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Project Leader(s): 

Postdoctoral fellow: Dr. Clinton Groth, Institute for Aerospace Studies, University of Toronto

Lead faculty member: Dr. Marc Charest, Institute for Aerospace Studies, University of Toronto

Combustion of fossil fuels is responsible for a major fraction of greenhouse gas emissions and the emission of pollutants such as nitrogen oxides (NOx), carbon monoxide (CO), soot, aerosols and other harmful chemical species. Reducing Canada’s dependence on fossil fuels is one of today’s major challenges. To design new pollutant-free combustion devices, improved mathematical models and computational tools for describing reactive flows are required. These models will enable a new understanding of combustion and lead to improved combustor designs and energy systems.

Project Leader(s): 

Dr. Kim McAuley, Queen's University

Project team: 
Dr. Thomas Harris, Queen’s University
Dr. James McLellan, Queen’s University
Dr. James Ramsay, McGill University
Dr. David Campbell, Simon Fraser University
Dr. Amos Ben-Zvi, University of Alberta
Dr. Carl Duchesne, Université Laval
Funding period: 
April 1, 2021 - March 31, 2021

Engineers use mathematical models to describe the production of plastics and other chemicals. The models contain unknown parameters that are estimated from plant data. In the past year, the research team analyzed several criteria that modelers use to decide how complex or how simplified their models should be. They showed that one popular model-selection criterion, the corrected Akaike Information Criterion, tends to select very simple models, and that another, the adjusted coefficient of determination, tends to select models with many parameters.

Project Leader(s): 

Dr. Clinton P.T. Groth , University of Toronto

Project team: 
Dr. Anne Bourlioux, Université de Montréal
Dr. W. Kendal Bushe, University of British Columbia
Dr. Cecile Devaud, University of Waterloo
Non-academic participants: 
Funding period: 
1 April 2021 - 31 March 2021

This research project looks to develop computer programs which will enable the study of reactive flows and combustion processes in gas turbine engines. Combustion is inherently a multi-scale process that involves a wide range of complicated physical/chemical phenomena, as well as a wide range of spatial and temporal scales.

Project Leader(s): 

Dr. Mark Coates, McGill University

Project team: 
Dr. Nando de Freitas, University of British Columbia
Dr. Arnaud Doucet, University of British Columbia
Dr. Frank Ferrie, McGill University
Dr. T. Kirubarajan, McMaster University
Dr. Michael Rabbat, McGill University
Non-academic participants: 
Funding period: 
October 1, 2021 - March 31, 2021

With the widespread deployment of networked sensors and cameras throughout cities, there is an incredible opportunity for improving safety and security. Surveillance networks incorporate cameras mounted on traffic lights and overpasses, mobile cameras attached to emergency vehicles, and chemical and biological sensors for detecting dangerous contaminants. Surveillance networks can comprise several thousand sensors and cameras throughout a city.