). By doing so, this project will explore how national level characteristics and processes, societal institutins, cultural and religious beliefs and economic systems shape processes of desistance from crime. This will enable a more informed understanding of what national level variations support and inhibit individual’s ability to not refrain from future offending behaviour.

View Full Project Description
Faculty Supervisor:

Isabelle F.-Dufour

Student:

Partner:

University of Stirling

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Education; Life Sciences (not health)

University:

Université Laval

Program:

Globalink Research Award

Water Quality and Waste-Solids Dewatering at a Zero-Exchange Recirculating Aquaculture System

To meet growing demand, the aquaculture industry is building increasingly larger land-based farms. There are few locations which can provide enough fresh water for their operation and the industry is forced to reduce its water requirements further by modifying recirculating aquaculture systems (RAS) to incorporate zero-exchange technology. Cooke Aquaculture Inc. is currently constructing a zero-exchange RAS at Johnson Lake, located in Pennfield, New Brunswick to produce salmon parrs. This facility will be the first of its kind in the Americas. This research focuses on two possible problems which may arise with the new system. The first problem is with regards to the possible accumulation of waste metabolites in the water. A water quality monitoring program will be implemented throughout the first production cycle, and any accumulations will be remediated as they begin to arise. A model to predict nitrogen and phosphorus concentrations in the waste stream based on feed loading and measured equipment efficiencies will also be developed for optimization purposes. The second problem deals with the dewatering of waste solids generated in the system. The effectiveness of a centrifuge will be evaluated, first using lab-scale tests to optimize polymer dosing, then applying the lab-scale findings to an industrial centrifuge.

View Full Project Description
Faculty Supervisor:

Michel F Couturier

Student:

Partner:

Kelly Cove Salmon Ltd

Discipline:

Engineering

Sector:

Agriculture; Manufacturing

University:

University of New Brunswick

Program:

Accelerate

Tetraquarks and Quantum Computing

We will perform a computational calculation to determine the properties of a proposed, currently unobserved type of particle called a tetraquark, within our current understanding of particle physics. This will allow experimentalists to search for such particles, and provide tests of our theory (Quantum Chromodynamics), which we currently find to be in agreement with observations. We will also investigate new techniques for performing similar calculations in future on a new type of computer, a quantum computer, which is currently in development and provides an exciting new way of performing calculations in future.

View Full Project Description
Faculty Supervisor:

Randy Lewis

Student:

Partner:

University of Glasgow

Discipline:

Physics

Sector:

Education

University:

York University

Program:

Globalink Research Award

Impact of CO2 and salinity in aquaculture on physiology, growth and health of coho salmon

As of 2017 salmonid aquaculture was worth $22 billion USD per year with the UK contributing $1.4 billion USD and Canada responsible for $988 million USD. However, despite UN directives stating a need to double production by 2050, growth is hampered by negative public perception. Typically salmonid aquaculture combines land-based freshwater hatcheries with sea-pen rearing systems. While requiring lower maintenance costs the use of sea-pens increases risk of disease in farmed fish and has been linked with parasite overspill into wild populations of salmon causing serious declines in native populations. As such there is a demand to reduce the duration of the marine grow out phase, or transition entirely to land based farm systems (referred to as recirculating aquaculture systems – RAS) which largely avoid many of these problems. However, thus far development of RAS farms has been limited due to reduced growth observed in RAS compared to pens, and the scale of RAS required to maintain fish up to harvest size. Reduced growth and adverse health outcomes have largely been attributed to various issues relating to water chemistry (e.g. CO2, salinity, pH etc.).

View Full Project Description
Faculty Supervisor:

Jeffrey Richards

Student:

Partner:

University of Exeter

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Incorporating Statistical Analysis of the Extensive SAMPEX Dataset to Improve Space Weather Modelling

The Van Allen Radiation Belts are a very dynamic region of space, occupying the region between a few hundred to many tens of thousands of km above the Earth’s surface. Hundreds of commercial, scientific and military satellites occupy this region of space and are therefore vulnerable to the damaging effects of the highly energetic charged particles within it. Understanding, to the point of predictability via radiation belt models, the dynamics of the Van Allen belts, is essential for protecting future infrastructure, which increasingly relies on satellite-based technology. This project seeks to combine several new analysis techniques from both the UK and Canada, to shed new light on long-term spacecraft data. This will provide a platform for a deeper understanding of radiation belt dynamics over an extended period of time, improving current models and therefore increasing our capacity to predict future behaviour.

View Full Project Description
Faculty Supervisor:

Ian Mann

Student:

Partner:

University College London

Discipline:

Physics

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Previous
1…1,9641,9651,9661,9671,9681,9691,970…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe