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

Advanced Control and Data Analysis in Support of Unmanned Vehicle Operators

Mobile robots equipped with chemical, radiological and explosive detectors are deployed during events where CBRNE materials have been dispersed; sending robots provides key reconnaissance data while reducing personnel exposure. Operators rely on camera views and on-board detectors to drive the robots using joysticks, and they have to control every aspect of the robot operation. Live detector data collected by the robot can be overlaid on maps. However, insufficient situational awareness, sparse and inaccurate data put a significant demand on the operators for navigating the robot, mapping the contamination levels and locating the hazard in time efficient fashion. This proposed research project will develop proof-of-concept advanced robot controls and comprehensive analytical tools that can assist mobile robot operators to make faster and more correct decisions, increase robots’ safety and mobility during a real-time situation in complex environments. Some of these concepts may be adopted in prototypes and products in the future.

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Faculty Supervisor:

Dr. Raquel Urtasun

Student:

Yangji Hu

Partner:

MDA Corporation

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Comparative Building Life-Cycle Performance of Insulating Concrete Forms (ICF) Vs. Wood-Frame Construction Phase I: Energy Performance

ICF construction is an alternative for wood-frame construction for residential buildings which potentially has higher energy performance compared. However, this potential advantage has to be measured and compared. This study compares the energy performance of residential buildings constructed with Insulating Concrete Forms (ICF) to those of conventional wood frame buildings in four cities in three different climate zones.

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Faculty Supervisor:

Dr. Rodrigo Mora

Student:

Aiden Kiani

Partner:

Quad-Lock Building Systems

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

British Columbia Institute of Technology

Program:

The Evaluation of Risk and Return for Community Impact Investments

The ‘Evaluating Risk and Return for Community Impact Investments’ projects seeks to engage one masters level student intern for one semester to work with the partners in designing a new evaluation tool or framework for the risk and return of community impact investments. The intern will gain an understanding of the investment policies and risk tools in place at the partnering organizations and will research how other organizations are evaluating the risk and return on impact investments. With this research, best practices will be summarized and an evaluation tool will be created. Vancity Community Foundation and Vancity Credit Union will benefit from this project, as they would like a more systematized evaluation tool for their own community impact investments.

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Faculty Supervisor:

Dr. Sean Markey

Student:

Ashley Hardill

Partner:

VanCity

Discipline:

Resources and environmental management

Sector:

Finance, insurance and business

University:

Simon Fraser University

Program:

Accelerate

Improvement of Quality and Efficacy of Natural HealthProducts & Dietary Supplement

The overall goal of this project is for the University science team at the University of Ottawa and University of New Brunswick to develop high quality Echinacea products for Canadian and world markets in collaboration with Amway Canada. One objective involves phytochemical and pharmacological selection and propagation of elite Echinacea from the historic Echinacea germplasm available at Amway’s Trout Lake Farm. A second objective is to develop evidence based marketing information on the improved Echinacea.

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Faculty Supervisor:

Drs. John Arnason, Cory Harris & Stewart Cameron

Student:

Rui Liu, Andrew Waye & Christianne Askanas

Partner:

Amway Canada

Discipline:

Biology

Sector:

Consumer goods

University:

University of New Brunswick

Program:

Accelerate

Affective mechanisms for interactive environments

The proposed internship, developed between the University of Waterloo and Philip Beesley Architect Inc. (PBAI), will develop and validate prototypes for novel expressive interactive sculpture environments. The work incorporates human perceptual studies and machine learning techniques for generating models for perception and generation of affective expression within experimental architecture and installations, and systematically deriving the relationship between affect and structure. Researchers will develop design methodology and control algorithms and will produce initial prototypes of mechanisms. The design process and prototypes developed will enable PBAI to integrate new technology within new environments capable of affective communication with installation visitors.

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Faculty Supervisor:

Dr. Dana Kulic

Student:

Mohammadreza Memarian

Partner:

Philip Beesley Architect Inc.

Discipline:

Engineering - computer / electrical

Sector:

Construction and infrastructure

University:

University of Waterloo

Program:

Accelerate

The physiologic effects of Capsaicinoid ingestion on human metabolism and exercise performance

Additional research is required to fully understand the effects of Capsaicinoids, a supplement that contains the active ingredient in hot peppers. Previous studies have demonstrated its ability to reduce appetite and weight. However, there is lacking information regarding the effects of this supplement on cardiovascular health and exercise performance. The intern will be responsible for collecting and interpreting various physiological measurements from participants, where half will be randomly chosen to consume the supplement, while the other half will be given a placebo. The participants will not be made aware of which product they will be receiving. This study will provide the partner organization with a greater understanding of the potential of this product. It will also permit them to develop a more strategic marketing plan that will allow consumers to make an informed decision based on newly acquired knowledge with regards to this supplement.

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Faculty Supervisor:

Dr. Jamie Burr

Student:

Pamela Arsenault

Partner:

OmniActive Health Technologies (Canada) Ltd.

Discipline:

Pharmacy / Pharmacology

Sector:

Pharmaceuticals

University:

University of Prince Edward Island

Program:

Accelerate

Improving berry picking efficiency of wild blueberry harvester using precision agriculture and bio-systems modeling techniques

The overall objective of the proposed initiative is to develop a novel, automated and integrated field operation and berry harvesting system that will identify the root causes of increased loses; increase berry picking efficiency and product quality. Currently, there are 15 to 25% fruit yield losses during the harvesting with the existing commercial blueberry harvester. The wild blueberry growers set a goal increase the harvestable yields by 33%. To achieve this, the technology based products and processes that are envision include (i) identification of sources responsible for increased losses (ii) improve harvestable berry recovery, (ii) replacement of old technology with innovative integrated harvesting system, (iv) find out a suitable combination of ground speed and harvester head revolution with minimum losses after detailed evaluation of the harvester using precision agriculture technologies and mathematical modeling procedures. Improving harvesting efficiency can reduce fruit losses and contribute millions of dollars to provincial as well as the federal economy every year.

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Faculty Supervisor:

Dr. Qamar Zaman

Student:

Muhammad Waqas Jameel

Partner:

Doug Bragg Enterprises Ltd.

Discipline:

Agriculture

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Supervised and Semi-supervised approaches to sample growing and online prediction of customer intent

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged to improve the robustness and efficacy of supervised models built using the combined survey/behavioural data alone. In addition, these models can be used to optimize and improve online predictive algorithms, where behavioural data from web site users is modelled in real-time to create profiles or to label traffic as indicative as one group/class or another.

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Faculty Supervisor:

Layachi Bentabet

Student:

Tegan Maharaj

Partner:

iPerceptions

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Bishop's University

Program:

Accelerate

Vestibular Response Pattern Recognition in Relation to Concussion

This proposal presents research projects to evaluate a new technology, Electrovestibulography (EVestGTM) that holds potential to objectively, quickly and quantitatively measure the severity of concussion, thus aiding in its diagnosis. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the vestibular response. When concussed, people commonly experience balance (vestibular) problems and dizziness, as well as confused thinking. Considering the well-known bidirectional anatomical links of the vestibular system, following an impact concussion the EVestG signals will change, and should be indicative of a concussion. Data will be collected from referred patients, who have had concussion, as well as age and gender-matched controls. Two different signal processing will be used to derive characteristic features specific to concussion. Expert diagnostic classifiers will be developed using the statistically significant features of the two groups of participants, and the results will be compared with clinical diagnoses. The proposed research may lead to a technology that can be used for both objective diagnosis and recovery monitoring of concussion.

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Faculty Supervisor:

Dr. Zahra Kazem-Moussavi

Student:

Abed Sulieman & TBD

Partner:

Neural Diagnostics (Canada) Inc.

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

University of Manitoba

Program:

Accelerate

Functional Cost Methodology for Automotive Lightweighting

To meet CAFE standards for fuel economy, many new projects are being undertaken. One such method being investigated to achieve these standards is vehicle lightweighting. Each lightweighting project has an associated cost and will have an impact on various functional groups of the vehicle. During this internship, the related functional benefits of lightweighting will be analyzed, with a focus on location (zone) based effects. The zones will be accessed and a value to weight reduction ratio will be assigned to each. The results will be compiled into a set of technical guidelines to be used for future lightweighting projects. These guidelines will allow projects to be appropriately selected by comparing their functional benefits with their financial impact. In turn, additional investments can be made to meet the CAFE standards.

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Faculty Supervisor:

Dr. Michael Wang

Student:

Thomas Pagliarella

Partner:

Chrysler Canada Inc.

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

University of Windsor

Program:

Accelerate

Process mapping and documentation at Eclipse Automation: Balancing standardization and flexibility in an engineer-to-order operation

The first phase of the project produced a detailed modeling and documentation of the Sales and Quotation phase of the partner's business process. Interview results were combined with existing documents, database information, etc., to map and describe the business tasks in the process. The primary deliverable for the first phase was a detailed model of the partner's business processes. The model describes the major participants involved, including various functions and roles and interactions with customers and suppliers. The major processes and workflows are represented, and each process is specified in terms of its inputs, outputs, and a detailed description of the activities and/or sub-processes involved. The second phase of the project will extend the modeling and documentation exercise to the other phases of the company’s processes which include project planning phase, design phase, manufacturing & assembly phase, integration & acceptance phase, teardown & ship phase, installation & final acceptance phase and the project cleanup phase.

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Faculty Supervisor:

Dr. Rob Duimering

Student:

Ponle Salu

Partner:

Eclipse Automation

Discipline:

Business

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Integration of socio-physiological sensors to estimate team functional state in mobile command and control

Teams in crisis management operate in uncertainty and time pressure conditions, which severely constrain team performance. Systems capable of detecting critical levels of cognitive functioning could help teams to adapt better to the situation they face by allowing an intelligent re-allocation of tasks across agents. Traditionally, adaptive systems are based on the operator behavioral response (such as performance). However, using advanced human sensing tools, we can assess the operator functional state to anticipate human error (i.e., recognize states with high error probabilities), allowing teams to take preventive actions as opposed to reactive actions. This internship aims to support Thales’s efforts in developing a multi-sensor platform for the support of emergency response personnel.

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Faculty Supervisor:

Sebastien Tremblay

Student:

Mark Parent

Partner:

Thales Canada Inc.

Discipline:

Psychology

Sector:

Aerospace and defense

University:

Université Laval

Program:

Accelerate

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