Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Temperature measurement in suspension plasma spraying

In plasma spray, coating materials melted by the plasma heat source are sprayed onto a substrate to make a coating layer which can be highly resistance to thermal and mechanical shocks. It is of importance to accurately measure the velocity and temperature of the sprayed coating particles. These characteristics have a great impact on the thermal and mechanical properties of the coating products. Accuraspray diagnostic system produced by TECNAR can measure velocity and temperature of large coating particles, while it needs some improvements for an accurate temperature measurement of smaller coating particles. During this internship, a new design is tested in which some major modifications are applied to make this system reliable for temperature measurement of small coating particles. The benefit for TECNAR is that a new Accuraspray system will be available to the coating industry that can be commercialized worldwide.

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Faculty Supervisor:

Christian Moreau

Student:

Partner:

Tecnar Automation Ltée

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Development of a two-stage crosslinking bio-ink for printing 3D tumor models

The intern will further improve the company’s proprietary biomaterials to create tumor models using cancer cells. These tumor models can be used as an alternative to traditional 2D cell culture and potentially animal testing for cancer drugs. These cancer models will cost a fraction of the cost of animal models and can be tested using existing pharmaceutical techniques and equipment. The intern will develop chemical approaches to modify the existing biomaterials to enable easy printing of tumor models. This research will allow the company to commercialize their biomaterials in the pharmaceuticals industry using the processes created in the project. The biomaterials and reagents used in in-vitro cancer drug screening are a $3.5 Billion market, and this research will help the company gain market share in the industry.

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Faculty Supervisor:

Shirley Tang

Student:

Partner:

9215581 Canada Inc;University of Waterloo

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Conception et développement d’outils automatisés pour caractériser, modéliser et quantifier la morphologie et la fonction des systèmes ostéo-articulaires en trois dimensions à partir de plusieurs radiographies

L’objectif principal est de mettre à disposition de nos partenaires industriels des outils informatisés innovants afin d’améliorer et d’enrichir leurs technologies (plateforme d’imagerie d’EOS Imaging, orthèse du genou de Médicus, outils pour la planification chirurgicale de Spinologics) pour aider une population, de plus en plus vieillissante, à demeurer autonome, mobile et active.

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Faculty Supervisor:

Jacques de Guise;Carlos Vazquez

Student:

Partner:

EOS image Inc;Spinologics Inc;Laboratoire Orthopédique Médicus

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Joint Recommendation and Inventory Management System

Using modern machine learning techniques and analytical tools, the intern will create a joint recommendation and inventory management system that will be able to automatically choose the ideal package for Chic Marie’s customers. This package will include curated clothes for each customer based on their tastes, buying history and any other data they wish to provide. These selections will then influence what merchandise Chic Marie will purchase from suppliers, ensuring an optimal level of inventory and efficiency from supplier all the way to the end user.

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Faculty Supervisor:

Jia Yuan Yu

Student:

Partner:

Chic Marie Inc

Discipline:

Engineering

Sector:

Retail trade

University:

Concordia University

Program:

Accelerate

Développement et étude du comportement mécanique des roues et rondelles en composite de fibres naturelles

Le composite de thermoplastique (Polyéthylène) renforcé de fibres de bois pourrait théoriquement remplacer le Nylon (PA) dans la fabrication de certaines pièces mécaniques. Ce stage de recherche a pour but le développement et l’étude du comportement mécanique des roues et rondelles en composite de fibres naturelle, d’élaborer du composite de Polyéthylène renforcé de fibres de bouleau avec quelques adjuvants spécifiques afin de fabriquer des roues de chariots et des rondelles qui sont actuellement fabriquées en Nylon. TO BE CONT’D

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Faculty Supervisor:

Demagna Koffi

Student:

Partner:

Société manufacturière Roma Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Ciena OPn – WP 3.1.1 Supply Chain Agility, Life Cycle Management and Forecast Accuracy

Ciena Corporation is a global supplier of telecommunications networking equipment. It develops this equipment in a high product mix, low volume environment. Due to this environment and the short cycle times of its products, the company has product categories, which are highly dynamic both in volume and number of customers. Ciena wishes to be more agile in managing its supply chain. It also wishes to better predict the dynamics of product volume and product end-of-life over short timeframes. Consequently, the objectives of the project are to improve the accuracy of production volume estimation during product life cycles, to develop methods that more quickly signal supply chain partners about changes in demand, and to create a computer-based tool that captures supply chain information and assists managers to adjust Ciena’s supply chain activities on a daily basis.

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Faculty Supervisor:

Vince Thomson

Student:

Partner:

Ciena Corporation (St-Laurent, QC)

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology; Manufacturing and Construction

University:

McGill University

Program:

Accelerate

Development of a Compact Muon Detector

Have you ever wondered what is underground below your feet? In this project, the intern will work at CRM Geotomography Technologies on developing a compact detector that will make it possible to construct 3D images of underground structures. The concept is similar to an X-ray, except that naturally occurring particles called atmospheric muons are used instead of electromagnetic waves. This technique is useful whenever it is necessary to scan volumes of underground earth. For example, in the mining industry this technique can be used to monitor the size of underground structures or to scan for mineral deposits. CRM will benefit from developing a compact, affordable, and durable detector that can be used more effectively in a diverse set of commercial applications than its existing systems.

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Faculty Supervisor:

Bernd Stelzer

Student:

Partner:

CRM Geotomography Technologies Inc

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Microalgae biomass production in a citrate rich wastewater for aquafeed application

Jungbunzlauer is an important bioingredient producer for food, pharmaceutical, cosmetic and chemical markets. To reduce effluent cost management, Jungbunzlauer would like to convert it into valuable products. As their effluent is free of toxic contaminants, microalgae biomass production for the aquafeed market is targeted. Microalgae cells contain essential nutrients for fish and crustacean growth such as polyunsaturated fatty acids, astaxanthin, amino acids and vitamins. Moreover, microalgae are known for their ability to treat wastewater through nutrients assimilation for their growth. UQTR have worked over the last 6 years on microalgae biomass production in industrial wastewaters. Preliminary experiments on the potential of Jungbunzlauer effluent as culture medium have been previously done, in collaboration with Innofibre. For the present project, it is proposed to select the most appropriate strain for the target application. The nutritional quality, growth performance and nutrient load reduction of JBL effluent capacity of 4 algae strains will be evaluated.

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Faculty Supervisor:

Simon Barnabé

Student:

Partner:

Jungbunzlauer Canada Inc

Discipline:

Engineering

Sector:

Agriculture

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Optimization of Euglena Fatty Acid Production: an Important Step towards the Commercialization of Euglena Oil

Noblegen Inc. is an advanced bioproducts manufacturer dedicated to developing cost-effective, naturally-derived biomaterials and biochemicals for a wide range of consumer and industry sectors. We employ a unique organism, algae, to continue to do what it does naturally – decontaminate wastewater sustainably and affordably while also generating valuable biomass for use in biomaterials and biochemicals production. In this research, we propose to investigate the effect of various culture conditions and strategies in order to optimize the culture protocol for increasing oil production with a desired FA composition derived from algal biomass.

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Faculty Supervisor:

RJ Neil Emery

Student:

Partner:

Noblegen Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Trent University

Program:

Accelerate

Proxy models for Thermal Production Optimization

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data driven models for optimizing bitumen production in SAGD reservoirs. These models will be developed using machine learning and data mining techniques to forecast the key performance indicators like steam to oil ratio, etc. Researchers will be working on a given data set to develop an effective model for forecasting, optimize the reservoir KPI, and improve statistical robustness.

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Faculty Supervisor:

Yuriy Zinchenko;Deniz Sezer

Student:

Partner:

General Electric Canada

Discipline:

Computer science

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

Modelling excessive scour in river channels

Many engineering projects are undertaken on and around rivers, such as the construction of bridges and the placement of pipes under river beds. These engineering projects modify flow conditions away from those which occur naturally, inducing additional sedimentation and scour. This research will focus on a deep scour hole in the riverbed at the Alex Fraser bridge on the Fraser River in British Columbia. In this location a great deal of engineering work has been undertaken, leading to the development of the deep scour. The development of this hole was unpredictable, as the processes occurring in this location, made complex by the presence of a bridge abutment, buried pipeline crossing, and a channel bend, are not fully understood. Our work will help to improve understanding of how rivers respond to complex engineering projects.

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Faculty Supervisor:

Michael Church

Student:

Partner:

Northwest Hydraulic Consultants Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Transitional REM Sleep Brain Connectomes and Seizure Susceptibility

Seizures are rare while dreaming in rapid eye movement (REM) sleep. New research, however, suggests seizures may rebound during unstable REM sleep. This may be due to brain wiring (“connectivity”) since a highly connected brain is more prone to seizures, and connectivity changes from wakefulness to sleep. Brainwave tracings (“EEG”) can generate connectivity maps (“connectomes”) but adequate connectome resolution requires many EEG electrodes (“high density EEG”). This study uses high density EEG to examine brain connectomes and seizure susceptibility in unstable REM sleep. Findings will contribute to developing novel therapies to one day allow patients to safely “dream seizures away”.

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Faculty Supervisor:

Marcus Ng;Zahra Kazem-Moussavi;Zahra MK Moussavi

Student:

Partner:

Epilepsy and Seizure Association of Manitoba

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

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