Scientific direction of Doctor of Technical Sciences, Professor V.M. Teslyuk: "Methods and means of computational intelligence for the synthesis of smart systems". The school conducts fundamental and applied research in the field of developing methods of computational intelligence, using computational intelligence in the design, research and modelling of smart systems, and the application of computational intelligence in the development of "smart" cities, "smart" homes, "smart" enterprises and "smart" devices.
Representatives of the scientific school have defended the following dissertations:Ā
- Ostrovka D. V. "Information technology for synthesising three-dimensional user images for mobile augmented reality systems";
- Kazarian A. G. "Methods and means of managing a smart home system using cloud computing";Ā
- Boreiko O. Yu. "Information technology for processing public transport passenger flow parameters";
- Beregovsky V. V. "Mathematical and software support for automated design of smart home systems."
- V. V. Voitishin (2025) "Information technology for evaluating software development projects";
- Beregovska K. V. (2025) "Information technology for managing an adaptive smart home system Ā Ā Ā ". Ā Ā Ā
From the defence of the doctoral dissertation of D.V. Ostrovka: from right to left: candidate D. V. Ostrovka, supervisor Professor V. M. Teslyuk, opponent Associate Professor R. Ya. Shuvar, reviewers ā Professors M. A. Nazarkevich and V. V. Gritsik, chair of the one-time special council Professor I. G. Tsmots
Within the scientific school "Methods and Means of Computational Intelligence for the Synthesis of Smart Systems," two sub-areas are being developed:
1.Ā Ā Ā Research and synthesis of virtual and augmented reality systems ( ) (scientific supervisor ā Dr. of Technical Sciences, Prof. V. M. Teslyuk). Since 2020, the research group (Prof. V. M. Teslyuk, Associate Professors A. V. Doroshenko and K. M. Obelovska, assistants D. V. Ostrovka, A. G. Kazaryan, postgraduate students S. I. Glod and R. Yu. Zagvoisky) has been working on researching the problems and prospects of using augmented and virtual reality technologies.
In particular, the application of AR/VR technologies in education is being studied. Within the framework of this research, the department is implementing the Erasmus+ Jean Monnet Module educational project "Augmented Reality in Education: Introducing European Experience" (101085772 ā AR4EDU). Its goal is to promote the use of augmented and virtual reality technologies in the educational process and to study methods and means for creating proprietary AR/VR solutions.
Classes at the Summer School "Digital Education for Students. Augmented Reality in Education" (2023)Ā
Classes on augmented reality technologies and systems: testing of completed laboratory work
Participants of the Summer School "Digital Education for Students. Augmented Reality in Education" (2023)Ā
Summer School "European Approach to Artificial Intelligence". Workshop led by Olga Narushynska (2024)
Round table "In AI We Trust. Can we trust artificial intelligence?" Speaker: Daria Boiko (2024)Ā
Ā 2.Ā Ā Ā Reliable (responsible) computational intelligence and personal data protection (supervisor ā Candidate of Technical Sciences, Associate Professor A. V. Doroshenko). Since 2018, Associate Professors A. V. Doroshenko, K. M. Obelovska, O. Yu. Fedevych, O. V. Skorokhod, postgraduate students V. V. Petryna and D. Yu. Savchuk have been working on the problem of personal data protection in information and intellectual systems, especially during intellectual data analysis and the application of artificial intelligence methods. Research is being conducted to identify ethical and security risks in AI systems, and methods and means to reduce them are being developed. An educational project Erasmus+ Jean Monnet Module "Personal Data Protection in the EU" was implemented in this scientific field. Two more projects are currently being implemented: Erasmus+ Jean Monnet Chair "Personal Data Protection in the EU" and Module "Trustworthy Artificial Intelligence: A European Approach". Within the framework of these projects, technical approaches are being developed to ensure that AI and systems using computational intelligence comply with European legislation (GDPR, EU AI Act).