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Doctor of Sciences (Phys. & Math.), Prof.

Leonid B. Sokolinsky

South Ural State University

School of Electronic Engineering and Computer Science
Lenin prospekt 76,
Chelyabinsk 454080, Russia

Phone: +7(351) 272-30-80 .
Leonid.Sokolinsky@susu.ru
http://sok.susu.ru/en


Leonid Sokolinsky is the Head of Computer System department, doctor of sciences (phys. & math.), professor, honorary teacher of higher professional education of Russian Federation.  Leonid Sokolinsky published more than 100 scientific papers. Leonid Sokolinsky is a member of the ACM since 1997. Research interests: artificial intelligence, machine learning, computer vision and audition, parallel computing, database management systems, software for supercomputers, cloud computing, e-learning, mathematical programming.

WoS ResearcherID: E-2421-2013

Scopus ID: 6506818504

ORCID: 0000-0001-9997-3918

ResearchGate: www.researchgate.net/profile/Leonid_Sokolinsky

Academia.edu: susu.academia.edu/Leonid_Sokolinsky


Teaching courses

Selected publications

  1. Sokolinsky L.B., Sokolinskaya I.M. Apex Method: A New Scalable Iterative Method for Linear Programming // Mathematics. 2023. Vol. 11, no. 7. Article number 1654. DOI:10.3390/math11071654. (WOS: 001172897700001 Impact Factor TOP10%, Scopus CiteScore Q1) [Full Text in PDF]

  2. Starkov A.E., Sokolinsky L.B. Building 2D Model of Compound Eye Vision for Machine Learning // Mathematics. 2022. Vol. 10, no. 2. Article number 181. DOI:10.3390/MATH10020181. (WOS:000746391100001 TOP10%, Scopus Q1) [Full Text in PDF]

  3. Olkhovsky N.A., Sokolinsky L.B. Visualizing Multidimensional Linear Programming Problems // Parallel Computational Technologies. PCT 2022. Communications in Computer and Information Science, vol. 1618.  Cham: Springer, 2022. P. 172-196. DOI:10.1007/978-3-031-11623-0_13. (WoS, Scopus CiteScore Q3) [Full Text in PDF]

  4. Sokolinsky L.B., Sokolinskaya I.M. VaLiPro: Linear Programming Validator for Cluster Computing Systems // Supercomputing Frontiers and Innovations. 2021. Vol. 8, No. 3. P. 51-61. DOI:10.14529/jsfi210303. (Scopus CiteScore Q2) [Full Text in PDF]

  5. Sokolinsky L.B. BSF: A parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems // Journal of Parallel and Distributed Computing. 2021. Vol. 149. P. 193-206. DOI:10.1016/j.jpdc.2020.12.009. (WOS:000608915300016 Q1, Scopus Q1) [Full Text in PDF]

Complete List of Publications

List of publications from  Scopus, Web of Science, DBLP, ACM DL, Google Scholar


Last modified: 14.03.24