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[Bio-software] CFP: BICT 2014 Special Track on Artificial Intelligence and Software Engineering (AISE)

Shih-Hsi "Alex" Liu via bio-soft%40net.bio.net (by shliu from csufresno.edu)
Wed Jun 11 22:27:09 EST 2014

CFP: BICT 2014 Special Track on Artificial Intelligence and Software Engineering (AISE)

8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

December 1 (Mon) - December 3, 2014 (Wed)
Boston, MA, USA

In-corporation with ACM SIGSIM

As software engineering is required to address automation, adaptation, optimization and scalability issues, other computer science disciplines come to play. Artificial Intelligence is one of them that may bring software engineering into further height. Conversely, software engineering techniques can also play an important role to alleviate development cost and time of AI techniques as well as assist in introducing new AI techniques. Such mutual benefits have appeared in the past few decades and still evolved due to new challenges.

The objective of the special track on Artificial Intelligence and Software Engineering is to provide a forum for researchers and industry practitioners to exchange and discuss latest innovative synergy between AI and software engineering.  Namely, we are interested in AI solutions to software engineering challenges, software engineering practices to answer AI obstacles, and techniques that could benefit these realms bi-directionally.

This special track seeks high-quality original and unpublished papers in the following topics including but not limited to these topics:

* AI techniques for software engineering issues in emerging paradigms and systems such as big data, wearable computing, cloud computing and Internet of Things (IoT)
* AI techniques for optimization, transformation and configuration management
* AI techniques for software reuse, evolution, maintenance and refactoring
* AI techniques for reverse engineering and program comprehension
* AI techniques for concurrent/parallel software development and maintenance
* AI techniques for ontology and other semantic aspects in software engineering
* AI techniques for business process management and business rules
* AI techniques for aspect mining and pattern mining
* AI techniques for cost analysis and risk assessment in software projects
* Agent-based software engineering
* Visual modeling and model-driven development for AI techniques
* Domain modeling and software language engineering (e.g., domain-specific languages) for AI techniques
* Service-oriented computing and Cloud computing for AI-based techniques/software
* Object-oriented and aspect-oriented frameworks to implement and evaluate AI techniques
* Formal methods for AI techniques
* Rapid prototyping and scripting for AI techniques
* Software for knowledge acquisition and representation
* Software metrics applied to AI techniques
* Search engines in AI
* User interfaces for AI techniques

AI techniques of interest include (but are not limited to):

* Machine Learning (unsupervised and supervised learning)
* Evolutionary Algorithms (e.g. GA, GP, ES)
* Swarm Intelligence
* Simulated Annealing
* Tabu Search
* Probabilistic Reasoning
* Fuzzy Logic
* Neural Networks
* Petri Nets
* Data Mining
* Game Theory
* Time Series Analysis
* Logic and reasoning
* Knowledge representation
* AI planning


Regular paper submission due: August 4
Short and poster/demo paper submission due: September 22
Notification for regular papers: September 15
Notification for short and poster/demo papers: October 6
Camera ready due: October 13


Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2014/show/initial-submission for more details. 


All accepted paper will be published by Springer and submitted for indexing by SI, EI Compendex, Scopus, ACM Library, Google Scholar and many more. Selected papers will be considered for publication in leading journals including:

* ACM/Springer Mobile Networks and Applications
* Elsevier Information Sciences
* Int'l Journal of Software Engineering and Knowledge Engineering
* Elsevier Nano Communication Networks Journal
* Cloud-integrated Cyber-Physical Systems (Springer book)


Shih-Hsi "Alex" Liu
  California State University
  Fresno, USA
  shliu from csufresno.edu

Marjan Mernik
  University of Maribor
  marjan.mernik from uni-mb.si

Jun Suzuki
  University of Massachusetts, Boston
  Boston, MA, USA
  jxs from cs.umb.edu

Haiping Xu
  University of Massachusetts, Dartmouth 
  Dartmouth, MA, USA
  hxu from umassd.edu


Omar El Ariss, Penn State Harrisburg, USA
Ebrahim Bagheri, Ryerson University, Canada
Mohamed Bakhouya, Aalto University, Finland
Pruet Boonma, Chiang Mai University, Thailand 
Shih-Hsin Chen, Cheng Shiu University, Taiwan
Li-Wei Chen, National Kaohsiung Normal University, Taiwan
Deepak Dahiya, Jaypee University of Information Technology, India
Fei Dong, Google Inc., USA
Jeff Gray, University of Alabama, USA
Pedro Rangel Henriques, Universidade do Minho, Portugal 
Raphael Machado, National Institute of Metrology, Quality and Technology (Inmetro), Brazil
John McCrae, University of Bielefeld, Germany
Claude Moulin, Université de Technologie de Compiègne, France
Łukasz Radliński, West Pomeranian University of Technology, Poland
Rajeev Raje, Indiana University-Purdue University Indianapolis, USA
Sergio Segura, University of Seville, Spain
Stefan Wagner, Institute of Software Technology, University Stuttgart, Germany
Hiroshi Wada, NICTA, Australia
Jules White, Vanderbilt University, USA
Liguo Yu, Indiana University South Bend, USA
Wen Zhang, Institute of Software Chinese Academy of Sciences, China
Bin Zhou, University of Maryland, Baltimore County, USA
Yuming Zhou, Nanjing University, China

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