About

SELÇUK TOPAL received the M.Sc. and Ph.D. degrees in mathematics (Foundations of Mathematics and Mathematical Logic) from Ege
University, Turkey. He was a Visiting Scholar in Indiana (USA) and Calabria (Italy) Universities.

He is currently an Associate Professor of mathematics in

Gebze Technical University in Türkiye.

My general area of interest is applied logic: the study of mathematical and
conceptual tools for use in computer science, linguistics, artificial intelligence, and other areas.

In general, he is interested in exploring logics and formal semantics in fragments of natural languages and algebraic structures, proof search algorithms, and implementations of
the logics. These explorations allow us to discover new algebraic structures, graph algorithms and new calculations. Studying topological, algebraic and
geometric applications of neutrosophic sets, rough sets, and fuzzy sets.

He also like to research in mathematical investigations in quantum mechanics, aata analysis, computational
models and decision making algorithms of uncertain data, applications of the analysis in medicine. Recently, he is interested in blockchain techs, linear logic, data science, and logical methods in deep learning.

Selected Scientific Articles

Moss, L., & Topal, S. (2020). Syllogistic Logic with Cardinality Comparisons, on Infinite Sets. The Review of Symbolic Logic, Cambridge Univeristy Press, 13(1), 1-22. doi:10.1017/S1755020318000126

Topal, S., Cevik, A., & Smarandache, F. (2020). A new group decision making method with distributed indeterminacy form under neutrosophic environment: an introduction to neutrosophic social choice theory. IEEE Access, 8, 42000-42009.

Topal, S. (2018). Equivalential Structures for Binary and Ternary Syllogistics. Journal of Logic, Language and Information, Springer, 27, 79-93.

Sezer, B. B., Topal, S., & Nuriyev, U. (2022). TPPSUPPLY: A traceable and privacy-preserving blockchain system architecture for the supply chain. Journal of Information Security and Applications, Elsevier, 66, 103116.

Sezer, B. B., Topal, S., & Nuriyev, U. (2022). TPPSUPPLY: A traceable and privacy-preserving blockchain system architecture for the supply chain. Journal of Information Security and Applications, Elsevier, 66, 103116.

Topal, S., & Cevik, A. (2020). Natural Density and the Quantifier “Most”. Journal of Logic, Language and Information, 29(4), 511-523.

Parimala, M., Broumi, S., Prakash, K., & Topal, S. (2021). Bellman–ford algorithm for solving shortest path problem of a network under picture fuzzy environment. Complex & Intelligent Systems, 7, 2373-2381.