ISSI 2017

XI-th International Summer School on


June 26 - July 12, 2017, Varna (Bulgaria)

ISSI 2017 Preliminary Program is available from here

Aims and Scope

The Summer School of informatics is devoted to discussion of current researches, applications and education regarding the basic directions of information technologies, and business informatics:

Theoretical Foundations of Informatics: Conceptions, Modern approaches of Software Development, and Advanced Information Technologies;

Tools and Applications: Tools for Information Modeling, Applied Systems for Information Service, Information Access Methods and Collaboration Tools, Information Security and Reliability, New customer engagement models enabled by Informatics Tools;

Informatics of/in Education (IE): IE Conceptions, including relation to other/traditional fields of study, Computer Aided IE, Methodology of IE.


Steering Committee

Abdel-Badeeh M. Salem (Egipt)
Elena Chebanyuk (Ukraine)
Evgeny Eremin (Russia)
Juan Castellanos (Spain)
Koen Vanhoof (Belgium)
Krassimir Markov (Bulgaria)
Levon Aslanyan (Armenia)
Lyudmila Kirichenko (Ukraine)
Lyudmila Lyadova (Russia)
Luis Fernando de Mingo (Spain)
Natalia Ivanova (Russia)
Olexii Voloshyn (Ukraine)
Stoyan Poryazov (Bulgaria)


The official languages of the Summer School are English and Russian.  


Current Workshops:


Workshop on General Information Theory

Chair: Krassimir Markov, Institute of Information Theories and Applications, Sofia, Bulgaria

Lecture: Advances in General Information Theory

Abstract: There exist several common theoretical information paradigms in the Information Sciences. May be, the most popular is the approach based on the generalization of the Shannon's Information Theory [Shannon, 1949; Lu, 1999]. Another approach is the attempt to be synthesized in a common structure the existing mathematical theories, which are applicable for explanation of the information phenomena [Cooman et al, 1995]. Besides of this, we need to point the diligence of the many researchers to give formal or not formal definitions of the concept "information". At the end, there exist some works that claim for theoretical generality and aspire to be a new approach in the Information Science, but theirs authors should clear up what they really talk about.

The development of GIT had started in the period 1977-1980. The first publication, which represents some elements of GIT, was published in 1984. The fundamental notion of the GIT is the concept "Information". All other concepts are defined based on this definition. In 1988, the not formal definition of the concept of Information was published. It became as a fundamental definition for the General Information Theory.

The presented in this workshop General Information Theory (GIT) is based only on primary consideration of the world as variety of entities, which are formed by relationships between entities that form lower levels. GIT is built by three specialized theories: Theory of Information, Theory of Infos, and Theory of Inforaction.


Workshop on Artificial Intelligence

Chair: Abdel-Badeeh M. Salem, Professor of Computer Science, Head of Medical Informatics and Knowledge Engineering Research Labs, Faculty of Computer and Information sciences, Ain Shams University. Abbasia, Cairo, Egypt.  ,  , 


Lecture: Knowledge Computing and Engineering in Biomedical Informatics and Healthcare

Abstract: The field of knowledge computing (KC) has become the most challenging area in the last several years. KC deals with the development of intelligent computing and knowledge-based systems in which knowledge and reasoning play pivotal role. KC consists of three main areas, namely: Document Engineering (DE), Knowledge Engineering (KE), and Reasoning Techniques (RT). KE includes; knowledge acquisition, expert systems, ontologies, knowledge-based systems, knowledge compilation, shells and tools, methodologies, modeling, knowledge management, knowledge discovery, and knowledge representation techniques. The aim of this talk is to make an overview of some of KC techniques and approaches and their applications in biomedical informatics and healthcare. The talk presents the following techniques and applications: (a) case-based reasoning approach for cancer and heart diagnosis, (b) ontological engineering for breast cancer knowledge management, and (c) mining patient data using rough sets theory to determine thrombosis disease.

Lecture: Web-Based Ontology for Expert Systems

Abstract: Expert system (ES) is an intelligent system incorporating a knowledge base and inference mechanism. It is a highly specialized piece of intelligent software that attempts to duplicate the function of an expert in some field of expertise. Expert systems were originally developed to solve ill-defined problems and well-defined problems that are not efficiently solved with algorithmic approaches. The ES acts as an smart advisor or consultant in the domain of interest, capturing the heuristic knowledge of one or more experts. Its strength lies in its ability to be put to practical use when an expert is not available. From the artificial intelligence (AI) point of view, expert systems paradigm include the following areas of research: (a) knowledge-representation and management techniques, (b) knowledge modeling, (c) intelligent tools, programming languages and shells, (d) inference techniques, (e) reasoning methodologies, ( f) machine learning, and (g) user interface technologies.

On the other side, ontological engineering is one of the very efficient approaches for knowledge management. Ontology is the foundation of describing a domain of interest and it consists in a collection of terms organized in a hierarchical structure that shape the reality. The main objective of using ontologies is to share knowledge between computers or computers and human. Most of the usages of ontologies in the field of AI are related to development of intelligent systems and knowledge based systems. These types of ontologies include a small number of concepts and their main objective is to facilitate reasoning tasks. This talk presents the developing of web-based ontology for expert systems paradigm. The developed ontology was encoded in OWL-DL format using the Protégé-OWL editing environment.

Lecture: Exploiting Artificial Intelligence Technology in Education and Learning

Abstract: The field of artificial intelligence in education (AIE) has become the most challenging area in the last several years. It includes the disciplines; cognitive and social psychology, computer science, empirical psychology, software and knowledge engineering. The goal of the AIE is to deliver knowledge-based systems which can be used in real teaching, learning and training situations. AI gives these systems added computing capability, allowing them to exhibit more intelligent behavior. Many types of these systems are in existence today and are applies to different domains and tasks. This lecture discusses the use of AI technologies in intelligent tutoring systems (ITS) and e-learning. Particularly, the lecture presents three AI methodologies, namely; case-based reasoning, data mining and knowledge discovery, and ontological engineering from e-Learning perspective. In addition, the lecture presents some examples of the developed systems by the author and his colleagues at Artificial Intelligence and Knowledge Engineering Research Labs, Ain Shams University, Egypt.


Workshop on Software Engineering

Chair: Elena Chebanyuk, National Aviation University, Kyiv, Ukraine

The workshop is supported by: ITHEA Software Engineering Forum

ISSI Software engineering workshop general topics
― Theoretical Aspects of Software Engineering
― Tools, Techniques, Algorithms and Methods for Management Software Development Life Cycle
― Software Applications and Development
― Software technologies for mobile and WEB-development

Topics of the software engineering lectures in the 2017 year:
― Benefits of Game Development in AGILE Approach using Unity3D
― Principles of designing distributed ASP.NET applications based on MVC (Model View Controller) architectural pattern

Masterclass: Benefits of Game Development in AGILE Approach using Unity3D

Abstract: Masterclass is devoted to peculiarities of game development process using Unity 3D in AGILE approach.

Firstly, peculiarities of requirement analysis are shown. UML diagrams can’t cover all aspects of game scenarios. Tutorial illustrates role and good practices for composing of concept documents and approaches for quickly prototyping games using Unity. Also tricks for raising effectiveness of designing scenes that are based on graphical pipeline rendering, are shown. Game prototyping procedure and concept document allows specifying requirements exactly.

Then, some peculiarities in software designing process should be considered. Unity is designed in component-oriented architectural style. Some architectural solutions, that are better deal with Unity architecture, will be shown in this tutorial.

Thus, in turn, there are some peculiarities in software development, such as scripts interacting, accessing of data and GameObjects. Also successful and quick game development process is based on technologies of existing assets and packages reuse.

Reverse engineering procedures performed to acquaint with third-party project functionality and packages are discussed. Some approaches to define Unity packages and export them from third-party software for adoption to developed project are proposed. Also tutorial touches some peculiarities of software components reuse in cross-platform development.

― Peculiaraties of requirement analysis in game development
― Peculiaraties of game designing
― Peculiaratios of software reuse procedure and software packages creation and distribution in game development

Keywords: Concept Document, Mobile Application, Game Prototyping Approaches, Asset, Asset Store, Component-Oriented Architectural Style, Prototype Desing Pattern, Flyweight Desing Pattern, State Design Pattern, Reverse Engineering; Game camera, Collisions, Events, Unity Asset, Unity Package, 3D project, Game physics, MonoBehavior, Sprite animation.

Lecture: Principles of Designing Distributed ASP.NET Applications Based on MVC (Model-View-Controller) Architectural Pattern

Abstract: Will be avaible soon.

Workshop on Fractal and Multifractal Analysis

Chair: Chair: Lyudmyla Kirichenko, Kharkiv National University of Radioelectronics, Ukraine

Fractal and Multifractal Analysis workshop general topics:
 ― basic notions and properties of self-similar and multifractal stochastic processes and time series
― estimation methods of fractal characteristics and etc.

Lectures consider:
― Multifractal time series analysis: basic principles and practical application
― Recurrence plots: basic principles and practical application Lecture keywords: self-similar and multifractal time series.

Lecture: Multifractal time series analysis: basic principles and practical application

Abstract: Will be avaible soon.

Lecture: Recurrence plots: basic principles and practical application

Abstract: Will be avaible soon.



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