Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31914 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9949
QC
98
PE
629
NB
1215
NS

Projects by Category

Type 2 Diabetes Management using mobile health technology among South Asian Communities: A Feasibility Study

Gini Health has designed a personalized mHealth and eCounseling intervention for the management of Type 2 diabetes in the South Asian community. For this project, the intern will analyze and interpret secondary, anonymized data that have been collected by the Gini Health team in the implementation of their T2DM management program. Gini Health will benefit by having an experienced post-doctoral fellow leading and overseeing the evaluation team to ensure the research is following best standards. The intern will contribute with previous experience and innovative perspectives on the use of technologies to promote behaviour change in the South Asian community in Canada.

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Faculty Supervisor:

Sam Liu;Tim Gibbins;Tim Gibbins;Sam Liu

Student:

Partner:

Gini Health

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Conestoga College Institute of Technology and Advanced Learning

Program:

Accelerate

Development and Calibration of DEM Materials Based on Rock Penetration Drillibility Parameters

Distinct Element Models (DEM) are a class of material models that represent the material as a domain of small elastic balls bonded by non-linear elastic springs with defined shear and tensile bond strengths. A part of this internship is a follow up work based on work done by another member of Advanced Drilling Group (ADG) member during his internship which was focused on researching a number of rock analogue materials and measuring 8 drilibility parameters, proposed by Baker-Hughes [2], for them. As a follow up to this work, the measured drillibility parameters are going to be used as a reference for creating DEM rock type materials. The standard procedure recommended in the PFC2d library [7] is going to be modified to be able to match the as many of drillibility parameters possible. These DEM materials can be used later in the rock cutting DEM toolkit [3] that has been already developed by this intern to further study the behavior of different rock types in a cutting phenomenon. l

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Faculty Supervisor:

Stephen Butt

Student:

Partner:

Itasca Consulting Group Inc

Discipline:

Engineering

Sector:

Construction; Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

PRESUNA – Phase 1 Market Potential and Adoption Strategy

Chronic diseases including congestive heart failure are a huge burden on the healthcare system and lead to a high degree of patient suffering. Ultrasound-guided therapies (UGT) hold a lot of promise to reduce chronic disease-associated hospital admissions and complications, however currently the use of UGT requires a systems-based support which may be too complex and costly for routine clinical use and widespread adoption. Further, widespread clinical use of UGTs is hampered by the scarcity of ultrasound-competent clinicians and the accessibility of point of care ultrasound (POCUS) experts available to train interested clinicians. At PRESUNA, we have developed a non-invasive, reliable and affordable way to quantify the ultrasound findings of diagnosed chronic disease over time. A secondary but equally important component of our business is our ultrasound competency training which will allow POCUS experts to train POCUS newcomers and assess ongoing competency. We are in late-stage development of our competency training and gearing up for market entry. Through this project, the intern (Ean) will assist with the critical commercialization components of our competency training including market segmentation, sizing and marketing. Ean will also lead the creation of PRESUNA’s Knowledge Base to enhance global POCUS education, in turn helping to accelerate POCUS adoption and ultimately the usage of UGTs. Further, Ean will help to establish PRESUNA’s public image and help us to grow our clinical network as we prepare for market entry. This project will be hugely beneficial for PRESUNA in establishing our marketing and commercialization strategy.

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Faculty Supervisor:

Irene Ma

Student:

Partner:

PRESUNA

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Business Strategy Internship

GoodLawyer Fall 2021

Our intern will support the planning and execution of projects and operations across Canada. Goodlawyer
is currently in a scale up stage and our MBSI intern will be central to our efforts to grow our user base and make Goodlawyer a success. Most projects will revolve around digital marketing and marketing automation through a variety of sophisticated marketing technologies, as well as
customer discovery and support.

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Faculty Supervisor:

Martin Halek

Student:

Partner:

GoodLawyer

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Business Strategy Internship

Intelligent Inventory and Personnel Management

Kent Building Supplies (referred to as Kent from hereon) has 49 retail locations across Atlantic Canada. We have started developing Robotic Process Automation (RPA). RPA significantly reduce the human intervention and generate exception-based flagging reports. We would like to continue deployment of RPA for new tasks and use unsupervised and supervised machine learning to improve the rules used and exceptions generated in RPA processes.
Kent has also initiated predictive and prescriptive analytics using machine learning for their inventory management. One of their first forays was into the use of statistical and machine learning based regression analysis to predict an acceptable range of inventory for every product at any point of time in every store. The results are encouraging. We would like to refine these predictions models to include additional variables such as promotions, seasons, weather. Kent stores vary in size from a small rural store to a mega-store in an urban setting. We would like to explore the possibility of using transfer learning so that stores can benefit from the data across the entire chain. Furthermore, we would like to use AI based optimization to extend the inventory management over a sub-region.

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

Kent Building Supplies

Discipline:

Computer science

Sector:

Retail trade

University:

Saint Mary's University

Program:

Business Strategy Internship

Business Transition of The Water Shed (continue with implemented CRM Implementing new sourcing strategy, New Inventory/warehousing management system, Pricing strategy, People & administration, Business communication process).

“The Water Shed Inc.” was founded in 1980, which offers a full spectrum of water services in the province of Nova Scotia as a residential service business. The company was acquired by Lee Barette and Mark Greatorex in January 2021. The Water Shed is currently experiencing a complete business transition from a manual and paper based work process to a systematic and technology based process. The business strategy is supposed to transform with a new CRM, Sourcing strategy and inventory management system, New learning management system, sophisticated people and administration process with a standardized working procedure. This is a complete transition of the company’s business and technology strategy, pertaining to organization’s internal infrastructure interms of administration structure, process and skills as well as externally to the scope, competencies and governance factors.

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Faculty Supervisor:

Ethan Pancer

Student:

Partner:

The Water Shed Inc

Discipline:

Business

Sector:

Construction and infrastructure; Utilities

University:

Saint Mary's University

Program:

Business Strategy Internship

Increasing Innovation and Collaboration Opportunities in the Oceans Sector

Ocean industries in Canada contributes about $31.7 billion a year to the economy and make up 1.6 percent of the country’s gross domestic product. Canada has tremendous opportunity to build on the outcomes achieved to date, harness our collective national strengths and resources. Canada’s ocean industries sector can help drive our economic recovery. It will take a diverse and inclusive talent base to help us achieve this objective. Today, there are significant talent hurdles that Canada must address to increase its competitiveness, innovation and market leadership in this global sector. Today, women comprise only 2% of the global ocean industry. According to research from McKinsey, by advancing women’s economic empowerment, Canada can add $150 billion in incremental GDP by 2026. The proposed Canadian Women in Ocean Industries Leadership initiative – CWOIL will directly address this goal, increasing Canada’s leadership, competitiveness and contribution to ocean industries. It will foster an ocean talent pipeline by attracting women and under-represented people including equity seeking groups: 2SLGBTQ+ community; persons with disabilities; and racial groups, increasing the competitiveness of this industry.

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Faculty Supervisor:

Shawn Pendergast

Student:

Partner:

Oceans Advance

Discipline:

Physics

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Developing a therapeutic defined microbial community for the treatment of Depression

Depression is an illness that impacts 1 in 6 people during their lifetime. While there exist a number of medications to treat this illness, half of those whom need them either do not respond or can not tolerate current medications because of side effects. Therefore there is an urgent need to develop new ways to treat depression. One of the areas being explored as a potential option is based on what is now known as a strong link between the bacteria that live in our gut and the brain. We are now looking at what specific bacteria are responsible for this effect so that we can design a bacterial based medication for the treatment of depression. We will identify bacteria which are different between people with and without depression and then use machine learning to predict which specific strain will have the potential to improve depressive symptoms, treat depression.

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Faculty Supervisor:

Prameet Sheth

Student:

Partner:

Taylored Biotherapeutics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

An accelerated COVID-19 diagnosis tool using interpretable deep learning

This research aims to develop an efficient machine learning model to detect COVID-19 patients by using their cough signals. The model is trained using thousands of audio recordings of cough signals from different subjects. The audio signals can be converted into spectrogram images that can be visually inspected to determine relevant regions of interest. There are two challenges in building the prediction models, including 1) complexity of finding the best architecture of the machine learning model and 2) understanding the reasons behind specific predictions. Since we model the problem as a set of images, we can exploit previously published state-of-the-art deep learning models under certain modifications. Further, we address interpretable approaches that can identify different conditions and highlight areas of interest while predicting positive or negative COVID-19 cases. Domain experts can then look at the outcome and confirm if the right parts of the cough spectrum are considered.

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Faculty Supervisor:

Othman Soufan

Student:

Partner:

Zensark, Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

St. Francis Xavier University

Program:

Accelerate

Building the Evaluation Capacity of the Alberta Mentoring Partnership – Part 2

The goal of the proposed research project is to assist the Alberta Mentoring Partnership (AMP) is building the capacity of Alberta mentoring organizations to evaluate their mentoring programs using a community-driven approach. In particular, this year, we hope to develop and implement more accessible supports that will build the capacity of those organizations who have lower pre-existing knowledge, skills, and motivation to evaluate their programs. We hope that by helping these organizations build their capacity to gather evidence on their programs, they will be able to use that evidence to inform the best possible programs, practices, and policies for supporting children, youth, and families.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Partner:

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline:

Sociology

Sector:

Education; Health and Related Sciences & Technology; Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Efficacy of Self Myofascial Release Techniques

Roller-massager is a convenient tool that uses upper body strength (rather than body weight) to move the roller across a muscle to imitate massage effects. Massage has been used to remove the knots and tensions sometimes found in muscle that can lead to pain and stiffness. It is not known if a roller massager can on its own or when used with massage can help alleviate the pain and stiffness associated with these muscle restrictions (knots or cramps). To date there are no published studies to validate the effectiveness of the roller massager. Therefore, the aims of the present study are to investigate the effectiveness of using Roller-massager as a technique similar to massage (i.e. removal of trigger points) to improve muscle pain, range of motion (ROM), strength, endurance and muscle activation. Secondly we will compare the results of the roller-massager as a follow up protocol after trigger point release by a massage therapist (combination of two techniques). Hopefully these results will provide insights into how the roller massager works and the best ways to use it in order to alleviate pain and stiffness

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Faculty Supervisor:

David Behm

Student:

Partner:

ProActive Physiotherapy Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

Modeling disease networks using graph machine learning

Using Simmunome simulations, researchers and companies can predict the likelihood of success or failure before embarking on, or continuing with, costly clinical development programs. We focus on understanding the biological system and applying this towards higher accuracy in disease simulations. We achieve this by using different types of data from various public and proprietary sources to better characterize the biological system. This process requires increasing complexity in our AI algorithms which therefore significantly increases the complexity of the computational models. The aim of this partnership is to research and apply cutting edge machine learning approaches from the fast-moving AI domain graph machine learning by working with experts in this area.

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Faculty Supervisor:

Gilles Caporossi

Student:

Partner:

Simmunome Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.