Alexandra Khalyasmaa

Head of the laboratory

Alexandra Khalyasmaa
Position
Head of the laboratory
Degree / title
PhD, Associate Professor
Contacts
Email:a.i.khaliasmaa@urfu.ru
Professional profile

Biography

Progress

Joining the TOP of the best in 2024

Joining the TOP of the best (among employees under 39) in 2024

Positions in the ratings in 2024

Positions in ratings (among employees under 39) in 2024

Joining the TOP of the best in 2023

Joining the TOP of the best (among employees under 39) in 2023

Positions in the ratings in 2023

Positions in ratings (among employees under 39) in 2023

Specialization

2009 - Master's degree from UrFU in the field of "Electric Power Engineering" 2015 - Candidate of Technical Sciences in the specialty "Electric Power Plants and Electric Power Systems" 2018 - Master's degree from UrFU on the Management Board

Educational programs

Electric power and electrical engineering

Intelligent urban energy systems

Subjects taught

Diagnostics of electrical equipment

Machine learning in the electric power industry

Scientific research seminar

Information about professional development

  1. Professional retraining in Economics and Enterprise Management, Ural State Technical University - UPI (564 hours)

  2. Advanced training "Assessment of technical condition and reliable operation of 10-750 kV power transformers.Possibilities of an expert diagnostic and information system for collecting and analyzing information about the operation of electrical equipment", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)

  3. Advanced Training in First Aid, Ural Federal University named after the First President of Russia B.N. Yeltsin" (24 hours)

  4. Advanced training in "University Academic Environment Management", National Research University Higher School of Economics (100 hours)

  5. Advanced training in "Intellectual Property Management", Ural Federal University named after the First President of Russia B.N. Yeltsin (26 hours)

  6. Advanced training in "Modern Approaches to formation of the competence profile of a specialist of a new formation (by industry)", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)

  7. Advanced training "Analysis and interpretation of big Data", St. Petersburg State University (432 hours)

  8. Advanced training "Digital corporate resources in teaching activities", Novosibirsk State Technical University (72 hours)

  9. Advanced training "Case intensive", National Research Tomsk Polytechnic University (18 hours)

  10. Advanced training in Digital Literacy, Novosibirsk State Technical University (72 hours)

  11. Advanced training "Organizational and pedagogical support of university students' project activities", Ural Federal University named after the First President of Russia B.N. Yeltsin (66 hours)

  12. Advanced training "Ideology and organization of project education in higher Education", Ural Federal University named after the First President of Russia B.N. Yeltsin. Yeltsin" (24 hours)

  13. Advanced training "Design, promotion and implementation of competitive educational products of the Master's degree", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)

  14. Advanced training "Professional and pedagogical assistance in the activities of university teachers", Novosibirsk State Technical University (36 hours)

  15. Advanced training "Strategies for the implementation of scientific and technical projects of the University in the context of digital transformation", Ural Federal University named after the First President of Russia B.N. Yeltsin (24 hours)

  16. Advanced training "Organization of expeditionary activities", Sevastopol State University (16 hours)

  17. Advanced training in "Planning and processing of research results", Sevastopol State University (16 hours)

  18. Advanced training "Updating strategic projects and policies of the university development program for the scientific and technological development of the region", Ural Federal University named after the First President of Russia B.N. Yeltsin (24 hours)

  19. Advanced training "Organization of scientific activities in the Master's degree program", Sevastopol State University (16 hours)

  20. Advanced training in First Aid to Victims, Novosibirsk State Technical University (16 hours)

  21. Advanced training "Updating the university development program within the framework of the technological leadership strategy", Ural Federal University named after the First President of Russia B.N. Yeltsin (24 hours)

  22. Advanced training "Aspects of the implementation of the university development program in conditions of constant change", Tyumen State University (32 hours)

  23. Advanced training "Mechanisms of formation of educational policy in a modern university", Tyumen State University (32 hours)

  24. Professional retraining "Personnel management strategy at a modern university", ANO "Innovation Agency" (250 hours)

Labor activity

  1. ( - )

    assistant of the department. UralENIN NPP UrFU

  2. ( - )

    Associate professor of the department. UralENIN NPP UrFU

  3. ()

    to the present - Associate professor of the Faculty. UralENIN UrFU Electrical Engineering

  4. ()

    Head of the Laboratory of Digital Twins in the Electric Power Industry at UralENIN UrFU

Research interests

  • multi-level modeling of power engineering facilities and systems, intelligent systems in the power industry;
  • diagnostics, monitoring and forecasting of the technical condition of high-voltage equipment, digital twins of power engineering facilities and systems;
  • modeling, optimization and intelligent control of power engineering systems and complexes, including systems with distributed and renewable energy;
  • robotic complexes, Physical AI and embodied artificial intelligence, computer vision and multimodal analysis in the energy sector;
  • artificial intelligence, large language models and intelligent systems in industry;
  • system analysis, ontological modeling, analysis of heterogeneous data, data and knowledge repositories.
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