ICCS 2012, Omaha, Nebraska

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Workshops in the conference:


Submission and Deadlines:

All papers (both workshop and main track) for ICCS 2012 should be submitted through our submission system.
Please, select the appropriate workshop there.

Unless stated otherwise submission deadlines for workshops are the same as those listed in our important dates. All deadlines after February 15 are synchronised.


  • 1: Simulation of Multiphysics Multiscale Systems, 9th International Workshop
    Contact: V.V. Krzhizhanovskaya
    Simulation of multiphysics and multiscale systems poses a grand challenge to computational science, with vast applications in chemical engineering, plasma physics, material science, biophysics, aerospace and automotive sectors. Most of the real-life systems involve interactions amongst a wide range of physical phenomena. In addition to that, the time and length scales of the individual processes involved often differ by orders of magnitude. Numerical simulation of these multiphysics and multiscale problems requires development of sophisticated models and methods for their integration, as well as efficient numerical algorithms and advanced computational techniques.
    This workshop aims to bring together computational physicists, numerical specialists and computational scientists to push forward this challenging multidisciplinary research field, and to foster cross-fertilization between all fields of applications.
    Specific topics include (but are not limited to):
    -- Modeling of multiphysics and/or multiscale systems. Of particular interest are: Monte Carlo methods, particle-based methods, mesoscopic models such as cellular-automata, lattice gas and lattice-Boltzmann methods, computational fluid dynamics and computational solid mechanics;
    -- Multiphysics and/or multiscale modeling of biological or biomedical systems. This includes computational models of tissue- and organo-genesis, tumor growth, blood vessels formation and interaction with the hosting tissue, biochemical transport and signaling, biomedical simulations for surgical planning, etc.
    -- Novel approaches to combine different models and scales in one problem solution;
    -- Challenging applications in industry and academia, e.g. time-dependent 3D systems, multiphase flows, fluid-structure interaction, chemical engineering, plasma physics, material science, biophysics, automotive industry, etc.;
    -- Advanced numerical methods for solving multiphysics multiscale problems.

  • 2: 7th Workshop on Computational Chemistry and Its Applications (7th CCA)
    Contact: P. Ramasami
    Computational chemistry uses of computers in attempts to solve chemical problems. It uses theoretical methods implemented in software for computations. At the outset of the 21st Century, computational chemistry is leading to a wide range of possibilities usually interdisciplinary due to explosive increase in computer power and software capabilities. Computational chemistry is also integrating the chemistry curriculum.
    The objectives of this workshop are to highlight the latest scientific advances within the broad field of computational chemistry in academia, industry and society.
    This workshop will provide the opportunity for researchers coming from corners of the world to be on a single platform for discussion, exchanging ideas and developing collaborations.
    It will also be a suitable platform for researchers from different fields to meet so that ideas for new interdisciplinary research can emerge.
    This will be the seventh workshop after being successful events in ICCS since 2003.
    This workshop will consider only original work and the submissions will be selected after peer reviewing.
    The accepted full manuscripts will be published in Procedia Computer Science.
    Topics will include aspects of computational chemistry such as (but are not limited to):
    (i) Methods: Force fields, semiempirical, ab initio, density functional theory
    (ii) Applications: Kinetics, reaction mechanisms, catalysis, molecular properties, conformational analysis, thermodynamics, molecular dynamics
    (iii) Research involving computational chemistry
    (iv) Computational chemistry in chemical education
    (v) Interdisciplinary computational research involving chemistry is specially invited

  • 3: The 3rd Workshop on Computational Optimization, Modelling and Simulation (COMS 2012)
    Contact: X.S. Yang, S. Koziel and L. Leifsson
    The 3rd workshop on "Computational Optimization, Modelling and Simulation (COMS 2012)'' will be a part of the International Conference on Computational Science (ICCS 2012). This will be a third event of the COMS workshop series with the first held during ICCS 2010 in Amsterdam and the second held during ICCS2011 in Singapore. COMS 2012 intends to provide a current forum and foster discussion on the cross-disciplinary research and development in computational optimization, computer modeling and simulations.
    COMS2012 will focus on new algorithms and methods, new trends, and latest developments in computational optimization, modelling and simulation as well as applications in science, engineering and industry.
    Topics include (but not limited to):
    · Computational optimization, engineering optimization and design
    · Bio-inspired computing and algorithms
    · Metaheuristics (ant/bee algorithms, cuckoo search, firefly algorithm, genetic algorithms, PSO, SA etc)
    · Simulation-driven design and optimization of computationally expensive objectives
    · Surrogate- and knowledge-based optimization algorithms
    · Scheduling and network optimization
    · Integrated approach to optimization and simulation
    · Multiobjective optimization
    · New optimization algorithms, modelling techniques related to optimization
    · Design of experiments
    · Application case studies in engineering and industry.
    Xin-She Yang (National Physical Laboratory, UK)
    Slawomir Koziel (Reykjavik University, Iceland)
    Leifur Leifsson (Reykjavik University, Iceland)
    Scientific Program Committee:
    · D. Echeverría Ciaurri, IBM Research, USA
    · Z. W. Geem, IGlobal University, USA
    · G.A. Gray, Sandia National Labs, USA
    · O. Kolb, Technical University Darmstadt, Germany
    · R. S. Parpinelli, University of Santa Catarina State, Brazil
    · B. Protas, McMaster University, Canada
    · J. Sklenar, University of Malta, Malta
    · L. Wright, National Physical Laboratory, UK
    · Q. J. Zhang, Carleton University, Canada
    Deadline extended to 31 Jan 2012
    Authors are invited to submit their original, unpublished manuscripts before January 31, 2012, using the online submission system of the ICCS 2012 conference (select "Computational Optimization, Modeling and Simulation (COMS 2012)" in the "Workshop" field). Information about paper format and submission procedure can be found on the conference website.

  • 6: Practical Aspects of High-Level Parallel Programming and Applications (PAPP2012)
    Contact: F. Loulergue
    Computational Science applications are more and more complex to develop and require more and more computing power. Sequential computing cannot go further. Major companies in the computing industry now recognise the urgency of re-orienting an entire industry towards massively parallel computing.
    Parallel and grid computing are solutions to the increasing need for computing power. The trend is towards the increase of cores in processors, the number of processors and the need for scalable computing everywhere. But parallel and distributed programming is still dominated by low-level techniques such as send/receive message passing. Thus high-level approaches should play a key role in the shift to scalable computing in every computer.
    Algorithmic skeletons, parallel extensions of functional languages such as Haskell and ML, parallel logic and constraint programming, parallel execution of declarative programs such as SQL queries, genericity and meta-programming in object-oriented languages, etc. have produced methods and tools that improve the price/performance ratio of parallel software, and broaden the range of target applications. Also, high level languages offer a high degree of abstraction which ease the development of complex systems. Moreover, being based on formal semantics, it is possible to certify the correctness of critical parts of the applications.
    The PAPP workshop focuses on practical aspects of high-level parallel programming: design, implementation and optimisation of high-level programming languages, semantics of parallel languages, formal verification, design or certification of libraries, middle-wares and tools (performance predictors working on high-level parallel/grid source code, visualisations of abstract behaviour, automatic hot-spot detectors, high-level GRID resource managers, compilers, automatic generators, etc.), application of proof assistants to parallel applications, applications in all fields of computational science, benchmarks and experiments. Research on high-level grid programming is particularly relevant as well as domain specific parallel software.
    The aim of all these languages and tools is to improve and ease the development of applications (safety, expressivity, efficiency, etc.). Thus the PAPP workshop focuses on applications.
    The PAPP workshop is aimed both at researchers involved in the development of high level approaches for parallel and grid computing and computational science researchers who are potential users of these languages and tools.

  • 9: Workshop on Emerging Parallel Architectures (WEPA)
    Contact: B. Schmidt
    4th Workshop on using Emerging Parallel Architectures (WEPA).
    The first three editions of WEPA were held at ICCS 2009, 2010, and 2011. All three have proven to be sucssful events.
    The WEPA workshop provides a forum for exploring the capabilities of emerging parallel architectures to accelerate computational science applications. Papers are being sought on a wide variety of topics related to the field of using emerging parallel architectures for computational science including but not limited to:
    - Application studies on emerging architectures such as GPUs, FPGAs and Knights Corner/Ferry
    - Parallel algorithms and methodologies on emerging architectures
    - Languages, models, tools, and compilation techniques for emerging architectures, such as OpenCL, CUDA etc
    - Hybrid computer systems consisting of a combination of GPUs, FPGAs, etc.
    - Use of emerging architectures in clusters, grids and supercomputers

  • 11: Agent-Based Simulations, Adaptive Algorithms and Solvers
    Contact: M. Paszynski
    We invite papers oriented toward simulations, either hard simulations by means of finite element or finite difference methods, or soft simulations by means of evolutionary computations, particle swarm optimization and other.
    The workshop is most interested in simulations performed by using agent-oriented systems or by utilizing adaptive algorithms, but simulations performed by other kind of systems are also welcome.
    Agent-oriented system seems to be the attractive tool useful for numerous domains of applications.
    Adaptive algorithms allow significant decrease of the computational cost by utilizing computational resources on most important aspect of the problem.
    To give - rather flexible - guidance in the subject, the following topics are suggested.
    These of theoretical brand, like:
    a) multi-agent systems in high-performance computing, adaptive algorithms,
    b) adaptive solvers,
    c) agent-oriented approach to adaptive algorithms, mathematical modeling and asymptotic analysis, finite element or finite difference methods, mathematical modeling and asymptotic analysis.
    And those with stress on application sphere:
    d) application of adaptive algorithms in simulation, simulation and multi-agent systems,
    e) application of adaptive algorithms in finite element and finite difference simulations,
    f) application of multi-agent systems in computational modeling,
    g) multi-agent systems in integration of different approaches.

  • 12: Tools for Program Development and Analysis in Computational Science
    Contact: A. Knüpfer
    The use of supercomputing technology, parallel and distributed processing, and sophisticated algorithms is of major importance for computational scientists. Yet, the scientists' goals are to solve their challenging scientific problems, not the software engineering tasks associated with it. For that reason, computational science and engineering must be able to rely on dedicated support from program development and analysis tools.
    The primary intention of this workshop is to bring together developers of tools for scientific computing and their potential users. Paper submissions by both tool developers and users from the scientific and engineering community are encouraged in order to inspire communication between both groups. Tool developers can present to users how their tools support scientists and engineers during program development and analysis. Tool users are invited to report their experiences employing such tools, especially highlighting the benefits and the improvements possible by doing so.
    The following areas and related topics are of interest:
    * Problem solving environments for specific application domains
    * Application building and software construction tools
    * Domain-specific analysis tools
    * Program visualization and visual programming tools
    * On-line monitoring and computational steering tools
    * Requirements for (new) tools emerging from the application domain
    In addition, we encourage software tool developers to describe use cases and practical experiences of software tools for real-world applications in the following areas:
    * Tools for parallel, distributed and network-based computing
    * Testing and debugging tools
    * Performance analysis and tuning tools
    * (Dynamic) Instrumentation and monitoring tools
    * Data (re-)partitioning and load-balancing tools
    * Checkpointing and restart tools
    * Tools for resource management, job queuing and accounting

  • 14: Knowledge representation and applied models and metadata in computational science (KREAM)
    Contact: M.A. Sicilia
    Computational science techniques require in many cases models and representations of knowledge for the complex processes supporting research in the different fields (Greene et al., 2005), and complex models are also required to capture the research context itself (Simmhan et al., 2005). This has resulted in the development of ontologies, metadata schemas and other kinds of models that are shared, reused and enriched for computational science tasks continuously. Relevant examples are scientific ontologies as the Gene Ontology or the Plant Ontology and metadata schemas as the Ecological Metadata Language (EML), but many other models that are less used are regularly used in computational science research. These artifacts call for specific methods, techniques and scientific infrastructure support that deserve separate attention.
    The KREAM workshop aims at gathering high quality research results about the use of knowledge representations, schemas and models in computational science for concrete applications, the design of e-science infrastructure support or papers dealing with the analysis, development or evaluation of the representations themselves.
    - Greene, J. et al. (2005) Complexity in ecology and conservation: mathematical, statistical, and computational challenges. Bioscience 55, 501-510
    - Simmhan, Y. L., Plale, B., and Gannon, D. (2005). A survey of data provenance in e-science. SIGMOD Rec. 34, 3 (Sep. 2005), pp. 31-36

  • 16: International Workshop on Computational Flow and Transport: Modeling, Simulations and Algorithms
    Contact: S. Sun
    Modeling of flow and transport is an essential component of many scientific and engineering applications, with increased interests in recent years. Application areas vary widely, and include groundwater contamination, carbon sequestration, air pollution, petroleum exploration and recovery, weather prediction, drug delivery, material design, chemical separation processes, and many others. However, accurate mathematical and numerical simulation of flow and transport remains a challenging topic from many aspects of physical modeling, numerical analysis and scientific computation. Mathematical models are usually expressed via nonlinear systems of partial differential equations, with possibly rough and discontinuous coefficients, whose solutions are often singular and discontinuous. An important step of a numerical solution procedure is to apply advanced discretization methods (e.g. finite elements, finite volumes, and finite differences) to the governing equations. Local mass conservation and compatibility of numerical schemes are often necessary to obtain physical meaningful solutions. Another important solution step is the design of fast and accurate solvers for the large-scale linear and nonlinear algebraic equation systems that result from discretization. Solution techniques of interest include multiscale algorithms, mesh adaptation, parallel algorithms and implementation, efficient splitting or decomposition schemes, and others.
    The aim of this special issue is to bring together researchers in the aforementioned field to highlight the current developments both in theory and methods, to exchange the latest research ideas, and to promote further collaborations in the community. We invite original research articles as well as review articles describing the recent advances in mathematical modeling, computer simulation, numerical analysis, and other computational aspects of flow and transport phenomena of flow and transport. Potential topics include, but are not limited to:
    (1)advanced numerical methods for the simulation of subsurface and surface flow and transport, and associated aspects such as discretization, gridding, upscaling, multiscale algorithms, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing;
    (2)spatial discretization schemes based on advanced finite element, finite volume, and finite different methods; schemes that preserve local mass conservation (such as mixed finite element methods and discontinuous Galerkin methods) are of particular interest;
    (3)decomposition methods for improved efficiency and accuracy in treating flow and transport problems; decomposition methods for nonlinear differential equations and dynamical systems arising in flow and transport; temporal discretization schemes for flow and transport;
    (4)a-priori and a-posteriori error estimates in discretizations and decompositions; numerical convergence study; adaptive algorithms and implementation;
    (5)modeling and simulation of single-phase and multi-phase flow in porous media or in free space, and its applications to earth sciences and engineering;
    (6)modeling and simulation of subsurface and surface transport and geochemistry, and its application to environmental sciences and engineering;
    (7)computational thermodynamics of fluids, especially hydrocarbon and other oil reservoir fluids, and its interaction with flow and transport;
    (8)computational modeling of flow and transport in other fields, such as geological flow/transport in crust and mantle, material flow in supply chain networks, separation processes in chemical engineering, information flow, biotransport, and intracellular protein trafficking, will also be considered.

  • 17: Dynamic Data Driven Application Systems - DDDAS 2012
    Contact: C.C. Douglas
    This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas. All related areas in Data-Driven Sciences are included in this workshop.

  • 18: Computational Approaches to Social Modeling (ChASM)
    Contact: B. Gonçalves
    Modern life is infused with a myriad of gadgets and new technologies that are quickly becoming online extensions of our offline lives. How we interact with others, where we are and where we go are all facets that are increasingly captured with ever greater detail by our online tools and gadgets.
    The digital traces constantly produced by these tools create hitherto unseen possibilities for the study of human behavior, but also pose their own challenges. The avalanche of data we are witnessing demands new tools and concepts to be analyzed and the new problems that are within our reach demand new algorithms and models to be developed.
    This workshop aims to bring together practitioners of both computer science and social science so that both may better understand the challenges faced by each other and how best they may collaborate to overcome them.

  • 19: Social Computing and Web Service
    Contact: G.M. Huang
    The workshop aims to provide a platform for researchers to share and exchange their original results, new concepts, ideas, principles, and methodologies on social computing. It will bring together researchers in various disciplines to explore the effect of social computing on different scenario and foster communication or collaboration across disciplines to enable interdisciplinary approaches for social computing. For this reason, the workshop is requesting submissions on all topics relevant to social computing, including but not restricted to:
    - Social networks
    - Collective intelligence based on Web technologies
    - Online auction systems
    - Negotiation models
    - Reputation and trust systems for social computing
    - Trust, security and privacy model for social computing
    - Implementation approaches, architectures for social computing
    - Mobile and location aware social computing
    - Cooperation in P2P systems for social computing
    - P2P protocol and infrastructure
    - Architectures and topologies in overlay networks
    - Web service-based P2P computing
    - Testing and runtime analysis based on formal verification technology
    - Verification for real-time, hybrid, or stochastic systems
    - Technologies of the semantic Web for social computing
    - E-commerce and business intelligence based on Web technologies
    - Intelligent techniques application in social computing

    Contact: Y. Shi
    The workshop focus on computational science aspects of asset/derivatives pricing & financial risk management that relate to business intelligence. It will include but not limited to modeling, numeric computation, soft computing, algorithmic and complexity issues in arbitrage, asset pricing, future and option pricing, risk management, credit assessment, interest rate determination, insurance, foreign exchange rate forecasting, online auction, cooperative game theory, general equilibrium, information pricing, network band witch pricing, rational expectation, repeated games, etc.
    Green Futures, Inc., China has sponsored $3,000 to the workshop for “Green Future Award of Computational Finance and Business Intelligence” since ICCS 2008. An international award committee will select the awardees from the accepted and registered papers. Once a paper is selected, the author(s) are required to attend the workshop at Omaha, Nebraska, USA when the awards will be presented.

  • 22: Sixth Workshop on Teaching Computational Science (WTCS 2012)
    Contact: A.B. Shiflet
    The Sixth Workshop on Teaching Computational Science (WTCS 2012) solicits submissions that describe innovations in teaching computational science in its various aspects, e.g. computer science, modeling and simulation, at all levels and in all contexts. Typical topics include, but are not restricted to, innovations in the following areas: course content, curriculum structure, methods of instruction, methods of assessment, tools to aid in teaching or learning, evaluations of alternative approaches, and non-academic training in computational sciences. These innovations may be in the context of formal courses or self-directed learning; they may involve, for example, introductory programming, service courses, specialist undergraduate or postgraduate topics, industry-related short courses. We welcome submissions directed at issues of current and local importance, as well as topics of international interest. Such topics may include transition from school to university, articulation between vocational and university education, quality management in teaching, teaching people from other cultures, attracting and retaining female students, and flexible learning.

  • 23: Workshop on Large Scale Computational Physics (LSCP)
    Contact: E.H.J. de Doncker
    The workshop will focus on the symbolic and numerical methods, algorithms and tools (software and hardware) for developing and running large-scale physics computations. Special interest will go to scalability, parallelism and high numerical precision. System architectures will also be presented as long as they are actually
    supporting physics calculations, including: massively parallel systems, GPU, many-cores, grid/cloud computing. Topics will be chosen from areas including high energy physics, nuclear physics, astrophysics, cosmology, quantum physics, condensed matter and material science, plasma physics, laser physics, complex and turbulent systems and so on.

  • 25: Computational Modeling for Zoonotic Epidemics
    Contact: C. Scoglio
    The aim of the Workshop is to bring together experts in the field of zoonotic disease modeling to compare, evaluate and assess the state of the art on the use of computational power, innovative Information and Communication Technologies (ICT), and sophisticated modeling approaches at different scales to evaluate treatment and control strategies for zoonotic disease in real time.
    Authors are invited to submit manuscripts reporting original, unpublished research and recent developments/theoretical considerations in Computational Sciences by January 31, 2012.
    All accepted papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series.
    All papers (both workshop and main track) for ICCS 2012 should be submitted through our submission system.

  • 26: Educational Approaches for Integrating Bioinformatics into Computer and Life Science
    Contact: M. Pauley
    Bioinformatics is a rapidly emerging discipline in which computational techniques are applied to genetic information in order to produce biological knowledge. The essential nature of bioinformatics is well-recognized in graduate programs, research consortia and biotechnology industries. The intent of this workshop is to bring together educators and researchers from the life and computer sciences to discuss strategies of integrating bioinformatics into the life sciences as well as presenting bioinformatics as an interesting problem domain for computer scientists. Specific topics include, but are not restricted to:
    - Course development
    - Content modules
    - Curricular goals and objectives
    - Pedagogical approaches
    - Integration of Undergraduate Research
    - Development/experience with majors/concentrations
    - Use of technology as a way to enhance teaching and learning
    - Ways of introducing bioinformatics to pre-college students and teachers
    - Industrial partnerships
    - Articulation agreements
    - Non-academic training
    - Attracting under-represented groups
    We welcome submissions directed at issues at all levels of interest: local, national and international.

  • 27: Advances in Kepler Scientific Workflow System and Its Applications
    Contact: I.A. Altintas
    Kepler (kepler-project.org) is an open-source, cross-project collaboration to develop a scientific workflow system for multiple disciplines, providing a workflow environment for scientists, in which they can design and execute workflows. Kepler Scientific Workflow System supports the design, execution, and management of scientific and engineering workflows through dedicated capabilities including provenance management, run management and reporting tools, integration of distributed computation and data management technologies, ability to ingest local and remote scripts, and sensor management and data streaming interfaces.
    The Kepler software is developed and maintained by the cross-project Kepler collaboration, which is led by a team consisting of several of the key institutions that originated the project. This workshop aims to bring researchers and developers contributing to Kepler together with informaticians and computational scientists using Kepler in order to communicate newest advances in Kepler and facilitate new development and collaborations.
    The topics of interest for submission include, but not limited to:
    * State-of-the-Art Kepler Application Examples and Success Stories
    * Requirements from Existing and Potential Kepler Communities
    * Server-side Usage of Kepler in Virtual Laboratories and Other Cyberinfrastructure Environments including Portals
    * Best Practices for Using Kepler
    * Kepler in Educational Environments
    * New Developments and Modules in Kepler

  • 28: Third Workshop on Data Mining in Earth System Science (DMESS 2012)
    Contact: F.M. Hoffman
    Spanning many orders of magnitude in time and space scales, Earth science data are increasingly large and complex, and often represent very long time series, making such data difficult to analyze, visualize, interpret, and understand. Moreover, advanced electronic data storage technologies have enabled the creation of large repositories of observational data, while modern high performance computing capacity has enabled the creation of detailed empirical and process-based models that produce copious output across all these time and space scales. The resulting “explosion” of heterogeneous, multi-disciplinary Earth science data has rendered traditional means of integration and analysis ineffective, necessitating the application of new analysis methods and the development of highly scalable software tools for synthesis, comparison, and visualization. This workshop explores various data mining approaches to understand Earth science data, emphasizing the technological challenges associated with utilizing very large and long time series geospatial data sets. Especially encouraged are original research papers describing applications of data mining methods—including cluster analysis, empirical orthogonal functions (EOFs), genetic algorithms, neural networks, and other machine-learning techniques—that support analysis and discovery in climate, water resources, geology, ecology, and environmental sciences research.

  • 29: The 5th Workshop on Biomedical and Bioinformatics Challenges to Computer Science
    Contact: M. Cannataro
    Bioinformatics is providing the foundation for fast and reliable data analysis. Genomics, interactomics, proteomics, epidemiological, clinical and text mining applications have made essential progress through using bioinformatics tools. Standard tools are usually offered through the Web. This is no longer sufficient with more complex analysis and simulation tasks from emerging research fields like systems biology, image analysis, biomedical applications or data management. In recent years Grid and Web services based approaches have been developed to face the new challenges.
    Moreover, emerging life sciences applications need to use in a coordinated way both bioinformatics tools, biological data banks, and patient's clinical data, that requires seamless integration, privacy preservation and controlled sharing.
    Previous workshops were held in Kraków, Baton Rouge, Amsterdam and Singapore.
    This is the 5th edition of the workshop that was previously held, respectively, in Kraków (2008), Baton Rouge (2009), Amsterdam (2010) and Singapore (2011). The Workshop on Biomedical and Bioinformatics Challenges to Computer Science will bring together scientists from computer and life sciences to discuss future directions of bioinformatics algorithms, applications, and data management. Questions to be looked at are whether wrapping existing algorithms, as Grid or Web service will be sufficient to cope with the more complex applications and the increasing volume of data to be processed or which applications would profit from being redeveloped as native parallel or distributed application. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
    The workshop is seeking original research papers presenting innovative solutions from parallel, distributed and Grid computing applied to bioinformatics algorithms, medical informatics and life sciences applications. Specifically we are interested in the following topics applied to bioinformatics, medicine, biology and life sciences:
    - sequence and structure bioinformatics
    - genomics, proteomics, interactomics
    - systems biology
    - biomedical image analysis
    - neuroimaging
    - biomedical simulation
    - data management
    - data integration
    - data visualization
    - workflow modelling
    - distributed biomedical applications
    - high performance computing
    - dedicated hardware and architectures
    - parallelisation techniques
    - service orientation
    - volunteer computing
    - peer-to-peer computing
    - Grid and Cloud Computing

  • 30: Second International Workshop on Advances in High-Performance Computational Earth Sciences: Applications and Frameworks (IHPCES)
    Contact: H.M. Tufo
    The IHPCES workshop will provide a forum for presentation and discussion of state-of-the-art research in high-performance computational earth sciences. Emphasis will be on novel advanced high-performance computational algorithms, formulations and simulations, as well as the related issues for computational environments and infrastructure for development of high-performance computational earth sciences. The workshop facilitates communication between earth scientists, applied mathematicians, computational and computer scientists and presents a unique opportunity for them to exchange advanced knowledge, insights and science discoveries. With the imminent arrival of the exascale era, strong multidisciplinary collaborations between these diverse scientific groups are critical for the successful development of high-performance computational earth sciences applications. Presentations and audience representation from the broad earth sciences community is strongly encouraged. Contributions are solicited in (but not restricted to) the following areas:
    Large-scale simulations using modern high-end supercomputers in earth sciences, such as atmospheric science, ocean science, solid earth science, and space & planetary science, as well as multi-physics simulations.
    Advanced numerical methods for computational earth sciences, such as FEM, FDM, FVM, BEM/BIEM, Mesh-Free method, Particle method, and etc.
    Numerical algorithms and parallel programming models for computational earth sciences.
    Optimization and reengineering of applications for multi/many-core processors and accelerators.
    Strategy, implementation and applications of pre/post processing and handling of large-scale data sets for computational earth sciences, such as parallel visualization, parallel mesh generation, I/O, data mining and etc.
    Frameworks and tools for development of codes for computational earth sciences on peta/exascale systems.

  • 32: Workshop on Urgent Computing
    Contact: M. Bubak
    Complex, large-scale, collaborative simulations are becoming more and more crucial for decision making in critical situations like floods, earthquakes, wildfires, terrorists attacks, epidemics, pandemics, instabilities in financial markets and similar.
    Urgent computing is a new area of computer science addressing algorithms, methods and tools enabling prioritized and immediate access to large compute and storage systems (computers, grids, clouds) for such emergency computations required for clever decision making.
    Urgent computing is still in development and the main aim of this workshop is to assess its current status and identify the most important challenges. We invite users and developers of such applications, scientists working on methods and tools for urgent computing, resources providers, and decision makers to submit papers addressing topics related to urgent computing.
    -Applications requiring emergency computations, including (but not limited to): urgent computing in the medical environment, disaster prediction and preventing using urgent computing, urgent computing applications in science and engineering
    -algorithms and methods of providing immediate access to large scale compute and storage facilities
    -tools, environment and middle-ware for urgent computing
    -data placement, resource management and optimization for urgent computing
    -solutions enabling collaboration in urgent computing
    -SLA and policies in urgent situations
    -methods implementing urgent computing on a voluntary user-by-user basis

  • 35: Atmospheric and Oceanic Computational Science
    Contact: A. Sandu
    The workshop will bring together computational and domain scientists
    who develop computational tools for the study of the atmosphere and
    oceans. These tools are essential for understanding and predicting
    weather, air and water pollution, and the evolution of the planet's
    climate. The dynamics of the atmosphere and of the oceans is driven by
    a multitude of physical processes and is characterized by a multiple
    spatial and temporal scales. Moreover, the computations are very large
    scale: present day models track the time evolution of tens of millions
    to tens of billions variables. These factors make atmospheric and
    oceanic simulations a challenging, vibrant research field with a
    tremendous impact on society at large.
    Topics include, but are not limited to:
    - new methods for spatial and temporal discretization
    - methods for quantifying and reducing uncertainty
    - reduced order modeling
    - parallel and high performance computing
    - advances with existing models
    - data assimilation algorithms, variational methods, nonlinear ensemble methods
    - data analysis and information retrieval.
    Workshop organizer:
    Adrian Sandu, Professor Phone: (540) 231-2193
    Department of Computer Science Fax: (540) 231-6075
    Virginia Tech Email: sandu@cs.vt.edu
    Blacksburg, VA 24061-0106 URL: http://www.cs.vt.edu/~asandu

  • 36: 1st International Workshop on Advances in Computational Social Science
    Contact: S.A. Cheong
    In this workshop, we hope to bring together social scientists keen to employ sophisticated computational models and methods in their research, and computer/information scientists/engineers interested in understanding social problems to share recent advances to data-driven and computation-intensive approaches in the social sciences.

  • 42: Tutorials
    Contact: Y. Shi
    This year we are excited to announce separate pre-conference sessions for tutorials at ICCS. Tutorials will be held a day prior to the main conference on Sunday, June 3rd, 2012. Tutorials are invited on cutting edge topics that will expose interested conference delegates and local practitioners to hands-on activities relating to new areas of computing including but not limited to technologies, methods, tools, techniques, and/or research approaches.
    All submissions should be 5 pages or less (double-spaced) and in MSWord or PDF format and cover timely topics of interest to the ICCS community.
    Format for a tutorial proposal (1.5 hours long):
    -Tutorial title, a 200-word abstract, and a brief outline
    -Information on the speaker should include the name, affiliation address (postal address, telephone, fax and e-mail), and qualifications for giving the proposed tutorial
    -Special requirements such as Internet access and access to computers or software, etc.
    -Description of likely participants and an estimate of the number of participants necessary to make the tutorial viable.
    If you have questions regarding this call for proposals, please do not hesitate to contact: Yong Shi (yshi@unomaha.edu)

  • 43: Poster Session
    Contact: M.H. Lees