[agents] CFP: Artificial Intelligence and Software Engineering (AISE) at BICT 2015

[Jun Suzuki]

CFP: BICT 2015 SPECIAL TRACK ON ARTIFICIAL INTELLIGENCE AND SOFTWARE 
ENGINEERING (AISE)

9TH INTERNATIONAL CONFERENCE ON BIO-INSPIRED INFORMATION AND 
COMMUNICATIONS TECHNOLOGIES (FORMERLY BIONETICS)

DECEMBER 3 (THU) - DECEMBER 5, 2015 (SAT)
NYC, NY, USA

Sponsored by European Alliance for Innovation (EAI) and Department of 
Biomedical Engineering at the Columbia University School of Engineering 
and Applied Science

In-corporation with ACM (Pending)

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 help in 
solve some challenges currently facing software engineering research and 
practice. 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 evolve due to new 
challenges.

The objective of the special track on Artificial Intelligence and 
Software Engineering (AISE) 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This special track seeks high-quality original and unpublished papers in 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

IMPORTANT DATES
Regular paper submission due: August 3
Short and poster/demo paper submission due: September 22
Notification for regular papers: September 21
Notification for short and poster/demo papers: October 1
Camera ready due: October 15

PAPER SUBMISSION
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 the ACM format. Up to two extra pages are allowed for each paper with 
extra page charges. See 
http://bionetics.org/2015/show/initial-submission for more details.

PUBLICATION
All accepted paper will be published by ACM and submitted for indexing 
by SI, EI Compendex, Scopus, ACM Library, Google Scholar and others. 
Selected papers will be considered for publication in leading journals 
including:
•	Elsevier Information and Software Technology
•	Elsevier Information Sciences
•	Springer Software Quality
•	IEEE Transactions on NanoBioscience
•	ACM/Springer Mobile Networks and Applications
•	Elsevier Nano Communication Networks Journal
•	Springer Complex Adaptive Systems Modeling (CASM)
•	International Journal of Soft Computing and Networking

TRACK CO-CHAIRS
Richard Torkar
Chalmers and the University of Gothenburg
Sweden
richard.torkar at gu.se

Robert Feldt
Blekinge Institute of Technology
Sweden
robert.feldt at bth.se

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

PC MEMBERS
Wasif Afzal, MDH, Sweden
Shaukat Ali, Simula, Norway
Lefteris Angelis, Aristotle University, Greece
Omar El Ariss, Penn State Harrisburg, USA
Ebrahim Bagheri, Ryerson University, Canada
Lionel Briand, LUX, Luxembourg
Li-Wei Chen, National Kaohsiung Normal University, Taiwan
Shih-Hsin Chen, Cheng Shiu University, Taiwan
Kehan Gao, Eastern Connecticut State University, USA
Pedro Rangel Henriques, Universidade do Minho, Portugal
Petra Hofstedt, Brandenburg University of Technology Cottbus, Germany
Fuyuki Ishikawa, National Institute of Informatics, Japan
Niklas Lavesson, BTH, Sweden
Shih-Hsi Alex Liu, California State University, Fresno, USA
Raphael	Machado, National Institute of Metrology, Quality and Technology 
(Inmetro), Brazil
Phil McMinn, University of Sheffield, UK
Nikolaos Mittas, TEI of Kavala & Aristotle Univ., Greece
Francisco Gomes de Oliveira Neto, UFCG, Brazil, netojin at gmail.com
Simon Poulding, BTH, Sweden
Rajeev Raje, Indiana University-Purdue University Indianapolis, USA
Sergio Segura, University of Seville, Spain
Cédric Tedeschi, IRISA - Campus de Beaulieu, France
Jerffeson Teixeira de Souza,  State University of Ceara, Brazil
Tatsuhiro Tsuchiya, Osaka University, Japan
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
Neil Walkinshaw, University of Leicester, UK
Hiroshi Wada, Unitrends, Australia
Hironori Washizaki, Waseda University, Japan

-- 
Jun Suzuki
   Associate Professor of Computer Science
   University of Massachusetts, Boston
   jxs at cs.umb.edu
   http://www.cs.umb.edu/~jxs/
   http://dssg.cs.umb.edu/
   @JunSuzukiBoston