Webinaire Hassan M. Nagib
Wall-Bounded Turbulence: Recent Lessons from Experiments-Asymptotics-Computation
Hassan M. Nagib is the John T. Rettaliata Endowed Professor of Mechanical and Aerospace Engineering at the Illinois Institute of Technology, and was the founding director of the institute’s Fluid Dynamics Research Center. His field of specialty is in fluid mechanics, turbulent flow, and flow management and control. At Illinois Tech, he served as MMAE department Chair, dean of Armour College, academic vice president, and chief scientist for IIT Research Institute (IITRI). Nagib is the recipient of several prestigious honors including being a Fellow of the American Physical Society, the American Association of Advancement of Science, the American Institute of Aeronautics and Astronautics, and the American Society of Mechanical Engineers. From his base institute for more than half a century, he has been a visiting faculty on several occasions at Stanford University, California Institute of Technology, KTH Royal Institute of Technology, École Polytechnique Fédérale de Lausanne, Friedrich-Alexander University, Erlangen, and a Tewkesbury Fellow in the Department of Mechanical Engineering at University of Melbourne.
Webinar Rui Ni
The Wrath of the Small: Fragmentation of Bubbles in Turbulence by Small Eddies
Rui Ni is an Associate Professor in Mechanical Engineering at Johns Hopkins University and was appointed as the DOE ORISE professor in 2019. Prior to joining JHU, he was the endowed Kenneth K. Kuo Early Career Professor at Penn State University. He received his Ph.D. in the Department of Physics from the Chinese University of Hong Kong in 2011, and worked as a postdoctoral scholar at Yale and Wesleyan University. He received an NSF CAREER award in fluid dynamics, ACS-PRF New Investigator Award, and NASA Early Stage Investigation award. His primary research focus is the development of advanced experimental methods for understanding multiphase flows in many applications, such as energy systems, emulsion, particle ingestion in gas turbines, landings on extraterrestrial bodies, and dust mitigation for future space exploration.
Webinar Sébastien Galtier
Heat and mass transport in porous media: Insights from experiments, simulations, and modelling.
Sébastien Galtier obtained a PhD at Observatoire de Nice in 1998 under the supervision of Prof. Annick Pouquet. His PhD was on 'MHD turbulence and intermittency'. He joined the Mathematics Institute of University of Warwick in 1999 as a post-doc before to obtain a permanent position at University Paris-Sud in 2001. He is now Professor in Astrophysics at Université Paris Saclay in the "Laboratoire de Physique des Plasmas". He was awarded as Junior and Senior member of Institut universitaire de France (IUF). His research interest is on turbulence in astrophysics and cosmology. He uses both high level mathematical tools and massive numerical simulations to study the properties of turbulence and discover new fundamental laws. The domains of application are diverse: solar wind plasma, supersonic interstellar medium, solar coronal heating, dynamo in stars and planets, and primordial gravitational waves. Magnetohydrodynamics (MHD) and general relativity are the main equations used to investigate these questions.
Webinar Marco de Paoli
Heat and mass transport in porous media: Insights from experiments, simulations, and modelling.
Marco De Paoli obtained his PhD in Fluid Mechanics at the University of Udine in 2017, under the supervision of Prof. Alfredo Soldati. During his postdoc at TU Wien (2017-2021) he worked on experiments in multiphase flows. In 2022 he was Erwin Schrödinger Fellow at the Physics of Fluids Group (University of Twente), where he worked with Detlef Lohse. Since 2023, he is Marie Sklodowska-Curie fellow at the same institute. He is currently interested in experiments and simulations in porous media convection and fibre-laden flows.
Webinar Rodney O. Fox
Simulation of the Grenoble bubble-column experiment
Prof. Rodney O. Fox joined Iowa State University in 1998 as the Glenn Murphy Professor of Engineering, later becoming the Herbert L. Stiles Professor of Chemical Engineering until 2012. He is been an Associate Scientist at the US-DOE Ames Laboratory since 2001, rising to Distinguished Professor in 2010. Prof. Fox held visiting professorships in Belgium, Denmark, France, Italy, Switzerland, and The Netherlands, and was a NATO Postdoctoral Fellow in France from 1987 to 1988. Among his awards are a NSF Presidential Young Investigator Award in 1992 and ISU Outstanding Achievement in Research Award in 2007. He was elected Fellow of the American Physical Society in 2007 and the AIChE in 2020. Prof. Fox received the North American Mixing Forum Award for Excellence and Shell Particle Technology Forum Thomas Baron Award in 2016. In 2022, he was named the Fulbright-Tocqueville Distinguished Chair and Jean D’Alembert Senior Chair at the University of Paris-Saclay, CentraleSupélec. Prof. Fox’s contributions to multiphase and reactive flow modeling are groundbreaking. His group developed novel computational fluid dynamics models, including powerful quadrature-based moment methods (CQMOM, GQMOM, HyQMOM). His research spans turbulent flow, chemical reactions, and multifluid models. His books, Computational Models for Turbulent Reacting Flows (2003) and Computational Models for Polydisperse Particulate and Multiphase Systems (2013), are authoritative works in the field.
Webinar Kai Fukami
Taming extreme aerodynamic flows with generalized super resolution and manifold identification
Kai Fukami is a postdoc research associate at University of California, Los Angeles (UCLA). He received his B. Eng. (Mar 2018) and M. Eng. (Sep 2020) degrees from Keio University (Japan). He received Ph.D. at UCLA in Feb 2024. His research is focused on developing physics-inspired data-driven techniques for turbulent flow analyses, leveraging computational fluid dynamics, super/unsupervised machine learning, and complex network theory. He was selected as a 2022 Amazon Fellow by the UCLA-Amazon Science Hub for Humanity and Artificial Intelligence.
Webinar Sofia Angriman
Exploring particle dynamics in anisotropic and inhomogeneous turbulent flows
Sophia Angriman obtained a PhD in Physics from the University of Buenos Aires, Argentina in 2023. During his PhD he mostly focused on particle dynamics in turbulent flows, performing experiments and simulations with different kinds of particles. After that I joined the Physics of Fluids group in the University of Twente, the Netherlands, as a postdoc. He is currently part of a big team interested in the physics of melting of ice, investigating among other things how the fluid dynamics of the liquid phase interacts with the solid throughout the melting process.
Webinar Manuel García-Villalba
Fluid-structure interaction in some bioinspired problems: a numerical study
Manuel García-Villalba is professor of Computational Fluid Mechanics at the Institute of Fluid Mechanics and Heat Transfer of TU Wien, Austria, since 2022. Previously, he was associate professor at Universidad Carlos III de Madrid, Spain, and has also worked at the Karlsruhe Institute of Technology, Germany, where he also did his PhD. His research focuses on computational fluid mechanics and its applications in engineering and biomedicine.
Webinar Paolo Errante
Liquid spray injection in a CO2 High Voltage Circuit Breaker
Paolo Errante obtained a Ph.D. in fluid Mechanics at the LMFA of the Ecole Centrale de Lyon in 2020, the major contribution involved developing an innovative interpolation method, ensuring thermodynamic consistency in multi-phase and multi-species flows. In between these activities Paolo also have explored non-intrustive uncertainty quantification technique to better understand and calibrate lagrangian evaporative sprays. Following he pursued with a two-year post-doctoral position at LMFA, where he focused on studying the challenging DNS of supersonic turbulent channel flow of dense gases. This simulation helped to identifying sub-grid scale terms to be modeled, in the context of dense gases. The data produced are made available to develop AI models for CFD. At the end of this project, Paolo embarked on a one-year post-doctoral venture in Cambridge, where its work was more oriented to combustion modeling. During this period he constructed an algorithm for the Flamelet Generate Manifold modeling approach, implemented in the NEWT code. Nowadays Paolo Errante works at LMFL-L2EP as a research Engineer, mainly focused on coupling Data-Assimilation techniques with numerical models.
Webinar Eric Lauga
Biological flows inside cells
Eric Lauga is Professor of Applied Mathematics at the University of Cambridge and a Fellow of Trinity College, Cambridge. He graduated from Ecole Polytechnique (France) in 1998 and the Corps des Mines Program from Ecole des Mines de Paris in 2001. After receiving an M.S. in Fluid Mechanics from University of Paris Pierre et Marie Curie (France) in 2001, he earned his Ph.D. in Applied Mathematics from Harvard University in 2005 where he worked in theoretical modeling of flow phenomena at the micron scale. Prior to joining Cambridge, he was on the faculty at MIT (Mathematics) and at the University of California, San Diego (Mechanical and Aerospace Engineering). He is a recipient of the NSF CAREER award (2008) and of three awards from the American Physical Society: the Andreas Acrivos Dissertation Award in Fluid Dynamics (2006), the François Frenkiel Award for Fluid Mechanics (2015) and the Early Career Award for Soft Matter Research (2018). He is a Fellow of the American Physical Society. His research interests include the development of theoretical approaches to model viscous flows, in particular in a biological context, the dynamics of complex fluids and interdisciplinary problems in soft matter physics. He joined PRFluids as an Associate Editor in 2016, and he is now co-Chief Editor.