Oleg Golevych

Chief Scientific Officer at DIGAS
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Contact Information
us****@****om
(386) 825-5501
Location
Latvia, LV
Languages
  • Ukrainian Native or bilingual proficiency
  • Russian Native or bilingual proficiency
  • English Professional working proficiency
  • Polish Limited working proficiency
  • German Elementary proficiency

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Experience

    • Latvia
    • Railroad Equipment Manufacturing
    • 1 - 100 Employee
    • Chief Scientific Officer
      • Nov 2015 - Present

      As the head of the ECU Control and Safety Algorithms team, I successfully managed all aspects of software development, including technical specifications and test case preparation. My leadership ensured the smooth execution of projects and the effective coordination of team members to deliver high-quality results. As a Scientific Technical Writer: - Developed technical documentation for Horizon 2020 (successful project) - Developed technical documentation for EISMEA - Developed technical documentation for dual fuel locomotive control system certification including risk assessment (EN 50126). As a Data Scientist: - I analyzed hundreds of live data on the operation of diesel locomotives, which made it possible to quickly find the causes of breakdowns during commissioning and operation, as well as predict their occurrence, which significantly affected the minimization of repair costs and downtime of the locomotive. - Designed real data mathematical model of H2-Li-ion power cell for shunter and freight locomotives. - Designed an auto-adaptation matrices methodology, forming the foundation for a highly accurate and efficient mathematical model of locomotive fuel consumption in diesel and dual fuel modes. This model is now used for predictions and financial calculations. - Designed an mathematical model of locomotive CNG fuel consumption (compressibility factor). As a Research Programmer: - Led the development of a guaranteed message delivery locomotive telemetry system with software and hardware infrastructure that allows clients access to up to 700 locomotive real-time and statistical data and automatic periodical reports. - Developed real-time mathematical models and software infrastructure for hydrogen fuel direct injector performance measurements. - Reverse engineered General Electric locomotives ECU (QNX OS) and developed С/C++ software in SoC, AVR, STM32, Windows, Linux environments using OOP and multithreading in both computational and memory constraints. Show less

    • Doctor of Philosophy - PhD in Engineering
      • 2013 - 2015

      Researcher, obtained PhD in Engineering. Lecturer. Head of doctoral student group. Researcher, obtained PhD in Engineering. Lecturer. Head of doctoral student group.

Education

  • Khmelnitsky National University
    Doctor of Philosophy - PhD in Engineering, Telecommunications Engineering
    2012 - 2015
  • Khmelnitsky National University
    Master's degree, Telekommunikation
    2008 - 2012

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