CEDAR email: CFP: Paper submission deadline: November 18, 2013; International Conference on Computational Science & Computational Intelligence (CSCI'14 - March 10-13, 2014, USA)

[Conference Secretariat]

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                             CALL  FOR  PAPERS
             The 2014 International Conference on Computational
                Science and Computational Intelligence (CSCI)

Paper Submission Deadline: November 18, 2013
Conference Dates: March 10-13, 2014, Las Vegas, USA
Conference URL: http://www.americancse.org/events/csci2014
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Publisher: CPS ( http://www.computer.org/portal/web/cscps/home )
Copyright: http://www.ieee.org/publications_standards/publications/rights/copyrightpolicy.html

DEADLINES - DATES:
==================

   November 18, 2013: Submission of Papers (see below for instructions)
   December 17, 2013: Notification of acceptance
   January 10, 2014:  Final papers and Registration
   March 10-13, 2014: The 2014 International Conference on Computational
                      Science and Computational Intelligence (CSCI)

SCOPE AND LIST OF TOPICS:
=========================

The 2014 CSCI International Conference invites paper submissions from diverse
communities, including researchers from: universities, corporations, government
agencies, and standardization bodies. Accepted papers will be published in the
conference proceedings by Computer Society's CPS (IEEE will own the copyrights).
Papers are sought that address solutions to problems in all areas of
computational science and computational intelligence. Topics of interest
include:

1. COMPUTATIONAL SCIENCE:

- Big Data and Data Analytic:
  Software and hardware architectures; Big Data visualization; Services;
  Data analytics; toolkits; open platforms; business processes; Managing,
  analyzing, and using large volumes of structured and/or unstructured data;
  Simulation and modeling; Consumerization of Big Data; Big Data in social
  media; Big Data and decision sciences and analytics; Data and text mining;
  Crowdsourcing; Case studies; and Applications.

- Image Processing and Computer Vision
  Multi-resolution vision techniques; Machine learning technologies for
  vision; Active and robot vision; Cognitive and biologically inspired
  vision; Dimensionality reduction methods in pattern recognition;
  Classification and clustering techniques; Statistical pattern recognition;
  Image-based modeling and algorithms; Illumination and reflectance modeling;
  Motion and tracking algorithms; Biometric authentication; Medical image
  processing and analysis; Segmentation techniques; Geometric modeling and
  fractals; Image data structures and databases; Image compression, coding,
  and encryption; Image feature extraction; Novel document image
  understanding techniques; Enhancement techniques; Novel noise reduction
  algorithms; Mathematical morphology; 3D imaging; Watermarking methods and
  protection; Wavelet methods; Image restoration; Shape representation; Video
  analysis; Indexing and retrieval of images; Object recognition; and
  Case studies and applications.

- High Performance Computing and Communication Systems:
  Cluster computing; Supercomputing; Cloud computing; Autonomic computing;
  P2P computing; Mobile computing; Grid computing; Parallel/distributed
  architectures and algorithms; Networks and interconnection networks;
  Reliability and fault-tolerance; The use of building block processors;
  Real-time and embedded systems; Multimedia communications, systems, and
  applications; Software tools and environments for computational science;
  Performance analysis, evaluation and monitoring; Wireless networks and
  distributed systems; FPGA, multicore, GPU, SOC and applications;
  Nanotechnology in HPC; High-performance mobile computation and
  communication; Petri Nets; Web-based simulation and computing; Emerging
  technologies; Scientific computing.

- Modeling, Simulation and Visualization Methods:
  Computational modeling and simulation in science and engineering;
  Molecular modeling and simulation; Simulation languages and tools;
  Performance modeling; Information and scientific visualization; Modeling
  methodologies; Visual interactive simulation and modeling; Visualization
  tools and systems for simulation and modeling; Process, device, circuit
  simulation and modeling Multi-level modeling; CAD/CAE/CAM; Agent based
  simulation; Analytical and stochastic modeling techniques and applications;
  Chaos modeling, control and signal transmission; Simulation of complex
  systems; Simulation of intelligent systems; Vision and visualization;
  Prototyping and simulation; Biomedical visualization and applications;
  Discrete and numeric simulation; Internet, web and security visualization;
  Virtual reality and simulation; Object oriented and knowledge-based
  simulation.

- Information and Knowledge Engineering:
  Information retrieval systems and databases; Information and knowledge
  structures; Knowledge management and cyber-learning; Information
  reliability and security; Knowledge mining; Knowledge classification
  tools; Knowledge representation and acquisition; Large-scale information
  processing methods; Intelligent knowledge-based systems; Aspect-oriented
  programming; Formal and visual specification languages; Decision support
  and expert systems; Ontology engineering, sharing and reuse; Ontology
  matching and alignment; Agent-based techniques and systems; Workflow
  management; Large-scale information processing methods and systems;
  Database engineering and systems; Data-web models and systems; Data
  warehousing and datacenters; Data security and privacy issues; Quantum
  information theory; Natural language processing; Information integration;
  Domain analysis and modeling; Web services; Semantic web.

- Algorithms and Methods:
  Monte Carlo methods and applications; Numerical methods and simulation;
  Quantum computing; Computational number theory; Optimization and
  approximation methods; Probabilistic and randomized methodologies;
  Computational geometry; Computational biology; Computational chemistry;
  Computational fluid dynamics; Computational physics; Computational
  mechanics; Computational electromagnetics and computational
  electrodynamics; computational sociology; Splines and wavelets;
  Inversion problems; Cellular automata; Ordinary and partial differential
  equations; Stochastic differential equations; Finite element methods;
  Multi-level and Multi-grid methods; Operational research; Dynamical
  systems; Nonsymmetric solvers; Engineering problems and emerging
  applications.

2. COMPUTATIONAL INTELLIGENCE:

- Fuzzy Logic Systems:
  Fuzzy logic and fuzzy set theory; Computing with words; Neural-fuzzy
  systems; Fuzzy and rough data analysis; Fuzzy optimization and design;
  Fuzzy decision making; Systems modeling and identification; Systems
  architectures and hardware; Control and systems; Fuzzy logic applications.

- Big Data and Data Analytic:
  Big Data Services; Optimization and data analytics; Machine learning
  technologies; Knowledge extraction and business processes; Big Data to
  knowledge mapping; Information engineering; Big Data and decision
  sciences; Data and information mining; Case studies; and Applications.

- Neural Networks:
  Neural network theory and models; Evolutionary neural systems; Collective
  intelligence; Computational neuroscience; Cognitive models; Neurodynamics;
  Neuroinformatics; Neuroengineering; Neural hardware; Mathematical
  modeling of neural systems; Hybrid systems; Self-aware systems;
  Agent-based systems; Artificial life; and Neural network applications.

- Evolutionary Computations:
  Metaheuristic optimization algorithms; Evolutionary algorithms; Genetic
  algorithms; Evolutionary programming; Evolution strategy; Particle swarm
  optimization; Ant colony optimization; Artificial immune systems;
  Differential evolution; Learning classifier systems; Learnable evolution
  models; Self-organizing maps and competitive learning; Multi-objective
  evolutionary algorithms; Reinforcement learning; Parallel simulated
  annealing; Cultural algorithms; Intelligent, bio-inspired and autonomic
  computing.

- Artificial Intelligence (AI):
  All aspects of AI as they relate to Computational Intelligence, including:
  Brain models and cognitive science; Natural language processing; Fuzzy
  logic and soft computing; Software tools for AI; Expert systems; Decision
  support systems; Automated problem solving; Knowledge discovery;
  Knowledge-intensive problem solving techniques; Knowledge networks and
  management; Intelligent information systems; Intelligent data mining and
  farming; Intelligent web-based business; Intelligent agents; Intelligent
  user interface; Intelligent tutoring systems; Reasoning strategies;
  Distributed AI algorithms and techniques; Heuristic search methods;
  Languages and programming techniques for AI; Constraint-based reasoning
  and constraint programming; Intelligent information fusion; Search and
  meta-heuristics; Multisensor data fusion using neural and fuzzy techniques;
  Integration of AI with other technologies; Evaluation of AI tools; Social
  intelligence (markets and computational societies); Social impact of AI;
  and Satisfiability methods.

3. APPLICATIONS OF COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE:

- Pattern recognition applications; Machine vision; Brain-machine interface;
  Embodied robotics; Biometrics; Computational biology; Bioinformatics;
  Image and signal processing; Information mining and forecasting; Sensor
  networks; Information processing; Internet and multimedia; DNA computing;
  Machine learning applications; Multi-agent systems applications;
  Telecommunications; Transportation systems; Intrusion detection and fault
  diagnosis; Game technologies; Material sciences; Space, weather, climate
  systems and global changes; Computational ocean and earth sciences;
  Combustion system simulation; Computational chemistry and biochemistry;
  Computational physics; Medical applications; Transportation systems and
  simulations; Structural engineering; Computational electro-magnetic;
  Computer graphics and multimedia; Face recognition; Semiconductor
  technology, and electronic circuits and system design; Dynamic systems;
  Computational finance; Information mining and applications; Astrophysics;
  Biometric modeling; Geology and geophysics; Nuclear physics; Computational
  journalism; Computational sociology; Geographical Information Systems
  (GIS) and remote sensing; Military and defense related applications;
  Ubiquitous computing; and Emerging applications; Advances in computational
  intelligence for time series forecasting and applications; Computational
  science and intelligence for epidemiological modeling.

4. EDUCATION:

- Software engineering; Student recruitment and retention methods; Promoting
  multi-disciplinary initiatives; curriculum; Capstone research projects;
  Preparing graduates for academia and industry; Undergraduate research
  experiences; The balance between course-work and research; Transition to
  graduate studies; Debugging tools and learning; Evaluation methods;
  Advising methods; Learning models and learning from mistakes; Distance
  learning; Active learning tools; Funding opportunities for curriculum
  development and studies; Partnerships with industry and government;
  Collaborative learning; STEM (Science, Technology, Engineering &
  Mathematics) promising initiatives; Student observation and mentoring
  strategies; Team projects and case studies; The role of visualization and
  animation in education; Academic dishonesty in a high-tech environment;
  Innovative uses of technology in the classroom; Computer and web-based
  software for instruction; e-Learning design and methodologies; e-Learning
  portals; Audio and video technologies for e-Learning; Content management
  and development; Policy issues in e-Learning; e-Learning standards;
  Virtual learning environments; Authoring tools; On-demand e-Learning;
  On-line education; e-Universities; and Case studies.


CSCI CONFERENCE OBJECTIVE:
==========================

Computational Science (CS) is the study of addressing problems that are
impossible to solve (or difficult to solve) without computers. CS can be
considered to be the bridge between computer science and other sciences. The
field is interdisciplinary by nature and includes the use of advanced
computing capabilities to understand and solve complex problems. In short,
CS is the science of using computers to do science.
Computational Intelligence (CI) is the study of computational methods in ways
that exhibit intelligence. These methods adapt to changing environments and
changing goals. There is a significant overlap between the fields of CI and
Artificial Intelligence (AI). However, there is also a difference: AI
techniques often involve top-to-bottom methods (i.e., methods to the
solutions are imposed from the top) whereas CI techniques often involve
bottom-up methods (i.e., solutions emerge from unstructured beginnings). An
important part of CI includes a set of Nature-inspired computational approaches
to address complex problems to which traditional methods are infeasible.
CS and CI, both share the same objective: finding solutions to difficult
problems. However, the methods to the solutions are different. The main
objective of the CSCI Conference is to facilitate increased opportunities
for cross-fertilization across CS and CI.


INSTRUCTIONS FOR SUBMITTING PAPERS AND PUBLICATION INFORMATION:
===============================================================

There are three types of submissions:

- Full/Regular Research Papers (maximum of 6 pages):
  Regular Research Papers should provide detail original research
  contributions. They must report new research results that represent
  a contribution to the field; sufficient details and support for
  the results and conclusions should also be provided. The work
  presented in regular papers are expected to be at a stage of
  maturity that with some additional work can be published as journal
  papers.

- Short Papers (maximum of 4 pages):
  Short papers report on ongoing research projects. They should provide
  overall research methodologies with some results. The work presented
  in short papers are expected to be at a stage of maturity that with
  some additional work can be published as regular papers.

- Poster Papers (maximum of 2 pages):
  Poster papers report on ongoing research projects that are still in
  their infancy (i.e., at very early stages). Such papers tend to provide
  research methodologies without yet concrete results.

Authors are invited to submit their papers by uploading them to:
  Submission web site at:  http://american-cse.org/

All submissions must be received by the deadline; submissions must be
in either MS doc or pdf formats (about 6 pages for Regular Research Papers;
about 4 pages for Short Papers; about 2 pages for Poster Papers - the number
of pages include all figures, tables, and references).

Papers should be typeset by using the general typesetting instructions
available at:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
(i.e., use of regular Times New Roman, font size of 10, single line spacing,
2-column format). Authors of accepted papers will later receive a more
specific typesetting instructions.

All submissions MUST be original (papers must not have been previously
published or currently being considered by others for publication).
The first page of the paper should include the followings:

- Title of the paper.
- Name, affiliation, postal address, and email address of each author
  (identify the name of the Contact Author).
- Abstract (about 100 words).
- A maximum of 5 topical keywords that would best represent the work
  described in the paper (see the list of topics).
- Write the type of the submission as:
  "Full/Regular Research Papers", "Short Papers", or "Poster Papers".

The actual paper can start from the first page (space permitting).

Each paper will be peer-reviewed by 2 to 4 peers (except for papers
that are philosophical in nature - such papers would be considered
for panel discussions.) Confidentiality of submitted material will be
maintained. Papers will be evaluated on the basis of originality,
impact, significance, quality of research, quality of writing, and
contribution to conference program and diversity. Papers whose authors
include one or more members of the program committee will be evaluated
using the double-blinded review process.

The CSCI Conference is committed to encouraging diversity and eliminating
discrimination in both its role as a conference and as a provider of
services. CSCI aims to create a culture that respects and values each
others' differences, that promotes dignity, equality and diversity,
and that encourages individuals to develop and maximize their true
potential. We are committed wherever practicable to organizing a
conference that broadly reflects the international community.

The proceedings will be published by Computer Society's CPS
( http://www.computer.org/portal/web/cscps/home ). Authors of accepted
papers must agree with the standard IEEE's statement in reference to
CPS Copyrights (Intellectual Property Rights):

  "The CSCI conference acknowledges that the IEEE shall at all
   times be the sole owner of all rights in and to the work. The IEEE
   shall have the exclusive right (but not the obligation) to obtain
   and renew copyright registration of, or relating to, any and all
   such works in the name of IEEE or in such other name or names as
   IEEE may elect. This agreement constitutes an assignment to IEEE
   of all rights in and to the work the conference agrees to execute
   and deliver to IEEE, promptly upon request, any documents that IEEE
   may reasonably request to attain and protect IEEE's exclusive rights."

After the conference, selected authors will also be given the opportunity
to have the extended versions of their papers considered for publication
by journals and book publishers (Springer, Elsevier, ...) 175233

CONTACT:
========

Questions and inquiries should be sent to:
CSCI 2014 Conference Secretariat: cs at american-cse.org

CONFERENCE WEB SITE: 
====================

http://www.americancse.org/events/csci2014

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