Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Evaluation of Application of Shredded Tiresas Insulation Layers for Highways in Alberta

Stockpiles of scrap tire grow larger every day in Alberta due to heavy industry. Safe and healthy disposal of scrap tires requires costly municipal landfill space. Using tire derived aggregates (TDA) for construction applications such as road embankment and insulation layers is of great attention and interest to Alberta’s government. Frost penetration beneath the pavement causing frost heave in winter followed by spring thaw weakening is one of the factors that affect the base layer thickness in cold climates. Reducing frost penetration into the pavement can enable design engineers to use moderate base layers, hence limit depletion of natural aggregate resources. Thermal resistivity of TDA is roughly eight times greater than for typical granular layer. Thermal properties of TDA, its low cost and availability make this product a great replacement for costly insulations such as Styrofoam boards. In this study, the performance of TDA as a road insulation layer will be compared to bottom ash and Styrofoam insulation layers. Frost heave and load bearing of the insulated sections will also be monitored and evaluated

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Faculty Supervisor:

Alireza Bayat

Student:

Partner:

University of Alberta

Discipline:

Computer science

Sector:

Education

University:

University of Alberta

Program:

Elevate

Centralized and Decentralized Waste and stormwater Treatment Intensification

Carbon, nitrogen, phosphorus and micropollutants are primary environmental stressors that pollute lakes, drinking water wells, and streams. They originate from human activities and come through point and non-point sources. In the case of point sources, wastewater treatment plants (WWTPs) must remove these stressors before discharge into water bodies. Driven by population increase and climate change, wastewater treatment objectives have become more stringent to ensure clean water, requiring extensive removal of nutrients and other pollutants. These objectives demand more footprint and advanced treatment technologies resulting in increased energy use and higher wastewater treatment operating costs. These costs, coupled with sustainability requirements, provide an impetus for more energy-efficient and intensified wastewater treatment processes and technologies. Thus, the project proposed developing and testing a cluster of waste and stormwater process intensification technologies to treat carbon, nutrients, and emerging contaminants at a lower cost and smaller footprint.

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Faculty Supervisor:

Martha Dagnew;Andreas Heyland;Franco Berruti

Student:

Partner:

Muddy River Technologies;Bishop Water Technologies Inc.;MW Technologies;Thames River Phosphorus Reduction Collaborative

Discipline:

Engineering

Sector:

Agriculture; Other services (except public administration); Professional, scientific and technical services

University:

The University of Western Ontario; University of Guelph

Program:

Accelerate

A Prototype of Integrated RFID and BIM 360 for Automated Site Inspection

In this research proposal the application of a sensory technology such as Radio Frequency Identification Device (RFID for improving construction site inspection is investigated. For that, the joint use of RFID and Autodesk BIM 360 platform is investigated in order to improve the site inspection by providing more automated 3D visualization of the site for the site managers or site surveyors. Also, the possibility of updating the 3D models of the site with information acquired or added during the site inspection is also experimented. This can help to enhance the 3D modeling of the site, while any changes or items added onsite are identified.

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Faculty Supervisor:

Osama Moselhi

Student:

Partner:

Pomerleau

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

Concordia University

Program:

Accelerate

TreeGraSP

Avec le développement en parallèle de technologies de traitement automatique des langues de plus en plus performantes, de théories linguistiques de plus en plus précises et de banque de données de plus en plus riches, il est maintenant plus facile de comparer les langues et d’identifier leurs points communs et leurs divergences. Un défi pour les linguistes computationnels devient donc de faire le pont entre les théories linguistiques et les outils informatiques. TreeGraSP vise à relever ce défi. Ce projet utilise des méthodes statistiques sur de vastes corpus ainsi qu’une théorie linguistique bien formalisée afin de construire une grammaire qui pourra capturer au mieux le sens de langues variées. Au cours de mon stage, je travaillerai à étendre ce projet au français en créant un algorithme qui permettra d’annoter sémantiquement des textes de façon semi-automatique, ainsi que des algorithmes de conversion qui contribueront à l’enrichissement et au partage des données du projet avec la communauté la plus large possible.

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Faculty Supervisor:

François Lareau

Student:

Partner:

Heinrich-Heine-Universität Düsseldorf

Discipline:

Computer science

Sector:

Information and Communications Technology; Artificial Intelligence

University:

Université de Montréal

Program:

Globalink Research Award

Nuclear shell model calculations as input for astrophysical processes

The student will use the interacting shell model to study properties of ground and low-lying excited states as well as the corresponding electromagnetic and weak transitions for nuclei of importance for astrophysical scenarios like the nucleosynthesis in the r-process. For this the student has to learn about the shell model and how to perform and analyze calculations with the shell model code. The student will also learn about both the nuclear physics aspects and the nuclear physics input needed for astrophysical modeling of the r-process.

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Faculty Supervisor:

Chary Rangacharyulu

Student:

Partner:

GSI Helmholtzzentrum für Schwerionenforschung

Discipline:

Physics

Sector:

Other

University:

University of Saskatchewan

Program:

Globalink Research Award

Particle identification using the in-flight fragment separator (FRS) at GSI

The GSI projectile fragment separator (FRS) is a versatile, high-resolution magnetic spectrometer designed to efficiently separate projectile fragments in their mass and nuclear charge. It has been efficiently used in the study of nuclear structure and reaction dynamics with relativistic radioactive heavy-ions over the last few decades. In the present project the intern will learn the basic principles and the technical aspects of FRS. In particular, she will work on the detection and identification of the reaction products using the information of magnetic rigidity (B?), time of flight (TOF), and energy loss (?E). The project will allow the intern to grasp knowledge and working experience on state-of-art radiation detectors and modern experimental techniques for measuring the energy, position, and timing related to nuclear reactions. The project will provide an opportunity for the intern to work in a leading research laboratory in the world and establish networks with international scientists. It will be a valuable addition in her academics and play an important role in deciding future career pathways.

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Faculty Supervisor:

Chary Rangacharyulu

Student:

Partner:

GSI Helmholtzzentrum für Schwerionenforschung

Discipline:

Physics

Sector:

Other; Technology; Life Sciences (not health)

University:

University of Saskatchewan

Program:

Globalink Research Award

Influence of a warm up and protective clothing on exercise performance in cold weather sports.

Outdoor winter sport athletes face unique weather conditions that might include wind, snow and rain. These weather conditions can occur at a variety of air temperatures, ranging from above zero to -20 C. The colder the air temperature the more challenges winter sport athletes face in warming up for competition and then staying warm.
The sports that are affected the most include alpine skiing, cross country skiing and biathlon. In each of these sports, the competitors wear light weight race suits to ensure they have optimal movement, aerodynamics and breathability. Before their competitions athletes use warm up strategies to increase their muscle temperature and increase blood flow to muscles. They do these warm ups in insulative clothing that is worn over their race suits. When they finish their warm ups they have to remove their insulative clothing to prepare for their start. Lab research has shown that skin and muscle temperature decreases quickly with cold air exposure when participants wear light weight non-insulative clothing. Thus, it is likely that winter sport athletes experience a decrease in skin and muscle temperature when they remove their warm ups and wait to start, especially if the conditions are cold, windy or wet.

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Faculty Supervisor:

Michael Kennedy

Student:

Partner:

University of Innsbruck

Discipline:

Physics

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

GRID: Geo-Registry Integrated Datachain

This project will conduct business model validation research for a blockchain prototype developed by Arrowhead Development Company Ltd for the real estate industry. The student intern will collect market research from potential stakeholders of this industry to help the partner organization assess business opportunities and revenue streams as well as informing the launch decision.

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Faculty Supervisor:

Neil Maltby;Jane Fraser

Student:

Partner:

Arrowhead Development

Discipline:

Business

Sector:

Real estate and rental and leasing

University:

St. Francis Xavier University

Program:

Business Strategy Internship

Predicting Reactions with Controlled Errors

Given a group of molecules and a specification of reaction conditions, do chemical reactions occur? If so, what products are produced, and what is their relative abundance? This problem pervades chemistry, with applications in environmental science (e.g., the degradation of pollutants), molecular sensing (e.g., interpreting the results of tandem mass spectrometry), chemical synthesis (e.g., finding efficient ways to synthesize drug molecules), and energy-efficiency (characterizing molecular combustion). Such problems are usually addressed by nearly exhaustive experimental and/or computational characterization techniques, both of which are extremely costly in terms of time, money, and human resources. We aim to use a data-science approach, so that these previous experimental/computational works can be leveraged to make predictions of likely chemical reactive pathways. One important innovation is to make these predictions in a controlled way, with error estimates so that future experimental/computational studies can be focused towards reactions where the model is highly uncertain, and redundant work can be avoided. Other innovations include using reactivity indicators to construct rich molecular representations and representing chemical reaction networks as hypergraphs.

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Faculty Supervisor:

Paul Ayers

Student:

Partner:

Sorbonne Université

Discipline:

Physics

Sector:

Artificial Intelligence; Quantum Science

University:

McMaster University

Program:

Globalink Research Award

Chemical and biological conversion of mussel processing by-products into new value streams in agriculture

Atlantic Canada’s fishery industries have been identified as key sectors where market demand is expected to increase. PEI mussel and shellfish production employ over a thousand employees, and contributes in excess of CAD$60 million to PEI’s coastal and rural communities. Production of Atlantic Canadian shellfish has tripled since 1995 and is expected to continue growing rapidly. Prince Edward Aqua Farms Inc., is one of the largest mussel and oyster producers in North America, generating 9,072 tonnes of mussels annually which results in 2,770 tonnes of solid waste by-products. Waste disposal is a serious economic and environmental burden that can cost the industry upwards of $888,410 each year. Landfill disposal of these by-products may also result in higher greenhouse gas emissions and represent a loss of valuable natural resources. Dalhousie University’s Innovative Waste Management Group aims to work with PE Aqua Farms to identify economically and technically viable pathways to create value from mussel by-product solid waste streams, including composts, biochar, and alternative agricultural liming amendments.

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Faculty Supervisor:

Gordon Price

Student:

Partner:

Prince Edward Aqua Farms Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Modeling Strong Electron Correlation with AC-ERPA

In order to understand how chemical bonds fracture and form, and to predict how electrons rearrange in photoactive materials, one must describe the electron structure of the substances. This requires evaluating a quantum-mechanical model for the system. Unfortunately, accurate quantum-mechanical models require enormous computational resources, and can only be applied for tiny systems. For systems of chemical importance and technological relevance, “single-reference” quantum-mechanical models are used, but these standard methods are often unreliable, and frequently fail catastrophically for important classes of systems, including molecules containing unpaired or weakly-paired electrons and materials containing delocalized electron pairs or strongly localized unpaired electrons. Solving this problem requires extending single-reference methods: the host group (Katarzyna Pernal) has pioneered extensions of the random phase approximation and the adiabatic connection beyond their normal domain (single-reference Kohn-Sham density functional theory). The aim of this visit is to generalize the host group’s techniques to treat strong electron-pairing phenomena (e.g., for describing high-temperature superconductors and chemical catalysis).

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Faculty Supervisor:

Paul Ayers

Student:

Partner:

Lodz University of Technology

Discipline:

Physics

Sector:

Quantum Science; Other

University:

McMaster University

Program:

Globalink Research Award

Advance Generalizability of Graph-based Machine Learning Models for Applications Automotive Metal Forming and Impact

In modern automotive engineering, vehicles are primarily designed in the virtual space to enable a rapid vehicle design process. However, this process is heavily constrained by the time and computational requirements necessary to generate the vast number of simulations needed for vehicle design. Fortunately, modern machine learning (ML) techniques may be used to dramatically accelerate the generation of new simulation results. In this project, several recently developed ML frameworks will be applied to industrially applicable metal forming and impact problems to speed up the vehicle design process. The ML models developed will maintain high accuracy in key performance indicators over a range of geometries, material parameters, and process parameters. The technology developed in this project will underpin the simulation framework that Impact AI is developing to provide its customers with the ability to significantly accelerate impact and stamping simulations as used in the automotive industry.

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Faculty Supervisor:

Cliff Butcher;Kaan Inal

Student:

Partner:

Impact AI

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.