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

The role of wearable technology in a community-based program for language development and the impact of virtual program delivery.

The proposed research project is the virtual delivery of an existing program provided by the partner organization, Calgary Reads. LENA Start is a group program offered to parents of children aged 6 months to 3 years. The goal of the program is the provide parents with information regarding language development in the home and practical strategies to both increase parent language and conversational turns between the caregiver and child as well as increase parent knowledge and child language outcomes. Along with weekly sessions, parents complete a day-long recording of their child’s language environment using LENA devices. With this information, parents receive practical feedback about their child’s specific language environment. Due to the COVID-19 pandemic, group programs are not feasible and therefore the goal of this research project is to deliver the program via a virtual delivery, i.e., Zoom, and compare it to previously delivered programs in person to determine the costs/benefits of a virtual group program.

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Faculty Supervisor:

Penny Pexman

Student:

Lorraine Reggin

Partner:

Calgary Reads

Discipline:

Psychology

Sector:

Education

University:

University of Calgary

Program:

Accelerate

Eco-Friendly Styrofoam Substitute for Sustainable Food Packaging

Food packaging, particularly packaging for fish, relies heavily on the use of Styrofoam (i.e. expanded polystyrene or EPS). The world’s concern for environmental sustainability has prompted a need for eco-friendly alternatives and has led governments to enact single use plastics bans in many areas, such as Montreal and New York. Further, Canada is planning to be “zero-plastic waste by 2030” and over 35 other countries have already banned certain single use plastics.
This multi-year project includes the search for, or the development, of a material that is biodegradable and made from a renewable resource that will replace Styrofoam, for the purpose of food packaging. Along with this material search, a manufacturing solution to make fish boxes at a large scale will mirror this process.

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Faculty Supervisor:

Hossein Kazemian

Student:

Nasim Ghavidel Darestani

Partner:

Brown's Bay Packing Ltd.

Discipline:

Other

Sector:

Transportation and warehousing

University:

University of Northern British Columbia

Program:

Weakly supervised representation learning for sequential and composite actions.

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required to train viable action recognition systems.

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Faculty Supervisor:

Michael S. Brown

Student:

He Zhao

Partner:

Samsung Electronics Canada

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

York University

Program:

Accelerate

Sniffing Line in Mass Spectrometry for Direct Analysis

Mass spectrometry is a known for its capacity of detection of sample material with high sensitivity paired with high resolution and accuracy. Developing a “sniffing line” that would provide point-of-measurement capabilities for direct analysis of particulates on various surfaces is a necessary and novel method that will influence the mass spectrometry technique. Referred to as ‘sniffer line’, the apparatus will allow for surface contaminants to be more effectively sampled from the target surface and transported directly into the mass spectrometer. The result will be a more robust particulate analyzer providing enhanced detection ability, higher accuracy, shorter duration, decrease in cost-of-use, and real-time detection, while eliminating false-positive and false-negative errors which is an unaddressed issue in the industry. Recently, QuadroCore invented a new method to provide a more direct and sensitive detection system that detects minute traces of analytes from target materials. The goal of this project is to characterize the first “sniffing line” of this patent by researching, designing, and developing a suitable apparatus.

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Faculty Supervisor:

Qiyin Fang

Student:

Ramin Sharifi

Partner:

10667587 Canada Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Development of a novel methodology for predicting reliability of battery energy storage in marine applications

Battery energy storage systems (BESS) play a critical role in the electrification of the transportation industry. Despite many recent advancements in lithium ion chemistry at the cell-level, prediction of battery system lifetime remains a challenge at the system-level. Corvus Energy is the world’s leading supplier of safe, innovative, and reliable energy storage solutions for all segments in the maritime industry. This project will study the reliability of Corvus Energy’s market-leading Orca Energy BESS to better predict reliability of future BESS. It will then test Corvus Energy’s next-generation Blue Whale BESS to validate the models developed for Orca Energy. This work will allow for a comparison of next-generation BESS with existing BESS and traditional diesel generators. From the results of this work, a deeper understanding of the BESS’ lifetime will be obtained, allowing for increased adoption of BESS in marine transportation.

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Faculty Supervisor:

Martin Ordonez

Student:

Jorge Alejandro May Alvarez

Partner:

Corvus Energy

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Development and Optimization of a Multiple Slice Cardiac Dynamic Contrast Enhanced MRI Method for Monitoring Perfusion within Infarcted Tissue

Each year approximately two out of every 1,000 Canadians experiences a heart attack. These patients are at increased risk for heart failure, a serious condition in which the heart cannot pump enough blood to meet the body’s needs. Heart inflammation that lasts too long following a heart attack may increase the risk of heart failure. The development of an imaging method to monitor this inflammation will help scientists develop and apply therapies. Dr. Prato and colleagues have been developing such a method using an imaging machine that combines Positron Emission Tomography and Magnetic Resonance Imaging (PET-MRI). At present the MRI part of the method only covers a small section of the heart making it difficult to study all injured tissue. This proposal will develop methods to extend this MRI coverage. The method will be tested in phantoms and in a well-established canine model of heart attack.

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Faculty Supervisor:

Neil Gelman

Student:

Adam Farag

Partner:

Multi Magnetics Inc.

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Quantum and Quantum-inspired Optimization for Intractable Industry Problems

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry use and working in a business setting with clients. Internships provide a great opportunity for future career of the students at 1QBit. 1QBit will stay in touch with successful interns and offer hiring opportunities to the elite students after successful completion of their postgraduate degrees.

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Faculty Supervisor:

Michael P Friedlander;Ben Adcock

Student:

Einar Gabbassov

Partner:

1QB Information Technologies Inc.

Discipline:

Other

Sector:

University:

Program:

Accelerate

Infrastructure Corrosion Assessment Magnetic Method (iCAMM) technology for macro and micro defect detection of rail track

Because of the usefulness of non-destructive testing in the assessment of different types of materials, they have attracted widespread interest in the last years. Non-destructive testing (NDT) is a descriptive term used for the examination of materials and components in such a way that allows materials to be examined without changing or destroying their function. NDT plays a crucial role in everyday life and is necessary to assure safety and reliability. For instance, they are widely used in detecting defects in steel rebar in reinforced concrete. The main goal of this project is to go further and reach a NDT way to evaluate macro and micro defects on the rail road. The proposed technology is based on a Passive Magnetic Inspection (PMI) .A passive method means there is no direct magnetic field generated and applied, nor is there any electrical current passed through the system (i.e., the rail track).

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Faculty Supervisor:

Giovanni Cascante;Maurice Dusseault;Shunde Yin

Student:

Roozbeh Rahimijurabi

Partner:

InspecTerra Inc.

Discipline:

Engineering - civil

Sector:

Transportation and warehousing

University:

University of Waterloo

Program:

Understanding Coastal Ecosystem Response to Nature-Based Climate Adaptation Methods in a Cold Climate

The maritime provinces are currently facing questions around how to create more resilient coastal communities in the face of a changing climate, specifically due to impacts of sea level rise and increasing severity and frequency of storm events. One option for adapting to climate change is to move away from hard infrastructure towards softer/greener approaches, such as nature-base adaptation solutions, also known as “building with nature”. This research project will focus on two nature-based adaptation solution pilot projects in Nova Scotia and New Brunswick to assess how ecosystems respond to various methods, including managed realignment and beneficial reuse of dredge material. These “building with nature” options will replace hard infrastructure with softer approaches to help facilitate ecosystem and habitat recovery. Research will focus on pre and post construction monitoring to understand how ecosystems recover and what impacts ice and snow have on the various nature-based adaptation methods.

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Faculty Supervisor:

Danika van Proosdij

Student:

Samantha Lewis

Partner:

CBWES Inc

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Genes to affordable medicines – Stream 1-A2

The Structural Genomics Consortium (SGC) is a not-for-profit public-private partnership research organization that aims to accelerate the discovery of new medicines through open science. This Mitacs cluster will bring together SGC’s industry and academic collaborators to work together towards new and affordable medicines for challenging diseases. Sixty-three post-doctoral fellows will spend 2-3 years developing open source tools and knowledge for previously understudied proteins, thereby unlocking new areas of biology and identifying new opportunities for drug discovery. SGC’s spin-offs, the M4 companies, will be the vehicles to translate this knowledge into new medicines for rare and challenging diseases that have been excluded from traditional pharma company programs. The M4 companies are committed to open science and sharing, and to affordable pricing to ensure patients can access the new drugs.

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Faculty Supervisor:

Cheryl Arrowsmith;Jinrong Min;Masoud Vedadi;Matthieu Schapira;Dalia Barsyte-Lovejoy;Mark Lautens;Alexandre Gagnon

Student:

Joachim Loup

Partner:

Structural Genomics Consortium

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development. This project consists of the development and implementation of a data management strategy for a local community mental health organization with the overall aims of increasing the data utility and research capacity of the organization, and providing strategies and lessons learned for the use of big data in a community mental health setting. The project will include a scoping review, a needs assessment, and a developmental evaluation of the implementation of the strategy. In addition, it will include two follow-up studies that will use the organization’s data to: 1) examine the evolving use of virtual care in light of the COVID-19 pandemic; and, 2) develop a fidelity measure of the strengths model of case management, an intervention used by the organization.

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Faculty Supervisor:

Tim Aubry

Student:

Maryann Roebuck

Partner:

Canadian Mental Health Association - Ottawa Branch

Discipline:

Psychology

Sector:

Health care and social assistance

University:

University of Ottawa

Program:

Elevate

Unit Commitment Problem Integrated with Plug-in Electric Vehicles and Renewable Energy Sources

Electric Power is crucial challenge for every nation. Canada is a developing country and the development of any country is nudged by the amount of electricity used by that country. The size of the power system is growing exponentially due to heavy demand of electricity in all the sectors viz. agricultural, industrial, residential, commercial and charging of Plug-in EVs/HEVs etc. The ever-rising demand for energy has led professionals to look out for renewable sources of energy and with its growing influence. Global warming, degradation of the ecosystem and quality of air requires serious plan of action. More work needs to be done in this sector. Motivated by these research challenges, the intend of the proposed research is to develop a hybrid meta-heuristics research algorithm for the solution of profit based unit commitment problem of electric power system with due consideration of power demand of plug-in charging vehicles and renewable energy sources.

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Faculty Supervisor:

Om P Malik

Student:

Vikram Kumar

Partner:

Agam Enterprises

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Calgary

Program:

Elevate

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