CSI 2013 - 2013 Symposium on: Controlled Sensing For Inference: Applications, Theory and Algorithms

The GlobalSIP symposium on Controlled Sensing for Inference, to be held in Austin Texas in December 2013, invites research papers from scientists, engineers, and research Scholars. The IEEE Global Conference on Signal and Information Processing (GlobalSIP), which hosts co-located symposia, is a new flagship IEEE Signal Processing Society conference that will focus on signal and information processing and up-and-coming signal processing themes.
The symposium welcomes papers across several disciplines in information sciences around the common theme of Controlled Sensing for Inference, which is concerned with the control and management of different sensing assets in information gathering systems towards achieving a particular inference task. The task of developing a new science for controlled sensing is a daunting task and is only possible through the contributions and the innovations across the different disciplines of information sciences, including signal processing, information theory, network computation, control, detection and estimation and algorithms, and through the complementary roles of basic and applied research. The goal of this symposium is to bring together key researchers from different research communities to focus on the theme of controlled sensing and sensor management for inference. This symposium is a one-day symposium that will consist of 3-mini plenary talks given by reputed researchers in the field, and 2 sessions for both contributed and invited technical papers spanning a broad range of topics in basic and applied research. All technical presentations will be in the poster format. Each poster session will be 1.5-2 hours in duration, and will consist of high quality invited and contributed papers. Accepted papers will appear in the proceedings of GlobalSIP-Symposium on Controlled Sensing for Inference: Applications, Theory and Algorithms.
Submissions of at most 4 pages in two-column IEEE format are welcome on topics including:
Sensor Management for tracking
Sensor Management for detection, estimation, and classification
Management of heterogeneous sensing resources
Data-driven and non-parametric inference methods
Information collection, processing and fusion
Fundamental limits of sensing systems
Applications of controlled sensing to infrastructure monitoring
Controlled sensing for medical imaging
Radar and surveillance applications
Controlled sensing in social networks