Modelling and simulation methodologies (M1-M11)
Functionalities (F1-F11)
Application domains (A1-A11)
Minisymposia (S1-Sn)


The programme of EUROSIM 2016 Congress includes invited talks, parallel, special and poster sessions, exhibition and versatile technical and social tours. The topics are organised as four groups of tracks:

  • Modelling and simulation methodologies (M1-M11)
  • Functionalities (F1-F11)
  • Application domains (A1-A11)
  • Minisymposia (S1-Sn)

A paper should be submitted to the main track with additional information about the related tracks (Submission). The minisymposia are special tracks where an acceptance of the organizer is needed.

Modelling and simulation methodologies 

M1 Computational intelligence

  • Evolutionary computation
  • Fuzzy systems
  • Knowledge-based systems
  • Natural language processing
  • Nature inspired systems
  • Neural and neurofuzzy systems
  • Pattern analysis and machine intelligence

M2 Concentrated parameter systems

  • Ordinary differential equations
  • Differential algebraic equations
  • Stochastic systems

M3 Conceptual modelling

M4 Complex systems

M5 Data analysis

  • Fractional differentiation
  • Reinforcement learning
  • Semantic mining
  • Statistical analysis

M6 Discrete event simulation

M7 Distributed parameter systems

  • Computational fluid dynamics
  • Partial differential equations
  • Stochastic systems

M8 Operations research

M9 Parallel and distributed interactive systems

M10 Simulation tools and platforms

  • Domain-specific tools
  • Simulation software
  • Hardware in the loop
  • Verification and validation

M11 Other Methodologies


F1 Control and optimization

  • Computers in control
  • Adaptation
  • Intelligent analysers
  • Model-based control

F2 Communication and security

  • Internet and cloud computing
  • Mobile and wireless systems
  • Security

F3 Education and training, e-Learning

F4 Fault detection & fault tolerant systems

  • Condition monitoring
  • Maintenance

F5 Human-Machine interaction

F6 Mechatronics and robotics

F7 Performance and risk analysis

F8 Planning and scheduling

F9 Sensing

  • Image, speech and signal processing
  • Sensor networks
  • Circuits, sensors and devices

F10 Virtual reality and visualization

  • Computer art
  • Serious games
  • Visualization

F11 Other Functionalities

Application domains

A1 Bio- and ecological systems

  • Agriculture
  • Bioinformatics and bioengineering
  • Biological and medical systems
  • Circular economy
  • Environmental modelling
  • Health care
  • Hydrological models
  • Pollution and waste

A2 Building and construction

  • Building automation
  • Construction engineering
  • Built environment
  • Energy and health

A3 Business and management processes

A4 Economic and social systems

  • Computational finance and economics
  • Control education

A5 Energy systems

  • Energy networks for electrcity, heat and gas
  • Geothermal energy
  • Hydropower
  • Power plants
  • Smart grids for heat and electricity
  • Solar energy
  • Wind energy

A6 Industrial processes

  • Chemical industry
  • Forest industry
  • Manufacturing industry
  • Metal industry
  • Mining and mineral processing
  • Pharmaceutical industry

A7 Security and military

A8 Transportation and vehicle systems

  • Aerospace
  • Automotive applications
  • Autonomous systems and vehicles
  • Harbour, shipping and marine
  • Logistics
  • Vehicle systems

A9 Water and wastewater

  • Treatment plants
  • Water and wastewater networks

A10 Weather and climate

  • Air quality models
  • Atmospheric modelling
  • Climate modelling
  • Northern lights
  • Polar meteorology
  • Weather services

 A11 Other Application Domains


S1: Best practices and new trends in control education
S2: Modelling and control aspects in wastewater treatment processes
S3: Modelling and simulation in applied energy
S4: Modelling and simulation in solar thermal power plants
S5: Object-Oriented technologies of computer modelling and simulation of complex dynamical systems
S6: Industrial Optimization Based on Big Data Technology and Soft Computing
S7: Simulation as Enabler for Space Missions & Operations

S1: Best practices and new trends in control education

Organizer: Finnish Society of Automation, Education Committee
Chair: Dr. Kai Zenger
Aalto University, School of Electrical Engineering, Automation and Systems Technology, Espoo, Finland

Scope: The idea is to gain experience and change ideas on how the field of Automatic Control is currently taught in different universities and other engineering schools in Europe. What is old, what is new? How have the students changed over the years and how is that considered in current control teaching methods? What modern tools are utilized, e.g. e-learning, simulation environments, learning projects, etc.? How are the modern methods and research results in teaching pedagogy utilized? Problems, Challenges, Achievements? The idea is to discuss the topic on a wide spectrum: we learn from the past but look into the future.

S2: Modelling and control aspects in wastewater treatment processes

Chair: Dr. Jesus Zambrano
Mälardalen University, School of Business, Society and Engineering, Västerås, Sweden

Scope: Different topics addressed in this Minisymposium include
- System analysis and optimization
- Numerical methods and software
- Model calibration
- Automatic control
- Mathematical modelling (integrated modelling, biochemical modelling, model-based optimization, anaerobic digestion, Monte Carlo simulations)
- Decision support systems
- Time series analysis and forecasting
- Automatic control

S3: Modelling and simulation in applied energy

Chair: Prof. Erik Dahlquist
Malardalen University, School of Business Society and Engineering, Sweden

Scope: The idea is to invite speakers to come up with proposals for papers on the use of simulation and modelling for the optimization and control of energy applications. This can include dimensioning of new processes and systems, development of models to be used and evaluated for optimization, production planning, MPC, diagnostics, scenario simulation, cycle analysis, and similar. The minisymposium has a base of papers from Malardalen university, Aalborg university, Telemark university college and University of Oulu. The plan is to divide the session into a number of sessions with around five papers in each buy soma online . Best papers will be selected and offered to be presented as refined papers in a special issue of Journal of Applied Energy, Elsevier (impact factor 5.6).

S4: Modelling and simulation in solar thermal power plants

Organizer and Chair: Dr. Luis J. Yebra
Co-chair: Eduardo Zarza
CIEMAT, Plataforma Solar de Almería, Spain

Scope: In recent years, an important quantity of concentrating solar thermal (CST) plants has been erected along the whole world for the purpose of energy supply from solar radiation. In the general case, any CST plant is a complex system formed by different components, frequently presenting important uncertainties and non-linear dynamic behavior. Most of the current CST plants are using Parabolic Trough Collector (PTC) and Central Receiver (CR) technology based components and aimed at electricity generation. CST plants aimed at electricity generation are called Solar Thermal Power plants and the acronyms CSP (Concentrating Solar Power) or STE (Solar Thermal Electricity) are used for this type of power plants. Frequently, both technologies PTC and CR are referred under the term Concentrating Solar Thermal (CST) technologies. The CST technologies gave rise to an incipient industry, mainly aimed at electricity generation, that is progressively including current research results although the development of new design, operation and control techniques is a growing field of research. Due to the great complexity of such energy systems including the intermittent and uncontrollable nature of the energy source (solar radiation), intermediate storage systems, other controllable renewable generators and variable load demand; new approaches have to be done in order to optimally operate and control systems of this kind.
Besides operation and control objectives, modelling and simulation could be more deeply applied in the whole life cycle of any STE plant, like in component development, logistics in the plant construction, dispatchability, hybrid plant configurations design, for citing just some of them.

S5: Object-Oriented technologies of computer modelling and simulation of complex dynamical systems

Organizer: Russian Federation the National Simulation Society
Chair: Prof. Yuri Senichenkov
St. Petersburg Polytechnic University, Russia

Scope: The first in Russian Federation the National Simulation Society integrates designers and users of computer tools for modelling and simulations of complex dynamical systems. The National Society supports and helps organizing two conferences «Computer modelling» and «Simulation modelling». The most interesting paper selects for journal publication. The journals «Humanities and Science University Journal», «Computer tools in Education», «St. Petersburg State Polytechnic Journal. Computer Science. Telecommunication and Control Systems» publish the articles of National Simulation Society members.
The minisymposium may help to integration of the National Simulation Society to European community. It is very important to Russian scientists today.

S6: Industrial Optimization Based on Big Data Technology and Soft Computing 
Yukinori Suzuki, Professor
Muroran Institute of Technology, Japan
Kai Zenger, Professor
Aalto University

Scope: Optimization of industrial systems is being studied in many field of industry. Optimization technologies are useful to design industrial systems that allow environmental acceptability without slowing down their performance. However, since industrial systems are usually complicated, the information to model them is uncertain, imprecise, and partial truth. Soft computing methodologies are able to provide solutions for the problems. Furthermore, big data technologies are impacting broad areas of technology. These technologies are powerful tools to obtain useful information to optimize systems. In the minisymposia, we will discuss industrial optimization based on big data technologies and soft computing through presenting our recent research activities. The minisymposia gives us opportunity to deepen knowledge on shared problems underlying optimization of industrial systems using soft computing and big data technologies. Furthermore, research collaboration among participants of the minisymposia will be encouraged.

S7: Simulation as Enabler for Space Missions & Operations
Organizer: Agostino G. Bruzzone, Genoa University

Simulation as Enabler for Innovative Technology Design and Testing applied to Space Exploration and Space Base Operations
Human projection on space is continuously evolving. Human settlement plans and planet exploration are taking huge benefits from the latest developments in space low cost solutions and new intelligent autonomous systems. The potential affects both crew activities and contexts where direct presence of human staff is still challenging, while future exploration will require new advanced capabilities.
Simulation represents the ideal technology enabler for this peculiar environment allowing to perform safe, extensive and low cost experimentation campaigns. Today, simulation is deeply involved in the experimentation for Space related operations, but there is a big potential in new researches and areas, from the use of Micro Satellites, to autonomous cooperative swarms of drones, to innovative systems for exploration and base operation and to intelligent robots to support humans in IVAs/EVAs (Intra/Extra Vehicular Activities).
For this vast and new fields the scientific community and industry is invited to propose the results of their researches. The session will deal in particular with the use and development of interoperable simulators to test real equipment, including Hardware, Software and Man in the Loop (HIL/SIL/MIL); the application areas include among the others: training, artificial intelligence testing, engineering, virtual prototyping, collaborative task assignment, new solutions and algorithms for systems for space missions and operations.