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About

Luigi Capogrosso is at the forefront of the Tiny Machine Learning (TinyML) revolution, a field that is reshaping how artificial intelligence is deployed on resource-constrained Internet of Things (IoT) devices. His most-cited work, a comprehensive survey on TinyML (2024), has garnered 117 citations, establishing him as a leading voice in this emerging domain. Capogrosso’s research focuses on the co-design of hardware and software architectures, enabling powerful learning-based systems to operate efficiently on low-power, edge devices—a critical advancement for the fourth and fifth industrial revolutions. Beyond TinyML, he addresses pressing challenges in Industry 4.0, particularly in enhancing safety and privacy, as demonstrated in his case study on the ICE Laboratory. His contributions are not only technical but also practical, bridging the gap between cutting-edge AI and real-world industrial applications. By promoting the democratization of AI through TinyML, Capogrosso is paving the way for smarter, safer, and more sustainable autonomous systems, making his work essential reading for researchers and students interested in the future of embedded intelligence.