Training of third-level higher education applicants – Doctor of Philosophy (PhD) candidates – is carried out through doctoral studies in full-time (daytime or evening) or part-time modes. Our department provides training in specialty G7 “Automation, Computer-Integrated Technologies and Robotics” within the Educational and Scientific Programme “Automation and Computer-Integrated Technologies.”
Detailed information about the programme content, curriculum, and course syllabi can be found on our website on the “Educational Programmes” page, as well as on the website of the Postgraduate Studies Office.
During the period of doctoral studies, a PhD candidate is required to fulfill all requirements of the educational and scientific programme, acquire theoretical knowledge, skills, and other competencies necessary for generating new ideas and solving complex problems in professional and/or research and innovation activities. Candidates must master the methodology of scientific and pedagogical work, conduct their own research with scientific novelty and theoretical and/or practical significance, and defend their dissertation.
All details regarding the admission quota for the current year, admission procedures and regulations, the training process, preparation, and defense of the dissertation can be found on the website of the Postgraduate Studies Office of NTU “KhPI.”
Academic Supervisors
Email: petro.kachanov@khpi.edu.ua
He supervises PhD candidates of the third (educational and scientific) level of higher education. He is the guarantor of the PhD educational and scientific programme “Automation and Computer-Integrated Technologies” in specialty G7 “Automation, Computer-Integrated Technologies and Robotics.” He provides methodological support, expert consulting, and scientific and organizational supervision during the implementation of dissertation research.
He is a Laureate of the State Prize of Ukraine in Science and Technology. Member of the Information and Communication Technologies Section of the Committee for State Prizes of Ukraine, and Chairman of the Specialized Academic Council for the defense of doctoral dissertations in specialty 05.13.03 – Control Systems and Processes.
He has published more than 180 scientific works, including 5 monographs, and holds 30 certificates of authorship and patents. He has supervised 1 Doctor of Technical Sciences and 8 Candidates of Technical Sciences in specialties 05.13.05 and 05.13.03 – Computer Systems and Components.
His research interests include the design and implementation of control systems for technical objects and automation systems for industrial technological processes. His activities also include consulting in electric drive control systems, energy-saving technologies, and environmental energy solutions.
Email: oleh.yevseienko@khpi.edu.ua
Scholar | Scopus | ORCID | ResearchGate
He supervises PhD candidates of the third (educational and scientific) level of higher education, providing methodological guidance, expert consulting, and scientific and organizational support during their dissertation research.
He is the Secretary of the Specialized Academic Council for the defense of doctoral dissertations in specialty 05.13.03 – Control Systems and Processes.
His research interests include industrial control systems for technological processes, monitoring and optimization of thermal processes, improvement of energy efficiency, and the implementation of modern energy-saving methods. Within this context, he focuses on current scientific problems that have practical significance for industry.
His activities also include consultation and direct work with PhD candidates. As a supervisor, he involves them in scientific tasks aimed at developing their competencies and preparing them for independent research. In his work, he encourages doctoral students to develop critical thinking and consciously apply modern research methods to solve both applied and fundamental scientific problems.
Email: viktoriia.krylova@khpi.edu.ua
Scholar | Scopus | ORCID | Web of Science
She supervises PhD candidates of the third (educational and scientific) level of higher education, providing methodological support, expert consultation, and scientific and organizational guidance during their dissertation research. In her work, she encourages doctoral students to develop critical thinking, build skills of independent scientific inquiry, consciously apply modern research methodologies, and develop innovative approaches to solving applied and fundamental scientific problems.
Her research interests focus on improving the noise immunity and informativeness of medical diagnostic systems, particularly:
studying the influence of data transmission channel burst errors on the quality of computed tomography (CT) image reconstruction;
developing methods for the adaptive application of error-correcting codes to diagnostically significant regions of CT images, aimed at improving the reliability and accuracy of machine vision algorithms.
The proposed approach is aimed at increasing the reliability of medical image transmission in telemedicine systems and optimizing automated CT data analysis procedures within modern intelligent technologies.