Engineering organizations across industries are facing unprecedented demands to deliver increasingly complex products with greater speed, higher performance, and enhanced reliability. As technologies continue to converge and traditional development timelines shrink, multiphysics simulation has emerged as a critical enabler of innovation, providing deeper insight into the interactions between physical phenomena and supporting more informed engineering decisions throughout the product lifecycle.
This panel session will bring together leading experts from industry and academia to explore how multiphysics simulation is evolving to address these challenges. Panelists will share perspectives on the latest advances in coupled physics methodologies, reduced-order and multi-fidelity modeling approaches, verification and validation strategies, and the growing role of artificial intelligence and machine learning in enhancing predictive capabilities and improving engineering efficiency.
The discussion will also examine the practical realities of deploying multiphysics simulation within organizations, including data integration, model management, scalability, and the skills required to adopt these technologies successfully. Through real-world experiences and forward-looking insights, the panel will highlight emerging trends, identify current technical gaps, and discuss opportunities to accelerate innovation through more intelligent and connected simulation practices.
Attendees will gain a broader understanding of how multiphysics simulation is shaping the future of engineering across diverse application domains, and how organizations can leverage these capabilities to develop the next generation of products and systems with greater confidence, agility, and impact.
Panel Session Chair
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