Conference Schedule
Monday June 24th |
15h00 - 20h00: Registration at the Centre Mont-Royal |
Tuesday June 25th |
7h00 - 8h00: Registration 8h00 - 8h20: Opening Ceremonies 8h20 - 9h10: Kasagi Award Lecture 9h20 - 12h00: Parallel Sessions (incl. coffee break) 12h00 - 13h50: Lunch (on your own) 13h50 - 14h40: Invited Lecture 14h50 - 17h30: Parallel Sessions (incl. coffee break) 18h00 - 20h00: Welcome Reception and Poster Presentations at the Centre Mont-Royal |
Wednesday June 26th |
08h20 - 17h30: Invited lectures & Parallel sessions (same as day before) 18h00 - 21h00: Banquet at Marché Bonsecours in Old Montreal (Buses leave the Centre Mont-Royal starting at 17h50) |
Thursday June 27th |
08h20 - 17h30: Invited lectures & Parallel sessions (same as day before) |
Friday June 28th |
08h20 - 11h00: Parallel sessions 11h30 - 11h30: Closing Ceremonies |
Technical Program
Please find the electronic copy of the Conference Program for download here. A printed copy will be provided at registration.
- The program at a glance is provided here*.
- Timetable and detailed program. (Note: Additional functionalities are available if you are logged into ConfTool when accessing this link.)
*Please note this is a tentative outline and may be subject to small changes.
Duration of invited lectures: 40 minutes + 10 minutes Q&A
Duration of oral presentations: No more than 17 minutes + 2 minutes for Q&A + 1 minute turnover. (Speakers will be given a 2-minute warning once 15 minutes have elapsed.)
Note: All presenters must use their own laptop computers to make their oral presentations. The video connection will be a full-size HDMI connection. If a participant’s computer uses another format of video port, the participants will be responsible for bringing their own adapter.
Poster format: We recommend a standard A1 poster size (24 inches x 36 inches; 60cm x 90 cm – the poster size varies slightly between paper sizes on different continents). Either landscape or portrait orientation is acceptable.
Invited lectures
Karthik Duraisamy, University of Michigan, USA Generalizable Physics-Constrained Machine Learning for Predictive Modeling of Turbulent Flows |
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Bettina Frohnapfel, Karlsruhe Institute of Technology, Germany Turbulent flows over rough surfaces |
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Stéphane Moreau, Université de Sherbrooke, Canada Turbomachinery noise: turbulence a key ingredient |
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Joerg Schumacher, Technische Universität Ilmenau, Germany Turbulent mesoscale convection in the Boussinesq limit and beyond |
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Chunxiao Xu, Tsinghua University, China Equivalent boundary layer model and its application in inflow turbulence generation |
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TSFP13 Nobuhide Kasagi Award lecture
Ricardo Vinuesa, KTH Royal Institute of Technology, Sweden Discovering novel control strategies for turbulent flows through deep reinforcement learning |
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