Mr. Jasur Sevinov | Artificial Intelligence | Best Researcher Award
Head of Department | Tashkent State Technical University | Uzbekistan
Mr. Jasur Sevinov, DSc, is a distinguished academic and researcher in automation, adaptive control systems, and info processing. He has built his career at Tashkent State Technical University, where he has served in progressive academic and leadership roles. Currently, he is the Head of the Department of Info Processing and Management Systems, contributing to the advancement of education, scientific research, and modern automation solutions. His work focuses on synthesizing adaptive control systems and enhancing efficiency in technological processes. He has guided projects, published extensively in international journals, and participated in collaborations across Europe and Central Asia.
Professional Profile
Education
Mr. Jasur Sevinov pursued his full academic journey at Tashkent State Technical University. He earned a bachelor’s degree in automation and control, followed by a master’s degree in production process automation. His postgraduate studies focused on algorithms for synthesizing adaptive control systems, leading to his candidate degree defense in control engineering. He further advanced his expertise with a Doctor of Science degree, specializing in adaptive control systems for technological objects based on identification approaches. Complementing his degrees, he completed professional courses in info systems, technology, and quality management, and participated in training events in Türkiye and Belgium.
Experience
Mr. Jasur Sevinov career at Tashkent State Technical University spans from assistant to senior lecturer, associate professor, and later department head. His leadership as Head of the Department of Info Processing and Management Systems reflects his dedication to academic excellence and innovation. Alongside teaching, he has developed curricula, supervised research projects, and contributed to international scientific collaborations. His expertise extends to creating adaptive control methods for dynamic systems and intelligent info-management systems for industrial production. Active in scientific councils, he evaluates doctoral research and contributes to policy development for higher education, solidifying his reputation as a respected leader.
Research Interests
His research interests lie in adaptive control systems, neural network applications in automation, decentralized control, and intelligent info systems. He is deeply engaged in designing algorithms that address uncertainty in technological processes and developing methods for system identification. His studies often focus on integrating speed gradient approaches and neural networks for advanced control solutions. He also explores real-time industrial process management, aiming to improve automation efficiency in sectors like energy, oil, gas, and production. By linking theory with practical application, his work supports both academic advancements and industrial innovations in adaptive and intelligent control technologies.
Awards
Mr. Jasur Sevinov has received recognition for his contributions to adaptive control theory and its applications in engineering. His doctoral dissertation earned him the prestigious Doctor of Science degree, validating his innovative methods in synthesizing adaptive control systems. He has been awarded leadership positions in scientific councils, reflecting his high standing in the academic community. His role as a committee member in scientific seminars demonstrates his recognition by peers. Beyond formal awards, his achievements are also reflected in his successful international collaborations, completed projects funded by research institutions, and his publications in globally indexed journals.
Top Noted Publications
Title: Algorithms of adaptive identification of uncertain operated objects in dynamical models
Year: 2017
Cited by: 48
Title: Algorithms of Nonparametric Synthesis of Discrete One-Dimensional Controllers
Year: 2020
Cited by: 34
Title: Algorithms for the synthesis of gradient controllers in a nonlinear control system
Year: 2022
Cited by: 32
Title: THE ALGORITHM OF ADAPTIVE ESTIMATION IN THE SYNTHESIS OF THE DYNAMIC OBJECTS CONTROL SYSTEMS
Year: 2020
Cited by: 25
Title: Algorithms for the synthesis of optimal linear-quadratic stationary controllers
Year: 2020
Cited by: 21