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

Sea cucumber (Cucumaria frondosa) processing discards (viscera): Potential nutritional supplements (powder and liquid extract)

The most common sea cucumber found in the North Atlantic Ocean is orange footed Cucumaria frondosa. Sea cucumber is packed with numerous high-value nutraceuticals and pharmaceuticals. During sea cucumber processing, visceral by-products are discarded as waste, representing around 50% of the sea cucumber biomass. These by-products are rich sources of proteins, vitamins, minerals, and biologically active compounds that may benefit overall health. Therefore, the proposed project will develop nutritional supplements (powder and liquid extract) from sea cucumber viscera. This study will allow the full utilization of C. frondosa and improves the environmental performance of the sea cucumber industries through the utilization of sea cucumber discards.

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Faculty Supervisor:

Deepika Dave

Student:

Abul Hossain

Partner:

Springboard Atlantic

Discipline:

Biochemistry / Molecular biology

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Development of Decision Support System for Dynamic positioning Control of Vessel

Current work presents an overall framework for control and monitoring of dynamic position of vessel in the offshore facilities. In the core of the framework a control system will be used to keep vessel in desired position and an estimator to estimate ice, wind speed etc. Outer layer of the framework presents a monitoring system that alert the operator when vessel moves away from safe operation zone. All the results of the framework will be presented in a graphical user interface. The graphical user interface will give a complete overview of the position control and monitoring state. Through the project, the partner organization are introducing the new idea and industrial practices to the broader community.

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Faculty Supervisor:

Syed Imtiaz

Student:

Mohammad Aminul Islam Khan

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Advance WAAM for hybrid manufacturing and additive repair purposes

Nowadays, the need for newer, more flexible, and efficient production methods is higher than ever. As a disruptive manufacturing technology, powder-based additive manufacturing (AM) systems are best suited for the fabrication of complex but small components. The limited enclosed working envelope of the powder-based AM processes, along with their low deposition rate, hinder their capabilities in the fabrication of large-scale parts. The mission of the proposed project is to realize the full potential of the state-of-the-art wire arc additive manufacturing (WAAM) technology for hybrid manufacturing and additive repair of metallic components. Owing to its significantly high deposition rate (3-8 kg/h), substantial reduction in the fabrication time, and an unlimited build envelope, WAAM technology has the potential to be one of the most significant manufacturing innovations in many industries. However, the industrial evolution and adoption of this technology are currently limited due to the current lack of a commercially available robotic WAAM platform. The proposed research program will contribute critical knowledge related to the advancement of the process in fabrication of dissimilar metal components from special grade of stainless steels.

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Faculty Supervisor:

Ali Nasiri

Student:

Mehran Rafieazad

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Porous polymeric extraction devices for fast, convenient, and portable monitoring of organic contaminants in marine environments

Organic contaminants enter the marine environment through atmospheric transport, runoff into waterways, or directed disposal into the ocean. They are prone to long-range, bioaccumulation and can have adverse effects on human health and the environment. In this project, a simple and convenient extraction device developed for analysis of organic pollutants will be examined for various types of environmental monitoring such as active and passive sampling. Our proof-of-concept studies have shown the that these devices provide simple, high throughput, reliable and green analyses. However, there is a need to validate the devices for on-site purposes, which will be performed during this project.

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Faculty Supervisor:

Christina Bottaro

Student:

Fereshteh Shahhoseini

Partner:

Springboard Atlantic

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Wind Powered Heat Generator

Imagine a freezingly cold winter day with the strong wind blowing outside your house somewhere in Newfoundland, and you are comfortably sitting in your room with heating and warm water – even during a power outage! This could be realized with a novel device that directly converts the wind energy to heat. This project aims to develop such a technology. The kinetic energy from the rotational motion of a small wind turbine is converted to thermal energy through fluid agitation and friction in a unique heat generator with specially designed rotating blades, baffles, and working fluid.

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Faculty Supervisor:

Xili Duan

Student:

Muhammad Haseeb Javed

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Marine Oil Spill Tacklers

A swarm of robots should be available on the board of a vessel or oil rig so they will be deployed when spill occurs. Based on our existing know-how knowledge and technology, the swarm of robots automatically detect the boundary of the oil, then they deploy inflatable booms to contain the oil. After they successfully contain the spill by detecting whether or not the booms achieve a close loop, the swarm continues to expand its searching area until it could not find any new spill.

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Faculty Supervisor:

Trung Dung Ngo

Student:

Truong Nguyen Thanh Nhu

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

Image segmentation of foliage and man-made objects in aerial RGB images

Unmanned Aerial Vehicle (UAV) technology has advanced significantly in recent years. With the aerial data, analysis provides solutions to government agencies and industries, including the energy and forestry sectors, as well as urban/rural planning. Among the many aerial data modalities, RGB images play an important role in the analytics process. Our research problem involves segmenting aerial RGB images composed of natural and man-made objects into two categories in real-time as the data, i.e., video frames, are collected. We will begin with an investigation of a combination of state-of-the-art computer vision and machine learning methods that work in real-time. This includes discovering training features and determining the correct method for training the model to achieve the best results. Another important objective is to develop a strategy which does not rely on a large training dataset. Improving the model’s accuracy and time performance will be the final focus of the project.

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Faculty Supervisor:

Irene Cheng

Student:

Jilin Liang

Partner:

AERIUM Analytics

Discipline:

Computer science

Sector:

University:

University of Alberta

Program:

Accelerate

Supporting Evidence-Informed Practice and Policy Making in the British Columbia Community-Based Paediatric Rehabilitation Sector

Community- based Physiotherapy, Occupational Therapy, and Speech Therapy for children and youth with support needs is delivered by non-profit agencies across BC that do not have access to resources and supports to ensure they are providing evidence-based practice. This research project will help the partner organization, BCACDI, understand how it can implement a system to effectively support these agencies. It will also develop a policy brief that will strengthen BCACDI’s ability to advocate for policy changes in the sector to support the evidence-based CO -OP model of supporting children and youth with Developmental Coordination Disorder. Ultimately, this project will result in improved delivery of services to children and youth with support needs in BC, and more cost-effective utilization of resources.

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Faculty Supervisor:

Jill Zwicker

Student:

Sara Izadi-Najafabadi

Partner:

BC Association for Child Development and Intervention

Discipline:

Medicine

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Intelligent Orchards: Redefining the Production and Management of Tree Fruits

One of the main challenges in tree fruit orchards is to accurately predict apple yield and identify the health of individual trees (e.g., healthy foliage, fruit development, detecting and identifying diseased trees). Manual performance of these tasks is labour intensive and costly. Therefore, automated processes provide novel solutions with enhanced accuracy, efficiency, and productivity. The proposed solution is to develop an automated system that utilizes machine vision and artificial intelligence strategies to accurately count flower blooms and apples, detect and identify diseased fruit and trees, and improve yield estimates for producers. Automating this process will reduce labour costs and improve apple yields for producers. The system will provide truly meaningful and easy-to-digest information to the farmer about the orchard, including the predicted productivity, suggested trimming, and possible growing issues (such as unhealthy trees or areas that require more attention).

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Faculty Supervisor:

Andrew Gadsden;Mohammad Biglarbegian;John Cline

Student:

Joseph Lee

Partner:

Dr. Robot Inc.

Discipline:

Engineering

Sector:

University:

University of Guelph

Program:

Accelerate

Electricity Trade with Quebec to Integrate Renewable Energy in Ontario: An Integrated Investment Appraisal Analysis

This research effort will measure the impacts on Ontario’s electricity sector of an increased level of imports from Quebec and its reliability to balance the renewable electricity generation facilities in Ontario. For this analysis, the historical operating information from both Quebec and Ontario’s electricity systems will be used. A comprehensive analysis will be carried out to identify the critical parameters that determine the economic feasibility of this option. A model will be developed for the appraisal of electricity trade between Quebec and Ontario. The model will identify the conditions when it is both an efficient method for energy security and a cost-effective way of stabilizing the electricity system. Alternative interventions will be evaluated to mitigate the variability of electricity generation by renewable electricity sources.

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Faculty Supervisor:

Frank Milne

Student:

Pejman Bahramian

Partner:

Discipline:

Economics

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Enabling next generation cardiac therapeutics with genetic engineering and novel in vivo models for cardiomyocyte transplantation – Year two

The development of cellular therapeutics is acutely dependent on the ability to evaluate the functional characteristics of the cells in predictive animal models. This forms the basis of key pre-clinical data packages that are key for regulatory submissions preceding human clinical trials. The development of appropriate model systems, the execution of the surgical techniques to deliver cells to the target tissue, and the techniques to functionally analyze these cells in situ are technically challenging. Michael Laflamme’s laboratory is focussed on the development of protocols for making and testing human stem cell derived cardiomyocytes in animal models and is the world leader in this field. BlueRock Therapeutics (BRT) is actively developing a clinical and commercial pipeline of cell therapies for cardiac indications. This proposal bridges development work being done in the Laflamme lab and at BRT. The data that will be generated in the project will be instrumental in shaping BRT’s development pipeline. Further, the project will provide Wahiba, the proposed trainee, with an opportunity to work with BRT staff to propose a business case and implementation plan for the internalization of this highly specialized skill set within the company.

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Faculty Supervisor:

Michael Alan Laflamme

Student:

Wahiba Dhahri

Partner:

BlueRock Therapeutics ULC

Discipline:

Other

Sector:

Other

University:

University of Toronto

Program:

Elevate

Effectiveness of an electronic technique and adherence monitoring device on the clinical outcomes of patients with asthma: an exploratory pilot randomized controlled trial

Mobile health (mHealth) strategies hold a great promise to enhance treatment outcomes while mitigating health care costs. It allows health care providers to tailor treatments to each individual based on their lifestyle. The primary objective of this project is to assess the effectiveness of the BreatheSuite Metered Dose Inhaler device in improving the technique and adherence of inhaled medications among children with asthma.

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Faculty Supervisor:

Gerald Mugford

Student:

Meshari F Alwashmi

Partner:

BreatheSuite

Discipline:

Medicine

Sector:

Other

University:

Memorial University of Newfoundland

Program:

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