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

An Evaluation of the Reliability of Forensic Case Formulation in the Risk Assessment of Intimate Partner Violence

Intimate partner violence (IPV), also known as spousal assault and domestic violence, is the most common form of violence experienced by women worldwide. Fortunately, IPV risk assessment tools, training, and practices have improved immensely over the last 20 years. One of the areas that can still be improved is training those using violence risk assessments for evaluations to better understand the root causes of violence at the individual level. The process of determining root causes of violence is an advanced skill now considered necessary for the comprehensive assessment of violence risk and determining risk management strategies. This study will develop and test a training program to improve aspects of risk assessment training and increase the utility of the training process. Improving the training around the root causes of violence within risk assessment is one of the last frontiers to improving risk assessment practices and training and ultimately reducing the incidence of IPV.

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Faculty Supervisor:

Jodi Viljoen

Student:

Tara Ryan

Partner:

Protect International Risk and Safety Services, Inc.

Discipline:

Psychology

Sector:

Other

University:

Simon Fraser University

Program:

Accelerate

Characterization of Active Ingredient in Buckwheat – Part 2

Buckwheat contains an active ingredient that lowers blood glucose in diabetic rats. The active ingredient is not a known compound such as chiro-inositol or rutin. The goal of this project is to characterize the bioactive compounds in buckwheat fractions obtained by countercurrent chromatography (CCC) and having biological activity. This is important for setting the foundation to 1) monitor the levels of the active ingredient in buckwheat (as affected by variety, growing conditions and season), 2) determine how levels of active ingredient are affected by processing, 3) standardize the amount of active ingredient in functional food products and thus meet Health Canada requirements, and 4) provide a screening tool for further enhancement of buckwheat varieties by plant breeding.

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Faculty Supervisor:

Harold Aukema

Student:

Shokoufeh Ahmadi

Partner:

Prairie Skyline Ventures Ltd

Discipline:

Food science

Sector:

Agriculture

University:

University of Manitoba

Program:

Accelerate

Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft

On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller. This requires control law design that takes into account the flexible dynamics. On the other hand, recent developments on feedback linearization by means of Incremental Nonlinear Dynamics Inversion (INDI) allow considering the design of generic control laws that can be applied to several aircraft with a minimum effort of adaptation and tuning. Bombardier developed linear and nonlinear civil transport aircraft dynamics models that take into account the flexible dynamics. Bombardier also developed a prototype INDI-based CLaws with promising results demonstrated on a rigid aircraft model. This project aims to improve this prototype CLaws so that it can also manage the aircraft flexible dynamics. Based on literature review and previous Bombardier researches, the student will conduct a conceptual design of these enhanced INDI-based CLaws functions and will validate the proposed solution by simulation using Bombardier high fidelity simulator and performance assessment tools.

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Faculty Supervisor:

David Saussié

Student:

Fréderick Laliberté

Partner:

Bombardier Inc.

Discipline:

Engineering - computer / electrical

Sector:

Aerospace and defense

University:

École Polytechnique de Montréal

Program:

Accelerate

Going On-line with Cognitive Rehabilitation: Testing and Implementing Web-based Goal Management Training at Clinical and Commercial Levels

Goal Management Training® (GMT) is a Baycrest cognitive intervention that has been studied extensively, applied clinically, and manualized into kits for clinicians that have been commercially available since 2012. GMT targets executive functions, a collection of higher-level abilities involved in planning, organization, strategy, and inhibition. Executive impairment can be seen in normal aging as well as in numerous neurological conditions, including dementia and traumatic brain injury (TBI). GMT is the gold-standard treatment for executive impairment worldwide. As part of further commercialization and dissemination efforts, the in-person GMT protocol has recently been translated into a web-based platform.
This project will test online GMT in groups of individuals experiencing executive impairment, including healthy aging and subjective cognitive impairment, and TBI. GMT will be deployed in real-world clinical practice to further refine the implementation protocols. We will also test the program’s commercial viability, which will be required for broad dissemination, and develop a plan to explore long-term health system-level impacts of this innovation/solution.
There is currently no widely accepted and researched online resource for people with executive impairment. The proposed research will leverage expertise of Cogniciti to fill that gap, reinforcing a partnership to provide Cogniciti clients with evidence-based cognitive training.

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Faculty Supervisor:

Brian Levine

Student:

Lynn Zhu

Partner:

Cogniciti

Discipline:

Psychology

Sector:

Medical devices

University:

Program:

Elevate

Online Business Model Prediction Service

In the business, it is critical to understand and predict needs of customers in advance and in precision. Machine Learning and Artificial Intelligence make it possible to extract the desirable properties and predict the objective in the future. This project is interested in the implementation of this concept as a toolbox. The toolbox will consider Online Business Model Prediction Service (OBMPS) as the objective to create an environment to drive smart decisions. By making the more accurate recommendations, alert of competitor, pockets of opportunities and frequent item mining with the business-based data, the company and the clients, all will benefit from the provided insight into businesses which consequently increases the sales, as well as the profit.
To implement the Online Business Model Prediction Service, we will take advantage of the Machine Learning, Artificial Intelligence, Data Integration and Data mining tactics to build up the state-of-the-art system to provide the most useful result into first hand business companies as well as their clients.

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Faculty Supervisor:

Gosta Grahne

Student:

Ali Moallemi

Partner:

Quotient

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Exploring predictive analysis models to improve online sales performance

Faire Child Makewear Limited (“Faire Child”) is a Nova Scotia start-up company created to design and market a line of fashionable and sustainable children’s outerwear. Faire Child developed an opertalization plan in collaboration with an outside consultant in December 2017. Despite having executed the plan as designed, the activities that were undertaken did not result in sales, and the click-through rates, though impressive, are not converting to sales. In addition, FaireChild has just acquired all of the manufacturing equipment needed to begin manufacturing themselves. With these facts in mind, the overall objective of this project is to create and validate a plan to improve conversion rates through business model innovation, and investigate the best-practices engagement models of B to B sales in the luxury children’s wearable markets. TO BE CONT’D

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Faculty Supervisor:

David Roach

Student:

Stacey Taylor

Partner:

Faire Child

Discipline:

Business

Sector:

Manufacturing

University:

Program:

Accelerate

Application of advance signal and image processing to develop objective diagnostic and monitoring technologies as well as predicting the response to treatment for Alzheimer’s disease

An ongoing study in Winnipeg is investigating the possibility of using repetitive transcranial magnetic stimulation to help treat the cognitive and memory declines in Alzheimer’s disease. The objective of this project is to analyze in detail the current results of this study. We will look for connections between MRI scans of the participants and their response to the treatment. We will also look at anxiety and resting motor threshold (a measure of how sensitive they are to our treatment device), to see how they change the effectiveness of treatment. We will also look in detail at all of the additional measurements we performed as part of the study to see if any unexpected results can be found. Finally, we will look for changes in brain activity as measured using electrical signals from the balance organs in the ear.

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Faculty Supervisor:

Zahra Kazem-Moussavi

Student:

Grant Rutherford

Partner:

Riverview Health Centre Foundation

Discipline:

Engineering - biomedical

Sector:

Life sciences

University:

Program:

Accelerate

THC and CBD ratios in cannabis grown in hydroponic or aquaponic systems

A new era has dawned in the world of cannabis research. After becoming only, the second country in the world to legalize cannabis Canada is now in an ideal position to establish cross country research programs into the world of cannabinoids. The cannabis plant is a cornucopia of chemicals with a very wide range of effects and possible medicinal uses. It is thus essential that peer reviewed research is established to study cannabis. This research project will explore the three most popular methods of growing cannabis (soil, hydroponic, aquaponic) and identify if there are any significant differences in the chemistry of the plants produced by each method. This information will be essential to cultivators, cannabis researchers and medical personnel who have a claim in our growing cannabis industry. The deliverables of our proposed research will inform cannabis cultivators of the best methods for cannabis growth and achieving optimal THC:CBD ratios.

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Faculty Supervisor:

Russell Easy

Student:

Krystal Orbitsch

Partner:

Aqualitas Incorporated

Discipline:

Biology

Sector:

Agriculture

University:

Program:

Accelerate

Investigation of a fully biocompatible bio-electrolytic supercapacitor system

The concept of incorporating bio-product based electrolytes in the design of supercapacitors is recent and novel. To use a bio-molecule to harvest and harness energy is one of the most breakthrough technologies of our current age. The thrust towards wearable technologies and Internet of Things (IOT) applications have created an emerging market for environmentally friendly flexible energy storage device. Most of the existing small-scale energy storage technologies use rare and non-sustainable materials such as Lithium and solid-phase metal electrolytes which make the manufacturing process non-sustainable and less environment friendly.
To address this challenge, we propose to create an energy storage solution using bio-based materials in the form of a flexible bio-electrolytic supercapacitor (BSC) system. This system will be designed using low-cost additive manufacturing techniques, utilizing environment friendly materials and sustainable bio-products. An integrated BSC system will be demonstrated as a stable, cleantech power storage solution for wearables and IOT devices.

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Faculty Supervisor:

Ravi Prakash

Student:

Rana Amache

Partner:

Mishkumi Technologies Inc.

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Accelerate

Developing Smart Price Forecasting Service for Supply Chain Procurement of Agri-fresh Produce Using Machine Learning

Loblaw Companies Limited (LCL) supplies all fresh produce (FP) to South Western Ontario stores from Waterloo Distribution Center (DC). DC decides prices and quantities to meet FP demand. Timed fair priced orders minimize waste, bring prosperity to growers, consumers and FP trades. Factors affecting prices are highly uncertain due to environmental and socio-economic effects such as income, labor, trade, globalization and climate change which makes price prediction challenging. Immediate produce past prices are used to predict future prices in univariant models, other multivariant models consider price most influential factors as input attributes to predict future prices. Machine learning models deployed for price forecasting can currently be outperformed by univariant models. In this project multivariant Machine learning models finetuned by deploying online learning are tested against mathematical univariant models and their effectiveness is assessed using accuracy measures; micro cent improvement in each transaction save hundreds of millions of dollars for Canada.

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Faculty Supervisor:

Fakhri Karray

Student:

Lobna Nassar

Partner:

Loblaw Company Limited

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Prioritizing salmonid connectivity through the removal of barriers in a highly urbanized landscape

Systematic conservation planning tools allow us to use data on species distributions, habitat quality, and cost to and identify optimal areas to invest conservation and restoration resources. These tools can be particularly helpful in highly contested biodiverse landscapes where pressures from growing populations and economic development compete with conservation objectives. The Lower Fraser River represents an ideal location for the application of systematic conservation planning, it is home to Canada’s third largest population centre, and acts as the conduit for 56 Federally managed conservation units of pacific salmon, 16 of which spawn directly in the Lower Fraser. In support of Raincoast Conservation Foundation’s “Vision for Salmon in the Lower Fraser”, we intend to map historical salmon habitat, and apply the Marxan spatial analysis tool to identify priority areas for restoration. Historical baselines can quantify this “Vision” and Marxan can help chart a path towards achieving it.

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Faculty Supervisor:

Tara Martin

Student:

Riley Finn

Partner:

Raincoast Conservation Foundation

Discipline:

Forestry

Sector:

Environmental industry

University:

Program:

Accelerate

A Cross-Cultural Study of Electromyography Input for Older Adults

The proposed research concerns the use of Electromyography (EMG) input, via the Myo Armband, for older adults (OAs). EMG input, such as that available through off-the-shelf products, such as the Myo armband (made by a Canadian firm, Thalmic Labs from Waterloo), enables access to interactive commands in an intelligent home setting. Gestures facilitated by EMG armbands require brisk movements, and require extending our arms/forearms beyond the level of comfort of even the range-of-motion possible by OAs. Our work will design and validate techniques to personalize EMG signals to cater to each individual’s needs, in particular OAs carrying out various home-based tasks. We are further interested in investigating the cross-cultural implications of a gestural interface. Our intent is to design capabilities to for seamless digital interaction in Ambient Assisted Living environments.

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Faculty Supervisor:

Pourang Irani

Student:

Yumiko Sakamoto

Partner:

Kochi University of Technology

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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