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

Automatically Assessing Frailty from Medical Notes

Frailty is an especially problematic expression of population ageing. It is a condition characterised by loss of biological reserves across multiple organ systems and vulnerability to physiological decompensation after a stressor event. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, nursing home admission and mortality. This project addresses the issue of predicting frailty in patients by automatically processing medical notes taken by health professionals when consulting those patients. The result of this research could provide valuable information for physicians and other health professionals for individual patient care, as well as epidemiologic indicators on the overall population. The problem will be addressed by evaluating three different, but maybe complementary, approaches: Natural Language Based (NLP) processing, frailty index prediction using deep learning and summarization techniques. Besides, we intend to study in this project two side aspects of the application of technology to the health domain: the explainability of automatically generated predictions and knowledge discovery.

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Faculty Supervisor:

Randy Goebel

Student:

Juliano Cicero Bitu Rabelo;Housam Khalifa Bashier Babiker

Partner:

AltaML

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Accelerate

Microfluidics Study of Three-Phase Non-Equilibrium Phase Behavior

CO2 management have been an important research theme to minimize the GHG impact on Canadian environment. Enhanced oil recovery by injecting CO2 underground is a very efficient way to minimize the CO2 environmental effect. Meanwhile, after primary and secondary production, either CHOP or CHOPS well present a high water cut in the produced liquid stream. This high water cut has a significant effect on choosing the proper post-CHO techniques. Therefore, in order to understand how the presence of various aqueous phase interacts with CO2 injection in heavy oil reservoir, non-equilibrium phase behavior study will be conducted on three-phase system under multiple reservoir operating schemes within the equipment allowable range of 0.1MPa—20MPa and 20?— 180?. Multiphase flow system mainly includes CO2 and heavy oil, with the addition of other aqueous solutions, such as brine, polymer, surfactant, alkaline solution etc. A profound understanding of solvent-heavy oil-aqueous solution three-phase non-equilibrium phase behavior will be achieved.

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Faculty Supervisor:

Farshid Torabi

Student:

Jing Zhao

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

University of Regina

Program:

Accelerate

A Web-Based Traffic Steering and Orchestration Platform for NFV Services

Traditionally a Service Function Chain (SFC) consists of a set of dedicated network service boxes such as firewall, load balancers, and application delivery controllers that are concatenated together to support a specific service. With a new service, new devices must be installed and interconnected in certain order. This can be a very complex, time-consuming, and error-prone process, requiring careful planning of topology changes and network outages and incurring high OPEX. Through network function virtualization (NFV) service, carriers and service providers can dynamically create virtual environment for a specific SFC and eliminate the complex hardware and labor work.
While AWS (Amazon Web Service) is a big success in cloud services, there are few customer-driven platforms for NFV that provide the synergy of cloud services, core networks, and edge resources. In this project, we propose to develop an orchestration and traffic steering platform that allows customers to setup their service function chains dynamically through web. These SFCs will be deployed over the infrastructures operated by network and service providers automatically with elastic and optimal resource usage.

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Faculty Supervisor:

Changcheng Huang;Chung-Horng Lung

Student:

Qiao Lu;Amir Aghasharif;Abdullah Bittar;Sameh Ibrahim

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

Carleton University

Program:

Accelerate

An Examination and Case Study of Forest Management Activities in BC to Support Grizzly Bear Conservation

This project will involve identifying, comparing and contrasting how different forestry practices affect grizzly bear habitat in BC. The research will involve examination of peer-reviewed scientific literature as well as NGO and government reports in order to categorize and explain how grizzlies respond to different management techniques. Key comparisons and concepts will then be applied to create models that can estimate the chances of grizzly bear occurrence using remotely sensed data. This includes satellite imagery, airborne or UAV imagery as well as GPS collar data. The partner organization will benefit by gaining a better understanding of how forest management directly affects grizzly bears and how geospatial data can be used to assess and predict the impact of different management techniques.

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Faculty Supervisor:

Nicholas Coops;Cole Burton

Student:

Chris Colton

Partner:

Grizzly Bear Foundation

Discipline:

Forestry

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

Affect Recognition of Human Players in VR Games

Recent research has shown that people can perceive which affective state one is in simply by looking at body movements (without facial expression). Because of this, it has been possible to train machine learning algorithms to automatically recognize the affect of users from their body movements, to be used in human-computer interaction. This project consists in trying to adapt and deploy the same type of algorithms in a VR environment, where only partial movement information is available (hands and head positions of the user). A collaboration between the Metacreation Lab for Creative AI and Vancouver-based VR studio Inscape, this project deliverable is an AI that can predict the affective state of the VR user in realtime.

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Faculty Supervisor:

Philippe Pasquier

Student:

Mirjana Prpa

Partner:

Inscape Studios

Discipline:

Interactive arts and technology

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Development of Lightweight Aluminum-Rare Earth Specialty Alloys Reinforced with Nano and Micro composites

Amongst the automotive, marine and aerospace industries, the growing demand for maintaining customer satisfaction through enhanced performance while sufficiently meeting strict governmental regulations on fuel economy and emission control has forced manufacturers to develop lighter metals with superior properties as compared to their predecessors. The new and improved metals will allow manufacturers to reduce the weight of their components while increasing the subjected temperatures and/or forces, thereby reducing fuel consumption and harmful emissions while increasing the performance of their vehicles. The purpose of this project is to develop a lightweight material capable of withstanding the necessary increase in operating conditions. This will be achieved by introducing high strength materials such as rare earth elements and carbon nano-tubes into aluminum. The new alloy will be subjected to a series of mechanical test that will determine its strength. In addition, the structure of the metal will be investigated thoroughly using sophisticated microscopes.

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Faculty Supervisor:

Dimitry Sediako

Student:

Joshua Stroh

Partner:

Eck Industries

Discipline:

Engineering - other

Sector:

University:

Program:

Accelerate International

Performance Analysis of a Network of Dual-Lane Roundabouts – Part 2

Modern roundabouts have become a subject of great interest and attention over the last few years considering their potential to reduce vehicular delay & emissions and increase safety. The objectives of this study to examine the short- and long-term benefits performance of roundabouts from a multi-modal perspective. Using real observed data from vehicular traffic, pedestrians, cyclists and transit vehicles and complementing it with microsimulation data, this research will assess the delay, environmental impacts and safety of a network of three roundabouts. By conducting this research, the Intern would have the opportunity to incorporate research expertise in a real-life engineering project and benefit from the practical engineering viewpoints at the partner organization. Industrial partner, ISL Engineering and Land Services, is seeking for a comprehensive and comparative analysis among the performance of roundabouts and a network of signalized intersections from a multi-modal perspective. Such analysis provides valuable recommendations for future applications both design approaches for different traffic conditions.

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Faculty Supervisor:

Lina Kattan

Student:

Seiran Heshami

Partner:

ISL Engineering and Land Services Ltd

Discipline:

Engineering - civil

Sector:

University:

University of Calgary

Program:

Accelerate

Optimization of a Stochastic Heterogeneous Vehicle Routing Problem for the Trucking Industry

In the transportation industry customer satisfaction, driver retention and profitability are some of the most critical factors in company success. As regulatory environments change, and competition grows Contrans Corp., a flatbed freight company, is seeking to develop a user-friendly application that allows team members to rapidly and accurately determine an optimal dispatch schedule for the fleet. This tool takes in information, such as road conditions, order types, vehicle specifications, driver specifications and time windows and solves a vehicle routing problem to maximize company profits and driver satisfaction, all whilst ensuring customer demand is met. This tool will be implemented in a graphic user interface and will serve as a case study for how operations research can ensure sustainability in the trucking industry.

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Faculty Supervisor:

Jeff Gostick;Michael Fowler

Student:

Steven Zak Brookshaw;Nicholas Preston

Partner:

Contrans Corp.

Discipline:

Engineering - chemical / biological

Sector:

Transportation and warehousing

University:

University of Waterloo

Program:

Accelerate

Improvement of the Robotic System for Stereotactic Neurosurgery in the MRI-guided process

In the MRI-guided stereotactic surgery, a robotic system is applied to assist the efficient workflow, process accuracy and safety. An important issue in the robot system is that the MRI closed-hole design limits its dimensional requirements and flexibility. In this project, a conceptual design will be proposed to reduce the robot size and increase its flexibility. The proposed design will be better used in conjunction with MRI scanners for the brain stereotactic surgery. Cubresa Inc. dedicates to the development of brain PET and intraoperative nuclear magnetic technology. The proposed robotic system will be compatible with a new generation of intraoperative nuclear magnetic scanner developed by Cubresa Inc. The project will provide innovative technologies for the brain disease treatment.

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Faculty Supervisor:

Qingjin Peng

Student:

Bocheng Xu

Partner:

Cubresa Inc.

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate

A randomized control trial comparing weight loss effects between the Keyto virtual “ketogenic diet” program compared to a standard-care weight loss app

Over 60% of overweight or obese individuals attempt weight loss diets each year. Although many different dietary approaches can lead to weight loss, increasing evidence suggests that a very low-carbohydrate ketogenic diet may have superior metabolic and weight loss effects. However, any diet is only as effective as adherence to it and adherence requires effective self-monitoring. While many evidence-based dietary programs are time and resource-intensive, Keyto is a scalable self-monitoring and app-enhanced intervention to help individuals learn about and monitor their breath acetone (a measure of ketosis) levels to promote dietary change and weight loss. Keyto has reported anecdotal success but would like robust evidence supporting the use of this low-cost, highly scalable intervention to help self-monitor and adhere to a ketogenic diet. The purpose of this research is to test the Keyto self-monitoring + app intervention against a “standard of care” mHealth weight loss dietary intervention.

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Faculty Supervisor:

Jonathan Little

Student:

Sean Locke

Partner:

Keyto Inc

Discipline:

Other

Sector:

Health care and social assistance

University:

Program:

Accelerate International

Designing a Driving Simulator in an Immersive Virtual Reality Environment as an Engaging Driving Game for Older Adults

In this project a driving simulator in virtual reality will be designed and developed, in which a user can drive a virtual vehicle in a country road with incoming cars and traffic lights and possibly some animals crossing the road. The users will learn the path to reach a destination through the trial and then they are supposed to drive the virtual vehicle in the same pathway and by doing so, strengthen their spatial navigation skills. The game will be played by a physical steering wheel and two pedals for acceleration and brake like a real car. The game is also designed to be suitable for older adults with dementia. It will also have different difficulty levels. While this short project is dedicated to the design and development only, it will have great applications for individuals with dementia as it will be an engaging and mood-uplifting game while also will likely improve the users’ cognitive function

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Faculty Supervisor:

Zahra MK Moussavi

Student:

Sogol Masoumzadeh

Partner:

Riverview Health Centre Foundation

Discipline:

Engineering - computer / electrical

Sector:

Health care and social assistance

University:

University of Manitoba

Program:

Accelerate

Scale-up synthesis of novel amine-containing polymers and their initial application as materials for additive manufacturing and responsive coatings/adhesives

In the pursuit of materials that combine the inherent stability of a plastic with additional novel features, this project aims to develop a new platform of nitrogen containing polymers. Using novel synthetic pathways, we have developed and characterized such materials with features such as enhanced strength, adhesion, and self-healing capabilities. This project seeks to bring these materials from the academic bench-top to commercial production scale. Large-scale production will be used to facilitate the application of these materials into blends with other commodity polymers, which will be used to fabricate printing materials for 3D-printing (additive manufacturing). These materials will also be applied as coatings that possess improved adhesion and durability. The ulti

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Faculty Supervisor:

Savvas G Hatzikiriakos;Laurel L Schafer;Ken MacFarlane

Student:

Damon Gilmour;Tanja Tomkovic

Partner:

A2O Materials Inc

Discipline:

Chemistry

Sector:

University:

University of British Columbia

Program:

Accelerate

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