Dr. Mikhail Zymbler: homepage русская версия
Short bio
- Mikhail Zymbler is Deputy Head of the Scientific Educational Center "AI and Quantum Technologies" and Professor in the Department of System ProgrammingRU of the School of Electronic Engineering and Computer Science, South Ural State University, Chelyabinsk, Russia
- Doctor of Sciences (Phys. & Math.) (since 2020), Associate Professor (since 2002). Major scientific publications and talksRU.Supervised by three Candidates of SciencesRU
- Honorary Education Worker of the Russian Federation (since 2020)
- Scientific IDs: Scopus ID 55841425200, WoS Researcher ID L-2224-2013, ORCID 0000-0001-7491-8656, Google Academia, ResearchGate, Academia.edu
Research scope
- Machine Learning and Data Mining
- Parallel algorithms of time series data mining
- Parallel database systems
Selected publications
- Zymbler M., Goglachev A. PaSTiLa: Scalable Parallel Algorithm for Unsupervised Labeling of Long Time Series // Lobachevskii Journal of Mathematics. 2024. Vol. 45, No. 3. P. 1333–1347. PDF DOI: 10.1134/S1995080224600766 WOS:001272973100030 Scopus
- Zymbler M., Kraeva Y. High-Performance Time Series Anomaly Discovery on Graphics Processors // Mathematics. 2023. Vol. 11, No. 14. Article 3193. PDF DOI: 10.3390/math11143193 WOS:001039018700001 Scopus
- Zymbler M., Goglachev A. Fast Summarization of Long Time Series with Graphics Processor. Mathematics. 2022. Vol. 10, No. 10. Article 1781. PDF DOI: 10.3390/math10101781 WOS:000801317400001 Scopus
- Zymbler M., Ivanova E. Matrix Profile-Based Approach to Industrial Sensor Data Analysis Inside RDBMS. Mathematics. 2021. Vol. 9, No. 17. Article 2146. PDF DOI: 10.3390/math9172146 WOS:000694382500001 Scopus
- Zymbler M., Kraeva Ya. Discovery of Time Series Motifs on Intel Many-Core Systems. Lobachevskii Journal of Mathematics. 2019. Vol. 40, No. 12. P. 2124–2132. PDF WOS:000514534200013 Scopus DOI: 10.1134/S199508021912014X
- Complete list
- List of publications indexed by Web of Science, Scopus, DBLP, IEEE, Google Academia
Selected talks
- Leveraging behavioral patterns for anomaly detection and event prediction in time series. DAMDID/RCDL’2024: XXVI International Conference on Data Analytics and Management in Data Intensive Domains (23–25 October 2024, Nizhny Novgorod, Russia). PDF
- Discord discovery in time series. DAMDID/RCDL’2023: XXV International Conference on Data Analytics and Management in Data Intensive Domains (24–27 October 2023, Moscow, Russia). PDF
- Big Data Processing and Analytics Inside DBMS. DAMDID/RCDL’2019, XXI International Conference on Data Analytics and Management in Data Intensive Domains (Kazan, Russia, October 16–18, 2019). PDF
- Use of Deep Learning for Sticker Detection During Continuous Casting. 2018 Global Smart Industry Conference, GloSIC 2018, (Chelyabinsk, Russia, November 13–15, 2018). PDF
- Complete listRU
Modified: 27.10.2024, © Mikhail Zymbler