Michael L. Calvisi
(University of Colorado, Colorado Springs, USA)

Michael Calvisi is an associate professor in the Department of Mechanical and Aerospace Engineering at the University of Colorado, Colorado Springs. His primary research interests are in computational modeling of multiphase and cerebrovascular flows. He has particular interests in bubble dynamics, biomedical acoustics, dynamical systems and in the application of optimal control theory and machine learning to the control of nonlinear systems. He received the NSF CAREER award in 2017 for his proposal to apply optimal control theory to the control of nonspherical oscillations of encapsulated microbubbles, with applications to ultrasound imaging and drug delivery.

Richard Manasseh
(Swinburne University of Technology, Australia)

Richard Manasseh's research focuses on wave modes and oscillators in fluids and their linear and nonlinear interactions. His active projects are on extracting data relevant to climate change from the
sounds of breaking ocean waves, ocean wave-power machines and coastal
protection, underwater sound control for defence applications, and fundamentals
of bushfire smoke dispersal. He has also recently led projects on the
interaction of ultrasound with microbubbles and live cells for medical
diagnostics and therapeutics, and the interaction of ultrasound with droplets for food processing. He has served as both President and Vice-President of the Australasian Fluid Mechanics Society.

Andreas Schröder
(German Aerospace Center, Germany)

Prof. Dr. Andreas Schröder is senior scientist and group leader for PIV and STB at the German Aerospace Center (DLR), Institute of Aerodynamics and Flow Technology in Göttingen and Professor for Image Based Measurement Techniques at the Brandenburg University of Technology in Germany. His research interests are the development and application of optical field measurement techniques for aerodynamic, -elastic and -acoustic research and turbulent flow diagnostics using Stereo- and 3D PIV, BOS and 3D Lagrangian Particle Tracking (Shake-The-Box) with subsequent Data Assimilation using Navier-Stokes constraints. He received his PhD degree from the Georg-August University in Göttingen in 2001 with a research work on non-linear stages of transitional boundary layer flows. Since 2002 he is organizing the international PIV Course http://pivcourse.dlr.de.

Guoqing Wang
(Shanghai Jiao Tong University, China)

Dr. Guoqing Wang is an Associate Professor at the School of Mechanical Engineering, Shanghai Jiao Tong University. He is known for his work in advanced laser diagnostics, reducing NOx emissions in low-carbon combustion, and mitigating thermoacoustic instabilities in combustion processes. He is dedicated to developing innovative, environmentally responsible solutions for carbon-free combustion technology.
He received his B.S. from the University of Science and Technology of China in Thermal Science and Energy Engineering (2013) and his M.S. from the same university (2016). He earned his Ph.D. from Shanghai Jiao Tong University in 2019, under Prof. Fei Qi's supervision. His postdoctoral journey includes significant contributions at the Clean Combustion Research Center, King Abdullah University of Science and Technology, Saudi Arabia, and as a Postdoctoral Researcher at ETH Zürich, Switzerland, in the Combustion and Acoustics for Power & Propulsion Systems Lab. His research has earned him 41 peer-reviewed SCI papers, including the ASPACC2021 Best Paper Award (2023) and the Best Paper Award at the China National Symposium on Combustion (2019).

Tomasz - Kapitaniak
(Lodz University of Technology, Poland)

Tomasz Kapitaniak is professor of theoretical and applied mechanics and head of the Division of Dynamics at Lodz University of Technology since 1992. He was invited to deliver more than 100 plenary/symposia lectures and over 250 seminars and other talks worldwide. He is the member of editorial boards of a few journals and honorary editor of the International Journal of Bifurcation and Chaos. He has published 300 research papers in the renowned journals from Clarivate Analitytics list, cited over 6000 times. His research is concentrated on nonlinear dynamics. The development of nonfeedback methods for chaos control, identification and description of new types of bifurcations, identification of the synchronization mechanism in coupled mechanical oscillators and the explanation of the origin of randomness in mechanical system are among his most important scientific discoveries. He has been elected the member of the Polish Academy of Sciences (corresponding member in 2013, ordinary member in 2019) and the Academia Europaea in 2021. He has got Doctor Honoris Causa degrees at the Saratov State University (Russia) and Lublin University of Technology (Poland) respectively in 2001 and 2014.

Moran Wang
(Tsinghua University, China)

Moran Wang is a Professor of Fluid Mechanics and Thermophysics at Tsinghua University. He obtained Bachelor and PhD degrees from Tsinghua University, and held postdoc positions in Johns Hopkins University and University of California of USA. He worked at Los Alamos National Laboratory as an Oppenheimer Fellow. He has been a full professor at Tsinghua University since 2011. He is working on micro/nanoscale fluid mechanics, transport in porous media, non-equilibrium thermodynamics, nonlinear heat & mass transfer, and interfacial science. He has authored over 200 peer-reviewed papers on international journals which gained over 13k citations based on Google Scholar Reports (H-index: 58). Prof. Wang has been serving as editorial board members for several international journals including “International Journal of Mechanical Sciences”, “Journal of Porous Media”, “Energy Science and Engineering”, “Journal of Colloids and Interface Science”, “Journal of Fluid Engineering-ASME” and so on. He has been invited to contribute comprehensive reviews on “Physics Reports”, “Material Science and Engineering R: Reports”, “Progress in Materials Science” and so on. He was awarded J.R. Oppenheimer Fellowship in 2008, Interpore P&G Award in 2019 and Fellow of IMMS in 2022.

Hajime Tanaka
(The University of Tokyo, Japan)

Hajime Tanaka is currently Professor Emeritus and Senior Program Advisor at the University of Tokyo. Throughout his career, Tanaka has engaged in comprehensive research on soft matter physics and liquid matter physics, encompassing both experimental and theoretical approaches. His focus is on understanding systems with spatiotemporally hierarchical structures and identifying commonalities between soft and liquid matter. His diverse research spans phase transition dynamics, pattern formation, nonlinear rheology, water physics, liquid-liquid transition, glass transition, and crystallization. Recognized for his contributions, Tanaka received awards, including the Society of Polymer Science Award (1997) and the Humboldt Research Award (2006). He was honored as a Fellow of the Institute of Physics in 2007.

Francisco Huera-Huarte
(Universitat Rovira i Virgili, Spain)

2002 BS & MS Mechanical Engineering, Technical University of Catalonia UPC, Spain
2006 PhD Aeronautics, Imperial College London, UK (with Prof. P.W. Bearman)
2006 Assistant Professor, Universitat Rovira i Virgili (URV) in Tarragona, Spain
2008-2009 Postdoctoral Scholar in Aeronautics, GALCIT, CALTECH (with Prof. M. Gharib)
2014 Recipient, "Agustin de Betancourt y Molina Prize", Spain Royal Academy Eng.
2015 Recipient, "Isabel de P. Trabal Prize", Foundation Spanish Mechanical Eng.
2014, 2015, 2018 Visiting Associate in Aerospace, GALCIT, CALTECH.
2015 Visiting Prof., ESPCI-ParisTech, France
2016 Visiting Prof., UMass Amherst, US
Since 2010 Professor, URV in Tarragona (Laboratory for Fluid-Structure Interaction)
Since 2019 Associate Editor, ASME J. Open Engineering
Since 2019 Associate Editor, Journal of Fluids and Structures

Weiwei Zhang
(Northwestern Polytechnical University, China)

Wei-Wei Zhang is Chang Jiang Scholars and Excellent Young Scientists in Northwestern Polytechnical University. He received his PhD degree at NPU in 2006. He research on artificial intelligence applications in fluid mechanics including unsteady aerodynamics, aeroelastics, and flow control. He has published over 100 articles in premier international journals. He is now Director of the International Joint Institute of Intelligence in Fluid Mechanics. He is Associate Editors of Aerospace Science and Technology, Theoretical And Applied Mechanics Letters and Advances in Applied Mathematics and Mechanics.

Jose E. Andrade
(Caltech, USA)

José E. Andrade is a civil engineer and the George W. Housner Professor of Civil and Mechanical Engineering at the California Institute of Technology. Andrade is a world leader in developing computer models to simulate the physics of complex systems. He has written hundreds of papers and holds patents on the level set discrete element method (LS-DEM)—a computer modeling tool that can simulate the dynamical response of multi-body systems. Andrade has more than 20 years of experience in the high-tech space with projects ranging from energy to defense to planetary science. His work has been recognized with numerous honors and awards worldwide.

Andrade received his B.S. in Civil Engineering summa cum laude from the Florida Institute of Technology. He holds a Master of Science and a Ph.D. from Stanford University.

Pedro M. Reis
(EPFL, Switzerland)

Pedro Miguel Reis is a Professor of Mechanical Engineering at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Prof. Reis received a B.Sc. in Physics from the University of Manchester, UK (1999), a Certificate of Advanced Studies in Mathematics (Part III Maths) from St. John’s College and DAMTP, University of Cambridge (2000) and a Ph.D. in physics from the University of Manchester (2004). He was a postdoc at the City College of New York (2004-2005) and at the CNRS/ESPCI in Paris (2005-2007). He joined MIT in 2007 as an Instructor in Applied Mathematics. In 2010 he moved to MIT’s School of Engineering, with dual appointments in Mechanical Engineering and Civil & Environmental Engineering, first as the Esther and Harold E. Edgerton Assistant Professor and, since the summer of 2014 as Gilbert W. Winslow Associate Professor. In October 2013, the Popular Science magazine named Prof. Reis to its 2013 “Brilliant 10” list of young stars in Science and Technology. In 2021, he was the President of the Society of Engineering Science. Prof. Reis has also received the 2014 CAREER Award (NSF), the 2016 Thomas J.R. Hughes Young Investigator Award (Applied Mechanics Division of the ASME), the 2016 GSOFT Early Career Award for Soft Matter Research (APS), and he is a Fellow of the APS.

Kevin Nolan
(University College Dublin, Ireland)

Kevin Nolan is a Lecturer in Fluid Mechanics at University College Dublin. This research focuses on optical measurement of fluid flow. He employs 3D animation tools to support his teaching, in particular to help students understand complex or abstract concepts.

Tomohiko G Sano
(Keio University, Japan)

Tomohiko Sano is a Senior Assistant Professor at Keio University, Yokohama, Japan. His research combines theory, simulation, and experiment to explore structural instability in geometry and materials. After completing his Ph.D. at Kyoto University, he did a postdoctoral fellowship at Ritsumeikan University, Shiga (near Kyoto), Japan. He then spent two years at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, before establishing his research group at Keio University.

Tomás Chacón Rebollo
(Bordeaux INP, France)

Professor Majdi Azaiez is currently a full professor at Polytechnic institute of Bordeaux (INP) and a Researcher at Institute of Mechanics and Engineering of Bordeaux since 2002 based at University of Bordeaux in France. He received the PhD. degree in Applied Mathematics from Orsay Paris XI University in 1990. He was an assistant professor at Paul Sabatier University in Toulouse from 1992 to 2002. He has been an invited professor in several universities, including Ecole Polytechnique de Lausanne, Sevilla University, Xiamen University. His interests cover several areas such as the approximation of PDEs by high order methods, inverse problems, constrained spectrum calculation and model and data reduction.