Pavel Matrenin

Leading researcher

Pavel Matrenin
Position
Leading researcher
Degree / title
PhD
Contacts
Email:p.v.matrenin@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

2012 – Novosibirsk State Technical University, Bachelor's degree in Computer Science and Computer Engineering. 2014 – Novosibirsk State Technical University, Master's degree in Computer Science and Computer Engineering. 2018 – Novosibirsk State Technical University, qualification "Researcher. Teacher-researcher", Computer Science and Computer Engineering department.

Educational programs

Artificial intelligence in the electric power industry

Intelligent urban energy systems

Labor activity

  1. ( - )

    Software engineer at Chkalovskoye CJSC

  2. ( - )

    developer of WinkCam algorithms

  3. ( - )

    PhD at NSTU

  4. ( - )

    senior developer of algorithms at Vinkam LLC

  5. ( - )

    senior lecturer at NSTU

  6. ()

    Associate Professor, Senior Researcher at NSTU

  7. ()

    Senior Researcher at UrFU EETS Department

Information on advanced training

  1. Professional retraining "Modern Business: Economics and Management", Novosibirsk State Technical University (505 hours)

  2. Advanced training "Analysis, Processing and Presentation of Data in Energy Systems", Ural Federal University named after the First President of Russia B.N.. Yeltsin" (72 hours)

  3. Professional retraining "Application of digital technologies in the electric power Industry", Ural Federal University named after the First President of Russia B.N. Yeltsin (252 hours)

  4. Advanced training "Application of Machine Learning methods in the Energy Industry", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)

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

  6. Advanced training "First aid to victims", Novosibirsk State Technical University (16 hours)

  7. Advanced training "Digital Corporate Resources in teaching activities", Novosibirsk State Technical University (72 hours)

  8. Advanced training "Research competencies for technical specialists in the context of the digital transformation of Industry", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)

  9. Advanced training "Providing first aid to victims", Novosibirsk State Technical University (16 hours)

  10. Advanced training "Principles and Technologies for the Implementation of project-based learning in Higher Education", Ural Federal University named after the First President of Russia B.N. Yeltsin (24 hours)

Research interests

  • Trusted, secure, and explainable artificial intelligence, interpretation, and verification of machine learning models;
  • system analysis, data analysis, optimization, and decision support for industrial power generation and consumption facilities;
  • generative artificial intelligence, large language models, intelligent agents, and knowledge management methods;
  • time series analysis, forecasting of power consumption and renewable energy generation, hydrological forecasting;
  • embodied artificial intelligence, computer vision, and robotic systems.
Back to list