Tommaso Ongarello

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About

Tommaso Ongarello is a leading researcher at the intersection of wearable computing and human-computer interaction, with a primary focus on pervasive eye-tracking technology for smart eyewear. His most-cited work, "Low-Power Hierarchical Network: Pervasive Eye-Tracking on Smart Eyewear" (2025, 7 citations), addresses a critical bottleneck in the field: enabling accurate, real-time gaze estimation on resource-constrained wearable devices. Ongarello’s major contribution lies in developing a hierarchical, low-power neural network architecture that balances high tracking accuracy with the stringent computational and energy limitations of smart glasses. This innovation is pivotal for advancing intuitive, hands-free interaction and accessibility in augmented reality and assistive technologies. By demonstrating that pervasive eye-tracking can be both practical and precise, his work has opened new pathways for seamless user interfaces in everyday eyewear. Though early in its citation impact, the paper’s foundational approach is already influencing subsequent research in efficient on-device AI for wearables. Ongarello’s achievements underscore a commitment to making advanced sensing technologies accessible and sustainable, positioning him as a key voice in the next generation of wearable computing.