Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Experimental Study on Vectorbloc Connection Used in Modular Construction

Modular construction has been gaining its popularity and momentum because it is a cheaper and faster way to build buildings and other structures. Vectorbloc Corp., located in Toronto has developed the concept of steel tubular modular construction using hollow structural steel (HSS) members. This modular construction will use various connectors and assemblies. The primary connector to be used in the HSS-based modular building construction is called Vectorbloc connector which is a cast-steel connector that facilitates the efficient design and construction of volumetric modular steel building structures. This research will undertake full-scale tests on Vectorbloc connections to be used in modular constriction. Various load combinations will be applied to simulate axial loading on the Vectorbloc connector. These tests will be undertaken in the structural engineering testing laboratory newly built at the University of Windsor and test data will be used to validate the concept modular construction developed by Vectorbloc Corp.

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Faculty Supervisor:

Sreekanta Das

Student:

Mohammad Ali Mohtadi Bonab

Partner:

VectorBloc Corp

Discipline:

Engineering - civil

Sector:

Advanced manufacturing

University:

University of Windsor

Program:

Accelerate

A new paradigm for the discovery of anti-cancer drugs based on tumour RNA disruption

While chemotherapy drugs are effective in combating tumour growth in cancer patients, many such drugs permit the development of drug-resistant tumours and progression of the disease. We have observed that several chemotherapy agents induce the degradation of tumour cell ribonucleic acid (RNA) in the laboratory and in cancer patients. We have further shown that this RNA degradation is associated with complete tumour destruction after-treatment. Our recently developed assay to quantify RNA degradation in tumour cells may thus prove to be a very sensitive, quantitative, high throughput, and preferred method for the discovery of anti-cancer drugs that will commit tumours to complete destruction. The study to be performed by the intern will assess this hypothesis in comparison to the current “gold standard” for anti-cancer drug discovery (the “clonogenic” assay).

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Faculty Supervisor:

Carita Lanner

Student:

Samantha Innocente

Partner:

Rna Diagnostics

Discipline:

Medicine

Sector:

Education

University:

Laurentian University

Program:

Accelerate

Photoredox Fluorination: Selectively Synthesize 2-fluoro-2-methyl-2-deoxyarabinolactone Derivatives via a Radical Pathway

Nature’s ability to convert solar energy to chemical energy in photosynthesis has inspired the development of a host of photoredox systems in efforts to mimic this process. The capacity of fluorine atoms to engender a variety of useful properties in pharmaceuticals, agrochemicals, and performance materials has driven significant research efforts toward the invention of novel fluorination reactions. We
proposed to construct C-F bonds by photoreodox catalysis via a radical pathway. Our project will bring potential benefit to academia and industry. (1) Due to the novelty of the proposed idea using photoredox catalysts in C-H functionalization, it will be a highly efficient process to construct C-F bonds and applicable to a broad range of academic fields. (2) 2-fluoro-2-methyl-2-deoxyarabinolactone derivatives were selectively synthesized, which has many intrinsic advantages such as higher atom economy, cheaper starting materials, easier manipulation and more environmentally benign. Undoubtedly, this project will be of considerable interest for chemical industry and other related fields

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Faculty Supervisor:

Frederick West

Student:

Zhenhua Jia

Partner:

TC Scientific Inc.

Discipline:

Chemistry

Sector:

Pharmaceuticals

University:

University of Alberta

Program:

Accelerate

Behavioral Analysis of H1 Reconstruction in New Software Environments

The precise prediction of fluid behavior is required in many fields of engineering. Fluid flows are governed by a complex system of continuous partial differential equations (PDEs) which rarely have an exact analytical solution. Computational Fluid Dynamics (CFD) has emerged as a leading method of analyzing fluid flows, by numerically solving the respective PDEs. Current methods in finite volume schemes of CFD on unstructured meshes have two major sources of errors: noise in the reconstructed gradients and lack of cancellation during flux integration. Our new second-order “H1 reconstruction” scheme produces a smoother, more accurate gradient than traditional “Least-squares reconstruction” when applied to smooth solution data. We will be analyzing the behaviour of this new reconstruction when implemented in a different software environments. This would provide very valuable insights into the behaviour and adaptability of the new scheme. Successful application of our proposed new scheme entails substantial improvement in the accuracy for the flow solver of ANSYS Ltd. (FLUENT), with an affordable increase in computational cost.

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Faculty Supervisor:

Carl Ollivier-Gooch

Student:

Chandan Sejekan

Partner:

ANSYS Inc.

Discipline:

Engineering - mechanical

Sector:

Oil and gas

University:

University of British Columbia

Program:

Accelerate

Identity Fraud Detection through Anomalous Login Patterns Mining

Identity fraud is spreading fast and causing more and more damages both financially and sociologically. Identity fraud occurs when a criminal impersonates another individual by taking on that person’s identity or by creating a fake identity for whatever reason. The project will investigate and develop a new model for identity fraud detection based on login sequence, history and context. Analysis of such information using data mining will allow tracking individual login behaviors and identifying anomalies and inconsistencies in login occurrences that potentially point to fraudulent activities. The outcome of the proposed research will be implemented as an add-on to the existing flagship authentication platform of the partner organization.

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Faculty Supervisor:

Mihai Sima

Student:

Amany Abdelhalim

Partner:

Plurilock Security Solutions Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Integrating Computational Linguistics into Game Analytics

Game analytics is a rapidly growing and increasingly important quantitative element of game development in which player and play data is analyzed to discover actionable information to guide monetization and future development activities. Textual and linguistic analyzes are rarely (if ever) used in practice for game analytics, yet these techniques could provide a wealth of valuable new information from social media, community sites, and other sources that to date remain untapped. The purpose of the proposed project is to leverage the state-of-the-art in textual analysis and computational linguistics to create innovative analytics tools and methods that fill a critical gap and add an important new dimension to game analytics. The technologies created through this work will be integrated with systems in use in the partner organization, Big Blue Bubble, giving them an important advantage in a highly competitive marketplace.

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Faculty Supervisor:

Michael Katchabaw

Student:

Lareina Milambiling

Partner:

Big Blue Bubble Inc.

Discipline:

Computer science

Sector:

Media and communications

University:

Western University

Program:

Accelerate

Development of twin-electrode electric arc furnace for resource recovery

Our ever-increasing needs for material and energy to sustain our modern lifestyle put an increasingly difficult-to-bear stresses on the extraction, harvesting, transformation and utilization of natural resources and their disposal (or waste), which ultimately lead to environmental, economical, political and societal consequences. Researchers from PyroGenesis Canada Inc. and the Plasma Processing Laboratory of McGill University have recognized the potential of the electric arc furnace technology to provide solutions to these major issues while providing opportunities for economic growth and creating more high-tech job opportunities to Canadians.

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Faculty Supervisor:

Sylvain Coulombe

Student:

Felipe Aristizabal

Partner:

PyroGenesis Inc.

Discipline:

Engineering - chemical / biological

Sector:

Energy

University:

McGill University

Program:

Accelerate

Developing Practical Tools for Increasing Health Literacy Related to HIV

Since low health literacy is associated with poor health outcomes (e.g., poor management of chronic diseases – like HIV), which impacts the cost of healthcare in Canada, the current project aims to mitigate the effects of low health literacy. A recent report released by the Ontario HIV Treatment Network (OHTN) highlighted that considering health literacy skills of health care providers is equally important as the users of information. This project will generate practical materials (modules, tools, graphics for website development, etc.) for improving health literacy that will be distributed by OHTN to front-line service providers working with populations at risk for and those already living with HIV. The aim of this project is to improve the resources made available to encourage greater health literacy/numeracy on HIV among both service providers and their clients/patients and to develop a standard set of research protocols for OHTN’s future projects examining health literacy/numeracy.

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Faculty Supervisor:

Ken Cramer

Student:

Shayna Skakoon-Sparling

Partner:

Ontario HIV Treatment Network

Discipline:

Psychology

Sector:

Education

University:

University of Windsor

Program:

Accelerate

Optimization of pressing/ drying conditions and solid content of Maple kraft pulp for the production of paper tissue products

Irving Pulp and Paper is part of J. D. Irving and a leading market pulp producer located in Saint John, New Brunswick, Canada. A significant portion of its product is Maple kraft pulp, which is sent to Irving Tissue, which produces premium tissue products for its customers throughout North America. The softness of tissue paper is critical property can be affected by the fiber hornification during pressing and drying processes. This project will optimize the pressing/drying operation in the market pulp manufacturing process so that the resulting pulp can possess optimum properties for the production of high-quality tissue products. The intern is expected to gain practical experience related to the kraft pulp processes and their manufacturing conditions related to the tissue paper production.

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Faculty Supervisor:

Yonghao Ni

Student:

Yishan Liu

Partner:

Irving Paper Ltd.

Discipline:

Engineering - chemical / biological

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

Optimizing response prediction by an interactive tutoring system

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better be able to gauge and represent the knowledge levels of individual learners, based on their answers to questions posed by the system. The system will also be able to generate an appropriate study plan for each individual learner, consisting of a sequence of questions tailored to the learner’s knowledge level. The improved system should remain scalable, and able to serve many learners simultaneously in a real-time fashion.

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Faculty Supervisor:

Sheila McIlraith

Student:

Vishal Raheja

Partner:

NeuRecall Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Generation of few photons and photon pairs with engineered beams carrying angular momentum

Cylindrical vector beams (CVBs) are a class of non-conventional beams of laser light that exhibit spatially varying polarization properties and zero intensity along the propagation axis. CVBs have received significant interest due to their peculiar focusing properties when used in combination with high numerical aperture optics. CVBs are also especially important at the limit of few photons/photon pairs for applications in quantum information processing and quantum data storage. The main objective is to develop new effective techniques (combined with beam shaping and nonlinear optics) for the generation of novel photon beams carrying angular momentum, and to control this spatial degree of freedom of light so to create the entanglement of the intrinsic angular momentum of photon pairs. Based on preliminary results, a new type of photon emitters can be realized, and this can be turned into a new line of products for our partner, OptoElectronic Components Inc., giving it a strong commercial advantage.

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Faculty Supervisor:

Roberto Morandotti

Student:

Yanbing Zhang

Partner:

OptoElectronic Components

Discipline:

Physics / Astronomy

Sector:

Advanced manufacturing

University:

Université INRS

Program:

Accelerate

Framework for dialogue and learning with parents and professionals in the Central Okanagan; an examination of learning (related to stigmatization) across relations of power.

This research will create opportunities for reflection and dialogue with a group of professionals in the Central Okanagan regarding parents’ perceptions and experiences of stigmatization. Dialogue will focus on enhancing professionals’ understanding of underlying structural and social factors contributing to stigmatization and the implications of this understanding for their practice. The research draws from Participatory Action Research and Critical Pedagogy. Methods used will be narratives and focus group discussions. CATCH and SB6 are coalitions that bring stakeholders together to address Early Childhood Development and parenting in the Central Okanagan. The Bridge and the United Way, the registered agencies supporting CATCH and SB6, will benefit from a more comprehensive knowledge through this project to enhance the relevancy, efficiency and effectiveness of the practices to support parenting. Apart from The Bridge and the United Way, all other agencies, connected through CATCH and SB6, will equally benefit from knowledge collectively generated.

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Faculty Supervisor:

Judy Gillespie

Student:

Menno Salverda

Partner:

Bridge Youth & Family Services Society

Discipline:

Social work

Sector:

Service industry

University:

University of British Columbia Okanagan

Program:

Accelerate

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