Seminar Co-organization

  • Intelligent and Bio-inspired Mechanics (IBiM) – Online Seminar Series
     
    Organizers:
    Dixia Fan, Qiang Zhong, Sicheng He, Giovanni Iacobello, Kai Zhang, David Rival
    , Jisheng Zhao, Juan Li
     
    Webpage: http://ibim-conference.com/

Invited talks

  1. G. Iacobello, “Spatio-temporal investigation of turbulent flows through Lagrangian networks”. Seminar series Network Science for Fluid Mechanics,
    19 February 2021 (Recording)
  2. G. Iacobello, “From flow systems to complex networks: a methodological overview”. Seminar series Intelligent and Bio-inspired Mechanics,  October 21, 2020 (Youtube recording)
  3. S. Scarsoglio, G. Iacobello, L. Ridolfi, “Complex networks approach to wall-bounded turbulence”. Invited session Online workshop on Network Science for Fluid Dynamics, 24-25, June 2020 (Event link with slides and video)

Conference presentations (speaker underlined)

  1. F. Kaiser, G. Iacobello, D. Rival, “Data-driven aerodynamic load estimation in gusty environments from sparse pressure data”, DisCoVor 2022, 17-20, May 2022, Villars-sur-Ollon (Switzerland)
  2. F. Kaiser, G. Iacobello, D. Rival, “Aerodynamic state estimation from sparse sensor data by pairing Bayesian statistics with transition networks”, 2022 AIAA SciTech Forum, 03-07, January 2022, San Diego, CA (USA) and Online
  3. T. Banerjee, S. Chowdhuri, G. Iacobello, “A novel perspective on large-scale intermittency in convective surface layer turbulence through visibility networks”, AGU Fall Meeting 2021, 13-17 December 2021, New Orleans, LA (USA) and Online
  4. G. Iacobello, F. Kaiser, D. Rival, “Recurrence-based identification of coherent motion from very-sparse Lagrangian particle trajectories”, Bulletin of the American Physical Society, 74nd Annual Meeting of the APS Division of Fluid Dynamics, 21–23 November 2021, Phoenix, AZ (USA) and Online
  5. F. Kaiser, G. Iacobello, D. Rival, “Pairing Bayesian statistics with transition networks: A data-driven approach for aerodynamic state estimation”, Bulletin of the American Physical Society, 74nd Annual Meeting of the APS Division of Fluid Dynamics, 21–23 November 2021, Phoenix, AZ (USA) and Online
  6. G. Iacobello, D. E. Rival, “A network-based perspective on coherent structure detection from very-sparse Lagrangian data”. 14th International Symposium on Particle Image Velocimetry (ISPIV), 02-04 August 2021, Virtual meeting
  7. S. Scarsoglio, G. Iacobello, L. Ridolfi, “Complex networks approach to wall-bounded turbulence”. Invited session “Network Science for Fluid Dynamics”, 2020 AIAA AVIATION Forum, Reno, Nevada, 15-19, June 2020 (withdrawn – moved to “Online workshop on Network Science for Fluid Dynamics”)
  8. G. Iacobello, S. Scarsoglio, J.G.M. Kuerten and L. Ridolfi, “Complex network-based Lagrangian analysis of turbulent mixing in channel flows at different Reynolds numbers”. Bulletin of the American Physical Society, 64. (72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, Washington, USA, November 23–26, 2019)

  9. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Lagrangian mixing in wall-bounded turbulence: a network perspective”, in 17th European Turbulence Conference Book of Abstracts, vol. 17, (17th European Turbulence Conference, Turin, Italy, September, 03-06, 2019)

  10. S. Scarsoglio, G. Iacobello, L. Ridolfi, M. Marro, and P. Salizzoni, “Network-based characterization of passive-scalar plume dynamics in a turbulent boundary layer”, in 17th European Turbulence Conference Book of Abstracts, vol.17, (17th European Turbulence Conference, Turin, Italy, September 03-06, 2019)

  11. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Complex network characterization of Lagrangian mixing in a turbulent channel flow”, in 9th European Postgraduate Fluid Dynamics Conference Book of Abstracts, vol. 9, (9th European Postgraduate Fluid Dynamics Conference, Ilmenau, Germany, July, 16-19, 2019)

  12. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Temporal network-based analysis of turbulent mixing”, in 7th International Conference on Complex Networks and Their Applications Book of Abstracts, vol. 7, (7th International Conference on Complex Networks and Their Applications, Cambridge, UK, December 11-13, 2018), pp. 383–386, ISBN: 978-2-9557050-2-5, 2018

  13. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Spatial investigation of wall turbulence via complex networks”, in 12th European Fluid Mechanics Conference Book of Abstracts, (EFMC12, Vienna, Austria, September 09-13, 2018)

  14. G. Iacobello, L. Ridolfi, M. Marro, P. Salizzoni and S. Scarsoglio, “Complex network analysis of wind tunnel experiments on the passive scalar dispersion in a turbulent boundary layer” in iTi2018 – Conference on Turbulence Book of Abstract (interdisciplinary Turbulence initiative – iIi 2018, Bertinoro, Italy, September 05-07, 2018), p. 65-66

  15. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Complex network analysis of turbulent flows”, in Burgers Symposium 2018, JMBC (Burgers Symposium 2018, Lunteren, the Netherlands, June 05-06, 2018)

  16. G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, and L. Ridolfi, “Spatial network investigation of wall turbulence” in 6th International Conference on Complex Networks and Their Applications Book of Abstracts, vol. 6, (6th International Conference on Complex Networks and Their Applications, Lyon, France, November 29 – December 1, 2017), pp. 300–302, ISBN: 978–2–9557050–2–5, 2017

  17. G. Iacobello, S. Scarsoglio, and L. Ridolfi, “Characterization of turbulent channel flows: from time-series to complex networks”, in 16th European Turbulence Conference Book of Abstracts, vol. 16, (16th European Turbulence Conference, Stockholm, Sweden, August, 21-24, 2017), p. 28776, 2017

  18. G. Iacobello, S. Scarsoglio, and L. Ridolfi, “New insights into spatial characterization of turbulent flows: a complex network-based analysis”, in 8th European Postgraduate Fluid Dynamics Conference Book of Abstracts, vol. 8, (8th European Postgraduate Fluid Dynamics Conference, Warsaw, Poland, July, 6-9, 2016), p. 38, 2016.

Publications are here reported for research purposes only, and copyright belongs to the respective parties.