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Yuriy Dmitrishin

Personal website: https://dmitrishin.github.io/

Project function head, industry expert, and engineer with experience in international NPP construction projects, scientific research, and additional expertise in the application of artificial intelligence and mathematical modeling technologies in NPP construction and the construction industry.

About Me

I have been working in the construction industry for over 20 years. My experience covers nuclear energy and industrial construction. I have held engineering and leadership positions in design, planning, project management, risk management, and R&D in construction and in artificial intelligence for management and engineering.

I have knowledge in engineering, organization and technology of NPP construction; technical and engineering review of EPC contracts; international laws and regulations (construction, technical regulation, anti-corruption legislation, etc.); IAEA regulatory documents; and risk management. Since 2016 I have been developing competencies in artificial intelligence, machine learning, decision theory, operations research, and systems analysis.

My areas of interest:

  • Nuclear power and industrial construction
  • Project management and project management methodology
  • Risk management, internal control, and compliance in construction
  • EPC contract management and engineering contract management
  • Artificial intelligence and machine learning in engineering

Selected Research

Formalization of a Nuclear Power Plant Life-Cycle Model for AI and Machine Learning Applications

Yuriy Dmitrishin, 2025

A formal research-oriented model for NPP life-cycle management and AI/ML applications, integrating structural, semantic, documentary, quantitative, and orchestration layers.

GitHub repository
DOI: 10.5281/zenodo.18527396

Mathematical Optimization and Forecasting of Nuclear Power Plant Construction Progress using Probabilistic Models and Machine Learning Methods

Yuriy Dmitrishin, 2018

A probabilistic framework for forecasting and optimization of NPP construction projects using PERT/GERT models, Monte Carlo simulation, mathematical optimization, and machine learning.

GitHub repository
DOI: 10.5281/zenodo.15373676

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