Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Portfolio Optimization and Risk Analysis

In recent years, the use of Mathematics and Statistics in Finance has become increasingly important, with the arrival of new software and investment methods. The notion of market efficiency, particularly the assumption that assets are always correctly priced, suffers from market anomalies which lead to potential arbitrage strategies in the short run. Therefore, this project aims to model portfolios using market anomalies and traditional finance methods. The goal is to develop a step-by-step procedure for portfolio selection and implement it in software.
The interns will have the chance to learn more about financial markets, portfolio construction, risk measures and multifactors models. Furthermore, it is an opportunity for interns to work with real world financial data using their computational skills. The company will benefit from the implementation of a step-by-step procedure to analyze their investment strategy.

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Faculty Supervisor:

Antony Ware;Matthew Greenberg;Alexandru Badescu;Rohana Ambagaspitiya

Student:

Partner:

Accelerate Financial Technologies Inc

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Calgary

Program:

Accelerate

mise en place d’un modèle in vitro du syndrome de l’intestin irritable

Des fermentations in vitro dans des bioréacteurs seront réalisées après optimisation des paramètres (pH, temps de résidence…) grâce aux données collectées dans la littérature sur les caractéristiques du syndrome de l’intestin irritable. Les fermenteurs seront inoculés avec du microbiote fécal provenant de sujets présentant un syndrome du côlon irritable (3 répétitions avec selles de 3 sujets différents). Nous adapterons également si nécessaire le milieu nutritif qui sera introduit dans les bioréacteurs. Les fermentations dureront 21 jours. Des échantillons seront prélevés régulièrement dans la phase atmosphérique et dans le milieu de fermentation pour analyser la composition du microbiote (séquençage et/ou qPCR et son activité métabolique: production de gaz, d’acides gras à chaîne courte et d’autres métabolites potentiels. Les résultats obtenus in vitro seront comparés aux données in vivo collectées dans la littérature (en particulier pour la composition du microbiote et l’activité métabolique), afin de valider le modèle.

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Faculty Supervisor:

Guy Rousseau

Student:

Partner:

Université Clermont Auvergne

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

A cloud-based ecosystem for predictive maintenance and management of shipping container

The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This project aims to create an automated shipping container inspection system using high definition cameras and machine learning software. Each intern will be tasked with a specific part of the software development permitting them to apply their scholarly engineering learnings to solve real world heritage problems. By working in an office environment and being coached by learned researchers, they will transition from academia to the workplace organically. TO BE CONT’D

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Faculty Supervisor:

Zheng Liu

Student:

Partner:

Canscan Softwares and Technologies Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Selenium fractionation and speciation in surface mine

This project will deal with the detection, the fractionation and the quantification of selenium in its many forms (elemental form or in the form of selenide (Se2-), selenate (SeO4 2-), or selenite (SeO3 2-)) in mining waters. Dissolved and total recoverable Se will be quantified by inductively coupled plasma mass spectrometry (ICP-MS). Quantitative Se speciation will be conducted using high performance liquid chromatography (HPLC) coupled with ICP-MS to allow the assessment of bioavailability of selenite and selenate in different plant-soil systems by sequential extraction. This project will bring its benefits to CTRI in terms of industrial wastes management through technology development and technical optimization of analytical methods for Se fractionation, quantification and speciation. In addition, this project will help find mitigation measures for Se treatment for environmental protection in a context of mine industry. TO BE CONT’D

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Faculty Supervisor:

Satinder Kaur Brar

Student:

Partner:

Centre technologique des résidus industriels

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Agriculture; Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Using deep appearance to extract distinctive features from road users in traffic video

The partner organization, Brisk Synergies, produces software tools for use by Urban Planners in doing traffic monitoring and analysis. Their software detects traffic objects in video, such as cars, trucks, buses, motorcycles, pedestrians and bicyclists. This project aims to enhance Brisk Synergies software by creating deep learning algorithms that can detect and track traffic objects. The project seeks to identify suitable object appearance features, such as object colour and texture, generated by the deep neural networks that will increase the object tracking performance. The appearance features will be combined with motion features (e.g. speed of moving cars and pedestrians) to help in tracking of objects when they are briefly occluded by other objects.

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Faculty Supervisor:

James Clark

Student:

Partner:

Transoft Solutions Tech Corp

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Bench – Scale Approach to Understand the Release of Opportunistic Pathogens from Biofilms in Drinking Water Distribution Systems

Legionella pneumophila is an opportunistic pathogen that affects humans that are immunocompromised. It is the most frequently reported drinking water related disease in the United States. In order to investigate its occurrence and release from pipe walls in the drinking water distribution system, a bench – scale method has been designed. Disinfectants (chlorine) and corrosion inhibitors (orthophosphate) will be investigated as methods for suppressing the growth and release of Legionella pneumophila in small flow – through reactors containing coupons of common pipe materials (copper, cast iron, and lead). The expected outcomes of this project include providing recommendations to utilities for disinfectant and corrosion inhibitor combinations and doses based on pipe materials used in their distribution systems. Additionally, the main goal for this project is to develop a bench – scale method for investigating opportunistic pathogen behaviour in the distribution system for future research in this field.

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Faculty Supervisor:

Graham Gagnon

Student:

Partner:

The University of Texas at Austin

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Spatial variability of greenhouse gas emissions in a pre-alpine Bavarian grassland

Agricultural grasslands are a significant source of anthropogenic greenhouse gas emissions. However, uncertainties in estimates of greenhouse gas fluxes from farmlands are still high. Soil models used to quantify and simulate greenhouse gas emissions, generally use average site inputs for soil and vegetation initialization using a limited number of samples and do not account for the spatial variability of soil characteristics and environmental conditions. We will evaluate the representativeness of this “average” modeling approach by comparing simulated greenhouse gas emissions with an average site parameterization against the averaged simulation derived from multiple spatially explicit simulations. We will use the process based LandscapeDNDC model which combines plant growth, micrometeorology, water cycling, microbial carbon and nitrogen cycling and exchange processes with the atmosphere and hydrosphere of terrestrial ecosystems. Results from the model simulations will also be compared with field measurements of soil greenhouse gas emissions previously collected in a Bavarian grassland to quantify uncertainties for the validation of biogeochemical models.

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Faculty Supervisor:

Gerardo Arturo Sanchez-Azofeifa

Student:

Partner:

Albert-Ludwigs-Universität Freiburg

Discipline:

Earth science

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Sublethal effects of neurotoxic pesticides on bats: from cells to behavior

Pesticide application in crops has been considered a potential cause of bat population declines in Europe. However, no research on this topic has been conducted in tropical agrosystems, where the use of pesticides is extensive and bat diversity is higher. Considering that insectivorous bats can eat more than 90% of their body mass every night, species that hunt preferentially in crops could be highly exposed to pesticides through their prey. This study seeks to determine the sublethal effects of pesticides on bat species foraging in or near crops. I will use an integrative approach to evaluate how these substances affect the ability of bats to hunt, fly and combat illness. Understanding the mechanisms and effects at different scales will enable to better predict the implications on populations and communities and help to face this environmental issue.

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Faculty Supervisor:

Kenneth C Welch

Student:

Partner:

Universidad Nacional Autónoma de México

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto Scarborough

Program:

Globalink Research Award

Engaging Neighbors! [Internship Pair #3]

The United Way of Greater Victoria (UWGV) is spearheading a collaborative community development project with the UVIC Office of Community-Based Research (OCBR) and BC Healthy Communities entitled Community Tables: Engaging Neighbors. Four Mitacs OCBR Interns (plus a fifth supporting intern) will work with 3 neighborhoods and on a broader Capital Region District level with citizens from all walks of life to identify community assets, capacities and visions for change using participatory research, survey, mapping and action planning. Specific attention in the research and action planning will be paid to the United Way’s three priorities for 2011-2014-From Poverty to Possibility, All that Kids Can Be; and Healthy People, Strong Communities.

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Faculty Supervisor:

Leslie Brown

Student:

Partner:

United Way - Greater Victoria

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Victoria

Program:

Accelerate

Investigation on Lateral Torsional Buckling of steel open-sections

As part of my research project dealing with the design of steel open-sections, to be able to realize a 3 months internship at Georgia Institute of Technology, in collaboration with professor Donald W. White would be a real chance.
My research studies aim at providing, reliable and simple to use design formulae for steel open-sections such as I and H shapes, which would be implemented in new versions of codes.
Lateral Torsional Buckling (L.T.B.) represents one of the main behaviors of steel weakness. To benefit from the expertise and large knowledge of professor Donald W. White respecting to L.T.B. would be an important gain for my research subject.
Moreover, professor White has already carried out deep studies on the subject, and this internship would allow me to (i) acquire more knowledge according to L.T.B. particularities, and (ii) work in collaboration with professor White on the interaction between L.T.B. (global behavior) and local behavior.
So far, the local behavior has already been studied. Consequently, this internship aims at studying the interaction between local behavior and L.T.B. This interaction represents one of the main complexities in steel design suggested in current codes.
[…]

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Faculty Supervisor:

Nicolas Boissonnade

Student:

Partner:

Georgia Institute of Technology

Discipline:

Engineering

Sector:

Construction; Manufacturing and Construction; Other

University:

Université Laval

Program:

Globalink Research Award

The potential effects of a carbonic anhydrase IX (CAIX) inhibitor, SLC-0149, on AD pathogenesis

Alzheimer’s disease (AD) is the most common neurodegenerative disorder. SignalChem LifeSciences Corp. recently developed a potent small molecule inhibitor (SLC-0149) for targeting CAIX, a hypoxia inducible gene, in the application of treating cancers. Since hypoxia has been implicated as a factor to facilitate AD development, this study aims to explore the potentiality of applying SLC-0149 to treat AD model mice. More specifically, we will focus on the effects of SLC-0149 on two neuropathological features in AD, including A? deposition and Tau phosphorylation. The partner organization will gain novel knowledge of this drug in treating AD, and possibly extend the applicable scope of this compound.

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Faculty Supervisor:

Weihong Song

Student:

Partner:

SignalChem Lifesciences Corporation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Simulation du transport de nitrate par l’écoulement d’eau dans les terrains agricoles drainés

Les drains souterrains sont des tuyaux perméables installés dans le sol afin d’extraire l’excès d’eau souterraine des terrains agricoles humides dans le but d’améliorer la production alimentaire. Lorsque l’eau souterraine s’écoule vers ces drains, le nitrate utilisé comme fertilisant est dissout dans l’eau et est rapidement déchargé aux rivières et à l’océan. Cela cause des problèmes environnementaux qui sont difficiles à prévoir. Notre projet de recherche vise estimer le bilan hydrologie ainsi que le transport de nitrates aux endroits où ces drains souterrains ont été installés. Pour ce faire, nous prévoyons l’élaboration d’un modèle numérique détaillé avec des essais réalisés au Danemark en partenariat avec le projet danois sur le transport des nitrates. Nous espérons ainsi simuler en détail la dispersion du nitrate provenant des fertilisants utilisés et les quantités apportées par les drains aux eaux de surface. Finalement, nous pourrons quantifier l’impact de chaque région agricole sur la qualité de l’eau pour une meilleure règlementation quant à l’utilisation des fertilisants.

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Faculty Supervisor:

René Therrien

Student:

Partner:

Aarhus University

Discipline:

Earth science

Sector:

Sustainability & the Environment; Water; Natural Resources

University:

Université Laval

Program:

Globalink Research Award

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