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

Development of the Social Acoustic Metrics for Aircraft Noise Annoyance to Facilitate the Management of Community Expectations

The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with community noise annoyance. Part of the research will involve the development of a model using different metrics (including noise, social and psychological criteria) which can be used to predict and measure community annoyance to aircraft noise. Using this model, the development of a community outreach and education program which addresses the specific outcomes of the above investigation will be delivered. A comprehensive report of the findings of the research will be prepared. TO BE CONT’D

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Faculty Supervisor:

Colin Novak

Student:

Yue Wu

Partner:

Greater Toronto Airports Authority

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Point Cloud processing for Smart Iceberg Management System

Newfoundland oil and gas industry needs unique engineering solutions for offshore structures and operations because of harsh environment. Drifting icebergs, if collide with an offshore structure, may cause serious damage leading to economic losses, ecological problems and loss of human lives. To protect the structure, icebergs can be towed away; however, it is a complicated process, especially when the underwater part of iceberg is hidden. This project contributes to a new technology that can be used onboard of towing vessels to assist captains when taking their decisions regarding towing. The Smart Iceberg Management System is able to obtain full iceberg shape in only 20 minutes, helping to decide where and how to tow. This should significantly improve success rates, safety and cost-effectiveness of the complicated towing operations.

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Faculty Supervisor:

Rocky Taylor

Student:

Renat Yulmetov

Partner:

C-CORE

Discipline:

Engineering - mechanical

Sector:

Oil and gas

University:

Program:

Accelerate

A Device for the Effective Use of Composted Chicken Manure in Hydroponics Systems

Innovative agricultural methods may be able to provide affordable food and vegetables in Canada’s North. In support of this, Choice North Farms has partnered with PolarPonics to develop a ‘PoultryPonics’ facility that will reduce production costs by integrating chicken and hydroponic production with an automated composting system. To effectively do this, they will require optimal methodologies for composting chicken manure which will need a high-precision, high-frequency sampling device to measure the nutrient content of the manure solutions that are produced. Peter Tikasz at McGill University has performed preliminary work on composting manure and on the development of device composed of Ion Selective Electrodes (ISEs) to measure the quality of the manure solutions. Peter will continue this work in conjunction with northern agricultural partners which will lead to the development of a northern-tested prototype device that will have applicability for any horticultural operation that utilizes manure-based compost.

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Faculty Supervisor:

Mark Lefsrud

Student:

Peter Tikasz

Partner:

Choice North Farms

Discipline:

Engineering

Sector:

Forestry

University:

Program:

Accelerate

Knowledge mobilization: Local community engagement, sustainability and adaptive governance

Knowledge mobilization is a complex process aimed at generating and disseminating information and expertise. It relates to decision-making in a complex and uncertain environment and requires the development of multiple networks to integrate different institutions and steer their resources. Managing such dynamic social-ecological networks can be addressed as a matter of adaptive governance which integrates the processes of generating multi-level social learning and preserving community heritage. The research theoretical framework is based on the concepts of local knowledge mobilization and social learning. Ecomuseums can be considered as an integral part of community governance and a bridging organization that responds to local needs while mobilizing and disseminating community knowledge and contributing to sustainable development.
My aim is to focus on local knowledge mobilization and the role of ecomuseums in adaptive community governance. TO BE CONT’D

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Faculty Supervisor:

Amber Fletcher

Student:

Anna Lozhkina

Partner:

Friends of the Royal Saskatchewan Museum

Discipline:

Sociology

Sector:

Environmental industry

University:

Program:

Accelerate

A nanostructured surface for ultrasensitive detection of illicit drugs in oral fluids

Drug-impaired driving is a growing threat to the safety of road users in North America and Europe. In Ontario, over 10% of the total road fatalities involved drugs and 36% of fatally injured drivers had drugs in their system while driving. Point-of-care testing (POCT) devices, akin to the Approved Screening Device (ASD) test for alcohol, are time- and cost-efficient tools for providing enforceable means of determining impairment by drugs in drivers at the roadside. The goal of this project is to develop a nanostructured surface that can be used as a drug sensor in a novel POCT device that will “sniff out” trace quantities of drugs, such as cannabis and cocaine, in oral fluids. Our partnership with Spectra Plasmonics with support the research work of a Master’s student who will adapt to this task a nanostructured surface that was recently invented by our research group.

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Faculty Supervisor:

Aristides Docoslis

Student:

Nicholas Wilson

Partner:

Spectra Plasmonics Inc

Discipline:

Engineering - chemical / biological

Sector:

Nanotechnologies

University:

Program:

Accelerate

Model-Aided Performance Analysis from System Traces

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand performance issues, and to maintain or improve performance as the system evolves.

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Faculty Supervisor:

Murray Woodside

Student:

Shieryn Tjandra

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Pairing of Machine-Learning Systems with Algorithmic Trading Strategies

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in developing and implementing proprietary machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning model is best with which trading algorithm variant. By creating a genealogy (multi-dimensional Taxonomy) of pairs of machine learning model with trading algorithm variants, our research’s objective is to determine the means of improving or innovating machine learning systems for optimal performance of differing algorithmic trading strategies; this will provide a foundation for long term research into machine learning mathematics R&D.

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Faculty Supervisor:

Michael Friedlander

Student:

Bao Sun

Partner:

EquitySoft Investments Valuations Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Effects of a probiotic product from Lallemand Inc. on growth performance and intestinal morphology of chickens raised under suboptimal conditions

According to the Agriculture and Agri-Food Canada, Canada produced 1.2 billion kilograms of chicken with chicken products worth $2.5 billion. Domestic consumption of chicken in 2016 was 32.5 kilograms per person. Canada exported over 5.3 million chicks worth over $13.4 million, mainly to the United States. That same year, 134.1 million kilograms of chicken meat and edible bi-products, worth $453.1 million, was exported to 60 countries, with the largest importers being the United States and Philippines. In order to maintain the healthy development of the industry, Canada’s chicken farmers continue to evolve their production practices in response to consumer preferences. The industry has developed strategies for antibiotic usage on the farm for reduction, surveillance, stewardship and research and innovation. After elimination of Category I antibiotics throughout the chicken sector in 2014, Chicken Farmers of Canada announced in 2017 that the chicken sector would be eliminating the preventative use of Category II antibiotics by the end of 2018. To maintain chicken’s health, probiotics are one of the alternatives to antibiotics. This proposed project will promoter the Canadian company to develop a product for Canadian poultry industry.

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Faculty Supervisor:

Xin Zhao

Student:

Muhammad Bilal

Partner:

Lallemand Health Solutions

Discipline:

Animal science

Sector:

Forestry

University:

Program:

Accelerate

Prediction models for pain volatility and engagement patterns of mobile pain app users

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the benefits of the app use on its 27,000 and constantly growing user base by identifying user cohorts that ultimately experience improvement in pain experience given self-disclosure tracking behaviours. We plan to develop scientific methods that will help predict the change in pain ratings, i.e., pain volatility of the app users over time. We also aim to predict the level of user engagement in future based on the current usage behavior and users’ profile information such as gender and age. Through this research, Manage My Pain platform will have analytic capabilities that will enable targeted product development, drive retention and engagement for chronic pain patients.

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Faculty Supervisor:

Jane Heffernan

Student:

Quazi Abidur Rahman

Partner:

ManagingLife

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program:

Accelerate

Process Improvement for Plasma Transfer Arc Additive Manufacturing

Metal additive manufacturing (MAM) is newly developed manufacturing technology that is faster and more cost-effective compared to traditional methods. Although there are various types for AM, the product quality improvement in plasma transfer arc (PTA) and wire-feed AM processes will be the subject of this project. To achieve this goal, the intern will determine the key parameters of the existing PTA2M and wire-feed machines in InnoTech and then will select appropriate measuring technologies to obtain data from these AM processes. Then, the intern will develop a model for both processes based on either first-principles or system identification strategies. In order to improve the products’ quality, he will develop a process model to estimate the unmeasurable variables and then designs a closed-loop controller. The controller will be designed based on the model and then will be implemented for the actual systems in InnoTech. TO BE CONT’D

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Faculty Supervisor:

Ahmed Qureshi

Student:

Mohammad Rashedi

Partner:

InnoTech Alberta Inc

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Long-Term Prevention of Catheter Infections using Chemical Coatings

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, from growing. This will initially involve in vitro testing using a flow-through model to simulate blood flow, monitoring first static and then dynamic microbe growth using fluorescence microscopy. In vivo testing will follow using rats as a preclinical model.

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Faculty Supervisor:

Benjamin Hatton

Student:

Michael Morozov

Partner:

Econous Systems Inc

Discipline:

Engineering

Sector:

Life sciences

University:

Program:

Accelerate

Human kinematic optimal control learning and wearable inertial measurement unit alignment for rehabilitation

Physiotherapy is a type of rehabilitation that aims to restore a patient’s quality of life after an injury, surgery, or stroke by improving their mobility. Through prescribed exercises and specialized equipment, physiotherapy helps the patient to regain their muscle strength, range of motion, and natural movement. Unfortunately, only rudimentary tools are available to the therapists for assessment and monitoring of patients. Our work focuses on developing wearable technologies that can help therapists with patient assessment and progress tracking. The proposed research will utilize the sensor data to learn a motion model for a patient. The learned motion model can be used to compare the patient’s performance to that of a healthy individual and to provide objective progress measures over long rehabilitation periods.

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Faculty Supervisor:

Dana Kulic

Student:

Vladimir Joukov

Partner:

Cardon Rehabilitation and Medical Equipment

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

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