Kirill Glinsky, Egor Endovitsky and Maxim Susloparov Successfully Defended Their PhD Theses

Researchers from the Wireless Networks Lab at the Institute for Information Transmission Problems (IITP RAS), the Intelligent Communication Systems Lab at MIPT, and the Telecommunications Systems Research Laboratory at HSE University — Egor Endovitsky, Kirill Glinsky, and Maxim Susloparov — have successfully defended their PhD theses. During their studies, all three were awarded the Presidential Scholarship for PhD Students of the Russian Federation.

On June 23, the MIPT Dissertation Council awarded them the degree of PhD of Technical Sciences. Their supervisors, Evgeny Khorov and Artem Krasilov, together with the members of the dissertation council, highly praised the quality of the research and the significance of the results obtained.

Kirill Glinsky’s dissertation focuses on the application of machine learning methods to support Ultra-Reliable Low-Latency Communications (URLLC) in fifth-generation (5G) and beyond wireless networks. The research introduces algorithms for selecting the modulation and coding scheme (MCS) and the precoder, as well as a method for determining the optimal time for model retraining, enabling the communication system to maintain the required quality of service under changing channel conditions. The results have been published in two Q1 journals and presented at the IEEE INFOCOM conference (CORE A*). In 2025, Kirill won the All-Russian Young Scientists Forum Science of the Future – Science of the Young.

Egor Endovitsky’s dissertation investigates the use of spatial, temporal, and frequency-domain correlation properties of MIMO channels to reduce channel state information (CSI) feedback while preserving high estimation accuracy. The thesis proposes efficient methods for channel characterization and compression in broadband systems and provides an analysis of MIMO channel sounding mechanisms in Wi-Fi networks under practical implementation constraints. The results have been published in two Q1 journals and presented at the IEEE BlackSeaCom international conference.

Maxim Susloparov’s dissertation is devoted to the development of data transmission control algorithms for 5G networks operating simultaneously in sub-6 GHz and millimeter-wave frequency bands. The proposed traffic balancing and joint radio resource scheduling solutions improve communication reliability and users’ quality of service. The results have been published in two Q1 journals and presented at leading Russian and international conferences, including IEEE BlackSeaCom, Information Technologies and Systems (ITaS), and the MIPT All-Russian Scientific Conference.

Throughout their studies, all three researchers actively participated in projects funded by the Russian Science Foundation, as well as industrial R&D projects commissioned by telecommunications equipment manufacturers, where the developed methods were successfully applied.

Evgeny Khorov, Head of the Laboratory and PhD supervisor of Kirill Glinsky and Egor Endovitsky, commented:

“These successful defenses are the natural outcome of several years of dedicated work. From the very beginning, the students chose genuinely challenging research problems at the forefront of wireless communications and developed them into strong results recognized by the international research community through publications in Q1 journals and presentations at top-tier conferences. Equally important, however, is that their work has not remained purely theoretical: the proposed methods have been validated in real-world projects. This combination of fundamental research and practical impact is exactly what we strive to cultivate in our laboratory. I am sincerely proud of their achievements and confident that they have a bright scientific future ahead.”

Artem Krasilov, Senior Research Fellow, added:

“I congratulate Kirill, Egor, and Maxim on the successful defense of their PhD theses. All three dissertations are of a very high scientific standard and address important challenges in modern wireless communication systems—from enabling ultra-reliable low-latency communications to improving the efficient use of radio resources across different frequency bands. I would also like to emphasize that the proposed solutions have already been applied in industrial R&D projects carried out for major telecommunications equipment manufacturers. I am confident that the experience they gained in solving practical research problems during their doctoral studies will provide a solid foundation for their future scientific and professional careers. I wish them many more exciting research achievements and continued success.”

We sincerely congratulate Egor Endovitsky, Kirill Glinsky, and Maxim Susloparov on the successful defense of their PhD theses and wish them every success in their future research careers!