Prof. Stepan Bilan discusses his research with IGI Global

Cellular Automata: Today's Solutions for Tomorrow's Problems with Prof. Stepan Bilan

By IGI Global on Jul 10, 2018
Prof. Stepan Bilan Cellular automata is the tool to problems within the information technology and artificial intelligence field, according to Professor Stepan Bilan from State Economy and Technology University of Transport, Ukraine, and author of the reference publication, Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities.

In an interview with IGI Global, Stepan Bilan shared his enthusiasm, as well as emerging trends in his field of research.

What inspired you to pursue research activities in your research area?

I have been doing research in this field for a long time. I think that cellular automata can solve any applied problem. For instance, many problems are currently being solved in the field of information technology and artificial intelligence with the help of cellular automata. As parallel structures that improve the performance of computer systems, they can describe any dynamic process. Also, cellular automata are flexible structures that allow them to be effectively used in artificial intelligence systems.

Why are your respective areas of research important to the field at large?

Cellular automata that use two local transition functions are proposed and studied: one for the formation of the state of the cell and the other for the selection of the next active cell. Such cellular automata allow us to model many dynamic processes that are difficult to describe with the help of classical cellular automata. Research can improve the quality of existing information security systems. The reason for this is that randomness is the determining factor of all encryption systems. The obtained results allow to form bit sequences with a very long repetition period.

The results obtained are important in general for the construction of vision systems that model the human retina. Cellular automata in their structure are close to the structure of the retina, which is represented in a number of scholarly research. The proposed structures of cellular automata are successfully used to construct the human visual channel.

These results complement the modern theory of cellular automata and the theory of formation of pseudo-random numbers.

In your opinion, what are some of the benefits of your research to its community of users?

Based on the presented material, the possibilities of creating models of objects whose behavior is very difficult to predict are considered. Using the results obtained will enable users to encrypt data of a large length. With the help of the presented research, the developer can choose the optimal structure of the pseudo-random number generator and the best initial settings. In addition, the developer can choose a pseudo-random number generator with the required speed.

What are the future directions of your research areas?

The study of the characteristics of cellular automata in the future will make it possible to construct models of vital processes. I am sure that this approach will allow people to fight diseases on the basis of constructed models, and it is possible to create better objects in advance and also to find the best option among the many variants of the proposed solutions to various problems.

So, that is an area I will be focusing on. I also plan on conducting research aimed at creating an artificial model of the human visual channel. For this, I will use cellular automata.

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What are some other evolving research trends you have observed in your industry/field over the past several months and what would you say are some of the innovative research directions you foresee in the future? How do you feel your publication sets the pace for these innovations?

Cellular automata are widely used in almost all areas of information processing. Many experts argue that cellular automata are promising for future information security systems. Therefore, the described studies contribute to high rates of qualitative development of such systems.

Today, there are many tasks that are aimed at studying the dynamic changes in physical processes and the behavior of biological objects. These problems do not give a known result. The solution to such problems is based on the construction of the object model. A successful structural and functional implementation of the object model can give a positive result in time. This approach uses the task of constructing artificial biological objects.

What has your experience been like publishing with IGI Global?

I would like to take this opportunity to thank the employees of IGI Global, with whom I had to cooperate. While working on the book, I felt great support and respect. I look forward to further successful cooperation. IGI Global executes marketing of books worldwide, which allows the author to share his research with researchers around the world.
IGI Global is grateful for the opportunity to work with Prof. Stepan Bilan and we look forward to seeing more collaboration that will result in the publication of invaluable content like his book, Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities. We would like to thank Prof. Bilan for helping IGI Global cultivate and disseminate emerging concepts and theories in computer and information technology.
For more information, please be sure to check out Prof. Bilan's book and the following related publications, and recommend them to your library.

Disclaimer: The opinions expressed in this article are the author’s own and do not reflect the views of IGI Global.
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