Paolo Crippa

Papers

Total Citations

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About

Paolo Crippa is a researcher at the forefront of embedded artificial intelligence and cyber-physical security, with a particular focus on the intersection of autonomous systems and low-power computing. His work addresses critical challenges in deploying intelligent vision systems on resource-constrained devices, where real-time performance and energy efficiency are paramount. Crippa’s most cited contributions include a pioneering study on “Cyber Security and Drones” (2022, 2020), which has garnered 4 citations for its examination of vulnerabilities in unmanned aerial systems—a rapidly expanding domain where safety and privacy concerns are escalating. Additionally, his 2023 paper on “An U-Net Semantic Segmentation Vision System on a Low-Power Embedded Microcontroller Platform” (3 citations) demonstrates a practical breakthrough: implementing state-of-the-art deep learning segmentation on a microcontroller, a feat that enables autonomous navigation and object detection in drones and robots without relying on cloud computing. This work directly addresses the latency and computational constraints of smart vehicles, showcasing Crippa’s ability to bridge theoretical advances with real-world deployment. His research is particularly notable for its focus on embedded platforms, making AI accessible for edge devices while maintaining robust security protocols.