Mansour Ali Mahmoud

Степень: Кандидат технических наук

Academy for Engineering and Technologies

Institute of Computer Technologies and Information Security - Senior lecturer

Таганрог, Энгельса, 1, office № г-438

E-mail:

View email

Personal page:

https://sfedu.ru/s7/person/ru/mansur

Personal page in english:

https://sfedu.ru/s7/person/en/mansur

Ali Mahmoud Mansour – Senior Lecturer at the Department of Computer-Aided Design Systems named after V.M. Kureychik, Institute of Computer Technologies and Information Security (ICTIS), Southern Federal University.

Holds a PhD (Candidate of Sciences) in Technical Sciences, specialisation 1.2.1 "Artificial Intelligence and Machine Learning" (2025). Holds a Master's degree from Don State Technical University in "Information Systems and Technologies".

Since 2025, he has been working at Southern Federal University, combining teaching and research activities. He teaches the following courses: "Natural Language Processing," "Modern Methods of Developing AI Solutions" (including in English), "Generative Artificial Intelligence and Machine Learning," and "Algorithmization and Programming." He is the author of over 25 scientific publications, of which 8 are in journals included in the Higher Attestation Commission (VAK) list, and 6 are in journals indexed by Scopus and Web of Science. He holds 2 certificates of state registration of computer programs.

Research Interests

Natural Language Processing (NLP); key phrase extraction and semantic representation of text; automatic ontology construction; knowledge management, representation, and transfer; intelligent agents; generative artificial intelligence; local large language models and their application in organizational processes; optimization algorithms (genetic, neural network) for classification and control tasks.

Key Scientific Publications

1. Mansour, A. Automated Ontology Extraction from Text for Content-Based Web Personalization / A. Mansour, J. Mohammad, Y. Kravchenko // Lecture Notes in Computer Science. – LNCS. – Vol. 16328. – 2026. – P. 139-151. (Scopus, Q2)
2. Mansour, A.M., Ahmad, Z. (2026). Machine Learning-Driven Hybrid Optimization Algorithm for PID Domain Constraints Identification in Servo Control Systems: Balancing Efficiency and Safety Through Neural Network Classifier. Lecture Notes in Computer Science, vol 16328. Springer, Cham. (Scopus, Q2)
3. Mansour, A. Harnessing Key Phrases in Constructing a Concept-Based Semantic Representation of Text Using Clustering Techniques / A. Mansour, J. Mohammad, Y. Kravchenko, D. Kravchenko, N. Silega // Lecture Notes in Computer Science. – LNCS. – Vol. 14335. – 2023. – P. 190-201. (Scopus, Q2)
4. Mansour, A. Algorithm for Optimization of Keyword Extraction Based on the Application of a Linguistic Parser / A. Mansour, J. Mohammad, D. Kravchenko, Y. Kravchenko, N. Pavlov // Informatics and Automation. – Vol. 23. – 2024. – no. 2. – P. 467-494. (Scopus, Q4, RSCI)
5. Mansour, A. Text vectorization method based on concept mining using clustering techniques / A. Mansour, J. Mohammad, Y. Kravchenko // VI International Conference on Information Technologies in Engineering Education, Inforino. – IEEE. – 2022. – P. 1-10.
6. Mansour, A. Generating Conceptual Semantic Vectors Based on Key Phrase Extraction Techniques / A. Mansour, J. Mohammad, Y. Kravchenko // 2023 International Russian Automation Conference (RusAutoCon). – IEEE. – 2023. – P. 374-379.
7. Mansur, A.M. An ontological approach to knowledge formalization in the design of very-large-scale integrated circuits / A.M. Mansur, V.V. Kureychik, V.I. Danilchenko, V.V. Bova // Ontology of Designing. – 2026. – Vol. 16. – No. 2 (60). – P. 283–299.