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

Developing a cold weather admixture system for low temperature masonry construction

Low temperatures in cold seasons generate diverse challenges for the construction industry in many northern countries. Construction based on cementitious material suffer from the low hydration rate at low temperatures and the possible damage caused by water to ice transition at below freezing temperatures. The common solution for this problem is to heat and protect the raw and finished material until it reaches an acceptable strength. The other solution, still under exploration by many authors, and adopted in this work, is to use chemical admixtures to avoid or at least to reduce the protection time of the finished cementitious material. This project aims to explore the possibility of combining commercial admixtures and test them as antifreeze agents for mortar used in masonry construction. The other objective is to understand the chemical active process of mortar hardening at low temperature when the admixture is used.

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Faculty Supervisor:

Mohamed Boulfiza

Student:

Ouafi Saha

Partner:

Canada Masonry Design Centre

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

Asset Management Research & User Experience Prototyping

Asset management systems are becoming essential tools that help municipalities in infrastructure planning and management decisions. Additionally, building effective user experience solutions is an important factor in the success of any solution. The project objectives will be to investigate methods for building personalized user experiences and interfaces for the core of the company’s platform for different end user’s roles. The project’s main approach is to research methodologies for user experience prototyping taking into consideration the different user’s roles. The goal is to deliver an improved version of the company’s platform with new user experience prototypes. This research experience will enrich my knowledge in the field of user experience. I will research, apply different methods in a real world scenario and have the chance to get real user’s feedback. Finally, an improved version of the company’s platform will be produced in a conducive way to the company’s end user’s needs.

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Faculty Supervisor:

Eyal de Lara

Student:

Alaa Eid Abdulaal

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Mapping, geochemistry and mineralisation of the Laird Lake area, Red Lake, Ontario

Shear zone-hosted, or orogenic, gold deposits are a significant mineral resource in the Superior Province of Canada. This study will investigate the nature and genesis of gold mineralisation in the Red Lake area of the Uchi subprovince. Recent exploration by Bounty Gold Corp. has identified Au mineralisation in the Laird Lake area close to the giant deposits of Red lake. This study will characterise the nature and tectonic setting of the host rocks to the mineralisation in order to provide a framework for subsequent studies into the Au-bearing fluids themselves. The mineralisation will be investigated using a combination of mapping, petrology, alteration studies and isotope work (Sm-Nd, O and H). Results from this study will be compared to orogenic gold deposits in Canada and Australia leading to significant advances in our understanding of this deposit type and the development of new exploration models.

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Faculty Supervisor:

Peter Hollings

Student:

Brigitte Gelinas

Partner:

Bounty Gold Corp

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

Lakehead University

Program:

Accelerate

Mathematics Mapping project

To support the development of a developers’ toolkit for educational digital applications that use mathematics content, Erudite Science is creating a library of mathematics content and functions. Because mathematics is such a vast field, typical application functions such as search, manipulation, and inference, frequently return irrelevant results. The search process can be facilitated through the use of semantically structured resource stores. The Mathematics KnowledgeMap project will develop a knowledge representation model that offers the logic behind the organization of information for our mathematics content retrieval system. The representation model will feed into an associative index that facilitates search and information retrieval within mathematics curriculum resources. The resulting index is designed for use by Erudite Science’s content management system. The intern will perform content analysis of the mathematics curriculum documents, and contribute to the documentation and semantic graphing of the mathematical domains, learning expectations and problem constraints represented within the Ontario and Quebec mathematics curricula.

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Faculty Supervisor:

Anna Sierpinska

Student:

Hadas Brandes

Partner:

Erudite Science

Discipline:

Mathematics

Sector:

Digital media

University:

Concordia University

Program:

Accelerate

An Integrated GPS/INS/Visual Positioning System for Head-Mounted

The Recon Jet is an eyewear that is targeted towards cyclists and runners. The Recon jet is attractive because it displays the athlete’s performance, such as maximum speed and acceleration in real-time using the Recon Jet h ads-up display technology. The current Recon Jet has a GPS receiver and onboard sensors that track the athlete position, and velocity, and displays the athlete’s ride data on a map. The current Recon Jet GPS receiver and onboard sensors have poor positioning accuracy of the athlete at times when GPS receiver signal reception is lost. This work proposes using a camera that is already on board of Recon Jet to better estimate the athlete position. The camera captures images of landmarks in the environment during the athlete ride. The relative shift of these landmarks captured in different images can be used to better estimate the athlete’s position and velocity.

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Faculty Supervisor:

Edward Park

Student:

Ahmed Arafa

Partner:

Recon Instruments Inc.

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Enzymatic hydrolysis of wheat straw derived xylo-oligomers stream into monomeric sugars Phase II

The proposed research project is around conducting feasibility studies on the purification and conditioning of industrial hemicellulosic C5 sugars from a number of potentially commercial wheat straw liquor fractions. The research will propose experiments where data for the ultimate evaluation of enzymatic hydrolysis vs. a selected comparative list of acid hydrolysis can be included. The purpose is in acquiring a detailed analysis of the potential monomeric sugars. With one representative product, we would also like to gain a preliminary understanding regarding the efficacy of enzymatic hydrolysis of a soluble wheat straw xylan stream. The end goal of this potential collaboration is to compare dilute acid to enzymatic hydrolysis and identify downstream impacts on proprietary catalytic hydrogenolysis conversion processes

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Faculty Supervisor:

Jack (John) Saddler

Student:

Jinguang Hu

Partner:

S2G BioChem

Discipline:

Forestry

Sector:

Chemicals

University:

University of British Columbia

Program:

Accelerate

Enhanced Storage Systems in IOS and Analytics platforms

The internship will be divided into two parts (4 months each). In the first half, I will be working with Freshbooks´ IOS product. They currently use apple’s data storage called Core Data. It’s an internal data storage system that is built-in to the phone, and allows the application to work without an internet connection. I will be evaluating other systems like Realm and Couchbase Lite to find out if they suit the product better than the existing system that is being used. One of the key deliverables will be a simple implementation of an alternate storage system. In the second half I will work with the Analytics team, which is in the inception stage. I will be evaluating big data stores that can be used to collect and store product and user data. As data accumulates, there will be a need to process it and derive intelligent metrics from it. Example: Which customer-facing feature is the least used? Using results of such analytical queries the invoicing product suite can be sharpened to suit users better.

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Faculty Supervisor:

Anthony Bonner

Student:

Harsha Balasubramanian

Partner:

FreshBooks

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

3D object detection and pose estimation using RGBD cameras

3D object detection and pose estimation (ODPE) is an important area in computer vision, which has many real world applications such as robotics and augmented reality. Estimating an accurate pose from RGB cameras alone is challenging. Given the increased popularity of RGBD sensors, such as Microsoft Kinect, we propose a hybrid method for ODPE based on both RGB and depth (3D surface) information. The additional depth information is expected to provide significant improvements in both speed and accuracy of the resulting system. The system will be evaluated on robotics and augmented reality applications, which are areas of strategic importance for Epson and as well as areas of active research in academia.

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Faculty Supervisor:

Sven Dickinson

Student:

Liwen Xu

Partner:

Epson Canada Ltd

Discipline:

Computer science

Sector:

Advanced manufacturing

University:

University of Toronto

Program:

Accelerate

IMMERSe- To and From the whiteboard: Supporting whiteboard transitions in a design workflow.

Designers often turn to traditional or digital whiteboards (i.e., SMART Kapp) during meetings to discuss designs created in complex design software (i.e., AutoCAD). However, the transition of content from these advanced tools to and from the whiteboard can be highly disruptive to the overall sense of immersion in the design task. For instance, reproducing a design on the whiteboard for a meeting and afterwards documenting the discussed changes can be time consuming, annoying, and a potential source of inaccuracy. This project aims to improve the integration of the whiteboard with complex design tools through an observational study of designers transitioning content to and from whiteboards. Our industry partner (SMART Technologies) will benefit by understanding the potential for the next-generation of its SMART’s Kapp dry-erase system to be better integrated with existing advanced design tools, while maintaining the ease of use of a traditional dry-erase board.

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Faculty Supervisor:

Neil Randall

Student:

Danniel Varona-Marin

Partner:

SMART Technologies

Discipline:

Engineering

Sector:

Digital media

University:

University of Waterloo

Program:

Accelerate

Re-architecture of Sidefx.com

This proposed research will create a corporate website as well as content management system, which will be developed at and for Side Effects Software. The main objectives of this applied research are (1) redesign the corporate website and services attached; (2) ensure the security, reliability, and scalability of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the performance of the resulting data. With the participation of the intern in the design and implementation of the system, the company will benefit by being able to manage their web content and communicate with their clients with greater efficiency and reliability.

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Faculty Supervisor:

Alan Rosselet

Student:

Pirave Eahalaivan

Partner:

Side Effects Software

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Treatment and Recovery Monitoring of Post Traumatic Brain Injury (TBI) Symptoms

Traumatic Brain Injury (TBI) is a significant health problem mainly because of its plausible prolonged sequelae and lack of objective measures for recovery. There are usually some disabling persistent post-TBI symptoms (mostly neurological) that do not respond to the current clinical and physical rehabilitation. This proposal aims to investigate the effect of a promising treatment for persistent post TBI symptoms, and to monitor TBI patient?s recovery by an objective technique along with standard clinical assessments. The treatment tool is the application of repetitive Transcranial Magnetic Stimulation to the dorsolateral prefrontal cortex of the brain. The treatment efficacy and monitoring TBI patients? recovery will be objectively assessed using Electrovestibulography; this will be in parallel with clinical and standard assessments. The proposed research has the potential to lead to a treatment and objective monitoring protocol that would provide a much faster, more economical and more efficient treatment method than the current techniques.

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Faculty Supervisor:

Zahra Kazem-Moussavi

Student:

Grant Rutherford

Partner:

Manitoba Public Insurance

Discipline:

Engineering - biomedical

Sector:

University:

University of Manitoba

Program:

Accelerate

Strategic asset allocation from a Canadian investment perspective

The project ? Strategic Asset Allocation from a Canadian Investment Perspective ? will focus on the efficient allocation design for a Canadian investor. This will be achieved throughforecasting of long-term (5-10 years) expected returns of Canadian fixed income and equities, as well as US and global equities. The forecasts mostly rely on economic/fundamental analysis such as the projections of inflation, GDP growth, dividend yield, etc. There is extensive literature discussing whether the method of simple long term historical average can beat more sophisticated methods such as regression, building block and sum of parts. Empirical evidence will be collected and compared by the intern to study which method is more effective in terms of efficient asset allocation from the perspective of a Canadian investor. The research will enhance the asset allocation process at Highstreet Asset Management, the partner, and benefit their clients. Furthermore, this research can contribute to the overall understanding of Canadian capital markets and how differently they may behave in the future from the past, especially with regard to the potential impacts of global economic factors.

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Faculty Supervisor:

John Knight

Student:

Yufeng Wang

Partner:

Highstreet Asset Management Inc.

Discipline:

Economics

Sector:

University:

Western University

Program:

Accelerate

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