Content Gazette - September 2012 - 19

Call for Papers

IEEE Signal Processing Society

IEEE Journal of Selected Topics in Signal Processing

Special Issue on Learning-Based Decision Making in Dynamic Systems under Uncertainty
The design of dynamic systems for many emerging applications faces increasing uncertainty: in cognitive
radio systems for dynamic spectrum access, secondary users need to detect and exploit temporally and
spatially varying spectrum white space under incomplete, inaccurate, and even unknown models of
spectrum occupancy, noise, and fading; in large-scale wireless sensor networks with random deployment,
low-cost battery-powered sensors need to function collectively without assuming a priori knowledge of the
network topology or the communication environment; in cyber systems, intrusion detection algorithms need
to counter increasingly sophisticated attacks that may not follow a well behaved stochastic model and may
react in real time to the detection scheme. In designing such dynamic systems, learning becomes a crucial
part of decision making; actions cannot be predetermined but rather must adapt to past observations
obtained through interactions with the environment..
This special issue covers both theories and applications of learning-based stochastic optimization and
decision making. It focuses on learning and decision-making techniques that emphasize the temporal
dynamic nature of the underlying system and adapt and improve over time through active interactions with
the system. Original unpublished contributions are solicited in the following non-exhaustive list of topics.
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Stochastic optimization and control under incomplete, inaccurate, or unknown models.
Sequential decision making, adaptive control, Markov decision processes under uncertainty.
Reinforcement learning, Q-learning in dynamic systems.
Stochastic online learning, multi-armed bandit problems.
Sample-path-based learning, event-based sequential optimization.
Distributed learning, control, and decision making.
Learning and optimization under resource and computational constraints.
Applications in various dynamic systems.

Prospective authors should visit http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for
information on paper submission. Manuscripts should be submitted using the Manuscript Central system at
http://mc.manuscriptcentral.com/jstsp-ieee. Manuscripts will be peer reviewed according to the standard
IEEE process.
Manuscript submission due:
First review completed:
Revised manuscript due:
Second review completed:
Final manuscript due:

Oct. 1, 2012
Jan. 1, 2013
Feb. 1, 2013
Apr. 1, 2013
Apr. 20, 2013

Lead guest editor:
Qing Zhao, University of California, Davis, USA, qzhao@ucdavis.edu
Guest editors:
Edwin Chong, Colorado State University, Fort Collins, USA, edwin.chong@colostate.edu
Bhaskar Krishnamachari, University of Southern California, USA, bkrishna@usc.edu
Amir Leshem, Bar-Ilan University, Israel, leshema@eng.biu.ac.il
Sean Meyn, University of Florida, USA, meyn@ece.ufl.edu
Venugopal V. Veeravalli, University of Illinois, Urbana-Champaign, USA, vvv@illinois.edu

www.signalprocessingsociety.org

[19]

SEPTEMBER 2012

http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ http://mc.manuscriptcentral.com/jstsp-ieee http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - September 2012