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From Mobility Data to Public Health Signals

Can passively collected mobile-network data reveal useful public-health signals during an epidemic, without apps, contact tracing, or individual diagnosis? We...

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TWINERGY: Digital Twin Empowered Practical Energy Saving in Heterogeneous Mobile Networks

Energy consumption has become a pressing concern as mobile networks expand rapidly, with the radio access network accounting for the...

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La ciencia ante los desastres naturales en La Noche Europea de los Investigadores e Investigadoras de Madrid 2026

¿Qué puede hacer la ciencia cuando ocurre un incendio, una inundación, un terremoto o un accidente? En esta actividad de...

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MULTI-FI: Enhancing Wi-Fi Sensing Accuracy via Multi-view and Context Fusion

Wi-Fi sensing enables innovative applications in healthcare and surveillance by providing continuous, contactless monitoring through existing infrastructure. Moreover, exploiting information...

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PIXEurope Pilot Line to enable Photonics in Spain and Europe

I will present the PIXEurope Pilot Line, a recently started 400MEuro initiative under the Chips JU, that aims at developing...

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Defensa Tesis Doctoral: Scalable and Explainable Deep Neural Network Frameworks for Mobile Traffic Forecasting

This thesis investigates how deep neural networks can support reliable mobile traffic forecasting for 5G and future mobile networks. Accurate...

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Towards Scalable In-Network Inference

Programmable ASICs enable stateful network functions at line rate, including emerging in-network inference tasks. However, limited on-chip SRAM constrains the...

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Disentangling Simultaneous Spatiotemporal Events in Mobile Network Traffic Data: The Case of the 2025 UEFA Champions League Final

Large-scale social gatherings often generate distinctive patterns of activity in mobile networks due to the concentration of a substantial amount...

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XR Beyond the Headset

Extended Reality (XR) is emerging as a new human-to-machine interface, with lightweight smart glasses expected to complement — and in...

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Human-AI Collaboration for Adaptive Learning and Assisted Healthcare

This talk presents several applied AI systems designed to augment human capability in education and healthcare. Rather than replacing human...

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