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

A Geomatics based integrated resource management model for watersheds

Integrated management of land and water resources is critical to best addressing increasing resource
demands of society while maintaining a healthy environment. Combining computer mapping and
satellite data at the watershed scale with integrated resource management models will provide
governments, industry and nongovernmental agencies with a new generation of resource planning
and management capabilities. Watersheds are a natural management unit – defined by interactions of
geologic and atmospheric processes.
Our integrated modelling platform provides high resolution real-time capability to assess
changing resource issues in mountains – the water towers of the world. Such capabilities are critical
to short, medium and long-term management. Short and medium term issues can be challenging:
examples include flood protection, optimizing hydroelectric generation and water allocation in times of
drought. Longer-term adaptation to inter-annual and inter-decadal environment change requires highlevel
resource management tools. Our modeling capacity is critical to address all these management
issues in watersheds around the world.

View Full Project Description
Faculty Supervisor:

James Byrne

Student:

Partner:

NOVUS Environmental;TECTERRA Inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

A Camera Stabilization Gimbal System for A Small Unmanned Aerial Vehicle

Remote industrial installations and other areas requiring surveillance can be monitored effectively by
an Unmanned Aerial Vehicle (UAV). UAVs are remotely operated, with on-board camera systems.
Fixed camera systems are of limited use, because the field of view is limited to the direction in which
the aircraft is flying, which continually changes as the aircraft moves while flying. A gimbal system
can reduce this effect by compensating for changes in aircraft orientation, which fixes the direction of
the camera. Most stabilizing gimbal systems are designed for payloads on human-piloted aircraft, and
for fairly large cameras The objective of this project is to design and develop a compensating pan-tilt
gimbal system for a small UAV. The unit will carry a camera that can be pointed with an
electromechanically actuated articulation system, allowing the camera to track a designated azimuth
and elevation during flight manoeuvres.

View Full Project Description
Faculty Supervisor:

Michael Lipsett

Student:

Partner:

ING Robotic Aviation (Sherbrooke, QC)

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Development of a Fully Automated Refuse Collection System

The proposed project involves the development of a fully automated system for municipal
waste collection. We will develop a ruggedized vision-based control system and a truckmounted
robot to pick up municipal waste containers and deposit their contents into the back
of a standard waste collection vehicle. The solution is envisioned as an add-on for existing
trucks that will not require municipalities to replace their entire fleets. Waterloo Controls
estimates the annual market to be in the range of 5000-10000 units.

View Full Project Description
Faculty Supervisor:

Kenneth McIsaac

Student:

Partner:

Waterloo Controls Inc

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

Western University

Program:

Accelerate

Effect of novel iron chelators on cell growth inhibitionby anti-mitotic drugs and irradiation

Iron is required for the growth of all animal cells, being necessary for the proper function of diverse
enzyme systems and the expression of certain genes, as well as for the production of oxygen radicals
that function as signal transduction intermediates and help defend against microorganisms.
Interestingly, preliminary findings indicate that both mouse and human cancer cells (used to model
continuously growing animal cells) are more sensitive to iron withdrawal than are their normal
counterparts, and are also able to discriminate between different iron-chelating agents. The proposed
research will test the hypothesis that iron withdrawal (using novel iron-chelating agents developed by
Chelation Partners Incorporated) will enhance the cytostatic and/or cytotoxic activity of other cell
growth inhibitors, including anti-mitotic drugs and irradiation. New inSights into the control of animal
cell growth at the level of iron requirements will have important biotechnology and biomedical
applications.

View Full Project Description
Faculty Supervisor:

David Hoskin

Student:

Partner:

Chelation Partners Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Integration of multiple modalities and radar modules for vitals monitoring

This project will seek to use novel radar technology in addition to computer vision to remotely detect vital signs (Heart Rate, Respiratory Rate, Movement and Temperature) of multiple patients. This will help lead to decreased morbidity of patients in areas such as waiting rooms, hospital or police seclusion rooms and other unique environments such as refugee camps, safe injection sites or pandemic screening facilities.

View Full Project Description
Faculty Supervisor:

Guy Dumont

Student:

Partner:

Aberrant Designs

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Multivariate sequential data generator with long term, non-linear dependency

Financial data are known to be generated from complex distributions, often assumed to be changing over time. The aim of this project is to build a simulator of multivariate time series, parameterized as simply as possible by a user, with the freedom to build different models, to assess their general behavior and key properties. This will facilitate predictions of multiple sequences and their interactions, through a simple interface of possible configurations to the user, who could have a basic knowledge of statistics and limited knowledge of the mathematical details of the underlying models. More generally, the user will have to be able to define certain variables’ characteristics, as well as dependencies between variables and time dependencies. Standard econometric models will be used as well as recent machine learning techniques to introduce non-linearities and time-dependency over a large period of time.

View Full Project Description
Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Caisse de dépôt et placement du Québec

Discipline:

Computer science

Sector:

Finance and Insurance

University:

Université de Montréal

Program:

Accelerate

Définition d’une méthode d’analyse structurelle statique et dynamique pour un système de traction par chenilles de machinerie agricole

Un système de traction à chenille pour la machinerie agricole est un mécanisme complexe composé de plusieurs joints, glissières et de matériaux déformables avec un comportement complexe (caoutchouc). Pour cette raison, Camso, fabricant de système de chenilles, utilise beaucoup les essais en laboratoire et sur terrain pour valider la fiabilité et la durabilité des pièces de ses produits. Le projet vise à développer des outils de simulation numérique pertinents et fiables qui permettraient à Camso prédire rapidement, en phase de conception préliminaire, les efforts transmis à chacune des pièces du système. Camso pourrait alors à la fois économiser des coûts de développement et optimiser la performance des produits en ayant la possibilité de prédire celle-ci en amont.

View Full Project Description
Faculty Supervisor:

Jean-Sébastien Plante

Student:

Partner:

Camso

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Optimisation des parcours de drones afin de maximiser la probabilité de détection d’une cible en détresse sur l’eau

Ce projet vise à optimiser les déplacements d’une flotte de drones qui sont utilisés pour détecter et reconnaître des personnes ou des bateaux sur une étendue d’eau permettant de minimiser les pertes humaines en intervenant le plus rapidement possible lors d’une situation d’urgence. La flotte de drones est reliée à une base et à une antenne 5G ce qui permet à l’équipe de secours de prendre des photos dans différentes zones de recherche. Le modèle d’optimisation vise à maximiser l’information obtenue tout en tenant en compte la capacité des drones en termes d’énergie électrique, la capacité de mémoire maximale de la caméra, et l’absence de communication possible avec le drone une fois qu’il est hors du rayon de l’antenne. Pour résoudre ce problème, un algorithme exact et une heuristique seront développés.

View Full Project Description
Faculty Supervisor:

Julie Paquette;Jorge Mendoza Gimenez

Student:

Partner:

SATWII Solutions;Xpert Solutions Technologiques

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Measuring the Economic Impact of Social Cohesion in New Brunswick: A Proof of Concept

The intern will review past approaches which have endeavoured to capture the concept of social cohesion as a numerical index. Additionally, they will examine methods which have attempted to better understand the value of non-monetary benefits such as civic engagement or social support networks. Having examined such previous work, the intern will select a social cohesion index method and given the data available, examine its impact on societal well-being. This work will directly benefit Dialogue New Brunswick as the organization recently expanded upon its mission, broadening its scope in order to address the inclusiveness and acceptance of all New Brunswickers.

View Full Project Description
Faculty Supervisor:

Barry Watson

Student:

Partner:

Dialogue Nouveau-Brunswick

Discipline:

Sociology

Sector:

Education

University:

University of New Brunswick

Program:

Accelerate

Adaptive Dialog Techniques for Chatbots

This research focuses on the development of machine learning and natural language processing
techniques for adaptive chatbots that can converse with users and learn about the world. The
outcome will be a generic bot that can be instantiated with different personalities and knowledge
bases to entertain users of the popular Kik messenger about different topics. It will improve the
dialog abilities of Kik’s current chat bot, which receives more than 1 million messages per day.
The immediate benefit will be higher user engagement. The second benefit will be a proof of
concept for future chatbots that celebrities may use to entertain their fans or companies may use
for one-on-one interactions with their customers. This work will propel Canada at the forefront
of automated dialog systems, which are seen as the key for improved user experience in
smartphones, personalized marketing and video-gaming.
Mitacs

View Full Project Description
Faculty Supervisor:

Pascal Poupart;Jesse Hoey

Student:

Partner:

KIK Interactive

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Optimized Controllers for Second-life Battery Energy Storage Systems

The world’s electricity grids need affordable batteries to store large amounts of energy and allow for increased renewable power sources like wind and solar. Instead of building new batteries from scratch, millions of used batteries from retired electric vehicles can be given a second life on the electricity grids for a lower price and a smaller environmental footprint. This research project will develop a new computer program that can manage large groups of second-life batteries so they work effectively together as a team and even outperform more expensive batteries. Ultimately, this will help make renewable energy more affordable and more sustainable. Partnering with the Lab2Market program will contribute to the development of innovative technologies in Canada.

View Full Project Description
Faculty Supervisor:

Lukas Swan

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Energy and Utilities; Green/Alternative Energy; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

Comparative analysis of real-time weld quality monitoring camera systems working in visible, IR and NIR spectra

Real-time weld monitoring system helps prevent the rejection of large portions of defective welds. It is likely that monitoring camera systems that work in infrared light may be able to reveal some weld defects better than the visible light cameras. The project goal is to perform a comparative experimental study on the ability of the infrared and visible light cameras to detect weld imperfections. The partner organization for this project is Xiris Automation Inc., a company that produces real-time welding control and monitoring systems. The results obtained within this project will help the partner to produce better customers-oriented systems that will increase the productivity of the manufacturing processes of the Canadian industry.

View Full Project Description
Faculty Supervisor:

Patricio Mendez

Student:

Partner:

Xiris

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

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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.