[ecoop-info] TAAS - Call for Papers

Ivan Rodero irodero at cac.rutgers.edu
Mon Feb 3 22:11:50 CET 2014


Please accept our apologies if you receive multiple copies of this CFP!


Call for Papers
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Aim and Scope: The ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects related to all those complex ICT systems that have to serve – in autonomy and with capabilities of autonomous adaptation – in highly dynamic socio-technico-physical environments.  
TAAS addresses research on autonomous and adaptive systems being undertaken by an increasingly interdisciplinary research community -- and provide a common platform under which this work can be published and disseminated. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems and of their behaviors. Contributions are expected to be based on sound and innovative theoretical models, algorithms, engineering and programming techniques, infrastructures and systems, or technological and application experiences.
Call for Papers: TAAS invites authors to submit original and unpublished articles that are written in English and on topics that are within the scope of the journal. Paper should have an introductory part that is comprehensible by a non-expert, and should reference up-to-date related literature. Papers can be up to 10000 words (20 printed pages) in length – papers exceeding this limit will have to either be shortened, or have to move some of the material to an appendix that will only be published online. Additional information can be found at http://taas.acm.org/authors.html.
Expected Turnaround Times: Currently, the average review turnaround time (the time from article submission to first notification) is approximately 2 months and the time from acceptance to publication is now typically less than 6 months for papers requiring revision. Additional statistics can be found at http://dl.acm.org/pub.cfm?id=J1010.
Editorial Board:

Manish Parashar, Rutgers University, USA
Franco Zambonelli, University of Modena e Reggio Emilia, Italy

Associated Editors

Tarek Abdelzaher, University of Illinois at Urbana Champaign, USA
Ozalp Babaoglu, University of Bologna, Italy
Luciano Baresi, Politecnico di Milano, Italy
Jake Beal, BBN Technologies and MIT, USA
Simon Dobson, St Andrews University, UK
Marco Dorigo, Universite Libre de Bruxelles, Belgium
Indy Gupta, University of Illinois, Urbana-Champaign, USA
Salima Hassas, University of Lyon, France
Anthony Karageorgos, University of Thessaly, Greece
Michael Luck, University of Southampton, UK
Julie Mc Cann, Imperial College London, UK
Andrea Omicini, University of Bologna, Italy
Jeremy Pitt, Imperial College London, UK
Omer F. Rana, University of Cardiff, UK
Onn Shehory, IBM Haifa Research Lab and Bar Ilan University, Israel
Roy Sterritt, University of Ulster, UK
H. Van Dyke Parunak, Jacobs Technology Inc., USA
Dongyan Xu, Purdue University, USA

Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)                                                         
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering            
Rutgers, The State University of New Jersey   
Office: CoRE Bldg, Rm 625                                                       
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax:   (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/people/irodero
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