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

An improved pipeline for processing and analysis of facial surface images in medicine

This Mitacs proposal tackles several outstanding issues that must be addressed to complete development of a widely applicable pipeline for quantitative analysis of 3D facial shape in medicine. Here, we focus on specific applications of imaging pipelines in genetic syndrome diagnosis and facial surgery visualization and planning. The fellows will develop (a) cutting edge, deep learning models of 3D facial shape variation, (b) optimal strategies for defining boundaries between regions, (c) methods to infer high resolution skin color and texture from low resolution images, (d) and models that integrate 3D facial shape data with discrete and preference data for various purposes.

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Faculty Supervisor:

Richard Hawkes;Benedikt Hallgrimsson;Nils Daniel Forkert

Student:

Partner:

AIndlit Medical Aesthetics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Quo Vadis? Ontologies for Geospatial Question Answering and Consumer Behaviour

A geospatial query is a question where the concept of location is necessary for formulating the answer. Furthermore, we are not simply interested in spatial relationships, but also with the ways in which people can possibly move through space given the goals that they want to achieve. We therefore want to predict the behaviour of people moving through urban environments based on observations about their purchases. In this project, we will explore how can models of commonsense knowledge can be used for automated reasoning to answer geospatial queries and to infer consumer behaviour.

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Faculty Supervisor:

Michael Gruninger

Student:

Partner:

Royal Bank of Canada

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Accelerate

Amelioration d’un code de mesure de champs de deformation par correlation d’images

Le but de ce projet de recherche est de poursuivre Ie developpement d’un code de mesures de deformations par correlation d’images. II s’agit d’une technique permettant d’evaluer les deformations subies par une piece sollicitee mecaniquement a partir d’images prises a di fferents instants. Le principe consiste a com parer chaque image deformee a une image de reference, et a calculer la transformation qui pennet de passer de I’une a l’autre. Cette methode a pour avantage d’etre adimensionnelle, sans contact, et d’etre applicable a des pieces reelles aussi bien qu ‘a des echantillons testes en laboratoire. Son objectifpremier est de mettre en evidence les heterogeneites de deformation. En lien avec d’ autres techniques de caracterisation, elle contribue a une meilleure comprehension des mecanismes a I’ origine de I’endommagement des pieces de structure, ainsi qu’a I ‘anticipation de leur fin de vie. Une premiere

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Faculty Supervisor:

Philippe Bocher

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

The Black Experience Project (BEP) in the Greater Toronto Area

This project provides the groundwork and covers the critical first steps of a multi-year research study that examines the lived experience of Black Canadians in the Greater Toronto Area (GTA). The purpose of this larger study is to better understand the nature of the challenges facing the Black community, through exploring the lived experiences of individuals within this community (focusing on values, identity, aspirations and experiences), and the factors leading to success or failure. The literature review will provide an analytical framework and will help to contextualize this project within the body of literature that has been written on the experiences of Black individuals in both Canada and the United States. The collection, organization, and synthesis of this literature will also help to shift attention from overt barriers, such as those “cultural/social phenomena that motivate discriminatory behavior” (Robinson, 2009, p. 98).

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Faculty Supervisor:

Wendy Cukier

Student:

Partner:

The Environics Institute

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

The Saskatoon Society for the Protection of Children-Marketing and Rebranding

Saskatoon Society for the Protection of Children Inc. (SSPC), a not-for-profit organization, focuses on providing services to children and families that will allow for the safety of children and the healthy development of families. Previously, the organization was working on a professional rebranding, including a name change. Therefore, this project would include supporting SSPC to actualize and implement the new brand to increase visibility, including transitioning the agency through the name change and communicating with various stakeholders. Marketing the new brand to the public and donors is an important activity. The internship would allow SSPC to establish its messaging in the public view. The organization has resources to make it work, but does not have the knowledge base or manpower in the current staff complement. The internship will provide a strong foundation in this area for SSPC as it represents many hours in an intensive period. An effective marketing plan can help SSPC build its brand awareness and attract more sponsors. The sponsorship and a known brand enable SSPC to assist more families and vulnerable children in and around the Saskatoon area. Providing children with a pleasant environment will benefit our society in the long run.

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Faculty Supervisor:

Marjorie Delbaere

Student:

Partner:

Saskatoon Society for the Protection of Children

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Saskatchewan

Program:

Business Strategy Internship

Testbed for New Energy-Efficient Data Center

Data centers are being deployed worldwide. They provide the fundamental computing and communication resources for both business customers and regular consumers. Different from traditional data centers, today’s data centers must have the capability to provide services to millions of users on a dynamic basis. New data centers are designed to deploy large number of commodity servers and low-cost Ethernet switches to achieve scalability and cost efficiency. Energy consumption is another major issue that must be addressed. This project is proposed to address the cost and energy efficiency issues by developing a new type of optical networks. It is well-known that optical networks are the most cost-effective communication networks in terms of the bandwidth they carry. However to make optical networks fit into the ecosystem of data centers, some changes are required. This project will develop a testbed that deploys new optical devices based on the passive optical network concept.

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Faculty Supervisor:

Changcheng Huang

Student:

Partner:

Viscore Technologies Inc

Discipline:

Engineering

Sector:

Wholesale trade

University:

Carleton University

Program:

Accelerate

Development of Residential HVAC and Air Conditioning Demand Management and Control System – Wireless Sensor Network Design

Canada ranks very poorly in terms of energy usage per capita and in energy efficiency. As a large portion of this energy is used by buildings, saving the energy consumed by buildings will significantly reduce our carbon footprint. Efforts are underway to incorporate various energy-preserving and generating techniques to create such “Net Zero” (or even Net Positive) energy consuming buildings. These buildings will be equipped with information and communication technology (ICT) backbone to maximize the energy production by renewable sources and minimize energy consumption by having constant communication with the external smart grid. Intelligent wireless sensor networks sensing various parameters such as temperature, humidity, illumination level and occupancy levels to achieve this goal. Therefore an intelligent sensing, communication and control network will be an integral part of smart buildings. The development of such an ICT backbone is the focus of this project.

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Faculty Supervisor:

Xavier Fernando

Student:

Partner:

Toronto Hydro Electric Systems Ltd;Toronto and Region Conservation Authority (Toronto, ON);Toronto Metropolitan University

Discipline:

Engineering

Sector:

Utilities

University:

Toronto Metropolitan University

Program:

Accelerate

MBA – Business Intelligence Analyst

CARM&A Health is a health-related startup that is in its early stages of development. Part of building the company’s foundation requires careful business planning that is rooted in market research. The Mitacs intern will conduct this essential research and compile findings into a business plan and pitch deck. These will then help to inform CARM&A’s operations planning and will act as presentable materials when seeking future funding or partnerships.

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Faculty Supervisor:

Michael Maier

Student:

Partner:

CARM&A Health Inc

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Business Strategy Internship

LEAP | Pecaut Centre for Social Impact

I will be working with the LEAP Pecaut Centre for Social Impact, supporting the team on various strategic initiatives and go-to-market strategies. My work will consist of conducting market research, presenting strategic initiatives to the core LEAP team, and helping with implementation.

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Faculty Supervisor:

Yolande Chan

Student:

Partner:

LEAP

Discipline:

Business

Sector:

Other services (except public administration)

University:

Queen's University

Program:

Business Strategy Internship

Housee Technologies BSI

Project consist of a Business Analyst who will be the vital link between our information technology capacity and our business objectives by supporting and ensuring the successful completion of analytical, building, testing and deployment tasks of our software product’s features for our platform.

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Faculty Supervisor:

Arcan Nalca

Student:

Partner:

Housee

Discipline:

Business

Sector:

Real estate and rental and leasing

University:

Queen's University

Program:

Business Strategy Internship

Biological sources and the persistence of aerosols generated by variousdental procedures

Dental personnel are high risk professions in contracting and disseminating COVID-19 due to their transmits through respiratory droplets, dental personnel are at high risk of being exposed to the virus if an asymptomatic
patient comes to their clinic. However, limited studies have been performed on the characterization of aerosols generated during dental procedures, how far these aerosols may travel in the clinic, and if they accumulate during the day. This lack of information leaves dental regulators to give guidelines to their members without having enough information to make appropriate decision for personnel and patient protection, as well as disinfection procedures. The objective of the study is the characterize aerosols generated by various dental procedures. The study will also look at how far these particles travel inside a dental clinic and if there is a risk of accumulation during the day.

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Faculty Supervisor:

Khaled Altabtbaei;Paul Major;Bernadette Quémerais

Student:

Partner:

Alberta Dental Association and College

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Integrating multiple deep learning models to track and classify at-risk fish species near commercial infrastructure

Companies must not harm species at risk around their fixed infrastructure and need a way to detect and monitor at risk fish. However, a species at risk cannot be tagged and studied using conventional surgically implanted fish tracking technology. Innovasea is therefore developing a platform to monitor fish using a combination of sensors such as acoustic devices, visual and active sonar and optical cameras. This effort requires a robust accurate method to detect fish and classify them by species. To meet this need, we propose testing two deep learning models, one using filtering combined with a convolutional neural network for detection and the other using optical flow and gaussian mixture models with a YOLO fish species classifier. We will first test these methods for classifying fish species using data from a high resolution DIDSON imaging sonar, then develop guidelines to help Innovasea develop and launch their integrated multi-sensor platform for fish monitoring, and finally we will develop the best performing prototype model into a fully implemented system which will be able to detect and classify untagged fish with data from multiple types of sensors.

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Faculty Supervisor:

Christopher Whidden;Luis Torgo

Student:

Partner:

InnovaSea Marine Systems Canada Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

Dalhousie University

Program:

Accelerate