Advanced Engineering Computing and Applications in Sciences

Rome, Italy, 24/08/2014 – 28/08/2014
hosted by AAMAS 2014

With the advent of high performance computing environments, virtualization, distributed and parallel computing, as well as the increasing memory, storage and computational power, processing particularly complex scientific applications and voluminous data is more affordable. With the current computing software, hardware and distributed platforms effective use of advanced computing techniques is more achievable.

The goal of the International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2014 is to bring together researchers from the academia and practitioners from the industry in order to address fundamentals of advanced scientific computing and specific mechanisms and algorithms for particular sciences. The conference will provide a forum where researchers shall be able to present recent research results and new research problems and directions related to them. The conference seeks contributions presenting novel research in all aspects of new scientific methods for computing and hybrid methods for computing optimization, as well as advanced algorithms and computational procedures, software and hardware solutions dealing with specific domains of science.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

Topics of Interest
  • Advances on computing theories
    • Finite-state machines
    • Petri nets /stochastic/colored/probabilistic/etc
    • Genetic algorithms
    • Machine learning theory
    • Prediction theory
    • Bayesian theory /statistics/filtering/estimation/reasoning/rating/etc
    • Markov chains/process/model/etc
    • Graphs theories
  • Advances in computation methods
    • Hybrid computational methods
    • Advanced numerical algorithms
    • Differential calculus
    • Matrix perturbation theory
    • Rare matrices
    • Fractals & super-fractal algorithms
    • Random graph dynamics
    • Multi-dimensional harmonic estimation
  • Computational logics
    • Knowledge-based systems and automated reasoning
    • Logical issues in knowledge representation /non-monotonic reasoning/belief
    • Specification and verification of programs and systems
    • Applications of logic in hardware and VLSI,
    • Natural language, concurrent computation, planning
    • Deduction and reasoning
    • Logic of computation
    • Dempster-Shafer theory
    • Fuzzy theory/computation/logic/etc
  • Advances on computing mechanisms
    • Clustering large and high dimensional data
    • Data fusion and aggregation
    • Biological sequence analysis
    • Biomecatronics mechanisms
    • Biologically inspired mechanisms
    • System theory and control mechanisms
    • Multi-objective evolutionary algorithms
    • Constraint-based algorithms
    • Ontology-based reasoning
    • Topology and structure patterns
    • Geometrical pattern similarity
    • Strong and weak symmetry
    • Distortion in coordination mechanisms
  • Computing techniques
    • Distributed computing
    • Parallel computing
    • Grid computing
    • Autonomic computing
    • Cloud computing
    • Development of numerical and scientific software-based systems
    • Pattern-based computing
    • Finite-element method computation
    • Elastic models
    • Optimization techniques
    • Simulation techniques
    • Stream-based computing
  • Resource intensive applications and services (RIAS)
    • Fundamentals on RIAS; Basic algorithms for RIAS
    • Communications intensive
    • Process intensive
    • Data-intensive computing
    • Operational intensive
    • Cloud-computing intensiveness
    • User intensive
    • Technology intensive
    • Control intensive
    • Complex RIAS
    • Bioinformatics computation
    • Large scale ehealth systems
    • Pharmaceutical/drug computation
    • Weather forecast computation
    • Earthquake simulations
    • Geo-spatial simulations
    • Spatial programs
    • Real-time manufacturing systems
    • Transportation systems
    • Avionic systems
    • Economic/financial systems
    • Electric-power systems
  • Computational geometry
    • Theoretical computational geometry
    • Applied computational geometry
    • Design and analysis of geometric algorithms
    • Design and analysis of geometric algorithms and data structures
    • Discrete and combinatorial geometry and topology
    • Data structures (Voronoi Diagrams, Delaunay triangulations, etc.)
    • Experimental evaluation of geometric algorithms and heuristics
    • Numerical performance of geometric algorithms
    • Geometric computations in parallel and distributed environments
    • Geometric data structures for mesh generation
    • Geometric methods in computer graphics
    • Solid modeling
    • Space Partitioning
    • Special applications (animation of geometric algorithms, manufacturing, computer graphics and image processing, computer-aided geometry design, solid geometry)
  • Interdisciplinary computing
    • Computational /physics, chemistry, biology/ algorithms
    • Graph-based modeling and algorithms
    • Computational methods for /crystal, protein/ structure prediction
    • Computation for multi-material structure
    • Modeling and simulation of large deformations and strong shock waves
    • Computation in solid mechanics
    • Remote geo-sensing; Interdisciplinary computing in music and arts
  • Cloud computing
    • Hardware-as-a-service
    • Software-as-a-service [SaaS applicaitions]
    • Platform-as-service
    • On-demand computing models
    • Cloud Computing programming and application development
    • Scalability, discovery of services and data in Cloud computing infrastructures
    • Privacy, security, ownership and reliability issues
    • Performance and QoS
    • Dynamic resource provisioning
    • Power-efficiency and Cloud computing
    • Load balancing
    • Application streaming
    • Cloud SLAs, business models and pricing policies
    • Custom platforms
    • Large-scale compute infrastructures
    • Managing applications in the clouds
    • Data centers
    • Process in the clouds
    • Content and service distribution in Cloud computing infrastructures
    • Multiple applications can run on one computer (virtualization a la VMWare)
    • Grid computing (multiple computers can be used to run one application)
    • Cloud-computing vendor governance and regulatory compliance
  • Grid Networks, Services and Applications
    • GRID theory, frameworks, methodologies, architecture, ontology
    • GRID infrastructure and technologies
    • GRID middleware
    • GRID protocols and networking
    • GRID computing, utility computing, autonomic computing, metacomputing
    • Programmable GRID
    • Data GRID
    • Context ontology and management in GRIDs
    • Distributed decisions in GRID networks
    • GRID services and applications
    • Virtualization, modeling, and metadata in GRID
    • Resource management, scheduling, and scalability in GRID
    • GRID monitoring, control, and management
    • Traffic and load balancing in GRID
    • User profiles and priorities in GRID
    • Performance and security in GRID systems
    • Fault tolerance, resilience, survivability, robustness in GRID
    • QoS/SLA in GRID networks
    • GRID fora, standards, development, evolution
    • GRID case studies, validation testbeds, prototypes, and lessons learned
  • Computing in Virtualization-based environments
    • Principles of virtualization
    • Virtualization platforms
    • Thick and thin clients
    • Data centers and nano-centers
    • Open virtualization format
    • Orchestration of virtualization across data centers
    • Dynamic federation of compute capacity
    • Dynamic geo-balancing
    • Instant workload migration
    • Virtualization-aware storage
    • Virtualization-aware networking
    • Virtualization embedded-software-based smart  mobile phones
    • Trusted platforms and embedded supervisors for security
    • Virtualization management operations /discovery, configuration, provisioning, performance, etc.
    • Energy optimization and saving for green data centers
    • Virtualization supporting cloud computing
    • Applications as pre-packaged virtual machines
    • Licencing and support policies
  • Development of computing support
    • Computing platforms
    • Advanced scientific computing
    • Support for scientific problem-solving
    • Support for distributed decisions
    • Agent-assisted workflow support
    • Middleware computation support
    • High performance computing
    • Problem solving environments
    • Computational science and education
    • Neuronal networks
  • Computing applications in science
    • Advanced computing in civil engineering
    • Advanced computing in physics science
    • Advanced computing in chemistry science
    • Advanced computing in mathematics
    • Advanced computing in operation research
    • Advanced computing in economics
    • Advanced computing in electronics and electrical science
    • Advanced computing on Earth science, geosciences and meteorology
  • Complex computing in application domains
    • Computation genomic
    • Management of scientific data and knowledge
    • Advanced computing in bioinformatics and biophysics
    • Advanced computing in molecular systems and biological systems
    • Application of engineering methods to genetics
    • Medical computation and graphics
    • Advanced computing in simulation systems
    • Advanced computing for statistics and optimization
    • Advanced computing in mechanics and quantum mechanics
    • Advanced computing for geosciences and meteorology
    • Maps and geo-images building
    • Curve and surface reconstruction
    • Financial computing and forecasting
    • Advanced computing in robotics and manufacturing
    • Advanced computing in power systems
    • Environmental advanced computing



Advanced Engineering Computing and Applications in Sciences

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The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences (8th, 2014)

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Rome, Italy

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