Matteo Sorci

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

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About

Matteo Sorci is a leading researcher in embedded vision systems, edge computing, and intelligent sensor networks. His work focuses on designing low-power, high-performance platforms that integrate computer vision and connectivity into small, cost-effective devices. Sorci’s most cited paper, “Eyes of Things” (2017, 22 citations), introduces a novel framework for embedded vision systems that balance classic constraints—like ruggedness and low energy—with modern demands for real-time data processing and wireless communication. This contribution has been pivotal in advancing smart cameras and IoT devices, enabling applications from autonomous drones to industrial monitoring. Beyond this, Sorci has explored adaptive algorithms for visual recognition in resource-constrained environments, earning recognition for bridging hardware and software innovation. His research, cited across engineering and computer science fields, underscores a commitment to making intelligent vision ubiquitous. Notable achievements include leading collaborative EU projects and developing prototypes that demonstrate practical, scalable solutions for next-generation embedded systems.