Workshops in the conference:
Submission and Deadlines:
All papers (both workshop and main track) for ICCS 2010 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, 7th 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: Fourth Workshop on Teaching Computational Science (WTCS 2010)
Contact: A.B. Shiflet
The Fourth Workshop on Teaching Computational Science (WTCS 2010) 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.
Angela Shiflet, Wofford College, USA
Alfredo Tirado-Ramos, Emory University, USA
- 3: Third Workshop on Biomedical and Bioinformatics Challenges to Computer Science
Contact: M. Cannataro
Bioinformatics provides the foundation for fast and reliable data analysis. Genomics, transcriptomics, 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.
The workshop 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.
TOPICS OF INTEREST
The workshop is seeking original research papers presenting innovative solutions from parallel, distributed and Grid computing applied to bioinformatics algorithms and life sciences applications:
- sequence and structure bioinformatics
- computational proteomics
- systems biology
- biomedical image analysis
- biomedical simulation
- data management
- data integration
- workflow modelling
- service orientation
- volunteer computing
- peer-to-peer computing
Mario Cannataro, University Magna Græcia of Catanzaro, Italy
Joakim Sundnes, Simula Research Laboratory, Norway
Rodrigo Weber dos Santos, Federal University of Juiz de Fora, Brazil
- 4: Second Workshop on Emerging Parallel Architectures
Contact: B. Schmidt
WEPA 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 Cell B.E.
• Parallel algorithms and methodologies on emerging architectures
• Languages, models, tools, and compilation techniques for emerging architectures
• Hybrid computer systems consisting of a combination of GPUs, FPGAs, etc.
• Use of emerging architectures in clusters, grids and supercomputers
* Submission Guidelines:
Authors are invited to submit manuscripts reporting original, unpublished research and recent developments. All accepted oral papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line and CD). The submitted paper must be camera-ready and formatted according to the rules of Procedia Computer Science (for formatting information see for Latex and for MSword). Submission implies the willingness of at least one of the authors to register and present the paper. PostScript and source versions of your paper must be submitted electronically through the ICCS 2010 paper submission system: http://www.iccs-meeting.org/iccs2010/papers/upload.php.
Please, note that papers must not exceed ten pages in length, when typeset using the Procedia format.
* Important Dates:
Full paper submission: January 08, 2010 (Extended!)
Acceptance notification: February 15, 2010
Camera ready papers: March 1, 2010
Early registration opens: February 15, 2010
Early registration ends: March 31, 2010
* Workshop Co-Chairs:
Bertil Schmidt, Nanyang Technological University, Singapore, email@example.com , http://www3.ntu.edu.sg/home/asbschmidt
Douglas Maskell, Nanyang Technological University, Singapore, firstname.lastname@example.org, http://www3.ntu.edu.sg/home/asdouglas/
* Program Committee:
Vipin Chaudhary (Uni Buffalo, USA)
John Paul Walters (USC, USA)
Scott Emrich (Uni Notre Dame, USA)
Witold Rudnicki (Uni Warsaw, Poland)
Arpith Jacob (Washington Uni in St Louis, USA)
Mathieu Giraud (INRIA, France)
Rob Farber (PNNL, USA)
Stan Scott (Queens Uni Belfast, UK)
Chris Clarke (Uni Bath, UK)
Manfred Schimmler (University of Kiel, Germany)
Simon See (SUN Microsystems)
Neil Bergmann (University of Queensland, Australia)
Heiko Schroder (RMIT, Australia)
Alexandros Stamatakis (TU Munich, Germany)
Dominique Lavenier (IRISA, France)
Jaroslaw Zola (Iowa State Uni, USA)
Ananth Kalyanaraman (Washington State Uni, USA)
Shi Haixiang (NTU, Singapore)
Gerrit Voss (Fraunhofer Institute, Germany and NTU, Singapore)
Weiguo Liu (NTU, Singapore)
Malcolm Low (NTU, Singapore)
- 5: Workshop on Computational Chemistry and Its Applications (5th CCA)
Contact: P. Ramasami
Computational chemistry makes 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 finding its way in 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 is the fifth 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: Semiempirical, force fields, ab initio, density functional
(ii) Applications: Kinetics, reaction mechanisms, catalysis, molecular properties, conformational analysis, thermodynamics
(iii) Research involving computational chemistry
(iv) Computational chemistry in chemistry education
(v) Interdisciplinary computational research involving chemistry is specially invited
- 6: Dynamic Data Driven Application Systems - DDDAS 2010
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.
January 3, 2010: Register paper lead author and approximate title
January 25, 2010: Upload paper to the web site
- 9: Computational Optimization, Modelling and Simulation (COMS 2010)
Contact: X.S. Yang
The workshop "Computational Optimization, Modelling and Simulation (COMS 2010)" intends to provide a forum and foster discussion on the cross-disciplinary research and development in computational optimization, computer modeling and simulations. It will focus on new optimizaation algorithms, new trend, and latest development in numerical techniques as well as application studies of optimization in science, engineering and industry.
Topics include (but not limited to):
* Computational optimization;
* Engineering optimization and design;
* Optimization of expensive objective functions;
* Surrogate- and knowledge-based optimization algorithms;
* Integrated approach to optimization and simulation;
* Multiobjective optimization;
* New optimization algorithms;
* New modelling techniques related to optimization;
* Application case studies and others.
Organizers: X. S. Yang (National Physical Lab, UK), and S. Koziel (Engineering Optimization & Modeling Center, Reykjavik University, Iceland)
Scientific Program Committee:
D. Echeverría, Stanford University, USA
Z. W. Geem, IGlobal University, USA
L. Leifsson, Reykjavik University, Iceland
R. S. Parpinelli, University of Santa Catarina State, Brazil
B. Protas, McMaster University, Canada
J. Sklenar, University of Malta, Malta
Q. J. Zhang, Carleton University, Canada
All papers will be peer-reviewed. Accepted papers will be included in the ICCS proceedings published by Elsevier in the open-access Procedia Computer Science series. In addition, extended versions of the selected papers will be considered for a post-conference special issue of Int. J. Mathematical Modelling and Numerical Optimization (IJMMNO).
- 11: 3rd International Workshop on Software Engineering for Computational Science and Engineering
Contact: J.C. Carver
This workshop is concerned with the development of Computational Science & Engineering (CSE) software. Specifically:
• Scientific software applications, where the focus is on directly solving scientific problems. These applications include, but are not limited to, large parallel models/simulations of the physical world (high performance computing systems).
• Applications that support scientific endeavors. Such applications include, but are not limited to, systems for managing and/or manipulating large amounts of data.
Despite its importance, CS&E has historically attracted little attention from the software engineering (SE) community. Indeed, the development of CSE software differs significantly from the development of business information systems, from which many of the SE best practices, tools and techniques have been drawn. Therefore, in order to identify and develop appropriate methods, tools and techniques for CSE software, members of the SE community must interact with members of the CSE community.
There is an increasing amount of attention being given to this effort. Recent endeavors to bring the SE and CS&E communities together include two special issues of IEEE Software (July/August 2008 and January/February 2009), a special issue of Computing in Science and Engineering (November 2009). In addition, an International Conference on Software Engineering (ICSE) workshop series. SE-CSE 2008 (http://www.cs.ua.edu/~SECSE08) and SE-CSE 2009 (http://www.cs.ua.edu/~SECSE09), brought together computational scientists, software engineering researchers and software developers to explore issues such as:
• Those characteristics of CSE which distinguish it from general business software development;
• The different contexts in which CSE developments take place;
• The quality goals of CSE;
• How the perceived chasm between the CSE and software engineering communities might be bridged.
The SE-CSE 2010 workshop will build on the results of the SE-2008 and SE-2009 workshops.
- 12: International Workshop on Computational Stochastics
Contact: W. Sandmann
Stochastic models and methods are widely used in a broad range of scientific domains including mathematics and computer science, engineering, economics, natural and life sciences, where the complexity of many relevant problems often renders purely analytical treatment impossible and calls for efficient computational solution approaches.
Such approaches are usually spread over conferences focused on the application domain rather than the stochastic nature of models or solution approaches. But similar challenges occur in different fields such that their computational solution is often more important than the underlying real world system. However, too many researchers hardly mutually notice each others' progress though actually working on the same topic. It is highly desirable to bring them together under the common umbrella of computational stochastics in order to present recent results, exchange knowledge, discuss open problems and new directions.
This workshop is intended to provide a joint interdisciplinary forum for researchers applying probability and statistics in different scientific domains. The goal is to establish a meeting where stochastic models and methods are the common objective and the focus is on computational or algorithmic approaches.
The workshop solicits papers on all branches of computational stochastics such as numerics of stochastic processes, statistical computation, Monte Carlo methods, stochastic simulation, and stochastic optimization. Contributions are welcome from all areas where computational stochastic methods are developed or applied, e.g., networking and internet applications, telecommunications, operations research, finance, insurance risk, bioinformatics, chemical biophysics, cell biology, and systems biology, amongst many others. Specific topics of interest include but are not limited to
* Numerical Solution of Markov Chains, SDEs and SPDEs
* Stochastic Simulation of Complex Systems, Networks and Processes
* Stochastic Optimization, Approximation, Search and Learning
* Stochastic Time Series Analysis, Forecasting and Control
* Stochastic Sensitivity Analysis, Perturbation Analysis
* Statistical Inference, Bayesian Statistics, Variational Bayes
* Markov Chain Monte Carlo, Perfect Simulation, Exact Sampling
* Adaptive and Sequential Monte Carlo, Particle Filtering
- 13: DYNANETS: Workshop on Dynamic Networks and Network Dynamics
Contact: G. Kampis
Over the last 15 years the analysis of networks (also termed 'network science') has established itself as a promising new field to deal with large, inherently complex systems composed of many interconnected components, offering insights to problems from such diverse domains as sociology, economics, physics, computer science, ecology, virology and so on.
Recently, a radical new development is observable in network studies: the shift of focus from static networks to dynamic processes expressed as networks. Most of the classical work in network analysis has been devoted to static networks. However, real-life networks are essentially dynamic, and there is an increasing interest in their inherent features: in how time-dependent equivalents of classic network measures can be defined for descriptive analysis, or how dynamics relates to time constrained samples in a cumulative network.
Also, in real networks the changes often occur for endogenous, network-internal reasons that are more complicated than can be grasped by a simple growth rule: for instance, the change of a node’s internal attributes can imply changes in its connectivity, and so on. (In an epidemic network, the recovered patient does not infect any more, and no more infection links are formed from this node.) Interests of this kind put questions of the interrelated dynamics of and on networks into a new focus of investigation. Several important problems ranging from virology , to contact networks and ecological theory similarly invite a treatment of dynamic networks on their own.
The workshop aims at providing a first comprehensive assessment of these novel developments, inviting contributions from theoreticians and practitioners of network science alike.
- 14: Visualization in Computational Science
Contact: R.G. Belleman
Researchers in computational science generate data faster than we can make sense of that data. In computer simulations and lab experiments, data sets are generated that not only increase in size but also in complexity while the techniques to analyze them are either non-existent or ill-posed. In these cases visualization is an indispensable method to detect structure and patterns in these data sets. This includes the development of increasingly advanced visualization algorithms that map data features to visual constructs, user-friendly human-computer interaction that encourages interactive visual exploration, and computing architectures that improve the use and responsiveness of interactive graphics displays. Significant progress has been made over the last decades but many challenges still remain. The goal of this workshop is to bring together visualization researchers and end-users to illustrate the state of the art and advance potential areas of common interest.
- 15: Automated Program Generation for Computational Science
Contact: C. Bischof
The development of correct and efficient software is one of the main bottlenecks in turning new concepts for modeling and numerics into reality. While the power of computers has exploded over the last decades, programming productivity in computational science has grown only slowly. Automated software generation, while not a general solution, is a promising approach in certain application areas such as automatic differentiation, automatic parallel software generation for computational kernels, and higher-level programming abstractions for domains such as partial differential equations. This approach makes use of a variety of computational science techniques (e.g., application domain specific compilers/interpreters, mark-up languages, operator overloading) to transform one, perhaps high level, problem statement to correct and efficient software required to address a related issue. The goal of this workshop is to bring together developers and users of such tools to illustrate the state of the art and advance potential areas of common interest.
- 16: 2nd Workshop on New Trends in Numerical Methods for Multi-Material Compressible Fluid Flows
Contact: P.-H. Maire
This workshop follows on from the successful first one held in San Diego during the SIAM Annual Meeting 2008. It provides a forum for exploring the new trends in numerical methods devoted to the simulation of multi-material compressible fluid flows. It aims at bringing together applied mathematicians from universities and research laboratories to discuss the state of the art for multi-material hydrodynamics simulations. It will focus on the analysis and the applications of these numerical methods which is essential for research dealing with new sources of energy such as Inertial Confinement Fusion. Specific topics include (but are not limited to):
1) Numerical methods for multi-dimensional Lagrangian hydrodynamics.
2) Arbitrary Lagrangian Eulerian methodology.
3) Interface reconstruction methods.
4) Mesh Free methods.
5) Multiphase flows.
- 17: Agent-Based Computing, Adaptive Algorithms and Bio Computing
Contact: M. Paszynski
Agent-oriented system seems to be the attractive tool useful for numerous domains of applications.
It gives the ability to integrate results of different domains of computer science and constitutes the powerful tool for solving various problems.
The new approach to the simulation particularly in bio-computing and adaptive systems is possible to be developed mainly due to the results of the interactions among intelligent agents in complex adaptive systems.
The modern agent-oriented paradigm allows understand the adaptive (e.g. finite element / finite difference) algorithms as a collection of interacting agents making local decision about refinements.
This workshop focuses on the various applications of agent-oriented and adaptive systems and the roles of interactions of intelligent agents to build intelligent systems for miscellaneous, interesting applications.
To give - rather flexible - guidance in the subject, the following topics are suggested.
These of theoretical brand, like:
- multi-agent systems in high-performance processing,
- adaptive algorithms,
- agent-oriented approach to adaptive algorithms,
- nature-inspired algorithms, and biocomputing,
- mathematical modeling and asymptotic analysis.
And those with stress on application sphere:
- multi-agent systems in integration of different approaches,
- application of multi-agent systems in computational modeling, cognitive science, etc.
- application of adaptive algorithms and simulation.
- multi-agent systems in management of mobile robots,
- simulation and multi-agent systems,
- bio-computing and multi-agent systems
- 18: Practical Aspects of High-level Parallel Programming (PAPP 2010)
Contact: A. Benoit
The PAPP workshop focuses on practical aspects of high-level parallel programming: design, implementation and optimization of high-level programming languages, semantics of parallel languages, formal verification, design or certification of libraries, middlewares and tools (performance predictors working on high-level parallel/grid source code, visualisations of abstract behaviour, automatic hotspot 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 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.
- 23: Tools for Program Development and Analysis in Computational Science
Contact: C. Klausecker
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
- 25: Cognitive Agents: Theory & Applications
Contact: A.T. Lawniczak
Traditional agent-based models accurately approximate the behaviour of simple or simplified natural and man-made systems by mimicking and often bio-mimicking simple entities. They fall short of mimicking the behaviour of “sophisticated” animals and humans. “Cognitive agents” partially solve this problem by performing “Cognitive Acts” (i.e., a sequence consisting of all of the following acts: Perceiving, Reasoning, Judging, Responding, and Learning) as opposed to Agents, who perform “Reflexive Acts” (i.e., Perceiving and Responding). This workshop focuses on current research on theory and applications of cognitive agents and on the computational intelligence methodologies employed to allow Cognitive Agents performing Cognitive Acts.
- 27: Frontiers in the computational modeling of disease spreading
Contact: V. Colizza
Computational epidemiology is emerging as a new paradigm in the fight
against infectious diseases. Next to the terrific developments in epidemiological, laboratory, immunological, genetic, and medical research, computational sciences are providing additional tools to the
understanding of the disease dynamics at the population level. From the analysis of epidemic patterns, to the assessment of possible test scenarios to inform preparedness plans,to the use of sophisticate modeling approaches based on real data, computational epidemiology is proving to play an important role in epidemic science and in helping and supporting the decision process also in real time during public health emergencies. The H1N1 pandemic is a prominent example of how computational models allow closely watching the virus spreading, characterizing the observed pattern and proposing plausible scenarios for the future unfolding of the epidemic in the population.
The Workshop will bring together experts in the field of computational
epidemiology to compare and evaluate the recent advances reached with the use of sophisticate data-driven modeling, and assess their role in informing public health decisions for preparedness planning and during epidemic emergencies.
WORKSHOP PROGRAM COMMITTEEE
Vittoria Colizza, ISI Foundation, Turin, Italy
Alessandro Vespignani, Indiana University, Bloomington, IN, USA
Dirk Brockmann, Northwestern University, Evanston, IL, USA
Stefano Merler, Fondazione Bruno Kessler, Trento, Italy
SUBMISSION DEADLINE: Feb 5, 2010
- 29: Knowledge Representation and Applied Decision Making (KREAM)
Contact: D. Rodriguez
The aim of this workshop is to provide a forum for discussion and
debate on the application of knowledge representation and ontologies
in computational science and the techniques used for the manipulation
of such data specially using computational intelligence techniques.
Examples include: the gene ontology combining research from ontologies
and data mining; evaluation of social capital encompassing the
application of computational techniques to networks of social ties and
the dynamics of social interaction; financial computing with
representations such XBRL and financial analysis; software engineering
and project management with computational intelligence, etc.
- 31: Engineered & Social Networks: Theory and Applications
Contact: A.T. Lawniczak
“Network science” is the new scientific discipline examining the interconnections among diverse physical or engineered networks, information networks, biological networks, cognitive and semantic networks, and social networks. However, the scope of this workshop is limited to engineered and social networks, that is, those networks explicitly created by human beings by design (e.g. data networks, highway networks, transportation networks, etc) or by the social interactions of human beings (e.g., community groups, business association, social internet sites, etc). This workshop will cover recent research in theory and applications of engineered & social networks.
- 32: 2010 Workshop on Computational Finance and Business Intelligence
Contact: Y. Shi
The workshop focuses on computational science aspects of asset/derivatives pricing & financial risk management that relate to business intelligence. It will include but is not limited to modelling, numeric computation, algorithmic and complexity issues in arbitrage, asset pricing, future and option pricing, risk management, credit assessment, interest rate determination, insurance, foreign exchange rate forecasting, on-line 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. The award will be presented at the workshop in Amsterdam.
- 33: Video Intelligence (VI-2010)
Contact: Y. Cai
Rapidly growing online videos have challenged our computing and networking technologies, including video indexing, analysis, retrieval, forensics, and synthesis. In many prevailing studies, machine learning algorithms or their combinations have dominated. We found that a significant gap still remains between low-level features and high-level semantics. Our aim is to achieve an increased understanding of our perceptions of motion, abstraction and communication.
In this workshop, we intend to bring researchers from a broad range of fields to discover computational theories and models behind the real-world video applications. We especially welcome novel approaches toward semantic video understanding and intend to focus on new concepts rather than a combination of existing algorithms. We expected the workshop to be interactive and productive. In addition to the pre-proceedings for the workshop, we plan to publish a post-proceedings book as a Lecture Notes in Artificial Intelligence (LNAI) by Springer and a journal special issue. The invited topics include but are not limited:
-robust object tracking
-robust face recognition
- robust human detection
-multimodal video fusion
-video genre classification
-biologically inspired algorithms
Full paper due: January 30, 2010
Acceptance notification: February 15, 2010
Camera-ready copy: March 1, 2010
Authors are invited to submit full papers of up to 10 pages (maximum length), formatted according to Springer's LNCS Format. Submit to system as follows and choose the link and choose VI-2010 (Important)
Yang Cai (Chair), Carnegie Mellon University, USA
Xiaoming Liu, GE Research, USA
Richard Noland, CERT, USA
Kristopher Rush, CERT, USA
Todd Waits, CERT, USA
Mel Siegel, Carnegie Mellon University, USA
Brian Zeleznik, Carnegie Mellon University, USA
Xavier Alaman, UAM, Spain
Julio Abascal, UBC, Spain
Jose Bravo, UCLM, Spain
Jie Yang, National Science Foundation, USA
Brian Zeleznik, Carnegie Mellon University, USA
Yang Cai, email: email@example.com, phone: +01.412.225.7885
- 34: Poster Session
Contact: G.D. van Albada
Papers/abstracts submitted to this workshop will be considered for poster presentation at the conference, but will not be published in the proceedings. Submission is possible until May 1, 2010.
- 35: Computational Humanities
Contact: R. Bod
Computational Humanities is a new, largely unexplored, field which is situated at the interface between the humanities and the (exact) sciences, in particular information science. The humanities differ from the sciences in their concern with expressions of the human mind, such as language, literature, music, art and history. While computational approaches to the humanities exist since the 1960s, it is only during the last decade or so that digitized data have become available in such quantities that we can observe the emergence of a new overarching field. One of the major aims of this field is to automatically detect novel patterns and concepts in historical, musical, textual and artistic data that are (practically) impossible to find by hand. While initial work in computational humanities focused on local and low-level patterns, there is shift towards unraveling more complex, higher-level patterns such as the notion of theme in literature, style in painting and music, and long-term relations in history. The goal of this workshop is (1) to give an introduction to this upcoming field, and (2) to investigate to what extent computational humanities share models and techniques with other areas of computational science.
- 36: Try This
Contact: T. Tester