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 Effect of Probiotic Intake on Intestinal Permeability of Healthy Adults

A typical individual will encounter countless instances in their life where various stressors, such as the consumption of alcohol, ingestion of pain relieving medications such as non-steroidal anti-inflammatory drugs (NSAIDs), or experiencing stress itself, may damage ones intestines in a way they never knew was possible. All of these stressors have been associated with increased intestinal permeability, which is essentially when the walls of your intestines lose their integrity so parts of the stool or toxins in the intestines can actually be absorbed into the body. Increased intestinal permeability can be harmful over time. One solution that is currently being investigated to defend the body during these periods of “stress” is through the consumption of a probiotic supplement, which are live bacteria that have been shown to provide benefits to humans. In the present study, the effects of a probiotic supplement will be studied in 30 healthy individuals.

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Faculty Supervisor:

Stan Kubow

Student:

Taylor Combs

Partner:

Lallemand Health Solutions

Discipline:

Food science

Sector:

Agriculture

University:

McGill University

Program:

Accelerate International

Social Enterprise, Impact and Sustainability Using the Logic of Business Models

Social enterprise is an approach that applies business tactics to solving a social or environmental challenge. Social entrepreneurship can be found in any organizational setting: non-profit, business, and government. This Research Project is designed to study innovative social enterprises, with the goal of creating a taxonomy of business models in social entrepreneurship. Taxonomic information is useful in creating shared language in emerging field. Further a taxonomy of existing business models systematically used in order to tackle pressing social problems supports further innovation by providing guidance on the types of models employed in various circumstances. The findings from the proposed research will establish a path to financial sustainability enabling innovative social enterprises to survive and ultimately thrive with minimal or no support / donation dollars. Additionally, practitioners and scholars will glean new insight into how to scale up a successful social enterprise to achieve a wider and deeper impact.

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Faculty Supervisor:

Alice de Koning

Student:

Amaka Sanni;Angela Ambrose;Katheryn Abou-Chakra;Mounil Shah;Namista Tabassum;Nastaran Azodifar;Schenley Brown

Partner:

United Way of Calgary and Area

Discipline:

Geography / Geology / Earth science

Sector:

Other services (except public administration)

University:

University of Calgary

Program:

Accelerate

Self-supervised learning for EEG signals

An increasing number of wearable devices collect and use physiological information to track physical and mental health on a daily basis. While large-scale research initiatives allow an unprecedented amount of data to be collected, biosignal analysis techniques have yet to catch up. Indeed, analysis tools designed by hand based on small datasets available in traditional research settings are still widely used. In this project, we propose to use deep learning, a subfield of machine learning dedicated to jointly learning features and decision rules from large amounts of data, to automatically uncover key patterns that emerge when studying the brain activity of very large populations. These patterns can then be used to more effectively extract useful information from biosignals. This work will allow companies like InteraXon Inc. to create value from the physiological data they collect and develop useful applications for the everyday user of wearable devices.

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Faculty Supervisor:

Sue Becker

Student:

Hubert Jacob Banville

Partner:

InteraXon Inc

Discipline:

Computer science

Sector:

Other services (except public administration)

University:

McMaster University

Program:

Accelerate International

Metabolic and biochemical characterization of terpenoid profiles in the high-value plants hop (Humulus lupulus), tea tree (Melaleuca alternifolia), and cannabis (Cannabis sativa)

Despite advances in biotechnology and organic synthesis, plants remain the main source of many of high-value bioactive compounds used in the medical, fragrance and food industries. Increasing demand for bioactive plants (e.g., cannabis and extracts thereof) require robust authentication approaches to verify feedstock, identify product adulteration and ensure product safety for consumers. This research aims to develop such robust testing methods for a wide range of high-value plant materials and related products including tea tree (Melaleuca alternifolia) oil and hops (Humulus lupulus), as well as cannabis (Cannabis sativa) and edible cannabis products. Our work will focus on terpenoids with conventional and enantiomeric profiling approaches, as enantiomeric terpenoids may exert distinct biological effects separate from and/or in combination with other compounds. We will use state-of-the-art gas chromatography-mass spectrometry coupled with various sampling methods (e.g., high-temperature headspace and vacuum-assisted sample extraction) for phytochemical profiling of commercial hops, tea tree essential oils, and cannabis varieties with a focus on mono- and sesqui-terpenes. High-throughput comparative genomics/transcriptomics, biochemical characterization and synthetic biology will follow to elucidate the biochemical pathways behind any distinct terpene enantiomer profiles, and potentially produce these valuable stereoisomers on scales appropriate for further research and development.

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Faculty Supervisor:

Thu Thuy T Dang;Gino DiLabio

Student:

T. Don Nguyen

Partner:

Supra Research and Development

Discipline:

Chemistry

Sector:

University:

Program:

Elevate

Preventing Risk for Metabolic Syndrome in Workaholics: An Intervention

Tendencies towards workaholism have been linked to poor health and increased risk for diabetes and other chronic condition. A health improvement program that is interwoven within the workplace and leverages the ubiquitous use of smartphones has good potential of benefiting the workforce. The aim of this research project is to evaluate Transform, a digital health program created by Blue Mesa Health. The program is designed to prevent diabetes by helping people adopt healthier lifestyles. More specifically, this study will look at the impact Transform has on weight, physical activity workplace performance and stress management. Blue Mesa Health seeks to develop a strong research portfolio on Transform in order to provide a high-quality intervention that is both effective and competitive. BMH has plans to begin serving Canadians in 2019. Establishing collaborative partnerships in the Canadian academic arena is valuable to the growth and success of the company.

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Faculty Supervisor:

L.L. ten Brummelhuis

Student:

Mariana Toniolo Barrios

Partner:

Blue Mesa Health

Discipline:

Business

Sector:

University:

Simon Fraser University

Program:

Accelerate

Development of an Unmanned Glider for Autonomous Soaring

We will develop an algorithm for a small unmanned glider (a plane-shaped drone) to soar autonomously. Gliders gain energy from the atmosphere by flying in circles in streams of rising air, called thermals. This allows them to stay aloft for extended periods of time, in the range of several hours. Detecting thermals, as well as harvesting energy from them, with an automatic pilot, is the challenge that we are tackling in this work. We will write the program, as well as test it, both in a flight simulator and in the field (with a remote-controlled drone, flying autonomously). The partner organization builds glider-based autopilot solutions for the purpose of monitoring large and remote areas such as forests and fields, hence the need for a reliable thermalling flight controller.

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Faculty Supervisor:

Meyer Nahon

Student:

Fares El Tin

Partner:

TandemLaunch Technologies Inc.

Discipline:

Engineering - mechanical

Sector:

University:

McGill University

Program:

Accelerate

Creating an autonomous underwriting system for financing approval

This project aims build an autonomous underwriting system that can provide debt financing to small and medium enterprises (SMEs) in the technology sector without human intervention. The research will explore mathematical methods and key factors that are unique to evaluating creditworthiness of those SMEs. The result will be an underwriting system that incorporates statistical methods and machine learning algorithms to perform prediction with higher accuracy than what humans can achieve. Such intelligent and autonomous debt approval system will streamline the lender’s decision-making process and ensure the SMEs get the funding they need at a lower cost. This will lead to more successful companies, higher employment, and more technological innovations in Cana

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Faculty Supervisor:

Jeff Orchard

Student:

Tuan Anh Bui

Partner:

Venbridge

Discipline:

Computer science

Sector:

University:

University of Waterloo

Program:

Accelerate

Development of Green Ceramic formulations, testing and manufacturing process from Alberta oil sands tailings

Occupying the large tailings ponds is the most significant environmental issue for oil sand conventional extraction process. Making Green Ceramic/building materials is the most promising method to reduce the size of tailings ponds. This not only leads to consumption of tailings but also results in valuable products for the construction industries. The main objectives of this research are to introduce compositions and techniques for production of building materials; and evaluate its performance under harsh environment (cold and windy weather) particularly in Alberta by complying with Alberta Building Code. The initial design of experiment and research on characterization of different tailings, the composition and method of manufacturing of the building materials were investigated by the intern. Application of the developed techniques would reduce the size of the tailing’s ponds, and the associated environmental liability and risk. TO BE CONT’D

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Faculty Supervisor:

Mohtada Sadrzadeh

Student:

Mirjavad Geramian

Partner:

Green Ceramics

Discipline:

Engineering - chemical / biological

Sector:

University:

University of Alberta

Program:

Accelerate

Using beneficial microbes to mitigate the effects of climate change on plant nutrition, resistance to insects, and drought

Climate change has major present-day and anticipated consequences for Canadian and global food security. Increasing carbon dioxide (CO2) levels can lead to decreased plant nutritional quality: more fixed carbon and sugar means that plants have less protein and micronutrients per gram. Additionally, increased CO2 levels can exacerbate insect pests on crops because elevated CO2 interferes with plant signalling and suppresses plants’ ability to respond to stressors. Below ground, plant roots associate with complex communities of microbes (called their microbiome) that can promote growth and protect plants from insect pests. Individual microbes can positively affect plant traits that are negatively impacted by climate change including plant pest resistance, food quality and drought tolerance. The goal of this research is to determine whether beneficial microbes can directly mitigate the detrimental effects of climate change on plant nutrition, resistance to insects, and to drought under elevated CO2. TO BE CONT’D

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Faculty Supervisor:

Cara Haney;Juli Carrillo

Student:

Yi Song;Quentin Geissmann;David Thoms;Jamie Cook;Nicole Yang;Zhexian (Frank) Liu

Partner:

Terramera Inc

Discipline:

Biology

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Impairment screening utilizing biophysiological measurements and machine learning algorithms

In this project, a comprehensive testing station for impairment screening will be implemented. The station includes an eye testing goggle, movement detectors, biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement to diagnose the status and type of impairment. The hardware technology resides at the industry partner while this project is focused on implementation of data gathering and data storage platforms, feature extraction and selection algorithms and machine learning algorithms to quantify levels of impairment. The project involves comprehensive analysis of multiple available data types and their correlation to the impairment level, and implementation of classification algorithms (supervised/unsupervised) and ensemble methods to perform screening based on type of impairment. The results of this project can be used for automation in roadside sobriety testing procedures. TO BE CONT’D

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Faculty Supervisor:

Edward J Park

Student:

Saboora Mohammadian

Partner:

CannSight Technologies Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Assessing the impact of STEM programming on children and youth.

In the twenty-first century, coding literacy provides individuals with a host of useful skills and competencies as well as accompanying psychological benefits. Yet, at present, very few pedagogical models or curricula include coding literacy as a central focus. STEM interventions, often found in after-school care programs and summer camps, help address this gap by offering targeted programming aimed at developing these competencies in children and youth. The present project will help assess the benefits and effectiveness of one of these programs by investigating how an exposure to STEM programming impacts the grit levels of the children in grades 1 through 8. This study will also assess the program’s structure, and include interviews with program participants assessing their experience.

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Faculty Supervisor:

Carolyn FitzGerald;Julie Mueller

Student:

Daniel Anderson

Partner:

Canada Learning Code

Discipline:

Psychology

Sector:

Education

University:

Wilfrid Laurier University

Program:

Accelerate

Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the state-of-health for batteries in mobile devices. The intern will use the metrics collected by SOTI Insight Agent to derive formulas to calculate the key performance indicators (KPIs) of the battery system. Using the KPIs, the intern will explore all the feasible machine machine and neural networks algorithms to obtain a better understanding and prediction of batteries’ health conditions. This will help the Canadian customers minimize cost of device maintenance, as well as total cost of ownership while ensuring a minimal impact and loss to business productivity.

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Faculty Supervisor:

Murat Erdogdu

Student:

Feixiong Zhang

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

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