Preliminary programme - All timings given are preliminary

Session Timing


  • 08.30-17.00   Registration
  • 08.45-09.00   Welcome Address and Introduction to ESM'2024
  • 09.00-10.00   Keynote - KEY_01
  • 10.00-10.30   Coffee Break
  • 10.30-11.30   Keynote - KEY_02
  • 11.30-12.30   Parallel Sessions
  • 12.30-13.30   Lunch
  • 13.30-15.00   Tutorial/Parallel Session
  • 15.00-15.30   Coffee Break
  • 15.30-17.30   Parallel Sessions
  • 17.30-   Free Evening

  • 08.30-16.30   Registration
  • 09.00-10.00   Parallel Sessions
  • 10.00-10.30   Coffee Break
  • 10.30-12.30   Session
  • 12.30-13.30   Lunch
  • 13.30-15.00   Tutorial/Parallel Session
  • 15.00-15.30   Coffee Break
  • 15.30-17.30   Parallel Sessions
  • 19.30-23.00   Social Event and Conference Dinner

  • 08.30-09.00   Registration
  • 09.00-10.00   Parallel Sessions
  • 10.00-10.30   Coffee Break
  • 10.30-12.30   Parallel Sessions
  • 12.30-12.45   Closing Session

Keynotes

KEY_01
Learning to unlearn

Michal Wozniak, Wroclaw University of Science and Technology, Wroclaw, Poland

KEY_02
A Cognitive Approach to Purposeful Autonomous Robots: Leveraging Motivational Hierarchization and Contextual Processing

Richard Duró, University of A Coruña, Spain

Tutorials

TUT_01
A State-of-the-Art Review of Random Number Generators with Parallel Streams

Prof. Pierre L'Ecuyer, DIRO, Université de Montréal, Montréal, Canada

TUT_02
Addressing Common Obstacles in Credit Risk Modeling and Solutions

Matej Urban, AREA42, Brussels, Belgium

Sessions

Simulation Methodology

SIM_METH_04_LOGIS
Modeling Cargo Clearance Duration Using Unshared Frailty Models

Liberato Camilleri and David Kipchumba Kemboi, Department of Statistics and Operations Research, University of Malta, Msida, Malta

SIM_METH_06_OP
Estimating Persistence: Hurst Exponent vs Empirical Persistence

Igor Litvine, COEF, Nelson Mandela University, Port Elizabeth, South Africa

SIM_METH_07_OP
Persistence and Long Memory in Random Processes

Igor Litvine, Nelson Mandela Metropolitan University, Port Elizabeth and Farai Mlambo, Wits Business School, Johannesburg, South Africa

Simulation Optimization

SIM_OP_01
Statistical Optimization with Averaging using a Mode of Six

William Conley, Austin Cofrin School of Business , University of Wisconsin at Green Bay, Green Bay, Wisconsin, U.S.A.

SIM_OP_05
Multi-Stage Monte Carlo Optimization with Averaging using a Mode of Eleven

William Conley, Austin Cofrin School of Business, University of Wisconsin at Green Bay, Green Bay, Wisconsin, U.S.A.

Analytical and Numerical Simulation Techniques

SIM_ANMT_01
Optimal Arrangement of Collocation Points in Pies for 2D Elastic Problems using PSO

Agnieszka Boltuc and Eugeniusz Zieniuk, Faculty of Computer Science, University of Bialystok, Poland

SIM_ANMT_04
Method for Eliminating Singular Boundary Integrals in Pies for Two Dimensional Poisson Problems

Krzysztof Szerszeń and Eugeniusz Zieniuk, University of Bialystok, Institute of Computer Science, Białystok, Poland

SIM_ANMT_06
Trajectory Estimation with Natural Spline and Exponential Parameterization

Ryszard Kozera, Institute of Information Technology, Warsaw University of Life Sciences – SGGW, Warsaw, Poland and The School of Physics, Mathematics and Computing, The University of Western Australia, Perth, Western Australia, Australia and Magdalena Wilko Lazka, Faculty of Natural Sciences, Warsaw University of Technology, Lublin, Poland

Machine Learning

SIM_AI_16_MAC
Machine Learning and Reproducibility Impact of Random Numbers

David R.C. Hill, Benjamin Antunes, Anthony Bertrand, Engelbert Mephu Nguifo, Loic Yon, Jeanne Nautré-Domanski and Violaine Antoine, Université Clermont Auvergne, Clermont Auvergne INP, ENSM St Etienne, CNRS, LIMOS, Clermont–Ferrand, France

SIM_OP_09
Optimizing Predictive Performance through Machine Learning Algorithm Selection and Hyperparameter Tuning

Paulina Tsvetkova, Institute of Robotics, Bulgarian Academy of Sciences, Sofia and Mayiana Mitevska, Paisii Hilendarski University, Plovdiv, Bulgaria and J. David Nuñez-Gonzalez, University of Basque Country, Eibar, Spain

SIM-AI_17_MAC
Leveraging Machine Learning for Threat Hunting in Network Security

Velizar Varbanov and Tatiana Atanasova, Department of Modelling and Optimization, Institute of Information and Communication Technologies – Bulgarian Academy of Sciences, Sofia, Bulgaria

SIM_IOT_01
Ensuring the IoT Security of Smart House using Smart SIEM and Machine Learning

Bilel Arfaoui, Hichem Mrabet and Abderrazak Jemai, Carthage University, Tunisia Polytechnic School, SERCOM-Lab, FST - INSAT, Tunis, Tunisia

SIM_IOT_05
Enhancing IoT Security in Smart Homes Using Machine Learning: Insights from the CIC IoT Attack Dataset 2023

Bilel Arfaoui, Hichem Mrabet and Abderrazak Jemai, Carthage University, Tunisia Polytechnic School, SERCOM-Lab, FST - INSAT Tunis, Tunisia

SIM_AI_13_NEUR_BIO
Augmented Single Instance-Driven Identification of Fungal Pathogens through the Convolutional Neural Networks

Rafal Wyszynski, Karol Struniawski and Aleksandra Konopka, Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

SIM_AI_19_NEUR
In Search of a Sequence Classifier for a System Employing NLP Encoding

Tomasz Strzoda and Joanna Polańska, Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland and Lourdes Cruz-Garcia, Mustafa Najim and Christophe Badie, Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical and Environmental Hazards, UK Health Security Agency, Oxfordshire, United Kingdom

SIM_AI_11
Capacitive Touch Sensor Modeling with a Physics informed Neural Network and Maxwell’s Equations

Ganyong Mo and Krishna Kumar Narayanan, KOSTAL Electrica, S.A., R&D Department, Polinya, and David Castells-Rufas and Jordi Carrabina, University Autònoma de Barcelona, Microelectronic & Electronic System, Bellaterra, Spain

Simulation in Biology and Medicine

SIM_BIO_01
Intraocular Lens Implant Support System for Patients with Astigmatism

Krzysztof Jaskot and Robert Bieda, Department of Automatic Control and Robotics, Silesian University of Technology, Gliwice, Poland

SIM_BIO_05
A Multi-Input Optimal Control Problem for Chemotherapy and Anti-Angiogenic Treatment

Mariusz Bodzioch, University of Warmia and Mazury in Olsztyn, Faculty of Mathematics and Computer Science, Olsztyn, Poland

SIM_BIO_07
Data-Driven Model for Chronic Kidney Disease Progression: A Work in Progress

Candelaria Alvarez and Remo Suppi, Department of Computer Architecture and Operating Systems, Universitat Autonoma de Barcelona, Barcelona, Jose Ibeas, Clinical, Interventional and Computational Nephrology, I3PT, Parc Tauli University Hospital, Sabadell, Spain and Javier Balladini, Department of Computer Engineering, Universidad Nacional del Comahue, Neuquén, Argentina

SIM_BIO_09
A Simplified Heart Age Model based on Cellular Automata

Beata Jackowska-Zduniak, Institute of Information Technology, Warsaw University of Life Sciences, Warsaw, Poland

SIM_AI_05_BIO
Advancing ECG Diagnostics: Constant-Q Transform and ResNet50 for Acute Myocardial Infarction with RBBB

Habiba Elfatouaki, Adnane Latif, and Mohamed Abdelbaki, University of Cadi Ayyad, Marrakech and Charafeddine Ait Zaouiat, Chouaib Doukkali University, El-Jadida, Morroco

Social System Simulation

SIM_TOOLS_03
On Some Aspects of Computer Programming of Business Simulation Games using Parallel Computations: An Example of Developing a “National Economy Development” Game

Egor Lazarevich, Boston University Academy, Boston, USA

SIM_METH_03
A Conceptual Modeling Framework for Socio-Technical Systems - A Case Study in Health Care

Florian Schierlinger-Brandmayr, Philipp Url, Mario Mauberger and Siegfried Voessner, Graz University of Technology, and Heidrun Sagmeister, Elisa Sieghartsleitner and Karl Tamussino, Medical University of Graz, Graz, Austria, and Diether Kramer, Steiermärkische Krankenanstaltengesellschaft m.b.H. and Sigurd Lax, Hospital Graz II, Graz, Austria

SIM_AI_20_NEUR
Media-Text: A Media Industry-Based Dataset for Scene Text Detection

Seweryn Kalisz, Joanna Polańska and Michał Marczyk, Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland and Yale Cancer Center, Yale University, New Haven, CT, USA and Rafał Fagas, media-press.tv S.A. media-press.tv group, Cracow, Poland

SIM_AGENT_01
Hardware Acceleration of Agent Based Simulations of Social Media

Anna Gausen, Ce Guo and Wayne Luk, Imperial College London, London, United Kingdom

SIM_AGENT_03_BIO
Emotion Recognition using Biomedical Signals in a Multimodal Emotion Analysis System for Social Robots

Kamil Skowronski and Adam Galuszka, Department of Automatic Control and Robotics, Silesian University of Technology, Gliwice, and Eryka Probierz, Silesian University of Technology, Gliwice, and Lukasiewicz Research Network, Institute of Innovative Technologies, EMAG, Katowice, Poland

Simulation in Emergency Management

SIM_DISC_01_MIL
Multi-Scale Discrete-Event Simulation Framework for Dynamic Combat Effectiveness Assessment

Irene Ndindabahizi, Tom Vancayzeele, Ben Lauwens, Beya Tahenti, and Johan Gallant, Department of Weapon Systems and Ballistics, Royal Military Academy, Brussels, Belgium

SIM_EMERG_01_traf
FFT Based Anomaly Detection in Railway Systems

Asier Garmendia-Orbegozo, Ivan Araquistain Marquina and Miguel Angel Anton, Energy, Climate and Urban Transition. Fundacion Tecnalia Research & Innovation. Azpeitia, and Jose David Nunez-Gonzalez, Department of Applied Mathematics. University of the Basque Country. Eibar, Spain

SIM_EMERG_03_bus
Use of Information to Support Application Software and Simulations in Crisis Management

Daniel Chovanec, Boris Kollár and Jozef Ristvej, Department of Crisis Management, University of Žilina, Žilina, Slovakia

SIM_EMERG_05
Diagnostic and Prevention Tools for Attacks in an Information System

Mamadou Kassé, Université Le Havre Normandie & Risk’n Tic, Le Havre cedex, Christophe Delpierre, Risk’n Tic, Neuilly Plaisance, and Rodolphe Charrier and Cyrille Bertelle, LITIS, Université Le Havre Normandie, UR 4108, Le Havre, Rouen, and Alexandre Berred, LMAH, Université Le Havre Normandie, FR-CNRS-3335, Le Havre, France

SIM_EMERG_06_MIL
Strategic Wargame Toolset for the Investigation of Emerging Disruptive Technologies Impact in Multidomain Operations

Andrzej Najgebauer and Dawid Maślanik, Cybernetics Faculty, Institute of Information Systems, Military University of Technology, Warsaw, Poland

Man in The Loop Simulation

SIM_ENERG_01
A Simulation on Graph-Based Learning for Energy Generation-Consumption Prediction in Energy Communities

Lucia Porlan-Ferrando, Raquel Riera-Lorenzo, Leire Hernandez-Lecuona, Ana Paula Aravena-Cifuentes and J. David Nuñez-Gonzalez, Computational Intelligent Group. Department of Applied Mathematics, University of Basque Country (UPV/EHU), Spain

SIM_IOT_07
Exploring Acceptance Factors of Internet of Things in Smart Home

Marzie Sadat Kasaii and Rosaldo Rossetti, Artificial Intelligence and Computer Science Lab (LIACC), Department of Computer Engineering, Faculty of Engineering University of Porto, Porto, Portugal

SIM-QUEUE_01
State Dependent Time-Inhomogeneous CTMC Models of Customer Abandonment in Call Centers

Maciej Rafal Burak, West Pomeranian University of Technology in Szczecin, Szczecin, Poland

Robotics Simulation and Navigation

SIM_OP_03
Tuning of PID Controller Using IC Algorithm for a Capsubot Robot

Artur Babiarz, Silesian University of Technology, Gliwice, Poland

SIM_TOOLS_01
Simulation of a SCARA Robot Movements -PID Controller Tuning Studying

Dominik Muszynski and Artur Babiarz, Silesian University of Technology, Department of Automatic Control and Robotics, Poland

SIM_AUTO_01
Path Planning of Guide Robot with Nonholonomic Constraints for Visually Impaired Assistance

Tomasz Grzejszczak and Michał Lasak, Department of Automatic Control and Robotics, Silesian University of Technology, Gliwice, Poland

SIM_VR_01
Utilization of Haptic Feedback to facilitate Navigation for Visually Impaired Individuals

Michał Lasak and Tomasz Grzejszczak, Department of Automatic Control and Robotics, Silesian University of Technology, Gliwice, Poland

SIM_VIR_PRO_01
Application of RFID Tag Array to pose Estimation of a Moving Object

Krzysztof Skrzypczyk, Silesian University of Technology, Gliwice, Poland

Simulation in Engineering

SIM_TOOLS_06
Model-Based Systems Engineering (MBSE) and Mechanical Computer Aided Design (MCAD) integration

Raquel Arrontes Quiroga, Rhea Mathew and Rob Vingerhoeds, Federation ENAC - ISAE-SUPAERO - ONERA, Université de Toulouse, France

SIM_AI_07_NEUR_ENG
Frequency Driven Screw Compressors State Prediction in Modern Air Control System

Kamil Kasprzyk and Adam Galuszka, Department of Automatic Control ad Robotics, Silesian University of Technology, Gliwice, and Marani Sp. z o.o., Zabrze, Poland

SIM_AI_03_NEUR
An Artificial Neural Network Model to Predict the Vibration at the Hands of a Drill Operator

Omarelfarouq Elgack and Naser Nawayseh, Mechanical and Nuclear Engineering Department, and Saleh AlBaiti, Sustainable Engineering Asset Management Research Group, RISE - Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, United Arab Emirates

Simulation in Manufacturing

SIM_AERO_01
Using Digital Twins in a Scenario-based Simulation Approach to Develop and Validate Operations Concepts for Spacecraft Components

Kristina Enes, André Kupetz and Gregor Jochmann, RIF Institute for Research and Transfer e.V., Department Robot Technology, Dortmund, and Juergen Rossmann, Institute for Man-Machine Interaction, RWTH Aachen University, Aachen, Germany

SIM_IOT_04
ML-IDS Solution for Securing Flexible Manufacturing Simulator (FMS)-Based IIOT Architecture

Aymen Wali, Hichem Mrabet and Abderrazek Jemai, INSAT, SERCOM Laboratory, Tunisia Polytechnic School, University of Carthage, Tunis, Tunisia

SIM_TOOLS_05
Quantitative Assessment of Complexity in SysML Models

Lakshmi Bhargav Gullapalli, Anoushka Bhatnager, Pierre de Saqui-Sannes and Rob Vingerhoeds, Fédération ENAC - ISAE-SUPAERO - ONERA, Université de Toulouse, France

Hardware Computing

SIM_OP_07
A Simulator-Based Study of In-Network Computing in Parallel Computing Systems with Fat-Tree Network Topology

Caglayan Dokme, Computer Engineering Department, Hacettepe University Ankara, Turkey

SIM_ANMT_02
Influence of Selected IFPIES Parameters on CPU Time and RAM Utilization

Andrzej Kużelewski and Eugeniusz Zieniuk, Faculty of Computer Science, University of Bialystok, Bialystok, Poland

SIM_AI_09_NEUR
Increasing the Observation Capabilities of Small Solar Telescopes using Neural Networks

Piotr Jóźwik-Wabik and Adam Popowicz, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland

SIM_METH_01_ENERG
A Numerical Model for Single Slope Solar Still

A.N. Mays, M.A. Almoussawi and N.M. Basil, Engineering Technical College of Najaf, Al-Furat Al-Awsat Technical University, Najaf, Iraq

Renewable Energy Technologies

SIM_RENEW_ENERG_01
Paradigmatic Case of Long-Term Co-location Wind-Wave Energy Feasibility Index Trend in Cantabrian Sea

Hodei Ezpeleta Lopetegi and Alain Ulazia Manterola, Department of Energy Engineering and Oihana Aristondo Etxeberria, Department of Applied Mathematics, University of Basque Country (UPV/EHU), Spain

SIM_AI_01
Brainstorming on Green AI approach by dimensionality Reduction for Sea Waves Height Prediction

Lucia Porlan-Ferrando and David Nuñez-Gonzalez, Department of Applied Mathematics and Alain Ulazia Manterola, Department of Energy Engineering, University of Basque Country (UPV/EHU), Spain

SIM_LEARN_AG_09_ENERG
Comparing the Resilience of Optimized Hybrid Renewable Energy Systems

Lasse Hammer, Stephan Balduin, and Eric MSP Veith, OFFIS e.V. and Carl von Ossietzky University, Oldenburg, Germany

Smart Energy Grid Management

SIM_LEARN_AG_14
Power Switch: Online vs. Offline Learning in the Energy Domain

Arlena Wellßow and Eric MSP Veith, Adversarial Resilience Learning, Carl von Ossietzky University & OFFIS e.V.,Oldenburg, Germany

SIM_LEARN_AG_10
Cover Me: Safeguarding Multi-Agent System with Deep Reinforcement Learning for Resilient Grid Operation

Eric MSP Veith, Adversarial Resilience Learning, Carl von Ossietzky University, Emilie Frost, Distributed Artificial Intelligence, OFFIS – Institute for Information Technology, Oldenburg, Germany

SIM_LEARN_AG_06
Tiered Durations: Scheduling at Different Time Resolutions

Eike Schulte and Stephan Balduin, OFFIS – Institute for Information Technology, Oldenburg, Germany

SIM_LEARN_AG_02_ENERG
Enhancing Cyber-Physical Energy Systems Simulations through Communication Behavior Classification

Malin Radtke and Sebastian Lehnhoff, Department of Computing Science, University of Oldenburg, Oldenburg, Germany

Smart Grid Co-Simulation

SIM_LEARN_AG_12
Show-Off — Towards a Framework for Comprehensive and Systematic Visual Analysis of Learning Agents Performance in Smart Grid Co-Simulations

Lena Engelmann, Adversarial Resilience Learning, OFFIS – Institute for Information Technology and Arlena Wellssow, and Eric MSP Veith, Adversarial Resilience Learning, Carl von Ossietzky University Oldenburg, Oldenburg, Germany

SIM_LEARN_AG_01
An Open-Source Carbon Emissions Simulator for Smart Grid Co-Simulation Scenarios

Danila Valko, OFFIS – Institute for Information Technology, Oldenburg, Germany

SIM_LEARN_AG_07
MASSCA: Scalable Multi-Agent System Framework for Smart Power Cell Co-Simulation

Danila Valko, Sharaf Alsharif, Deborah Tolk and Tobias Grimm, R&D Division Energy, OFFIS — Institute for Information Technology, Oldenburg, Germany

SIM_LEARN_AG_04
Co-Simulation Analysis for Large-Scale Electrolysers Integration in Electricity Grids

Sharaf Alsharif, Institute for Information Technology, OFFIS e.V Department, Oldenburg, Germany