Dmytro O. Terletskyi
Biography
2005 − 2009 — Bachelor of Computer Science, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
2009 − 2011 — Master of Software of Automated Systems, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
2011 − 2014 — Ph.D. Studies in Theoretical Computer Science, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
2014 − 2016 — Assistant Professor, Department of Information Systems, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
2016 − 2019 — Assistant Professor, Department of Information Systems, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.
2018 — defended Ph.D. thesis Object-Oriented Dynamic Knowledge Representation Model within Intelligent Software Systems.
2019 − 2021 — Assistant Professor, Department of Intelligent Software Systems, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.
Since 2021 — Senior Research Fellow, Department of Methods and Technological Tools for Constructing of Intelligent Software Systems, V. M. Glushkov Institute of Cybernetics of NAS of Ukraine.
ORCID, Scopus, Web of Science, IEEE Xplore, DBLP, Gogle Scholar
Research interests
Intelligent Software Systems
Knowledge Engineering
Programming
Metaprogramming
Transition Systems
Abstract Algebras
- Algebraic Structures
The main results
The notions of single-core and multi-core inhomogeneous classes of objects are introduced and the relations of equivalence, aggregation, generalization, and specialization for such classes are defined.
The P, SgFSt, SgFW, SgPSt, SgPW, MFSt, MFW, MPSt, MPW inheritance mechanisms and extended and generalized classification of inheritance mechanisms were developed.
The notion of exploiters is introduced and universal exploiters of objects and classes of objects are defined.
The notion of modifiers is introduced and the concepts of complete, partial, generating, destroying, replaceable, and combined modifiers of objects and classes of objects are defined.
The concept of generators is introduced and universal generators of sets and multisets of objects are built.
The model of knowledge representation “Object-Oriented Dynamic Networks” has been developed.
A fuzzy generalization of the knowledge representation model “Object-Oriented Dynamic Networks” has been developed.
ACADEMIC AWARDS AND AWARDS
2017 — National Academy of Sciences of Ukraine, award for young scientists for the series of papers “Object-Oriented Dynamic Networks of Knowledge”.
Dmytro O. Terletskyi, Sergey V. Yershov: Union of Fuzzy Homogeneous Classes of Objects, Lecture Notes in Computational Intelligence and Decision Making, Volume 77 of Lecture Notes on Data Engineering and Communications Technologies, Springer, 2021, pp. 665-684.
Dmytro O. Terletskyi, Sergey V. Yershov: Difference of Fuzzy Homogeneous Classes of Objects, Proceedings of 17th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. (ICTERI), September-October 28-02, 2021, Kherson, Ukraine, Volume I, pp. 24-39.
Dmytro O. Terletskyi: Run-time Class Generation: Algorithm for Difference of Homogeneous and Inhomogeneous Classes, Information and Software Technologies, Volume 1486 of Communications in Computer and Information Science, Springer, 2021, pp. 224-240.
Dmytro O. Terletskyi: Run-time Class Generation: Algorithm for Decomposition of Homogeneous Classes, Information and Software Technologies, Volume 1283 of Communications in Computer and Information Science, Springer, 2020, pp. 243-254.
Dmytro O. Terletskyi, Oleksandr I. Provotar: Intersection of Fuzzy Homogeneous Classes of Objects, Advances in Intelligent Systems and Computing V, Volume 1293 of Advances in Intelligent Systems and Computing, Springer, 2020, pp. 306-323.
Dmytro O. Terletskyi, Oleksandr I. Provotar: Algorithm for Intersection of Fuzzy Homogeneous Classes of Objects, Proceedings of IEEE 2020 15th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), September 23-26, 2020, Zbarazh, Ukraine, Volume 2, pp. 314-317.
Dmytro O. Terletskyi: Run-Time Class Generation: Algorithms for Union of Homogeneous and Inhomogeneous Classes, Information and Software Technologies, Volume 1078 of Communications in Computer and Information Science, Springer, 2019, pp. 148-160.
Dmytro O. Terletskyi: Run-time Class Generation: Algorithms for Intersection of Homogeneous and Inhomogeneous Classes, Proceedings of IEEE 2019 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), September 17-20, 2019, Lviv, Ukraine, Volume 3, pp. 272-277.
Dmytro O. Terletskyi: Object-Oriented Knowledge Representation and Data Storage Using Inhomogeneous Classes, Information and Software Technologies, Volume 756 of Communications in Computer and Information Science, Springer, 2017, pp. 48-61.
Dmitry A. Terletskyi, Aleksandr I. Provotar: Fuzzy Object-Oriented Dynamic Networks. II, Cybernetics and Systems Analysis, 2016, Volume 52, Number 1, pp. 38-45.
Dmitry A. Terletskyi, Aleksandr I. Provotar: Fuzzy Object-Oriented Dynamic Networks. I, Cybernetics and Systems Analysis, 2015, Vol. 51, Is. 1, pp. 34-40.
Dmytro O. Terletskyi: Inheritance in Object-Oriented Knowledge Representation, Information and Software Technologies, Volume 538 of Communications in Computer and Information Science, Springer, 2015, pp. 293-305.