Aybeyan Selimi

International Vision University, Vision International University

Papers

Total Citations

H-Index

About

Aybeyan Selimi is a researcher whose work sits at the intersection of digital transformation, industrial innovation, and computational theory. His primary research areas include Industry 4.0, big data, and computational geometry, where he explores how algorithmic solutions and digital systems reshape modern production and scientific problem-solving. Selimi’s most cited paper, “Systematic Review of Big Data, Digital Transformation Areas and Industry” (2021, 9 citations), offers a comprehensive analysis of the fourth industrial revolution, examining how interconnected robots and data-driven systems are redefining manufacturing and industrial development. This work traces the evolution from earlier industrial revolutions to the current era of smart factories and cyber-physical systems. In his earlier paper, “Computational Geometry Applications” (2018, 3 citations), Selimi bridges mathematics and computer science, addressing algorithmic approaches to geometric problems that link combinatorial theory with Euclidean geometry. Though his citation counts are modest, his contributions provide foundational insights for students and researchers entering the fields of digital transformation and geometric algorithms. Selimi’s work is particularly valuable for those seeking a clear, systematic understanding of how computational methods and big data are driving the next wave of industrial change.