CSCI 2014 : International Conference on Computational Science and Computational Intelligence
Call For Papers
The CSCI'14 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 Conference Publishing Services (CPS - http://www.computer.org/portal/web/cscps/home ).
Papers are sought that address solutions to problems in all areas of computational science
and computational intelligence.
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.
The proceedings will be published by Conference Publishing Services
(CPS - http://www.computer.org/portal/web/cscps/home ).
Authors of accepted papers must agree with the standard CPS's statement in reference to
Copyrights (Intellectual Property Rights):
"The CSCI conference acknowledges that Conference Publishing Services (CPS - http://www.computer.org/portal/web/cscps/home )
shall at all times be the sole owner of all rights in and to the work. The CPS 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 CPS or in such other name or names as CPS may elect. This agreement constitutes an assignment
to CPS of all rights in and to the work the conference agrees to execute and deliver to CPS,
promptly upon request, any documents that CPS may reasonably request to attain and protect CPS'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, ...)
Topics of interest include, but are not limited to the following:
Computational Science (CS)
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.
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 nterconnection 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.
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.
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.
Computational Intelligence (CI)
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 architect2ures 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 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.
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.
Applications of CE & CI
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.