Yue Yu is currently a professor of Applied Mathematics at Lehigh University. Her research lies in the area of applied mathematics and computational mechanics, with recent projects focusing on nonlocal problems and scientific machine learning. She has received an NSF Early Career award, an AFOSR Young Investigator Program (YIP) award, and the Gallagher Young Investigator Award from USACM.

Prof. Irene Vignon-Clementel is research director (full prof. equiv.) at Inria, France, is an expert in digital twins in hemodynamics and transport for disease understanding and treatment planning.

Dr. Artem Korobenko is an Associate Professor at the University of Calgary, where he holds a Schulich Research Chair and leads the Computational Fluids and Structural Mechanics Group. His research develops multi-fidelity computational methods for aerospace, wind, and marine engineering. He is a Fulbright alumnus, Humboldt Fellow, and active leader in computational science and engineering organizations.

Alvaro L. G. A. Coutinho holds a B.S. (1980), M.S. (1984), and D.Sc. (1987) in Civil Engineering from COPPE at the Federal University of Rio de Janeiro (UFRJ), where he has been a Full Professor since 2001. He currently serves as Coordinator of the Interdisciplinary Area of Computational Engineering and Science and Director of the High-Performance Computing Center (NACAD) at COPPE/UFRJ. He is a CNPq Level 1A Research Productivity Fellow. His research spans computational mechanics, high-performance computing, scientific machine learning, finite element methods, and multiphysics simulation, with applications in geoscience, petroleum engineering, and environmental fluid dynamics. His contributions have been recognized with the IACM Fellow Award (2012), the IBM Faculty Partnership Award (2001), and the COPPE Academic Merit Award (2007), among others. He serves on the editorial boards of Computer Methods in Applied Mechanics and Engineering, the International Journal for Numerical Methods in Fluids, and the Journal of Machine Learning for Modeling and Computing, among others. Prof. Coutinho has authored 143 peer-reviewed journal papers, 297 full conference papers, and 7 book chapters, and has supervised 35 doctoral theses, 39 master's dissertations, and 20 postdoctoral researchers. He coordinated the Brazil–Europe project HPC4E: High Performance Computing for Energy (2016–2018) and currently leads the RISC2 HPC Cooperation Network between Europe and Latin America, and the Thematic Network in Artificial Intelligence for Renewable Energy and Climate Change, funded by FAPERJ.

Filippo Coletti is Professor of Experimental Fluid Dynamics at ETH Zurich, where he has been since 2020. Previously he was McKnight Land-Grant Associate Professor of Aerospace Engineering & Mechanics at the University of Minnesota, which he joined in 2014. He performed his doctoral studies at the von Karman Institute for Fluid Dynamics and at the University of Stuttgart, where he obtained his PhD in 2010, and was postdoctoral fellow at Stanford University between 2011 and 2013. His research interests are focused turbulent multiphase flows, which he studies with a wide spectrum of experimental approaches and with applications to environmental, biomedical, and industrial problems. Filippo received the CAREER award from the US National Science Foundation in 2015, and the ERC Consolidator grant from the Swiss National Science Foundation in 2022. He is the founder and co-organizer of the Fluid Mechanics Tour of the Alps, an itinerant seminar series featuring the world’s top fluid mechanicians.

Prof. Nikolaos Bouklas is an Associate Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University, and Director for Research in CAD/CAE and ML at Pasteur Labs. He received his PhD from the Aerospace Engineering and Engineering Mechanics department at the University of Texas at Austin and obtained his Diploma in Mechanical Engineering from the Aristotle University of Thessaloniki, Greece. Dr. Bouklas' research focuses in the field of computational solid mechanics and scientific machine learning. Developing theoretical frameworks and advanced computational methods, he aims to improve the fundamental understanding of materials and structures, and enhance the predictive capabilities in relevant engineering applications. He is the recipient of the Young Investigator Program award from the Air Force Office of Scientific Research, and served in the leadership of the Cornell SciAI Center funded by ONR.

Azadeh Sheidaei is an Associate Professor of Aerospace Engineering at Iowa State University, where she has been on faculty since 2018. She holds a M.S and Ph.D. in Mechanical Engineering from Michigan State University and a B.S. in Aerospace Engineering from Sharif University of Technology. Her research sits at the intersection of computational materials science, machine learning, and advanced manufacturing with a focus on designing printable multifunctional materials, metamaterials, and nondestructive evaluation techniques. She is the recipient of the NSF CAREER Young Investigator Award (2024), the Amelia Earhart Fellowship from Zonta International, and summer faculty fellowships from both the Air Force Office of Scientific Research and the Naval Research Laboratory. She holds a patent for a tunable-stiffness bone implant.

Prof. Trond Kvamsdal is Professor of Mathematics at the Norwegian University of Science and Technology (NTNU) and Senior Research Scientist at SINTEF Digital. His work focuses on computational mathematics, numerical analysis, computational mechanics, isogeometric finite element methods, reduced-order modelling, and digital-twin technologies for engineering applications. He is also the president of ECCOMAS from 2025.

Kenjiro Terada is a Professor at Tohoku University, and the President of IACM. He earned his bachelor's from Nagoya University (1990), gained industry experience at Shimizu Corporation, and received his Ph.D. from the University of Michigan (1996). His research specializes in multiscale CAE and disaster simulation, and he is also a former President of the Japan Society for Computational Engineering and Science (JSCES).

Shabnam Semnani is an Assistant Professor in the Department of Structural Engineering at UC San Diego. She earned her PhD degree in Civil and Environmental Engineering from Stanford University. Semnani is broadly interested in combining experiments, mechanics, computational methods, statistics and artificial intelligence to address critical problems in energy, sustainability and resilience of the infrastructure and the built environment.

Olena Burkovska is a Staff Mathematician in the Multiscale Methods Group at Oak Ridge National Laboratory. She joined ORNL as a Householder Fellow in 2019. Prior to joining ORNL, she was a postdoctoral researcher at Florida State University and a visiting researcher at the University of Colorado Boulder. She received her Ph.D. in Mathematics from the Technical University of Munich. Olena's research interests include mathematical and numerical analysis, model order reduction, optimization, and machine learning. She has applied her expertise to a diverse range of fields, including materials science, plasma fusion, and quantitative finance.