MS342 - Engineering Challenges and Societal Transformation

Organized by: F. Annaz (Birmingham City University, United Kingdom) and M. Krzyzanowski (Birmingham City University, United Kingdom)
Keywords: Computational Mechanics, Digital twin, multiscale and multiphysics modelling, Sustainability
This minisymposium invites contributions that explore how advances in computational engineering, robotics, and mechatronics can address some of the most pressing global challenges. As societies face growing pressures from climate change, energy transitions, population growth, and technological disruption, engineering innovation is increasingly expected to deliver sustainable, scalable, and equitable solutions across multiple sectors. We welcome original work focused on the development and application of computational methods, including numerical simulations, multiphysics modelling, materials simulation, and data-driven approaches, to tackle real-world engineering problems. Particular emphasis is placed on high-integrity systems, smart actuators, reconfigurable robotic platforms, smart materials, autonomous robotics, and resilient infrastructure, which serve as critical enablers of societal transformation. Advances in integrated hardware-virtual environments, model-based design, and intelligent control systems are particularly encouraged. Cross-disciplinary perspectives are strongly encouraged. We welcome studies at the intersection of mechanical, electrical, and control systems, particularly those integrating AI, digital twins, or advanced materials to support adaptive and intelligent decision-making. Submissions addressing verification, validation, and certification challenges in safety-critical systems are also of interest, especially those bridging theoretical development with experimental implementation. Researchers working in aerospace, automotive, energy, healthcare, and sustainable urban systems are particularly invited to contribute. This minisymposium aims to provide a platform for forward-looking, computation-driven research that addresses engineering challenges and supports transformative societal outcomes through novel, scalable, and digitally integrated solutions.