Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Optimization of Long-Term Planning of Mining Operations

To determine the infrastructure and their equipment needs throughout the life of a mine, mining companies solves a long-term planning problem that aims at determining the mining sequences that will maximize the net present value of profits while taking into account operational constraints. These problems are very difficult to solve because of their huge size. Furthermore, various types of uncertainties (e.g., on prices, deadlines, activity durations) should be considered. In this project, the intern will develop various mathematical optimization models and methods to solve these problems that will allow to compute near-optimal mining sequences in reasonable computing times. The expected benefit for the partner organization will be an increase in operational productivity which will translate in a market share increase by offering better competitive sale prices to their customers.

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Faculty Supervisor:

Guy Desaulniers;Michel Gamache

Student:

Partner:

Rio Tinto Alcan (Jonquière, QC)

Discipline:

Mathematics

Sector:

Manufacturing; Mining; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Joint burst image denoising and deblurring

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. The former will result in blurry images due to handshake and scene motion, and the latter will yield noisy images. We will explore methods that combine complimentary information from both types of images captured from two separate cameras synchronously. This is particularly interesting for Samsung since modern smartphones already have multiple rear-facing cameras that can be used for this purpose. In this project, we will build on state-of-the-art deep learning models for denoising and deblurring, and explore how to fuse them to jointly process synchronized short and long exposure images.

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Faculty Supervisor:

Marcus Brubaker

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology; New and Digital Media

University:

University of Toronto

Program:

Accelerate

Source-level change data capture of persisted smart-contract state

Smart contracts are computer programs on the Ethereum network. For a variety of reasons, such as security concerns, we would like to be able to analyze these smart contracts. However, the source code is only available for a limited subset of these contracts. But, the result of the compilation of these contracts, the bytecode, is available for all smart contracts. The main goal of this work is the decoding of smart contracts’ bytecodes. The path towards this goal is automated decompilation of the bytecode. But, current decompilation tools are not compatible with the ethereum bytecode. So, we will first translate ethereum bytecode into a form amenable to known decompilation approaches. Then, we will transform it into a program maintaining its original semantics and data.

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Faculty Supervisor:

Chen Feng;Victoria Lemieux

Student:

Partner:

Covalent

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Design and Evaluation of Novel Histone Deacetylase 6 Inhibitors for Therapeutic Applications in Medulloblastoma and Glioblastoma

Brain cancers represent one of the most aggressive tumors that are especially challenging to treat through drugs, partially due to the inherent protection by the blood-brain barrier. Therefore, developing drugs that have specific chemical properties that allow them to cross the blood-brain-barrier, while simultaneously retaining their drug-like features is a heavily sought-after approach in treating brain cancers. One of the current approaches, is to target a protein called HDAC, a protein crucial in disease progression. Although there are 4 FDA-approved drugs that target HDAC6 on the market, they suffer challenges such as limited potency, selectivity, and brain penetration, resulting in limited therapeutic response while eliciting severe toxicities in patients. Herein, we aim to optimize our current molecules to enhance drug-like properties and evaluate their efficacy in relevant animal models to design better treatments

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Faculty Supervisor:

Patrick Gunning

Student:

Partner:

HDAX Therapeutics

Discipline:

Life Sciences

Sector:

Agriculture; Education; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Analyzing User Reviews of Mobile Applicationsusing Natural Language Processing

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam detection. The result of the research will be developed into a deliverable solution. One use of the review analysis system is to retrieve valuable information for the game development team in order to improve the game. It can also be used as a competitive intelligence tool to identify strength and weaknesses of competing products. EA All Play, the partner organization, is expected to be able to extract information about a given mobile game in an efficient and timely way.

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Faculty Supervisor:

Graeme Hirst

Student:

Partner:

Electronic Arts Canada (Kitchener, ON)

Discipline:

Computer science

Sector:

New and Digital Media; Technology

University:

University of Toronto

Program:

Accelerate

Building a Digital Twin of the Pearson Airport

In the proposed project, the GTAA will work with GBC faculty, students and graduates with the knowledge of the latest BIM technology tools and processes to help with the implementation of the innovative technological solutions in the Architectural and Engineering Data department. The interns will help the GTAA to create 3-dimensional Building Information Models (BIM) of Terminal 1 and 3 interiors, including collection and input of asset data, as well as models of MEP services and civil services in various areas of the airport. This will ultimately support the creation and utilization of the Digital Twins of the airport facilities, which will be used to enhance communication and collaboration, maximize efficiency, and minimize cost of construction and operations on the airport and thus support GTAA’s extensive capital improvement plan to provide world-class airport passenger and partner experience and slowly recover from the pandemic.

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Faculty Supervisor:

Elmira Nezami Far

Student:

Partner:

Greater Toronto Airports Authority

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

George Brown College of Applied Arts and Technology

Program:

Business Strategy Internship

Producing high-purity rare earth metals

In line with NeoCtech’s strategic goal to make a circular supply chain of permanent magnets in North America, a techno-economically and environmentally friendly metallization of rare earth elements is still a serious challenge. This project is about developing an efficient and sustainable process to convert rare earth metal oxides to highly pure rare earth metals via a clean and viable process. The output, high-purity rare earth metals, has a commercial potential for manufacturing electronic products and high-performance magnetic motors without a risk of supply shortage. The ¬findings of this research can signi¬ficantly impact future rare earth refi¬ning processes through applying the innovative proposed method.

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Faculty Supervisor:

Jamal Chaouki

Student:

Partner:

neoCtech Corp.

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

Polytechnique Montréal

Program:

Accelerate

LCA methodology for assessing the impacts of microfibers on marine ecosystem quality and application in a case study of activewear

In the proposed project, the intern will do a thorough environmental assessment of different activewear textiles. The methodology used is called life cycle assessment, and allows quantifying various environmental impacts (e.g. climate change, water use, impacts of toxic chemicals) among the entire supply chain (resource extraction, textile and cloth production, transportation, retail, consumer use of activewear and disposal). To date, life cycle assessment does not include a methodology for assessing the potential impacts of microfibers released during textile use and washing. Therefore, the first step of the internship will be to develop a methodology for quantifying environmental impacts from microfibers. Once the novel methodology is integrated into life cycle assessment, the next step will be to perform a thorough environmental assessment of different activewear fabrics chosen by the company Moov Activewear. Finally, the environmental assessment will help Moov activewear to guide their fabric design in a way that environmental impacts are minimized.

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Faculty Supervisor:

Anne-Marie Boulay

Student:

Partner:

Moov Activewear

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Verification & Security of Blockchain Oracle Network Effects on Smart Contracts

Bitcoin! Ethereum! Blockchain! In the past year, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, it has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are secured by cryptography and economic incentives, and that they are governed by decentralized consensus. As such, it is critical that they are based on robust and sound economic and technological principles that enable good governance and safe societal welfare. And although today they work well in environments with small numbers of enthusiasts, it remains unknown whether they work when applied at scale. This project plans to investigate the execution of programming software modules that are executed on blockchains to test their functional correctness and specification against real-life events that trigger blockchain actions. It also plans to build safeguards around the execution of those programs in a blockchain environment.

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Faculty Supervisor:

Andreas Veneris;Fan Long

Student:

Partner:

Bank of Canada

Discipline:

Computer science

Sector:

Finance and Insurance; Manufacturing; Public administration

University:

University of Toronto

Program:

Accelerate

Reliability and validity of Bodiometer’s Postural Assessment App

Human posture and its relation to health have been studied by researchers in the fields of health, kinesiology and biomechanics. There are some advanced postural screening technologies, but they can only be found in specialized clinics. Bodiometer has developed a non-invasive, user-friendly, and affordable postural screening technology for mobile devices. This project aims to evaluate the validity and reliability of the Bodiometer mobile app for 2D postural analysis. This study will be implemented in three phases. Based on the results of this study, people such as physical therapists, chiropractors, coaches and other health and fitness professionals will be able to examine the usefulness of Bodiometer in a practical setting for measuring posture. It is also expected to apply the result of this study for achieving one of the practical purposes of using Bodiometer, to determine the range of normal posture of people of different ages, physical characteristics, sports activities and occupations.

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Faculty Supervisor:

Larry Katz;Reed Ferber

Student:

Partner:

Bodiometer

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Mechanistic Analysis of Cross-Coupling Reactions

Palladium-catalyzed cross coupling is one of the most powerful tools in modern synthetic chemistry, with is collaborative discovery recognised with the 2010 Nobel Prize for Chemistry. This class of reactions has had a huge impact on the way in which chemists think about building fine chemicals, because it allows for clipping of two molecules together to make a more elaborate one under mild reaction conditions. Despite its popularity in use, these catalysts have a mechanism and nature of the catalytically relevant species that is incompletely understood. We plan to combine our expertise to probe key mechanistic questions in palladium-catalyzed cross coupling reactions focusing on the catalyst activation process. This collaboration is aimed at building up a robust model of the chemistry and generate actionable recommendations for rational improvement of reaction protocols that identify areas for improvement, reduce catalyst consumption, and better utilize this precious earth resource.

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Faculty Supervisor:

J. Scott McIndoe

Student:

Partner:

University of York

Discipline:

Physics

Sector:

Pharmaceuticals; Sustainability & the Environment; Clean Technology

University:

University of Victoria

Program:

Globalink Research Award

Cooperative Primary Healthcare Data Sharing and Analytics NetworkInfrastructure

An increasing number of primary health care clinics have made the transition from paper-based record keeping to computer-based patient information systems, so-called electronic medical record (EMR) systems. One advantage of using EMRs is that data becomes more readily accessible for computerbased analytics in order to inform medical research and investigate compliance to clinical guidelines on evidence-based best practices. This vision of making primary care EMR data available for ncreasing quality of care and generating evidence for medical research requires a computer network infrastructure that allows connects all participating EMRs. Realizing such a computer network infrastructure poses significant research challenges with respect to informational privacy, security, and interoperability of heterogeneous EMR data models and system architectures. Objective of this project cluster is to address these challenges and develop software and system architecture in support of a computer network infrastructure for primary health care data sharing and analytics.

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Faculty Supervisor:

Jens Weber

Student:

Partner:

Physicians Data Collective;Applied Information for Health Society;Osler Systems Management Inc;OSCARprn;OSCARwest EMR Services Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

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