milemitrovic

Mile Mitrovic

PhD Student

Ph.D. thesis: “Machine Learning Methods for Power System Optimization”.

Supervisor: Petr Vorobev

IDC committee members: Henni Ouerdane, David Pozo and Petr Vorobev

Mile graduated from Faculty of Technical Sciences, University of Novi Sad, Serbia in 2017 majoring in Electrical and Computer Engineering. In 2019 Mile received with honors his M.Sc. degree in Electric Power Engineering and Electrical Engineering at Nizhny Novgorod State Technical University, Russia.​ His M.Sc thesis was devoted to the development of multi-parameter Relays Protection in order to increase their sensitivity. During his master’s studies, he was a scholarship holder for a year in the Engineering Department of the State Corporation Rosatom ASE, where he had opportunity to deal with the Digital Economy and the Nuclear Power Plants.​

Mile’s research interests are centered around application of statistics, machine learning, big data and IoT to Power Systems and Industry. At Skoltech Mile’s focus of research is application ​of machine learning methods for Power System optimization, where he collaborates with the Los Alamos National Laboratory, USA​​

 

List of conferences:

1) A.L. Kulikov, A.A. Loskutov, M.Mitrovic. Method of automated synthesis of the logic part of relay protection device which increases its sensitivity / IOP Conference Series  Materials Science and Engineering 643:012124, International Scientific Electric Power Conference,  Saint Petersburg, Russia, 2019.

2) A. Loskutov, P. Pelevin, M.Mitrovic. Development of the logical part of the intellectual multi-parameter relay protection / E3S Web of Conferences 139(1):01060,  Rudenko International Conference ’’Methodological problems in reliability study of large energy systems’’, Tashkent, Uzbekistan, 2019.

3) A.L. Kulikov, A.A. Loskutov, M.Mitrovic. Improvement of the technical excellence of multiparameter relay protection by combining the signals of the measuring fault detectors using artificial intelligence methods / E3S Web of Conferences 124(5):01039, International Scientific and Technical Conference Smart Energy Systems, Kazan, Russia,  2019.

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