Phone

(+994 12) 539 97 39

Fax

(+994 12) 539 61 21
E-mail depart_11@iit.science.az 
Chief 

Corresponding member of ANAS, Doctor of technical sciences, professor Masuma Huseyn Mammadova

 

Basic activity directions  
  • Artificial intelligence and the socio-information technologies;
  •  Application of the Azerbaijani language in virtual space;
  • Problems of the formation and development of digital medicine.

 

Main scientific achievements 
  • The application and the development of mathematical devices and tools of artificial intelligence for solving the problems of the sociolinguistic technology:
  • Basics of fuzzy relational structured knowledge processing and its applications were worked out;
  • The methods for intelligent decision support of personnel ma-nagement were developed;
  • AZEREKS decision support system in scientific and organizational activity and obtaining copyright certificate of the system was developed.
  • Fuzzy knowledge-based models and synthesis methods were proposed for the intelligent management of technological processes;
  • Intelligent decision support methods were developed for the operational and dispatch management problem solutions in energy systems;
  • Flight data processing was developed for the intelligent control of pilotage techniques; pilotage figures recognition and the evaluation of the execution quality of flight instruction were resolved;
  • Formal Azerbaijani language models and creation of linguistic processor were developed;
  • Determination of optimal structure of automated dictionary in machine-translation system;
  • Conceptual basis of automated Azerbaijani text processing of was developed on the basis of knowledge base and expert systems;
  • The models and methods were developed for the intelligent support of the personnel management decisions in the organi-zation;
  • “Intelligent demographic forecast system” was developed for demographic forecasts solution;
  • The theoretical and methodological basis of intelligent management of supply and demand in the labor market of IT specialists was developed;
  • New informative parameters for medical decisions making based on social media resources  and user opinions were proposed;
  • The concept, architectural and technological principles of  distributed intelligent health management system for employees at high-risk facilities based on IoT technology were developed (for example, offshore oil platforms);
  • A methodological approach to the intelligent management of the labor market in the conditions of Industry 4.0 is proposed and multi-criteria decision-making methods for determine the priority of professional groups and specialties were developed;
  • A conceptual model of an intelligent decision support system for determining the stages of hepatocellular carcinoma is proposed, fuzzy rules for describing knowledge are formed, architectural and technological principles of the system functioning are developed and its implementation was carried out.
  • The concept, models and methods for intelligent management of  bimodal electronic university were developed;
  • The scientific and methodological basis of intelligent management of human resources in the information society was developed.

 

 

 

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