Fesenko Herman Viktorovych

Department of Computer Systems, Networks and Cybersecurity

Candidate of Technical Sciences, Associate Professor for Department of Computer Systems, Networks and Cybersecurity, Faculty of Radio Electronics, Computer Systems and Infocommunications, National Aerospace University "Kharkiv Aviation Institute"

[email protected]

Author's profile in scientometric databases:

Google Scholar https://scholar.google.com/citations?user=9zZ8AzYAAAAJ&hl

Scopus https://www.scopus.com/authid/detail.uri?authorId=57190123735

ResearcherID https://publons.com/researcher/H-7875-2018/

ORCID https://orcid.org/0000-0002-4084-2101

Education:

He graduated from Kharkiv Military University in 1995. From 1998 to 2001 – a post graduate cadet at Kharkov Military University. In 2001he defended his dissertation for the degree of Candidate of Technical Sciences in the specialty 20.02.14 - armaments and military equipment, on a special topic. In 2004 he received the academic title of senior researcher. In 2008 he received the academic title of Associate Professor. From 2018 to 2020 – a doctoral student of full-time doctoral studies at the National Aerospace University "Kharkiv Aviation Institute".

Research interests:

Big data technologies.
Reliability and survivability of complex technical systems.
Ensuring the reliable operation of UAV fleets for monitoring systems.

Internship:

Half-year pedagogical internship at the National University of Civil Protection of Ukraine in 2017.

Social activities:

Full member of the Public Organization Ukrainian Scientific IT Society.

Providing academic disciplines:

«Theory and methods of data science and artificial intelligence»
«Software engineering»
«Технології обробки великих даних»

Publications:

Fesenko H., Kharchenko V., Sachenko A., Hiromoto R., Kochan V. An Internet of Drone-based multi-version post-severe accident monitoring system: Structures and reliability. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation : collective monograph / ed. by V. Kharchenko, A. L. Kor, A. Rucinski. Gistrup, Denmark : River Publishers, 2018. Chapter 9. P. 197–217.

Fesenko H., Kliushnikov I. NPP monitoring missions via a multi-fleet of drones: Reliability issues. Cyber Security and Safety of Nuclear Power Plant Instrumentation and Control Systems : collective monograph / ed. by M. Yastrebenetsky, V. Kharchenko. Hershey, PA, USA : IGI Global, 2020. Chapter 17. P. 458–473. DOI: 10.4018/978-1-7998-3277-5.ch017.

Articles:

Brezhnev E., Fesenko H., Kharchenko V., Levashenko V., Zaitseva E. MSS models of smart grids with multi-level degradation and recovery. Studies in Systems, Decision and Control. 2017. Vol. 74. P. 209–228. DOI: 10.1007/978-3-319-44162-7_11.

Fesenko H., Kharchenko V., Brezhnev E., Zaitseva E., Levashenko V. Markov models of smart grid digital substations availability: Multi-level degradation and recovery of power resources issues. Studies in Systems, Decision and Control. 2017. Vol. 105. P. 339–355. DOI: 10.1007/978-3-319-55595-9_16.

Kharchenko V., Fesenko H., Doukas N. A stochastic continues-time model of the drone fleet: Research of survivability and choice of parameters. International Journal of Instrumentation and Measurement. 2017. Vol. 2. P. 25–30. URL: https://www.iaras.org/iaras/filedownloads/ijim/2017/023-0004(2017).pdf (date of access: 20.11.2020).

Kliushnikov I. M., Fesenko H. V., Kharchenko V. S. Using automated battery replacement stations for the persistent operation of UAV-enabled wireless networks during NPP post-accident monitoring. Radioelectronic and Computer Systems. 2019. № 4 (92). С. 30–38. DOI: 10.32620/reks.2019.4.03.

Kliushnikov I. M., Fesenko H. V., Kharchenko V. S. Scheduling UAV fleets for the persistent operation of UAV-enabled wireless networks during NPP monitoring. Radioelectronic and Computer Systems. 2020. № 1 (93). С. 29–36. DOI: 10.32620/reks.2020.1.03.

Fesenko H., Kharchenko V., Bardis N., Kor A. L., Brezhniev Y. Drone fleet survivability evaluation based on Lanchester’s modified deterministic model. International Journal of Circuits, Systems and Signal Processing. 2020. Vol. 14. P. 775–781. DOI: 10.46300/9106.2020.14.99. URL: https://www.naun.org/main/NAUN/circuitssystemssignal/2020/c022005-dah.pdf (date of access: 20.11.2020).

Sachenko A., Kochan V., Kharchenko V., Roth H., Yatskiv V., Chernyshov M., Bykovyy P., Roshchupkin O., Koval V., Fesenko H. Mobile post-emergency monitoring system for nuclear power plants. ICT in Education, Research, and Industrial Applications (ICTERI’2016) : Proc. 12th Int. Conf., Kyiv, Ukraine, Jun. 21–24, 2016. P. 384–398.

Kharchenko V., Sachenko A., Kochan V., Fesenko H. Reliability and survivability models of integrated drone-based systems for post emergency monitoring of NPPs. Information and Digital Technologies (IDT’2016) : Proc. IEEE Int. Conf., Rzeszow, Poland, Jul. 5–7, 2016. P. 127–132. DOI: 10.1109/DT.2016.7557161.

Kharchenko V., Fesenko H., Doukas N. An approach to the drone fleet survivability assessment based on a stochastic continues-time model. Mathematical Methods and Computational Techniques in Science and Engineering (MMCTSE’2017) : Proc. AIP Conf., Cambridge, UK, Feb. 24–26, 2017. Vol. 1872. P. 20025. DOI: 10.1063/1.4996682.

Kharchenko V., Fesenko H., Sachenko A., Hiromoto R., Kochan V. Reliability issues for a multi-version post-severe NPP accident monitoring system. Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017) : Proc. 9th IEEE Int. Conf., Bucharest, Romania, Sept. 21–23, 2017. Vol. 2. P. 942–946. DOI: 10.1109/IDAACS.2017.8095225.

Kharchenko V., Fesenko H., Bardis N. An approach to the drone fleet survivability assessment based on a combinatorial model. Mathematical Methods and Computational Techniques in Science and Engineering (MMCTSE’2018) : Proc. AIP Conf., Cambridge, UK, Feb. 16–18, 2018. Vol. 1982. P. 020047. DOI: 10.1063/1.5045453. URL: https://aip.scitation.org/doi/pdf/10.1063/1.5045453 (date of access: 20.11.2020).

Fesenko H. Optimal redistribution of UAVs in case of changing monitoring zones after a NPP accident. Dependable Systems, Services and Technologies (DESSERT’2018) : Proc. 9th IEEE Int. Conf., Kyiv, Ukraine, May 24–27, 2018. P. 48–52. DOI: 10.1109/DESSERT.2018.840909.

Fesenko H., Kharchenko V. Determining the optimum number of single operator controlled unmanned aerial vehicles for NPP monitoring missions: Human error issues. Problems of Infocommunications Science and Technology (PIC S and T’2018) : Proc. IEEE Int. Sci.-Pract. Conf., Kharkiv, Ukraine, Oct. 9–12, 2018. P. 711–714. DOI: 10.1109/INFOCOMMST.2018.8632029.

Rusnak P., Kvassay M., Zaitseva E., Kharchenko V., Fesenko H. Reliability assessment of heterogeneous drone fleet with sliding redundancy. Dependable Systems, Services and Technologies (DESSERT’2019) : Proc. 10th IEEE Int. Conf., Leeds, UK, Jun. 5–7, 2019. P. 19–24. DOI: 10.1109/DESSERT.2019.8770031.

Fesenko H., Kharchenko V., Zaitseva E. Evaluating reliability of a multi-fleet with a reserve drone fleet:  an approach and basic model. Information and Digital Technologies (IDT’2019) : Proc. IEEE Int. Conf., Zilina, Slovakia, Jun. 25–27, 2019. P. 128–132. DOI: 10.1109/DT.2019.8813738.

Fesenko H., Kharchenko V. Reliability models for a multi-fleet of drones with two-level hot standby redundancy considering a control system structure. Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019) : Proc. 10th IEEE Int. Conf., Metz, France, Sept. 18–21, 2019. Vol. 2. P. 1030–1035. DOI: 10.1109/IDAACS.2019.8924404.

Fesenko H., Kliushnikov I., Kharchenko V. , Rudakov S., Odarushchenko E. Routing an unmanned aerial vehicle during NPP monitoring in the presence of an automatic battery replacement aerial system. Dependable Systems, Services and Technologies (DESSERT’2020) : Proc. 11th IEEE Int. Conf., Kyiv, Ukraine, May 14–18, 2020. P. 34–39. DOI: 10.1109/DESSERT50317.2020.9125080.