Mr. Azamat Kakhorov | computing engineering | Best Research Article Award |

Tashkent State University of Economics, Uzbekistan

Professional Profiles:

👨‍🎓 Bio Summary:

Azamat Kakhorov is a Senior Lecturer at Tashkent University of Information Technologies, specializing in fields such as Project Management, Software Engineering, Full-Stack Development, Computer Science, and Artificial Intelligence. With extensive experience in teaching and research, he is also a Doctoral Student at the same institution. His research interests encompass Artificial Intelligence, Natural Language Processing (NLP), and the development of automated systems. Azamat has contributed to the academic and technological fields through his research and collaboration with prestigious organizations like UNESCO.

🎓 Educational Background:

Azamat Kakhorov holds a Master’s Degree in Information Management and Processing from Tashkent University of Information Technologies, awarded in 2012. He also completed his Bachelor’s Degree in Information Technologies from the same institution in 2010. Currently, he is pursuing his Doctorate at Tashkent University of Information Technologies, focusing on advancing his expertise in the areas of AI and NLP.

🔍 Research Focus:

Azamat’s research primarily focuses on the development of intelligent systems, particularly in Natural Language Processing (NLP), which includes syntactic and semantic analysis, as well as the development of software tools for language applications. His work also includes the design and protection of data, AI-based evolutionary classifiers, and the development of verbal communication systems. His research contributes to the advancement of AI applications in various fields, with an emphasis on linguistic processing and automated systems.

🏆 Honors & Awards:

Azamat Kakhorov has received several notable accolades throughout his academic and professional career. Among them is his contribution to the development of software tools for linguistic applications, including NLP-based systems that support the Uzbek language. His work in AI and data protection has gained recognition in various international forums. Additionally, he holds multiple patents for his innovations, including optoelectronic switches, optical signal modulators, and software tools for Uzbek language pronunciation.

💼 Professional Experience:

With over a decade of experience in academia, Azamat Kakhorov has held key roles at Tashkent University of Information Technologies. He served as the Head of the Research Department from 2020 to 2021, leading numerous projects on AI, NLP, and software development. He also worked as the Main Specialist of the Scientific Research Department from 2015 to 2020. Throughout his career, Azamat has collaborated with international organizations like UNESCO and actively contributed to advancing technological research in Central Asia.

📚 Top Noted Publications :

Title: Functional characteristics of a field-effect transistor with a control p-n junction under various switching modes
Authors: OA Abdulkhaev, FA Giyasova, DM Yodgorova, BM Kamanov, AV Karimov
Citations: 8
Index: Physical Surface Engineering
Year: 2012

Title: ‘ZAKI MULOQOT TIZIMLARINI ISHLAB CHIQISH UCHUN NORAVSHAN QOIDALARGA ASOSLANGAN EVOLYUTSION KLASSIFIKATORLARNING QO ‘LLANILISHI
Author: A Kakhorov
Citations: 3
Index: DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, Vol. 1, Issue 2, pp. 108-115
Year: 2023

Title: Determination of the efficiency of voltage limiting of diode structures
Authors: A Rakhmatov, O Abdulkhaev, A Karimov, A Kakhorov, Zh Kalandarov, …
Citations: 3
Index: Components and Technologies, pp. 46-48
Year: 2011

Title: AI-driven environmental communication: translating sustainability reports into Uzbek for global awareness
Authors: A Kakhorov, D Yodgorova, M Khayrullayev
Citations: 1
Index: Economy and Society, pp. 292-301
Year: 2024

Title: NATURAL LANGUAGE PROCESSING (NLP) BASED ON SYNTACTIC AND SEMANTIC ANALYSIS ALSO PART OF SPEECH MARKUP
Author: A Kakhorov
Citations: 1
Index: International Scientific and Practical Conference on Algorithms and Current Problems of Programming, KarGU, Karshi
Year: 2023

Conclusion:

Dr. Kakhorov Azamat Abdulloyevich has an impressive profile characterized by significant academic achievements, innovative patents, and a strong research output. His work in AI and NLP, particularly focusing on linguistic applications for the Uzbek language, is both technically robust and culturally impactful. With strategic efforts to enhance international collaborations and focus on publishing in top-tier journals, he is a strong contender for the Research for Best Research Article Award., innovative therapeutic approaches, and clinical leadership positions her as a trailblazer in her field.

👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Michael Hecht is a distinguished researcher in the field of complex systems, with a unique interdisciplinary approach that integrates mathematics, physics, and computational science. Currently, he leads a Young Investigator Research Group at the CASUS (Center for Advanced Systems Understanding), part of the Helmholtz-Zentrum Dresden-Rossendorf in Görlitz, Germany. Dr. Hecht is also a visiting professor of applied mathematics at the Mathematical Institute at the University of Wrocław, Poland, where he continues to advance scientific understanding in theoretical and applied mathematics.

🎓 Educational Background:

Dr. Hecht’s educational background reflects a deep commitment to mathematics and physics. He completed his studies at the University of Leipzig, earning a diploma with a thesis on subharmonic solutions of Hamilton equations, under the guidance of Prof. Dr. Matthias Schwarz. He then pursued a Ph.D. at the same university in collaboration with the Max Planck Institute for Mathematics, focusing on Hamiltonian dynamics and symplectic geometry, with supervision from Prof. Dr. Matthias Schwarz and Prof. Dr. Alberto Abbondandolo.

🔍 Research Focus:

Dr. Hecht’s research centers on the mathematical foundations of complex system science, emphasizing Hamiltonian dynamics, symplectic geometry, algebraic topology, and computational applications. His work strives to connect abstract mathematical theories with real-world applications in science and engineering. His interdisciplinary projects address problems in machine learning, numerical differential geometry, graph theory, and quantum physics, pushing forward both theoretical innovation and practical implementation.

🏆 Honors & Awards:

Dr. Hecht’s career is marked by notable achievements, reflecting his reputation in the academic community. His appointment as a Young Investigator Research Group Leader at CASUS demonstrates recognition of his research leadership. His work is also widely cited and respected across interdisciplinary fields, marking him as a thought leader in complex systems and applied mathematics.

💼 Professional Experience:

Throughout his career, Dr. Hecht has held prestigious roles that showcase his expertise and versatility. After his Ph.D., he completed a postdoctoral position in the Bioinformatics Group at the University of Leipzig. He then worked as a Research Fellow in the MOSAIC Group at the Technical University of Dresden and the Center for Systems Biology Dresden, focusing on scientific computing for systems biology. Since 2021, he has led his research group at CASUS and holds a visiting professorship at the University of Wrocław.

📚 Top Noted Publications :

Roadmap on Deep Learning for Microscopy
Authors: G. Volpe, C. Wählby, L. Tian, M. Hecht, A. Yakimovich, K. Monakhova, et al.
Source: arXiv
Citations: 18
Year: 2023

Multivariate Interpolation on Unisolvent Nodes—Lifting the Curse of Dimensionality
Authors: M. Hecht, K. Gonciarz, J. Michelfeit, V. Sivkin, I. F. Sbalzarini
Source: arXiv Preprint (arXiv:2010.10824)
Citations: 18
Year: 2020

Fast Interpolation and Fourier Transform in High-Dimensional Spaces
Authors: M. Hecht, I. F. Sbalzarini
Source: Science and Information Conference, pp. 53-75
Citations: 17
Year: 2018

Multivariate Newton Interpolation
Authors: M. Hecht, K. B. Hoffmann, B. L. Cheeseman, I. F. Sbalzarini
Source: arXiv Preprint (arXiv:1812.04256)
Citations: 16
Year: 2018

Extraction of the Frequency Moments of Spectral Densities from Imaginary-Time Correlation Function Data
Authors: T. Dornheim, D. C. Wicaksono, J. E. Suarez-Cardona, P. Tolias, M. P. Böhme, M. Hecht, et al.
Source: Physical Review B, 107(15), 155148
Citations: 15
Year: 2023

Conclusion:

Prof. Dr. Michael Hecht is a strong candidate for the Best Researcher Award. His research demonstrates excellence in mathematics, machine learning, and complex systems, with significant contributions that bridge theoretical and applied sciences. By further enhancing the practical applications of his work and increasing his research visibility in broader scientific and industry-focused communities, Dr. Hecht could become an even more prominent figure in his field.