4th IACM Digital Twins in Engineering Conference (DTE 2027)
Computational mechanics and AI-driven digital twin research
About this event
The 4th IACM Digital Twins in Engineering Conference brings computational mechanics and AI researchers to Yokohama, chaired by Yoshitaka Wada of Kindai University and Koji Fukagata of Keio University. Confirmed plenary speakers include Steve Brunton (University of Washington) on physics-aware AI, Karen Willcox (UT Austin) on uncertainty quantification in predictive digital twins, and Francisco Chinesta (Arts et Metiers) on physics-aware generative design, alongside eight semi-plenary talks spanning reduced-order modelling, data assimilation and machine learning for fluid and structural simulation.
Who it's for
DTE 2027 is aimed at researchers, engineers and students working in computational mechanics, data-driven modelling and AI for digital twins, spanning academia, industry and government. The programme includes dedicated activities for young researchers and students alongside plenary and semi-plenary lectures from senior figures in the field.