Current

I am currently focusing on the following topics:

Authorship attribution

involves identifying the author of a text through stylistic analysis and linguistic features, employing artificial intelligence techniques to uncover unique patterns. The aim is to leverage mathematical instruments for improved author identification.

Text Classification

is the process of categorizing texts into predefined groups based on their features by employing ML algorithms and NLP techniques. This part of research aims to enhance classification accuracy through the application of mathematical models.

Plagiarism Detection

involves identifying instances of copied or closely paraphrased content within texts. This endeavor is in the initial phases and the intention is to develop a visual representation that highlights variations in writing styles across different sections.

Since the summer of 2024, I have been leading a student research group, with potential plans for expansion.

Students with strong mathematical skills are encouraged to collaborate on these research projects. Your expertise can enhance the progress in these areas.