Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Injection molding with laser-micromachined molds to fabricate biomimetic flow enhancing polymer parts

With this collaborative project we plan to proof that non-stick, self-emptying containers can be produced through molding the polymer with a laser-micromachined steel mold. Imparting a Nature-inspired functional microstructure through laser-machining onto metals is a well understood method developed in Prof. Kietzig’s lab. By using a laser-structured metal mold to form plastics, we will imprint the inverse pattern onto polymer surfaces through an industrial scale injection molding process. We will optimize pattern dimension, laser machining process parameters and injection molding process parameters to ensure the desired transfer of the hierarchical pattern. Further we will carry out advanced wetting studies to assess the functionality of the resulting polymer surfaces.

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Faculty Supervisor:

Anne-Marie Kietzig

Student:

Partner:

IPL Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Impact de la fréquence et la taille de repas, de la supplémentation enzymatique et du type de ration sur la digestibilité des nutriments et le transit gastrointestinal chez le porc en croissance

La majorité des essais nutritionnels sont réalisés chez des porcs nourris deux fois par jour avec une quantité restreinte de nourriture. Ces conditions ne sont pas représentatives de la régie alimentaire des élevages commerciaux où les porcs mangent plus de deux repas par jour sans limitation de la quantité ingérée. Or, la féquence et la taille des repas ont un impact sur la digestibilité des nutriments et le transit gastrointestinal. Ces derniers sont aussi modifiés par le type de ration et plus particulièrement, son contenu en fibres. Dépendemment du type de fibres, le transit peut être accéléré ou ralenti se qui influence les processus de digestion et absorption des nutriments. Des enzymes exogènes peuvent être ajoutées aux rations des porcs afin de limiter les impacts des fibres. Par contre, les enzymes ne présentent pas des effets constants. Ce projet permettrait d’acquérir des connaissances non-disponibles dans la littérature scientifique permettant d’optimiser l’utilisation des nutriments chez le porc afin de limiter les rejets dans l’environnement.

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Faculty Supervisor:

Marie-Pierre Létourneau Montminy;Frédéric Guay

Student:

Partner:

Aarhus University

Discipline:

Life Sciences

Sector:

Agriculture and Food; Life Sciences (not health); Other

University:

Université Laval

Program:

Globalink Research Award

Computatiol Investigation of Ni-Ceria Nanocatalysts to Produce Hydrogen in Aquaprocessing of Heavy Oil

The use of unconventional heavy oil, such as the bitumen derived from oil sands, has progressively increased, placing these
materials as a compelling alternative to meet short- and long-term energy demands. Nevertheless, the current technologies available to exploit and upgrade this crude have critical challenges, such as high production costs, lower energy efficiency, and, even worse, significant environmental damage. Recently, nanocatalysts have emerged as a feasible technology for the in-situ upgrading of heavy oil. In this procedure, a hot fluid that carries the metallic nanoparticles is injected into the reservoir, where the particles act as a catalyst, accelerating hydrocarbon hydrogenation and cracking. However, due to the complexity of the process, significant experimental and theoretical studies are still necessary to fully understand this technique and use it at the industrial level. In this project, we are performing quantum chemistry calculations to investigate the role of NPs, specifically Ni-Ceria, in the in-situ upgrading technology and the aquaprocessing of oil sands.

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Faculty Supervisor:

Dennis Salahub

Student:

Partner:

Centro de Investigacion y de Estudios Avanzados del IPN

Discipline:

Computer science

Sector:

Environmental Science and Technology; Clean Technology; Nanotechnology; Quantum Science

University:

University of Calgary

Program:

Globalink Research Award

Axiomatic approach to classical field theory

The project is centered around the need for procedures in classical relativistic field theories. The idea is to determine the minimal amount of rules (postulates) such that a classical field theory can be uniquely determined. More specifically, determining a set of rules such that a unique set of models will follow from Noether’s theorem. The basis for the rules are models such as covariant electrodynamics. Example rules are properties of these models such as manifest gauge invariance, including explicit gauge invariance of the Lagrangian, Lorentz invariance, and the presence of a field strength tensor in the theory. The expected outcome is to further the current understanding in this area of the axiomatic approach to physics.

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Faculty Supervisor:

Sergei Kuzmin

Student:

Partner:

Utrecht University (Mexico)

Discipline:

Mathematics

Sector:

Education; Aerospace; Other

University:

Western University

Program:

Globalink Research Award

Stuck en Route: Irregular Migrants and Protracted Transit Situations at the Periphery of Europe

My research concerns borders, refugees, and protracted transit situations at the periphery of Europe. Following four months of field work in the Western Balkans this summer, I propose to undertake a six-month foreign study period at Aix-Marseille Université under the supervision of Professor Pierre Sintès, an accomplished and renowned scholar, specializing in issues of international migration, bordering, and identities in the Balkans. As a member of his research laboratory, I would work among the select group of scholars conducting advanced research on my topic, gain invaluable guidance and training, and establish connections for international collaboration possibilities. I intend to conduct follow-up ethnographic research with former research subjects I met in the Western Balkans, that have since arrived in Marseille and elsewhere in France. The data gathered through this multi-spatial, multi-temporal examination of transit and mobility in and around Europe would generate unique and meaningful material for my ongoing Master’s research, academic articles, and future projects.

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Faculty Supervisor:

Sarah Moser

Student:

Partner:

Aix-Marseille Université

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Fully Automated Thyroid Nodule Detection and Classification Using Machine Learning and Ultrasound Imaging

The thyroid glands are located at the front of the neck. The thyroid glands tend to develop small lumps, and it is very common in adults. Most of the lumps are not harmful to humans. However, some of these lumps could be cancerous. Therefore, it is essential to detect the lumps that are cancerous correctly. One approach to identifying the lumps is to use ultrasound imaging which allows for detecting lumps that are smaller than 1 cm. Three internship programmers working with Medo Dx will develop a new approach to detect the lumps from ultrasound imaging using artificial intelligence. The computer program will then prepare a report to the doctors that will allow for better management of the lumps in the thyroid glands. This will reduce the healthcare cost on unnecessary biopsies and reduce patient anxiety. TO BE CONT”D

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Faculty Supervisor:

Kumaradevan Punithakumar

Student:

Partner:

MEDO DX;MEDO.ai

Discipline:

Computer science

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

(De)Constructing ‘Crisis’ at the Borders of Europe: Border Control, Maritime Rescue and the Production of Humanitarian Space in the Mediterranean Sea

In recent years, the Mediterranean Sea has become a visible site of exclusion characterized by the graphic imagery of boats filled with migrants en route to the European Union (EU). Often marked with tragedy and loss of life, these narratives are routinely accompanied by vivid depictions of rescues at sea being conducted by Frontex, the EU border agency, and increasingly, Non-Governmental Organizations (NGOs). Engaging with the humanitarian framing of sea rescue, I unpack how this process of rescue can be understood to perform and enact state borders. I suggest the sea is represented by both state and non-state actors as an idealized, supposedly apolitical humanitarian space defined by the acuteness of saving lives in situations of grievous distress, blurring the politics and violence of borders. Examining the invocation and operation of humanitarianism in response to irregular migrant journeys in the Mediterranean is crucial for understanding the trends and patterns in state and non-state responses to migrant mobility, the fragmented nature of their journeys, and global bordering processes. Exploring the complex interactions of bordering and humanitarianism through the intersections of governmentality and securitization of migration control provides a nuanced understanding of borders as sites of struggle, resistance and agency.

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Faculty Supervisor:

Peter Nyers

Student:

Partner:

University of Warwick

Discipline:

Sociology

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

The development of web- and smartphone-based knowledge translation tools for clinical exercise prescription

There is a growing need for the development of guidelines related to best practices in the treatment of chronic disease. Clinical practice guidelines have become an important means of translating scientific evidence, identifying gaps in the literature, distributing new knowledge, and improving patient care. Following a teleconference, and an in-person meeting between national and international authorities on the best practices in clinical exercise rehabilitation, as well as various computer science specialists who have worked previously with our research group, the key messages and guidelines for clinical exercise prescription will be identified. These key messages will then be developed into a series of web- and smartphone-based applications to increase the distribution of the information. The benefit of these applications to the Health & Fitness Program of BC lies in their ability to disseminate current information regarding the most effective preventative strategies for prominent medical conditions and obesity.

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Faculty Supervisor:

Darren Warburton

Student:

Partner:

Canadian Society of Exercise Physiology

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Accelerate

PET/MRI Coil Performance and Hardware Attenuation Correction

In this project, we partner with Multi-Magnetics Inc. to develop improved approaches to make heart images acquired with simultaneous MRI and Positron Emission Tomography (PET) images of the heart more accurate. This includes compensating for the effect of custom image acquisition hardware (coils) that are present in the scanner at the same time as the patient. The PET/MRI cardiac coil has two parts: a rigid part underneath the patient and a flexible part on top of the patient. Compensation for the presence of coils will involve scanning the coils with dual-energy CT (X-ray based methods) to generate attenuation maps and will employ machine learning approaches to match the maps to the position and shape of the flexible part of the coil on a given patient. The effect of these improvements on PET image accuracy will be measured. Intellectual property for the approaches will be developed.

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Faculty Supervisor:

Jean Theberge

Student:

Partner:

Multi Magnetics Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Publishing Dis/ability and Public Access

This project will investigate the creation of an accessible digital platform that will serve as the basis for all future publications of PUBLIC as well as a model for similar organizations looking to make the transition from print to digital. Importnatly, this project centers dis/ability communities, methods, and methodologies. Not only will this research situate PUBLIC and Public Access as a leader in digital publishing, but they will be providing access to a larger audience and be better equipped to work with dis/ability communities in the organization’s operations.

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Faculty Supervisor:

Mary Bunch

Student:

Partner:

PUBLIC Journal

Discipline:

Sociology

Sector:

New and Digital Media; Technology; Other

University:

York University

Program:

Accelerate

Simulating bead deposition and heat transfer mechanisms for metal based additive manufacturing processes for complex components

Additive manufacturing (AM) is a process family in which layers of material are deposited to create components. It can also be used to repair complex 3D parts. The scope of this research is to establish a process planning framework for metal-based bead deposition processes that considers the various heat cycling, materials, and process parameters. The goal for any designer is to achieve a high strength component with minimal developed stresses and distortions. Therefore, understanding the influence of how the material is deposited the shape and strength is critical. This research will help CAMufacturing Solutions Inc. to continue to develop AM process planning software that their customers need.

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Faculty Supervisor:

Mehrdad Saif

Student:

Partner:

CAMufacturing Solutions Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Deep Mixture and Generative Models: Representation, Approximation, Robustness, and Application

Recent progress on deep architectures has enabled efficient representation and learning of complex high dimensional probability distributions over rich sensory data. In particular, deep mixture models and deep generative models have emerged as the most powerful techniques for this task. The proposed research aims at addressing some of the fundamental questions in this field: What is the relationship between the two seemingly different methodologies? What is the trade-off between network size and noise complexity, and how do these factors affect the approximation accuracy? Can we build on recent advances on sum of squares relaxations to design principled and provably correct convex relaxations for parameter estimation? And last but not the least, how do we measure and strengthen the robustness of such unsupervised deep models? TO BE CONT’D

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Faculty Supervisor:

Yaoliang Yu

Student:

Partner:

Royal Bank of Canada (Borealis)

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Finance and Insurance

University:

University of Waterloo

Program:

Accelerate

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