Archives: Events

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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PhD Thesis defense: 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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Spatiotemporal Characterization of Campus Wi-Fi Activity during the Iberian Peninsula Blackout

On April 28, 2025, the Iberian Peninsula experienced its most severe electrical grid failure on record, causing widespread disruption across...

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A First Look at Operational RAN Updates and Their Impact on Carrier Traffic Demands and Prediction

Radio Access Networks (RANs) are critical infrastructures that mobile operators continuously upgrade to accommodate increasing data traffic demands, stricter performance...

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SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control

Deep Reinforcement Learning (DRL) is a promising tool for adaptive network control, but most DRL agents remain reactive: they make...

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