Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31620 Completed Projects

2978
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5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Accelerating electronic structure simulations on quantum computers using complete active space approximations

Computational chemistry is a powerful tool in the development of new pharmaceuticals, materials, and batteries. With accurate and fast computational methods, one can predict the physical and chemical properties of a molecule without having to prepare it in a laboratory and perform experiments, which can yield dramatic time and cost savings. However, the chemistry of molecules is determined by the laws of quantum mechanics, which are challenging to simulate on even the largest supercomputers that exist today. One resolution of this problem is to use so-called quantum computers which can perform computations that encode these challenging quantum properties intrinsically at the hardware level. As building quantum computers is a challenging engineering problem, the current quantum computers that exist are very small, and can only perform computations for a short time before errors build up and scramble the results. For chemistry, this motivates the question of how to develop more compact representations of the target molecule one intends to simulate so that a smaller quantum computer can be used to study its chemistry. In this project, we will develop and benchmark various methods to generate compact representations of chemical systems, and determine which are best for quantum computing.

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Faculty Supervisor:

Artur Izmaylov

Student:

Partner:

OTI Lumionics Inc.

Discipline:

Physics

Sector:

Advanced Manufacturing; Technology; Quantum Science

University:

University of Toronto

Program:

Accelerate

Self-supervised Representation Learning via Self-Evolvable Random Projections

Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project aims to propose an SSRL approach that can be applied to any data modality and network architecture because it does not rely on augmentations or masking.

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Faculty Supervisor:

Ga Wu

Student:

Partner:

Layer 6 AI

Discipline:

Computer science

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

L2M- GreenLith- Using Cellulose Beads to capture Lithium to recycle batteries

Every technology today, from phones to EVs, rely heavily on lithium-ion batteries, which account for more than 90% of the world grid market. While these batteries make us independent of fossil fuels, we must remember that lithium is a finite resource, hence making it crucial for maintaining a secure Lithium supply and ensuring proper disposal of Li-ion batteries. Therefore, with our core values in innovation, sustainability and cost-effectiveness and guided by UNSDGs 9,12, and 13, we present to you GreenLith- specialized cellulose beads acting like tiny sponges, that would selectively capture Li ions from shredded lithium batteries

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Faculty Supervisor:

Mark Ungrin

Student:

Partner:

Edmonton Unlimited

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Public administration

University:

University of Calgary

Program:

Business Strategy Internship

Monster House Publishing & UNB Arts 4000 Internship – Marketing and Publicity Coordinator

Working with staff and industry partners, the intern will build and implement a cross-platform marketing strategy that utilizes existing and potential promotional structures within Monster House Publishing. The intern will work within the company, learning the various aspects of the publishing space while finding new and creative ways to increase the sales and visibility of Monster House both locally, nationally, and internationally

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Faculty Supervisor:

Tabatha Armstrong

Student:

Partner:

Monster House Publishing

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Business Strategy Internship

Advancing the Utility of Electrochemical Pressure Impedance Spectroscopy (EPIS) as a New Fuel Cell Diagnostic Technique

Fuel cells are versatile, low-emission alternative energy sources, but their optimization and failure analyses are complex due to their black-box nature. For fuel cells to perform at peak proficiency, each component requires a different level of hydration, yet these parameters are currently unattainable with conventional diagnostic techniques. In consultation with Greenlight Innovation, this project focuses on further developing of electrochemical pressure impedance spectroscopy (EPIS) to investigate water transport within operating cells. Initial tests, which focused on the effects of varying fuel cell operating conditions, suggested that EPIS can be optimized to probe changes in the hydration state of fuel cell components. The project’s current focus is the addition of new mechanical components to ensure the cell is isolated from the system and that the results obtained from EPIS are purely indicative of the cell’s response without undesired system effects. This addition allows for more consistent perturbation through the channel to provide more accurate diagnostics on the water transport in the cell. Further tests are required to ensure accurate and reproducible results can be obtained with this modification. Additional work has focused on using EPIS to diagnose degradation through accelerated stress testing. The initial stages of these analyses suggest that EPIS can provide early warnings to address performance losses before they become evident with conventional tests. Additional work needs to be completed to fully understand what forms of degradation can be detected with this technique. Support from Mitacs would enable further investigation into both of these studies in order to improve the technique and provide more applications for its use.

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Faculty Supervisor:

Byron D. Gates

Student:

Partner:

Greenlight Innovation

Discipline:

Physics

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Real-Time Global Enhancement: Integrating Live Translation, Dubbing, and Streaming Technologies into Aview International’s Platform

This project aims to enhance Aview International’s platform by adding advanced real-time translation, live streaming support, and real-time dubbing capabilities. These new features will allow content creators to broadcast their content live in multiple languages simultaneously, breaking down language barriers and making their content accessible to a global audience. This will significantly expand Aview International’s market reach, allowing the company to attract more viewers and content creators, ultimately increasing their revenue and fostering greater cross-cultural understanding.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

Aview International

Discipline:

Computer science

Sector:

Technology; New and Digital Media

University:

University of Waterloo

Program:

Business Strategy Internship

The Experiences and Practices of Mexican Novice Scholars in Writing for Scholarly Publication: A Mixed Methods Research Inquiry

Given global competitiveness for quality research articulated through scholarly publication, this study examines (I) the challenges faced by Mexican novice scholars in writing for scholarly publication in academic journals, and (2) the ways in which these novice scholars are supported in Mexican academic context and by expert members of their academic community in communicating their work through scholarly publication. Two overarching questions frame the study: What challenges do Mexican novice scholars face in writing for scholarly publication? How do they acquire the skills and knowledge necessary for scholarly publication? This study has important implications for policy-making and instructional planning in Mexican academic context. Knowledge produced will (a) provide further understanding of writing for publication practices of Mexican novice scholars, (b) contribute to understanding the nature of challenges presented in their scholarly publishing, (c) provide information for the betterment of mentorship and support mechanisms for their writing for scholarly publication, and (d) contribute to the knowledge base about best practices to strengthen Mexican novice scholars’ socialization in global scholarly communities.

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Faculty Supervisor:

Shelley Taylor

Student:

Partner:

Universidad Autónoma Benito Juárez de Oaxaca

Discipline:

Sociology

Sector:

Technology

University:

Western University

Program:

Globalink Research Award

Usage and Visualization of LLMs for Software Development

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

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Faculty Supervisor:

Frank Rudzicz;Marsha Chechik;Eldan Cohen

Student:

Partner:

AMD Canada

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Building Trust with Transparent, Trustworthy, and Responsible Use of Generative AI for Public Health

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

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Faculty Supervisor:

Jennifer McWhirter

Student:

Partner:

Centre for International Governance Innovation

Discipline:

Sociology

Sector:

Education; Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Testing of Integrated Engineering using Web Computing Platform

ASETS-CA is an upcoming startup with a product that is called ASETS Integrated Design Suite (IDS) a cloud-based 3D facility modelling tool. This tool has a front- end and backend which needs to be tested rigorously before it goes out to the customer with different variation as per their needs. As per industry standards all the code should be covered using a testing framework which is this case would be Junit for Java backend. This would helps us check the output of the code and ensures that the written business logic is working correctly with expected input which is very crucial part of the product functionality.

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Faculty Supervisor:

Leah Bidlake

Student:

Partner:

ASETS-CA Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of New Brunswick

Program:

Business Strategy Internship

Analysis of measurements derived from next-generation, low-cost, satellite-based navigation antennas for performance characterization and antenna design

GPS – the Global Positioning System and similar positioning, navigation and timing (PNT) systems, referred to as Global Navigation Satellite Systems (GNSS), have dramatically improved productivity and safety in our daily lives. Calian GNSS Ltd. has developed a range of novel, low-cost GNSS antennas with advanced technologies. Further improvements are possible to increase antenna performance whilst reducing physical size, power and cost. The interns will 1) develop a custom GNSS measurement analysis tool to assess antenna performance, 2) analyze the PNT performance of smart antennas, and 3) analyze the PNT performance of anti-jam antennas. The proposed research will help Calian improve its antenna technology and increase technology exports; improve Canadian productivity; produce needed graduate-level R&D GNSS engineers for Canadian GNSS and IT companies; and improve Canadians’ safety through PNT availability, accuracy and resiliency.

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Faculty Supervisor:

Sunil Bisnath

Student:

Partner:

Calian GNSS Ltd.

Discipline:

Engineering

Sector:

Manufacturing

University:

York University

Program:

Accelerate

Test Process Automation with a Robotic Manipulator Arm

Pfizer, a leading global company, is constantly striving to deliver breakthroughs that improve patients’ lives. They achieve this through a dedication to research and development (R&D) and by optimizing their manufacturing processes. The student’s contributions will support Pfizer’s mission of innovation. In this two-part project, we will explore the automation of various tasks with the use of a robotic manipulator arm. The first objective is to develop a proof-of-concept by automating tests such as measuring pH, weight, or drying (loss on drying) and then moving towards more complex techniques such as preparing solutions for testing. The second objective aims to develop an innovative robotic solution by leveraging existing robots and integrating artificial intelligence (AI) capabilities. The overall goal is to enable robotic systems to perform human-like activities with minimal instruction

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Faculty Supervisor:

François Ferland;Ryan Gosselin

Student:

Partner:

Pfizer Canada (Kirkland, QC)

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Business Strategy Internship

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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.