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

Sustainable and Resilient Neighbourhood Design

This research investigates how a neighbourhood in London, Ontario may be designed to be both sustainable and resilient, where “resilient” means capable of dealing with future shocks and stresses. One major future shock/stress will be climate change impacts, such as extreme temperature or precipitation. This research will also conduct preliminary energy modelling of a simplified community using both current and future London temperatures.

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Faculty Supervisor:

Dr. Chris Kennedy

Student:

Mariko Uda

Partner:

S2E Technologies Inc.

Discipline:

Engineering - civil

Sector:

Energy

University:

University of Toronto

Program:

Accelerate

Investigating process conditions and product quality in the recycling of used horse bedding

Typical horse bedding in BC consists of 90% woody materials and 10% hay and manure. Recycled bedding product has several advantages when compared to standard wood fibre bedding. Further densification into wood pellets with these recycled wood fibers is desired. This study is conducted to determine the efficiency of pathogen removal during the drying process of GreenScene Agritek Inc.’s pilot plant, and investigate the pelletization process. The process time-temperature conditions will be monitored and recorded. Final products will be sent to microbiological labs for testing the specific pathogens (bacteria, virus and mold spores) that could be harmful to horse and human health. These dried wood fibres will also be densified into wood pellets, whereby different process conditions will be studied. The results from this research will help GSA to better manage the drying process and make high-quality products that are safe to use and achieve economic benefits.

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Faculty Supervisor:

Dr. Anthony Lau

Student:

Xiao He

Partner:

GreenScene Agritek Inc.

Discipline:

Engineering - chemical / biological

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

Property evaluation of tamarack veneer and plywood

Tamarack is deemed as an underutilized species. Recently York North Veneer Products Inc. (YNVP) received an inquiry on use of Tamarack veneer as sheathing materials in construction of light frame walls in Japanese market with an aim to replace Russian larch and Douglas-fir veneer. To meet this demand, YNVP working with UNB's Wood Science and Technology Centre, plan to recruit a PDF to conduct the following research: 1) gather the information on the physical and mechanical properties of tamarack plus the reference species (Russian larch and Douglas-fir); 2) test these properties of veneer; 3) develop sorting criteria for veneer quality according to the Japanese and American standards; and 4) fabricate plywood using aforementioned three species in the outermost layers with optimized the layups of tamarack plywood by reducing the thickness of the outer layers, while still maintaining the necessary strength properties.

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Faculty Supervisor:

Dr. Meng Gong

Student:

Ling Li

Partner:

York North Veneer Products Inc.

Discipline:

Forestry

Sector:

Forestry

University:

University of New Brunswick

Program:

Accelerate

Statistical Perspectives on Drug Safety Screening using Spontaneous Reporting Data and Electronic Health Records

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as well as consider the issues of drug-drug interactions in SR data. Next, we will address the analysis of EHR data from two perspectives. First, standard approaches to analyze time-to-event data can be employed; however, misclassification of the study variable (misdiagnosis) can shift ADR risk estimates. We will use an internal validation sampling approach to derive adjusted methods of estimation to minimize this effect. Second, we propose to model EHR data from a multiple failure with competing risks framework. All approaches will be investigated through the use of large scale simulations. Finally, Risk Sciences International (RSI) will benefit from the development of a breadth of algorithms that can be used to search from potential problematic drugs in both types of data. Screening these data sets can be marketed to regulatory businesses in government or the private sector.

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Faculty Supervisor:

Dr. Patrick J. Farrell

Student:

Christopher Gravel

Partner:

Risk Sciences International

Discipline:

Mathematics

Sector:

Pharmaceuticals

University:

Carleton University

Program:

Accelerate

Manipulation of Phytohormonal Production by Methylobacterium extorquens

TerraVerdae Bioworks is working with a type of bacteria that is able to metabolize methanol, converting it into a bioplastic. TerraVerdae is focusing its commercial operations on bioplastic production but is interested in identifying other bioproducts that can also be produced. It is known that this type of bacteria forms a symbiotic relationship with plants, where it feeds off of waste methanol produced by plant cells, converting it into metabolites that help the plant grow. Through this internship, we would like to measure the production of two plant hormones, an auxin and a cytokinin, by TerraVerdae's bacterial strain. We also intend to explore whether we can increase the production of these hormones by genetically manipulating the expression of two genes that we have targeted. Finally, given that nitrogen is known to influence bioplastic production by the bacteria, we would like to determine how manipulating the amount of nitrogen made available to the bacteria affects hormonal production.

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Faculty Supervisor:

Dr. Michael Deyholos

Student:

Ryan McKenzie

Partner:

TerraVerdae BioWorks Inc.

Discipline:

Biology

Sector:

Environmental industry

University:

University of Alberta

Program:

Accelerate

A novel passive wireless sensor for the measurement of AC/DC electric field in the vicinity of high voltage apparatus

The existing technologies used for monitoring the voltage and the electric field in the vicinity of the high voltage devices are bulky and expensive. On the other hand, maintenance of the monitoring devices requires specific safety precautions. In this research project, a small and inexpensive electric field sensor is proposed. They are passive and require no source of power. This eliminates the need of changing the batteries and direct contact to the high voltage apparatus. The interrogation system will be wireless that makes the distant measurement possible. This will increase the safety of the personnel and facilitate distributed measurements on different distances from the high voltage device.

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Faculty Supervisor:

Drs. Behzad Kordi & Douglas Thomson

Student:

Mana Yazdani

Partner:

Manitoba Hydro

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

University of Manitoba

Program:

Accelerate

Optimal Planning of Microgrids under Uncertainty

Utilizing advanced tools for optimal planning of Microgrids with high renewable energy penetration. Our models would be robust to handle uncertainty in supply, demand and technological changes. The inputs to our model would be demand, supply data (meteorological data) and technological costs for the specified location for the past. Statistical analysis of the data would empower us to develop robust probabilistic models to encompass the uncertainty in supply (wind and solar) and demand. The outcome shall be an optimal configuration of the microgrid with the number of PV, wind turbines, micro-hydro, bio mass, and storage (battery, pumped hydro etc.) to be installed to have a reliable power supply(reliability is specified by expected energy not met) in the community. Life cycle costs and other economic and environmental aspects will also be revealed as a part of the study. This would enable S2E to perform a detailed and comprehensive feasibility analysis and planning for the sustainable community.

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Faculty Supervisor:

Dr. Kumaraswamy Ponnambalam

Student:

Apurva Narayan

Partner:

S2E Technologies Inc.

Discipline:

Engineering - other

Sector:

Energy

University:

University of Waterloo

Program:

Accelerate

Analyzing User Reviews of Mobile Applications using Natural Language Processing

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam detection. The result of the research will be developed into a deliverable solution. One use of the review analysis system is to retrieve valuable information for the game development team in order to improve the game. It can also be used as a competitive intelligence tool to identify strength and weaknesses of competing products. EA All Play, the partner organization, is expected to be able to extract information about a given mobile game in an efficient and timely way.

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Faculty Supervisor:

Dr. Graeme Hirst

Student:

Yunxing (Henry) Zhang

Partner:

Electronic Arts

Discipline:

Computer science

Sector:

Media and communications

University:

University of Toronto

Program:

Accelerate

High-Resolution 3D Mapping and Modeling of Solar Neighbourhood Potential

This research project will be focused on the development of a new software technology in order to model and map maximum solar energy potential on the rooftops and facades of buildings with high spatiotemporal resolution, with particular emphasis on optimal community design for smart net-zero energy solar communities. The goal of this project is to increase our assessment ability of solar energy utilization and planning support for clusters of different types of buildings (such as mixed use communities in which different forms and functions of buildings will be considered). Appropriate parameters will be identified that are important for estimating community based solar energy availability and for the development of a comprehensive open source GIS software tool coupled with EnergyPlus in order to enhance, merge and utilize the strong capabilities of the two software tools for the performance of solar simulations in a 3D geospatial context. This project will contribute to the feasibility study to our partner organization S2E Technologies Inc., as it will create a new software tool in order to model and map the case study area to determine the best locations for solar PV installation as well as provide guidelines for the placement of buildings within the neighbourhood in order to minimize shading effects.

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Faculty Supervisor:

Drs. Alan Fung & Songnian Li

Student:

Annie Chow

Partner:

S2E Technologies Inc.

Discipline:

Engineering - mechanical

Sector:

Energy

University:

Ryerson University

Program:

Accelerate

Treatment of Statistical Data in the Aircraft Deicing Industry

Every year, all planes must be deiced prior to airbourne when outside temperatures hit the cold seasons (fall to spring), in order to ensure a safe takeoff. Currently, trends in the deicing industry are still leaning towards having all operation informations logged down on paper slits. This approach is consuming in terms of time, material and cost, given that it can be done more efficiently with today’s advanced technology. Wiseleap Solutions Inc. is a firm specialized in application development and analytics solutions that has developed an application to respond to this business need: Deicing Manager is an online tool that streamlines the capture, storage and analysis of all information needed to manage deicing operations. However, in order to measure the advantages its technological product brings, Wiseleap must not only identify the advantages of the product like unabling paperless operations, but also needs to quantify all cost and time savings generated by it in terms of decrease in deicing fluid waste used, human error reduction, increased quality control, etc. The project research intern is mandated to bring in his/her knowledge and expertise in statistical data analysis to respond to this problematic Wiseleap is faced with. By analyzing the historical deicing data collected by the product and mainly translating the identified waste in the current deicing fluid concentration usage into quantifiable cost savings opportunities, this is how the intern helps Wiseleap in measuring the added value of its product Deicing Manager. Wiseleap’s clients, by better understanding its deicing operation behavior through the data captured by Deicing Manager, will be more confident when negotiating for pricing transparency with third party deicing service providers.

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Faculty Supervisor:

Dr. Denis Larocque

Student:

Lina Giang

Partner:

Wiseleap Solutions Inc.

Discipline:

Business

Sector:

Information and communications technologies

University:

HEC Montréal

Program:

Accelerate

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

The research will document process knowledge that is currently held by individual employees. The main objective is that this personal knowledge about processes can be shared and used to create standardized documents which, as a result, can improve coordination and collaboration. The documentation work will include reviewing existing organization's documents, engaging personnel in series of interviews, identifying the relationships between processes and performing analyses on the findings. As an output to this research, Eclipse will have a detailed map of selected processes and a document describing each process step by step and its interactions with other steps, and a software implementation of the process map.

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Faculty Supervisor:

Drs. Rob Duimering & Darrell Raymond

Student:

Geovania Pimenta & Ponle Salu

Partner:

Eclipse Automation

Discipline:

Business

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Synchronization between cloud database and mobile applications

The project will provide FarmAtHand – the partner organization a scalable and secure solution for making applications on multiple mobile platform like iOS, Android, and Windows Phone. With this solution FarmAtHand will benefit by receiving brand new mobile applications on iOS, Android, Windows Phone, and websites on which they can implement their farming approach. The above applications and websites can be use simultaneousely by many users from different locations without the risk of confliction.

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Faculty Supervisor:

Dr. Ralph Deters

Student:

Nam Hoang

Partner:

Farm At Hand Inc.

Discipline:

Computer science

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

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