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

Digital Media Project: Affecting attention and emotion in a digital world

Human history is punctuated by new innovations that reshape the way people interact and process information, (e.g., the telegraph, the telephone, radio and TV). We are in the midst of a digital revolution, and old theories and methods for understanding and shaping the way people process information are woefully inadequate. This is evident both in the information overload that we in society are experiencing today, and in the inability of many companies to make themselves heard above the digital din. By working with a global advertising industry we will discover firsthand the current real-world challenges that are faced by companies wishing to reach out to consumers. Through our research we will test, develop and apply new theories of attention in both the lab and real world settings. TO BE CONT’D

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Faculty Supervisor:

Alan Kingstone

Student:

Eleni Nasiopoulos

Partner:

Mindshare Canada

Discipline:

Psychology

Sector:

Life sciences

University:

Program:

Accelerate

Alkaline treated straw and micro machine technology to improve digestive health and profitability of feedlot cattle

This research will investigate use of calcium oxide treated straw (CaOS) to increase fibre levels in wheat-based feedlot cattle finishing diets. In vitro total gas production will be measured to determine the ideal treatment protocol for creation of CaOS. Further in vitro work will compare fibre digestibility of CaOS to untreated straw, barley silage and corn silage as an indicator of nutritional quality. A feeding trial using yearling steers will measure changes in animal performance when 10% silage is replaced with 12% CaOS in finishing diets. The value and necessity of feeding supplemental salt will also be investigated. By providing calcium through CaOS, it is expected that use of micro-machine technology to increase precision and efficiency in diet formulation will become a more economical and feasible option for commercial beef feedlots. TO BE CONT’D

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Faculty Supervisor:

John McKinnon

Student:

Katelyn Stehr

Partner:

Gowans Feed Consulting

Discipline:

Animal science

Sector:

Agriculture

University:

Program:

Accelerate

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:

Shahin Amiri

Partner:

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Determination of active surface area and gas permeability of fuel cell catalyst layers

Within a hydrogen fuel cell, the cathode catalyst layer (CCL) is generally considered a limiting component in overall performance due to sluggish oxygen reduction reaction kinetics. The proposed internship is comprised of two projects, each characterizing the materials used in the CCL. The first project will investigate the permeability of oxygen, nitrogen, and helium gases through a series of polymer materials found in CCLs will be investigated to see how processing techniques, additive usage, and different suppliers impact resulting gas transport, which experiences impediments at high current densities. In the second project the surface area of catalyst in the CCL which is accessible for the oxygen reduction reaction will be determined for a series of CCLs prepared at the partner organization. The materials used and processing techniques are expected to change the accessible surface area which is an important factor in maximizing catalyst utilization. The partner organization will benefit by having an expanded knowledge base which will assist in making key design decisions for commercialization of fuel cell vehicles.

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Faculty Supervisor:

Steven Holdcroft

Student:

David Novitski

Partner:

Automotive Fuel Cell Cooperation Corp.

Discipline:

Chemistry

Sector:

Alternative energy

University:

Program:

Accelerate

Magnetic surveying with a new high-precision fluxgate magnetometer on a rotary-wing unmanned aircraft system

Balch Exploration Consulting Inc. (BECI) develops low cost geophysical survey solutions to the natural resources sector. They are investing in the development of a rotary-wing unmanned aircraft system (UAS) with a new high-precision fluxgate magnetometer. The general objective of this internship is to develop a rotary-wing UAS for aeromagnetic surveying. Specific objectives are to: assemble a rotary-wing UAS with an autopilot system; integrate the fluxgate magnetometer onto the UAS; characterize the magnetic signature of the UAS and its onboard components; perform an aeromagnetic demonstration survey; and process, analyze, and display the survey results. The project deliverables are a functioning rotary-wing UAS capable of acquiring high quality magnetic

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Faculty Supervisor:

Claire Samson

Student:

Michael Cunningham

Partner:

Balch Exploration Consulting Inc

Discipline:

Geography / Geology / Earth science

Sector:

Environmental industry

University:

Program:

Accelerate

Exploratory study economical sorbents for polycyclic aromatic hydrocarbons removal from storm water runoff

Polycyclic aromatic hydrocarbons (PAHs) release to stormwater through wear of asphalt and tire as well as deposition of vehicle exhaust – are of great concern due to its acute toxic, carcinogenic and estrogenic effects on aquatic organisms. Stormwater contaminated with these organic pollutants pose a threat to receiving waters. Kerr Wood Leidal (KWL) is a leader in proving progressive solutions for stormwater management in BC, is seeking to improve the rain garden system to effectively capture these organic pollutants in the runoff. The proposed project will investigate various economical sorbents to remove these organic pollutants. Batch adsorption/desorption tests will be used to evaluate the efficacy of the sorbents and the leachability of the loaded sorbents. The results will assist the company in improving rain garden design and provide a new solution for KWL to control the major organic pollutants in stormwater runoff.

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Faculty Supervisor:

Loretta Li

Student:

Monirehsadat Hedayati

Partner:

Kerr Wood Leidal Associates Ltd.

Discipline:

Engineering - civil

Sector:

Natural resources

University:

Program:

Accelerate

Wireless Network Planning and Robust Optimization for Advanced Irrigation Systems

This project is designated to the development of information and communication systems for advanced irrigation systems. An optimal wireless network planning algorithm will be developed to select the optimal locations for relay station placement at a minimum cost. Due to the potential GPS measurement errors in the irrigation area, robust optimization technique will be applied for the optimal irrigation command calculation. The results of this project can be directly used by the partner organization to reveal new advanced irrigation system products, which will have tremendous market potential due to the importance and urgency of water saving in irrigation sector.

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Faculty Supervisor:

Hao Liang

Student:

Yuan Liu

Partner:

Intelirain Inc

Discipline:

Engineering - computer / electrical

Sector:

Agriculture

University:

Program:

Accelerate

Predicting Building Energy Consumption Using Machine Learning Methods: a Comparison

The aim of this project is to predict building energy consumption for next days. Firstly, we will collect several data such as weather data, time data, and historical energy consumption of the building. We will analyze the collected data to recognize the usage patterns of the building, for instance, the low and the high electricity consumption of building. After data analysis, we will apply several machine learning models to predict energy consumption of building, and finally all models will be compared to choose the outperform method. This can assist buildings owners and maintenance staff to optimize the operation of building equipment as well as to identify further saving opportunities.

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Faculty Supervisor:

Jiacheng Wang

Student:

Azim Keshtkar

Partner:

SES Consulting Inc

Discipline:

Engineering - mechanical

Sector:

Energy

University:

Program:

Accelerate

Combined Physical Testing and Finite Element Modelling of Masonry Systems – Part 2

Finite element modelling (FEM) can be used enhance the understanding of physical testing results and will be applied to two distinct structural problems. The first problem will involve combined loading of concrete masonry walls, and the second problem will involve the performance of adhered stone veneer under wind loading. Combined compressive and out of plane testing will be completed on concrete masonry walls and numerical modelling will build on these results to evaluate and potentially modify current code factors to improve their accuracy. Adhered stone veneer will be analysed with a combination of physical testing and numerical modelling. This research would involve testing of walls over 3.2m (10’) in height, for which design must be done on a case-by-case basis. Such a testing regime will improve the understanding of the performance of these components under wind loading.

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Faculty Supervisor:

Nigel Shrive

Student:

Andrea Isfeld

Partner:

Alberta Masonry Council

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Program:

Accelerate

The role of cyclodextrins in repairing dysfunctional lung surfactant

My work will provide an important insight of the newly developed S1229. Cyclodextrins (S1229) are cyclic molecule composed of 7-sugars, with a unique structure. S1229 forms a hydrophobic core, which interacts with cholesterol and phospholipid by-products and removing them from the membrane. SolAeroMed has shown that S1229 was able to repair lung surfactant function. Lung surfactant is protein-lipid mixture covering the air-water interphase in the lung. Surfactant is an essential component of healthy lung function and without it, breathing would be near impossible. Therefore, to build on the information SolAeroMed has for S1229, the project will answer crucial questions for the successful clinical development of S1229. By understanding which CD sub-class shows better ability to repair the surfactant film, examine toxicity and possible side effects, SolAeroMed would be better equipped for the development of S1229 and commercializing it.

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Faculty Supervisor:

Chang-Chun Ling

Student:

Mustafa Al-Saiedy

Partner:

SolAeroMed Inc

Discipline:

Chemistry

Sector:

Life sciences

University:

Program:

Accelerate

Hand gesture recognition for car driver interactions

Klashwerks is an Ottawa-based engineering design and Technology Company founded in 2016 that focuses on the emerging connected car market. They are currently developing an intelligent driver companion for smart car. One desirable feature of this product is to offer the possibility to drivers to interact with the device by simply using their hands. Gestures constitute indeed one of the most powerful modality for humans to interact with computers. In the context of drivers interacting with dashboard devices, gestures are particularly attractive because they represent a quick and non-distracting way to send commands. This project therefore consists in the research and development of new methods and algorithms for the recognition of human hand gestures from a camera installed on the dashboard of a car.

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Faculty Supervisor:

Robert Laganiere

Student:

Pavel Popov

Partner:

University of Ottawa

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms. Developing an automated algorithm to realize this time-consuming procedure can help companies save time and increase efficiency. NeuroRx will provide thousands of QC’d scans for algorithm training, and benefit from the most technologically advanced concepts and resources developed at a world-renowned institution, the Neuro at McGill.

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Faculty Supervisor:

Amir Shmuel

Student:

Ricardo Pizarro

Partner:

NeuroRx Research Inc.

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Elevate

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