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

Mayana Geneviere

Mayana Geneviere (MG) hopes to grow and scale within today’s current commercial climate. To respond to disruption, MG has needed to pivot its business plan and strategy, which must be optimized through the project undertaken by the intern. This work involves researching potential markets for product launches, auditing processes for working remotely, and exploring new ways to navigate disruption. To do so, the intern will be responsible for gathering data, analyzing results, and reviewing processes to ultimately develop an in-depth strategic plan alongside a implementation plan. The expected benefit to MG is to provide clarity and minimize uncertainty in order to make the most informed business decisions moving forward.

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Faculty Supervisor:

Yolande Chan

Student:

Partner:

Mayana Geneviere

Discipline:

Business

Sector:

Manufacturing; Retail trade

University:

Queen's University

Program:

Business Strategy Internship

Prospecting/Demand Generation Internship

Fortune Label is a family-run industrial label and packaging company that has operated in the Greater Toronto Area since 1995. The company is at a crossroads as it is trying to decide between two options (sell or scale). The Intern will be responsible for identifying potential customers and establishing first contact with those companies through a multitude of prospecting methods. The main objective of this project is to be able to acquire one new sizeable customer by the end of the internship before taking the final decision (sell or scale).

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Faculty Supervisor:

Yolande Chan

Student:

Partner:

Fortune Label

Discipline:

Business

Sector:

Manufacturing

University:

Queen's University

Program:

Business Strategy Internship

Gala Média

La chargée de projet marketing numérique, sous la direction de la Direction marketing et du Vice-Président développement stratégique, et en collaboration avec le reste de l’équipe, aura pour mission de soutenir les communications auprès d’un réseau de professionnels, principalement autour du média CScience IA, mais aussi pour la division « production » du groupe (GALA Prod) et notamment de « TiDoc’ ». Le tout afin d’accompagner les efforts de mise en marché de la compagnie Gala Média.
L’objectif central est de développer une communauté forte auprès des professionnels intéressés par l’intelligence artificielle. Le but est d’assurer la promotion et la notoriété du groupe et ainsi assurer la mise en marché de la compagnie.

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Faculty Supervisor:

Sylvain Perron

Student:

Partner:

Gala Média

Discipline:

Business

Sector:

Information and cultural industries

University:

HEC Montréal

Program:

Business Strategy Internship

Gala Média

L’objectif central du projet est de créer et d’animer une communauté d’intérêts auprès des professionnels de l’intelligence artificielle afin principalement de s’assurer de la promotion et la notoriété du média CScience IA. En effet, par cette communauté, le but est de devenir une référence et une ressource dans le domaine des médias en intelligence artificielle. Le projet va tourner autour de plusieurs questions centrales :
– Quelles sont les personnes cibles et susceptibles d’être intéressées par les contenus offerts ?
– Quelle est la meilleure stratégie pour les contacter, les attirer et les faire rester ?
– Comment s’assurer de l’impact réel pour l’entreprise de l’élargissement de sa communauté ? Nombres de
personnes vs taux d’engagement ?
– Quels sont les contenus les plus attractifs pour la communauté d’intérêts ?
En tant que chargé de projet marketing opérationnel, sous la direction du VP développement stratégique, et en coordination avec le reste de l’équipe, ma mission sera donc de créer et d’entretenir des « personae » correspondants aux membres de l’équipe afin d’accompagner les efforts de mise en marché et de communication de la compagnie Gala média et de son média CScience IA

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Faculty Supervisor:

Sylvain Perron

Student:

Partner:

Gala Média

Discipline:

Business

Sector:

Information and cultural industries

University:

HEC Montréal

Program:

Business Strategy Internship

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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

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