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

Human Errors Analysis in an Aircraft Engine Assembly Center

Human operators show significant variability in performance when operating in complex manufacturing systems that are usually referred to human errors. Such errors are identified as the failure to perform an action within the safe operating limit and often lead to product quality defects. Approximately 50%-80% of the incidents and accidents in safety-critical systems have been associated with human error.
Despite the recent technological advances in eliminating error in the manufacturing of aircraft engines, the engine assembly centers are heavily dependent on human interventions. Occasional human errors occur in these work centers due to different factors. The delivery of defect-free products to customers that also conform to regulatory requirements calls for a systematic approach for identifying, reporting, and managing human errors. This project aims to develop a robust human error assessment framework in order to identify: i) different categories of human errors; ii) root causes of errors; and ii) mitigation actions.

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Faculty Supervisor:

Masoumeh Kazemi Zanjani

Student:

Artin Markousian

Partner:

Pratt & Whitney Canada

Discipline:

Aerospace studies

Sector:

Aerospace and defense

University:

Concordia University

Program:

Accelerate

Rotational Doppler shift with optical vortices in the backward-wave phase-matching process, as probe for improved vibration sensing – Year two

The rotational Doppler shift in the nonlinear optical process will improve the precision and resolution of the detection of the dynamics of an object, particularly the resolution of its rotational motion. The project aims at the design, realization and study of rotational Doppler shift based on the nonlinear interaction specifically tailored for the backward-wave phase matching. One of the applications of this novel technique is to improve the observation of nonlinear Doppler frequency shift and to allow the realization of a new, compact sensor, particularly suited for extreme and hostile monitoring environments. Therefore, the outcome of this project will aid the company to develop a new line of products and further their specific expertise in the development of sensors. In view of expansion to new markets with advanced technology and in order to stay ahead of competition with other companies QPS Photronics inc. will undoubtedly benefit from this project.

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Faculty Supervisor:

Roberto Morandotti

Student:

Aadhi Rahim

Partner:

QPS Photronics Inc.

Discipline:

Journalism / Media studies and communication

Sector:

Advanced manufacturing

University:

Program:

Elevate

Crowd-Sourced Bathymetry in the Northern Canada areas

The main objective of these two subprojects is to provide a web portal for uploading hydrography related data of sensors system embedded on fishing boat of volunteers in Canada Northern communities. Indeed, the geospatial portal will provide a comprehensive framework to allow for the storage, discovery and accessibility of the bathymetric and related oceanographic data from a data repository enabling to be functional including low Internet connection setup. Once, the data uploaded on the server, cross-validation and data format standards will be checked through the system. A complete metadata form will be designed in order to enhance the possibility of study on data quality and uncertainty assessment of group or individual data provider. Geospatial knowledge discovery methods will be applied to develop a Geospatial Business Intelligence (GeoBI) system in order to visual analytic purpose for geospatially informed decision-making.

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Faculty Supervisor:

Costas Armenakis

Student:

Khaleel Arfeen

Partner:

Discipline:

Engineering

Sector:

Education

University:

Program:

Accelerate

Drive Continuous Innovation Growth in Canada

Many reports have indicated that with the current state of Canada’s science and technology, Canada is not globally competitive in business innovation, and the current state of growth is not sustainable. How to drive continuous innovation growth in Canada?
This proposal centers on three areas: (1) continuous innovation growth in large incumbents, (2) viable business growth from start-ups, and (3) inter-government collaboration on technology and innovation. Our research of the studies on technology and innovation in Canada has identified them as key weaknesses that need to be addressed. By examining the three areas, the proposal intends to generate insightful findings that will have the potential to make significant contributions to boost continuous innovation performance in Canada.

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Faculty Supervisor:

Linying Dong

Student:

Andrea Rowe

Partner:

Connectiv Innovation Corporation

Discipline:

Political science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Acetal-Free carbohydrate antigens and their multivalent display for lung cancer immunotherapy

This collaboration between pharmaceutical company NuvoBio and a Research Team led from the University of Windsor and working with Dalhousie and the University of Western Ontario seeks to develop a new vaccine for lung cancer. The students and postdoctoral fellows will be making new types of molecules and investigating some underlying questions about how we formulate vaccines, as well as preparing these promising compounds and studying their safety an efficiency in preventing and eliminating lung cancers. This will expose everyone on the team: interns, professors, and company leaders and scientists, to a mixture of new chemistry, biochemistry, and immunology. The company aims to use the knowledge gained to help make the new vaccine, and provide society with a new treatment for lung cancer.

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Faculty Supervisor:

John Trant

Student:

Ashanul Haque

Partner:

NuvoBio Corporation

Discipline:

Biochemistry / Molecular biology

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Feasibility and Impact of Delivering Supervised Worker, Occupation, and Environment Health and Wellness Services to Offshore Oil and Gas Platforms: A Response to the Wells Inquiry

The project is feasibility and impact exploration of delivering supervised worker, occupation, and environment health and wellness services to offshore oil and gas platforms. Participants are engaged in a detail study to provide useful results that can serve as a response to the Wells Inquiry.

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Faculty Supervisor:

Guang Sun

Student:

Mike Wahl

Partner:

Medisys Corporate Health

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Electrochemical Impedance Modeling and Optimization of Li-Ion Battery Utility using Active Battery Management System (ActiveBMS) – Year two

In the last decade, lithium-ion batteries (LIB) have become the most popular power sources for consumer devices, telecommunication, energy storage systems, as well as electric vehicles. This type of batteries is indispensable in maintain our modern society. GBatteries have developed an active battery management system (ActiveBMS), which hinders LIB degradation mechanisms, such as the anode cracking and temperature growth by continuously adapting bursts of energy during the charging process. ActiveBMS is an innovative technological approach for battery management that enhances battery performance by optimizing ion flow based on measurement of a battery’s unique state and condition in real-time. The project aims to provide insights of LIBs degradation during cycling by ActiveBMS in comparisons with the conventional CCCV protocols. The insights will be correlated to EIS signals which in turn would be used to allow further improvements of LIBs and ActiveBMS technologies.

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Faculty Supervisor:

Elena Baranova

Student:

Evans Monyoncho

Partner:

GBatteries Energy Canada Inc.

Discipline:

Engineering - chemical / biological

Sector:

Energy

University:

Program:

Elevate

Dymedso FrequencerTM technology optimization

Dymedso is willing to introduce a new technology for sound-wave generation therapy that addresses some issues identified by patients and caregivers over the past years of use in clinical practice. The identified issues involve ergonomic and
performance limitations. For instance, the current version of the device is still cumbersome for patient use. Thus, for more practical and effective use, the device needs to be optimized in terms of size, weight, and overall performance. We will carefully analyze each of the modules composing The FrequencerTM including the sound-wave generator, the transducer, and the communication system to propose improvements for each of them. In addition, different types of sensors and feedback interfaces will be investigated for the new version in order to improve the effectiveness of this device.

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Faculty Supervisor:

Mohamad Sawan

Student:

Fereidoon Hashemi-Noshahr

Partner:

Dymedso Inc

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

Study and Development of Energy-efficient Collaborative AI Technologies in Greenhouse Nursery Robotic Systems

The proposed project aims to address several challenges that the nursery robots made by AIS Inc. is grappling with. The project tasks are divided into two subprojects: 1) optimizing the electrical and control systems for the AIS robots, and 2) designing a multi-agent system to allow collaboration among the robots. The first subproject consists of estimating the state of charge of the robot’s battery, and designing and building appropriate self-tuning PID controller for the motor drives installed in robots. It will also modify and optimize the electrical boards which are currently used for supplying the electrical components towards an improved customer replacement unit for user’s convenience. The second subproject aims to design and implement a multi-agent artificial intelligence system in which robots can distribute their tasks among each other. It will decrease the task accomplishment time and energy consumption. TO BE CONT’D

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Faculty Supervisor:

Jiacheng Wang

Student:

Abdolazim Keshtkar

Partner:

Advanced Intelligent Systems Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Ecology, Conservation and Welfare of Captive and Wild Animals

Animal welfare and behaviour is a concern in captivity but is also a factor affecting conservation success. An animal ability to cope with stressors, which varies between and within species, can affect survival of individuals and compromise a population’s viability. Human-induced stressors impact individuals differently depending on their personality, which applies to captive and wild settings. Ignoring this variation in animal behaviour can diminish the efficacy of costly conservation plan or, even worse, permanently alter the survival probability of a species by artificially selecting some behaviour trait or lead a population toward domestication. This project’s goal is to evaluate the adaptive value of different personality facing human induced stress in captivity and in the wild.

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Faculty Supervisor:

Robert Weladji

Student:

Isaac Blaise Djoko

Partner:

Granby Zoo

Discipline:

Biology

Sector:

Life sciences

University:

Program:

Accelerate

Determining the effects of gating modifier compounds on cultured central nervous system neurons as potential therapeutics against epilepsy.

Voltage-gated sodium channels are key contributors to excitability in living organisms; hence, modulation of these channels through mutations and/or environmental triggers can often lead to serious disorders. Having an enriched understanding of the sodium channel electrophysiology may result in uncovering potential therapeutic targets. The general aims of our research include studying the effects of various modulators on sodium channels through well-established electrophysiological techniques. These efforts will be an effort to discover potentially therapeutic modulators against sodium channel-mediated epilepsies.

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Faculty Supervisor:

Peter Ruben

Student:

Mohammad-Reza Ghovanloo

Partner:

Xenon Pharmaceuticals Inc

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

Development of an advanced ice dynamics and deterioration model and a DEM flexural ice failure model

Offshore Newfoundland is an ice-prone environment which holds valuable natural resources. Better understanding of the ice environment and ice characteristics in this region is essential for safe and economical offshore activities. In this proposed research, we aim to develop advanced models that provide a deeper understanding of some aspects of ice dynamics and deterioration and ice mechanics to make improved predictions of ice behavior.
The first model aims to evaluate the relative contribution of sea ice forcing to the overall drift of four ice island fragments tracked offshore Newfoundland in the Strait of Belle Isle.
The second model is a discrete element model (DEM) that intends to provide a better understanding of flexural strength of solid ice, rubble ice and ice ridges.

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Faculty Supervisor:

Rocky Taylor

Student:

Soroosh Mohammadafzali

Partner:

C-CORE

Discipline:

Engineering

Sector:

Other services (except public administration)

University:

Program:

Accelerate

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