Symposium on Computational Science (CSCI-ISCS)

by admin last modified Oct 21, 2018 10:55 AM
All accepted papers of this symposium will be published by Conference Publishing Services, CPS:

https://www.computer.org/web/cs-cps/ as part of the proceedings of The 2018 International Conference on Computational Science and Computational Intelligence (CSCI'18).

 Past conference proceedings can be accessed via IEEE Xplore Digital Library at:

   Volume (2017):    IEEE Xplore indexation/inclusion is APPROVED by IEEE Quality Assurance on October 17, 2018 (IEEE Record #: 43386); CSCI 2017 proceedings will appear in Xplore within days.

 

You are invited to Submit a Paper for Consideration. Submissions are to be uploaded to the Evaluation Web site portal at: https://american-cse.org/

Scope & Topics

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 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:

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 chemistry; Computational fluid dynamics; Computational physics; Computational mechanics; Inversion problems; Cellular automata; Ordinary and partial differential equations; Stochastic differential equations; Integral equations; Finite element methods; Dynamical systems; Non-symmetric solvers; Engineering applications.

High Performance Computing and Communication Systems: Cluster computing; Supercomputing; Cloud computing; Mobile computing; Grid computing; Parallel/distributed architectures and algorithms; Networks and interconnection networks; Reliability and fault-tolerance; Real-time and embedded systems; Software tools and environments for Scientific Computing; Distributed systems; FPGA, multicore, GPU, SOC and applications; High-performance mobile computation and communication; Emerging technologies.

Modeling, Simulation and Visualization Methods: Computational modeling and simulation in science and engineering; Simulation languages and tools; Information and scientific visualization; Modeling methodologies; Visual interactive simulation and modeling; Visualization tools and systems for simulation and modeling; CAD/CAE/CAM; Agent based simulation; Analytical and stochastic modeling techniques and applications; Simulation of complex systems; Simulation of intelligent systems; Biomedical visualization and applications; Discrete and numeric simulation; and Modeling and simulation frameworks.

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; Big Data and decision sciences and analytics; Scientific Crowd-sourcing; 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; Image feature extraction; Enhancement techniques; Novel noise reduction algorithms; Mathematical morphology; 3D imaging; Watermarking methods and protection; Wavelet methods; Image restoration; Video analysis; Object recognition; and Case studies and applications.

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; Non-symmetric solvers; Engineering problems and emerging applications.

Applications of Computational Science:

Pattern recognition applications; Brain-machine interface; 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; Computational chemistry and biochemistry; Computational physics; Transportation systems and simulations; Computer graphics and multimedia; Computational finance; Information mining and applications; Astrophysics; 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.

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