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

Development of an industrial process for colour removal of plasticizers

The projects consist to apply commercially known colour removal technology to a used plasticizers blend produce in Tarkett vinyl sheet flooring plant. Using a continuous packed bed column, the intern will screen the performance and efficiency of several colour and metals removal resins. Following the colour removal experiments, the effect of adding the treated material in Tarkett formulation will be evaluated through different quality control tests developed by the company. In the instance that economically relevant results are obtained, a unit design will have to be carried out.

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Faculty Supervisor:

Milan Maric

Student:

Partner:

Tarkett

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Analyzing the effects of wearable ring scanners on sustainability and ergonomics in warehouse operations

This project aims to evaluate the effectiveness of a wearable ring scanner in improving environmental, economic, and social sustainability specifically in a warehouse setting. By addressing these objectives, this research aims to provide valuable insights into the suitability and sustainability of the ring scanner as a potential means of enhancing warehouse operations. A life cycle assessment, activity-based cost analysis, and comfort rating scale will be used as research methods. The results of this research will immediately benefit the Canadian warehouse and distribution industries and its relevant stakeholders (e.g., policy makers, marketers and sustainability practitioners) in Canada.

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Faculty Supervisor:

Jay Jonghun Park

Student:

Partner:

Lotwork Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Abnormality Detection Using Variational Autoencoder: An Application in Banking System

This internship project focuses on Variational Autoencoders (VAEs) for the precise identification of fraudulent activities within the banking sector, notably on check fraud detection. The literature shows that VAEs are very powerful in extracting principal features and components of a given dataset. This project meticulously outlines a comprehensive methodology where VAE is utilized for analyzing check images and extracting critical features such as signature styles, printed patterns, and unique identifiers to transform complex, high-dimensional data into an encoded, simplified representation. This project proposes an innovative integration of machine learning techniques to address challenges in financial fraud detection. By utilizing VAEs, we aim to extract and decode complex patterns, optimizing the detection of anomalies in the banking system. The methodology involves the application of VAEs for feature extraction from high-dimensional data, subsequently clustering these features to identify irregularities and predict long-term performance. The project leverages publicly available datasets, such as RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) and NIST Special Database 19, for checks to refine models capable of handling diverse scenarios.

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Faculty Supervisor:

Jahrul Alam;Kevin Pope

Student:

Partner:

NASDAQ Canada Inc

Discipline:

Mathematics

Sector:

Finance and Insurance; Artificial Intelligence

University:

Memorial University of Newfoundland

Program:

Accelerate

Boosting Interpretability and Reducing Resource Demands of Machine Learning Models using Tensor Networks

The rapid recent rise in the use of machine learning (ML) tools in business and everyday life has introduced both opportunities and new challenges. While powerful, large-scale ML models come with massive energy demands, as well as output that is hard to predict or interpret. This project will focus on the application of tensor networks (TNs), a rich family of models and methods originating in quantum physics and applied mathematics, to alleviate these issues within state-of-the-art ML models.

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Faculty Supervisor:

Guillaume Rabusseau

Student:

Partner:

Zapata Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University; Université de Montréal

Program:

Accelerate

Mathematical and Computational Techniques for Cytotoxicity

The study of toxicity is to investigate the adverse effects of chemical and physical agents on living organisms and biological systems, and it is an important topic in the health and environmental sciences. In recent years, Alberta researchers has made great progress and contribution towards developing an innovative toxicity profiling program, and tremendous data sets have been obtained through numerous experimental studies. The present MITACS Accelerate Cluster project will present two new approaches based on the mathematical and computational techniques to extract important information and features from the available cytotoxicity data sets. The internship trainees participated in present MITACS project not only gaining research experience by studying and solving real problems, but more importantly, they are also making valuable contributions of knowledge and technology transfer from academia to industry, health and environmental sectors in Alberta and Canada.

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Faculty Supervisor:

Yau Shu Wong

Student:

Partner:

Dr. Stephan Gabos Health Consulting

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Stage en recyclage du verre

Ce projet se concentre sur la valorisation et le recyclage du verre. Suite à une prise de conscience généralisée de l’impact environnemental des procédés actuels de refonte du verre, l’exploration de nouvelles sources d’énergies vertes (telles que les torches plasma) pour substituer l’utilisation de combustibles fossiles devient un enjeu de première importance. Actuellement, les emballages de verre préalablement triés subissent un processus de broyage produisant du calcin qui est par la suite fondu dans des fours de fort tonnage. Ce verre fondu est ensuite soufflé afin de produire de nouvelles bouteilles, présentant des propriétés mécaniques et optiques similaires à celles obtenues à partir de l’utilisation de matières premières vierges. Les fours actuels de refonte du verre utilisent des combustibles fossiles ce qui contribue de manière significative aux émissions de gaz à effet de serre liées à ce type d’emballage. Le projet vise donc à explorer de nouvelles technologies électrifiées substituant l’utilisation conventionnelles des combustibles fossiles. Cette recherche comprend l’identification des réductions potentielles des émissions de gaz à effet de serre et l’évaluation des coûts d’installation de ces technologies innovantes.

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Faculty Supervisor:

Jean-Philippe Harvey

Student:

Partner:

École polytechnique fédérale de Lausanne

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program:

Globalink Research Award

Improving Commodities Forecasts with Machine Learning

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

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Faculty Supervisor:

Arvind Gupta;Huaxiong Huang

Student:

Partner:

Balyasny Asset Management (Canada) ULC

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Accelerate

Improving retrieval-augmented generation for user engagement

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

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Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

Boson AI

Discipline:

Computer science

Sector:

Education; Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Using Carbon Control and Micronized Sulfur Technologies to reduce greenhouse gas emissions from fertilizer applications and to enhance soil nutrient availability

Sulvaris is a pioneer in developing carbon control technology (CCT) and micronized sulphur technology (MST). Fertilizers developed using those technologies provide carbon, nitrogen and sulfur, increasing crop yields and soil fertility. Further studies are needed to optimize formulations for the CCT and MST products, especially their efficacy in reducing greenhouse gas (GHG) emissions. The main objective of this study is to assess the performance of new CCT and MST products in soil carbon and nitrogen mineralization and GHG emissions (CO2 and N2O) as compared to the application of ammonium sulfate and urea. The laboratory incubation experiments will involve the systematic collection and analysis of gas and soil samples at regular intervals. These analyses aim to provide crucial insights into the effectiveness of the products in mitigating GHG emissions and enhancing soil fertility.

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Faculty Supervisor:

Scott Chang

Student:

Partner:

Sulvaris Inc

Discipline:

Earth science

Sector:

Agriculture; Manufacturing

University:

University of Alberta

Program:

Accelerate

Supported for exercise: Optimizing sports bras for larger-breasted women

Our study focuses on improving the design of sports bras for women with larger breasts, who often struggle to find bras that fit well. In this study, we want to understand how different sports bras affect how women feel and breathe during exercise. By studying this, we hope to improve sports bra design and make exercising more enjoyable for women with larger breasts. For our industry partner, Lululemon Canada Inc., this project offers valuable insights into designing sports bras that are more supportive, comfortable, and tailored to the needs of larger-breasted women. It also provides a foundation for developing new testing methods for sports bras, which can lead to better products for all customers. For the fellow leading the study, this project aligns with her background in respiratory physiology and exercise science, offering a unique opportunity to contribute to research and product development. It provides valuable experience and expertise that can be applied to future projects and career advancements. Overall, our study aims to benefit women with larger breasts by improving the design of sports bras, making exercise more comfortable and enjoyable. We are excited about the potential impact of our research and the benefits it can bring to both the industry, the research community and the community of exercising women globally.

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Faculty Supervisor:

Dennis Jensen

Student:

Partner:

Lululemon

Discipline:

Life Sciences

Sector:

Manufacturing; Retail trade

University:

McGill University

Program:

Elevate

Enhancing Wastewater Treatment Efficiency Through the Pilot-Scale Study of Zeelung MABR Technology

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

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Faculty Supervisor:

Carlos Diaz

Student:

Partner:

Veolia Water Technologies & Solutions

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Construction and infrastructure; Professional, scientific and technical services

University:

Lambton College of Applied Arts and Technology

Program:

Accelerate

Study of High-Performance Elastomeric Polymer Electrolytes for Next-Generation Lithium Batteries

In this project, the aim is to evaluate the mechanical and electrochemical properties of elastomeric polymer electrolytes according to the structure of the monomer, such as the presence of side chains and the length of alkyl groups, and to measure and analyze the properties of the polymer using various instruments. As a result, mechanisms such as charge transfer in elastomeric polymer electrolytes are investigated, and optimized elastomeric polymer electrolytes are developed and evaluated as next-generation rechargeable batteries.

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Faculty Supervisor:

Hyun-Joong Chung

Student:

Partner:

Hongik University

Discipline:

Engineering

Sector:

Green/Alternative Energy

University:

University of Alberta

Program:

Globalink Research Award

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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.