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 address 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. In the Proceedings of ICCMSE 2021 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 2021. If a Symposium consists of at least 10 registrations, the organizer will be granted free registration and have a part of the accommodation 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 2021, the title of 7th 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: 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

3) Title: Symposium on Computational Methods in Control and Signal Processing
Organizer: Wei Liu, Research Institute of Kochi University of Technology, Japan


With the rapid development of computer, computational methods have received increasing attention and 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

4) Title: “Computer and Mathematical Modeling on electrical engineering, applied physics and automation”
Organizer:  Alexander N. Herega, PhD, DSc, Prof. Andrew Yu. Bukaros, PhD, Doc. , Military Academy, Odessa, Ukraine


A short description of the Symposium
Topics of the session may include, but not limited to
– theory of modeling and simulation;
– multi-disciplinary approaches in modeling and simulation;
– modeling of physical phenomenon;
– computer-integrated methods and technologies;
– application of applied software for solving problems in electrical engineering and automation;
– applied methods of modeling and simulation in mechanical engineering;
– mathematical modeling in engineering, technology and production;
– modeling and simulation in electrical engineering, automation and control systems,
– modeling of dynamical systems;
– modeling of complex systems and self-organization;
– applied methods of modeling and simulation in material science;
– modeling and simulation in condensed matter physics;
– modeling and simulation in applied mathematics;
– industry simulation systems and trainer-simulators.

5) Title: 5th Symposium on Computational Methods in Economics and Nature Use (CMENU 2021)
Organizers: Assoc. Prof. Dr. Alexander N. Medvedev, Institute of Industrial Ecology UB RAS and Ural Federal University, Yekaterinburg, Russia, Active Member of the European Academy of Natural Sciences, Hannover, Germany. Assoc. Prof. Dr. Marina A. Medvedeva, 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 the 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.
In case Covid-19 pandemic will continue, the Symposium will be organized in virtual format (poster session on the ICCMSE web site, online or video presentations in Zoom or another internet conference platform).
The topics of interest (but not limited to) are the following:
– Data Analysis, Modeling and Simulation;
– Computer models, methods, algorithms;
– Software Tools, Information Systems, Web Applications;
– Artificial neural networks and other machine learning methods;
– Computer Sciences and Education;
– Financial and Environmental Forecasting;
– Related topics.

6) Title: Big Data and Machine Learning.
Organizer: Prof. Yousef FARHAOUI, Department of Computer Science, Faculty of sciences and Technic, Moulay Ismail University, B.P 509, Boutalamine, Errachidia, Morocco.  Tel: +212 672377651


The increasing use of information and communication technologies that are based on Big Data and Machine Learning, in our lives, and the big volumes of data that the companies and governments have to face, have raised multiple challenges to researchers. Our community will have to provide answers to questions like: What are the good solutions to manipulate and analyze large data sets? What are the appropriate mechanisms to transmit these data from one site to another?
Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, etc. 
High Performance Computing typically deals with smaller, highly structured data sets and huge amount  computation. Data Science has emerged to tackle the problem of  creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets. 
Networks Communications allow interconnections and exchange of information among various types of nodes ranging from humans, natural sites to computers. Indeed, the heterogeneous character of these ubiquitous connections brings forward the use of complex network technologies and theories.

7) Title: Solar Cells Materials
Organizer: Dr. Beddiaf Zaidi, Department of physics, University of Batna 1, Algeria.


The conventional energy sources have harmful consequences on the environment and are exhaustible. In order to circumvent these negative effects, the renewable energies in general and the photovoltaic energy in particular are becoming more and more attractive. Solar cell is an electrical device that converts light into electricity at the atomic level. These devices use inorganic or organic semiconductor materials that absorb photons with energy greater than their bandgap to promote energy carriers into their conduction band. 

8) Title: Diffusion of oxygen in cells for Covid-19 patients: Modeling, Simulation and Analysis.
Organizer:  Prof. S. G. Ahmed, Professor of Computational Mathematics and Numerical Analysis, Faculty of Engineering, Zagazig University, Zagazig, Egypt, P. O. Box 44519


The diffusion of oxygen in lung cells is very important, and many researchers have studied and analyzed the topic of oxygen diffusion in cells and their absorption, and since the spread of the new Corona virus (Covid-19) there are many studies and analysis, but the topic is not over yet. The idea of the symposium will take a different form from the seminars of mathematical analysis by being a medical mathematics symposium and aims to study the diffusion of oxygen in the cells of a patient of (Covid-19) with the aim of reaching a method that may benefit to some extent, and we already know that going into such studies has a risk to some extent. We hope to reach results that match reality.

9) Title: Recent developments in problems of Fluid Mechanics
Organizers: Chaudry Masood Khalique, North-West University, Mmabatho, South Africa.
Asim Aziz, National University of Sciences and Technology, Islamabad, Pakistan.


Fluid mechanics is the study of fluids either in motion or at rest. Liquids, gases and plasmas are all classified as fluids. The scope of fluid mechanics is vast and has countless applications in engineering and human activities. Researchers have extensively studied flow models for different geometries influenced by a number of factors including, fluid viscosity, bounding surface characteristics, external forces, boundary conditions, heat transfer analysis for Newtonian, non-Newtonian and nanofluids. The aim of this mini-symposium is to present and discuss recent advances in the physical understanding and applications of fluid flow using theoretical, numerical and experimental approaches.

10) Title:  Symposium “Functional metamaterials”
Organizer: Tatjana Gric, Department of Electronic Systems, Vilnius Tech, Vilnius, Lithuania, Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK, Semiconductor Physics Institute, Center for Physical Sciences and  Technology, Vilnius, Lithuania.


Controlling light, electricity, and heat have made a tremendous impact on technological advancements throughout human history. Advances in electrical and electromagnetic technologies, wireless communications, lasers, and computers have all been made possible by challenging our understanding of how light and other energy forms naturally behave, and how it is possible to manipulate them.
Over the past 20 years, techniques for producing nanostructures have matured, resulting in a wide range of ground- breaking solutions that can control light and heat on very small scales. Some of the areas of advancement that have contributed to these techniques are photonic crystals, nanolithography, plasmonic phenomena, and nanoparticle manipulation. From these advances, a new branch of material science has emerged—metamaterials. Metamaterials have, in the last few decades, inspired scientists and engineers to think about waves beyond traditional constraints imposed by materials in which they propagate, conceiving new functionalities, such as subwavelength imaging, invisibility cloaking, and broadband ultraslow light. While mainly for ease of fabrication, many of the metamaterials concepts have initially been demonstrated at longer wavelengths and for microwaves, metamaterials have subsequently moved to photonic frequencies and the nanoscale. At the same time, metamaterials are recently embedding new quantum materials such as graphene, dielectric nanostructures and, as metasurfaces, surface geometries and surface waves, while also embracing new functionalities such as nonlinearity, quantum gain, and strong light–matter coupling.
This Symposium focuses on the design and fabrication of metamaterials and other functional materials. These are complex structures patterned in ways that perform a special function, such as transparently blocking a specific color of light, or invisibly heating a window in a car. These functions more generally include manipulating light, heat, and electromagnetic waves in unusual ways. The Symposium is devoted to discussing 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.

11) Title: Computational Methods for Radiation Detection, Dosimetry and
Radiation Protection through the Novel Materials
Organizer: Shahryar Malekie (Assistant professor), Radiation Applications Research School, Nuclear Science and Technology Research Institute, PO Box 31485-498, Karaj, Iran.


In order to investigate the nuclear sciences and technologies including, but not limited to, radiation detectors, sensors, dosimeters, and radiation shielding materials, several computational methods including Monte Carlo simulations, Finite Element Method, Molecular Dynamics (MD) simulations and the other related approaches have been used. So in this Symposium, novel materials including nanocomposites are studied with potential applications in the nuclear industry and medicine through the innovative computational methods.

12) Title: Model order reduction of complex physical systems: an intelligent approach.
Organizer: Dr. Souvik Ganguli, Assistant Professor, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala-147004, Punjab, India.


Plenty of engineering applications are often represented by complex, high-order models that are troublesome to analyse, control and design. Their reduced models are more appropriate to provide deep insight and can also contribute to design lower-order controllers. The main motive behind various model reduction techniques is to obtain an appropriate lower-order model such that it retains the input-output behaviour and inherent characteristics of the original system with reduced error.
Time delays take place in several systems such as aircraft, chemical control systems, laser models, internet, biology, medicine etc. These delays may arise due to transport, communication or measurement. A great deal of work has already progressed in the field of reduced-order modelling for time-delay systems with classical approaches. The use of intelligent techniques and their applications to solve the order diminution problem seems to be an interesting choice.
Researchers from a variety of engineering fields are very eager to investigate fractional-order systems, as their mathematical models have proved to be more effective in depicting various physical phenomena such as electrochemical processes, long-distance lines, dielectric polarization, viscoelastic materials, coloured noise and even chaos. Mostly three types of fractional-order systems are reported. They are respectively coined as commensurate, non-commensurate, and fractional-order systems with non-rational powers. Commensurate type systems are those in which the non-integer powers of integrators and differentiators are multiple of a real number and therefore such class of system can easily be transformed into an integer-order system using simple assumptions. Non-commensurate systems involve non- integer terms that are not necessarily multiples of real numbers. Even fractional-order systems with non-integer terms in the form of non-rational numbers also exist. Further, the use of soft computing techniques has not been explored so much in the modelling of fractional-order systems. This creates an opportunity for the researchers and  scientists to explore new methodologies for the reduction of fractional-order systems to design a suitable controller for any process represented with the help of fractional-order differential equations. Unstable systems have always posed challenges to the researchers as well as engineers. Some of the typical systems that include unstable features can be found in modelling and control of aeroelastic aircraft, magnetically levitated apparatus engaged as a heart assist device, and modelling of multi-input multi-output system of NASA Highly Manoeuvrable Aircraft Technology (HIMAT). To deal with the order reduction of unstable systems, the common practice is to partition the original system into stable and unstable parts. Model order reduction is performed on the stable part. In the end, the reduced stable part is combined with the unstable part to obtain the overall reduced model. Another approach is to shift all the poles or the eigenvalues of an unstable system into the stable region and perform model order reduction of the linearly transformed system. The use of intelligent computation  techniques in reducing unstable systems is very rare. Hence, it will encourage the researchers to open an avenue of research in this field.
Unlike the unstable plants, the non-minimum phase plants have zeros on the right half of s- plane and are characterized by inverse time-response features. Typical examples of this type of systems are found in the hydropower plants. It is thus often critical and challenging as well to control these hydropower plants. As per literature records, the non-minimum phase plants are usually diminished to lower-order models with the help of the age-old classical techniques. The common practice is to partition the right half-plane zero/zeros and then reduce the original system. Further, these right half-plane zero/zeros are added to the reduced system to maintain the non-minimum phase feature. The use of metaheuristic techniques with appropriate constraints will throw a challenge to the traditional methods of order reduction problems associated with non-minimum phase plants.
Continuous stirred tank reactor, robotic manipulator, oblique wing aircraft, etc. are described in mathematical terms with the help of uncertain parameters and are termed interval systems. For the class of interval systems, some arithmetic formulations were developed by Kharitonov. Some of the popular methods for reduced-order modelling of interval systems involve differentiation method, factor division method, Cauer second form, moment matching method, Padé and Routh approximation methods. Even mixed methods involving two different classical methods are also dominant in the literature. The model reduction problem with the application of nature-inspired optimization algorithms can create an added advantage to this field of study.
Thus, the symposium will aim to provide an intelligent treatment to the model reduction problems of some of the complex physical systems, preferably time-delay systems, fractional-order systems, non-minimum phase plants, unstable and interval systems. Reduction-order modelling in both continuous and discrete-time domains are expected from the contributors. The symposium will encourage some new applications like smart grid and power converter modelling in addition to the regular field of an investigation involving single-input single-output (SISO) and multi-input multi-output (MIMO) systems. However, the symposium will not restrict the discussion of model order reduction to linear time- invariant (LTI) systems but can encourage contributions dealing with the modelling of nonlinear systems. 

13) Title: Intelligent control in 21st-century engineering: a multidisciplinary approach
Organizer: Dr. Souvik Ganguli, Assistant Professor, Department of Electrical and Instrumentation Engineering, Thapar,  Institute of Engineering and Technology, Patiala-147004, Punjab, India.


One of the main aims of engineering in practical systems is controlling the system in such a manner which can provide the desired output with robust performance. Therefore, the advancement of control theory is always a primary focus of research. The journey of the control system may be viewed from the control of steam engine to spacecraft, aircraft or missile control systems to networked control system and even cybersecurity controls. In terms of industrial control and application, the journey starts from the design of P-I-D controller to fuzzy controller neuro-fuzzy controller, backstepping Controller, sliding mode controller and also the event-triggered control. Recently, systems and control theory has spread its golden feather in different field of engineering by use of some of the splendid tools. In this era, the boom of the Internet of things is at its maximum pace. Different biomedical applications also come under this umbrella and providing the easiest way to continuous monitoring. One of the prominent research areas of green energy and sustainable development in which control is also playing a vital role such as load frequency controller, control of solar thermal plants, an event-driven building energy management system, speed- sensorless voltage and frequency control in autonomous DFIG based wind energy, hazardous energy control program and many more. In this era of the 21st century, every system is continuously trying to be smarter and smarter whether in direction of technology or software as well as in terms of hardware. One of the easiest methods to be smart is the internet. Therefore, the research on the internet of things (IoT) has converged the different real-time engineering branches. The symposium will include the journey of modern control theory with a multidisciplinary approach to the key engineering problems in the 21st century.

The expected topics of interest (but not limited to) are the following:
1. Industrial control systems
2. Intelligent PID control
3. Optimal co
4. Adaptive control
5. Distributed control systems
6. Batch process control
7. Fuzzy logic control
8. Neural network control
9. Sliding mode control
10. Guaranteed cost control
11. Event-triggered control
12. Backstepping control
13. Multiagent systems
14. Networked control systems
15. Cybersecurity control
16. Biological control
17. Power system control
18. Robotic control systems
19. PLC and SCADA
20. Internal model control
21. Predictive control
22. Control of environmental parameters
23. Control of nonlinear systems
24. Discrete-time control systems
25. System identification using metaheuristics

14) Title: Metaheuristic approaches to parameter estimation techniques for different
diode models
Organizer: Dr. Souvik Ganguli, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala-147004, Punjab, India.


From the past few decades, the world has seen many ups and downs in the field of power generation due to many prevailing issues presented by the conventional methods. The conventional fuels are drying out and would be empty very soon, further the amount of pollution contributed by them is huge. They produce a large number of harmful fumes in the environment directly into the air. Besides, they also pollute the water and the soil. As a result of it, people set out for finding an alternative for the production of electricity and came up with renewable energy resources. These energy resources do not pollute the environment and have unlimited availableness. Out of all the energy resources, solar energy has got the maximum potential as it is available to almost all the countries in the world and an abundant amount. The electricity is generated from solar energy by the use of photovoltaic (PV) technology. PV are the silicon-based semiconductor which when illuminated produces electricity.

For the proper evaluation of the PV panels, the knowledge of the appropriate mathematical model is crucial as they lead to the calculation of intrinsic parameters. These parameters are not provided by the manufacturer and if they are not known then the performance parameters including efficiency cannot be determined accurately. The efficiency of the panel may change slightly over the years and depends on its usage as well. It also depends on the environmental conditions the panel is subjected to and the different types of fault which may be internal or external faults that may appear in it. The intrinsic parameters of the PV panel depend on them also depends on the irradiation level and this is being used for the extraction of them. Different conditions which are known from the manufacturers are applied to the mathematical equations formulated from the mathematical model and then they are solved. Hence, an accurate model needs to be chosen for this. The literature has evidence of many such models which are known to give good results for the parameters extracted. Single diode model (SDM) is the simplest amongst the lot, in which the cell is represented with the help of  a single diode and accounts for the losses in the quasi-neutral region. It also consists of series resistance, parallel resistance and there are overall five parameters which need to extract from it. This model is the simplest and provides good results quickly. To get a clearer image of the PV cell a slight modification was made in the existing single diode model where another diode was added parallel to it and was called the double diode model (DDM). The second diode introduced accounts for the loss in the space charge region and is more accurate than the SDM. With accurateness the complexity and the number of variables to be estimated which increases to seven. DDM has proved out to give better results than SDM and is hence preferred over SDM. Together SDM and DDM are the most popular model on which the work of parameter estimation has been done till now. Another slight modification which has been done on the DDM is the addition of a new diode in parallel to it which makes three diodes in parallel and hence its name is three diode model (TDM). The third diode represents the losses occurring in the grain boundary and is considered as the most accurate model for a PV cell. It is a recently developed model and is the most sought-after model. The presence of three diodes in parallel increases the number of unknown parameters which increase to nine and so is the complexity. Hence, larger time is required by the algorithms to produce results for them. When resistance is added in series with any of the one diodes in the DDM then a new it becomes a new model known as modified two diode model (MDDM). It is also a newly developed and less explored model where the extra series resistance accounts for the losses in the grain boundary region of the diode. There are eight parameters which need to be estimated from MDDM and has its complexity lying between the TDM and DDM. There is another model which has been developed recently for the extraction of parameters of the organic solar cells and is known as reverse two diode model (RTDM). It consists of a diode and a resistance in parallel in the load side of the model and is the least explored model of all. The need for this model was felt as the conventional models do not produce good results for organic solar panels. It is indeed a very complex model with complex equations and the convergence characteristics are affected badly while extracting parameters.

For solving the non-linear equations generated from different models, analytical solution techniques cannot be applied to them as they would provide very poor solution and would be tedious. Hence, they are avoided. The numerical methods are also of many types. Hence, for solving the different diode equations metaheuristic algorithms came into limelight. These are population-based methods where the first the population is initialized randomly and are then updated during the subsequent iterations. They also serve as the optimization methods to  obtain the desired accuracy in the solution. These algorithms update the fitness of each of the member during every iteration and judge which one is the closest to the actual global maxima or minima of the problem. They are equipped to handle multimodal functions easily and do not get stuck due to the presence of local maxima or minima. Metaheuristic algorithms are advanced algorithms and impose no restrictions on the total number of variables. These algorithms have their history from the early years of 21 th century and since then advancements have been made constantly towards this and most all of them have been explored for the extraction of parameters of different diode modelled PV panels. This symposium will encourage submissions in the modelling of different PV models using different metaheuristic algorithms.

The expectation of the symposium consists of the following topics of interest (but not limited to):

  • Single diode model  
  • Double diode model  
  • Modified two diode model
  • Reverse two diode model  
  • Three diode model  
  • Multi-dimensional diode model  
  • Multi-junction diode model  
  • Bifacial solar cell modelling  
  • Experimental approach to solar cell modelling  
  • Datasheet information based solar cell modelling  
  • Single objective optimization for the parameter estimation problem  
  • Multi-objective approach to parameter assessment of PV cells  
  • New metaheuristic algorithms based on solar cell modelling  
  • Parameter estimation of industrial solar cells  
  • Modelling of thin-film solar cells

15) Title: International Symposium on Computational methods for time series analysis and forecasting.
Organizer: Dr. Sanjay Kumar (Associate Professor), Department of Mathematics, Statistics & Computer Science, Govind Ballabh Pant University of Agriculture & Technology, Pantnagar-263145, Uttarakhand, India. 


Symposium will focus on discussion forum for scientists, engineers, educators and students about the latest and innovative ideas and realization in the foundations, theory, models and applications for interdisciplinary research encompassing disciplines of Computer Science, Mathematics and Statistics. Topics of the interest will include  

  1. Data pre-processing methods: Data decomposition, seasonal adjustments, singular spectrum analysis detrending methods etc. 
  2. Modelling of uncertainty in time series forecasting 
  3. Adaptive and stochastic models 
  4. Time series analysis with computational intelligence 
  5. Time series forecasting with computational intelligence 
  6. Time series analysis and forecasting using soft computing techniques 
  7. Time series analysis and forecasting using evolutionary computing 
  8. Machine learning in time series analysis and forecasting 
  9. Forecasting of complex/Big data

16) Title: 5th Symposium on Computational simulation and experimental analysis of hygrothermal phenomena in historical building envelopes
Organizer:  Prof. RNDr. Zuzana Hlaváčová, CSc., Department of Physics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic.


A short description of the Symposium
The overall degradation of a historical 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 historical 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 historical 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 the degradation of historical masonry 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 historical materials on the other. The main topics include but are not limited to:
• Characterization of environmental impact on historical masonry
• Computational modeling of hygrothermal processes in historical building envelopes
• Determination of input parameters for computational analyses
• Experimental investigation of hygrothermal processes
• Computer-aided service life estimates

17) Title: Producing nanofibers from electrospinning liquid jets. 
Organizer: Abdullah Alsharif
, Taif University, Saudi Arabia


In this conference, we will discuss the process of producing nanofibers which is a common technique to produce small pellets which are generated from the break-up of rotating liquid jets. In many cases the fluids used are molten liquid and/or contain small quantities of polymers and thus typically can be modelled as non-Newtonian liquids.


19) Title: Mathematical Problems in Aerospace Science – MPAS-2021
Organizers: Prof. Calogero Orlando, Dr. Antonio Esposito, Dr. Stefano Valvano,
Kore University of Enna, Via delle Olimpiadi, 94100 Enna, Italy. 
Dr Andrea Ferrero, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy


Following the success of previous MPAS symposium held in Rhodes, Greece(2019) and virtually in Paris, France (2020), it was decided to hold the 3rd edition of the Mathematical Problems in Aerospace Science meeting in Heraklion, Crete, Greece as a symposium of ICCMSE 2021.
MPAS Symposium focuses on new results of aerospace science researches carried out by using mathematical and computational techniques. The aim of the Symposium is to collect relevant papers dealing with important approaches of applied and computational mathematics that have relevance to engineering in the field of Aerodynamics and Fluid dynamics, Propulsion, Materials and Structures, Aircraft and Spacecraft Systems, Flight Mechanics and Control, Aerospace Systems and Missions. Papers must be characterized by innovative models, methods and approaches that can found practical application to the engineering field or by new useful application of existing models to solve aerospace engineering problems.
The Symposium will be characterized by a multidisciplinary nature that, by means of a common need for mathematical and numerical models, can invite authors involved in the implementation of mathematical and numerical approaches with applications in different aerospace science areas including, but not limited to:

Adaptive Control, All-Electric Aircraft advancements, Fluid dynamics,
Additive Manufacturing for Aerospace, Aviation Human Factor, Green Aviation,
Aeroelasticity, Avionics, Noise control,
Aircraft Design, Computational Fluid Dynamics Optimization, Control and Identification,
Aircraft Flight Control Systems, Computational Mechanics Propulsion Systems,
Aircraft Guidance Navigation and Control, Damage and Fracture Mechanics, Sensors and Actuators,
Aircraft Maintenance and Failure Analysis, Digital Twins, Smart Structures and Materials,
Aircraft Systems and Equipment, Flight Mechanics, Space Engineering and Technology,
Aircraft Transportation, Flight Simulation, Space Exploration and Missions,
Air Traffic Management, Flight Tests, Structures and Materials

Selected works from the MPAS-2021 will be invited to submit, and can be published after blind peer review, in a Special Issue of Advances in Aircraft and Spacecraft Sciences, An Int’l Journal (ESCI, SCOPUS)

Important Notices

Preparation of the Extended Abstracts:
Registration: Registration – ICCMSE 2021
Accommodation: Accommodation – ICCMSE 2021
Deadline: Papers in the forms of Extended Abstracts should be sent to the MPAS-2021 Symposium Organizers no later than June 6, 2021 using one of the following emails:,,,

20) Title: Recent advances on the Bio-analytical privacy-preserving
Organizers: Dr. Waleed M.Ead,  
Faculty of Computers and Artificial Intelligence ,Beni-suef university, EGYPT
Emad Elab
, Department of Information Systems, Faculty of Computers and Information, Menoufia University, Egypt

Mohamed M.Abbassy, Faculty of Computers and Artificial Intelligence, Beni-suef University, EGYPT.



Data everywhere varies from biomedical data to nonbiomedical data and from structured to unstructured data. Furthermore, Data collected from different sources to different analytical purposes. Publishing data in its raw material will breach the data privacy. The adversaries’ backgrounds are different to be used in breaching the data privacy. So, in this Symposium we call for the recent advances and the state of the arts researches on the bio-analytical privacy preserved.

21) Title: Light-induced resonance processes in gases and plasma.
Organizer: Kosarev Nikolai Ivanovich, Doctor of physical and mathematical sciences, professor. Head of the Department “Fundamental Science Education”, Siberian Federal University, Institute of Non-ferrous Metals and Materials Science. Russia.


The aim of Symposium is presentation to the scientific community the results of computational modeling in various problems where there is interaction of radiation with resonance absorbing gases and plasma media. Related questions about laser physics, optics and spectroscopy, propagation radiation in laboratory and space plasma, problems of applied spectroscopy, also can be included in the conference agenda.

Organizers: Tiziana Campisi* ; Giovanna Acampa* Nurten Akgün Tanbay**; Vincenza Torrisi***
*Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy
** Department of Civil Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, 16330 Bursa, Turkey
*** Department of Civil Engineering and Architecture, University of Catania, Via S.Sofia 64, Catania, 95125, Italy


The session namely “THE DEVELOPMENT of SUSTAINABLE and ACCESSIBLE INFRASTRUCTURE and MODELING” focuses on new outcomes related to transport studies in engineering, mathematical and stochastic systems, infrastructures and urban planning using innovative models, methods and approaches. A sustainable transport planning and modeling approach promotes infrastructure and accessibility for all road users to all places. Different methods of calculation and evaluation help the possibility to arrive at the definition of controls and good practices. Technological approaches help to the development of research areas in the road network and infrastructure design, urban planning and design, numerical modeling, infrastructure production/management, engineering applications and materials. Therefore, computational methods in transport studies emerge as important research area. In this workshop, we are seeking to address research interests including but not limited to:

  • Sustainable Urban Design
  • Sustainable Mobility Planning and logistics
  • Resilience Infrastructures
  • MaaS (Mobility as a Service)
  • I-BIM Infrastructure Building Information Modeling
  • Traffic Planning and Modeling
  • Traffic Infrastructure Design
  • Machine learning
  • Shared mobility and mobility on-demand
  • Traffic Safety
  • Vulnerable Traffic Users
  • Urban Accessibility
  • Transport and Environments
  • Smart Mobility
  • E-mobility
  • Decarbonisation on transport 
  • Cost analysis and environmental assessment
  • Applied Statistics
  • ICT and ITS

23) Title: Multiphase flows
Organizers: Célio Fernandes
, Institute for Polymers and Composites, University
of Minho, Campus de Azurém, 4804-533, Guimarães, Portugal
Luis Ferrás, Center of Mathematics (CMAT), Department of Mathematics, University of Minho, Campus de Azurém, 4804-533 Guimarães, Portugal
Alexandre Afonso, Centro de Estudos de Fenómenos de Transporte, Departamento de Engenharia Mecânica, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal


Accurate prediction of multiphase flow behaviour is a problem of vast scientific and industrial interest. Using modern computers, researchers can now study dynamics in great detail, and computer simulations are offering extraordinary comprehension.
This symposium aims to hear about the key aspects of experimental techniques and computational methods to understand problems involving multiphase flows. Topics include, but are not limited to, the following areas of interest:
● Volume-of-fluid method;
● Front tracking;
● Surface tension;
● Disperse bubbly flows;
● Atomization and breakup;
● Droplet collision, impact, and splashing;
● Dynamics of liquid sheets
● Non-Newtonian multiphase flows
● Fluid-structure interaction
● Multiphase flow simulation
● Turbulent multiphase flow
● Heat and mass transfer in multiphase flow
● Phase transition and interface behaviour
● Multiphase chemical reactions
● Statistical approaches in multiphase flow
● Validation methods in multiphase flow

24) Title: Control of Cyber-Physical Systems
Organizers: Tomasz Rudnicki, PhD, Silesian University of Technology, Department of
Digital Systems, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 26 14, fax. +48 32 237 22 25,
Bernard Wyrwoł, PhD, Silesian University of Technology, Department of Digital Systems, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 18 95, fax. +48 32 237 22 25,
Remigiusz Wiśniewski, PhD, DSc, University of Zielona Gora, Institute of Control & Computation Engineering, ul. prof. Z. Szafrana 2, 65-516 Zielona Góra, Poland, tel.: +48 68 328 22 48,
Grzegorz Bazydło, PhD, University of Zielona Gora, Institute of Control  & Computation Engineering, ul. prof. Z. Szafrana 2, 65-516 Zielona Góra, Poland, tel.: +48 68 328 22 48,
Robert Czerwiński, PhD, DSc, Silesian University of Technology, Department of Digital Systems, 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, Department of Digital Systems, ul. Akademicka 16, 44-100 Gliwice, Poland, tel. +48 32 237 22 86, fax. +48 32 237 22 25.


A cyber-physical system (CPS) consists of integrated computational and physical components, whose behaviour is defined by cyber and physical parts of the system. The design methodology of such systems includes the joint dynamics of computers, software, networks, and physical processes. The physical part refers to the real world and is prone to environmental influences, while the control (cyber) part controls the objects and makes decisions. This symposium is focused on the recent research results, technology trends, developments, and achievements related to the control aspects of the cyber-physical system, including design and verification techniques, cyber-security, and application domains.

25) Title: Computational Strategies to Face Aerodynamics in General Engineering Applications.
Organizers: Dr. Francisco-Javier Granados-Ortiz. Industrial Engineer (University of Málaga, Spain) and PhD, (University of Greenwich, UK). PAIDI Researcher.
Department of Mechanical, Thermal and Fluid Engineering, University of Málaga.
Prof. Joaquín Ortega-Casanova. Industrial Engineer and PhD (University of Málaga, Spain). Professor of Fluid Mechanics. Department of Mechanical, Thermal and Fluid Engineering, University of Málaga.


There are many scenarios in engineering that involve aerodynamics and which have experienced important improvements recently. Such improvements are mainly thanks to the use of computational techniques, which may include more accurate mathematical modelling, improved definition of material or structural properties (porosity, permeability, effect of shear, effect of temperature, etc.), optimisation of new designs, modelling of uncertainty quantification, or the use of novel Machine Learning techniques.
This symposia welcomes computational studies related to any engineering application in any field (mechanical, aeronautical, biomechanical, agricultural, chemical, etc.) including but not limited to the use of:
– Computational Mechanics: Computational modelling: Finite Element (FEM), Finite Volume (FVM), Finite Difference Methods (FDM), etc. Including Fluid Structure Interaction (FSI).
– Numerical Modelling.
– Machine Learning.
– Optimisation techniques.
– Uncertainty Quantification
– Statistical techniques or models.

26) Title: Modeling approaches and computational methods for masonry structures strengthened by Fiber Reinforced Composite materials
Organizers: Gabriele Milani, Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering (ABC) – Italy
Elisa Bertolesi, Brunel University London, CEDPS – Civil and Environmental Engineering – UK
Ernesto Grande, University Guglielmo Marconi – Roma, Department of Engineering Sciences



The amount of studies continuously enriching the current literature point out the attention of the scientific community toward topics still object of investigation, concerning masonry structures strengthened by composite materials. The minisymposium welcomes contributions regarding methods of analysis and modeling approaches for the study of the local and global behavior of masonry elements and structures strengthened by Fiber Reinforced Composite systems. These may include, but are not limited to, numerical and analytical approaches, simplified formulas, FE models, etc., mainly finalized to deepen the bond behavior and global response of masonry elements strengthened by composite materials.

27) Title: Computational Bio- Imaging Analysis and Visualization
Organizers:  Co-organizer (Principal Organizer) João Manuel R. S. Tavares, Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal,  URL:, Phone: +351 22 508 1487

Co-organizer, R. M. Natal Jorge, Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
Phone: +351 22 508 1720


Extensive research has been performed concerning the imaging and visualization of structures in several different areas of science, such as in computer sciences, engineering, mathematics, physics and medicine. In fact, the more relevant applications can be found in medicine and related sciences. These applications can have different goals, including shape reconstruction, segmentation, motion and deformation analyses, registration, simulation, assisted diagnosis and enhanced visualization.
The main goal of the proposed Minisymposium is to bring together researchers involved in the related topics, which includes image acquisition, image segmentation, objects tracking, objects matching, shape reconstruction, motion and deformation analysis, medical imaging, scientific visualization and software development, in order to set the major lines of development for the near future.
The proposed Minisymposium will embrace researchers representing research fields related to Biomechanics, Computational Vision, Computer Graphics, Computational Mechanics, Mathematics, Medical Imaging, Scientific Visualization and Statistics, endeavours to make a contribution to achieving better solutions for bio- imaging and visualization, and attempts to establish a bridge between clinicians and researchers.

28) Title: Data Analysis & Statistical Modeling
Organizer: Luis M. Grilo, Polytechnic Institute of Tomar (IPT) and Open University (UAb); Center for Mathematics and Applications (CMA), FCT, New University of Lisbon; Smart Cities Research Center (Ci2), IPT; CIICESI, ESTG, Polytechnic Institute of Porto, Portugal


The objective of the Session is to bring together researchers with different interests and experiences in all aspects of Data Analysis and Statistical Modeling. Researchers, academics, professionals, as well as students interested in these scientific areas (closely related to Data Science, Data Mining, Machine Learning and Big Data) are invited to submit original unpublished results for peer review for presentation and publication.
Applications with real data are particularly welcome, namely in Natural Sciences, Life Sciences, Health Sciences, Social and Human Sciences, Economics, Engineering, Education, Tourism and Sports.

29) Title: Mathematical Models and Investigations Methods for Nonlinear Systems of Different Nature
Organizer: Ass. Prof., Dr. Alexey A. Kireenkov, Moscow Institute of Physics and Technology (National Investigation University), Institutskiy per. 9, Dolgoprudny, Moscow Region, 141701, Russia, ; Seniour Resechear, Ishlinsky Institute for Problems in Mechanics of Russian Academy of Sciences (IPMech RAS), Prospekt Vernadskogo 101, korp.1, 119526, Moscow, Russia


Main goal of this Mini-Symposium is providing a possibility for the exchange of new ideas and results between research groups in the field of mathematical models and their implementation for the investigation for nonlinear systems of the different nature.
Special attention will be given to examples of real problems considering interaction with dry friction, stability of motion and deforming processes, nonlinear behavior of continua, mechanics and thermodynamics of heterogeneous systems with phase transitions, dynamics of systems with fluid-gas-plasma-structures, and to other similar topics. Biological and social systems are also assumed to be included in this circle of problems.

30) Title: Boolean Networks Models in Science and Engineering
Organizers:  Juan A. Aledo, Department of Mathematics, University of Castilla-La Mancha, 02071-Albacete, SPAIN, Silvia Martinez, SIDIS Research Group, Department of Mathematics, University of Castilla-La Mancha, 02071-Albacete, SPAIN, Jose C. Valverde, SIDIS Research Group, Department of Mathematics, University of Castilla-La Mancha, 02071-Albacete, SPAIN,


The development of the theory of Computation is one of the most important tasks in the modern Mathematics. As a generalization of other notions like cellular automata used for modelling computational processes, Boolean networks have undergone a special development in the last decades.
In this sense, several research groups of mathematicians, physicians and engineers are working and obtaining relevant results in this area that can be also applied in other fields of Science and Engineering. We invite them to submit their latest research to our symposium, “Boolean Networks Models in Science and Engineering”, in the International Conference of Computational Methods in Sciences and Engineering 2021 (ICCMSE 2021).
We hope to collect interesting works in this field. Submissions are welcome presenting new theoretical results, new algorithmic as well as new models or applications in Science and Engineering.

Potential topics include, but are not limited to:

  • Dynamics of Boolean network models
  • Algorithms, methods, and software for the study of Boolean network models
  • Boolean network models applied in science and engineering
  • Mathematical modelling of Computation
  • Theory of Computation

Selected works will have the opportunity to be published in a Special Issue with the same title in the reputed journal Mathematics (ISSN 2227-7390; JCR-IF 1.747 (Rank Q1)).


31) Title: Modelling and simulation of complex systems for solving interdisciplinary problems of obtaining clean energy from household and industrial waste.
Organizers: Vladislav N. Kovalnogov and T.E. Simos,
Laboratory of Applied Mathematics for Solving Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, Ulyanovsk, Severny Venetz street 32, 432027, Russian Federation

The symposium will focus on exploratory research based on the created digital platform and machine intelligence to obtain digital technology solutions to ensure compliance with the combustion of ultra-lean fuel mixtures based on landfill gas and thermal decomposition products of urban and industrial waste, minimize chemical underburning and neutralize combustion products.

32) Title: Title: “Computer and Mathematical Modeling on Process / Mechanical Engineering: Solving Problems and Control Systems”
Organizer: Dr. Rania Jradi, University of Gabes, Tunisia


The aim of the proposed Session is to collect original research articles as well as review articles on the most recent developments and research efforts in the field of process / mechanical engineering, with the purpose to solving problems or to control systems by using computer and mathematical modelling and this to providing guidelines for future research directions.


Topics of the session may include, but not limited to:

– Theory of modeling and simulation;

– Multi-disciplinary approaches in modeling and simulation;

– Modeling of process system;

– Application of applied software for solving problems in process/ mechanical engineering;

– Applied methods of modeling and simulation in mechanical engineering;

– Mathematical modeling in engineering, technology and production;

– Modeling and simulation in process engineering and control systems,

– Modeling of dynamical systems;

– Modeling of complex systems;

– Industry simulation systems.


33) Title: Modeling and Simulation of formation of nanoparticles in different reactors
Organizer: PostDoc. Vivekananad Bal, Department of chemical engineering at Massachusetts Institute of Technology, United States.


Abstract: Understanding the formation of nanomaterials is important in industry as well as in academia. Evolution of nanoparticles in a reactor is influenced not only by the inherent nature of mechanism of the process but also by the hydrodynamics of the reactor. This makes modeling the formation of nanoparticles extremely complex. Complexity increases even more if the synthesis involves multiphase transport. Computational fluid dynamics coupled with population balance equation based model provides an excellent mean to study evolution of particles and size distribution in different reactors. Fluid dynamics is found to control the particle formation process by controlling the degree of mixing of energy and species in the reactor and thus by controlling the individual particle formation events, nucleation, diffusion growth, shear induced transport and coagulation of particles and Ostwald ripening process. This provides a mean to produce particles with small size and narrow size distribution by controlling the mixing pattern.

Outline: Formulation of models in different reactors including batch reactor, CSTR and microreactors, formulation of models for different particle formation events, details of simulation procedures and some important finding. 

34) Title: Reduced order modeling and its applications
Organizer:  Dunhui Xiao, Zienkiewicz centre for computational engineering, faculty of science and engineering, Swansea University. Address: Fabian Way, Crymlyn Burrows, Skewen, Swansea, UK, SA1 8EN.  


These simulations often involve solving partial differential equations (PDEs) with suitable boundary and initial conditions using discretization methods. The discretised system for complex problems often has a huge number of degrees of freedom. Even with moderate complexity problems, the computation cost can still be prohibitive. This has motivated the development of reduced order modelling (ROM) techniques. Reduced order models (ROMs) offer the potential to simulate dynamical systems with substantially increased computation efficiency in comparison to traditional techniques. The ROMs are often used to create system-level simulations, optimize product designs, design control systems, and build digital twin applications.  

This Symposium focuses on theoretical advances in reduced order modeling and its science and engineering applications.