Sessions – Minisymposia

Procedures for the approval of a proposal for a Session-Workshop or Minisymposium

The organizer must provide:
1. A proposal for the organization of a Session-Workshop or Minisymposium.
2. A small description of his/her proposal (no more than 150 words).
3. A short CV.
4. Information about the procedures which will be followed for the promotion of that Session-Workshop or Minisymposium (the organizer is responsible for the promotion).
5. His/her full affiliations along with an e-mail adress for the submission of papers on the subject of the Session-Workshop or Minisymposium.

Attention Note: The maximum number of papers per author is four (4)

After the approval, the organizer will be the person responsible for the selection of the papers. The papers must be sent to the ICCMSE Secretariat until 11 April 2020. In the Proceedings of ICCMSE 2020 the Sessions-Workshops and Minisymposia will lie in a separate section of the Volume with a Preface created by the organizer. Occasionally, the organizer must inform us about the participation of his/her Session. If a Session consists of at least 6 registrations, the organizer will be granted free registration for ICCMSE 2020. If a Symposium consists of at least 10 registrations, the organizer will be granted free registration and have a part of the accomodation expenses covered.

If a participant wants to send a paper to a Symposium mentioned below, please use e-mail address(es) of the organizer(s).


1) Title: Quantum Science (QS) -Computational Chemistry and Computational Physics
Organizer: Taku Onishi
, PhD (Chair), Mie University, JAPAN


In previous Computational Chemistry (CC) symposium (2015-2019), interdisciplinary discussion was performed between different research fields such as computational chemistry, computational physics, theoretical physics and related experiment. In ICCMSE 2020, the title of 6th symposium is hence renewed as Quantum Science (QS) for further progress. The world class research will be presented by active chemists, physicists and biologists related to quantum science.


Computational Chemistry, Computational Physics, Theoretical Physics

    • Experimental Research related to Quantum Science
    • Materials Science; Biological Science; Chemical Reaction
    • Computational Method Development in Chemistry and Physics

*If you wish to present your research in QS symposium,
please see the details on symposium homepage.

Homepage on this symposium:

2) Title: ISCSIT 2020 – 4th International Symposium on Computer Science and Information Technology
Organizers: Dr. Martin Kotyrba – Chairman,  Assoc. Prof. Eva Volna – Vice-Chairman, Dr. Vladimir Bradac – Vice-Chairman, Dr. Martin Zacek – Vice-Chairman, Dr. Bogdan Walek – Vice-Chairman, Dr. Zuzana Vaclavikova – Vice-Chairman,
University of Ostrava – Department of Informatics and Computers, 30. dubna 22, 70103 Ostrava, Czech Republic, Department of Mathematics, 30. dubna 22, 70103 Ostrava, Czech Republic


Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that under lie the acquisition, representation, processing, storage, communication of, and access to information. Information science and EDU is to mediate new findings and approaches of experts in the field of ICT application not only in Education. 


  • Computer scince
  • Information systems
  • Computer graphics, Image Processing, Computer Vision
  • Information technology
  • Web Ontologies, Deductions, OWL
  • Adaptive E-learning
  • Didactic principles of ICT supported instruction
  • Learning applications, eLearning and examination  withthe use of ICT
  • Computer based instruction in natural, technical and social sciences
  • Virtual learning environment
  • Computer networks
  • Databases and databases systems
  • Information and knowledge management

Best selected papers from ISCSIT 2019 will be invited to be extended and subsequently sent for reviews and publishing for special issue in the following journals:


Papers in the form of extended abstracts max.4 pages after the template send to the email

Paper submission deadline 11 April 2020


We note that our policy for the publication of more than one papers is the following:

For one paper: 300 EUR / For two papers: 450 EUR

3) Title: 4th Symposium on Computational Simulation and Experimental Analysis of Hygrothermal Phenomena in Building Envelopes
Organizer: Assoc. Prof. Dr. Zuzana Hlaváčová, Department of Physics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Trieda Andreja Hlinku 2, 94976 Nitra, Slovakia


Short description:

The overall degradation of a building material or structure can be expressed, in the simplest way, by a qualitative or numerical indicator of the global condition level which determines the loss of performance of the considered material, building part or the whole building under its climatic environment over time. Hygrothermal phenomena are responsible for a substantial part of degradation processes particularly in the cold regions, where water condensation and freezing belong to the main deterioration mechanisms. The load-bearing structures and surfaces are parts of a building where the assessment of the degradation level is most significant. The interface between structure and surface layer is another important point because if the adhesion of both layers is compromised, whole parts of surface layer can be detached. Computer simulation is a powerful tool for an assessment of the degradation level of a particular material or structure. However, the quality of input data presents a critical factor for the achievement of reliable results. Therefore, in any analysis of the environmental impact on degradation of building envelopes computational simulations and experimental measurements are supposed to be done together.

The symposium brings together mathematicians active in numerical analysis and applied mathematics on one side, and experimental physicists and materials engineers working in the field of hygrothermal analysis and degradation of materials on the other. The main topics include but are not limited to:

  • Characterization of environmental impact on buildings
  • Computational modeling of hygrothermal processes in building envelopes
  • Determination of input parameters for computational analyses
  • Experimental investigation of hygrothermal processes
  • Computer-aided service life estimates

4) Title: 4th Symposium on Computational Methods in Control and Signal Processing
 Wei Liu, The School of Electrical Engineering and Automation, Henan Polytechnic University, China


Since the birth of electronic computer, computational methods have been applied to various fields of sciences and engineering.
In the fields of control and signal processing, computational methods and techniques, modeling and simulation have been widely used to solve corresponding problems such as state estimation, stability and convergence analysis, controller design, and mining and extraction of information from signals, etc.  The symposium will focus on key aspects of computational methods in control and signal processing. Topics include, but are not limited to, the following areas of interest:
  • System theory and control theory
  • State estimation
  • Stability and stabilization
  • Fault diagnosis
  • Navigation and guidance
  • Information fusion
  • Information processing
  • Signal processing

5) Title: Fatigue Modelling on Different Length Scales
Organizer: Professor Dr. Siegfried Schmauder
, Institute for Materials Testing, Materials Science and Strength of Materials (IMWF), University of Stuttgart, Stuttgart, Germany


The objective of the Symposium “Fatigue Modelling on Different Length Scales” is to bring together researchers and engineers to discuss the characterization, analysis, prediction and assessment of the fatigue and fracture of structural materials and components. Furthermore, the aim is to provide a discussion forum for the present and future trends in analytical and numerical as well as experimental fracture mechanics, fatigue, structural integrity assessment, failure analysis, and other important topics in the field. Special focus is given on multi-scale approaches and their applications to present and new materials.

6) Title: 4th Symposium on Computational Methods in Economics and Nature Use (CMENU 2020)
Organizers:  Assoc. Prof. Dr. Alexander N. Medvedev
, Scientific Secretary of the Institute of Industrial Ecology UB RAS, Yekaterinburg, Russia, and Associate Professor of Department of Systems Analysis and Decision Making, Ural Federal University, Yekaterinburg, Russia, Active Member of the European Academy of Natural Sciences, Hanover, Germany,
Assoc. Prof. Dr. Marina A. Medvedeva, Head of the Department of Systems Analysis and Decision Making, and Associate Professor of Ural Federal University, Yekaterinburg, Russia


The Symposium is dedicated to the discussion of development and practical application of computational methods, information technologies, as well as modeling and simulation in such important spheres of human activity as economics and nature use and in related fields. The Symposium is conducted in the frames of ICCMSE Conference since 2017.
The representatives of academic and university science, business, as well as students and postgraduates are welcomed to take part in the Symposium.
Symposium presentations may describe the newly created models and methods, as well as particular examples of new and existing methods  use for the evaluation, analysis and forecasting of different indicators in the above mentioned fields.

The presentations may be in oral, poster or virtual format.

The topics of interest (but not limited to) are the following:

  • Data Analysis, Modeling and Simulation;
  • Financial and Environmental Forecasting;
  • Computer models, methods, algorithms;
  • Software Tools, Information Systems, Web Applications;
  • Artificial neural networks and other machine learning methods;
  • Computer Sciences and Education;
  • Related topics.

7) Title: Logic Synthesis and Control Systems
Organizers:  Robert Czerwinski
, PhD, DSc, Silesian University of Technology, Institute of Electronics, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 17 20, fax. +48 32 237 22 25,

Prof. Dariusz Kania, Silesian University of Technology, Institute of Electronics, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 22 86, fax. +48 32 237 22 25,
Marcin Kubica, PhD, Silesian University of Technology, Institute of Electronics, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 26 14, fax. +48 32 237 22 25,
Remigiusz Wiśniewski, PhD, DSc, University of Zielona Gora, ul. prof. Z. Szafrana 2, 65-516 Zielona Góra, Poland, tel.: +48 68 328 22 48,
Grzegorz Bazydło, PhD, University of Zielona Gora, ul. prof. Z. Szafrana 2, 65-516 Zielona Góra, Poland, tel.: +48 68 328 22 48


Complexity of modern digital circuits makes “manual” designing at a low level of abstraction practically unfeasible. A human designer must be supported by appropriate software tools, which can “translate” the desired function into a structure consisting of logic gates, and/or equivalent primitive elements available in the target technology. Logic synthesis is the crucial stage, providing the bridge between design description and technology mapping. As the result of the logic synthesis process a solution is generated, which is a structure of appropriately interconnected logic gates, flip-flops, LUTs, etc. Typically, the synthesis is performed for an objective function, such as minimizing the number of logic blocks (area), delay of interconnection, minimizing the power consumed, or making the implementation more testable. Logic synthesis utilizes very specific mathematical apparatus, e. g. set theory, and various kinds of graphs.

 The aim of the symposium is to provide a platform for discussion on recent research results, technology trends, developments, and achievements in the fields of logic synthesis, and control systems, together with security aspects.

Read more on the

8) Title: Computational methods in molecular spectroscopy
Abdulaziz Al-Saadi, PhD. Associate Professor, King Fahd University of Petroleum and Minerals (KFUPM), Dharan 31261, Saudi Arabia


The implementation of modern and conventional computational techniques in predicting and interpreting molecular spectra of small and large molecular systems in the ground and excited states has increasingly attracted the attention of chemists and physicists. Computational methods can provide key insights into the conformational and structural properties of the investigated molecules, allowing experimental spectroscopists to better comprehend collected spectral data. This symposium is welcoming all types of computational studies aiming at reaching conclusive understanding of the vibrational and electronic spectra as well as the conformational states of important compounds.

9) Title: Plasmonics and Metamaterials
Tatjana Gric, Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, Lithuania, Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK, Semiconductor Physics Institute, Center for Physical Sciences and Technology, Vilnius, Lithuania


The Symposium on Plasmonics and Metamaterials is devoted to discussing the recent developments in the fields of artificial materials and their applications ranging from compositions, structures such as orientation, arrangement, geometry, size, shape, and smart properties including manipulation of electromagnetic waves by blocking, absorbing, enhancing, or bending waves. The congress will provide a unique topical forum for engineers, students, researchers, professionals from academia and industries to present their research results, breakthrough innovations, discoveries, path-breaking ideas, experiences, and products display at an international platform.

10) Title: Fluid Dynamics
Organizers:  Prof. Dr. Zied DRISS
, Laboratory of Electromechanical Systems (LASEM), National School of Engineers of Sfax (ENIS), University of Sfax (US), B.P. 1173, Road Soukra km 3.5, 3038, Sfax, Tunisia


The aim of the proposed Symposium is to collect original research articles as well as review articles on the most recent developments and research efforts in Fluid Dynamics, with the purpose of providing guidelines for future research directions. 

Topics of interest include, but are not limited to:

  • Computational Fluid Dynamics
  • Environmental Fluid Dynamics
  • Multiphase Fluid Dynamics
  • Fluid Mechanics
  • Fluid-Structure Interaction
  • Aerodynamics
  • Hydrodynamics
  • Thermodynamics
  • Heat and Mass Transfer
  • Combustion
  • Rotating Flow
  • Reacting Flow
  • Compressible Flow
  • Jet and Wake Flow
  • Non-Newtonian Flow
  • Boundary Layer Flow
  • Turbulence Theory

11) Title: Challenges of Applying Big Data within ICTs
Organizers:  Dr. Enas Allozi
, Associate Professor in Information Systems and Computing, PhD in Information systems and computing/Brunel University West London, MsC in Management information systems/The University of Jordan, Bachelor degree in Management information systems/The University of Jordan


This track should reflect new concepts of big data technologies within the field of information and communications. Papers should support topics such as:
  1. Importance of big data into supporting decision making
  2. challenges of applying big data
  3. IT infrastructure for building big data platforms
  4. security procedures are taken into consideration when applying big data
  5. big data analysis and data science
  6. big data technical tools and platforms 
  7. Web tools for analyzing cyber big data
  8. future trends within the field of big data

12) Title: Stochastic Differential Equations and Machine Learning: old challenges and new perspectives.
Organizers:  Luca Di Persio, Department of Computer Science, College of Mathematics, University of Verona, Francesco Giuseppe Cordoni, Department of Computer Science, University of Verona


Recent years have seen an increasing interest concerning the relation between the theory underlying  the mathematical analysis of stochastic phenomena and its interplay with numerical methods related to the emerging field of machine learning. In particular, problems arising in Finance/Insurance, Industry, Energy production/consumption,  Biology as well as population dynamics and in depth study of complex systems characterized by huge number of interacting agents, as in the case of Mean Field Games scenarios, are usually treated exploiting the theory of Stochastic  (possibly w.r.t. partial derivatives) Differential Equations when different source of  randomness have to be considered in order to correctly model uncertainty coming from both exogenous and endogenous sources of noise. Such probabilistic approach has been extended over years to include diffusive as well as impulsive types of stochastic inputs, leading to impressive results concerning a huge set of real-world problems spanning from energy forecasting, to stock options dynamics, from collective human phenomena, to fault detection and predictive maintenance, etc. Such improvements heavily rely on numerical schemes implementing the mathematical theory behind them, e.g., for calibration aims or in order to produce optimized estimates based on relevant systems’ parameters. Last type of tasks have been recently became a focusing point within the so called Machine Learning approach to numerics. In particular, the challenge for the application of smart Neural Networks based techniques is rapidly becoming as one of the most stimulating one within the mathematical arena, blending sophisticated stochastic techniques, as in the case of  SPDEs treatment in infinite dimension, with pioneering, yet strictly formally correct,  approach to NNs-based calibration procedures.
Summing up, this special symposium aims at collecting contributes of the highest  mathematical level addressing the aforementioned challenges, also proposing new methods and insights as to close the gap between the well established SPDEs theory  and modern ML-based solutions.