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

Legacy neural critics provide no mechanism to weight value estimates by domain properties practitioners already know matter, where every distinction...

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

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

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

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

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

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

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

The continuing and expanding popularity of Artificial Intelligence (AI) is driving immense energy demands at a global scale. Sustainability and...