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

Interacting effects of contaminants and climate change on the health of the western Arctic beluga whales

The Arctic environment is changing rapidly, and this change may influence the health of organisms that live there, such as belugas. In periods of low sea ice extent, belugas in the Beaufort Sea showed altered expression genes involved in various aspects of health. Further, polychlorinated biphenyls, contaminants of concern, were also associated with altered gene expression. These results indicate that climate change and contaminants are playing a role in the health of beluga whales. However, these data were collected over a small time-frame and therefore observations must be extended in order to draw conclusions. Further, the combined impacts of climate change and contaminants have not been explored. We will utilize both novel and existing techniques to determine the impacts of these two stressors on beluga health in order to shed some light on the long-term trend of western Arctic beluga health in a changing Arctic environment and contribute to Ocean Wise’s conservation and research efforts.

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Faculty Supervisor:

Jeffrey Richards

Student:

Ellika Crichton

Partner:

Ocean Wise

Discipline:

Zoology

Sector:

Environmental industry

University:

Program:

Accelerate

Stability of non-Newtonian liquid/liquid flow submitted to imposed shear, application to oil-water emulsion

In case of an oil spill in a marine environment, an important aspect of an early response is to confine the oil spill and prevents it from getting dispersed. The objective of this master thesis project is to contribute to better understand the stability of a liquid/liquid flow subjected to imposed shear, as a toy model for a stratified or dispersed oil/water system. Both the rheological nature of the oil and the oil/water surface tension are key parameters. We intend to address this problem from a computational viewpoint using an advanced free academic code to perform numerous parallel simulations. A thorough analysis of the obtained data will help us to provide recommendations on how to design surfactants to guarantee flow stability and in turn to improve practical guidelines for an early oil spill response.

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Faculty Supervisor:

Anthony Wachs

Student:

Seyed Hosseini

Partner:

BC Research Inc

Discipline:

Engineering - chemical / biological

Sector:

Oil and gas

University:

Program:

Accelerate

Object Recognition for Large-Scale and Weakly-Labelled Medical Image Data

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are of high interest/priority to Corstem, for instance, finding automatically the left and right ventricles in short- and long-axis cardiac magnetic resonance (MRI) sequences, which yields diagnosis measures that are of high interest to clinicians. Learning recognition models in medical image computing typically leads to difficult computational problems, where imaging data sets are weakly annotated.
This set of projects will leverage some limited and targeted interactions with medical experts, as needed, to set anatomical constraints and to drive advanced learning methods. TO BE CONT’D

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Faculty Supervisor:

Ismail Ben Ayed

Student:

Jose Dolz

Partner:

Corstem

Discipline:

Visual arts

Sector:

Information and communications technologies

University:

Program:

Accelerate

Optimal manure management strategies to favor productive and low-GHG emitting dairy farms in Québec

Dairy production in Québec, Canada, contributes for 38% of the province agriculture-related greenhouse gas emissions. These numbers could however increase in the near future due to the evolution in manure management of dairy farms. A model (N-CyCLES), providing a whole-farm perspective considering on-farm interactions to determine the cost-effectiveness of overall strategies, will be used to assess the impact of a change in manure handling methods on greenhouse gas emissions, nitrogen and phosphorus balances, and farm net income for a typical dairy farm in two regions with contrasted climate (Southwestern and Eastern Québec). By proving better information on possibilities of on-farm GHG reduction, the project will allow better decision making from dairy producers in terms of implementation of profitable and sustainable practices.

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Faculty Supervisor:

Édith Charbonneau

Student:

Sébastien Fournel

Partner:

Institut de recherche et de développement en agroenvironnement

Discipline:

Animal science

Sector:

Agriculture

University:

Université Laval

Program:

Accelerate

Intraday Trading and Analysis and Monitoring Trader Behavior

Electronic exchanges are venues that provide immediacy for those who need to find a counterparty to their trades. Orders of various types arrive in the market at ever increasing speeds, and in this era of high-frequency trading (HFT), institutional investors are often disadvantaged because of their high-latency relative to faster traders. To level the playing field somewhat, this proposal seeks to understand what features are present in the market when there is normal and abnormal trading activity, and to provide a tool for TMX and its clients to detect when the trading environment is “toxic”. In addition, the proposed project aims to classify brokers/traders (into hedgers, speculators or HFT arbitrageurs), predict traders’ behavior and assess whether traders are colluding.

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Faculty Supervisor:

Matt Davison

Student:

Andrew Day

Partner:

TMX Group Limited

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

Western University

Program:

Accelerate

Deep Generative Modeling of Character Animation

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by a specifically designed recurrent neural network that should make use of recent advances in adversarial learning in order to produce realistic animations. We also want to tackle the problem of key-frame interpolation, where we want to improve the current techniques of motion smoothing and interpolations by learning a dense pose manifold that takes into account complete character configurations in order to only produce valid poses while interpolating.

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Faculty Supervisor:

Christopher Pal

Student:

Félix Gingras Harvey

Partner:

Ubisoft

Discipline:

Computer science

Sector:

Media and communications

University:

École Polytechnique de Montréal

Program:

Accelerate

Energy Efficient 360 Video Processing for Portable VR-Technologies

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still be enhanced. In this project, the goal is to make the glasses require less power and energy during operation such that the operating time and battery requirements can be minimized. For the partner organization, being able to provide such a solution to users would be a unique selling point for their products as the glasses can be made lighter, more comfortable, and do not need a power cable.

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Faculty Supervisor:

Stéphane Coulombe

Student:

Christian Herglotz

Partner:

Summit-Tech

Discipline:

Visual arts

Sector:

Information and communications technologies

University:

École de technologie supérieure

Program:

Accelerate

VAL-083 combination therapies in chemo-resistant pediatric CNS cancers

More children die from brain cancer than from any other disease in the western world. Many anti-cancer drugs are unable to cross the blood-brain barrier to reach the tumor and certain genetic mutations in the tumor cells increase resistance to chemotherapeutics. The novel chemotherapeutic drug VAL-083 readily crosses the blood-brain barrier and accumulates in brain tumor tissues and has documented activity against pediatric brain tumors in historical clinical trials. VAL-083 has a distinct mechanism of action that enables it to overcome common chemo-resistances, as well as work synergistically with drugs of the topoisomerase inhibitor family. This project aims to identify topoisomerase inhibitors that display maximum synergy with VAL-083 in selected pediatric CNS tumors and examine the tolerability of these combinations. TO BE CONT’D

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Faculty Supervisor:

Mads Daugaard

Student:

Sudha Kotapalli

Partner:

Del Mar Pharmaceuticals Ltd

Discipline:

Medicine

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Simulation of nanoparticle adsorption and transport in microfluidic lung-on-a-chip devices

Organs-on-chips are miniature devices mimicking aspects of human organ functions. Their main purpose is to serve as an alternative to animals as a testing ground for drugs, pollutants and toxins to see their effects on organs. The lung-on-a-chip device, which is the focus of this research, has been used to demonstrate how air-born nanosized particles can irritate the lung tissues and cause inflammation. It can also help us in designing sprays and aerosols for carrying drugs into the lungs. As the research on such devices is in its infancy, they are mostly made by trial and error, with little guidance from fundamental principles of mechanics, physics and biology. TO BE CONT’D

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Faculty Supervisor:

James Feng

Student:

Seyed Mohammad Amin Arefi

Partner:

Providence Health Care

Discipline:

Engineering - chemical / biological

Sector:

Medical devices

University:

Program:

Accelerate

Development of computationally efficient models for modular multilevel converters with integrated battery energy storage systems

The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that study of battery systems that are integrated into the grid using advanced converter systems becomes feasible on present-day computing systems. The outcomes of this research will enable practicing engineers and researchers to conduct studies with accuracy and low computation burden. The findings of this research will be experimentally verified using scaled-down laboratory setups.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Nuwan Herath

Partner:

Manitoba Hydro

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

Social Procurement Value Proposition

This project aims to develop a tool for cities and municipalities to use to negotiate and evaluate how large real estate development projects coming into communities, especially vulnerable neighbourhoods, can provide benefits back to that community. The specific focus of these benefits is on providing work and training opportunities for local residents, as well as purchasing from local small businesses (called social enterprises) already focused on employing local residents who face a variety of challenges to getting and keeping a traditional 9 to 5 job. This project will also gather academic research and local success stories to share existing knowledge on these agreements with developers, as well as on purchasing from social enterprises, with the broader public.

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Faculty Supervisor:

Nancy Olewiler

Student:

Nicole Hanbury

Partner:

Buy Social Canada

Discipline:

Public administration

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Microbial contamination of TransX diesel fuel tanks.

The TransX Group of Companies is Canada’s largest privately owned transportation company. Its mission is to provide integrated transportation solutions to businesses throughout North America. In the fall of 2017, the Winnipeg office of TransX discovered that diesel fuel tanks for their long-haul refrigeration units contained a sludge-like, microbial biofilm and that the fuel filters from these tanks to the generators running the refrigeration compressors were becoming clogged. Dr. David Levin, in the Department of Biosystems Engineering at the University of Manitoba. will oversee a project to determine the identity of the microbes in diesel fuel tanks. The specific objectives of the proposed research are to: 1) isolate the microorganisms in the sludge from TransX diesel fuel tanks; 2) identify these microorganisms and determine the composition of the microbial community in the sludge; and 3) evaluate the effectiveness of a commercial biocide (Biobar JF) in eliminated the microbial contamination.

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Faculty Supervisor:

David Levin

Student:

Tingting Peng

Partner:

TransX Group of Companies

Discipline:

Engineering

Sector:

Life sciences

University:

Program:

Accelerate

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