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Yifeng Li is an Adjunct Associate Professor and Research Officer at the University of Western Australia. His work involves exploring robust machine learning-based approaches in various applications, particularly in estimating the state of charge for vanadium redox flow batteries. His published research reflects his active engagement in advancing the field of machine learning. His academic contributions have garnered attention, indicated by a Scopus h-index of 3 and citation metrics that suggest his work is recognized within the academic community. He has a solid research output that includes peer-reviewed articles contributing to our understanding of energy storage technologies. Li's collaborative efforts extend his research impact, showcasing his commitment to innovation in his field. His affiliations and expertise within the university structure highlight his role in fostering academic inquiry and mentorship.
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