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Граничин Олег Николаевич

Ученая степень: доктор физико-математических наук

Ученое звание: профессор

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Образование:

  • 1978-1983: математико-механический факультет ЛГУ.
  • 1983-1985: аспирантура, математико-механический факультет ЛГУ.
  • Тема кандидатской диссертации: «Минимаксное оптимальное и адаптивное управление дискретными объектами» (ЛГУ, октябрь 1985).
  • Тема докторской диссертации: «Рандомизированные алгоритмы оценивания и оптимизации при произвольных помехах» (ИПУ РАН, декабрь 2001).

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Научные интересы: мультиагентное адаптивное управление, интеллектуальные встроенные системы, кластеризация (data mining), общие вопросы теории вычислений, адаптивное и оптимальное управление, рандомизированные алгоритмы многомерного оценивания и оптимизации, идентификация систем, обучающиеся системы, квантовые компьютеры и т. п.

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Учебные курсы:

  • 2009 – 2013:  Стохастическое программирование
  • 2009 – 2013:  Мультиагентные технологии
  • 2009 – 2012:  Data mining;
  • 2002 – 2013:  Квантовые вычисления
  • 2001 – 2009:  Стохастические методы оптимизации в информатике

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Основные публикации:

Изобретения:

  • Берникова О.А., Бояров А.А., Граничин О.Н., Редькин О.И., Сенов А.А. Программа для ЭВМ «Программа для оптического распознавания визуальной текстовой информации на арабском языке». Авторское свидетельства о государственной регистрации № 2013661320 от 18.12.2013.

Монографии, справочные и учебные пособия:

  • Самоорганизация и искусственный интеллект в группах автономных роботов: методология, теория, практика. СПб.: Издательство «ВВМ», 2020. 125 с. (Сергеев С. Ф., Граничин О. Н.)
  • Randomized Algorithms in Automatic Control and Data MiningSpringer. Berlin: Springer, 2015. 251 p. (Granichin O., Zeev V.)
  • Design of the Hybrid Fastest Computers and System Programming. SPb, 2006. (Granichin O.N., Molodtsov S.L)
  • Randomized Algorithms of an Estimation and Optimization Under Almost Arbitrary Noises. Moscow: Nauka, 2003. (Granichin O.N., Polyak B.T. )

Публикации в научных изданиях:

2020

  • A Sequential Subspace Quasi-Newton Method for Large-Scale Convex Optimization // Proceedings of the American Control Conference. 2020. American Control Conference, ACC 2020. Institute of Electrical and Electronics Engineers Inc. P. 3627-3632. 9147989 (Senov, A., Granichin, O. & Granichina, O.)
  • Entropy-based approach for the detection of changes in Arabic newspapers’ content // Entropy. 1 Apr. 2020. 22, 4, 441. (Bernikova O., Granichin O., Lemberg D., Redkin O., Volkovich Z.)
  • Hamiltonian path problem: The performance comparison deoxyribonucleic acid computing and the branch-and-bound method //  Journal of Physics: Conference Series. 2020. 1536, 1, 012003. (Sergeenko A. N., Granichin O. N., Yakunina M. V.)
  • Hamiltonian path problem solution using DNA computing // Cybernetics and Physics. 2020.9, 1, P. 69-74. (Sergeenko A., Yakunina M., Granichin O.)

2019

  • Stochastic Approximation Algorithm with Randomization at the Input for Unsupervised Parameters Estimation of Gaussian Mixture Model with Sparse Parameters // Automation and Remote Control. 2019. Vol. 80. No. 8. P. 1403-1418. (Boiarov A. A., Granichin O. N.)
  • Real-time and multimodal brain slice-to-volume registration using CNN // Expert Systems with Applications. 2019. Vol. 133. P. 86-96. (Chen Z., Xu Z., Yi W., Yang X., Hou W., Ding M., Granichin O.)
  • Математические модели при анализе культурно-исторических и социальных явлений // Инновации и традиции в арабистике и исламоведении: сб. статей в честь профессора Олега Ивановича Редькина / под ред. О.А. Берниковой, А.Д. Кныша. – СПб.: Изд-во С.-Петерб. ун-та, 2019. С. 246-253.

2018

  • Ergatic System of Complex Safety of Subjects of Education // Proceedings of the 2018 IEEE International Conference «Quality Management, Transport and Information Security, Information Technologies», IT and QM and IS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. P. 877-880. (Trapitsin S. Y., Granichina O. A., Granichin O. N., Zharova M. V.)
  • Cluster Degrees of Freedom in Fission of Actinides // FISSION AND PROPERTIES OF NEUTRON-RICH NUCLEI: Proceedings of the Sixth International Conference on ICFN6 . J. H. H. A. V. R. A. P. T. (ed.). Singapore: WORLD SCIENTIFIC PUBL CO PTE LTD, 2018. P. 582-589. (Unzhakova A.V., Khantuleva T.A., Granichin O.N.)
  • Toward Optimal Distributed Node Scheduling in a Multihop Wireless Network Through Local Voting // IEEE Transactions on Wireless Communications. 2018. Vol. 17. No. 1. Р. 400-414. (Vergados D. J., Amelina N., Jiang Y., Kralevska K. Granichin O.)
  • On the Possibility of Using the Method of Sign-Perturbed Sums for the Processing of Dynamic Test Data // Vestnik St. Petersburg University, Mathematics. 2018. Vol. 51. No. 1. P. 23–30. (Volkova M. V., Granichin O. N., Volkov G. A., Petrov Y. V.)
  • Distributed state estimation of moving targets using cyclic simultaneous perturbation stochastic approximation // IFAC-Papers OnLine. 2018. Vol. 51. No. 23. P. 218-223. (Erofeeva V., Granichin O.)
  • Multi-Sensor Task Assignment Using Linear Matrix Inequalities in the Multiple Target Tracking Problem // IFAC-Papers OnLine. 2018. Vol. 51. No. 15. P. 880-885. (Erofeeva V., Granichin O., Granichina O.)
  • Comparison of Multi-Sensor Task Assignment Methods: Linear Matrix Inequalities vs. Brute Force // IFAC-Papers OnLine. 2018. Vol. 51. No. 32. P. 648-653. (Erofeeva V., Granichin O., Leonova A.)
  • Modifying the physical process of ultrasound tomography scanning through compressive sensing // Cybernetics and Physics. 2018. Vol. 7. No. 2. P. 66-71. (Erofeeva V., Granichin O., Senin I.)
  • Social capital of professors as a factor of increasing the effectiveness of the university // Proceedings of the 2018 International Conference «Quality Management, Transport and Information Security, Information Technologies», IT and QM and IS2018. St. Petersburg, 2018. Р. 739-742. (Granichin O., Trapitsin S., Granichina O.)
  • Ergatic system of complex safety of subjects of education // Proceedings of the 2018 International Conference «Quality Management, Transport and Information Security, Information Technologies», IT and QM and IS2018. St. Petersburg, 2018. Р. 1-4. (Granichin O., Trapitsin S., Granichina O., Zharova M.)
  • Evolution of clusters in large-scale dynamical networks |// Cybernetics and Physics. 2018. Vol. 7. No. 3. P. 102-129. (Proskurnikov A. V.,Granichin O. N.)
  • Patterning of writing style evolution by means of dynamic similarity // Pattern Recognition. 2018. Vol. 77. P. 45-64. (Amelin K., Granichin O., Kizhaeva N., Volkovich Z.)
  • Adjustment of Consensus Protocol Step-Size in a Network System with Different Task Priorities via SPSA-like Algorithm under the Cost Constraints // IFAC-Papers OnLine. 2018. Vol. 51. No. 23. P. 100-105. (Amelina N., Granichin O., Granichina O., Ivanskiy Y., Jiang Y.)
  • Satisfying the Cost Constraints in a Network System Operating by the Consensus Protocol with Different Task Priorities // IFAC-PapersOnLine. 2018. Vol. 51. No. 32. P. 367-372. (Amelina N., Granichin O., Granichina O., Ivanskiy Y., Jiang, Y.)

2017

  • Cluster degrees of freedom in fission of actinides // In: Fission and Properties of Neutron-Rich Nuclei, eds. J H Hamilton, A V Ramayya, and P Talou, In: Proceedings of the Sixth International Conference on Fission and Properties of Neutron-Rich Nuclei (ICFN6), Florida, USA, 6 – 12 November 2016, 2017, pp. 582-589. (Unzhakova A.V., Khantuleva T.A., Granichin O.N.)
  • Local voting: optimal distributed node scheduling algorithm for multihop wireless networks // In: 2017INFOCOM-Workshop-Proceedings, Atlanta, GA, USA, 1-4 May 2017, 2017, pp. 931-932. (Vergados D.J., Amelina N., Jiang Y., Kralevska K., Granichin O.)
  • Projective approximation based gradient descent modification // IFAC-PapersOnLine, Vol. 50, Is. 1, 2017, pp.3899-3904 (Proc. of the 20th World Congress of the International Federation of Automatic Control, Toulouse, France, 9-14 July 2017, pp.3950-3955). (Senov A., Granichin O.)
  • Spectral profiling of writing process // In: Proc. of the 2017 IEEE Conference on Control Technology and Applications. August 27-30, 2017, Coast, Hawaii, USA, pp. 2063-2068. (Kizhaeva N., Volkovich Z., Granichin O., Granichina O., Kiyaev V.)
  • Hou Wenguang Simultaneous perturbation stochastic approximation for clustering of a Gaussian Mixture Model under unknown but bounded disturbances // In: Proc. of the 2017 IEEE Conference on Control Technology and Applications. August 27-30, 2017, Coast, Hawaii, USA, pp. 1740-1745. (Boiarov A., Granichin O.)
  • Yuchi Ming Online parameter estimation for MPC model uncertainties based on LSCR approach // In: Proc. of the 2017 IEEE Conference on Control Technology and Applications. August 27-30, 2017, Coast, Hawaii, USA, pp. 1256-1261. (Kalmuk A., Tyushev K., Granichin O.)
  • Sign-perturbed sums approach for data treatment of dynamic fracture tests // In: Proc. of the 56th IEEE Conference on Decision and Control, December 12-15, 2017, Melbourne, Australia. (Volkova M., Granichin O., Petrov Yu., Volkov G.)
  • Towards optimal distributed node scheduling in a multihop wireless network through Local Voting // IEEE Transactions on Wireless Communications, 2017. (Vergados D.J., Amelina N., Jiang Y., Kralevska K., Granichin O.)

2016

  • Modeling and visualization of media in Arabic // Journal of Informetrics. Volume 10, Issue 2, May 2016, pages 439–453. (Volkovich Z., Granichin O., Redkin O., Bernikova O.)
  •  Randomized control strategies under arbitrary external noise // IEEE Transactions on Automatic Control, 2016. Vol. 61, issue 5, pp. 1328-1333. (Amelin K., Granichin O.)
  • Literary writing style recognition via a minimal spanning tree-based approach // Expert Systems With Applications, vol. 61, Nov., 2016, pp. 145–153. (Shalymov D., Granichin O., Klebanov L., Volkovich Z.)
  • Detection of abrupt changes in autonomous system fault analysis using spatial adaptive estimation of nonparametric regression // In: Proc. of the 2016 American Control Conference, July 6-8, 2016, Boston, USA, pp. 6839-6844. (Kalmuk A., Granichin O., Granichina O., Ding M.)
  • A dynamic threshold based algorithm for change detection in autonomous systems // IFAC-PapersOnLine, Volume 49, Issue 13, 2016, pp. 141-145 (Proc. of the 12nd IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, June 29–July 1, 2016 Eindhoven, The Netherlands). (Kalmuk A., Granichin O., Granichina O., Ding M.)
  • Using stochastic approximation type algorithm for choice of consensus protocol step-size in changing conditions // IFAC-PapersOnLine, Volume 49, Issue 13, 2016, pp. 265-269 (Proc. of the 12nd IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, June 29–July 1, 2016 Eindhoven, The Netherlands). (Amelina N., Granichin O., Granichina O., Ivanskiy, Y., Jiang Y.)
  • A new randomized algorithm for community detection in large networks // IFAC-PapersOnLine, Volume 49, Issue 13, 2016, pp. 31-35 (Proc. of the 12nd IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, June 29–July 1, 2016 Eindhoven, The Netherlands). (Kirianovskii I., Granichin O., Proskurnikov A.)
  • Randomized algorithms with adaptive tuning of parameters for detecting communities in graphs // In: Proc. of the 55th IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, December 12-14, 2016. (Amelina N., Granichin O., Granichina O., Kirianovskii I., Prodanov Т.)
  • Estimating the position of a moving object based on test disturbance of camera position // Automation and Remote Control, 2016. Vol. 77, No. 2, pp. 297–312. (Krivokon’ D.S., Vakhitov A.T., Granichin O.N.)

2015

  • Simultaneous Perturbation Stochastic Approximation for Tracking under Unknown but Bounded Disturbances // IEEE Transactions on Automatic Control, vol. 60, issue 6, June 2015, pp. 1653-1658. (Granichin O., Amelina N.)
  • Randomized control strategies under arbitrary external noise // IEEE Transactions on Automatic Control, vol. PP, issue 99, 2015. (Granichin O., Amelin K.)
  • Studying of KNN Two-Sample Test Approach Applications for Writing Style Comparison of English and Russian Text Collections // Proceedings of the AINL-ISMW FRUCT, Saint-Petersburg, Russia, 9-14 November 2015, ITMO University, FRUCT Oy, Finland, pp. 163-166. (Kizhaeva N., Shalymov D., Granichin O., Volkovich Z.)
  • Stochastic approximation search algorithms with randomization at the input // Automation and Remote Control, 2015. Vol. 76, No. 5, pp. 761-774.
  • Application of scenario approach to optimal choice of feedback coefficients in trading strategy using pi-controller // In: Advances in Intelligent Systems and Computing. Vol. 362, 2015, P. 991-998 (Proc. of the 9th International Conference on Management Science and Engineering Management, ICMSEM 2015; Karlsruhe; Germany; 21 July 2015 through 23 July 2015). (Granichin O., Kornivetc A.)
  • Local voting protocol for differentiated consensuses in a stochastic network with priorities // In: Proc. of 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, June 24-26, 2015, Saint Petersburg, Russia. pp. 964-969. (Granichin O., Amelina N., Granichina O., Ivanskiy Y., Jiang Y.)
  • Randomized stochastic approximation under unknown but bounded external noise and it’s application to a control of educational processes // In: Proc. of 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, June 24-26, 2015, Saint Petersburg, Russia. pp. 388-393. (Granichin O., Granichina O., Trapitsin S.)
  • Simultaneous perturbation stochastic approximation in decentralized load balancing problem // In: Proc. of 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, June 24-26, 2015, Saint Petersburg, Russia. pp. 946-951. (Granichin O., Amelina N., Erofeeva V., Malkovskii N.)
  • Authorship attribution method based on KNN re-sampling approach // In: Proc. of the 57th IEEE International Symposium ELMAR-2015 (ELMAR-2015), Zadar, Croatia, 28-30 Sept. 2015. (Granichin O., Shalymov D., Klebanov L., Volkovich Z.)
  • Writing style determination using the KNN text model  // In: Proc. of the 2015 IEEE International Symposium on Intelligent Control, September 21-23, 2015, Sydney, Australia, pp. 900-905. (Granichin O.,Kizhaeva N., Shalymov D., Volkovich Z.)
  • Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with cost constraints  // In: Proc. of the 2015 IEEE Conference on Control Applications, September 21-23, 2015, Sydney, Australia, pp. 1367-1372. (Granichin O.,Ivanskiy, Y., Amelina N., Granichina O., Jiang Y.)
  • Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities // In: Proc. of 14th European Control Conference (ECC), Linz, Austria, July 15-17, 2015. pp. 628-633. (Granichin O.,Ivanskiy, Y., Amelina N., Granichina O., Jiang Y.)

2014

  • Exact confidence regions for linear regression parameter under external arbitrary noise // In: Proc. of the 2014 American Control Conference (ACC), Portland, USA, 4-6 June, 2014. Р. 5097-5102. (Senov A., Amelin K., Amelina N., Granichin O.)
  • Simultaneous Perturbation Stochastic Approximation for Tracking under Unknown but Bounded Disturbances // IEEE Transactions on Automatic Control. 2014, Vol. 60, issue 6, pp. 1653 — 1658. (Granichin O., Amelina N.)
  • Differentiated consensuses in decentralized load balancing problem with randomized topology, noise, and delays // In: Proc. of the 53st IEEE Conference on Decision and Control, Los Angeles, California, USA, December 15-17, 2014. (Amelina N., Granichin O., Jiang Y.)
  • Randomized stochastic approximation algorithms // In: Proc. of 13th European Control Conference (ECC), 24-27 June, 2014, Strasbourg, France. pp. 2827-2832. (Amelin K., Granichin O., Granichina O.)
  • Differentiated consensuses in a stochastic network with priorities // In: Proc. of the 2014 IEEE International Symposium on Intelligent Control, Antibes, France, October 8-10, 2014. (Amelina N., Granichin O., Granichina O., Ivanskiy, Y., Jiang Y.)