Prof. Zhumadil Baigunchekov | Robotics and Automation | Best Researcher Award

Prof. Zhumadil Baigunchekov | Robotics and Automation | Best Researcher Award

Professor | Al-Farabi Kazakh National University | Kazakhstan

Prof. Zhumadil Baigunchekov is a globally recognized authority in Robotics and Automation, with sustained contributions that have shaped advanced research and innovation in Robotics and Automation. His expertise spans theoretical foundations and applied solutions in Robotics and Automation, particularly in mechanism design, mechatronic systems, and intelligent robotic manipulators, strengthening the scientific depth of Robotics and Automation. He has authored over 400 scholarly publications, including high impact articles, monographs, and patents, reflecting exceptional productivity and leadership in Robotics and Automation research. His work in Robotics and Automation has fostered strong international collaborations with leading researchers and institutions, advancing interdisciplinary progress in Robotics and Automation and supporting technology driven societal development. Through mentoring doctoral and postgraduate researchers, he has significantly expanded human capital in Robotics and Automation, ensuring long term academic and industrial impact. His research outcomes in Robotics and Automation contribute to automation efficiency, precision engineering, and sustainable technological solutions, reinforcing the global relevance of Robotics and Automation. Google Scholar profile of 128 Citations, 7 h-index, 3 i10 index.

Citation Metrics (Scopus)

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Citations

128

h-index

7

i10-index

3

Citations

i10-index

h-index

Featured Publications


Direct kinematics of a 3-PRRS type parallel manipulator

International Journal of Mechanical Engineering and Robotics Research, 2020
Cited by 16


Inverse kinematics of six-DOF three-limbed parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2016
Cited by 14


Parallel manipulator of a class RoboMech

Mechanism and Machine Science (Springer), 2016
Cited by 13


Geometry and inverse kinematics of 3-PRRS type parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2019
Cited by 9


Inverse kinematics of a 3-PRPS type parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2020
Cited by 8

Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

 Professor | Nigde Omer Halisdemir University | Turkey

Prof. Dr. Murat Barut, a distinguished Professor in Electrical and Electronics Engineering, has made significant contributions in the field of Motor Control, integrating advanced estimation techniques, artificial intelligence, and control algorithms into electrical drive systems. His educational background spans from Electronics Engineering at Erciyes University to dual doctorates in Control and Computer Engineering and Electric and Computer Engineering from prestigious universities in Türkiye and the USA. His professional journey includes academic and research roles at Nigde University, Istanbul Technical University, and the University of Alaska Fairbanks, where he focused extensively on Motor Control applications for induction and synchronous machines. Prof. Dr. Murat Barut’s research interests center on speed-sensorless estimation, position-sensorless operation, Extended Kalman Filter design, artificial intelligence-based modeling, and high-performance Motor Control systems. He has led and participated in multiple funded projects dedicated to real-time Motor Control algorithm development and FPGA implementations. Recognized with honors such as the Siemens Excellence Award and the Most Influential Scientist Award, he continues to advance Motor Control research with innovative methodologies. His professional skills encompass estimation theory, adaptive control, power electronics, and signal processing — all directed toward efficient Motor Control of electrical drives. Prof. Dr. Murat Barut has contributed as a reviewer and editor in various IEEE and SCI-indexed journals, reinforcing his reputation in the global Motor Control community. His career exemplifies excellence in engineering education, innovation, and leadership, with a strong record of scholarly impact demonstrated through a Google Scholar profile of 2011 citations, 20 h-index, and 27 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Barut, M., Bogosyan, S., & Gokasan, M. (2007). Speed-sensorless estimation for induction motors using extended Kalman filters. IEEE Transactions on Industrial Electronics, 54(1), 272–280.

2. Barut, M., Bogosyan, S., & Gokasan, M. (2008). Experimental evaluation of braided EKF for sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 55(2), 620–632.

3. Zerdali, E., & Barut, M. (2017). The comparisons of optimized extended Kalman filters for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 64(6), 4340–4351.

4. Barut, M., Demir, R., Zerdali, E., & Inan, R. (2011). Real-time implementation of bi input-extended Kalman filter-based estimator for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 59(11), 4197–4206.

5. Yildiz, R., Barut, M., & Zerdali, E. (2020). A comprehensive comparison of extended and unscented Kalman filters for speed-sensorless control applications of induction motors. IEEE Transactions on Industrial Informatics, 16(10), 6423–6432.*