Learning And Signal Processing

Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtual reality services, data-efficient multi-arm bandit problems for online recommendation systems, graph-based reinforcement learning for AI systems, and influence maximization over social networks. Our research is at the crossroad between multimedia processing, machine learning, and signal processing.

We are hirying! 1 PhD position available at LASP on graph learning for volumetric video processing.
Check it out!