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

Computational Lens-free Holography for Rapid Monitoring and Characterization of Airborne Particles

Air pollution is a major environmental risk to human health, and air quality has become an increasing concern in the industrialized world. Rapid and accurate detection and characterization of airborne particulates is crucial for monitoring and improving air quality. In this proposal, we develop a compact, cost-effective, computational lens-free holography platform for high-throughput characterization of airborne particulates. Such a platform can be easily constructed by using a partial-coherent light source and an aperture for the illumination of the particle samples, and an optoelectronic sensor array for registering the hologram of each particle. The hologram contains both the phase and amplitude information, which represents the fingerprint signatures of particle including the size, shape, refractive index, etc. By developing a sophisticated algorithm, we can reconstruct the microscopic image of each particle and, at the same time, obtain particulate statistics including size, count, shape, and distribution. TO BE CONT’D

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Faculty Supervisor:

Shuo Tang

Student:

Jingwen Li

Partner:

Nanozen Inc

Discipline:

Engineering - computer / electrical

Sector:

Automotive and transportation

University:

Program:

Elevate

Proof of Principle Application for Biosensors in Animal Models

NXTSens has developed an implantable continuous monitoring, stand-alone and potentially mass-producible microsensor for accurate monitoring of tissue pressure and temperature in damaged limb muscles to better diagnose ACS. The proposed research will involve several sub-projects that include: i) develop appropriate surgical models for the accurate and reproducible placement of the microsensors in rodent compartments; ii) test the performance of a prototype microsensor in a relevant cadaver model.

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Faculty Supervisor:

Paul Martineau

Student:

Gueorgui Savadjiev

Partner:

NXTSENS Microsystems Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Break down Monolithic Enterprise Applications to Micro-services

Microservices architectures is a new system architecture for building the next generation software system, where multiple single functional microservices can be distributed on different hosts and can communicate with light weighted network protocols. The advantages of such a system architecture are functioning decoupling, independent deployment for easy trouble shooting and easy maintenance. We have foreseen the current monolithic system will migrate to microservices architecture. However, currently there are no clear guidelines and evaluation criteria for breaking down a monolithic system into microservices. We are going to study this problem. The results can be 1) a set of evaluation criteria to evaluate the quality of the design of a microservices system; 2) a methodology and/or an algorithm to break down a monolithic system; 3) flexiable microservice composition.

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Faculty Supervisor:

Weiyi Shang

Student:

Mehran Ishanian

Partner:

Beaver AIT Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Enhanced analytical techniques for offshore structural integrity

Lyan Eng. Developments Inc. is looking to find novel ways to make processes in the energy sector more cost efficient. The results from this project have significant applications to pipeline integrity and platform integrity for sub-sea and off-shore applications. The robust failure prediction models are going to help engineers in various disciplines to accurately predict failure in complex structures.

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Faculty Supervisor:

Sam Nakhla

Student:

Ahmed Elruby

Partner:

Lyan Eng. Developments Inc

Discipline:

Engineering

Sector:

Oil and gas

University:

Program:

Accelerate

Inclusionary Zoning as a Municipal Tool to Support Affordable Housing in Winnipeg

In 2011, 21% of Winnipeg residents (or 61,790 households) were living in unaffordable housing, as defined by Canadian Mortgage and Housing Corporation (CMHC). Inclusionary Zoning (IZ) is a tool available to municipalities to respond to this issue by ensuring all new residential development includes a certain percentage affordable housing. Inclusionary Zoning is used successfully across the United States, Europe, and Australia to create affordable housing, but implemented differently by each city to respond to local need. Through engagement with North American municipalities that have enacted IZ, this research will explore key considerations for potential implementation in Winnipeg.

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Faculty Supervisor:

Richard Milgrom

Student:

Alissa Rappaport

Partner:

End Homelessness Winnipeg

Discipline:

Urban studies

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Improving Outcome by Optimizing Illumination (IOOI) Study

Insufficient and mistimed artificial lighting within the hospital environment can disrupt circadian rhythms, adversely affecting patients’ sleep, mood, and recovery. In collaboration with BC Hydro, we will run a study at the Burnaby Center for Mental Health and Addictions to test whether controlled 24-hour lighting with enhanced daytime brightness and restricted nocturnal light exposure can help regulate the circadian cycle and improve the sleep and psychological well-being of patients with concurrent disorder (co-occurring substance abuse disorder and mental health disorder). Throughout the study period (consisting of four weeks standard lighting and four weeks cycled lighting), participants will wear a Fitbit and light sensor and maintain a daily sleep log to track the timing, duration and quality of sleep. Also, participants will fill out a questionnaire assessing their mood, stress, impulsiveness and pain in both, the standard and cycled lighting phases. TO BE CONT’D

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Faculty Supervisor:

Ralph Mistlberger

Student:

Myriam Juda

Partner:

BC Hydro

Discipline:

Psychology

Sector:

Medical devices

University:

Program:

Accelerate

Design of Thermal System for Electric Wheels

A new cooling system will be designed for electric wheel system which is being developed on partner site to commercial vehicle. The electric wheel system can increase the dynamic performance, flexibility of operation and efficient of electric vehicle.

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Faculty Supervisor:

Hossam Gaber

Student:

Yoka Cho

Partner:

Wina North American Technology

Discipline:

Physics / Astronomy

Sector:

Energy

University:

Program:

Accelerate

Photons to Fish (PHISH): Ecosystem indicators of fish productivity

Recreational fisheries in Canada are estimated to provide over $2.5 billion dollars to local economies each year. There is a growing concern that industrial activities, climate change, and other factors may negatively impact the productivity of these fisheries and the freshwater ecosystems that support them. However, direct estimates of fish productivity are extremely challenging to undertake, especially in remote locations like Canada’s north. The purpose of this project is to evaluate the effects of major ecosystem disruptions on fish communities and provide a suite of indicators that can be used to monitor for potential changes in fish productivity, especially in locations where it cannot be measured directly. The information generated in this project will assist the IISD Experimental Lakes Area in providing strong, scientifically based, guidance to industry and policy makers on the protection of fish communities and the freshwater ecosystems that support them.

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Faculty Supervisor:

Michael Rennie

Student:

Bryanna Sherbo

Partner:

IISD Experimental Lakes Area Inc

Discipline:

Biology

Sector:

Environmental industry

University:

Lakehead University

Program:

Accelerate

Prediction of Insurance Coverage and Wait Times

The purpose of this project will be to develop a flexible and statistically sound methodology for leveraging BPI’s database of current and historical publicly available coverage information to model coverage trends in the U.S. health insurance industry. The project will also include the development of an R Markdown template for future predictive analytics reports. The templates and methodologies developed for this project will be integrated into BPI, Inc.’s custom consulting division. The outcomes will also be utilized to solicit interest in new predictive analytics projects or used to develop reports to sell in a syndicated version.

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Faculty Supervisor:

Farouk Nathoo

Student:

Yin Song

Partner:

BPI Inc

Discipline:

Mathematics

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Innovative solutions for industrial process management: Process efficiency and delivery sequence improvement for CLT products at Structurlam

Structurlam, a construction-wood products manufacturer located in Penticton, BC, needs to optimize their cross-laminated panels production line, aiming to increase machinery productivity, and minimize time and unnecessary shuffling of finished panels. The purpose of this project is to define equations and rules representing the production process of wood panel to enhance the productivity. The researchers will develop a schedule tool applicable to Structurlam’s facility and production process. The tool will provide the optimum wood panel production sequence. The project will also assess Structurlam‘s production methods, and suggest potential improvements. The scheduling tool will be in the form of a generalizable model, which can be used in similar facilities.

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Faculty Supervisor:

Kasun Hewage

Student:

Manjot Kaur

Partner:

Structurlam Mass Timber Corporation

Discipline:

Engineering

Sector:

Manufacturing

University:

Program:

Accelerate

Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by working with the industrial partner, we will develop a set of improved object detection and tracking algorithms for UAV. In particular, we will tackle the following sub-topics: 1.) weakly supervised object localization; 2.) visual object tracking and anomaly detection; 3.) partial face detection; and 4.) low-resolution object detection. The algorithms will be integrated into the partner’s products, thereby significantly enhancing their competitiveness in the market, and contributing more to Canadian economy and job market.

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Faculty Supervisor:

Rabab Ward

Student:

Jiannan Zheng

Partner:

Altumview Systems Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Quantifying soil organic carbon sequestration performance of the City of Calgary Willow Biomass and Marginal Land Reclamation Demonstration Project: Assessing potential provincial carbon emissions offset credit opportunities

The emerging emissions trading market provides the province of Alberta an opportunity to diversify its economy and drive climate change mitigation innovation. By improving the efficiency of earning carbon credits, more economic opportunities and carbon sequestration industrial applications are feasible. The City of Calgary Dewatered Biosolids Land Application – Willow Biomass and Marginal Land Reclamation Demonstration Project represents part of the first wave of large-scale biologically driven greenhouse gas management innovation. In this case, SOC sequestration is a beneficial by-product of sustainable waste management practices. However in the future, when potential projects and opportunities are more deliberately assessed on the bases of their sustainable development merits, triple-bottom-line scores, carbon emissions trading value, and measurable soil fertility restoration improvements, their SOC sequestration potential may be just the added value needed to tip the balance towards approving biogenic projects and further developing climate change mitigation and sustainable development technologies.

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Faculty Supervisor:

Stephen Murphy

Student:

Chelsey Greene

Partner:

SYLVIS Environmental Services

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

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