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

Prototyping, validation, and optimization of an innovative solar-air heating system for window applications (Phase 2)

The increased pressure of natural resource depletion and environmental issues have largely promoted the search for renewable energy sources such as solar energy. Solar heating systems that use air or fluid to transfer the heat energy from solar irradiation to the indoor environment have surfaced as green solutions with high energy conversion efficiency (70%). However, current solar thermal applications have not yet targeted residential and commercial window applications, although these contribute to the largest portion of heat loss in buildings. With the aim of developing more energy-efficient solar-thermo products, Innovative North and University of Guelph collaborated to develop a novel solar air heating system through a Mitacs BSI-funded project (Phase 1). In the Phase 1 project, we successfully designed and optimized the heating system regarding the geometry and sizing, operation mechanism, air ducting system, and manufacturing processes. Through the Phase 1 project, a digital design model with a bill of materials was created. Since the heating system is highly interdisciplinary, a physical prototype is crucial for studying the mechanical, electrical, and manufacturing feasibility.

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Faculty Supervisor:

Sheng Yang

Student:

Partner:

Innovative North

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Guelph

Program:

Business Strategy Internship

PaceZero BSI 2023

PaceZero – Impact Due Diligence Framework Development. This project will further develop an Impact Due Diligence process map for Impact measurement analysis.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

PaceZero Capital Partners

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Waterloo

Program:

Business Strategy Internship

E-Commerce Regional Expansion and Fulfillment Innovation

The Partner Organization produces and sells an all-natural caffeinated energy drink, with about 1/3 of business direct to consumer through their ecommerce website. The organization has a planned expansion into Ontario and Quebec but no social media content generation capabilies or documented marketing strategy to support this expansion. Additionally, the product is heavy and is at risk of freezing in the winter, and the organization is seeing an increased number of damaged shipments for which the courier is not approving claims citing improper packaging as the reason. The goal of the project is to address these two areas.

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Faculty Supervisor:

Amy MacDonald

Student:

Partner:

Work Water Inc.

Discipline:

Business

Sector:

Manufacturing

University:

New Brunswick Community College

Program:

Business Strategy Internship

Adam Trotman – Studying the cross-applications of mining tailings and developing a strategy on how they can drive economic growth through commercialization

The project will investigate the cross applications of mining tailings and how they can drive economic growth.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

Cansbridge Fellowship

Discipline:

Business

Sector:

Education; Other services (except public administration)

University:

Queen's University

Program:

Business Strategy Internship

Conception et implémentation d’une infrastructure infonuagique pour l’exécution des simulations fondées sur des algorithmes d’intelligence artificielle.

DesignBot propose une solution logicielle dans le but d’amener un support aux concepteurs dans leur travail créatif ! L’idée est d’intégrer les technologies d’intelligence artificielle générative dans le processus de travail des concepteurs. En améliorant la collaboration entre l’humain et la machine, DesignBot permettra d’amener pas à pas les concepteurs à créer des concepts hors de l’ordinaire. Et c’est pour cela que nous disons que DesignBot rehausse la créativité des concepteurs avec l’intelligence artificielle générative !

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Faculty Supervisor:

Aurelian Vadean;Sofiane Achiche

Student:

Partner:

DesignBot Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Business Strategy Internship

Implementing the Trees Mobile App in Atlantic Canadian PSEs

This grant application is submitted as a matching grant for a ResearchNS funded project to support post-secondary student success for former youth in care. Canada is a signatory on a variety of national and international declarations on education as a human right, it remains unclear how these contribute to improved access to post-secondary education (PSE) and educational attainment among former youth in care (FYIC) such as those from the foster care system (Child Welfare PAC, 2021). We know that FYIC are disadvantaged in our education system. FYIC have, on average, lower educational achievement, higher rates of unemployment, greater likelihood of homelessness, more involvement in the criminal justice system, and worse health and social outcomes overall across their life course than youth not in care (Nichols et al., 2017; Smith et al., 2015; Strand, 2014). Our project can serve an important role in increasing access to PSE for this historically disenfranchised group which in turn may result in increased diversity and representation within Canadian PSE institutions both in terms of the student body as well future teaching faculty in PSE (Harder et al., 2020; Lehmann, 2021; Payne, 2016; Unrau et al., 2012; Watt & Linley, 2013).

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Faculty Supervisor:

Vurain Tabvuma;Steven Smith;Katelynn Carter-Rogers

Student:

Partner:

Research Nova Scotia;Ipse Media

Discipline:

Life Sciences

Sector:

Education; Information and cultural industries

University:

Saint Mary's University

Program:

Business Strategy Internship

Optimizing Deep Learning Models for Edge Devices in Threat Detection for Computer Vision Applications in Smart Cities and Retail

During the internship, the selected candidate will focus on developing edge computing solutions that can recognize and alert the relevant personnel in real-time in case of potential security threats (e.g. theft, robbery) and safety issues (e.g. employee accidental falls). This would help retailers to prevent or respond quickly to incidents, reducing losses and improving safety for customers and employees. The internship will have a set of milestones which will involve developing the key building blocks for such an application, including exploring algorithms and techniques for object detection, motion detection, face recognition, and activity recognition. The models will be trained on high-performance computing resources and tested on edge compute devices. The intern will also be responsible for real-time testing of the developed edge computing solution, executing proof of concepts, and deploying the AI models on the edge computing hardware platform such as cameras.
The internship will provide J-Squared Technologies with valuable research that can be used to continue building optimized edge-computing solutions. Additionally, the project will help J-Squared Technologies establish an AI/ML research team that can work on the latest state-of-the-art artificial intelligence techniques to create solutions that benefit society.

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Faculty Supervisor:

Babak Taati

Student:

Partner:

J-Squared Technologies

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Supporting Virica’s Inorganic Growth Objectives

“Supporting Virica’s Inorganic Growth Objectives” is primarily a strategy project which will lead to actionable insights to promote Virica’s goal of expanding our VSE library through inorganic methods. Initially, the project will entail research into the current viral sensitizer space, with the goal being to identify Virica’s competitors and other companies that hold IP on viral sensitizers with applications in the manufacture of viral medicines. The intern will develop an excel database containing relevant information regarding specific molecules and programs which may complement Virica’s current platform, with special attention towards molecules with mechanisms of action unexplored by Virica’s current platform, or mechanisms of action which will complement Virica’s current molecules. Once the database is complete, the intern will evaluate each molecule in terms of how well it will fit into Virica’s current library, and develop a triaging system to identify the top candidates for in-licensing. The intern will then develop a strategy regarding the structure of deals regarding the purchase and/or in-licensing of top candidates and will begin outreach and negotiations with the IP holders of candidates with the goal of adding such molecules to Virica’s library.

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Faculty Supervisor:

David Barrett

Student:

Partner:

Virica Biotech

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Business Strategy Internship

Strategic Marketing and Volunteer Onboarding Strategy Yorkton Brick Flour Mill Historical Society

An extension of an earlier Mitacs project, this project will complete some uncompleted objectives in the last internship and complete some new objectives including a strategic communications plan for the Historic Brick Flour Mill in Yorkton.

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Faculty Supervisor:

Gwen Machnee

Student:

Partner:

Yorkton Brick Mill Heritage Society

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Parkland College

Program:

Business Strategy Internship

Representation Learning with Time Series Data

The proposed research aims at learning better representations for multivariate time series (MTS) data, which can be applied to various important real-life applications such as weather, traffic, and electricity forecasting. Better forecasting accuracies for these tasks could help with efficient risk aversion and decision making, and save costs for decision makers. The proposed research will look into current techniques for MTS data modeling and will be focusing on filling gaps in existing research to further improve forecasting results. The proposed research will explore novel modeling approaches that can effectively capture the important and distinct characteristics of MTS data, and will develop approaches that can transfer between MTS data in different domains.

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Faculty Supervisor:

Rahul G. Krishnan

Student:

Partner:

Layer 6 AI

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Technology

University:

University of Toronto

Program:

Accelerate

The Fertility Partners 2023

The Fertility Partners is the business partner of choice for distinguished IVF and prenatal care providers, working together to identify and institute best practices so they can deliver fulfilling outcomes and exceptional experiences to patients and their families. Since the platform started less than 3 years ago projects for this Mitacs internship are assisting in building and improving processes so the corporate team can offer better services to the clinics who can then offer better care to its patients.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

The Fertility Partners

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

Queen's University

Program:

Business Strategy Internship

Item Identification for Robotic Pick and Place Applications

This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with them on robotic arms. The project will benefit Kindred AI by enhancing its product offerings and increasing their competitiveness in the market. Additionally, this research will contribute to the advancement of robotics technology in Canada, which can potentially have significant implications for various industries.

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Faculty Supervisor:

Igor Gilitschenski

Student:

Partner:

Kindred AI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

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.