• Artificial Intelligence
• Machine Learning
• Data Mining

• Post-Doc., Georgia Institute of Technology, USA
• PhD, Institute of Cybernetics, Mathematical Cybernetics
• MS, Baku State University, Optimization and Optimal Control
• BS, Baku State University, Applied Mathematics 

1. Rustamov S., Akhundova N., Valizada A. (2019) Automatic Speech Recognition in Taxi Call Service Systems. In: Miraz M., Excell P., Ware A., Soomro S., Ali M. (eds) Emerging Technologies in Computing. iCETiC 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 285. pp. 243-253. Springer, Cham.

Link: https://link.springer.com/book/10.1007%2F978-3-030-23943-5#page=251

2. Sevda Mammadli, Shamsaddin Huseynov, Huseyn Alkaramov, Ulviyya Jafarli, Umid Suleymanov and Samir Rustamov. Sentiment Polarity Detection in Azerbaijani Social Nes Articles. RANLP 2019.Recent Advances in Natural Language Processing. 2019. Varna, Bulgaria.

Link: http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf

3. Rustamov, E.Gasimov, R.Hasanov, S.Jahangirli, E.Mustafayev, D.Usikov. Speech Recognition in Flight Simulator. Aegean International Textile and Advanced Engineering Conference, IOP Conference Series: Materials Science and Engineering, Volume 459 (2018), Mytilene, Greece.

Link: http://iopscience.iop.org/article/10.1088/1757-899X/459/1/012005/pdf

4. Samir Rustamov, Akif Musayev, Shahzada Madatova. Evaluation of the Impact of State’s Administrative Efforts on Tax Potential by Sugeno-type Fuzzy Inference Method. Advances in Intelligent Systems and Computing book series, Springer, volume 896, pp 352-360,2018

Link: https://link.springer.com/chapter/10.1007/978-3-030-04164-9_47

5. Kamil A., Rustamov S., Clements M.A., Mustafayev E. Adaptive Neuro-Fuzzy Inference System for Classification of Texts. Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, Springer, vol 361. 2018. pp 63-70.

Link: https://link.springer.com/chapter/10.1007/978-3-319-75408-6_6#citeas

6. Samir Rustamov, Elshan Mustafayev, Mark A. Clements. Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem. Open Engineering. 2018. Volume 8, issue 1, pp 61-68.

Link.https://www.degruyter.com/view/j/eng.2018.8.issue-1/eng-2018-0008/eng-2018-0008.xml

7. Samir Rustamov. A Hybrid System for Subjectivity Analysis. Advances in Fuzzy Systems. Volume 2018.

Link: https://www.hindawi.com/journals/afs/2018/2371621/

8. Aida-zade Kamil, Samir Rustamov. Learning User Intentions in Natural Language Call Routing Systems. Recent Developments and New Direction in Soft-Computing Foundations and Applications. Springer 2016, pp.37-46.

Link: https://link.springer.com/chapter/10.1007%2F978-3-319-32229-2_4#citeas

9. Musayev, Sh. Madatova, S.Rustamov. Evaluation of the impact of the tax legislation reforms on the tax potential by fuzzy inference method. Procedia Computer Science. Elsevier. Volume 102, 2016, Pages 507–514.

Link: https://www.sciencedirect.com/science/article/pii/S1877050916326151?via%3Dihub

10. Rustamov S.S., M. A. Clements. Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Model. Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis in NAACL-HLT2013, pages 108–114, Atlanta, USA, 2013.

Link: https://www.aclweb.org/anthology/W13-1615/

11. Rustamov S.S., Mustafayev E.E., M. A. Clements. Sentiment Analysis using Neuro-Fuzzy and Hidden Markov Models of Text. IEEE Southeastcon 2013, Jacksonvilla, Florida,USA.

Link: https://ieeexplore.ieee.org/document/6567382