Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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8841
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95
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568
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Projects by Category

Physiological roles of Hippo effectors in bovine granulosa cells during follicle divergence and dominance

Disorders of ovarian function are major causes of infertility, subfertility and cancer in mammals. For this reason, our research interest is the study of ovarian physiology and dysfunction; particularly the regulation of ovarian follicle development and ovulation in cattle. Recently, we generated considerable insight into the regulation of a completely novel signaling pathway during ovarian follicle growth in bovine, but we still need to better elucidate the physiological roles and the mechanism of action of Hippo effectors in bovine ovarian granulosa cells during follicle development. For this, we are going to employ distinct bovine in vivo and in vitro models. These findings may lead to applications for the manipulation of Hippo signaling in vivo, such as the pharmacological targeting of specific signaling pathway effectors, that may result in industry funding to better use the ovarian follicle reserve in high genetic merit animals superovulated for in vitro embryo production. This is a major economic activity in the Canadian and world dairy industry.

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Faculty Supervisor:

Gustavo Zamberlam

Student:

Partner:

Universidade Federal de Santa Maria

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Modelling Collaborative Networks: Developing an International Fashion Studies

At present, networks for the studying of fashion exist globally in Europe, the United Kingdom, and the United States, among others. Canada, too, is home to some of these collaborative sites, for example the Canadian Fashion Scholars and the Canadian Arts & Fashion Awards. Many of these networks have flourished through the publishing of an academic journal, seen for example through the Association of Dress Historian’s publication Journal of Dress History and the Costume Society of America’s publication DRESS: Journal of the Costume Society of America. Building on the work of Fashion Studies, the first open-access, academic publication in Canada and North America, Modelling Collaborative Networks: Developing an International Fashion Studies proposes to further innovate the field by creating international collaborative networks across the fashion industry and research centres. Led by the Co-Founders and Editors of the journal, Dr. Ben Barry and Professor Alison Matthews David as the international and host supervisors respectively, and interned by the Managing Editor of the journal, Jaclyn Marcus, this project will model what expanding current sites of fashion might look like, with the goal of establishing a North American collaborative network.

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Faculty Supervisor:

Alison Matthews David

Student:

Partner:

Parsons School of Design

Discipline:

Sociology

Sector:

New and Digital Media; Education; Other

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Classification, affiliation, and deanonymization of cryptocurrency activities

Bloomberg recently reported that theft and embezzlement of cryptocurrencies, such as Bitcoin and Ether, have become an annual USD $200 million business. Indeed, just between January 2021 and March 2022 investors have lost over US$1 billion in cryptocurrency scams according to the report by the US’s Federal Trade Commission. More than 46,000 people have lost money in crypto fraud since the beginning of 2021, making it the leading source of payment scams. Cryptocurrency has become a vehicle for money laundering, payments for ransomware, illicit activity, and even funding of extremist groups. As the use of crypto technology continues to proliferate, the losses are projected to increase to even larger amounts. Understanding who is a recipient (e.g., initiators of ransomware) or sender (e.g., supporters of extremists) of these funds is critical. For example, tracing the source of extremists’ facilitators can help enforce accountability, assist in mitigating and controlling the extent of their influence, and most importantly deter future similar activities. Our research aims to enable efficient and accurate blockchain accounts’ tracking, analysis, affiliation, and de-anonymization of participating entities. This project will focus on bringing our innovative research idea to market.

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Faculty Supervisor:

Natalia Stakhanova

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Computer science

Sector:

Cyber Security; Information and Communications Technology; Technology

University:

University of Saskatchewan

Program:

Accelerate

Optimisation topologique de structures mécaniques par apprentissage par renforcement

Pour appuyer l’ingénieur lors de la conception, un nouvel outil d’optimisation structurelle basé sur l’apprentissage profond sera conçu afin de diminuer le temps requis pour générer des concepts préliminaires. Cet outil tirera profit des récentes percées dans le domaine de l’apprentissage par renforcement profond, afin d’entraîner un agent décisionnel autonome à accomplir la tâche d’optimisation.
L’accélération de l’OT offre la possibilité d’appliquer cet outil sur des structures plus complexes qui présentaient auparavant un coût de calcul trop élevé. Cette innovation permettra de proposer de nouveaux outils numériques aux ingénieurs, afin de leur permettre de concevoir des produits ayant une empreinte énergétique moins grande sur l’ensemble de leur cycle de vie.
Pour des fabricants d’automobiles et des avionneurs, ceci résultera en des voitures et des avions présentant une structure plus résistante, diminuant ainsi la quantité de matériaux requise lors de la fabrication ainsi que la consommation de carburant lors de l’opération.

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Faculty Supervisor:

Sofiane Achiche

Student:

Partner:

Technical University of Denmark

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program:

Globalink Research Award

Computer vision for 3D environment recognitionin augmented reality mobile games

We propose to develop computer vision technologies for recognizing 3D environment for augmented reality (AR) mobile games. Given an image/video taken captured a mobile device (e.g. iPad), we would like to be able to recognize some useful information about the 3D environment of the game player. For example, one of our goals is to recognize whether the player is in an indoor or outdoor environment. This information will allow the game to project appropriate virtual objects and characters that interact with the user. Another goal is to recognize certain important objects (e.g. building, road, sky) in the natural scene. This information will be critical to provide a more realistic and immersive gaming experience for the players. We will evaluate current state-of-the-art computer vision techniques for this application and adapt them for the mobile platform.

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Faculty Supervisor:

Yang Wang

Student:

Partner:

ZenFri Inc

Discipline:

Computer science

Sector:

Arts, entertainment and recreation; Information and cultural industries

University:

University of Manitoba

Program:

Accelerate

Improving student team effectiveness in collaborative projects in the university classroom

Team-based activities are central to many educational environments as a way to foster collaborative learning. Despite the benefits offered, many instructors shy away from using team-based activities in the classroom due to a lack of support in forming well-balanced teams, managing and monitoring team and individual productivity, and resolving conflicts. This project brings together two parties who have independently worked on educational technologies that support team-based learning. The goal of this project is to enhance a team project management tool built by a Vancouver-based company called Ensightful with team management and analytic features that are grounded in scientific research.

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Faculty Supervisor:

Bowen Hui

Student:

Partner:

Ensightful

Discipline:

Business

Sector:

Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Development of a finite element software module for the fatigue life prediction of welded structures.

Due to modification ease, cost, and time-saving benefits, computational-based methods through the use of Finite Element Analysis (FEA) software programs is the main approach besides physical testing (accelerated durability laboratory test, in-service drive tests) for evaluating the life of welded structures in several industries. Based on guaranteed functionality, integrity, and life cycle robustness requirements in the development of engineering products, it is of utmost importance that the structure’s damage location and life cycle magnitude are predicted to a very high degree of accuracy to avoid the severe consequential effects associated with its fatigue failure. Currently available FEA software programs for fatigue evaluation are usually associated with some degree of inaccuracies due to their underlying classical approaches for weld stress extraction. In this project, an algorithm that is based on contemporary fatigue evaluation methods and significantly improves the reliability and accuracy of the predicted fatigue life of randomly loaded welded structures will be developed.

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Faculty Supervisor:

Xihui Liang

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Surface and subsurface damage segmentation using thermography and deep learning

Infrastructure facilities in Canada and many other places worldwide continuously deteriorate. Most structures either reached or exceeded their design service life. Bridges, buildings, roads, and other facilities deteriorate over time. To ensure the safety of these structures, visual inspections are routinely carried out by trained engineers. However, these visual inspections have some critical disadvantages, such as risks to the inspector, and visual inspections are time-consuming and erroneous. This study proposes an artificial intelligence-based method for surface and subsurface damage detection in structures using thermography to solve this issue. The multispectral image data will be used as input to the network to identify structural damage. The method will detect damage with high accuracy at the pixel level in the multispectral dynamic image.

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Faculty Supervisor:

Young-jin Cha

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Study the mechanism of action of UM0125461 in acute T cell leukemia (T-ALL)

Acute lymphoblastic leukemia (ALL) is the most common hematological cancer in children. 10 to 15% of pediatric cases are of T cell origin (T-ALL). Current intensive multidrug therapy can achieve high cure rates, yet associated with serious long-term adverse effects, including secondary cancers. Moreover, 15% of children will relapse, facing a poor prognosis. We previously uncovered a new drug using a chemical screen in mouse model of human T-ALL. Unraveling the mechanism of action of this new drug will open novel therapeutic opportunities to treat T-ALL patients.

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Faculty Supervisor:

Trang Hoang

Student:

Partner:

Université Catholique de Louvain

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Sustainable solution to chronic housing needs in the Canadian North

As Canada’s economy and population continue to rise, primarily due to substantial immigration, there is an urgent need for new infrastructure, in particular, in remote regions of Canada. This can be achieved through advanced technologies to improve productivity of the Canadian construction industry while reducing the environmental impact of construction. This project proposes the Self-Deployable and Reconfigurable Structures (SDRS) where a ready-to-install building unit capable of deploying itself without the need for on-site construction machinery or labour. The SDRS unit is folded efficiently for increased mobility in its original configuration, approximately the size of a truck, and then deployed on-site with the aid of a robot preinstalled on the unit. This project is the first phase of a larger research program for the development of the proposed technology where we aim to conceptualize an SDRS unit, develop engineering design and construction guidelines, create three-dimensional models and manufacture a prototype to study the validity and adequacy of the proposed technology.

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Faculty Supervisor:

Ali Imanpour

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

A Large-Scale Multi-Dimensional Analysis of Developer Information Needs

Building software systems is a complex task. Teams of developers must gather and exchange large quantities of technical and conceptual information to build reliable systems. This transfer of knowledge is mainly supported by tangible documents that contain information deemed important for different contexts. However, determining what information is important is itself challenging. The importance should be based on the information that developers need. Prior studies have revealed several typical needs, but there is still a considerable variation in the findings of different studies. In this project, we will attempt to reconcile these prior findings to establish a robust, overarching, and actionable framework of developer information needs. We will systematically review the context of prior studies, including the original researchers’ perspective and the context in which developers expressed the needs. We will also attempt to replicate the methodology of prior studies on a larger, heterogeneous data corpus. This investigation will contribute a more holistic understanding of developer needs, to indicate not only what information developer needs, but in which context they need it. The outcome of this research should help improve the quality of software documentation, but also provide a foundation to build a theory of developer needs.

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Faculty Supervisor:

Martin Robillard

Student:

Partner:

Universität Hamburg

Discipline:

Computer science

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Consumer Dynamics and Product Evaluation for the Mobile Game Clandestine Anomaly

In partnership with ZenfriInc, this project seeks tofacilitate the successful introductionof a mobile game called Clandestine Anomalyto the mobile game market. Due to the embryonic stage of the mobile game market this research will use primary and secondary research methods to create a market analysis and inform the market strategy. Firstly, this research will provide an understanding of the business environment by analyzing successful products and their marketing strategies along with industry trends and characteristics. Secondly, this researchseeks to understand the psychological needs, goals and motivations of their potential market of consumers and thus, how to create perceived value. Third, this research will integrate the unique strengths and weaknesses of Zenfriinc. into an appropriate strategy based on the insights of the primary and secondary research.The result will be an informedmarket position that is consistent with the value proposition, marketing messages and product design.

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Faculty Supervisor:

Kelley Main

Student:

Partner:

ZenFri Inc

Discipline:

Business

Sector:

Arts, entertainment and recreation; Information and cultural industries

University:

University of Manitoba

Program:

Accelerate

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