ISROIL IBRAGIMOVICH JUMANOV
HIGHLY QUALIFIED LEADING SPECIALIST IN SYSTEMATIC ANALYSIS, MANAGEMENT, AND INFORMATION PROCESSING
JUMANOV ISROIL IBRAGIMOVICH
Doctor of Technical Sciences, Professor
Research field:
Automated management systems, information systems and technologies, intellectual and corporate information technologies.
Key results of scientific research
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Development of theories, methods, models, and algorithms for enhancing the security and reliability of information in modern telecommunication systems by utilizing natural redundancy in the information content based on the concepts of systematic analysis, management, and information processing theories.
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Development of theories, methods, models, and algorithms for ensuring the reliability and security of information transmitted in electronic document systems, based on logical, structural, and informational redundancy in the information content.
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Development of theories, methods, models, and algorithms for optimal information processing in economic and organizational systems, utilizing various properties and classifications of information content.
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Development of theories, methods, models, and algorithms for the identification, recognition, and classification of micro-object images in palynology, ecology, medicine, and other research areas, using structural redundancy
Key scientific publication
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Jumanov, I.I., Djumanov, O.I., Safarov, R.A. Methodology of Optimization of Identification of the Contour and Brightness-Color Picture of Images of Micro-Objects // International Russian Automation Conference, RusAutoCon 2021, 2021, pp. 190–195. DOI: 10.1109/RusAutoCon52004.2021.9537567
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Isroil Jumanov, Rustam Safarov. Optimization of the Processing of Images of Pollen Grains Based on the Use of Their Specific Characteristics and Geometric Features // AIP Conference Proceedings 2637, 040016 (2022). https://doi.org/10.1063/5.0118857
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I.I. Jumanov, O.I. Djumanov, R.A. Safarov. Recognition of Micro-Objects with Adaptive Models of Image Processing in a Parallel Computing Environment // XIV International Scientific and Technical Conference "Applied Mechanics and Systems Dynamics" (AMSD) // Journal of Physics: Conference Series, Vol. 1791. November 2020, Omsk, Russian Federation. DOI: 10.1088/1742-6596/1791/1/012099
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Jumanov, I.I., Djumanov, O.I., Safarov, R.A. Optimization of Identification of Images of Micro-Objects Taking into Account Systematic Error Based on Neural Networks // International Russian Automation Conference, RusAutoCon 2020, 2020, pp. 626–631. DOI: 10.1109/RusAutoCon49822.2020.9208164
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Jumanov, I.I., Djumanov, O.I., Safarov, R.A. Mechanisms for Optimizing the Error Control of Micro-Object Images Based on Hybrid Neural Network Models // AIP Conference Proceedings, 2021, 2402, 030018. https://doi.org/10.1063/5.0074019
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Ibragimovich, J.I., Isroilovich, D.O., Abdullayevich, S.R. Optimization of Identification of Micro-Objects Based on the Use of Characteristics of Images and Properties of Models // 2020 International Conference on Information Science and Communications Technologies, ICISCT 2020, 2020. DOI: 10.1109/ICISCT50599.2020.9351483
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Ibragimovich, J.I., Isroilovich, D.O., Abdullayevich, S.R. Recognition and Classification of Pollen Grains Based on the Use of Statistical, Dynamic Image Characteristics, and Unique Properties of Neural Networks // Advances in Intelligent Systems and Computing, 2021, 1323 AISC, pp. 170–179. https://doi.org/10.1007/978-3-030-68004-6_22
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Isroil Jumanov, Olim Djumanov, Rustam Safarov // 2nd International Conference on Energetics, Civil and Agricultural Engineering // E3S Web Conf. Vol. 304, 01007, 2021. DOI: https://doi.org/10.1051/e3sconf/202130401007
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Jumanov, I.I., Safarov, R.A., Djumanov, O.I. Mechanisms for Using Image Properties and Neural Networks in Identification of Micro-Objects // The 16th IEEE International Conference // Application of Information and Communication Technologies // 12-14 Oct 2022 | Washington DC. DOI: 10.1109/AICT55583.2022.10013633
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Isroil I. Jumanov, Rustam A. Safarov. Improving the Efficiency of Recognition of Micro-Objects Based on the Use of Redundant Information Structures of Images // AIP Conference Proceedings 2700, 040022 (2023). https://doi.org/10.1063/5.0124901