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

Study of vacuum-microwave drying (VMD) of late life fruits and vegetables

Fruit and vegetables are highly perishable commodities due to their high moisture content (around 80%) that deteriorate over a period of time if improperly handled. The uneaten food largely ends up in landfills, where it contributes to accumulating waste and creates methane, a powerful greenhouse gas. To recover the food waste and generate new value streams it is essential to first stabilize the food and prevent deterioration or spoilage.
To decrease the moisture content of a material, drying is required. A lower moisture leads to a decrease in the free water available for microbial activity. Consequently, spoilage micro-organisms are inactivated. Vacuum-Microwave drying (VMD), an emerging food dehydration method, involves incorporating microwave radiation in a conventional vacuum dryer for heating and evaporation of moisture instead of heating by conduction and convection. Compared to other techniques, VMD can greatly reduce the drying time without quality degradation. The process conditions required for optimal drying requires optimization studies for identifying the appropriate operating pressure and microwave power profiles, as well as batch size. Hence, the objective of the project is to reduce the drying time with maximum quality retention to the selected products used.

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Faculty Supervisor:

Alex Martynenko

Student:

Sai Kiran Reddy Challa

Partner:

Beyond Food

Discipline:

Engineering - other

Sector:

University:

Dalhousie University

Program:

Accelerate

Epigenetic effects of smolt-to-adult rearing in Atlantic Salmon

Stocking remains an important component of managing and conserving Atlantic Salmon populations, but it also has the potential to cause negative effects to wild populations. To understand the cause of these effects and the potential consequences of using a smolt-to-adult supplementation approach we will use cutting edge technology to investigate epigenetic changes in captive reared salmon. Epigenetic changes do not alter the genetic makeup of the fish but cause changes in the way genes are expressed which can affect their ability to survive. We will compare epigenetic differences between salmon raised from smolt-adult in a hatchery with wild fish as well as changes if these changes are observed in their offspring. The results of this research will help assess the risks of smolt-adult supplementation to wild populations and help improve captive rearing protocols to reduce impacts to wild populations.

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Faculty Supervisor:

Tommi Linnansaari;Louis Bernatchez

Student:

Kyle Wellband

Partner:

Collaboration for Atlantic Salmon Tomorrow Inc.

Discipline:

Biology

Sector:

Agriculture

University:

Program:

Accelerate

Molecular characterization, autogenous vaccine manufacturing and vaccine potency studies of two pathogenic Avian Reovirus (ARV) field isolates from the Province of Alberta – Part 2

Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide passive immunity to the chicks. As local strains have been found to be different from commercial vaccine strains, protection can only be achieved with vaccines made from local strains. The proposed studies will lead to the characterization of existing ARV field strains, the local development of antigen production protocols and potency studies for two ARV field isolates to be included in an autogenous vaccine for the poultry farmers in Alberta.

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Faculty Supervisor:

Faizal Abdul-Careem

Student:

Victor Palomino-Tapia

Partner:

Institute of Applied Poultry Technologies

Discipline:

Epidemiology / Public health and policy

Sector:

University:

University of Calgary

Program:

Accelerate

Modeling Default Risk for a Small Lender using Machine Learning

Individuals with limited or poor credit history are often unable to access credit from traditional sources such as banks. While some alternative lenders will provide credit to such individuals, these lenders typically lack reliable sources of information which can be used to accurately assess the risk that the loans they make will not be repaid, and thus tend to charge very high rates of interest to compensate for the uncertainty involved on such loans. This project aims to design a system that lenders can use to collect meaningful data about their customers, and then analyze this data for the purpose of making decisions about lending. By enabling the lender to make more accurate decisions about the risks entailed in their lending practices, this project can ultimately make it possible for lenders to offer more loans to customers with limited or poor credit history at more affordable rates.

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Faculty Supervisor:

Brennan Thompson

Student:

Dalia Shuldiner

Partner:

FIIN INC

Discipline:

Economics

Sector:

University:

Ryerson University

Program:

Accelerate

Developing Foodways and Gardening Strategies for the L.M. Montgomery Museum & Literary Centre

This project will complete an urgently needed feasibility study linking researchers and graduate students from the University of Guelph with the Lucy Maud Montgomery Museum and Literary Centre (LMMMLC) in Norval. Together, this team of researchers and community partners will define current best practices in museum design to create a plan for the LMMMLC to use in developing an innovative educational facility in Ontario that will commemorate both Lucy Maud Montgomery’s legacy and celebrate the history of women in Canada. This feasibility study is the vital first step in the LMMMLC’s vision to develop the Norval site into a globally-recognised museum.

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Faculty Supervisor:

Linda Mahood

Student:

Kesia Kvill

Partner:

Heritage Foundation of Halton Hills

Discipline:

History

Sector:

University:

University of Guelph

Program:

Accelerate

Centre for Operations Excellence Industry Projects 2019

The Centre for Operations Excellence Industry Projects 2019 consists of seven sub-projects sponsored by five different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include Extracting data from unstructured text of NOTAMs to assess relevance (Boeing 1), Developing a fix effectiveness engine to perform data-driven predictive maintenance (Boeing 2), Initial Claim Routing Rules Optimization for Worksafe BC (WSBC), , Optimizing Production of Clean Coal Products for Teck Resources (Teck), A Data Driven approach to Comparing Site Costs and Evaluating Cost Performance for Teck Resources (Teck), Developing personalized rewards to increase emotional loyalty among London Drugs LD Extras members (London Drugs), and Authority: Rate Setting and Workforce Planning Scenario Analyser (Pacific Pilotage Authority)

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Faculty Supervisor:

Steven Shechter

Student:

Apurv Tyag;Ximeng (Ivy) Zhou;Jianqiao (Jake) Zhang;Qiuyue (Lola) Jiang;Rajat Dubey;Tim Burger;Utkarsh Misra;Kemal Baris Tan;Wei Cheng (Bert) Li;Hsiu-Chieh (Beryl) Lee;Yibai (Beth) Li;Chengyu (Doris) Liu;Hasti Hosseinizand;Kaushik Mukherjee;Nuo (Stephan) X

Partner:

Teck Resources Limited

Discipline:

Business

Sector:

Information and cultural industries

University:

University of British Columbia

Program:

Accelerate

Operationalizing Medical AI: Intelligent Health Support and Devices

There is more to Artificial Intelligence than the algorithm. Intelligent systems must also consider how data is acquired, trade-offs between algorithmic approaches, and what action is taken based upon algorithmic decisions. Lunar Medical, Inc. performs research and development in the area of intelligent and operational space medicine. This internship will investigate the full range of necessary components that make up intelligent health support and devices for the objective of operationalizing medical artificial intelligence. The intern will investigate medical advisory systems, decision support algorithms, and external defibrillators. Outcomes will include verification and validation of advisory medical algorithms and a prototype intelligent defibrillator. The overall objective is to provide experience and insight to medical AI developers to improve the algorithms for systems and operations.

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Faculty Supervisor:

Reza Samavi

Student:

Ama Simons

Partner:

Lunar Medical Inc.

Discipline:

Engineering - biomedical

Sector:

Health care and social assistance

University:

McMaster University

Program:

Accelerate

Development of a model for computational sea ice monitoring – Year Two

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities in sea ice modeling, calculating parameters of ocean interaction with sea ice and designing algorithms for satellite data processing and analysis. Mathematical methods would be used to distribute the geographic region of interest to various processors and thus minimize the computational time. By linking remote observations and modeling efforts, the outcomes of this research will represent a step change in capabilities for operational sea ice forecasting and monitoring. The proposed project fulfills C-CORE research goals as the world leading organization in sea ice and remote sensing solutions to provide timely and highly accurate ice information to the off-shore industry. The project will greatly contribute to the existing practices of sea ice monitoring because it addresses needs in various industrial and scientific applications.

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Faculty Supervisor:

Ronald Haynes

Student:

Siva Prasad

Partner:

C-CORE

Discipline:

Statistics / Actuarial sciences

Sector:

University:

Memorial University of Newfoundland

Program:

Elevate

Geometallurgical Simulation and Multicriteria Risk Evaluation

The evaluation of mining projects depends on modern computational techniques. There is a demand for increasingly sophisticated techniques, due to environmental considerations and the drive toward increasingly complex ores. Without these techniques, projects may be wrongfully held back or abandoned, leading to severe socioeconomic consequences in the surrounding communities. Conversely, mining projects may be wrongfully approved, causing unfortunate environmental and socioeconomic consequences. Engineers, geologists and other experts may indeed be pressured to support ill-fated projects, despite their technical opinions; yet they rely on the rigour of their methods to defend their conclusions. The current proposal consolidates multidisciplinary perspectives within a new computational tool for mining project evaluation. It extends geostatistical techniques, by incorporating system dynamics (in the form of discrete event simulation) and the behaviour of financial decision-makers. Behavioural finance simulation is an innovative approach to integrate the technical, environmental and socioeconomic risks that are inherent to mining projects.

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Faculty Supervisor:

Alessandro Navarra

Student:

Javier Alejandro Órdenes Alegría

Partner:

Watts, Griff and McOuat Limited

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

McGill University

Program:

Accelerate

Fish passage and the importance of sea-run brook trout in small coastal watersheds in Prince Edward Island

Diadromous native salmonid species in coastal areas have been impacted by a multitude of factors including poor fish passage for over a century, and by an introduced salmonid, the rainbow trout. The overall goal of this study is to examine the impact of fishway improvement and anadromy, or the lack thereof, on brook trout populations. This research will provide data to inform coastal restoration efforts, particularly fish passage/fishway design, and generate new knowledge useful to the assessment environmental flows and the impacts of the introduction of non-native fish species.

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Faculty Supervisor:

Michael R van den Heuvel

Student:

Hilary Shea

Partner:

PEI Watershed Alliance

Discipline:

Biology

Sector:

Management of companies and enterprises

University:

University of Prince Edward Island

Program:

Accelerate

Heavy Rare Earth Elements: New Insight into Mineralogical Parameters That Impact Mine Processing – Year two

Current Heavy Rare Earth Element (HREE) processing techniques are expensive, environmentally-challenging, and slow. Kinetic models predict that the rate of acid permeation of a mineral is the rate controlling step. Therefore, permeation rate controls the acid quantity and residency time of the mineral in the acid bath; impacting costs. Kinetic models are based on structural assumptions including the uniform distribution of elements within a mineral. This study proposes to employ atom probe tomography on the HREE-mineral gadolinite: an ore mineral in the resource at Strange Lake, Quebec. TO BE CONT’D

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Faculty Supervisor:

Desmond Moser

Student:

Natalie Pietrzak-Renaud

Partner:

Juniper Associates Ltd

Discipline:

Geography / Geology / Earth science

Sector:

University:

Western University

Program:

Elevate

Understanding mixed-severity fire regimes, their dynamics and their resilience to climate change in the southern Alberta Foothills – Year two

Mounting evidence shows that boreal and mountain forests are not solely driven by high severity fires that kill most of the above-ground vegetation (i.e. stand-replacing fires). Indeed, wildfire severity can be highly heterogeneous, leading to spatially complex forest landscapes, with multiple species and uneven ages. Many existing fire dynamics models do not explicitly consider the complex interactions and feedbacks between fire, vegetation and climate, which drive mixed-severity fire regimes. Yet such a model is crucial both for immediate landscape management and to manage for climate change. This project aims at building a spatially explicit, landscape dynamical model of mixed severity fire regimes using the SpaDES (SPAtial Discrete Event Simulator) framework. We will build upon an on-going Mitacs Accelerate project, during which model development and data compilation have been initiated, and take it further to consider climate change impacts on wildfire patterns and vegetation dynamics, but also changes in ecosystem stability and resilience. Our mixed-severity fire (MSF) model will be calibrated and validated on a study area in the southern Alberta Foothills, where evidence of MSF regimes exists and is being investigated further by another Mitacs Elevate project that will supply data for model calibration and validation.

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Faculty Supervisor:

Eliot McIntire

Student:

Ceres Barros

Partner:

Foothills Research Institute

Discipline:

Forestry

Sector:

Agriculture

University:

University of British Columbia

Program:

Elevate

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