Müəssisə məlumatları: Rəqəmsal İqtisadiyyat Fakültəsi, Rəqəmsal Texnologiyalar Və Tətbiqi İnformatika Kafedrası, İnformasiya Texnologiyaları Və Kommunikasiya Sistemləri Mühəndisliyi İxtisası
WoS Tədqiqat Sahələri: Computer Science Theory & Methods, Computer Science Hardware & Architecture, Quantum Science & Technology, Logic, Engineering Computing & Technology (Eng), Computer Science, Computer Science Artificial Intelligence, Computer Science Software Engineering, Computer Science Interdisciplinary Applications, Computer Science Information Systems, Computer Science Cybernetics, Mathematics, Mathematics Applied, Physics Mathematical, Art
Scopus Tədqiqat Sahələri: Theoretical Computer Science, Hardware and Architecture, General Computer Science, Artificial Intelligence, Software, Computer Graphics and Computer-Aided Design, Information Systems, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Mathematical Physics, Museology
AVESİS Tədqiqat Sahələri: Art, algorithms, Information Security and Reliability, Computer Vision, Theoretical Computer Science, Formal Languages, Database and Data Structures, Artificial Intelligence, Computer Learning and Pattern Recognition, Software, Automatic Programming, Programming Languages, Software Engineering, Software, Numerical modeling, HIL testing sub, Object-oriented programming
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Fidan Naghiyeva is a dedicated IT lecturer at the Azerbaijan State University of Economics (UNEC) with a strong academic background and a deep passion for artificial intelligence and computer science. She holds a master’s degree in Computer Science and has built her career at the intersection of education, technology, and innovation.

Throughout her academic and professional journey, Fidan has focused on helping students and young professionals understand the foundations of computer science and modern technologies such as artificial intelligence, machine learning, and data analytics. Her teaching approach blends technical precision with an emphasis on curiosity, problem-solving, and creative thinking — preparing the next generation of tech professionals for real-world challenges.

Beyond her teaching career, Fidan is continuously expanding her expertise in AI research and development. Her long-term goal is to become a professor in the field of Artificial Intelligence, contributing to the academic community through innovative research, publications, and mentoring.

Fidan’s work reflects her belief that education and technology together can shape a smarter and more connected future.