• Management of complex networks: distributed transport layer (video caching), very dense MIMO, network coding and content sharing

• Applications of game theory to complex networks: network formation based on individual incentives, exchange of information and services, collaboration via social recognition

• Epidemic models: spread of viral content, characterization of security threats in distributed systems, cellular automata

• Brain networks and their structure: distributed signal processing, clustering of neurons

This topic addresses the application of advanced machine-learning techniques and, in particular, of generative unsupervised neural networks to the network optimization (see http://dx.doi.org/10.1109/ACCESS.2015.2471178).

• MAC/routing protocols design for mmwave and full-duplex communications

• Dynamic content caching and distribution

• Performance optimization in HetNet scenarios

• Context-aware protocol design

• Predictive and context-aware handover strategies

• Alternating direction method of multipliers (ADMM) approaches for non-convex distributed optimization problems. We are interested in identifying efficient methods to solve a (non convex) minimization problem in a fully decentralized way, that is in such a way that only local parameters exchanges between neighbor nodes or neighbor regions are allowed.

• Advanced video streaming techniques for peer-to-peer networks

• Colour image processing

• Multimedia forensics

Homepage: http://lttm.dei.unipd.itPeople: Giancarlo Calvagno (Contact person), Simone Milani, Pietro Zanuttigh

The research activity covers several aspects of the image, video and 3D data processing, analysis and coding. In particular, the research group is active on several aspects of the acquisition, processing and coding of three-dimensional representations.