Maksym Sobol


Position: Associate Professor

Degree: PhD

Title: Associate Professor

Contacts: Maksym.Sobol@khpi.edu.ua, Educational building №2, room 520

Professional and academic experience

  • 2023 – present time – associate professor of the Department of System Analysis and Information and Analytical Technologies of the National Technical University “Kharkiv Polytechnic Institute”
  • 2017 – 2023 – Associate Professor of the Department of Informatics and Intellectual Property of the National Technical University “Kharkiv Polytechnic Institute”
  • 2004 – 2017 – business analyst, BI analyst, project manager for creation and reengineering of corporate information systems in IT departments of commercial and IT companies of Ukraine
  • 2001 – 2004 – senior researcher, deputy head of the research department, leading researcher – deputy head of the research department at the Scientific Center for Space Research at the Kharkiv Military University
  • 1997 – 2001 – teaching assistant, lecturer, senior lecturer of the department at the Kharkiv Military University
  • 1993 – 1997 – Adjunct full-time adjunct at Kharkiv Military University

Education

  • Training course: “Fundamentals of project management and business analysis in the IT”, from January 30, 2024 to April 24, 2024. Approved by NTU “KhPI” order No. 878C dated 05/29/2024. Certificate PK-446.
  • Distance course: “Introduction to PYTHON programming for BIG DATA AND DATA SCIENCE”, from February 7, 2023 to May 7, 2023. Approved by NTU “KhPI” order No. 1016C dated 07/24/2023. Certificate PK-248.
  • Approved as advanced training:
    • speech at the international conference 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek), October 3-7, 2022, DOI: 10.1109/KhPIWeek57572.2022. Certificate signed by the rector of NTU “KhPI” ;
    • training on the basis of the IT company “EPAM Systems” in “Automated testing in Java”. Training period: from 07/05/2022 to 10/10/2022. Certificate No. EPAMITF221119. NTU “Khpi” order No. 1991 C dated 12/13/2022.
  • Distance course “Software Testing (QA)”. Approved by order of NTU “KhPI” No. 2366C dated 12/28/2021. Certificate PK-061.
  • Distance course “Business analysis in IT”. Approvedby order of NTU “KhPI” No. 2041С dated 12/01/2021. Certificate PK-039.
  • Training in the specialized electronic education system UiPath Academy according to the program of software courses for digital transformation of business processes of enterprises from May 28, 2018 to July 13, 2018. Training is confirmed by certificates certified by the UiPath Academy system. Approved by order of NTU “KhPI” No. 2430С dated November 20, 2018.
  • International internship at the University “Higher School of Management of Information Systems” (Informācijas sistēmu menedžmenta haugskola (ISMA), Riga, Latvia) from August 3, 2020 to September 25, 2020. according to the program: “Computer systems and networks in the learning process”. Approved by order of NTU “KhPI” No. 1984С dated 12/04/2020.
  • Distance course for teachers from the GlobalLogic company “Principles of flexible work. Agile for teachers” in August – September 2020. Approved by order of NTU “KhPI” No. 1984С dated 12/04/2020.
  • Candidate of Technical Sciences (PhD) in the specialty 20.02.14 – Armament and military equipment – 1997, Kharkiv Military University
  • Ballistics engineer specializing in ballistics – 1993, Kharkiv Higher Military Command and Engineering School of Strategic Missile Forces.

Teaching disciplines

Scientific interests

  • Systems of digital transformation of enterprises business processes
  • IT business analysis, software development requirements analytics, software development management
  • Development and maintenance of ERP and MRP systems for enterprise resource planning, production and sales, CRM and SCM systems for customer relationship management and supply chains
  • Topogeodetic and ballistic-navigation support, geographic information and satellite navigation systems
  • Mathematical models and methods of controlling the flow parameters of a distributed multi-section branched conveyor type transport systems

Professional Achievements and Membership

Published works

Textbooks, study guides, monographs

Papers

  • V. Slyusar, M. Protsenko, А. Chernukha, V. Melkin,O. Petrova, M. Kravtsov, S. Velma, N. Kosenko, O. Sydorenko, M. Sobol Improving a neural network model for semantic segmentation of images of monitored objects in aerial photographs / Slyusar, V., Protsenko, M., Chernukha, A., Melkin, V., Petrova, O., Kravtsov, M., Velma, S., Kosenko, N., Sydorenko, O., Sobol, M .// Eastern-European Journal of Enterprise Technologies, 2021.-6. Р.86-95- ISSN 1729-3774., doi: https://doi.org/10.15587/1729-4061.2021.248390 (included in the scientometric database Scopus, SNIP: 0.569, publication in the register Scopus: https://www.scopus.com/sourceid/21100450083).
  • Pihnastyi O. M. Synthesis of the algorithm for the flow parameters optimal control of the reversible conveyor / O. M. Pihnastyi, O. V. Ivanovska, M. O. Sobol // Радіоелектроніка, інформатика, управління = Radio Electronics, Computer Science, Control = Радиоэлектроника, информатика, управление. – 2022. – № 2. – С. 210-221, ISSN / eISSN: 1607-3274 / 2313-688X, doi: https://doi.org/10.15588/1607-3274-2022-2-20 (category A, publication in the list of scientific specialized publications of Ukraine, included in the scientometric database Web of Science Core Collection, publications in the Web of Science Core Collection registry)
  • O. M. Pygnastii Stress analysis in a conveyor belt for the Maxwell model of an elastic element / O. M. Pygnastii, M. O. Sobol // Bulletin of the KhPI National Technical University. Ser. : Dynamics and strength of machines = Bulletin of the National Technical University “KhPI”. Ser. : Dynamics and Strength of Machines : coll. of science pr. – Kharkiv: NTU “KhPI”, 2022. – No. 1. – P. 81-93. doi: https://doi.org/10.20998/2078-9130.2022.1.265430. (category B, publication in the list of scientific and specialized publications of Ukraine)
  • Parzhin Yu. Method for binary contour images vectorization of handwritten characters for recognition by detector neural networks / Yu. Parzhin, S. Galkyn, M. Sobol // 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPI Week) : conf. proc., October 03-07, 2022, Kharkiv, Ukraine / org. comm.: Ye. Sokol [et al.]. – Kharkiv IEEE, 2022. – 6 p., Electronic ISBN:979-8-3503-9920-2, Print on Demand (PoD) ISBN:979-8-3503-9921-9, doi: https://doi.org/10.1109/KhPIWeek57572.2022.9916331 (included in the scientometric database Scopus: https://www.scopus.com/authid/detail.uri?authorId=57433421100).
  • O. Pignastiy, M. Sobol “Using an analytical model for the synthesis of transport conveyor parameter control algorithms.” Computer Systems and Information Technologies, Vol. 4, December 2022, p. 73-82, doi: https://doi.org/10.31891/csit-2022-4-10 (category B, publication in the list of scientific specialized publications of Ukraine: https://mon.gov.ua/ua/nauka/nauka/atestaciya-kadriv-vishoyi-kvalifikaciyi/naukovi-fahovi-vidannya)