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

Exergoeconomic Optimization of Advanced Compressed Air Energy Storage Technology (A-CAES)

Development of energy storage has been identified as one of the most important features of our rapidly evolving energy grids. While the significance of flexibility it provides is well understood, commercialization remains non-trivial. Advanced Compressed Air Energy Storage (A-CAES) is founded on well-known scientific principles that have been combined and applied in a novel way. These innovative systems are complex, each component with its own opportunity for optimization. Two new A-CAES facilities are being built for connection to Ontario and Australian power systems; this proposal will use advanced thermodynamic analyses to determine how each of the A-CAES systems can be operationally optimized. These energy storage systems can perform many different services for energy grids, each often with its own value proposition. In addition to optimizing the engineering performance of these systems, analysis will be undertaken to determine how each system should be operated to maximize profit for these fledgling businesses.

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Faculty Supervisor:

Rupp Carriveau;David Ting

Student:

Mehdi Ebrahimi

Partner:

Hydrostor

Discipline:

Engineering - mechanical

Sector:

Energy

University:

University of Windsor

Program:

Accelerate

As-built 4D Feedback Control For Fabrication and Assembly

This proposal aims to develop a new fabrication model where the geometric compliance of components is not only controlled by the original design information but also accounts for the deviations (within tolerance) of the previously built components and calculated deviation on the component being built. The developed model allows for in-progress checking of fabricated components and tracking the termination points with respect to a periodically updated termination point on the design or target location. The development of such a model can allow construction and fabrication shops to assure that there will not be any fit-up issues onsite (which is very costly). Broader impact as input to improved feedback control systems for robotic or human-robotic fabrication will be achieved as well.

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Faculty Supervisor:

Scott Walbridge

Student:

Mohammad Mahdi Sharif

Partner:

Glove Systems Inc

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of Waterloo

Program:

Accelerate

Calibration and modeling for an individual tree LiDAR forest resource inventory in boreal Ontario

Ontario has recently acquired a new forest inventory, based on aerial photos, and for the first time, a technology called single photon Light Detection and Ranging (LiDAR). This technology allows users to not only see the forest, but precisely calculate tree heights, drainage, and other things by collecting dozens of measurements per m2. A first step to utilizing this technology is being able to identify and map individual tree crowns. This research will focus on identifying individual tree crowns as a first step to developing highly accurate, affordable forest inventory. It is now possible to map forest resources more accurately than ever before, but questions about how to calibrate the data to ensure accuracy and how much we can detect remain. Forest vertical structure is one area that LiDAR may be able to quantify and classify. TO BE CONT’D

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Faculty Supervisor:

Ulf Runesson

Student:

Lucas Klages

Partner:

Resolute Forest Products Canada Inc.

Discipline:

Resources and environmental management

Sector:

Agriculture

University:

Lakehead University

Program:

Accelerate

Development of testing & quality control methods for e-textiles

From the invention and commercialization points of view, the world of the textile industry has been undergoing revolutionary changes at an unprecedented speed with novel research works in the field of textile processing chemicals, fibres and yarns, technical textiles, and now e-textiles (electronic textiles). E-textiles have massive potentials to change the health care, safety, and protection industries due to their unique capability to sense physiological and environmental conditions, alert about a potential issue, and mitigate the change in conditions. However, the current e-textile industry is facing some limitations to formulate universal testing and quality control standards necessary for industrial implementation and mass adoption. This PhD project will target electrical performance testing methods and investigate different configurations of the e-textiles, and the impact of environmental and mechanical factors on their electrical conductivity. TO BE CONT’D

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Faculty Supervisor:

Patricia Dolez

Student:

Ikra Iftekhar Shuvo

Partner:

Groupe CTT

Discipline:

Biology

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Employers’ expectations of technological proficiency levels of university business graduates

“Business Studs” is a web based business development, platform providing cheaper and effective physical presence in existing and emerging markets, helping businesses grow in existing and new markets through independently working sales professionals in different industries. This research project aims to undertake a study to determine gaps in skills training from graduating students to employers.

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Faculty Supervisor:

Carlos Bazan

Student:

Muhammad Khurram

Partner:

Business Studs Inc.

Discipline:

Education

Sector:

Consumer goods

University:

Memorial University of Newfoundland

Program:

Accelerate

Weldability of Thermoplastic Materials for Automotive Applications

Use of thermoplastics for engineering applications has become critical over the past decade with the automotive industry looking for creative ways to reduce vehicle weight. As such, linear vibration welding is gaining acceptance as a specialized method for joining thermoplastic parts. This research will focus on amorphous resins used in automotive light-weighting applications. Amorphous plastics typically have better impact resistance, but less resistance to fatigue cracking and stress cracking when compared to semi-crystalline plastics. The type of material combinations and welding parameters (e.g., frequency, amplitude, weld pressure) on the properties and strength of the welds will be studied. Currently, Fiat Chrysler Automobiles have compatibility charts of plastic combinations that can be effectively welded together; however, these charts often have no indication of weld strength or other characteristics of the weld bond. This project will determine the vibration welding and each material combination’s resistance to environmental stress cracking.

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Faculty Supervisor:

Afsaneh Edrisy

Student:

Stephen Passador

Partner:

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate International

Cryptographic filesystem for video integrity

When storing and retrieving large quantities of aerial surveillance video to be used as evidence, it must be possible to validate video as authentic without relying on secret knowledge. Part of the solution to this problem involves a novel combination of cryptography techniques used in blockchains and elsewhere together with computer filesystems, allowing data to be stored in a way that can be easily authenticated. We have published a paper describing how such techniques could be combined in a novel way; in this project we will develop our proof of concept into a research prototype suitable for performance evaluation. We will then integrate it into a C-CORE blockchain database research project. Together, these systems will allow the integrity of aerial surveillance video to be verified at scale even in the presence of redaction. This will support the exercise of lawful authority in a manner that stands up to close scrutiny and improves the safety of Canadians.

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Faculty Supervisor:

Jonathan Anderson

Student:

Arastoo Bozorgi;Mahya Soleimani Jadidi

Partner:

C-CORE

Discipline:

Computer science

Sector:

University:

Memorial University of Newfoundland

Program:

Accelerate

Combining deep learning neural networks and spatiotemporal models for prediction and inference of residential house prices for property assessment

Property valuation is a crucial economic service that is used by local governments for the distribution of property taxes in order to fund local services. The current and widely adopted cost approach to valuation is based on estimating the land value and the depreciated cost of the building. This approach relies on third party cost information as well as individual assessor opinion and expertise and is typically enabled by a computer assisted mass appraisal system.
The sales comparison approach to property assessment uses the market to estimate value by comparing the subject to similar properties that have recently sold. This method often involves applying linear multiple regression analysis. We propose to build a machine-learning model to predict sales prices for all residential houses in Nova Scotia, using a database of features for each house. There are many different possible choices of models that could be applied to this problem. We will use two approaches: spatiotemporal modelling, and deep learning. Spatiotemporal modelling directly incorporates two of the most important predictors of house prices, and provides an interpretable model, which may be of assistance to assessors explaining and defending values if challenged in court.

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Faculty Supervisor:

Hong Gu;Toby Kenney

Student:

Xinyue Zhang

Partner:

Property Valuation Services Corporation

Discipline:

Statistics / Actuarial sciences

Sector:

Real estate and rental and leasing

University:

Dalhousie University

Program:

Accelerate

Identifying and validating rational combinatorial therapies for treatment-refractory Glioblastoma

Glioblastoma (GBM), the most common and deadly form of primary brain cancer in adults. After diagnosis, GBM patients undergo standard therapy, including surgery, chemotherapy and radiation therapy. Unfortunately, disease relapse is inevitable and patients face a median survival of less than 15 months. A small population of tumor cells, known as brain tumor initiating cells (BTICs), have been shown to resist standard therapy and lead to relapse. Using a multi-pronged approach, we are developing novel and rational combinatorial therapies against treatment-resistant GBM BTICs. We begin by identifying novel and rational combinatorial therapies that can be administered alongside standard therapy to GBM patients. In our arsenal of therapies, we are developing a GBM-targeted immunotherapy that harnesses and redirects the immune system to target BTICs. Together, our work aims to characterize and develop therapies against GBM BTICs to alleviate tumor burden and increase patient survival.

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Faculty Supervisor:

Sheila Kumari Singh;Jason Moffat

Student:

Neil Savage;Sabra Salim;Chirayu Chokshi;Martin Soste

Partner:

Centre for the Commercialization of Antibodies and Biologics

Discipline:

Biochemistry / Molecular biology

Sector:

University:

Program:

Accelerate

Diagenetic history porosity evolution of the sandstones and carbonates around the Labrador?Port au Port Group boundary, Belle Isle, Western Newfoundland

The proposed project investigates the diagenesis of the lowermost Port au Port carbonates in Western Newfoundland. Few earlier studies suggested that the carbonates vary from lime mudstones of low energy to grainstones and rudstones of high energy shallow-shelf settings. The study will allow the reconstruction of full diagenetic history of the basin and factors that controlled the precipitation of cements and dolomitization that influenced the net rock porosity as well as the timing of precipitation of those cements during basin history.

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Faculty Supervisor:

Karem Azmy

Student:

Noel Shembilu

Partner:

Nalcor Energy

Discipline:

Geography / Geology / Earth science

Sector:

Energy

University:

Memorial University of Newfoundland

Program:

Accelerate

CFD methodology for analysis of multiphase flow process

Oil that has passed through the bearings and gearboxes of aircraft engines is recycled by a specialized oil scavenging system that separates droplets dispersed from the shaft from air and particulate matter. This process helps to mitigate the emissions of aircraft engines, greatly improves oil consumption and Improves working life by improving the cooling capabilities of the lubrication system. Computational Fluid Dynamics Simulations are used to design the oil-air separation process In order to maximize it’s efficiency, and therefore the challenging task of modelling the multi-phase behavior of the fluid mixture is a critical step in the design of the air-oil separation system. The study aims to establish an optimal methodology to maximize predictive accuracy of the performance parameters relevant to oil-air separation using computational fluid dynamics simulations, valid over a range of operating conditions.

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Faculty Supervisor:

Rosaire Mongrain

Student:

Hristo Valtchanov

Partner:

Pratt & Whitney Canada

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Effects of Probio’Stick® and Diet on Health Outcomes after Chronic Stress Exposure

Research shows that the gut, the brain, and the collection of bacterial species that inhabit the gut (i.e., the microbiota) affect mental and physical health. Furthermore, stress seems to exasperate these disorders and this relationship may be explained by the unique connection between the gut, the brain, and the microbiota). In this experiment, we will examine how Probio’StickTM administration throughout the lives of rats can impact their response to unhealthy (high-fat or high-carbohydrate) diet and chronic, life-long stress). We are interested in how this probiotic may improve health outcomes related to diabetes, obesity, and anxiety in response to diet and stress. Through an industry collaboration, we are interested in helping Lallemand Health Solutions (Montreal, Canada) expand research on their probiotic, Probio’StickTM with respect to chronic stress and un

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Faculty Supervisor:

Tara S Perrot

Student:

Elizabeth Myles

Partner:

Lallemand Health Solutions

Discipline:

Psychology

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

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