[Tccc] Workshop on Networking across disciplines : Communication Networks, Complex Systems and Statistical Physics (in IEEE ICC 2013) - DEADLINE EXTENDED to Jan.25

Iordanis Koutsopoulos jordanatuth.gr
Thu Jan 10 09:28:49 EST 2013



 ------------------------------------------------------------------------------------------------------------  

CALL FOR PAPERS 
Workshop on :
Networking across disciplines: Communication Networks, 
Complex Systems and Statistical Physics
(NETSTAT 2013) 
http://netstat-workshop.com/
Held in conjunction with ICC 2013, Budapest, Hungary

(SUBMISSION DEADLINE EXTENDED to Jan.25, 2013)
=================================================================

KEYNOTE SPEAKERS
----------------
Marc Mezard, Ecole Normale Superieure
John S. Baras, University of Maryland, College Park

SCOPE
---------
Communication networks experience a culmination in their evolution, as they 
have 
evolved into multifarious architectural paradigms (such as sensory, mobile 
ad-hoc, 
wireless peer-to-peer or femto-cell based), while a myriad of heterogeneous 
devices 
create a networked environment of unprecedented complexity. Parallel to that, 
social networking creates a stratum of user interaction that has a profound 
impact 
on the way information is accessed and retrieved. The increasing quest for 
information 
in today's networked world, together with the need to efficiently access, 
handle 
and transport the torrents of information call for real-time online decision 
making 
and optimal control, oftentimes amidst partial state information. A more 
efficient 
use of network resources becomes increasingly more important, due to the 
substantial energy consumption by communication systems in general, and by 
routers 
in particular, and increasing pressure on existing infrastructure. Complex 
behaviors 
are anticipated as more entities become embedded in the massive internet 
infrastructure, giving rise to non-trivial microscopic interactions which in 
turn 
influence global system behaviors at the macroscopic level. 
Statistical physics aims at understanding the collective behavior of large 
disordered 
systems of heterogeneous, randomly interacting components that engage in 
localized 
interactions. It provides a solid framework for studying how small-scale 
randomness 
generates global-scale phenomena like phase transitions, which are essentially 
nonrandom and are governed by system parameters and external conditions. 
Recent success stories in understanding the nature of hard combinatorial 
problems 
attest to the strong potential of insights offered by statistical physics. The 
decoding process of Shannon-capacity approaching codes in digital communication 
and 
the construction of new codes benefitted from such insights. Belief propagation 
approaches that emanate from statistical physics have facilitated the landmark 
achievement of reaching the information theoretic capacity in different types 
of noisy channels. 
The NETSTAT workshop aims at bringing together individuals from a number of 
communities 
such as communication theory, information theory, networking, and statistical 
physics 
with the following objectives: 
* Delineate a common foundational framework at the interface between these 
disciplines
* Harness techniques that are inspired from statistical physics principles to 
advance 
state of the art in information communication theory and network optimization 
problems 
* Propose methods that remove the barrier of combinatorial complexity in 
network control 
problems by leveraging statistical physics based techniques 
* Enhance statistical physics methodologies with a pragmatic view dictated by 
networking problems and rigorous approaches by the information theory community.

TOPICS OF INTEREST
----------------------------
Original contributions are solicited in areas that include (but are not limited 
to) the following:
* Statistical physics inspired techniques for communication network modeling 
and 
resource allocation
* Information Communication theory and statistical physics
* Network inference problems and approaches based on statistical physics
* Non-cooperative and cooperative game models for networks
* Compressed sensing and application in networking problems
* Statistical physics inspired techniques for social networking problems
* Applications of belief propagation techniques in wireless networking, in 
information 
theory, and in digital communication
* Phase transition phenomena in digital communications and networking
* Disordered systems, glass systems theory and other statistical physics 
principles, 
and their applications to information theory and networking
* Network inference problems

IMPORTANT DATES
--------------------------
* Paper submission deadline: January 25, 2013 (Extended deadline) 
* Paper acceptance notification:February 22, 2013
* Camera-ready papers due: March 8, 2013
* Workshop date: June 9 or 13 (TBD), 2013

COMMITTEES
------------------
Workshop Co-Chairs:
* Iordanis Koutsopoulos (University of Thessaly and CERTH, Greece)
* David Saad (Aston University, UK)

Technical Program Committee:
-----------------------------------
* Dimitrios Achlioptas, National Kapodestrian University of Athens
* Tansu Alpcan - University of Melbourne
* Erik Aurell - KTH, Stockholm 
* John S. Baras - University of Maryland College Park 
* Misha Chertkov - Los Alamos National Lab 
* Silvio Franz- Universit Paris-Sud 
* Leonidas Georgiadis - Aristotle University of Thessaloniki 
* Paolo Giaccone - Politecnico di Torino
* Dongning Guo - Northwestern University, Chicago 
* Yoshiyuki Kabashima, Tokyo Tech.
* Igor Lerner - Birmingham University 
* Emilio Leonardi - Politecnico di Torino 
* Enzo Marinari - Universita Roma La Sapienza 
* Neri Merhav - Technion, Haifa, Israel 
* Andrea Montanari  Stanford 
* Aris Moustakas - National Kapodestrian University of Athens 
* Ralf Mller -Norwegian Univ. of Science & Technology 
* Georgios Rodolakis, CERTH 
* Toshiyuki Tanaka - Kyoto University 
* Leandros Tassiulas - University of Thessaly and CERTH
* Stavros Toumpis - Athens University of Economics and Business 
* Rudiger Urbanke, EPFL 
* Michael Wong - Hong Kong University of Science and Technology 
* Igor Yurkevich - Aston University 
* Riccardo Zecchina, Politecnico di Torino 
* Haijun Zhou - Chinese Academy of Science, Beijing
_______________________________________________
IEEE Communications Society Tech. Committee on Computer Communications
(TCCC) - for discussions on computer networking and communication.
Tccc at lists.cs.columbia.edu
https://lists.cs.columbia.edu/cucslists/listinfo/tccc 




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