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Recent State-funded Projects

  • Development and support of Armenian research and educational computer network 
  • Investigation of closed accessible set systems and their applications (Thematic grant), 2013-2015
  • Investigations of logical systems and their applications to automated translation algorithms and electronic circuits testing (Thematic grant), 2013-2015
  • New algorithms for processing bio-metric dates and their applications insecurity system (Thematic grant), 2013-2015
  • Investigation of adjusted mathematical-statistical models for certain objects by information theory methods, and their applications (Thematic grant), 2013-2015
  • Creation of optimal structures of information exchange of multiprocessor systems based on analytical research (Thematic grant), 2013-2015
  • Investigations of testing algorithms’ logical and algebraic representations for algorithmic systems and memory schemas (Thematic grant), 2011-2013
  • Approximation algorithmic research on novel, open and hard combinatorial optimization problems (Thematic grant), 2011-2013
  • Informational theoretical analyses of identification and validation for biometrical applications (Thematic grant), 2011-2013
  Bi-lateral Projects

Armenian-German

  • Mathematical Enhancement of Green Autonomous Networking, 2013-2015

Armenian-Russian

  • Development of models of partial precedent for classification and regression problems, 2013-2015
  • The study of publication activity and scientific relations of scientists of Armenia and Russia on the basis of citation databases, 2014-2015
 
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
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