ECNS 2013 - 2013 Symposium on: Emerging Challenges in Network Sensing, Inference, and Communication

This symposium is focused on the fundamental challenges of network sensing, inference, and communication in the context of real-world network problems spanning multiple disciplines, including computer, biological, and social networks. In each of these application settings, scientists face a myriad of trade-offs related to efficient sampling, accurate inference in the presence of noise or missing data, principled incorporation of sparsity models, flexible and computable models of prior knowledge about network topology, and energy management. Despite these common challenges, however, the type of network considered has a substantial impact on how these challenges manifest and how they can be addressed. This symposium will be highly cross-disciplinary, and focused on (a) connecting researchers across different fields who are facing similar network inference challenges and (b) introducing signal processing researchers to specific network inference challenges arising in a variety of settings.
Submissions of at most 4 pages in two-column IEEE format are welcome on topics including:
Sparsity in network sensing, inference, and communication
Network structure inference from noisy observations
Network inference in the presence of missing data
Efficient sensing of network data
Energy management in networks
Complex network topology
Dynamics of networks
Flows on networks
Applications in communication networks
Applications in biological networks
Applications in social networks