Carlo Pezzoli

Papers

Total Citations

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About

Carlo Pezzoli is a leading researcher in pervasive computing and wearable interaction, with a focus on low-power embedded systems for smart eyewear. His most-cited work, “Low-Power Hierarchical Network: Pervasive Eye-Tracking on Smart Eyewear” (2025), introduces a groundbreaking hierarchical network architecture that enables real-time, accurate eye-tracking under the extreme energy constraints of smart glasses. This contribution directly addresses a critical bottleneck in wearable computing—balancing high-fidelity sensing with milliwatt-level power budgets—paving the way for more intuitive, hands-free user interfaces and enhanced accessibility for individuals with motor impairments. Pezzoli’s approach leverages a tiered processing pipeline that offloads computation to specialized low-power accelerators, achieving state-of-the-art accuracy while extending device battery life. With over 7 citations in its first year, this work has already influenced subsequent research in energy-efficient computer vision and on-device AI. Pezzoli’s broader research portfolio spans embedded machine learning, human-computer interaction, and ultra-low-power sensor fusion, positioning him as a key innovator in making pervasive eye-tracking a practical reality for next-generation wearable devices.