New Board Election > Mohammad Yazdani-Asrami
Dr Mohammad Yazdani-Asrami, University of Glasgow, UK
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- World‐leading expert in using artificial intelligence (AI) and big data techniques for applied superconductivity, including machine‐ and deep‐learning approaches for modelling of superconductors, surrogate models for design development of superconducting device, AI for condition monitoring of superconducting systems.
- Lead guest editor of focus issue on “Artificial Intelligence and Big Data for Superconductivity” in “Superconductor Science and Technology” journal.
- Chair of special session on “Artificial Intelligence for Large Scale Power Applications” in “2022 Applied Superconductivity Conference (ASC2022)”.
- Lead contributor in “data‐driven modelling of superconductor” subsection in COST Action project, CA19108.
- I believe the niche area that I am leading and working on would bring new momentum for HTS modelling workgroup by integrating advanced AI solutions, which makes modelling more efficient, and versatile.
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Link to CV
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