Minisymposium (ID: SS-MMCS)

Multiphysics and Multiscale Modelling of Complex Systems: Computational and AI Approaches

Sundeep Singh (University of Prince Edward Island) and Roderick Melnik (Wilfrid Laurier University)

This multidisciplinary session brings together researchers in applied mathematics, engineering, and computational science to explore advances in AI‑enabled modelling and simulation of coupled complex systems, with emphasis on multiphysics, multiscale, and data‑driven methods. Topics include computational modelling, design, and optimization of engineering systems across nano‑ to macro‑scales. Contributions related to energy and sustainable systems, including renewable energy modelling, energy conversion, and storage, are encouraged. The symposium also welcomes research in agricultural and bioresource systems and perspectives from biomedical engineering and bioinformatics, including biofluid mechanics, soft-tissue mechanics, and patient-specific modelling. This session highlights the growing role of AI, machine learning, and physics-informed methods in the analysis of complex systems.

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Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2026 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2026 Proceedings.

If you intend to submit your paper, please go to the AMMCS Proceedings Page. Follow exactly the Author Instructions accessible from that page.