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Robert Bowden

Canadian Nuclear Laboratories
Participates in 1 Session

Robert Bowden's research interests are in experimental thermal-hydraulics, specializing in multiphase flows and advanced measurement techniques. He obtained his PhD (2010), MASc (2006), and BEng (2004) in mechanical engineering at Concordia University. Robert joined Canadian Nuclear Laboratories in 2013 as a member of the Thermal-hydraulics Laboratory.  He currently heads the Advanced Thermo-Fluids Section within the Nuclear Safety Experiments Branch of the Advanced Reactors Directorate.  Robert is a registered professional engineer within the province of Ontario. 

Sessions in which Robert Bowden participates

Tuesday 26 July, 2022

Time Zone: (GMT-05:00) Eastern Time (US & Canada)
1:00 PM
1:00 PM
Advanced Modeling and Building Simulations, CFD 2
1 hour 30 minutes, 1:00 PM EDT - 2:30 PM EDT

Conference: Concordia University, John Molson School of Business (MB) Building - MB3.270

Talk

Sébastien Poncet, Université de Sherbrooke (Chair)

Qingyan Chen, Hong Kong Polytechnic University (Speaker)

Lan Chen, The Hong Kong Polytechnic University (Speaker)

Robert Bowden, Canadian Nuclear Laboratories (Speaker)

Zohreh Shaghaghian, Texas A and M University (Speaker)

Menghao Qin, Technical University of Denmark (Speaker)

Feasibility study of using artificial intelligence methods to reduce building energy demand ...

Sessions in which Robert Bowden attends

Tuesday 26 July, 2022

Time Zone: (GMT-05:00) Eastern Time (US & Canada)
1:00 PM
1:00 PM
Advanced Modeling and Building Simulations, CFD 2
1 hour 30 minutes, 1:00 PM EDT - 2:30 PM EDT

Conference: Concordia University, John Molson School of Business (MB) Building - MB3.270

Talk

Sébastien Poncet, Université de Sherbrooke (Chair)

Qingyan Chen, Hong Kong Polytechnic University (Speaker)

Lan Chen, The Hong Kong Polytechnic University (Speaker)

Robert Bowden, Canadian Nuclear Laboratories (Speaker)

Zohreh Shaghaghian, Texas A and M University (Speaker)

Menghao Qin, Technical University of Denmark (Speaker)

Feasibility study of using artificial intelligence methods to reduce building energy demand ...