Salvador Castillo is an agricultural engineer specialising in food industry design and engineering, with a PhD in non-destructive technologies for fruit quality assessment developed at the Valencian Institute of Agricultural Research (IVIA) and the Polytechnic University of Valencia, Spain. His doctoral work focused on advanced sensing tools, including near-infrared spectroscopy, hyperspectral imaging, and CT scanning to evaluate fresh produce internally without physical damage. His career spans several leading European institutions, including Wageningen University & Research, KU Leuven, Wrocław University of Environmental and Life Sciences, and the Walloon Agricultural Research Centre, reflecting a strong commitment to international collaboration and interdisciplinary research. Currently, Salvador is a Research Fellow at Cranfield University, UK, where he applies artificial intelligence and deep learning to AI-driven phenotyping for potato research, developing data-driven pipelines for crop quality assessment and postharvest management. His published work is available via his ORCID: https://orcid.org/0000-0002-5248-5172 and his institutional profile at Cranfield University https://profiles.cranfield.ac.uk/3663-salvador-castillo-girones.