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Nenashev Vadim Alexandrovich (b. 1989)
– Candidate of Technical Sciences, Associate Professor of the Department of Computing Systems and Networks, Deputy Director of Institute No. 4 for Scientific and Innovative Activities.
In 2012, he graduated from St. Petersburg State University of Aerospace Instrumentation with a degree in Informatics and Computer Engineering. In 2017 he defended his dissertation for the degree of candidate of technical sciences.
Since 2019 - Head of the Laboratory of Intelligent Technologies and Modeling of Complex Systems of the SUAI. The laboratory includes: 3 doctors of sciences (Sergeev M.B., Shepeta A.P., Balonin N.A.), 4 candidates of sciences (Nenashev V.A., Vostrikov A.A., Sergeev A.M., Sentsov A.A.), as well as graduate students and students of Institute No. 4. The main task of the laboratory is to carry out fundamental and applied research in the field of modeling complex processes and systems, processing and integrating large amounts of information, as well as in the field of modern intellectual technologies. The laboratory is equipped with a network of high-performance supercomputers and other relevant equipment, the necessary information and software resources that serve as the basis for the implementation of modern scientific and technical projects.
Author of 100 scientific, educational and methodical publications, patents and certificates of state registration of computer programs. (More)
Scientific awards, societies:
1. Gratitude for the success achieved in work following the results of the implementation of the production and scientific and technical program in 2012 was announced. Holding company "LENINETS"
2. May 11, 2013 at the annual meeting of the ISA European Council in Lisbon (Portugal) following the results of the IX European competition for the best scientific work (ESPC-2013) was awarded a gold medal.
3. The report “Model of high-precision mapping by the method of synthesizing aperture with fluctuations of the echo signal of the earth’s surface” was awarded by the Ministry of Education and Science of the Russian Federation at the competition of innovative projects of young scientists at the international Latin American forum in Peru, Lima, UNIVERSIDAD NACIONAL DE INGENIERIA, 15-24 September 2013
4. July 18, 2013 at the headquarters of the International Society for Automation (ISA) in North Carolina (USA) according to the results of the competition for grants, ISA was declared the winner.
5. Laureate of the scholarship of the President of the Russian Federation for graduate students studying full-time in scientific specialties corresponding to the priority areas of modernization and technological development of the Russian economy in 2013-2014.
6. Awarded gold medal at the annual meeting of the ISA European Council in Cork (Ireland) following the results of the X European competition for the best scientific work (ESPC-2014).
7. Declared the winner of the international grant competition “SPIE Travel Scholarships” of the International Society of Optics and Photonics in 2015.
8. The Certificate is Awarded to: Nenashev VA As PARTICIPANT Workshop on Multidisciplinarity and Its Applications (WMA) Jogja 2018 "Article Writing Strategy for Internationally Indexed Multidisciplinary Publication" Held at Hotel Neo-Yogyakarta on March 23-24, 2018.
9. Winner of the 2018 grant competition among young scientists, young candidates of sciences from universities, industry and academic institutions located in St. Petersburg.
10. Gratitude is announced to Nenashev Vadim Aleksandrovich, a member of the House of Scientists named after M. Gorky of the Russian Academy of Sciences for the expert assessment and personal contribution to the competition of youth projects "Public recognition of the Admiralteisky district" of St. Petersburg in 2018.
11. Certificate of appreciation awarded to Nenashev Vadim St. Petersburg State University of Aerospace Instrumentation Russia by DISTRICT 12 for leadership of students-participants of the XI ISA District 12 student research long-distance conference (ESRC-2018), 27 April, 2018 Madrid, Spain.
12. Acknowledgment was made for the high results of scientific and technical activities with participation in the research and development work performed by ASK Laboratory LLC in 2018.
13. Winner of the competition (Competition SP-2019) for a scholarship of the President of the Russian Federation in 2019-2021 for young scientists and graduate students carrying out promising research and development in priority areas of modernization of the Russian economy
14. Laureate of the Prize of the Government of St. Petersburg in the field of scientific and pedagogical activities in 2020
15. Winner of the 2019 grant competition among young scientists, young candidates of sciences from universities, industry and academic institutions located in St. Petersburg.
16. Winner of the 2020 grant competition among young scientists, young candidates of sciences from universities, industry and academic institutions located in St. Petersburg.
17. Laureate of the youth award of the Moskovsky district of St. Petersburg in the field of science and technology in 2021
eighteen. Certificate of appreciation awarded to Nenashev Vadim St. Petersburg State University of Aerospace Instrumentation Russia by DISTRICT 12 for leadership of students-participants of the XVII ISA European students paper competition (ESPC-2021), 19 May 2021
19. Diplomas for great work on the organization of educational and research activities of students of the SUAI University in 2017-2018, 2019-2020 and 2020-2021 academic years
20. Appreciation was expressed for the high results of scientific and technical activities with participation in the research and development work performed by ASK Laboratory LLC in 2021.
Member of scientific associations :
International Society of Optics and Photonics - SPIE, USA;
house of scientists of the Russian Academy of Sciences, St. Petersburg.
Experience in managing scientific projects and participation in them (More)
1. Participation in R&D: (State task, Ministry of Education and Science) R&D "Search and study of extremal quasi-orthogonal matrices for information processing problems". 2.2200.2017/4.6. 03/01/2017 - 12/31/2019 The main contractor of the project. (More)
As part of the research work, methods for the synthesis of low-level quasi-orthogonal matrices for image processing tasks that meet the needs of today are proposed and investigated. Matrices have different orders and structures, including symmetric, cyclic, block-cyclic, etc., economical for storage and generation, which provides algorithm developers with ample opportunities to choose the most suitable ones.
Features of some of the considered matrices (Mersenne and Raghavarao) make it possible, on their basis, to obtain new code sequences, nested codes for the formation of marked code-modulated signals in modern telecommunication data transmission systems based on the set of IEEE 802.11 standards, as well as in modern multi-position radar systems.
The considered codes, according to their autocorrelation functions obtained in the work and the ratio of the peak of the autocorrelation function to the maximum sidelobe in absolute value, are an alternative to the well-known Barker codes of length 3, 4, 5, 7, 11, 13. Separately, the characteristics of nested codes, which are a combination of Barker codes , Mersenne and Raghavarao.
2. Committee for Science and Higher Education of the Government of St. Petersburg 2018.
Scientific project "Development of algorithms for modeling the process of high-precision mapping of coastal zones by a multi-position system of unmanned aerial vehicles to assess their condition" 01/01/2018 - 10/31/2018 Project manager.
The project is aimed at developing algorithms for modeling the process of high-precision mapping of the state of coastal zones, algorithms for detecting objects in need of assistance in disaster areas, as well as developing algorithms for detecting sensors used to monitor the ecological state of natural and man-made objects and read information from them necessary for assessing and prediction of the state of the specified objects.
3. Research work of the Russian Science Foundation No. 19-79-00303 "Development and research of high-precision methods of multi-position radio-optical monitoring for environmental exploration, forecasting and operational prevention of natural and man-made emergencies" 08/01/2019 - 06/30/2021 Project manager.
The project considers the structure of a radio-optical complex for the detection and classification of objects of natural and artificial origin, designed to combine information from two or more systems of various types, in order to increase the accuracy of determining the trajectory parameters of physical objects, as well as the recognition and classification of observed zones. https://rosrid.ru/nioktr/S2RLY9ZE0CEZIDWRXD6UZHAT
4. Committee for Science and Higher Education of the Government of St. Petersburg 2019.
Scientific project: "Development and research of high-precision methods for multi-position ultra-wideband location and classification of objects behind dielectric obstacles" 01/01/2019 - 10/31/2019 Project manager.
5. RFBR grant for the best scientific projects of interdisciplinary fundamental research on the topic "Fundamental problems of managing unmanned vehicles of a "smart city"". Project No. 19-29-06029 MK "Intelligent distributed radar control system for detecting UAVs in dense urban areas" 01.10.2019-08.02.2023. Project executor.
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6. State task of the Ministry of Science and Higher Education of the Russian Federation, grant FSRF-2020-0004 "Scientific foundations for building architectures and communication systems for on-board information and computing systems of a new generation for aviation, space systems and unmanned vehicles." 04/16/2020 - 12/31/2022 Project executor. (More)
Management experience in projects funded by the Russian Science Foundation, etc.:
Project No. 19-79-00303 "Development and study of high-precision methods of multi-position radio-optical monitoring for environmental exploration, forecasting and operational prevention of natural and man-made emergencies."
Project Manager. Period: 07/31/2019-06/30/2021.
(More)
ORCID ID: 0000-0001-5285-2051
Other IDs
Scopus Author ID: 57188553603
ResearcherID: M-3775-2019
E-Library AuthorID: 745612
ORCID ID: 0000-0001-5285-2051
Other IDs
Scopus Author ID: 57188553603
ResearcherID: M-3775-2019
E-Library: AuthorID:745612
HIRSH INDEX:
WOS: 2
Scopus: 9
RSCI: 13
NUMBER OF SCIENTIFIC WORKS
PUBLICATIONS: 50
RID: 30
Monographs: 1
Публикации ВА
List of main publications:
one. Nenashev VA, Shepeta DA Mathematical models and algorithms for modeling the location signals reflected from the underlying surfaces of the earth, sea, and coastal waters, Proc. SPIE Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, Strasbourg, France, 2019, pp. 111501V-1 - 111501V-6. https://doi.org/10.1117/12.2547871
2. Nenashev V. A., Blaunstein N. Sh. Modeling Radio Wave Propagation in an Earth-Atmosphere Channel. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], 2016, no. 6, pp. 25–33 (In Russian). https://doi.org/10.15217/issn1684-8853.2016.6.25
3. Yu. F. Podoplekin, D. A. Shepeta, and V. A. Nenashev, “Modeling of the input signals of an airborne radar caused by the reflections of the probing signal from the underlying surfaces of the earth and the sea,” Morskoi vestnik. 2016. No. 4. pp.69-71.
4. Blaunstein NS, Sergeev MB, Nenashev VA Impact of Built-up Terrain on Operational Parameters of Signals in Land-Satellite Communication Links. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], 2018, no. 1, pp. 74–84. https://doi.org/10.15217/issn1684-8853.2018.1.74
5. Isakov VI, Shepeta DA, Nenashev VA Algorithm for modeling location signals reflected from the edge of various underlying surfaces // XXIII International Conference on Wave Electronics and Infocommunication Systems, 1-5 June 2020, St. Petersburg, Russia, pp.1–4. https://doi.org/10.1109/WECONF48837.2020.9131550
6. Pat. 2703996 RF, IPC G01S 13/90. A method for locating targets in the forward viewing areas of on-board radar stations of a two-position radar system / G.A. Korzhavin, V.A. Nenashev, A.P. Shepeta, Yu.F. Podoplekin, A.G. Davidchuk (RF); applicant and patent holder JSC "Concern "Granit-Electron". No. 2019108828; filed on 26.03.2019; published on 06.05.2019, Bull. No. 13. 8 p.
7. Nenashev V.A., Sentsov AA, Shepeta AP, "Formation of Radar Image the Earth's Surface in the Front Zone Review Two-Position Systems Airborne Radar," 2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), Saint-Petersburg, Russia, 2019, pp. 1-5. http://doi.org/10.1109/weconf.2019.8840641
8. Nenashev VA, Kryachko AF, Shepeta AP, Burylev DA Features of information processing in the onboard two-position small-sized radar based on UAVs, SPIE Future Sensing Technologies, Tokyo, Japan, 2019, pp. 111970X-1-111970X-7. https://doi.org/10.1117/12.2542718
9. V. A. Nenashev, A. P. Shepeta, M. G. Stepanov, N. N. Grigor’eva, and I. A. Yudin, “Modeling the process of forming a high-resolution pseudo-radar image in the front view areas of on-board radars of a two-position system,” Certificate of state registration of the computer program No. 2017617875 RF, publ. 07/14/2017. ROSPATENT.
10. MG Wattimena, VA Nenashev, AA Sentsov and AP Shepeta, "On-Board Unlimited Aircraft Complex of Environmental Monitoring," 2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), St. Petersburg, 2018, pp. 1-5. https://doi.org/10.1109/WECONF.2018.8604382
11. Sergeev MB, Sentsov AA, Nenashev VA, Turnetskaya EL Distributed system of small radars in moving object location and tracing // Procedia Computer Science, 2020, 176, pp. 1713–1721 DOI: 10.1016/j.procs.2020.09.196
12. Shepeta AP, Nenashev VA Accurate Characteristics of Coordinates Determining of Objects in a Two-Position System of Small-Size On-Board Radar. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], 2020, no. 2, pp. 31-36. https://doi.org/10.31799/1684-8853-2020-2-31-36 (Scopus, Q3)
13. Research Report "Search and study of extreme quasi-orthogonal matrices for information processing tasks. Search and classification of symmetric quasi-orthogonal matrices and their application in the problems of processing and transmitting information in open radio channels". State reg. no. AAAA-A17-117042710042-9 / Sergeev MB, Balonin NA, Balonin Yu.N., Vostrikov AA, Nenashev VA, Kurtyanik DV, Sergeev AM, Chernyshev SA, Kapranova EA .. - SPb .: SUAI, 2019. - 111 p.
14. Nenashev VA, Sergeev AM, Kapranova EA Research and Analysis of Autocorrelation Functions of Code Sequences Formed on the Basis of Monocyclic Quasi-Orthogonal Matrices. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], 2018, no. 4, pp. 9–14. https://doi.org/10.31799/1684-8853-2018-4-9-14
15. Ekaterina A. Kapranova, Vadim A. Nenashev, Mikhail B. Sergeev. Compression and coding of images for satellite systems of Earth remote sensing based on quasi-orthogonal matrices // Proc. of SPIE, Image and Signal Processing for Remote Sensing XXIV. Berlin, Germany. 2018 Vol. 10789.PP. 1078923-1 - 1078923-6; https://doi.org/10.1117/12.2324249
16. Sergeev AM, Nenashev VA, Vostrikov AA, Shepeta AP, Kurtyanik DV (2019) Discovering and Analyzing Binary Codes Based on Monocyclic Quasi-Orthogonal Matrices. In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 143. Springer, Singapore, pp 113-123. https://doi.org/10.1007/978-981-13-8303-8_10
17. Sergeev MB, Nenashev VA, Sergeev AM Nested code sequences of Barker-Mersenne-Raghavarao. Informatsionnoupravliaiushchie sistemy [Information and Control Systems], 2019, no. 3, pp. 71–81 (In Russian). doi:10.31799/1684-8853-2019-3-71-81
18. Sergeev A., Sergeev M., Nenashev V., Vostrikov A. (2020) Search and Modification of Code Sequences Based on Circulant Quasi-orthogonal Matrices. In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies. IDT 2020. Smart Innovation, Systems and Technologies, vol 193. Springer, Singapore. https://doi.org/10.1007/978-981-15-5925-9_2019
19. EK Grigoriev, VA Nenashev, AM Sergeev, SA Nenashev. Research and analysis of methods for generating and processing new code structures for the problems of detection, synchronization and noise-resistant coding //Proceedings Volume 11533, Image and Signal Processing for Remote Sensing XXVI; 115331L (20 September 2020) https://doi.org/10.1117/12.2574238
20. Kapranova EA, Nenashev VA, Sergeev AM, Burylev DA, Nenashev SA Distributed matrix methods of compression, masking and noise-resistant image encoding in a high-speed network of information exchange, information processing and aggregation, SPIE Future Sensing Technologies, Tokyo , Japan, 2019, pp. 111970T-1-111970T-7. https://doi.org/10.1117/12.2542677
21. AP Shepeta, AM Makhlin, VA Nenashev and AF Kryachko, "Performance of UWB Signal Detecting Circuits," 2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), St. Petersburg, 2018, pp. 1-4. https://doi.org/10.1109/WECONF.2018.8604440
22. Makhlin A.M., Nenashev V.A., Shepeta A.P. Comparative characteristics of quasi-optimal digital detectors of ultra-wideband signals // In the collection: Wave electronics and its applications in information and telecommunication systems XXI International Youth Conference. 2018. S. 257-264.
23. Makhlin A.M., Nenashev V.A., Shepeta DA UWB pulse signal detection methods // XVI International Forum “Modern information society formation –problems, perspectives innovation approaches”: Proceedings of the Forum. Volume 3. St. Petersburg, 1–5 June / SUAI, SPb., 2015. 16-20 pp.
24. Sorokin AV, Shepeta AP, Nenashev VA, Wattimena GM Comparative characteristics of anti-collision processing of radio signal from identification tags on surface acoustic waves. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], 2019, no. 1, pp. 49–57. https://doi.org/10.31799/1684-8853-2019-1-49-57.
25. Leontiev V.V., Sorokin A.V., Nenashev V.A., Vattimena G.M. The use of acoustoelectronic sensors on SAW in industrial Internet of things systems for monitoring the state of man-made objects // Scientific and practical journal “Modern Science: Actual Problems of Theory and Practice. Series "Natural and technical sciences" 2019. No. 11-2. pp. 61-66.
26. Khanykov IG, Nenashev VA The Application of the High-Speed Pixel Clustering Method in Combining Multi-Angle Images Obtained from Airborne Optical-Location Systems // XXIII International Conference on Wave Electronics and Infocommunication Systems, 1-5 June 2020, St. Petersburg, Russia, pp.1–7. DOI: 10.1109/WECONF48837.2020.9131157
27. Khanykov I.G., Nenashev V.A. A technique for combining multi-angle images based on high-speed quasi-optimal pixel clustering // Modern technologies in control, automation and information processing: collection of articles. tr. XXIX International Scientific-technical Conf., September 14-20, 2020, Alushta. - St. Petersburg: GUAP, 2020. p. 176-177
28. Khanykov I.G., Nenashev V.A. Application of quasi-optimal pixel clustering in the problem of complexing multi-view images Intellectualization of information processing: Abstracts of the 13th International Conference, Moscow, 2020 - Moscow: Russian Academy of Sciences, 2020. - pp. 199-205.
29. Nenashev, VA, Shepeta, AP, Kryachko, AF Fusion radar and optical information in multiposition on-board location systems // XXIII International Conference on Wave Electronics and Infocommunication Systems, 1-5 June 2020, St. Petersburg, Russia, pp.1–5. DOI: 10.1109/WECONF48837.2020.9131451
30. Nenashev VA, Khanykov IG Formation of a complex image of the earth's surface based on clustering of pixels of location images in a multi-position on-board system. Informatics and Automation. 2021 Vol. 20 no. 2.pp. 302-340. https://doi.org/10.15622/ia.2021.20.2.3 (Scopus, Q3)
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