About The Conference

The human capacity to abstract complex systems and phenomena into simplified models has played a critical role in the rapid evolution of our modern industrial processes and scientific research. As a science and an art, Modelling and Simulation have been one of the core enablers of this remarkable human trace, and have become a topic of great importance for researchers and practitioners. The increasing availability of massive computational resources, and interconnectivity has helped fuel tremendous advances in the field, collapsing previous barriers and redefining new horizons for its capabilities and applications.

The International ECMS Conference on Modelling and Simulation is dedicated to help define the state of the art in the field. For several years, ECMS has proven to be an outstanding forum for researchers and practitioners from different fields involved in creating, defining and building innovative simulation systems, simulation and modelling tools and techniques, and novel applications for modelling and simulation.

ECMS Conference proceedings are indexed by SCOPUS, Web of Science and ET. ECMS2021 proceedings and individual papers can be viewed in the ECMS Digital Library at: http://www.scs-europe.net/dlib/dl-index.htm

Conference Program

All Times are GMT (Please click on the Session Title for more details)

Webjørn Rekdalsbakken is assoc. professor and leader of the bachelor program in Electrical Engineering at NTNU, Norwegian University of Technology and Science, Aalesund Campus, Norway. He was the last rector at the former Møre og Romsdal Engineering College (1994), which is now included in NTNU. He was leader of education at Campus Aalesund in the years before and after the merger with NTNU in 2016. He also held the position of Chair of the ECMS2013 conference in Aalesund.


Kjell-Inge Gjesdal is the founder and CEO of Sunnmøre MRI Clinic. He holds positions as assoc. professor II at NTNU, Norwegian University of Technology and is a part time research scientist at Akershus University Hospital. He has a PhD in MRI physics from University of Aberdeen.

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Session 1.1 (Simulation & Optimization)
09:30AM - 09:55AM
  • Real-Time Digital Twin Of Research Vessel For Remote Monitoring
  • Pierre Major, Guoyuan Li, Houxiang Zhang, Hans Petter Hildre
09:55AM - 10:20AM
  • Comparative Evaluation Of Lactobacillus Plantarum Strains Through Microbial Growth Kinetics
  • Georgi Kostov, Rositsa Denkova-Kostova, Vesela Shopska, Bogdan Goranov, Zapryana Denkova
10:20AM - 10:45AM
  • Using Semantic Technology To Model Persona For Adaptable Agents
  • Johannes Nguyen, Thomas Farrenkopf, Michael Guckert, Simon T. Powers, Neil Urquhart
10:45AM - 11:10AM
  • Differential Evolution Algorithm In Models Of Technical Optimization
  • Roman Knobloch, Jaroslav Mlynek
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Session 2: Modeling and Simulation for Performance Evaluation of Computer-based Systems
09:30AM - 09:55AM
  • Modeling And Analyzing Cloud Auto-Scaling Mechanism Using Stochastic Well-Formed Coloured Nets
  • Mohamed M. Ould Deye, Mamadou Thiongane, Mbaye Sene
09:55AM - 10:20AM
  • Telling Faults From Cyber-Attacks In A Multi-Modal Logistic System With Complex Network Analysis
  • Dario Guidotti, Giuseppe Cicala, Tommaso Gili, Armando Tacchella
10:20AM - 10:45AM
  • Metadata For Root Cause Analysis
  • Alexander A. Grusho, Nick A. Grusho, Michael I. Zabezhailo, Elena E. Timonina, Vladimir V. Senchilo
10:45AM - 11:10AM
  • Minimizing Mean Response Time In Batch-Arrival Non-Observable Systems With Single-Server FIFO Queues Operating In Parallel
  • Mikhail Konovalov, Rostislav Razumchik
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Session 1.2 (Simulation & Optimization)
12:10PM - 12:35PM
  • A Robust And Adaptive Approach To Control Of A Continuous Stirred Tank Reactor With Jacket Cooling
  • Roman Prokop, Radek Matusu, Jiri Vojtesek
13:00PM - 13:25PM
  • Robust Simulation Of Imaging Mass Spectrometry Data
  • Anastasia Sarycheva, Anton Grigoryev, Evgeny N. Nikolaev, Yury Kostyukevich
13:50PM - 14:15PM
  • Make-To-Order Production Planning With Seasonal Supply In Canned Pineapple Industry
  • Kanapath Plangsrisakul, Tuanjai Somboonwiwat, Chareonchai Khompatraporn
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Session 3 (Open and Collaborative Models and Simulation Methods)
12:10PM - 12:35PM
  • Pedestrian Simulation In SUMO Through Externally Modelled Agents
  • Daniel Garrido, Joao Jacob, Daniel Castro Silva, Rosaldo J. F. Rossetti
13:00PM - 13:25PM
  • MCX - An Open-Source Framework For Digital Twins
  • Sajad Shahsavari, Eero Immonen, Mohammed Rabah, Mohammad-Hashem Haghbayan, Juha Plosila
13:50PM - 14:15PM
  • Machine Learning Technology Overview In Terms Of Digital Marketing And Personalization
  • Anna Nikolajeva, Artis Teilans
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Session 1.3 (Simulation & Optimization)
14:45PM-15:10PM
  • Modelling Player Combat Behaviour For NPC Imitation And Combat Awareness Analysis
  • Paul Williamson, Christopher Tubb
15:10PM-15:35PM
  • Employment Of Temporary Workers And Use Of Overtime To Achieve Volume Flexibility Using Master Production Scheduling: Monetary And Social Implications
  • Marco Trost, Thorsten Claus, Frank Herrmann
15:35PM-16:00PM
  • Change Detection For Area Surveillance Using A Moving Camera
  • Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki
16:00PM-16:25PM
  • Planning Of Sustainable Energy Systems For Residential Areas Using An Open Source Optimization Tool And Open Data Ressources
  • Heiko Driever, Ursel Thomssen, Marc Hanfeld
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Session 4 (Finite – Discrete - Element Simulation)
14:45PM-15:10PM
  • Investigating The Load-Bearing Capacity Of Additively Manufactured Lattice Structures
  • Janos P. Radics, Levente Szeles
15:10PM-15:35PM
  • FE Model Of A Cord-Rubber Railway Brake Tube Subjected To Extreme Operational Loads On A Reverse Curve Test Track
  • Gyula Szabo, Karoly Varadi
15:35PM-16:00PM
  • Analysis Of Tip Relief Profiles For Involute Spur Gears
  • Jakab Molnar, Attila Csoban, Peter T. Zwierczyk
16:00PM-16:25PM
  • Implementation Of Bone Graft Adaptation's FE Model In HyperMesh
  • Martin O. Doczi, Peter T. Zwierczyk, Robert Szoedy
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Session 5 (Finance and Economics and Social Science))
8:25AM-8:50AM
  • Demographic And Statistical Modelling Of Grandfatherhood In Russia
  • Oksana Shubat, Mark Shubat
8:50AM-9:15AM
  • Models For Forecasting The Number Of Russian Grandparents
  • Anna Bagirova, Oksana Shubat
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Session 6 ( Business Process Modelling and Simulation for Industrial Operations)
8:25AM-8:50AM
  • Application Of Multiagent Simulation Modeling To Forecast Milk Receiving Process
  • Evgeny A. Nazoykin
8:50AM-9:15AM
  • Designing And Optimizing Production In A High Variety / Low Volume Environment Through Data-Driven Simulation
  • Virginia Fani, Bianca Bindi, Romeo Bandinelli
9:15AM-9:40AM
  • Evaluation Of Algorithm Performance For Simulated Square And Non-Square Logistic Assignment Problems
  • Maximilian Selmair, Sascha Hamzehi, Klaus-Juergen Meier
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Session 5 (Finance and Economics and Social Science)
10:10AM-10:35AM
  • Factor Modeling Of Russian Women’s Perceptions of Combining Family And Career
  • Natalia Blednova, Anna Bagirova
10:35AM-11:00AM
  • Clearinghouses Versus Central Counterparties From Margin Calculation Point Of View
  • Melinda Friesz, Kata Varadi
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Session 1.4 (Simulation and Optimization)
10:10AM-10:35AM
  • Capacity Loss Estimation For Li-Ion Batteries Based On A Semi-Empirical Model
  • Mohammed Rabah, Eero Immonen, Sajad Shahsavari, Mohammad-Hashem Haghbayan, Kirill Murashko, Paula Immonen
10:35AM-11:00AM
  • Research-Agenda For Process Simulation Dashboards
  • Carlo Simon, Stefan Haag, Lara Zakfeld
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Session 5 (Finance and Economics and Social Science)
12:00PM-12:25PM
  • Macroeconometric Input-Output Model For Transport Sector Analysis
  • Velga Ozolina, Astra Auzina-Emsina
12:25PM-12:50PM
  • Establishing A Basis For Decision Support Modelling Of Future Zero Emissions Sea Based Tourism Mobility In The Geiranger Fjord Area
  • Boerge Heggen Johansen
12:50PM-13:15PM
  • Modelling Economic Crises In Hua He Framewor
  • Nora Felfoeldi-Szuecs, Peter Juhasz, Gabor Kuerthy, Janos Szaz, Agnes Vidovics-Dancs
13:15PM-13:40PM
  • Discrete Event Simulation Of The COVID-19 Sample Collection Point Operation
  • Martina Kuncova, Katerina Svitkova, Alena Vackova, Milena Vankova
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Session 7: Machine Learning for Big Data
12:00PM-12:25PM
  • On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images
  • Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed M. Gaber
12:25PM-12:50PM
  • Towards Intrusion Detection Of Previously Unknown Network Attacks
  • Saif Alzubi, Frederic T. Stahl, Mohamed M. Gaber
12:50PM-13:15PM
  • Data Stream Harmonization For Heterogeneous Workflows
  • Eleftherios Bandis, Nikolaos Polatidis, Maria Diapouli, Stelios Kapetanakis
13:15PM-13:40PM
  • Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication
  • Marwan Hassani, Stefan Habets

Abstract: High reliability and availability are requirements for most technical systems including computer and communication systems. Reliability and availability assurance methods based on probabilistic models is the topic addressed in this talk. Non-state-space solution methods are often used to solve models based on reliability block diagrams, fault trees and reliability graphs. Relatively efficient algorithms are known to handle systems with hundreds of components and have been implemented in many software packages. Nevertheless, many practical problems cannot be handled by such algorithms. Bounding algorithms are then used in such cases as was done for a major subsystem of Boeing 787. Non-state-space methods derive their efficiency from the independence assumption that is often violated in practice. State space methods based on Markov chains, stochastic Petri nets, semi-Markov and Markov regenerative processes can be used to model various kinds of dependencies among system components. Linux Operating System and WebSphere Application server are used as examples of Markov models. IBM research cloud is used as an example of stochastic Petri net model. However, the state space explosion of such models severely restricts the size of the problem that can be solved. Hierarchical and fixed-point iterative methods provide a scalable alternative that combines the strengths of state space and non-state-space methods and have been extensively used to solve real-life problems. Real-world examples of such multi-level models from IBM, Cisco and Sun Microsystems will be discussed. Hardware systems as well as software systems and their combinations will be addressed via these examples. Novel approaches to software fault tolerance will be discussed.


Short Biography:Kishor Trivedi is the Fitzgerald Hudson Professor in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. He has a 1968 B.Tech. (EE) from IIT Mumbai and MS’72/PhD’74 (CS) from the University of Illinois at Urbana-Champaign. He has been on the Duke faculty since 1975. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, originally published by Prentice-Hall; a thoroughly revised second edition of this book has been published by John Wiley. The book is recently translated into Chinese. He has also published several other books: Performance and Reliability Analysis of Computer Systems, published by Kluwer Academic Publishers and Queueing Networks and Markov Chains, John Wiley. His latest book, Reliability and Availability Engineering is published by Cambridge University Press in 2017. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He has published over 600 articles, has supervised 48 Ph.D. dissertations and his h-index is 107. He is the recipient of IEEE Computer Society’s Technical Achievement Award for his research on Software Aging and Rejuvenation and IEEE Reliability Society’s Life Time Achievement Award. His. He has worked closely with industry in carrying our reliability/availability analysis, providing short courses on reliability, availability, and in the development and dissemination of software packages such as HARP, SHARPE, SREPT and SPNP.



Conference Committee

Conference Chair

Prof. Khalid Al-Begain

Conference Co-Chair

Prof. Andrzej Bargiela

Programme Chair

Mauro Iacono

Programme Co-Chair

Lelio Campanile

Conference Tracks(Themes)

The Conference welcomes submissions on all aspects of Simulation and Modelling, both theoretical and applied. So far special tracks will be organized on some of the following topics (changes will still happen)
(when submitting your paper you will have to decide on one of the tracks listed here as well as in the submission system)

Open and Collaborative Models and Simulation Methods
chair:
Henrique Gaspar, Norwegian University of Science and Technology NTNU, Aalesund Norway
co-chair:
Ricardo da S. Torres, Norwegian University of Science and Technology (NTNU), Aalesund Norway

This track aims at modelling and simulation works that uses the concept of openness and collaboration, that is, a piece of knowledge that the original code/algorithm/formula/process/method is made freely available and may be redistributed and modified (i.e. open) and the process of developing this piece in a way that facilitate peers to re-use, contribute, and develop further (i.e. collaborative). Special attention is given to methods to facilitate the adaptation and re-use of common mathematical and engineering tools in open and accessible mediums, like github or web-based apps. Examples of open tools applied to industrial cases are also welcome.


Topics:
  • Open design
  • Free / Open apps for modelling and simulation
  • Web-based development of technical tools
  • Test-driven development for mathematics and engineering
  • Free / Open software in industrial applications
  • Open 3D Modelling and Printing

This multidisciplinary track provides a context for academic and industrial scientists to exchange ideas about business process modelling and simulation methodologies and case studies of industrial operations, thereby encouraging international collaborative research and demonstrations of current research in all areas of modelling and simulation in industry and their applications, including service, process and transportation.


Contributions can be related (but are not limited) to:


  • Process modelling and simulation in manufacturing and services
  • Modelling and Simulation in education
  • Business Process modelling and simulation for Product Service Systems (PSS)
  • Methods for Enterprise Modelling, Engineering and Architecture Management
  • Advanced Modelling and Simulation Techniques for Distributed Systems and Operations
  • Supply and Service Chain Design, Planning and Management
  • Manufacturing and Maintenance Operations modelling and simulation
  • e-Business and Information Systems for the Extended Enterprise
  • Model simulation using languages and architecture frameworks such as UML, BPMN, IDEF, etc.
  • Business Process Analysis, Modelling and Simulation
  • Modelling and Simulation Languages for I4.0
  • Integrating business models with enterprise models
  • Interaction between business model innovation and service innovation
  • Theories, methods and tools for designing innovation in business models and services
  • Data-driven business process modelling and simulation

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
    • Social and Economics Neural Networks
    • Artificial Economics

  • Social science:
    • Social simulation
    • Opinion dynamics
    • Game theory and behavioural sciences
    • Social and cultural dynamics
    • Social networks
chair:
Professor Dr. Frank Herrmann.
co-chairs:
Professor Dr. Michael Manitz and Marco Trost MA

Complex systems in economic, engineering and natural sciences involve the solving of many optimisation problems. Many of the present approaches consider operations research techniques and, especially, optimisation models and dedicated approximation methods (heuristics, especially). 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 optimisation along with solutions (exact, approximation method as well as heuristics) shall be linked to solve optimisation problems faster or make their solutions better usable (under realistic conditions).
Topics:

  • 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.
  • Analysis and modelling the process of control systems design.
  • Optimisation procedures and optimisation potentials of complex systems.
  • Combinatorial optimisation and integer programming tools to handle complex systems.
  • Procedures of discrete event and continuous time simulation.
  • (Simulation-based) heuristic and algorithmic procedures (as genetic algorithms) for efficiently solving complex problems.
  • Optimisation Models for production planning and control, for operations and business processes, for technological devices, for logistics and so on.
  • Simulation Optimisation methods.
  • Simulation-based hybrid optimisation techniques.
  • Utilisation of simulation to make optimisation 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.
  • Simulation in the areas of production planning and control, logistics, transportation, supply chain management, and processes.
  • Simulation and optimisation models with consideration of sustainable aspects (including the economical, ecological and social dimension).
  • Simulation of continuous-time / discrete-time / hybrid systems for control purposes.
  • Simulation of continuous-time / discrete-time / hybrid systems for control purposes.
Finite – Discrete - Element Simulation

Nowadays the importance of the Finite Element Method (FEM) and the Discrete Element Method (DEM) is unquestionable. These simulation methods used frequently in the industry to lower the costs and improve the efficiency of the design process. The FEM is popular nearly everywhere in the engineering routine but the DEM is also used on several occasion. The nowadays techniques and the state of development of the different software systems can allow the coupled usage of the two different methods. Thus the topics include (but are not limited to) the following new developments:


  • Different FEM simulations from every engineering fields
  • Coupled FEM simulations from every engineering fields
  • Coupled DEM-FEM simulations
  • Coupled DEM-MBD simulations
  • DEM material model developments
  • Different applications of DEM
  • Different application of the coupled simulations
  • Practical usage of the FEM; DEM simulations
chair:
Dr. Frederic Stahl, (German Research Center for Artificial Intelligence (DFKI), University of Reading UK)
co-chairs:
Professor Dr. Mohamed Gaber (Birmingham City University, UK) and Dr. Marwan Hassani (Eindhoven University of Technology, Netherlands)

This Track’s area of interest is on the Volume and Velocity dimensions of Big Data. Volume, referring to the size of the data, Velocity, referring to the data that is generated rapidly and needs to be analysed in real-time. The workshop accepts papers on the application of Machine Learning and Data Mining Algorithms on large, complex or data generated in real-time. Applications are for example Simulation monitoring, Time Series Analysis, Network Intrusion Detection, Health Monitoring, Trend Detection in Twitter, Financial Monitoring, etc. The conference track also encourages the submission of papers that introduce new techniques, algorithms, systems and workflows, for large quantities of data, data streams and/or Time Series Analysis.


Topics of interest include but are not limited to:


  • Data Mining and Machine Learning algorithms, models and techniques
  • Data Mining and Machine Learning applications
  • Data Mining and Machine Learning on simulation data
  • Data Mining of Big Data streams
  • Data Mining of large quantities of data
  • Explainable Data Mining modelsExplainable Data Mining models
  • Scalability of Data Mining techniques
  • Real-time data stream analytics of simulation data
  • Data stream analytics systems
  • Concept Drift Detection techniques
  • Outlier Detection
  • Time Series Processing and Analytics
  • Visualisation of real-time data streams
  • Analytics of IoT data streams

Keynote Speakers

Digital Twins for Computer Haptic-Assisted
Orthopaedic Surgery

In medical imaging, digitalization has become the key aspect for future development. The realization of 3D organ models based on MRI, CT and ultrasound imaging is a growing research field. With the increasing amount of data from such medical examinations, and the improvement of the quality of the data, this creates unique possibilities to build realistic organ models. These models have the potential to very closely imitate both the anatomy and physiology of the human body. Therefore, such models could be used in the teaching of these disciplines, and not least in the planning and training of surgical interventions. In this project the goal is to establish digital twins of human joints, focusing on the knee and shoulder. The digitalization of medical imaging, and the digital acquisition of relevant medical data from many sources have opened up for the development of innovative and efficient tools constituting a new playground for surgeons and physicians. The access to real human physiological variables, combined with the increasingly advanced tools for designing and visualizing in 3D, opens the possibility of generating realistic digital 4D models of human joints. These 4D models will be designed as digital twins of its biological counterparts, including the functional positions, operational positions and dynamic variation of the 3D models. These models will be used in intelligent investigations of the joints, and in surgical interventions on the joints.



Webjørn Rekdalsbakken
is assoc. professor and leader of the bachelor program in Electrical Engineering at NTNU, Norwegian University of Technology and Science, Aalesund Campus, Norway. He was the last rector at the former Møre og Romsdal Engineering College (1994), which is now included in NTNU. He was leader of education at Campus Aalesund in the years before and after the merger with NTNU in 2016. He also held the position of Chair of the ECMS2013 conference in Aalesund.




Kjell-Inge Gjesdal
is the founder and CEO of Sunnmøre MRI Clinic. He holds positions as assoc. professor II at NTNU, Norwegian University of Technology and is a part time research scientist at Akershus University Hospital. He has a PhD in MRI physics from University of Aberdeen.