Track chair

Zuzana Kominková Oplatková
Faculty of Applied Informatics
Tomas Bata University in Zlin
Nad Stranemi 4511
760 05 Zlin,Czech Republic
email: kominkovaoplatkova[at]fai.utb.cz

Co-chair

Roman Senkerik
Faculty of Applied Informatics
Tomas Bata University in Zlin
Nad Stranemi 4511
760 05 Zlin,Czech Republic
email: senkerik[at]fai.utb.cz

Description

In today’s world, there is an ever-increasing need for intelligent systems, systems that can learn and adapt to a changing environment. In order to achieve this, intelligent systems usually incorporate or are based on models or simulations of the environment. The intelligent system track will provide a forum for the presentation and discussion of recent research and applications of simulations for intelligent systems. It aims to encourage and to facilitate interdisciplinary communication amongst university researcher and industry professionals applying techniques such as evolutionary and genetic algorithms, fuzzy logic and artificial neural network models.

Topics of interest include but are not limited to:

• computational intelligence and cognitive systems
• fuzzy systems
• evolutionary and genetic algorithms
• artificial neural networks
• intelligent machine learning systems
• rule-based systems
• case-based reasoning
• methodologies, models and algorithms, tools

Papers dealing with the applications of computational intelligence in a widest sense are welcome but are not limited to:

• Classification
• data analysis
• decision support
• forecasting
• knowledge acquisition
• planning
• pre-processing of data
• process control
• robotics
• speech and image recognition
• web intelligence
• hybrid systems which combine different techniques
• simulation tools for research, education, development
• neural networks models of systems
• optimization
• interdisciplinary applications using soft computing methods.

Track chair

Krzysztof Amborski
Warsaw University of Technology
Institute of Control & Industrial Electronics
Koszykowa 75
00-662Warszawa, Poland
email: ambor[at]isep.pw.edu.pl

Co-chair

Jaroslav Sklenar
Department of Statistics and Operations Research
Faculty of Science, University of Malta
Msida MSD 06 Malta, Malta
email: jaroslav.sklenar[at]um.edu.mt
http://staff.um.edu.mt/jskl1/

Description

The papers in the track CSM deal with simulation of various technological, medical and social processes.

These processes are usually very complex and recognition of the laws governing them deserves also analysis of fundamentals.

Main topics of the track are:

• simulation of technological processes
• simulation of medical and biological issues
• mathematical fundamentals
• new perspectives in process analysis
• simulation of chemical reactions
• description and simulation of social processes.

Track chair

Alessandra Orsoni
University of Kingston Kingston
Business School Kingston Hill,
Kingston-Upon-Thames, Surrey, United Kingdom
email: A.Orsoni[at]kingston.ac.uk

Co-chairs

Serhiy Kovela
University of Kingston Kingston
Business School, Kingston Hill,
Kingston-Upon-Thames, Surrey, United Kingdom
email: S.Kovela[at]kingston.ac.uk

Dr. Arne Petermann
Director, Institute for Quality and Management in the Health Care System
International Academy at
Freie Universität Berlin
email: arne.petermann@fu-berlin.de

Description

This multidisciplinary track provides a context for academic and industrial scientists to address, explore and exchange cutting-edge research and results in the modelling and simulation of industrial, business and service systems and processes. With an increasingly global view of applied research, the aims of the track are to promote the integration and enhance the transferability of techniques and knowledge among these complementary areas of research.

Topics include (but are not limited to) new developments in the areas of:

• Modelling and Simulation of Industrial Systems and Processes; Planning, Scheduling and Control of Industrial Processes, Resources and Services; Advanced Modelling and Simulation Techniques for Distributed Systems and Operations, Supply and Service Chain Planning and Management; Intelligent Decision Support Systems and Optimisation Tools for Industrial Design, Layout, Maintenance and Operation.
• Simulation Tools and Modelling Techniques for Operations Research, Project Management and Control, Risk Management, Workflow Management, Management of Technological and Organisational Change, Concurrent Engineering, and Re-Engineering.
• Modelling and Simulation of Business Processes in the Private and Public Sectors; Knowledge Discovery and AI techniques for Business Intelligence; Knowledge Management Systems for Resources and Customer Relations Management; e-Business and Information Systems for the Extended Enterprise.
• Modelling and Simulation of the Service Value Chain, Service Chain Planning and Management Tools; Information Systems for Business Services, Financial Services, Public Services, Government Organizations, and Municipalities.
• Modelling and simulation of business and non-profit organizations, especially in the areas of strategy, organization, leadership, entrepreneurship, and marketing.

Track chair

Michael Möhring
Institut für Wirtschafts- und Verwaltungsinformatik
Universität Koblenz-Landau
Campus Koblenz
Postfach 201 602
56016 Koblenz
email: moeh[at]uni-koblenz.de

Co-chair

Ulf Lotzmann
Institut für Wirtschafts- und Verwaltungsinformatik
Universität Koblenz-Landau
Campus Koblenz
Postfach 201 602
56016 Koblenz
email: ulf[at]uni-koblenz.de

Description

Research in the domain of multi-agent systems (MAS) is becoming more and more important because of the capacity of MAS to design and simulate complex systems, i.e. systems composed of many entities in interaction between themselves and with an external environment. MAS are used in many domains in which classical mathematical models are not available because either the dynamics are far from equilibrium, or the systems are open (creation and deletion of entities in the course of simulation), or emergent phenomena have to be explored, or the entities are heterogeneous (for example, the eco-socio-systems which combine ecological and social dynamics), or simply because they provide a more intuitive understanding. The track is intended to offer a forum for people interested in agent-based simulation to discuss methodologies, techniques and applications.

We encourage contributions which present not only case studies but also critical analysis on the pertinence of multi-agent models and their usefulness for understanding or for decision making, design and validation methodologies, comparative studies in the modeling sciences. In particular, the subjects include but are not limited to:

• Design, implementation and validation methodologies, including participative protocols
• Modeling languages and platforms
• Agent architecture either for biophysical or for social simulations
• Interaction protocols including with humans
• Multi-level simulation and emergence of global phenomena (including norms and institutions)
• Time and space representation including multiple scales
• Comparison with centralized models, relationship between individual-based versus aggregative models
• Conceptual and epistemological analysis

Track chair

Gaby Neumann
Engineering Logistics
Faculty of Engineering/Industrial Engineering
Technical University of Applied Sciences Wildau
Bahnhofstr., D-15745 Wildau, Germany
phone: +49-3375/508-147
email: gaby.neumann[at]th-wildau.de

Co-chair

Edward J. Williams
College of Business, 131-B FCS
University of Michigan - Dearborn
19000 Hubbard Drive
Dearborn, Michigan 48126 USA
email: ewilliams[at]pmcorp.com

Description

The aim of the LT track is to offer researchers and practitioners, who are active in the field of basic and applied research on modelling and simulation of logistics and transport systems as well as supply chains, the opportunity to present, discuss and learn about the latest achievements in this area. Topics covered include but are not limited to:

Modelling and Simulation in Logistics

• Production and material flows
• Patient, personnel, material, and medicine flow in health care
• Logistics process control, batch tracking and tracing
• Reverse logistics & facility planning
• Siting, design and operation of warehouses and supply depots

Modelling and Simulation in Transportation

• Traffic and road management (incl. travel demand manag
ement, environmental impact, impact of traffic-induced pollution)
• Selection, management and timing of traffic controls
• Commercial and emergency vehicle operations
• Fleet management and logistics
• Public transport, maritime & harbour, intermodality, pedestrian & bicycle

Modelling and Simulation in Supply Chain Management

• Supply chain design, optimization and operation
• Responding to and reducing supply chain performance variance
• Managing risk and uncertainty in supply chains
• Routing, integration of routing, production and inventory management

Track chairs

Barbara Dömötör
Corvinus University of Budapest
Budapest, Hungary
email: barbara.domotor[at]uni-corvinus.hu

Flaminio Squazzoni
Department of Economics and Management
University of Brescia, Italy
email: squazzon[at]eco.unibs.it

Description

The broad area of finance, economics and other social sciences is addressed by this track with the aim of exchanging state-of-the-art methods, techniques and models among the leading scholars of the field.

Topics include (but are not limited to) new developments in the areas of:

Finance:

• Investment banking
• Risk management (VaR) and Risk Management Software
• Automated trading systems
• Corporate strategic planning
• Securities trading and financial risk management
• Investment management
• Derivatives and financial assets valuation
• Herding in Financial Markets
• Behavioural Finance
• E-Finance & E-trade

Economics:

• Public policy, population economics, environmental economics, health economics, mobility
• Fiscal and monetary policy, demand/supply relationships, GBP, interest rates, exchanges rates
• Project management
• Agent-Based Computational Economics
• Social and Economics Neural Networks
• Artificial Economics

Social science:

• Social simulation
• Opinion dynamics
• Game theory and behavioural sciences
• Social and cultural dynamics
• Social networks
• Agent-based modelling

Track chair

Jiri Vojtesek
Faculty of Applied Informatics
Tomas Bata University in Zlin
Nad Stranemi 4511
760 05 Zlin, Czech Republic
email: vojtesek[at]fai.utb.cz

Co-chairs

Petr Dostál
Faculty of Applied Informatics
Tomas Bata University in Zlin
Nad Stranemi 4511
760 05 Zlin, Czech Republic
email: dostalp[at]fai.utb.cz

Frantisek Gazdos
Faculty of Applied Informatics
Tomas Bata University in Zlin
Nad Stranemi 4511
760 05 Zlin, Czech Republic
email: gazdos[at]fai.utb.cz

Description

This track is focused on the modelling, simulation and control simulation of technological tools, such as liquid tanks, heat and mass transfer processes, batch chemical reactors, continuous stirred tank reactors (CSTRs), tubular reactors etc., which are often used in the chemical, biochemical and pharmaceutical industry. Computer simulation has special significance nowadays, when safety and cost minimization has the highest priority.

We invite researchers to submit papers from the following fields of modelling and simulation (but not strictly limited to):

• Systems with lumped parameters
• Systems with distributed parameters
• Adaptive and nonlinear control simulation
• Predictive control simulation
• Efficient tools for modelling and simulation

Track chairs

Joanna Kolodziej
Institute of Computer Science
Cracow University of Technology
ul. Warszawska 24
PL-31-155 Cracow
email: jokoldziej[at]pk.edu.pl

Horacio-Gonzalez-Velez
National College of Ireland
Dublin, Ireland
email: horacio[at]ncirl.ie

Sub-tracks

Modelling and Simulation of Data Intensive Systems Special Session

Research and Use of Multiformalism Modeling Methods Special Session

Probability and statistical methods for modelling and simulation of high performance information systems

Description

Modelling and simulation are widely considered essential tools in many areas of science and engineering for the prediction and analysis of complex systems and natural phenomena. They often require a significant amount of computational resources with data sets typically scattered across different geographical locations. Furthermore, the development of such complex modelling and simulation environments usually requires collaborative efforts from researchers with different domain knowledge and expertise, possibly at different locations. High performance computing is arguably required to deal with the behaviour and complexity of such large-scale systems.

The aim of the track is to present innovative academic and industrial research, methods, and techniques related to all aspects of modelling and simulation that employ high-performance computing technologies. Contribution can range from concepts and theoretical developments to advanced technologies and innovative applications. Topics of interest for the workshop include but are not limited to the following:

• Large Scale Systems for Computational Sciences.
• Biologically Inspired Modelling and Simulation.
• Advanced in Cloud and Grid Computing.
• Intelligent Network Modelling and Simulation.
• Data Intensive Computing and Data Mining.
• Social Networks.
• Simulation of Mobile Systems.
• Security Awareness and Energy Effectiveness in Distributed Data and Information Management.
• Parallel and Distributed Meta- and Hyper-Heuristics.
• e-Health Large Scale Systems.
• Large Scale Collaborative Problem Solving Environments.
• Distributed Global/Polynomial Optimization.
• Large Parallel and Distributed Multi-Agent Systems.
• Intelligent Mechanisms/Heuristics/Rules for Scheduling
• Resource Allocation and Management in P2P, Grid, Cluster, and Cloud Computing.
• Complex Machine Learning.
• Real Time Highly Parameterized Processes.
• Algorithms and Applications relating the above mentioned research areas.

Track chairs

Emile Chappin
Wuppertal Institute for Climate, Environment and Energy
Delft University of Technology
Delft, The Netherlands
email: E.J.L.Chappin[at]tudelft.nl

Flaminio Squazzoni
Department of Economics and Management
University of Brescia, Italy
email: squazzon[at]eco.unibs.it

Description

The 1960s and 1970s saw some first modelling and simulation attempts at advising policy makers. Half a century later it is the time to review the current state of affairs in computer-assisted, simulation-based policy modelling. This new track offers researchers an opportunity to submit papers in a wide variety of application areas and from a wide variety of simulation approaches, among them:

• system dynamics for forecasting and for foreseeing alternative futures microsimulation for forecasting national and regional demographic developments
• participatory modelling and simulation in environmental management, land use change, urban development and other areas
• supporting political decision making with scenario building
• designing the whole cycle of policy analysis, modelling and simulation with integrated tools for stakeholder involvement
• supporting the transformation and coding of natural language texts and conceptual models into formal simulation models
• visualizing conceptual models and simulation results of complex policy contexts to stakeholders

Track chair

Vilmar Æsøy
Aalesund University College
Postboks 1517
N-6025 Aalesund
Norway
email: ve[at]hials.no

Co-chair

Houxiang Zhang
Aalesund University College
Norway
email: hozh[at]hials.no

Description

Simulation and visualization for operator training are rapidly expanding from military and aeronautics applications into commercial industries and education. Increasing computational capabilities allows more and more complex systems to be simulated in real time and visualized in realistic animation environments. Simulator training reduces operational risk and prepares operators for possible and impossible scenarios. Simulation and visualization is also becoming important tools in engineering and design processes, to test and optimize new designs and reduce risk of failures. This is a rapidly growing field, both in academia and in industry. Due to the fact that science and technology today deals with the very small, the very large or the very complex systems, model building has become an integrated part of these areas. In this track we try to set focus on the use of simulators as an aid in an educational and training context. By this we mean to highlight the use of theoretical/mathematical models to obtain realistic behavior of physical systems. The track is intended to offer a forum for people interested in modeling and simulation in education and training of professional operators and engineers. Subjects include, but are not limited to:

• Simulators for operational training
• Simulators in design processes
• Virtual prototyping using modeling and simulation
• Hardware in the loop” simulators for system design and testing
• Multi-domain systems modeling and simulation
• Data structures and model representations
• Modeling of objects or environments, including system/component behavior and operations
• Modeling methodology
• Human factors relative to simulator training
• Related applications

Track chair

Stephen Chen
Zhejiang University of Technology
College of Computer Science, Institute of Intelligent Systems
Hangzhou 310023, PR China
email: sy[at]IEEE.org

Co-chair

Mai Xu
Tsinghua University
Dept. of Electronics Engineering
China
email: xumai.smth[at]gmail.com

Description

Computer vision is a field for processing high-dimensional data from the real world in order to produce numerical or symbolic information. A theme in the development of this field has been to duplicate the abilities of human vision by understanding images. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Applications range from tasks such as industrial machine vision systems to research into artificial intelligence and computers or robots that can comprehend the world around them. Computer vision covers the core technology of automated image analysis which is used in many fields. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. The track is intended to offer a forum for people interested in modeling and simulation of methods of computer vision and applications. In particular, the subjects include but are not limited to:

• Data structures and representations
• Modeling of objects or environments, including medical image analysis
• Shape and motion
• Vision systems
• Vision based navigation
• Event detection
• Vision based Interaction
• Automatic inspection
• Scene reconstruction
• Object recognition
• Learning from vision
• Related applications

Track chair

Frank Herrmann
University of Applied Sciences Regensburg
Innovation and Competence Centre for Production Logistics and Factory Planning
Postfach (PO box) 120327
93025 Regensburg
Germany
Tel.: + 49 941 - 943 1307

Track co-chairs:

Erik Krobat
University of Bundeswehr in Munich
Germany
email: erik.kropat[at]unibw.de
Thorsten Claus
International Graduate School (IHI) Zittau
Germany
email: claus[at]IHI-Zittau.de

Description

Complex systems in economic, engineering and natural sciences involve the solving of many optimisation problems. Many of the present approaches consider operations research optimisation models. Analytically tractable models are impractical in change settings due to their limitations in modelling important details and features of real world complex systems. Simulation models, on the other hand, provide the flexibility to accommodate arbitrary stochastic elements, and generally allow modelling of all the complexities and dynamics of real world applications without undue simplifying assumptions. However, simulation itself is not an optimisation approach. Thus, in this track methods and approaches of simulation and of the solution of optimisation problems shall be linked to solve optimisation problems faster or make their solutions better usable (under realistic conditions).

Topics should be:

• Applications of operations research optimisation on business processes in general as well as applications in economic, engineering and natural sciences.
• Analysis and modelling of complex systems.
• Optimisation procedures and optimisation potentials of complex systems.
• Procedures of discrete event and continuous time simulation.
• (Simulation-based) heuristic and algorithmic procedures for efficiently solving complex problems.
• Simulation Optimisation methods.
• Simulation-based hybrid optimisation techniques.
• Utilisation of simulation to make optimization problems and their (feasible) solutions usable under industrial conditions.
• Proper handling of uncertainty and the attainment of robust solutions.
• Methods of calibration, validation and verification of models (under realistic conditions).
• Tools for simulation and optimisation: their more effective design for operating under realistic conditions, especially concerning shorter runtimes, as well as their architecture.
• Combinatorial optimization and integer programming tools to handle complex systems.

Track chair

Hans Petter Hildre
Aalesund University College
Postboks 1517
N-6025 Aalesund
Norway
email: hh[at]hials.no

Co-chair

Sashidharan Komandur
Aalesund University College
Postboks 1517
N-6025 Aalesund
Norway
email: sash.kom[at]hials.no

Description

Simulators provide a setting for looking into complex operations in various fields. Use of simulators for evaluation and conceptualization of design and operations is an emerging area. Both the above goals require an experimental approach. Maritime operations are pioneering the use of simulators for this very purpose. This track is mainly intended for those using simulators with ultimate goals in improving design and operations in general across various fields, in particular in the maritime domain.

The track is intended to offer a forum for people interested in using simulators as experimental tools with ultimate goals in design and operational improvements. In particular, the subjects include but are not limited to:

• Use of simulators for training
• Use of simulators in concept design
• Cognitive ergonomics
• Physical ergonomics
• Organizational factors in operations
• Visualization
• Maritime industrial design
• Interface design
• User experience
• User interface design
• Usability
• Health & Safety
• Maritime occupational health

Track chair

Sigal Berman
Ben-Gurion University of the Negev
Beer-Sheva, 84105
Israel
email: sigalbe[at]bgu.ac.il

Sanja Dogramadzi
Bristol Robotics Laboratory
The University of Bristol/The University of West England
email: Sanja.Dogramadzi[at]uwe.ac.uk

Description

The Modeling and Simulation in Robotic Applications track is intended to offer a forum for people interested in modeling and simulation of robotic systems and their environments. Modeling and simulation are fundamental for design, implementation, training, and evaluation of robotic systems, their environments, and their operators. Robotic systems are complex, dynamic, multi-model systems posing multiple challenges to the modeler. Evaluation of robotic system performance is complex due to the inherent interaction between robotic system operation and the environment. Testing robotic system performance in a physical environment can be both costly and dangerous. Simulations are an important tool for robotic system evaluation augmenting and replacing physical tests. More and more robotic systems are integrated in dynamic, unstructured environments assigned to tasks that necessitate close cooperation with human operators. With such tasks modeling and simulation of robot operation becomes crucial for maintaining system performance and safety. As the interaction between the human operator and robot increasingly resembles that of co-workers rather than a master and a slave, models and real-time simulations are imperative for facilitating joint appreciation of the capabilities of each entity.

Subjects of this track include but are not limited to:

• Modeling and simulation for robotic system design
• Modeling and simulation for evaluation of robot performance
• Modeling and simulation of robotic environments and applications such as: industrial, domestic, search and rescue, agriculture
• Modeling and simulation of shared human-robot tasks and capabilities
• Modeling and simulation for safety in Human robot interaction
• Modeling and simulation for training and tele-presence
• Modeling and simulation for active vision

IPC members

• Prof. Yael Edan, yael@exchange.bgu.ac.il, Ben-Gurion University, Israel
• Dr. Jason Friedman, jason@post.tau.ac.il, Tel-Aviv University, Israel
• Prof. Thomas Hellström, thomash@cs.umu.se, Umea University, Sweden
• Prof. Dario G. Liebermann, dlieberm@post.tau.ac.il, Tel-Aviv University, Israel
• Dr. Nir Shvalb, nirsh@ariel.ac.il, Ariel University Center, Israel
• Dr. Armin Biess, armin.biess@gmail.com, General Motors - R&D, Israel
• Dr. Avital Bechar, avital@volcani.agri.gov.il, Volcani Center, Israel
• Dr. Uri Kartoun, kartoun.uri@mgh.harvard.edu, Harvard Medical School, USA
• Dr. Alex Lenz, Alex.Lenz@brl.ac.uk, Bristol Robotics Laboratory, UK
• Dr. Martin Pearson, Martin.Pearson@brl.ac.uk, Bristol Robotics Laboratory, UK
• Dr. Tony Pipe, Tony.Pipe@brl.ac.uk, Bristol Robotics Laboratory, UK
• Dr. Matthew Studley, Matt.Studley@brl.ac.uk, Bristol Robotics Laboratory, UK

Chairs

Sergiu Ivanov
University of Craiova
Faculty of Electrical Engineering
107 Decebal Blv., 200440, Craiova
Romania
Tel: +40 722 553 604
E-mail: sergiu.ivanov"at"ie.ucv.ro

Vittorio Ferrari
University of Brescia
Department of Information Engineering
Via Branze 38, 25123, Brescia
E-mail : vittorio.ferrari@ing.unibs.it

Program chair

Maria Jose Resende
TU Lisbon
Instituto Superior Tecnico
Av. Rovisco Pais 1, 1049-001 Lisboa
Portugal
Tel: (+351) 21 8417165
E-mail: mresende"at"ist.utl.pt

Description

The EEE track is open to all the specialists in the fields related to the electrical and electromechanical engineering. Its aim is to be a forum for the presentation and discussion of the recent research and applications of the modelling and simulation in the wide area of the two engineering branches.

Papers are welcome which present new developments in, but not limited to, the following topics:

• Theoretical Electricity
• Electrical Circuits
• Electronic Devices and Circuits
• Sensors, Actuators and MicroElectroMechanical Systems (MEMS)
• Electromagnetic Fields
• Optoelectronics
• Electrical Machines and Drives
• Power Systems Engineering (production, transport, distribution)
• Power electronics and control
• Energy and Environment
• Automotive equipments and electrical traction
• Mechatronics
• Bio-, Nano- materials & technologies applied in EEE
• Electrical Equipments and Technologies
• Applied Informatics in EEE