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

Extension of feature selection with a ML algorithm for wireless network traffic prediction

The release of 5G network in near future will provide reliable connectivity, higher throughput, better service quality, and more efficient signaling. The network traffic load will continuously rise with more and more mobile users using the internet services. There is a need to forecast wireless network traffic load to manage network resources efficiently and provide better quality of service. This network traffic dataset is complex and nonlinear in nature that contains large number of variables. The proposed research will combine the feature selection techniques with an advanced machine learning (ML) method to handle this network traffic dataset, which employing 4 feature selection techniques to extremely reduce the data size with keeping significant features in the dataset, and further result in the increasing of the prediction accuracy for the ML model. The feature selection aids in better prediction accuracy of machine learning algorithm on wireless network traffic with overall interpretability of the prediction model.

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Faculty Supervisor:

Wei Peng

Student:

Surya Pusapati

Partner:

Discipline:

Engineering

Sector:

University:

University of Regina

Program:

Accelerate

Interactive, place-based mapping of climate analogs in Yukon’s mountain regions to inform tree species selection in areas of rapid climate change.

Research problem: Reclamation practitioners must consider seed source for revegetation measures that maximize long-term resilience of reclaimed sites in regions undergoing rapid climate change. Climate analog mapping, relating climate of a space at a point in time to that of another, can help identify location of seed sources best adapted for current and future climates. Climate analogs published for northern mountain regions have not incorporated topo-edaphic (slope and aspect) factors that can modulate climate sensitivity and growth of canopy forming tree species.
Objectives: The goal of this internship is to develop an interactive, place-based, climate analog tool specific to Yukon’s boreal tree species using biologically meaningful climate variables determined from tree-ring, climate, and topo-edaphic relationships.
Anticipated Outcome: This research will inform selection of seed stock for forest ecosystem reclamation by linking historic growth response of tree species to their contemporary and future climate analogs.

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Faculty Supervisor:

Andreas Hamann;Fiona Schmiegelow

Student:

Nadele Flynn

Partner:

Alexco Resource Group

Discipline:

Resources and environmental management

Sector:

University:

University of Alberta

Program:

Accelerate

Evaluation of novel approaches to improve the medical information consumption experience for physicians

Patients expect doctors to provide them with the best available care, but it can be overwhelming for doctors to stay current on an enormous amount of new medical information. The medical staff of pharmaceutical companies create educational resources that are uniquely useful but not often used by doctors. These resources are valuable because they summarize relevant research papers for specific topics regarding the uses of companies’ medicines and keep them up to date. Doctalk is a Toronto-based technology company developing an application to connect doctors to these educational resources and with the goal of making the use of these resources more meaningful and practical. First, this project will uncover the reasons why doctors are not using these resources. Second, using this understanding, we will propose improvements for the application using standard technologies. Finally, we will test a few cutting-edge technologies being used in other fields to see if the learning experience for doctors can be improved even more.

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Faculty Supervisor:

Ebrahim Bagheri

Student:

Brooke Acton

Partner:

Doctalk Inc

Discipline:

Engineering - biomedical

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Mitigation strategies for acrylamide formation in the bakery sector

Acrylamide is a food contaminant that is formed in a variety of food products upon heating. Baked cereal products are one of the most important sources of acrylamide in our daily diet. The formation of acrylamide needs to be tightly controlled, and, if possible, be avoided. This project is focusing on the effect of ingredient choice and preprocessing, and final product processing on acrylamide formation in the bakery sector. A better understanding of factors influencing the acrylamide formation kinetics is urgently needed. Through this project and close collaboration between the industry and academia partners, a more rational approach to mitigation of acrylamide formation in baked goods will be developed meeting one of the focus points of Health Canada

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Faculty Supervisor:

Iris Joye;Maria G Corradini

Student:

Mauricio Espinal-Ruiz

Partner:

Ontario Cereal Industry Research Council

Discipline:

Food science

Sector:

Manufacturing

University:

University of Guelph

Program:

Presence of AM dikaryosis in a culture collection and its impact on plants

Arbuscular mycorrhizal fungi (AMF) are essential for plant growth, yet their genetics are very poorly understood. The proposed research aims to identify the genetic identify and symbiotic potential of AMF strains currently cultivated by an industrial partner. The ultimate goal is to determine if a certain AMF genotype can be beneficial to boost the yield of certain crops, or to produce better bio-fertilizers. This work will be done by combining a variety of molecular techniques, including digital droplets and Sanger sequencing. These techniques will be complemented using high-throughput genome Illumina sequencing that require large-scale computation power, which is readily available in the laboratory of Dr. Corradi.

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Faculty Supervisor:

Nicolas Corradi

Student:

Vasileios Kokoris

Partner:

Valent Canada

Discipline:

Biology

Sector:

Agriculture

University:

University of Ottawa

Program:

Improving Service Life of Graphite Component Through Advanced Coating

Kelvin Thermal Storage is developing a technology to convert the inexpensive, off-peak/excess or renewable energy into a thermal energy. The technology uses graphite as the heat storage media and carbon composites as heating elements. In order to protect the carbon based components from oxidation by the heat-carrying media (an inert gas containing trace amounts of oxygen), coating of the elements is proposed and being investigated in this work. The coating method will be using electrodeposition of silicon onto carbon to form a silicon carbide layer, which on oxidation forms a protective silica layer. In this research, two major aspects will be investigated: synthesis of the silicon carbide layer and its characteristics, and performance of the carbide-coated carbon elements in terms of oxidation resistance at elevated temperatures and long service time.

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Faculty Supervisor:

Mansoor Barati

Student:

Abdolkarim Danaei

Partner:

Kelvin

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

A reconciliation of the top-down and bottom-up approaches to risk capital allocations

Two overarching approaches to allocate the aggregate risk capital stand out nowadays. These are the top-down approach that entails that the allocation exercise is imposed by the corporate centre, and the bottom-up approach that implies that the allocation of the aggregate risk to business units is informed by these units. Briefly, the top-down allocations start with the aggregate risk capital that is then replenished among business units according to the views of the centre, thus limiting the inputs from the business units. The bottom-up approach does start with the business units, but it is, as a rule, too granular, and so may lead to missing the wood for the trees.
In this research project, we will connect the bottom-up approach to allocate the aggregate risk capital to a general class of Dirichlet distributions defined on the n-dimensional simplex. The new class, which is called herein “mixed-scaled Dirichlet distributions’’ contains the classical Dirichlet distribution as a special case, exhibit a multitude of desirable closure properties, and emerge naturally within the multivariate risk analysis context.

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Faculty Supervisor:

Ricardas Zitikis;Edward Furman;Ida Ferrara

Student:

Batur Celik;Nawaf Mohammed

Partner:

RBC Royal Bank

Discipline:

Other

Sector:

Finance, insurance and business

University:

Program:

Accelerate

Hard Anodising of A205 Aluminum Alloy

The future of aerospace technology relies on us investing in lighter, more fuel-efficient materials that can operate at hotter temperature with greater corrosion resistance. One such alloy that has the potential to meet these needs is the new aluminum alloy A205. In this work we aim to develop a hard anodising process for the A205 alloy, enabling it to perform in more demanding environments. The hard anodising surface treatment will combine corrosion resistance with wear resistance opening up new avenues of applications for the A205 material.

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Faculty Supervisor:

Mathieu Brochu

Student:

Amy Nommeots-Nomm

Partner:

Pratt & Whitney Canada

Discipline:

Engineering

Sector:

University:

McGill University

Program:

Development of an innovative UV-LED based platform for horticultural applications

We are proposing an innovative platform (The Airbox) for vertical/indoor farming using UV-LED lighting. The Airbox offers a self-contained, highly controlled environment with vertical farming techniques in conjunction with hydroponic methods all in a very compact footprint. We wish to optimize the Airbox for medical Cannabis applications, and extend its applicability to other plants and crops.

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Faculty Supervisor:

Habiba Bougherara

Student:

Abderrahmane Djabali

Partner:

BrezaWorks Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Ryerson University

Program:

Blockchain-based data integrity verification scheme for cloud storage

With the development of information technology, people’s requirements for computing storage capacity are also increasing. And cloud storage is an important part of the system architecture for implementing cloud platform. Although many studies believe that cloud platforms provide a reliable and secure data storage center, the security problem is still the main problem in cloud storage. In particular, data integrity is a core security issue in reliable cloud storage. In traditional solutions, users need to rely on the third-party audit for data integrity verification. In this project, we present a data integrity verification framework based blockchain technology in cloud storage, which provides a more open and transparent, auditable data verification solution. In this data integrity verification framework, the blockchain will replace the third-party audit, and the users submit the data integrity verification request to the cloud platform, apply the smart contract technology for integrity verification. Coinchain has plans to take cloud platform management as its future development direction. The project outcome will not only help industry partners upgrade traditional blockchain business and promote business expansion in cloud computing related projects.

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Faculty Supervisor:

Jiangchuan Liu

Student:

Jeungeun Rachel Song

Partner:

Coinchain Capital

Discipline:

Computer science

Sector:

University:

Simon Fraser University

Program:

Developing an affordable north seeking gyroscopic compass for aerospace, construction, mining and tunneling applications

ApoSys is applying the new method to develop an affordable north seeking gyroscopic compass for multiple applications. The cost of such device is too high to be used in many industrial processes. For example the mining industry the device is shared by a few groups of workers to reduce the cost. It has problems for the long standby time, low productivity, and increased cost. The similar scenario is exiting in other industries. Our innovation will make the same standard device with 30 to 50% cost so that it will help improve the productivity and save labor, time and money for customers.

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Faculty Supervisor:

Barth Netterfield

Student:

John Hartley

Partner:

ApoSys Technologies

Discipline:

Physics / Astronomy

Sector:

Manufacturing

University:

University of Toronto

Program:

Acoustic Emission Testing for Damage Assessment of Reinforced Thermoplastic Pipes

The industrial partner is fabricating fiber-reinforced thermoplastic composite polymer pipe products for use primarily in the oil and gas sector. This research project explores methods for damage and leakage detection for these piping systems. Of primary interest is Acoustic Emission (AE) testing to isolate, localize and identify damage effects. In this context, the design and manufacture of suitable composite samples shall be undertaken, followed by controlled experimental testing applying different mechanical loading scenarios. The project also involves supporting the identification and procurement of suitable AE equipment. The project further progresses to identifying and characterizing different types of damage events in composite structures. The study of methodologies for triangulating damage locations and creating monitoring algorithms, as well as considering and contrasting alternative damage and leakage detection methodologies will conclude the project.

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Faculty Supervisor:

Pierre Mertiny

Student:

Hadi Nazaripoor

Partner:

Shawcor

Discipline:

Engineering - mechanical

Sector:

University:

University of Alberta

Program:

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