See All News
Knarik Kyuregyan
Position: Junior Scientific Researcher

Phone: (+374 60) 623541, (+374 93) 512920
E-mail: knarikyuregyan@gmail.com




  Education

Ph.D.   Yerevan State University, Faculty of Mathematics and Mechanics
M.Sc.   Yerevan State University, Faculty of
Mathematics and Mechanics
 
  Professional Experience

Junior researcher   IIAP NAS RA (2011 – at present)
 
  Research Interests

Finite Field, Cryptography, Coding Theory

 
  Selected Publications

Kyuregyan K., “One Method For Constructing Irreducible Polynomials over  F_q of Odd Characteristics”. In Proceedings of CSIT-2013 Ninth International Conference on Computer Science and Information Technologies, Yerevan, Armenia, pages 113-115.

Khachatrian G. H., Kyureghyan M. K., Kyuregyan K. M., “Design and Cryptanalysis of a New Encryption Algorithm SAFER-256”, Transactions of IIAP NAS RA, Mathematical Problems of Computer Science Vol. 42, pp. 97-106, 2014.

Abrahamyan S., Kyuregyan K., “An Algorithm for Factoring Composite Polynomial P(x^p-x-δ)”, In Proceedings of ITA 2014 XVII International Conference on Information Theories and Applications International journal, Bulgaria, Varna,  Vol. 21 No. 4, pp. 371-376, 2014.

Kyuregyan K., “Some modifications of SAFER+”, in Reports of NAS RA, v. 115, No 1, pp. 33-39, Yerevan, Armenia, 2015.

Abrahamyan S., Kyuregyan K., “Construction of Some Composition Permutations via Linear Translators”, In Proceedings of ITA 2015 XVIII International Conference on Information Theories and Applications International journal, Bulgaria, Varna,  Vol. 22, No. 3, pp. 291-299, 2015.

 
News
The professional qualifying examinations on the specialties E.13.04
(The program) and E.13.05 (The program) will be held on November 27, 2025 at 11:00 in the Institute for Informatics and Automation Problems.




On November 28, 2025 at 13:00 the general seminar of IIAP will be held (the seminar's room, IV floor).

On the agenda
 there is the report of Edvard Khalafyan on "From Entropy to LLM Tokens: Information-Theoretic Foundations of Modern Machine Learning" (An overview of how information-theoretic ideas shape modern machine learning, from principles of entropy and uncertainty to practical methods for learning structure and making predictions.).




                                                           
CONTACTS
  • 0014, Yerevan, Republic of Armenia, 1, P. Sevak str.
  • Phone: (+37410) 28-20-50
  • E-mail: iiap@sci.am
ABOUT INSTITUTE
SCIENTIFIC ACTIVITY
EDUCATION