Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Nitrogen use efficiency: How commercial crop inputs and wild oat (Avena fatua) competition can alter crop productivity

Agricultural production of crops requires an intensive amount of inputs that go beyond just planting the seed, such as fertilizers, pesticides and biological inoculants. As the need to produce a greater quantity of crops increases with the population, it is our duty to ensure we are using these inputs efficiently. Our research will examine how commercial products and fertilization strategies common to the Canadian Prairies can influence overall crop productivity within a glasshouse study. We will be able provide knowledge that producers, industry and researchers alike can use to inform decision making surrounding the use of these products and their influence on crop productivity throughout the entire growing season.

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Faculty Supervisor:

Guillermo Hernandez-Ramirez

Student:

Partner:

Corteva Agriscience

Discipline:

Earth science

Sector:

Agriculture; Wholesale trade

University:

University of Alberta

Program:

Accelerate

Probabilistic Transitive Closure of Fuzzy Cognitive Maps: Algorithm Enhancement and Application to Work Integrated Learning

Shopify has a well-developed partnership with universities for a work-integrated Bachelor of Computer Science degree. It is in their best interest to see their student interns successfully transition to the work place. In the application part of this study, we will use a fuzzy cognitive map (that is, a special type of a graph) to represent expert knowledge on determinants of success and well-being of a student intern, Moreover, a relatively new mathematical model – transitive closure – will be applied to analyze this data and compute a set of guidelines for better learning outcomes. As the computation of (probabilistic) transitive closure is computationally very demanding, enhanced algorithms will be developed in the theoretical part of the project.

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Faculty Supervisor:

Mateja ?ajna

Student:

Partner:

Shopify Inc

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Ottawa

Program:

Accelerate

Investigation of uncertainties in hydrological models compared to real hydrological parameters to study groundwater storage variations by gravimetric satellite

This project focuses on considering uncertainties in hydrological models to obtain Groundwater Storage variations (GWS) during the period of April 2002 to June 2017 based on the availability of Gravity Recovery And Climate Experiment (GRACE) gravity data over Canadian Prairies. Moreover, we extract all components of groundwater signals in this area using the least square method in conjunction with three different hydrological models containing WaterGap Hydrology Model (WGHM), Global Land Data Assimilation System (GLDAS) Version2.0 and GLDAS Version 2.1. Then, we compare the performance of the aforementioned hydrological models and real climatological data to mapping groundwater storage variations associated with GRACE data. Finally, we validate the results by several statistically robust techniques and upscale groundwater variations by GRACE at the wells, both whole Alberta and sub-regions of Alberta.

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Faculty Supervisor:

Kalifa Goïta

Student:

Partner:

University West

Discipline:

Sociology

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

MEPOWSS Wastestream Analysis

This project involves the characterization and assessment of a settling and evaporative pond system used to treat wastewater generated by the Melville Potable Water Supply System (MEPOWSS). The plant is currently being upgraded with a change in treatment processes and increased capacity that will impact the ability of the pond system to treat the new wastewater stream. The pond system consists of five pond cells in series, and current influent includes backwash from a greensand-filter and electrodialysis reversal (EDR) waste streams. Once the new plant is operational (late 2019), the influent will include filter backwash and a reverse osmosis (RO) concentrate streams. The primary chemicals of concern in the ponds are arsenic and iron, as they have been shown to be exiting the ponds at concentrations higher than CCME guidelines. TO BE CONT’D

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Faculty Supervisor:

Kerry McPhedran

Student:

Partner:

SaskWater

Discipline:

Engineering

Sector:

Utilities

University:

University of Saskatchewan

Program:

Accelerate

Bioaccessiblilty risk assessment of soil using a continuous on-line leaching method

When soil becomes contaminated, it is important to conduct a risk assessment to determine if there is any risk to humans. One way that humans can be exposed to soil is through ingestion where contaminants are made accessible by the body’s saliva, gastric, and intestinal juices. This concept is known as bioaccessibility, and gives a good indication of how well a contaminant can be absorbed into the bloodstream (where it can exert its toxic effects). My research aims to replicate the body’s conditions in the lab, using a temperature-controlled on-line leaching method. By keeping the soil sample in a small tube, and pumping each gastrointestinal matrix through it, we can obtain bioaccessibility results in a fraction of the time when compared to conventional methods. Through comparison with established batch methods, this project will validate the on-line leaching method using standard reference soils, for faster bioaccessibility risk assessments in the future.

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Faculty Supervisor:

Diane Beauchemin

Student:

Partner:

British Geological Survey

Discipline:

Physics

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

Noble metal nanoparticle plasmonic photocatalysts

Plasmonic catalysis is an emerging technology which holds the promise of utilizing light to facilitate a chemical transformation. Antenna nanoreactor is comprised of a plasmonic core and a transition metal shell in which the plasmonic core can absorb the light and generate the highly energetic electrons (hot electrons) and the transition metal shell receives these hot carriers to facilitate a chemical reaction. Since the interaction of the antenna nanoreactors with light generate the hot carriers, investigation of how these materials interact with light is crucial. The overall goal of this project is to investigate the interaction of light with the antenna reactors with different plasmonic cores (Au, Ag and TiN) in the first step and investigation of the ability of these materials for solar energy conversion, and production of clean and green fuels such as hydrogen via water splitting, and carbon dioxide mitigation in the second step.

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Faculty Supervisor:

Karthik Shankar

Student:

Partner:

Technical University of Munich

Discipline:

Engineering

Sector:

Environmental Science and Technology; Nanotechnology; Green/Alternative Energy

University:

University of Alberta

Program:

Globalink Research Award

Assimilation of different data types with machine learning methods for resource classification

Classification of mineral resources based on geological confidence level is mandated for disclosure by all of the international codes and standards. However, the definition of the “confidence level” is vague in all of these codes mostly because of the fact that every deposit has its own characteristics. This research attempts to establish a method that utilizes advanced statistical methods to quantify this confidence level that transparent and practicable enough so that it can be adopted by the industry. A practical approach to uncertainty quantification task could provide the partner company which is one of the pioneer service company in this field, with an alternative reliable service to provide its clients.

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Faculty Supervisor:

Julian M Ortiz

Student:

Partner:

SRK Consulting (ON)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Characterising and assessing seabird bycatch in expanding Arctic fisheries

Fisheries are an important industry in Canada, particularly in rural communities that depend on marine resources for sustainable economic opportunities. But all fishing imposes environmental costs. In the case of northern fisheries, one cost of concern is the incidental bycatch of seabirds by fisheries. Birds, attracted to bait and discards from vessels, can get ensnared in nets or hooked on longlines. The goal of this project will be to develop mitigation strategies, including applying best-practices to existing gear, modifying gear to reduce seabird entanglement, and develop strategies that minimize interactions between fishers and birds.

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Faculty Supervisor:

Scott Grant;Heather Major;Jennifer Provencher

Student:

Partner:

Nunavut Fisheries Association

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

Memorial University of Newfoundland; University of New Brunswick

Program:

Accelerate

Information Asymmetry in a Fragmented Low-Latency World

This research aims at improving theoretical financial markets models in order to account for the presence of informed traders in a contemporary setting. Despite the fact that privileged information has always been present in various shape or form, theoretical models seemed to be able to account for such informational asymmetry and provide ways to measure it (e.g. Kyle (1985); Easley and O’Hara (1987)). Nevertheless, recent empirical research (Collin-Dufresne and Fos, 2015) has shown that these measures fail to detect the presence of informed trading. We thus wish to investigate the question of whether classic theoretical models are well equipped to capture the salient features of modern financial markets (which are called its “microstructure”). To do so, we will use a high-precision database which records every aspect of Canadian stock trading. TO BE CONT’D

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Faculty Supervisor:

Georges Dionne

Student:

Partner:

TickSmith

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Net Zero Energy Design Trade-offs and Excel Tool for Assessing Net Zero Potential for Multiunit Residential Buildings (MURBs)

Net zero energy building produces as much energy as it consumes, and it has a great potential for energy and carbon reductions. This research will study the design of net zero energy multiunit residential buildings (MURBs), as well as to create a simple Excel tool as an alternative to EnergyPlus for quick assessment. In the previous research, an EnergyPlus model for a real MURB was created and calibrated and strategy for this building to undergo dramatic energy reduction was studied. This project will continue to quantify the trade-offs involved in the design and then create the Excel tool. The partner organizations are among the leaders in pushing the residential development industry to higher energy performance standards. This project will provide comprehensive information relevant to the design of net zero condominiums. TO BE CONT’D

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Faculty Supervisor:

Danny Harvey

Student:

Partner:

EQ Building Performance;Sustainable Buildings Canada

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Smart building data analytics

RealTerm Energy is developing an AI-based solution for predictively optimizing HVAC (heating, ventilation, and air conditioning) systems in smart buildings. A substantial component of this solution is a data analyzer which will mine an enormous dataset to model the operational behaviours of the buildings in different locations around the world.
Based on enormous datasets collected from thousands of sensors during past years in several buildings, this project is aimed to extract patterns and build correlations among various metrics in order to model the behaviour of internal building environment. The ultimate goal is to detect shortcomings in current operational plans of the buildings, and then generate control policies in real-time that will minimize energy consumption according to real-time behaviours of each type of buildings, the architecture of the building, its geographical location, as well as outside weather condition

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Faculty Supervisor:

Kim Khoa Nguyen

Student:

Partner:

RealTerm Energy

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Analyzing Agriculture and Biodiversity Trade-offs in Three Sub-Saharan Countries at the Watershed Scale

With the onset of climate change and an ever-increasing human population, Sub-Saharan Africa faces a three-pronged sustainable development dilemma: how to increase food security while also conserving biodiversity and reducing social inequality. Given the importance of agriculture in Sub-Saharan economies, agricultural intensification and expansion will likely comprise the main course of action to address food security in most Sub-Saharan countries. Yet, agricultural expansion is the leading cause of biodiversity loss around the world and its effects on ecosystems will likely be exacerbated by those of climate change. Thus, from an ecological perspective, one of the greatest challenges will be to identify areas where trade-offs between agricultural development and biodiversity will be greatest. While such efforts are ongoing to ensure the protection of terrestrial biodiversity, less attention is being paid to trade-offs between agricultural development and freshwater ecosystems in Sub-Saharan Africa. TO BE CONT’D

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Faculty Supervisor:

Jan Adamowski

Student:

Partner:

University College London

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

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