Edward Carman
Edward Carman is a Lead Application Engineer at Ansys, part of Synopsys, specializing in engineering analysis and model-based approaches to product development, with a particular focus on packaging and deployment of physics-based simulation models into workflow automation, democratisation and digital twin applications.
Session
Digital twins are evolving from simulation models into adaptive, continuously improving representations of real systems. This talk introduces Ansys TwinAI™, part of the Synopsys portfolio, and outlines how the integration of JuliaHub's Dyad brings Scientific Machine Learning (SciML), differentiable programming, and physics-informed artificial intelligence into digital twin workflows. We will highlight the value of hybrid digital twins and present representative engineering use cases.