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Sokratis Stergiadis is a leading researcher at the intersection of dairy science, nutritional quality, and digital agriculture. His work primarily investigates how dairy farming systems—from feeding intensity to milking technology—influence the nutritional composition of milk, with a focus on protein and fatty acid profiles, α-tocopherol, and carotenoid concentrations. His highly cited 2012 study (65 citations) provided critical evidence that intensification of dairy production can alter nutritionally desirable milk components, shaping debates on sustainable and health-conscious dairy farming. More recently, Stergiadis has been at the forefront of integrating artificial intelligence into the agrifood sector. His 2018 paper (44 citations) explores how data-driven decision-making can address pressing challenges in food security and climate change, while his 2024 work examines whether AI is a genuine game-changer or merely a trend in dairy farming. With a career spanning foundational nutritional research to cutting-edge digital innovation, Stergiadis’s contributions are guiding the future of smarter, more sustainable dairy production systems.