
Current
Edge Caching for Vehicular Networks (VANET)
Learning-based content caching strategies for vehicular ad-hoc networks, integrating SDN/NDN paradigms, clustering, and spiking neural networks.
Current and past research projects. Filter by status or research theme.

Learning-based content caching strategies for vehicular ad-hoc networks, integrating SDN/NDN paradigms, clustering, and spiking neural networks.

Deep and multi-agent reinforcement learning for intelligent traffic signal control, trained in rich 3D simulation and transferred to real-world networks.