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

Indoor Virtual Tour and Virtual Object Display in 360 Degrees

The proposed project implements the applications of virtual view of indoor environments and objects in 360 degrees, thereby encouraging people to check the information of rooms and products online during the COVID-19 pandemic. Specifically, six objectives are proposed, each undertaken by two interns, to build a virtual view system satisfying different scenarios. With collected indoor pictures and product pictures, image-rendering and machine learning technologies, including OpenCV, Tour Into the Picture (TIP), and Unity engine, will be employed to create an interactive virtual tour system that allows user to see virtual views of indoor environments for buying a house or a product online. Completion of this project will yield both commercial and technological benefits for the partner organization, as they control the distribution and access of the proprietary technology of an online interactive virtual tour system.

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Faculty Supervisor:

Di Niu;Linglong Kong

Student:

Jerry Chen;Shengyao Lu;Shan Lu;Enze Shi;Ce Zhang;Aref Sadeghi

Partner:

Trendii Technology LTD

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Assessing cumulative hydrological impacts from forest disturbance and climate change in Duteau Creek community watershed

There are growing concerns over the cumulative hydrological effects of forest disturbance on hydrology in the Duteau Creek community watershed. The objectives of this proposed study are: 1) to calibrate and validate the hydrological model SWAT; 2) to assess the cumulative hydrological effects of proposed forest harvesting under future climate change impacts; and 3) to evaluate possible hydrological impacts of spatial arrangements (or patterns) of forest disturbance or harvesting. Answering these questions would provide important and timely results to support local decision makers to manage cumulative hydrological impacts under an increasing human demand and climate change context. A hydrological model (SWAT) is mainly proposed to conduct this research. While SWAT is a popular hydrological model widely used in many watersheds, its applications on cumulative hydrological effects caused by forest disturbance and landscape patterns is rare, which is a key innovation of this proposal.

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Faculty Supervisor:

Xiaohua (Adam) Wei;P. Jefferson Curtis

Student:

Ming Qiu

Partner:

Regional District of North Okanagan

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of British Columbia Okanagan

Program:

Accelerate

Technology Innovations to Improve Patient Outcomes After Spinal Cord Injury

Spinal cord injury (SCI) results in severe paralysis, for which there are no effective treatments. Advanced technologies, however, can play an important role in assisting in the diagnosis, monitoring, and treatment of SCI patients who suffer many impairments beyond the loss of voluntary muscle control. In this proposal, we will develop and apply innovative technologies for SCI. We will develop a novel biosensor for the injured cord to inform doctors how to best support its healing in the early stages of injury. We will also develop a bladder pressure sensor to help patients and doctors detect when bladder pressures rise unknowingly. And we will utilize imaging technologies and drug infusion technologies to better understand and potentially treat SCI. The partnership between scientific research and clinical medicine makes this proposal uniquely suited to develop such technologies to help SCI patients.

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Faculty Supervisor:

Brian Kwon

Student:

Farnaz Sahragard;Katharina Raschdorf;Shahbaz Askari;Cameron Gee;Adam Doelman;Sigrun Jarlsdottir;Toluyemi Adefolarin Malomo;Aysha Allard Brown

Partner:

Vancouver General Hospital

Discipline:

Engineering - computer / electrical

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Machine Learning Aided Self-Estimation of Device Position in Cellular IoT Networks

The research program in this project aims at advancing the use of cellular communications for Internet-of-Things applications. The academic researchers and the partner organization have identified three work items that revolve around the self-estimation of cellular IoT devices (1) to improve energy and spectrum efficient transmission of short and intermittent data packets, (2) to enable cellular non-terrestrial communication with low-cost devices, and (3) to help realize tracking applications that can benefit from device-to-device communication. The research is closely aligned with IoT use cases supported through IoT connectivity solutions and cloud-based services by the partner organization and with ongoing standardization efforts for 5G cellular communication technology.

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Faculty Supervisor:

Lutz Lampe

Student:

Gautham Prasad;Vishnu Rajendran Chandrika

Partner:

Sierra Wireless

Discipline:

Engineering - computer / electrical

Sector:

University:

University of British Columbia

Program:

Accelerate

Design and simulation of an automated robotic solution for the installation of Mechanical, electrical, and plumbing components in wood-framed walls

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale solution for the installation of MEP components in mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in offsite construction facilities. For this, we plan on researching two key areas: 1) how to transfer the necessary information from BIM models (most popular software platform for building design and development) to robotic programming environments; and 2) design the necessary robotic cells, tools, and support systems to create a fully operational production line in a simulated environment. With both outputs, this research will provide a clear understanding of the capacity of robotic systems for mass timber building construction, as well as showcasing the advantages of flexible robotic systems compared to current automated solutions.

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Faculty Supervisor:

Rafiq Ahmad

Student:

Emanuel Martinez;Yufan Zheng;Pablo Martinez;Shahin Zareie

Partner:

Deformance

Discipline:

Engineering

Sector:

University:

University of Alberta

Program:

Accelerate

Characterization of insoluble minerals in the conventional potash mines of Saskatchewan: Implications for the origin and paragenesis of the Prairie Evaporite Formation

Potash, a group of potassium bearing minerals, is an essential crop nutrient. The use of potash-based fertilizers increases crop yields while making plants more resistant to extreme climate and disease. It is essential to meeting the food needs of the growing human population. Canada-based Nutrien Ltd. extracts potash from underground mines across Saskatchewan and is the largest producer in the world. The potash deposits Nutrien mines formed in a vast salty sea that stretched across western Canada 385 million years ago. Nowhere do analogous potash deposits form on the planet today. Understanding their origin requires detailed description of the potash rocks, which are found deep beneath the Canadian prairies. This project will conduct high-resolution sampling within Nutrien’s mines followed by high-precision analytical work to further characterize and understand their origin. The results will ensure Nutrien is able to continue efficiently mining Saskatchewan’s potash, which is among the highest quality on the planet.

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Faculty Supervisor:

Peir Pufahl;Lee Groat;Danielle Faris

Student:

Edward James Matheson;Eric Tessier

Partner:

Nutrien

Discipline:

Engineering

Sector:

University:

Program:

Accelerate

Aeration design and bioreactor optimization for nutrient recycling systems

This research project will look to help Cultivated Ecosystems Ltd. redesign their current reactor that they use for generating organic nutrients and beneficial micro-organisms to enable them to produce the quantities needed on a regular basis for commercialization. It will look at how these micro-organisms grow under different conditions and create new equipment that will ensure the products formed are beneficial for plants and soils. By creating new ways of mixing the reactor contents and keeping oxygen levels high during operation, the outcome of this work will result in a way of growing these micro-organisms that is unique to Cultivated Ecosystems Ltd, offering a competitive advantage as they look to scale up and commercialize this technology more broadly.

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Faculty Supervisor:

Adam Donaldson;Clifton Johnston

Student:

Rafael Amarante

Partner:

Cultivated Eco Systems

Discipline:

Engineering

Sector:

Other

University:

Dalhousie University

Program:

Accelerate

Textile Embedded Vital Health Signs Monitor

The goal in medicine is prolong life and prevent disease before it spreads and becomes irreversible. There must be a way to easily self-monitor or to allow medical professionals to continuously remotely monitor high risk patients. The main vital signs that ideally should be constantly evaluated are pulse rate, respiration rate, body temperature, oxygen saturation levels and blood pressure. Other secondary figures that should be watched over are glucose levels, cholesterol levels among others. With our technology, patients’ vital health signs will be monitored remotely, cutting a considerable portion of costs from in-person medical examinations and monitoring and thus bring about a disruptive technology to the biomedical testing and diagnostics sector. Besides, these devices allow health care personnel to control important physiological symptoms of their patients, evaluate them in real-time, and provide appropriate treatment conditions.

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Faculty Supervisor:

Ghada Koleilat

Student:

Alireza Ghasemi Ghodrat

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Reducing Training Data Requirements with Cognitive Cues

The aim of this project is to allow for Deep Learning approaches utilized by Eye For Infrastructure to rely less heavily on labelled training data as well as to produce more human-understandable and actionable results. The improved system would allow for a seamless integration with municipalities for automated infrastructure assessment.

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Faculty Supervisor:

John Zelek;Alexander Wong

Student:

David Abou Chacra

Partner:

Eye For Infrastructure Inc.

Discipline:

Engineering

Sector:

Other

University:

University of Waterloo

Program:

Development of alternative technologies to assess muscle functionality

Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, the most used diagnostic measure for accessing muscle atrophy and recovery is physical examination for patients with a certain mobility status. In the case of bedridden patients, the methods for identify muscle atrophy are invasive and expensive, such as MRI or muscle biopsy. In consequence of this, muscle loss evaluations of bedridden patients are rarely performed. Therefore, the development of an early detection, non-invasive diagnostic tool will benefit patient recovery and improve preventive measures. Consequently, this project will promote research and development besides creating innovative technologies that can be used for the benefit of our community.

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Faculty Supervisor:

James Fawcett

Student:

Rafaela Andrade-Vieira

Partner:

Springboard Atlantic

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Modeling pipeline-soil interaction in dense sand using nonlocal Mohr-Coulomb model in a Coupled Eulerian-Lagrangian finite-element code

Pipelines are extremely important for the transportation of oil and gas. Buried pipelines can move in a relatively large distance under special scenarios, e.g. slope failure. Meanwhile, the surrounding soils are subjected to a large deformation. This project aims to develop a computer modeling technique to analyze the large-deformation behavior of soil and its impact on the pipeline. The result will be compared with a previous physical test so that the reliability of this new technique can be evaluated. By using this technique, the reaction load on the pipeline can be calculated, thus providing an input for the design of pipeline.

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Faculty Supervisor:

Bipul Hawlader

Student:

Jin Chen

Partner:

Springboard Atlantic

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Enzyme-like nanoparticles for preventing lipid oxidation: implications for increasing asphalt lifetime

In Ontario, 95% of its paved roads in the province are paved with asphalt or asphalt surface treated. Due to severe weather conditions, the lifetime of asphalt roads is relatively short and regular maintenance is required. The annual cost of maintenance is estimated to be around 2.14 billion dollars. This project aims to explore nanotechnology to increase the lifetime of asphalt roads by exploring nanomaterials with anti-oxidation activities. Liposomes will be used as a model system for the initial studies and asphalt doped liposomes and finally asphalt will be tested. The partner organization will benefit from this project by learning the effect of some representative nanomaterials for asphalt improvement, which has an enormous potential economic benefit.

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Faculty Supervisor:

Juewen Liu

Student:

Yuzhe Ding

Partner:

Gryfund Capital

Discipline:

Chemistry

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

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