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A seminar series for fluid mechanicians & network scientists
The goal of this seminar series is to bring researchers in the fields of network science & fluid mechanics together from across the globe.
The goal of this seminar series is to bring researchers in the fields of network science & fluid mechanics together from across the globe.
Organizers:
Organizers:
There is growing interest in using network science and graph theory for analyzing high-dimensional fluid flow problems. The highly nonlinear nature of interactions in fluid flows pose a challenging task of understanding and controlling them. Network science can help in characterizing fluid flow time-series data, provide measures to reveal the relative importance of fluid flow nodes, and enable interaction-based model-reduction for prediction and control of fluid flows.
There is growing interest in using network science and graph theory for analyzing high-dimensional fluid flow problems. The highly nonlinear nature of interactions in fluid flows pose a challenging task of understanding and controlling them. Network science can help in characterizing fluid flow time-series data, provide measures to reveal the relative importance of fluid flow nodes, and enable interaction-based model-reduction for prediction and control of fluid flows.
This seminar series brings together experts from both the fields of network science (and graph theory) and fluid mechanics, who might benefit from applying such techniques to complex fluid flow problems. We are planning to have talks both on the theoretical aspects of network science as well as the applied aspects related to fluid mechanics. This series presents an opportunity to foster collaborations as well as ask questions to the experts on the applicability of their methodologies to fluid flow problems.
This seminar series brings together experts from both the fields of network science (and graph theory) and fluid mechanics, who might benefit from applying such techniques to complex fluid flow problems. We are planning to have talks both on the theoretical aspects of network science as well as the applied aspects related to fluid mechanics. This series presents an opportunity to foster collaborations as well as ask questions to the experts on the applicability of their methodologies to fluid flow problems.
When:
When:
1 session every month, on Fridays 9:00 - 10:00 am US Pacific time
1 session every month, on Fridays 9:00 - 10:00 am US Pacific time
Where:
Where:
Online - please register below to receive the Zoom link and seminar reminders
Online - please register below to receive the Zoom link and seminar reminders
How/Format:
How/Format:
2 talks (20 mins each) with discussions in between and at the end of the session.
2 talks (20 mins each) with discussions in between and at the end of the session.
See detailed schedule below.
See detailed schedule below.
Schedule:
Schedule:
Upcoming talks:
Upcoming talks:
10 February 2023
10 February 2023
At 10:00 am US Pacific Time
At 10:00 am US Pacific Time
Wim M. van Rees, Assistant Professor, Mechanical Engineering, Massachusetts Institute of Technology, USA
Wim M. van Rees, Assistant Professor, Mechanical Engineering, Massachusetts Institute of Technology, USA
"Bursting on vortex tubes with initial core-size perturbations & advances in associated simulation techniques"
"Bursting on vortex tubes with initial core-size perturbations & advances in associated simulation techniques"
Previous Talks:
Previous Talks:
11 November 2022
11 November 2022
Aaron Towne, Assistant Professor, Mechanical Engineering, University of Michigan, USA
Aaron Towne, Assistant Professor, Mechanical Engineering, University of Michigan, USA
"Space-time POD: a unifying framework for modal decomposition"
"Space-time POD: a unifying framework for modal decomposition"
7 October 2022
7 October 2022
Iacobello Giovanni, Lecturer of Mechanical Engineering Sciences, University of Surrey, Guildford, UK
Iacobello Giovanni, Lecturer of Mechanical Engineering Sciences, University of Surrey, Guildford, UK
"Increasing the visibility of Network Science in Fluid Mechanics: A methodological overview on network-based nonlinear time-series analysis"
"Increasing the visibility of Network Science in Fluid Mechanics: A methodological overview on network-based nonlinear time-series analysis"
11 March 2022
11 March 2022
Adilson E. Motter, Morrison Professor of Physics and Astronomy, Northwestern University, USA
Adilson E. Motter, Morrison Professor of Physics and Astronomy, Northwestern University, USA
Charlotte (Yanxuan) Shao, Ph.D. Student, Northwestern University, USA
Charlotte (Yanxuan) Shao, Ph.D. Student, Northwestern University, USA
"Programmable and emergent behavior in fluid networks"
"Programmable and emergent behavior in fluid networks"
Luis M. Rocha, George J. Klir Professor of Systems Science, State University of New York at Binghamton, USA
Luis M. Rocha, George J. Klir Professor of Systems Science, State University of New York at Binghamton, USA
"The effective graph: a weighted graph that captures nonlinear logical redundancy in biochemical systems"
"The effective graph: a weighted graph that captures nonlinear logical redundancy in biochemical systems"
11 February 2022
11 February 2022
Benjamin Herrmann, Assistant Professor of Mechanical Engineering, University of Chile, Chile
Benjamin Herrmann, Assistant Professor of Mechanical Engineering, University of Chile, Chile
"Synchronization in forced oscillator flows"
"Synchronization in forced oscillator flows"
Kathrin Padberg-Gehle, Professor of Applied Mathematics, Leuphana University Lüneburg, Germany
Kathrin Padberg-Gehle, Professor of Applied Mathematics, Leuphana University Lüneburg, Germany
"Evolutionary clustering of Lagrangian trajectories in turbulent convection"
"Evolutionary clustering of Lagrangian trajectories in turbulent convection"
14 January 2022
14 January 2022
Pablo Moriano, Research Scientist, Oak Ridge National Laboratory, USA
Pablo Moriano, Research Scientist, Oak Ridge National Laboratory, USA
"Using graphs for improving machine learning: Methods and applications"
"Using graphs for improving machine learning: Methods and applications"
Mahantesh Halappanavar, Chief Computer Scientist, Pacific Northwest National Laboratory, USA
Mahantesh Halappanavar, Chief Computer Scientist, Pacific Northwest National Laboratory, USA
"Graph analytics in the accelerator-enabled exascale era"
"Graph analytics in the accelerator-enabled exascale era"
3 December 2021
3 December 2021
Daniel Fernex, Postdoctoral Researcher, École polytechnique fédérale de Lausanne, Switzerland
Daniel Fernex, Postdoctoral Researcher, École polytechnique fédérale de Lausanne, Switzerland
"Cluster-based network modeling of an actuated turbulent boundary layer"
"Cluster-based network modeling of an actuated turbulent boundary layer"
R. I. Sujith, Institute Chair Professor, Indian Institute of Technology, Madras, India
R. I. Sujith, Institute Chair Professor, Indian Institute of Technology, Madras, India
"Suppression of thermoacoustic instability by targeting the hubs of the turbulent networks in a bluff body stabilized combustor"
"Suppression of thermoacoustic instability by targeting the hubs of the turbulent networks in a bluff body stabilized combustor"
5 November 2021
5 November 2021
Frieder Kaiser, Postdoctoral Scholar, Queen’s University, Canada
Frieder Kaiser, Postdoctoral Scholar, Queen’s University, Canada
"Towards robust flight in gusty environments: Estimating aerodynamic loads from sparse, noisy data in separated flows"
"Towards robust flight in gusty environments: Estimating aerodynamic loads from sparse, noisy data in separated flows"
Alexandre Mauroy, Assistant Professor of Mathematics, University of Namur, Belgium
Alexandre Mauroy, Assistant Professor of Mathematics, University of Namur, Belgium
"A brief overview of Koopman operator techniques for network identification"
"A brief overview of Koopman operator techniques for network identification"
8 October 2021
8 October 2021
Oliver T. Schmidt, Assistant Professor of Mechanical and Aerospace Engineering, University of California, San Diego, USA
Oliver T. Schmidt, Assistant Professor of Mechanical and Aerospace Engineering, University of California, San Diego, USA
"Data mining nonlinearity: The bispectral mode decomposition"
"Data mining nonlinearity: The bispectral mode decomposition"
Mohammad Farazmand, Assistant Professor of Mathematics, North Carolina State University, USA
Mohammad Farazmand, Assistant Professor of Mathematics, North Carolina State University, USA
"RONS: Reduced-order nonlinear solutions for PDEs with conserved quantities"
"RONS: Reduced-order nonlinear solutions for PDEs with conserved quantities"
10 September 2021
10 September 2021
Shruti Tandon, Ph.D. Scholar, Indian Institute of Technology, Madras, India
Shruti Tandon, Ph.D. Scholar, Indian Institute of Technology, Madras, India
"Condensation in the phase space and network topology during transition from chaos to order in turbulent thermoacoustic systems"
"Condensation in the phase space and network topology during transition from chaos to order in turbulent thermoacoustic systems"
Kunihiko Taira, Professor of Mechanical Engineering, University of California, Los Angeles, USA
Kunihiko Taira, Professor of Mechanical Engineering, University of California, Los Angeles, USA
"Wake oscillation networks: A phase-based perspective"
"Wake oscillation networks: A phase-based perspective"
21 May 2021
21 May 2021
Chi-An Yeh, Postdoctoral Scholar, University of California, Los Angeles, USA (Assistant Professor at North Carolina State University, starting July 2021)
Chi-An Yeh, Postdoctoral Scholar, University of California, Los Angeles, USA (Assistant Professor at North Carolina State University, starting July 2021)
"Network broadcast analysis and control of turbulent flows"
"Network broadcast analysis and control of turbulent flows"
Mason A. Porter, Professor of Applied Mathematics, University of California, Los Angeles, USA
Mason A. Porter, Professor of Applied Mathematics, University of California, Los Angeles, USA
"Topological data analysis of spatial complex systems"
"Topological data analysis of spatial complex systems"
16 April 2021
16 April 2021
Niall M. Mangan, Assistant Professor of Engineering Sciences & Applied Mathematics, Northwestern University, USA
Niall M. Mangan, Assistant Professor of Engineering Sciences & Applied Mathematics, Northwestern University, USA
"Sparse model inference for chaotic systems with hidden variables"
"Sparse model inference for chaotic systems with hidden variables"
Özgür D. Gürcan, Research Associate, CNRS - Ecole Polytechnique - LPP, France
Özgür D. Gürcan, Research Associate, CNRS - Ecole Polytechnique - LPP, France
"Turbulence as a network of Fourier modes"
"Turbulence as a network of Fourier modes"
19 March 2021
19 March 2021
Muralikrishnan Gopalakrishnan Meena, Postdoctoral Research Associate, Oak Ridge National Laboratory, USA
Muralikrishnan Gopalakrishnan Meena, Postdoctoral Research Associate, Oak Ridge National Laboratory, USA
"Vortical network connectors for turbulence modification"
"Vortical network connectors for turbulence modification"
Peter J. Mucha, Professor of Mathematics & Applied Physical Sciences, The University of North Carolina at Chapel Hill, USA
Peter J. Mucha, Professor of Mathematics & Applied Physical Sciences, The University of North Carolina at Chapel Hill, USA
"Community detection in multilayer networks: pruning & picking parameters"
"Community detection in multilayer networks: pruning & picking parameters"
19 February 2021
19 February 2021
Alice C. Schwarze, Postdoctoral Research Scholar, University of Washington, USA
Alice C. Schwarze, Postdoctoral Research Scholar, University of Washington, USA
"Motifs for processes on networks"
"Motifs for processes on networks"
Iacobello Giovanni, Postdoctoral Research Associate, Queen's University at Kingston, Canada (from April 2021)
Iacobello Giovanni, Postdoctoral Research Associate, Queen's University at Kingston, Canada (from April 2021)
"Spatio-temporal investigation of turbulent flows through Lagrangian networks"
"Spatio-temporal investigation of turbulent flows through Lagrangian networks"
15 January 2021
15 January 2021
Vishnu R. Unni, Associate Research Scholar, Princeton University, USA
Vishnu R. Unni, Associate Research Scholar, Princeton University, USA
"Complex Networks for Combustion Dynamics"
"Complex Networks for Combustion Dynamics"
Steven L. Brunton, Associate Professor of Mechanical Engineering, University of Washington, USA
Steven L. Brunton, Associate Professor of Mechanical Engineering, University of Washington, USA
"Machine learning for fluid mechanics"
"Machine learning for fluid mechanics"
18 December 2020
18 December 2020
Enrico Ser-Giacomi, Postdoctoral Associate, Massachusetts Institute of Technology, USA
Enrico Ser-Giacomi, Postdoctoral Associate, Massachusetts Institute of Technology, USA
"Lagrangian Flow Networks: theory and applications to marine sciences"
"Lagrangian Flow Networks: theory and applications to marine sciences"
Kameron Harris, Assistant Professor of Computer Science, Western Washington University, USA
Kameron Harris, Assistant Professor of Computer Science, Western Washington University, USA
"Network structure vs. randomness"
"Network structure vs. randomness"
20 November 2020
20 November 2020
Aditya G. Nair, Assistant Professor, University of Nevada, Reno, USA
Aditya G. Nair, Assistant Professor, University of Nevada, Reno, USA
"Network analysis of unsteady fluid flows"
"Network analysis of unsteady fluid flows"
Bethany Lusch, Assistant Computer Scientist, Argonne National Laboratory, USA
Bethany Lusch, Assistant Computer Scientist, Argonne National Laboratory, USA
"An introduction to network science and a case study in causality"
"An introduction to network science and a case study in causality"
Previous meetings:
Previous meetings:
Organized by: Kunihiko Taira (UCLA) and Matthew Munson (ARO)
Organized by: Kunihiko Taira (UCLA) and Matthew Munson (ARO)
Contact:
Contact:
For enquiries, please contact Muralikrishnan Gopalakrishnan Meena (Oak Ridge National Laboratory, gopalakrishm@ornl.gov).
For enquiries, please contact Muralikrishnan Gopalakrishnan Meena (Oak Ridge National Laboratory, gopalakrishm@ornl.gov).
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