E–mail: iskander@icc.ru

Place of work: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (ISDCT SB RAS), Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  associate professor

Post: leading researcher, head of the laboratory

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  2.3.5. – Mathware and software of computers, complexes and computer networks

Scientific major: decision support systems, expert systems, knowledge bases, diagnostics, technical systems 

Important publications:

1. Yurin A. A Technique for Rapid Development of Declarative Knowledge Bases for Aircraft Diagnostics Based on Decision Tables / A.Yu. Yurin, O.A. Nikolaychuk, N.O. Dorodnykh, Yu.V. Kotov // Lecture Notes in Networks and Systems, 2022, Vol.502, P. 140-149. DOI:10.1007/978-3-031-09076-9_13
2. Yurin A. Knowledge Bases Engineering Based on Event Trees Transformations: A Case Study for Aircraft Diagnostics / A.Yu. Yurin, O.A. Nikolaychuk, N.O. Dorodnykh, A.B. Stolbov, Y.V. Kotlov, V.M. Popov // Lecture Notes in Networks and Systems, 2022, Vol 566, P. 3-12. DOI:10.1007/978-3-031-19620-1_1

E–mail: sokolov_o_a@mail.ru

Place of work: Saint-Petersburg State University of Civil Aviation, Saint-Petersburg, Russia

Academic degree: Candidate of Technical Sciences

Post: associate professor of the department of automatic control

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  2.9.6. – Air navigation and operation of aviation equipment

Scientific major: adaptive systems for automatic flight control, algorithms for fault-tolerant strapdown inertial navigation systems, technical operation of integrated avionics complexes 

Important publications:

1. Sokolov O. A. A variant of the reference model of an adaptive system for improving the stability and controllability of an aircraft for the “damper” mode / O. A. Sokolov, A. L. Kivokurtsev, D. O. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – – No. 3 (20). – pp. 60-68. – EDN YQKJWH.
2. Kivokurtsev A. L. Improving the reliability of an integrated avionics complex based on the sliding redundancy method / A. L. Kivokurtsev, O. A. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – – No. 2 (31). – pp. 120-129. – EDN VEMAMT.
3. Kivokurtsev A. L. Features of optimization for orientation algorithms of the aviation strapdown inertial navigation system / A. L. Kivokurtsev, O. A. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – – No. 3 (24). – pp. 62-73. – EDN FFOQCN

E–mail: kivokurtsev_al@mail.ru

Place of work: Moscow State Technical University of Civil Aviation, Irkutsk Branch, Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Post: associate professor of the department of aviation electrical systems and flight and navigation systems

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission): 2.9.6. – Air navigation and operation of aviation equipment (05.22.14 – Operation of air transport)

Scientific major: technical operation of integrated onboard equipment complexes, algorithms for fault-tolerant strapdown inertial navigation systems, adaptive systems for automatic flight control

Important publications:

1. Kivokurtsev A. L. Improving the reliability of an integrated avionics complex based on the sliding redundancy method / A. L. Kivokurtsev, O. A. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – 2021. – No. 2 (31). – pp. 120-129. – EDN VEMAMT.
2. Kivokurtsev A. L. Features of the use of “FAROS A-320” procedural simulators for the preparation of students at the university / A. L. Kivokurtsev // Actual problems and prospects of development of civil aviation: Proceedings of the X International Scientific and Practical Conference, Irkutsk, October 14-15, 2021 – Irkutsk: Irkutsk branch MSTUCA, 2021. – pp. 144-153. – EDN BQHYIX.
3. Kivokurtsev A. L. Features of optimization for orientation algorithms of the aviation strapdown inertial navigation system / A. L. Kivokurtsev, O. A. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – 2019. – No. 3 (24). – pp. 62-73. – EDN FFOQCN
4. Sokolov O. A. A variant of the reference model of an adaptive system for improving the stability and controllability of an aircraft for the “damper” mode / O. A. Sokolov, A. L. Kivokurtsev, D. O. Sokolov // Bulletin of the St. Petersburg State University of Civil Aviation. – 2018. – No. 3 (20). – pp. 60-68. – EDN YQKJWH.

E–mail: uvakhrusheva@mail.ru

Place of study: Moscow State Technical University of Civil Aviation, Irkutsk Branch, Irkutsk, Russia

Post: student.

Scientific major: information transmission systems using LoRa technology, Unmanned Aircraft Systems.

Important publications:

1. Mezhetov M.A., Tikhova A.I., Vakhrusheva U.S., Fedorov A.V. Applying LoRa Technology in Unmanned Aircraft Systems // Proceedings of the X International Scientific and Practical Conference “Actual Problems of Civil Aviation Development”. 2021. Volume 2. P. 180-185.
2. Mezhetov, M., Tikhova, A., Vakhrusheva, U., Fedorov, A. Applying LoRa Technology in Unmanned Aircraft Systems // Gorbachev, O.A., Gao, X., Li, B. (eds) Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. Springer, Singapore. 2023. С. 189-197.

E–mail: tikhova_a.i@mail.ru

Place of work: Moscow State Technical University of Civil Aviation, Irkutsk Branch, Irkutsk, Russia

Post: Engineer of the Department of Aircraft Radio Electronic equipment.

Scientific major: Digital methods of signal generation and transmission in aircraft communication lines, monitoring systems of aircraft communication lines, satellite radio navigation systems, broadband data transmission systems.

Important publications:

1. Mezhetov M.A., Tikhova A.I., Vakhrusheva U.S., Fedorov A.V. Applying LoRa Technology in Unmanned Aircraft Systems // Proceedings of the X International Scientific and Practical Conference “Actual Problems of Civil Aviation Development”. 2021. Volume 2. P. 180-185.
2. Mezhetov, M., Tikhova, A., Vakhrusheva, U., Fedorov, A. Applying LoRa Technology in Unmanned Aircraft Systems // Gorbachev, O.A., Gao, X., Li, B. (eds) Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. Springer, Singapore. 2023. С. 189-197.

E–mail:hells1388@gmail.com

Place of work: Sberbank of Russia, Irkutsk, Russia

Status: senior auditor

Рlace of study: Irkutsk State University, Irkutsk, Russia

Status: graduate student

Scientific major: machine learning, mathematical modeling and computer vision

E–mail: alekspbor@gmail.com

Place of work: Irkutsk State University, Irkutsk, Russia

Status: graduate student of the direction «Mathematical modeling» / trainee researcher of the Scientific Research Center «Baikal Region»

Scientific major: reliability of technical systems, optimization, search for optimal ways to increase the level of reliability