معرفی
Elías Cueto is a Professor at the University of Zaragoza's Mechanical Engineering department and Director of the ESI Group-UZ Chair of the National Strategy on Artificial Intelligence. His work spans computational mechanics, data-driven simulations, and AI integration in engineering.
- Current affiliations: University of Zaragoza, Aragon Institute of Engineering Research
Research Interests include:
- Meshless and PGD methods
- Real-time simulation and forming processes
- Computational surgery and digital twins
- Scientific machine learning and data assimilation
Scientific Awards:
- Juan C. Simo Prize (2005)
- ESAFORM Scientific Prize (2006)
- CETIM Foundation Prize (2007)
- O. C. Zienkiewicz Award (2012)
- EAMBES Fellow (2020)
- IACM Fellow (2022)
He leads projects on AI sustainability, physics-informed digital twins, and democratizing numerical simulation. His work combines computational mechanics with cutting-edge AI techniques for real-time engineering applications.
حوزههای پژوهشی
Computational MechanicsMeshless MethodsNumerical Simulation of Forming ProcessesComputational RheologyModel Order ReductionProper Generalized Decomposition (PGD)Computational SurgeryReal-Time SimulationData-Driven Computational MechanicsScientific Machine LearningDigital TwinsHybrid TwinsInternet of Robotic Things
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