Dr. Nurbek Konyrbayev, Korkyt Ata University, Kazakhstan.
Nurbek Berkinbaiuly Konyrbayev is a highly skilled Ph.D. holder in Engineering Science from the Moscow Aviation Institute, specializing in control system synthesis and intelligent control systems 
. With extensive expertise in robotics, computational methods, and programming, he serves as the head of the Computer Science department at Kyzylorda State University 
. His contributions to international projects and numerous publications showcase his dedication to advancing robotic systems and machine learning 
. Nurbek is passionate about research and teaching, striving to innovate in the field of automation and artificial intelligence 
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Professional Profile:
Orcid
Education and Experience:
Ph.D. in Engineering Science: Moscow Aviation Institute, 2018- Master’s in Information Systems: Kyzylorda State University, 2010
- Bachelor’s in Computing and Software: Kyzylorda State University
- Lecturer: Kyzylorda State University, 2011–2012
Department Head, Computer Science: Kyzylorda State University, 2019–Present- Technician and Assistant: Peoples’ Friendship University of Russia, 2017–2019
System Administrator: Regional TV channel “Kazakhstan-Kyzylorda,” 2008–2011
Suitability for Best Researcher Award:
Dr. Nurbek Konyrbayev is a highly qualified candidate for the Best Researcher Award, showcasing a distinguished career in engineering sciences, particularly in the field of computational methods for control systems, intelligent control system synthesis, and robotics. His extensive academic background, professional experience, and numerous publications demonstrate his deep expertise and active contribution to his field.
Professional Development:
Nurbek Konyrbayev has continuously developed his technical and professional skills through various certifications and internships 
. He completed specialized courses in programming at Moscow State Technical University and holds certifications in Python programming and cybersecurity from Coursera 
. His involvement in international projects such as “GeKaVoc” and machine learning research reflects his dedication to staying at the forefront of technological advancements 
. His expertise in programming, control systems, and robotics ensures he contributes to cutting-edge research and innovation within his field 
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Research Focus:
Nurbek’s research primarily revolves around computational methods for control systems, robotic automation, and intelligent systems 
. He has a deep interest in evolutionary computational methods, such as genetic programming and variational analytic programming . His work addresses challenges in synthesizing optimal control for robotic systems and motion trajectories, contributing to the development of advanced artificial intelligence techniques for automated systems . Nurbek’s innovative approaches enhance the efficiency of control systems in various types of robots, making his research crucial to robotics and automation 
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Awards and Honors:
“Best Teacher” of Korkyt Ata KSU, 2021- “Best Graduate” of Korkyt Ata KSU, 2020
Publication top Notes:
- “System Synthesis for Motion along a Preset Trajectory and Its Solution by Symbolic Regression” (2024) – Cited by: TBD
- “Evolutional Methods for Creating Artificial Intelligence of Robotic Technical Systems” (2019) – Cited by: 8
- “Synthesis of Control for Group of Quadrotors in Task of Area Monitoring” (2019) – Cited by: 7
- “Method of Binary Analytic Programming to Look for Optimal Mathematical Expression” (2017) – Cited by: 6
- “Variational Analytic Programming for Synthesis of Optimal Control for Flying Robot” (2015) – Cited by: 10
- “Variational Genetic Programming for Optimal Control System Synthesis of Mobile Robots” (2015) – Cited by: 5