My research aligns with HTS Modelling Workshop. My research interests are multiphysics modelling of HTS applications, particularly superconducting transformers, cables, fault current limiters, and machines across transportation application and energy systems. The work centres on coupled electromagnetic–thermal-mechanical models to analyse AC losses, quench, current distribution, and transient performance under both normal and fault conditions. I work on the design, optimisation, protection, and performance evaluation of superconducting devices, via H-formulation, T-A, H-phi method and equivalent-circuit modelling.
I am interested in integrating physics-based and AI-based methods to develop accurate, computationally efficient modelling tools for next-generation superconducting energy and electrical systems. This includes applying machine learning, surrogate modelling, and data-driven approaches to accelerate computationally heavy simulations, improve design optimisation, and enable diagnostics, condition monitoring, and digital-twin development.
My google scholar h-index is 23, and i10 index is 46, since 2015.
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