Education: 

In 2007, she graduated from the Azerbaijan State Oil Academy with a bachelor degree in "Applied Mathematics" and in 2009 master degree in “Mathematical modelling”.
In 2014, she defended PhD dissertation on the specialty “System analysis, information processing and control” and got PhD degree in Engineering.

Research area: 

Artificial Intelligence, Distributed Machine Learning, Predictive Modelling and Decision-making systems, Data-based analysis 

Subjects taught:

Artificial Intelligence, Basics of HPC, Probability theory and mathematical statistics

The year of defended of phd, specialty code, name of specialty, title of the topic:

2014, 3338-01, "System analysis, control and information processing", "Study of one class of smooth membership functions for fuzzy sets and their application in recognition systems".

Work experience:

She is an associate professor at the Department of General and Applied Mathematics.

In 2010, she started her career as an assistant at the Department of Applied Mathematics in Azerbaijan State Oil Academy.
During 2012 - 2017, was the head of the sector at the Institute of Information Technology Azerbaijan National Academy of Sciences.

Since 2017, she has been an Associate Professor at the Department of General and Applied Mathematics.

Other activities:

She is a managing editor of Azerbaijan Journal of High Performance Computing.

Awards, grants, patents:

Participant in the grant project “Development of an Intelligent Azerbaijani Speech and Text Recognition and Understanding System for Human-Computer Object-Oriented Dialogue” — EIF-2010-1(1)-40(12).

Participant in the grant project “Development of New Methods and Algorithms for the Synthesis of E-Science and Its Functional Subsystems” — EIF-2014-9(24)-KETPL-14/02/1-M-09. 

Participant in the ERASMUS+ grant project “MAGnUS: Master’s Program in Mobile Applications Development and Game Design” — 598342-EPP-1-2018-1-SE-EPPKA2-CBHE-SP/MAGnUS.

Participant in the Horizon 2020 project “ELECTRON: rEsilient and seLf-healed EleCTRical pOwer Nanogrid”, focused on enhancing the resilience of energy systems.

Selected works:

1. Aliev, A.R.,Ismayilova, N.T.,Ismayilov, E.A., Use of Machine Learning Methods for Analysis of Factors Affecting ICT Contribution to Different Countries Development,  Lecture Notes in Networks and SystemsOpen source preview, 2025, 1142 LNNS, pp. 253–259
2. Azizov R., N. Ismayilova, “AI-driven Data Analysis for Sustainable Development”, Journal of Sustainability Perspectives, 2025, 5(2), pp. 171 – 182.
3. S. Aliyev and N. Ismayilova, "FL2: Fuzzy Logic for Device Selection in Federated Learning," 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT), Baku, Azerbaijan, 2023, pp. 1-6, doi: 10.1109/AICT59525.2023.10313160.
4. Ismayilova, N. (2023). Determination of the Dynamic and Interactive Event in Exascale Computing Systems via Request Clustering. In: 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_39
5. Aliev, A. R., Hamzaev, K., Ismayilova, N., Jahangirbayov, E., Jafarov, F., & Mammadov, R. (2019). Parallel numerical method of an inverse problem of double-phased filtration. Azerbaijan Journal of High Performance Computing, 2(1), 75-81.
6. Ismayilova, N., & Ismayilov, E. (2018). Convergence of hpc and ai: two directions of connection. Azerbaijan Journal of High Performance Computing, 1(2), 179-184. 
7. Alguliyev, R., Jafarov, J., Mammadov, E., Ismayilova, N., & Mammadova, R. (2015). Extraction of social networks in modern digital library environment. Economics & Sociology, 8(1), 308.
8. Aida-zade, K. R., & Alieva, N. T. (2012). On a class of smooth membership functions. Journal of Automation and Information Sciences, 44(3).
9. Aida-Zade, K. R., & Alieva, N. T. (2011). Study of one class of membership functions of fuzzy sets. Automatic Control and Computer Sciences, 45, 142-152.

Textbook:

Artificial Intelligence: Machine Learning Methods. Azerbaijan State Oil and Industry University (ASOIU/ADNSU), 2023, 118 pages (in Azerbaijani).
Link: View Book