The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2014)

Key Topics

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