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

Automatic Image Filtering Using Deep Learning

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) are considered unsafe. It is obviously not practical to manually sift through all the images to find the unsafe ones. The objective of this project is to develop algorithms to automatically filter images and identify those that are considered unsafe. We will develop algorithms using deep learning (in particular, convolutional neural network) to identify whether an image contains any of the objects that are considered to be unsafe.

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Faculty Supervisor:

Yang Wang

Student:

Md. Atiqur Rahman

Partner:

Two Hat Security Research Corp.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Manitoba

Program:

Accelerate

Identifying Fraudulent E-Commerce Behaviour via Robust Anomaly Detection

The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both a comparative study between the approaches and possibly produce an enhanced algorithm which applies both methods appropriately. The intern will be exposed to a variety of new methodologies, acquire a deep understanding of techniques in operations research and its application to fraud prevention.

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Faculty Supervisor:

Viliam Makis

Student:

Larkin Liu

Partner:

Paytm Labs

Discipline:

Engineering - mechanical

Sector:

University:

University of Toronto

Program:

Accelerate

An Advanced Machine Vision-Based System for the Recognition and Counting of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are
likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.
By contrast, they are not available in India, where the number and similarity of the coins make for a very challenging problem. The objective of this project is to determine whether advanced machine vision techniques are able to sort coins from India with acceptable speed and accuracy.
If the answer is yes, then the outcome will be used to develop a machine that can recognize and count Indian coins, with Indian banks as the initial market.

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Faculty Supervisor:

Brian Surgenor

Student:

Vedang Chauhan

Partner:

9293507 Canada Inc.

Discipline:

Engineering - mechanical

Sector:

University:

Queen's University

Program:

Accelerate

Dreamcatcher Informatics: A Web-based/Mobile Information System for Aboriginal Land Management, Consultation, and Preservation of History, Culture, and Traditional Ecological Knowledge

The role of this internship is to assist in reaching the SSHRC goal for the Dreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use, creating as full a historical, cultural, and economic record as possible, as well as strong land use management/consultation, water and asset management, and public health systems. This information will inform cultural research, treaty negotiations, and community development. This goal will be reached by the intern: (i) contribute to the Dreamcatcher database and GIS system by assessing concerns, utility, and potential applications from the legal perspective, (ii) research issues of admissibility and reliability of information as they related to the Dreamcatcher system and future legal claims, (iii) make recommendations in relation to information, GIS and the Dreamcatcher system as it relates to Mississaugas of the New Credit First Nation land and water claims.

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Faculty Supervisor:

Celia Haig-Brown

Student:

Sabina Chatterjee

Partner:

8392692 Canada Inc.

Discipline:

Education

Sector:

Management of companies and enterprises

University:

York University

Program:

Accelerate

Flotation of high-organics fine phosphate particles

This research project seeks to improve the process which is used to recover fine phosphorous particles from mine tailings. Phosphorus based fertilizers are important for plant growth and essential to large-scale, high-efficiency farming methods. However, the processing method used to obtain phosphate from phosphate-bearing ore is not very efficient. Upward of 13 % of the available phosphate is lost to the waste stream during processing, which represents a major inefficiency and creates a large environmental problem. This research will consider the reaction conditions, such as mixing time and temperature that contribute to the improved recovery of phosphate during the reprocessing of mine tailings. As a result of this project, the industrial partner, a firm specialized in environmental consulting, will have an improved understanding of the behaviour of fine phosphate particles during reprocessing. This knowledge will contribute to the development environmental remediation strategies for phosphorous-bearing mine tailings.

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Faculty Supervisor:

Marek Pawlik

Student:

Michael Ryan MacIver

Partner:

Albatross Environmental and Process Consulting

Discipline:

Engineering

Sector:

Environmental industry

University:

University of British Columbia

Program:

Accelerate

Secondary cataract assessment in eyes implanted with different intraocular lenses

Cataract surgery is one of the most common surgeries performed worldwide. The incidence of posterior capsule opacification (PCO) after cataract surgery, a serious complication that affects vision and requires additional treatment, is ~30%. In this study, we will investigate differences in PCO, presence of fibronectin, and ciliary ring distortion between lenses in eyes obtained from private and public eye banks. Overall, 500 eyes from patients with intraocular lenses will be analyzed. PCO, presence of fibronectin, and ciliary ring deformation will be assessed by experienced pathologists. We believe that our results will corroborate a pilot project in which eyes implanted with Acrysof and Acrysof Natural lenses (Alcon Laboratories) will experience less PCO relative to other lens types. Alcon will be able to market their products using these data. Moreover, healthcare providers will be encouraged to increase their use of the Acrysof products, thereby reducing the the overall burden of PCO.

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Faculty Supervisor:

Miguel Burnier

Student:

Patrick Logan

Partner:

Alcon Canada

Discipline:

Medicine

Sector:

Life sciences

University:

McGill University

Program:

Elevate

Development of a Self-Regulatory App for Adults with Celiac Disease

Celiac disease is an autoimmune dysfunction that requires strict adherence to a gluten-free (GF) diet in order to prevent detrimental health outcomes. Following a strict GF diet is difficult given that gluten is added as a preservative or binding agent to many foods. Findings from a review suggest strict adherence to a gluten-free diet is as low as 42%. As such, poor adherence to a GF diet is an emerging health concern for people living with celiac disease. The goal of this study is to develop and evaluate an evidence-based app to help people manage celiac disease and follow a nutritious, strict GF diet. The app will be revised based on findings from this initial evaluation work. It is expected that the app will be well-received and lead to improvements in patient-reported outcomes. The benefit to the Calgary Celiac Association is that the app will provide a much needed tool to help their members (i.e., people living with celiac disease) to improve management of their chronic disease.

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Faculty Supervisor:

Nicole Culos-Reed

Student:

Justine Dowd

Partner:

Calgary Chapter of the Canadian Celiac Association

Discipline:

Kinesiology

Sector:

Medical devices

University:

University of Calgary

Program:

Accelerate

Development and Evaluation of a Rapid Diagnostic Assay for Avian Influenza to the Point of Care Setting

Ontario’s chicken industry contributes $2.72 billion to Canadian economy, and supports 19,183 full-time equivalent jobs (Ontario Chicken Industry Report, 2013). To date, 2015 has seen 309 individual outbreaks of avian influenza (AI) reported to the World Organization for Animal Health, a 147% increase on outbreaks reported in 2014. In Ontario alone, 29 farms were quarantined in April 2015 due to AI outbreak (CFIA, 2015). Type A, especially strains A (H5N2 and H5N1) and A (H7N9), has proven to be deadlier, putting governments and farmers alike under pressure to ensure the health of birds and ultimately the people who consume them. Preventing the spread of the infection with effective surveillance through early diagnosis is the best way to keep the disease under control. To meet the challenges of food security and production efficiency in Canada’s poultry industry, we propose to develop and evaluate a rapid, electrochemical biosensor assay with superior sensitivity and specificity with a miniaturized electrochemical sensor assembly as a portable device for pen side diagnosis of avian influenza virus from poultry. A rapid diagnostic tool would allow veterinarians and farmers to make early diagnosis, and will enhance rapid management decisions to control or treat the flu outbreaks.

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Faculty Supervisor:

Suresh Neethirajan

Student:

Murugan Veerapandian

Partner:

Canadian Poultry Research Council

Discipline:

Engineering

Sector:

Nanotechnologies

University:

University of Guelph

Program:

Accelerate

Next Generation Selective Nanocomposite Fibrous Membrane for Energy Recovery Ventilators

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and moisture from an exhaust contaminated indoor air are captured via ERV and recycled for conditioning entering outdoor air, ultimately resulting in energy savings and improving the indoor air quality of buildings. A membrane with high water vapor transport and selectivity over gases plays a key role in ERV to improve its efficiency of energy recovery and savings. A nanofibre technology and graphene chemistry will be applied to the development of the next generation ERV membranes. At the final stage, scaled-up nanocomposite fibrous membranes will be combined with the ERV devices designed by dPoint Technologies.

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Faculty Supervisor:

Frank Ko

Student:

Taesik Chae

Partner:

DPoint Technologies Inc.

Discipline:

Engineering

Sector:

Alternative energy

University:

University of British Columbia

Program:

Elevate

A Framework for Development of Rediscovered Wood Underwater Salvage Certification Standard

“Underwater logging is the process of logging trees from underwater forest. It is expected that underwater logging will significantly increase in the coming years as the amount of flooded forests continue to grow due to dam construction and the availability of sophisticated underwater logging technology. Concerns about potential negative effects of underwater logging, like degradation of water quality and disturbed fish habitat, have led to the demand for sustainability criteria and certification system that can control underwater logging. Because neither such criteria and indicator sets nor certification systems for underwater logging are yet available, the objective of this study is to generate information that can help to develop sustainability criteria and indicators for underwater logging.Coast EcoTimber will be benefited through aligning its practices according to the specific requirements of the proposed framework of underwater logging standard to improve the marketability of their products and the transparency to the consumers. “

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Faculty Supervisor:

John Innes

Student:

Haris Gilani

Partner:

Coast EcoTimber Inc.

Discipline:

Forestry

Sector:

Natural resources

University:

University of British Columbia

Program:

Elevate

Developing bacterial inoculant promoting crop growth and health

The development of beneficial bacterial inoculant as biopesticide and biofertilizers is directly beneficial to agricultural producers through the preservation and enhancement of crop quality and yield. At present, a limited spectrum of naturally occurring microorganisms have been developed for directed, commercial agricultural applications in Canada. Engage Agro Corp is interested in developing bacterial inoculants with commercial potential to expand its business and service to Canadian agriculture. P. polymyxa CR1 is identified as a promising candidate for commercial application as both a biofertilizer and biopesticide. Through this project, we will carry out greenhouse study to determine a fixed concentration of P. Polymyxa strain CR1 and other necessary constituents in order to formulate bacterial inoculants that can be supplied to growers to enhance crop growth, health and yield. The current research project addresses a technology gap in agriculture and strives to develop a viable, biologically-based platform for increased productivity and biopesticide uses in Canadian agriculture. The work is a necessary step moving from laboratory trials to greenhouse studies in order to move next step to commercial-scale testing.

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Faculty Supervisor:

Ze-Chun Yuan

Student:

Rafiqul Islam

Partner:

Engage Agro

Discipline:

Biology

Sector:

Life sciences

University:

Western University

Program:

Accelerate

Exploring cloud computing paradigm for Telecommunication Applications

For economical and simplification purpose Operators in the Telecom market are looking to move as much as possible of their infrastructure from traditional deployment to Cloud deployment. However Cloud deployment of IMS still need to be defined and developed. This project aims at bringing further the knowledge for such a deployment and helping guide future development for Ericsson. This project focuses on providing future directions for the development of an IP Multimedia System (IMS) in a Cloud environment. Sharing resources throughout the network in a Cloud environment has many advantages in terms of the cost, maintenance, reliability and scalability. Through this project software architectural options for the design of an IMS adapted to the cloud programming paradigm will be evaluated. Based on those findings an existing prototype solution will be expanded and deployed on industrial hardware in a customer like environment to evaluate its viability.

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Faculty Supervisor:

Fabrice Labeau

Student:

Mahdy Nabaee

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Education

University:

McGill University

Program:

Accelerate

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