Keynote Speakers

Prof. Ivan Zelinka
Department of Computer Science
Faculty of Electrical Engineering and Computer Science VŠB-TUO
17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic

Title: Evolutionary Algorithms and its Use
    In Modelling and Simulations of the Complex Systems

Date: SEP 14, 11:15 (CET)

This talk is focused on recent progress in modelling and simulation with control of the complex systems employing unconventional algorithms and approaches. Based on our research and research of various scientists worldwide it has been shown and experimentally demonstrated on many modern algorithms can be used in wide spectra of practical applications as well as the solution of hard theoretical research problems of modelling and simulation.
The lecture will be focused on selected unconventional algorithms (evolutions, swarm intelligence,…), its basic principles, and its classification. After the introduction of basic principles, some physical limits of computing and algorithms will be discussed. In the second part will be described selected applications like plasma reactor control, chaos synthesis and modelling, simulation of the chaos control and identification, the simulation and control of the swarm robots, structure synthesis, for example, electronic circuits, classifiers od astrophysical data, as well as the Darwinian evolution of computer viruses and swarm malware, amongst the others.

Intended audience (include level of expertise) The lecture is designed as a problem overview - introduction; no advanced or expert knowledge is expected. Its structure, results, and content are based on our previous research, journal publications, keynotes, and tutorials and reflect the latest progress in that research field.

Short Bio:
Ivan Zelinka, (born in 1965, is currently associated with the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at the Technical University in Brno (1995 - MSc.), UTB in Zlin (2001 - Ph.D.) and again at Technical University in Brno (2004 - Assoc. Prof.) and VSB-TU (2010 - Professor).
Prof. Zelinka is responsible supervisor of several grant types of research of Czech grant agency GAČR as Unconventional Control of Complex Systems, Security of Mobile Devices and Communication ( a bilateral project between Czech and Vietnam) and co-supervisor of grant FRVŠ - Laboratory of parallel computing amongst the others. He was also working on numerous grants and two EU projects as a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team. He is also head of research team NAVY
Prof. Zelinka was awarded by Siemens Award for his Ph.D. thesis, as well as by journal Software news for his book about artificial intelligence. He is a member of the British Computer Society, Machine Intelligence Research Labs (MIR Labs -, IEEE ( a committee of Czech section of Computational Intelligence), a few international program committees of various conferences, and three international journals. He is also the founder and editor-in-chief of a new book series entitled Emergence, Complexity, and Computation (Springer series 10624, see also

Prof. Gregory Zacharewicz
IMT – Mines Ales (National Institute of Mines and Telecommunications)
Alès, France

Title: Modeling & Simulation Based Framework for Interoperability Driven Enterprise Design

Date: SEP 15, 10:30 (CET)

Enterprise businesses are more than ever challenged by competitors that frequently refine and tailor their offers to clients. However, in this context, enterprise information systems (EIS) EISs reaches a limit in collaborative environments because enterprises management methods diverge and EISs are mainly inflexible resource packages that are not built with an interoperability objective. Consequently, we need to make EISs interoperable in order to achieve the needed gains competitiveness and performance.
This keynote can be summarized as follows: (1) it will try to relate existing work and it examines barriers that, at the moment, are preventing further improvements due to current methodological and technological limits, and (2) it will propose a conceptual framework and five challenges that model based approaches must overcome to achieve interoperability between EIS in the near and long term. (3) It will draw out how the use of simulation, distributed simulation and co-simulation can support the model based approaches in the journey from concepts to technical deployment. In detail, it will focus on how Business Process Model and Notation (BPMN) standard could be an interesting solution for defining HLA execution scenario within a Model Driven Architecture approach. Specifically, how to support the modeling phase of the HLA execution process in order to explicitly design the desired steps of orchestration between distributed HLA federates through the interpretation of a business process diagram.

Short Bio:
Gregory Zacharewicz, is Full Professor at IMT – Mines Ales (National Institute of Mines and Telecommunications) in Alès, France. He recently joined in 2018 the LGI2P lab to develop simulation driven research works. This lab works on the relationship between humans and the complex systems while keeping their roots in the field of Information Science and Technology. He was previously Associate Professor at the University of Bordeaux (2007-2018) where he focused his research for more than 10 years on Enterprise and Social Organization Modelling, Interoperability and Simulation. More generally, his research interests include Discrete Event Modelling (e.g. DEVS, G-DEVS), Distributed Simulation, Distributed Synchronization Algorithms, HLA, FEDEP, MDA, Short lived Ontologies, ERP, BPMN, and Workflow. He recently co-wrote with a worldwide team of authors the prospective chapter “Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges”. In the domain of Healthcare methodologies and technologies, he co-wrote in 2018 with Bernard P. Zeigler, Mamadou K. Traore and Raphaël Duboz the book “Value-based Learning Healthcare Systems: Integrative modeling and simulation”. He has been the program chair of Springsim 2016 in Pasadena, vice-general chair of SpringSim 2017 in Virginia Beach and the general chair of SpringSim 2018 in Baltimore. He is member of editorial board of Sage Simulation Journal, JSimE and SNE journals

Prof. Nikolay V. Kuznetsov
Saint-Petersburg State University, Russia & University of Jyväskylä

Title: Stability and hidden attractors in the simulation and theoretical study of dynamical models

Date: SEP 16, 10:30 (CET)

Understanding and predicting the behavior of complex dynamical models is an actual problem in various engineering applications where simulations of such models are applied. One of the important tasks in the investigation of dynamical models is the revealing all possible limiting regimes, i.e. the problem of localization and analysis of existing attractors. While trivial attractors (stationary states) can be easily found analytically or numerically, the search of periodic and chaotic attractors may turn out to be a challenging problem. Self-excited attractors can be discovered when observing the dynamics of model's state with initial data from the vicinity of the stationary states, while hidden attractors have the basins of attraction, which are not connected with stationary states and are "hidden somewhere" in the phase space of the model. Thus, the search of hidden attractors in the phase space may be a challenging task. For the engineering dynamical models the importance of identifying hidden attractors is related with the classical problems of determining the boundaries of stability in the space of parameters and in the phase space. In practice, the transition of the state of the system to a hidden attractor, caused by external disturbances, results in undesirable modes of operation and is often the cause of accidents and catastrophes. This lecture is devoted to engineering and theoretical and problems in which hidden attractors (their absence or presence and disposition) play an important role.

Short Bio:
Nikolay Vladimirovich Kuznetsov, is a Russian scientist, specialist in nonlinear dynamics and control theory. He graduated from the St. Petersburg University in 2001. In 2004 he received Candidate of Science degree and in 2008 defended his Ph.D. degree at the University of Jyväskylä, Finland. Now he is Professor and Head of the Department of Applied Cybernetics in St. Petersburg University and the research group chaired by Prof. Kuznetsov was awarded the status of the Leading Scientific School (Center of Excellence) of Russia in the field of mathematics and mechanics in 2018 and 2020. He is also visiting professor at the University of Jyväskylä and co-chair of the Finnish-Russian Educational & Research program organized by the University of Jyväskylä. Prof. Kuznetsov's research interests are in dynamical systems and applied mathematics. In his works, a combination of rigorous analytical and reliable numerical methods allowed for both the advancement in solving previously known fundamental unsolved problems as well as the development of modern engineering technologies. Among his main results are the development of the theory of hidden oscillations and the concept of self-excited and hidden attractors, the discovery of a hidden Chua attractor in Chua circuits, revealing of coexisting hidden attractors in electomechanical models with Sommerfeld effect or a solution of the Gardner problem on the lock-in range for phase-locked loops. More details are available at