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

Safe Harbour for Military, Veteran and Family Health Research Data

The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large. Comprehensive and complete medical records for any given population are generally not available for research purposes due to the access challenges and strict privacy protection practices that are necessarily enforced by the organizations that store and maintain these health databases. This project proposes to explore a safe harbour environment that includes secure data extraction and linking components and that adheres to the strict policies that protect the access to the source data while facilitating creation of properly de-identified linked datasets from different sources to facilitate more complete future MVFH research.

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Faculty Supervisor:

Patrick Martin

Student:

Mohamed Rakha

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Medical devices

University:

Program:

Accelerate

The Sherbrooke Personalized Cancer Avatar Model Initiative: A Feasibility Study of Treatment Guided by the Combination of DNA Profiling and Next-Generation Medical Avatars in Patients with Advanced Kidney Cancer

We recently developed a rapid and cost-effective pre-clinical technology that is well suited for precision medicine –the ex ovo chicken embryo ChorioAllantoic Membrane (CAM) assay. Our goal is to perform a pilot study that combines tumor genotyping data and the use of personalized CAMavatars, to predict drug sensitivity in renal cancer patients and to test newly developed cancer therapies. We also propose technical advances to the CAM technology and the development of a humanized CAMavatar model that can be used for testing immunotherapy. We expect to establish this next-generation Avatar model as state-of–the-art screening facility for personalized cancer drug development and in patients’ treatment options. For IBio, the development of an improved CAMavatar technology proposed herein will increase the number and scope of new partnerships in the field of therapeutic and diagnostic antibodies, resulting in at least one to two jobs created per new agreement. TO BE CONT’D

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Faculty Supervisor:

Claire Dubois

Student:

Kelly Harper

Partner:

ProMetic Biosciences

Discipline:

Visual arts

Sector:

Medical devices

University:

Program:

Accelerate

Interactive Reinforcement Learning Speedup with Confidence-based Transfer Learning

Reinforcement learning (RL) is a type of machine learning that focuses on allowing a physical or virtual agent to complete sequential decision-making tasks, such as video games. It has had many successes, but can be slow in practice, requiring large amounts of data. This project aims to speed up such learning problems by leveraging information from an existing agent. This existing agent need not be perfect – the algorithm developed will leverage information from the existing agent whenever possible and learn to outperform it where it is suboptimal.

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Faculty Supervisor:

Martha White

Student:

Zhaodong Wang

Partner:

Borealis AI

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Efficient design and implementation of concatenated error-correction coding for high-throughput fiber-optic links

The project targets design and implementation of error-correction codes for high-throughput fiber-optic communication links. We focus on the error-correction encoding at the transmitter side as well as decoding at the receiver side considering the simplicity of implementation and low power consumption at both transmitter and receiver.

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Faculty Supervisor:

Dmitry Trukhachev

Student:

Heba Sultana

Partner:

Precise-ITC Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

Understanding glass sponge reef structure and function using a structure-from-motion approach

Glass sponges build their skeletons out of silicon dioxide (i.e. glass). While these animals are found all over the world in very deep water, they only exist shallower than 50 m in a few places in the world. In very rare cases, new sponges grow on top of existing, dead sponges and form reefs in a similar manner to coral reefs. As with coral reefs, the structure formed by the reefs is ecologically important because it provides complex habitat and shelter for other animals. However, the structure of the reef can be challenging to measure using the two-dimensional methods that ecologists traditionally use. We propose to measure the glass sponge reefs using technology that captures 3-D shapes using photos or videos, and to explore what 3-D information can tell us about the health of the ecosystem. TO BE CONT’D

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Faculty Supervisor:

Sally Leys

Student:

Nikita Sergeenko

Partner:

Ocean Wise

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

Smart Meter IOT: Security vs Privacy in a Heterogeneous IOT environment

Internet of Things (IOT) enabled communication devices have become a ubiquitous commodity in the smart metering solutions world for the purposes of “getting the data off the meter”. Many of these devices have little to no measurable security, aside from the infamous “security through obscurity” which we can no longer rely on, as the average individual has access to off-the-shelf “discovery” tools to infiltrate any such device within physical distance. Further exasperation of the problem lies in the general heterogeneity of the whole system (from smart meter, to communications module, to cloud delivery, to network server and eventually to the centralized head end system). Achieving a novel and strong security protocol throughout the transmission pipeline (and on the end device nodes), as well as maintaining privacy of the users/customers while achieving security and allowing for adequate maintenance within the pipeline are the main objectives of this research project. TO BE CONT’D

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Faculty Supervisor:

Abdelkader Ouda

Student:

Mohammed Zourob

Partner:

Sagacity Software Inc

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

HEAL-Me: Home-based eHealth (Exercise and Nutrition) in Cirrhosis

For patients with end-stage disease, like cirrhosis, their only treatment option is life-saving organ transplantation. The wait for an organ can take many years over which the patient’s condition continues to deteriorate as there is no other treatment. However, maintaining physical activity and a good nutritional intake is necessary to remain on the wait and have successful health outcomes post-transplantation. For many patients, this situation is challenging to balance.
Driven by our patient experiences and limitations of pre-transplant care, we are using e-health to create an accessible, home-based, interactive app. With attention to the nuances of gender and diversity in the Canadian population, our two-year research will identify motivational behavior predictors. These will be incorporated into a hybrid app/web-based platform, HEAL-Me, intended for patients with and without hepatic encephalopathy.

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Faculty Supervisor:

Puneeta Tandon

Student:

Kathleen Ismond

Partner:

Lupin Pharma Canada

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Biovalorization of lobster by-product for applications in food safety and packaging

The waste/by-products generated from lobster processing are rich in valuable compounds, one of which is chitin/chitosan. Chitosan is a natural polymer that has wide ranging applications in several fields ranging from agriculture to cosmetics. Specifically, the ability of chitosan to act against pathogenic microbes is of interest in this study. The aim of this project is to use a sustainable and mild extraction approach to obtain chitosan from lobster shell waste. Furthermore, the lobster shell-derived chitosan will be used to develop novel antimicrobial packaging (both edible and non-edible) and assessed on their ability to control microbe related spoilage.

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Faculty Supervisor:

Beth Mason

Student:

Avik Khan

Partner:

Saputo

Discipline:

Environmental sciences

Sector:

Forestry

University:

Program:

Accelerate

Picking Up Our Medicine Bundles in a Modern Day Context

Communities in Northern Saskatchewan have overwhelming epidemic rates of suicide. This loss is compounded by the unresolved grief and inter-generational trauma associated with the legacy of residential schools. There is a clear connection between high suicide rates and the historical trauma experienced by Indigenous people. Mental health services for Indigenous youth in rural and remote communities are delivered by outsiders, through a medical “helicopter health” approach.
This research examines Indigenous methods of healing as a way toward a sustainable holistic youth healing program for rural and remote communities. The research findings will be prepared in a document to influence policy change with hopes that locally developed indigenous methods of healing are supported by policies that guarantee long term impact. We hope to strengthen and mobilize community processes from the inside-out; empowering Indigenous youth and families as they learn how to pick up their knowledge bundles in today’s world.

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Faculty Supervisor:

Siomonn Pulla

Student:

Marie Mihalicz

Partner:

Green Arrow

Discipline:

Anthropology

Sector:

Aboriginal affairs

University:

Program:

Accelerate

THE EFFECTS OF RESP-AID ON ASTHMA

Asthma is one of the serious forms of respiratory diseases causing economic losses and high mortality in the world. RESP – AID is an innovative formula developed by NHV Natural Pet Products to support respiratory disorders and bronchial infections. It is composed of 6 commonly used herbs: Coltsfoot (Tussilago farfar), Marshamallow (Althaea officilanes), Plantain (Pantago major), Mullein (Verbascum Thapsus), Horehound (Marrubium vulgare) and Licorice (Gycyrrhiza glabra). These herbs have been widely used in asthma treatment and can reduce coughing and sputum production, or anti-inflammatory and immunomodulatory activities. However, the effects of these herbs in asthma have not been fully elucidated. Based on the theoretical benefits of RESP-AID, we will conduct a series of studies to explore the efficacy, safety and mechanism of action of RESP-AID.

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Faculty Supervisor:

Shelley Kirychuk

Student:

Amanda Florentina do Nascimento

Partner:

NHV Natural Pet Products

Discipline:

Agriculture

Sector:

Forestry

University:

Program:

Accelerate

Bench Marking of FEA Software Packages in 2D and 3D

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes processing time too long, which reduces efficiency and adds costs. Therefore, in this project I will simplify 3D model into beam element (2D beams representing parts in 3D space to create structure). This will give us an estimation of the actual performance but save lots of processing time.

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Faculty Supervisor:

Kamran Behdinan

Student:

Chaojin Jia

Partner:

SPP Canada Aircraft Inc

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Intelligent mini-unmanned Aerial Vehicles (UAVs) for automated skin cancer screenings

The main goal of this project is to design a UAV-based image acquisition system to capture high quality full body images which will be integrated into DermEngine Full Body Imaging (FBI) module. With this system, we intend to achieve consistency between different images that FBI needs to analyze. We also plan to deliver an easy-to-use, affordable, compact, and automated system for experts, physicians, and even patients.
At a very high level, we are looking at a mini-UAV that can be programmed and controlled by sensors to fly in a specific path around the patient body and captures high quality images at different angles. At this stage, we just want to conduct a feasibility study to specify and customize a vision-based indoor navigation system for this application. In future, we plan to develop the complete UAV-based TBP system which will be smart, autonomous, and able to capture 3D images.

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Faculty Supervisor:

Siamak Arzanpour

Student:

Behnam Farahani

Partner:

MetaOptima Technology Inc.

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Program:

Accelerate

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