Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

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Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Dr. Aleksander Yurov | Don State Technical University | Russia

Prof. Aleksander Yurov is the Head of the Department of Digital Technologies and Platforms in the Electric Power Industry at Don State Technical University, leading multiple high-impact research and innovation initiatives. He serves as the principal executor of grants from the Russian Science Foundation and the Foundation for the Promotion of Innovation, working on programs such as START, DevelopmentNTI/Energynet, CODE-Digital Technologies, and Export, with a focus on “Resource-saving Energy” and “New Devices and Intelligent Production Technologies.” His research encompasses diagnostics of power cable lines, devices and methods for detecting damage to overhead lines, relay protection and emergency automation, and monitoring and analysis of insulation materials in distribution networks. Yurov has published over 60 scientific articles, holds four utility model patents, eight computer certificates, and has authored six textbooks, demonstrating a robust commitment to both academic scholarship and applied innovation. His completed and ongoing projects include a Russian Science Foundation grant on the vibrational-wave phenomena affecting dielectric composition and residual insulation life in power transmission lines, as well as projects on adaptive high-voltage power supply technology for intelligent diagnostic systems and the deployment of software-hardware complexes for distribution network diagnostics in international markets. He has actively contributed to consultancy and industry projects, totaling five, strengthening the bridge between research, practical implementation, and technological advancement in the electric power sector.

Profile: Scopus | Orcid

Featured Publications

  • Yurov, A. A. (2023). Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions. Electrical Stations.

  • Yurov, A. A. (2021). Determining the mode of operation of the system section, taking into account the current topology and predictive analysis of the active-adaptive network of 6-10 kV. Conference Paper.

  • Yurov, A. A. (2021). High-voltage smart electricity metering of 110 kV digital electric networks. Conference Paper.

  • Yurov, A. A., & Voronov, A. S. (2021). Improving the efficiency of technical means and methods for diagnostics of isolation of high-voltage distribution networks. IOP Conference Series: Materials Science and Engineering, 1029(1), 012038.

  • Yurov, A. A., Minkin, M. S., & Kuimov, D. N. (2021). Schemes of high-voltage rectifiers as part of dust removal electric gates. IOP Conference Series: Materials Science and Engineering, 1029(1), 012044.

 

Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

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Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

Dr. Xiuyun Zhang | Tianjin University of Technology and Education | China

Dr. Xiuyun Zhang is a lecturer and researcher specializing in motor systems and their control, with a particular emphasis on multi-motor collaborative control. Her teaching covers theoretical foundations such as circuit principles and automatic control principles, while her research explores torque coordination in large-load drives, speed coordination in industrial applications, and position coordination and contour control in high-precision CNC machining. She has published over 20 SCI/EI indexed papers and more than 10 journal publications, with a record of 972 citations from 914 documents, 94 published works, and an h-index of 16. Her innovative contributions are reflected in 16 granted or filed patents, including invention and utility model patents. As a project leader, she has directed research supported by the Tianjin Natural Science Foundation Youth Project, the Tianjin Higher Education Science and Technology Development Fund, an invention patent conversion initiative, and several horizontal projects, while also contributing as a main researcher to a National Natural Science Foundation general project. With more than five completed or ongoing research projects, her work focuses on developing predictive and interactive control strategies that use speed and current as internal system variables, aiming to improve collaborative control accuracy and dynamic response in advanced motor applications.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Zhang, R., Zong, Q., Zhang, X., Dou, L., & Tian, B. (2022). Game of drones: Multi-UAV pursuit-evasion game with online motion planning by deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7900–7909.

  • Wang, D., Zong, Q., Tian, B., Shao, S., Zhang, X., & Zhao, X. (2018). Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters. ISA Transactions, 73, 208–226.

  • Dou, L., Cai, S., Zhang, X., Su, X., & Zhang, R. (2022). Event-triggered-based adaptive dynamic programming for distributed formation control of multi-UAV. Journal of the Franklin Institute, 359(8), 3671–3691.

  • Liu, D., Dou, L., Zhang, R., Zhang, X., & Zong, Q. (2022). Multi-agent reinforcement learning-based coordinated dynamic task allocation for heterogeneous UAVs. IEEE Transactions on Vehicular Technology, 72(4), 4372–4383.

  • Ye, L., Zong, Q., Tian, B., Zhang, X., & Wang, F. (2017). Control-oriented modeling and adaptive backstepping control for a nonminimum phase hypersonic vehicle. ISA Transactions, 70, 161–172.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Finite-time attitude maneuvering and vibration suppression of flexible spacecraft. Journal of the Franklin Institute, 357(16), 11604–11628.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Improved finite-time command filtered backstepping fault-tolerant control for flexible hypersonic vehicle. Journal of the Franklin Institute, 357(13), 8543–8565.

 

 

Ms. Zhouhong Dai |Robotics | Best Scholar Award

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Ms. Zhouhong Dai |Robotics | Best Scholar Award 

Ms. Zhouhong Dai , Tianjin University of Science and Technology , China.

Ms. Zhouhong Dai 🎓 is a dynamic academic and researcher currently serving as a Supervisor of the Master’s Degree Program at Tianjin University of Science and Technology 🏫. With a strong background in Mechatronic Engineering and Mechanical Design ⚙️, he focuses on robotics, compliant control systems, and humanoid mechanisms 🤖. He has contributed significantly to both theoretical and applied aspects of mechanical engineering through impactful publications and patented innovations 📚🧠. His ongoing research supports advancements in aerospace assembly and intelligent robotic systems 🚀. Dr. Dai is recognized for blending academic depth with real-world industrial relevance 🏆.

Professional Profile

Scopus
Orcid

Education & Experience

🎓 Education:

  • 📅 Sep 2012 – Jun 2018: Ph.D. (Integrated Master’s & Doctoral Program), Mechatronic Engineering, Yanshan University

  • 🎓 Sep 2008 – Jul 2012: B.E., Mechanical Design, Manufacturing & Automation, Yanshan University

🧑‍🏫 Experience:

  • 🏫 Aug 2018 – Present: Lecturer, School of Mechanical Engineering, Tianjin University of Science and Technology

Suitability Summary

Ms. Zhouhong Dai, a forward-thinking academician and Supervisor of Master’s Degree Program at Tianjin University of Science and Technology, is a premier nominee for the Best Scholar Award. With a strong academic foundation from YanShan University and a specialization in mechatronic engineering, Dr. Dai has consistently demonstrated intellectual excellence and innovation throughout his career. His selection for the Best Scholar Award is supported by his groundbreaking research in robotic manipulation, aerospace control systems, and flexible actuator technologies. Dr. Dai has led multiple nationally recognized research projects,

Professional Development 

Ms. Dai continually enhances his academic and professional profile through collaborative research projects 🔬, industry partnerships 🤝, and academic publishing 📝. He has participated in major consultancy and control system projects for aerospace lifting operations and intelligent robotics 🚀🤖. With several SCI-indexed journal papers and innovation patents under his name 📘📈, he maintains a strong presence in the robotics and mechatronics research community. His commitment to both academia and industry ensures his contributions are both innovative and practical 🌍💡. As a mentor and supervisor, he actively supports the next generation of engineering leaders 👨‍🏫👩‍🔬.

Research Focus 

 Dai’s research primarily focuses on robotics, mechatronics, and aerospace systems 🤖🚀. His work encompasses compliant control, robotic manipulators, kinematic modeling, and stiffness analysis of hybrid serial-parallel systems 🔧📐. He is particularly interested in robotic arms with flexible actuation, precision positioning technologies, and automated spacecraft assembly 🛰️. Through a blend of theoretical modeling and practical implementation, his studies bridge academic knowledge with aerospace and industrial engineering applications 🌐⚙️. His research aims to enhance robotic intelligence, adaptability, and safety in complex environments, contributing to smarter, more efficient automation solutions 🤓💼.

Awards & Honors 

🏆 Awards & Honors:

  • 🏅 Recognized for multiple SCI-indexed journal publications

  • 🧠 Holder of innovative patents in robotic control systems

  • 📊 Contributed to nationally significant research projects in aerospace and intelligent robotics

  • 🎓 Appointed as Supervisor of the Master’s Program for academic excellence

  • 📈 Regular contributor to high-impact research journals and academic conferences

Publication Top Details

🛰️ 1. Analysis of Kinematics and Leveling Performance of a Novel Cable-Driven Parallel Automatic Leveling Robot for Spacecraft Hoisting

  • 📅 Published: June 10, 2025

  • 📘 Journal: Aerospace

  • 🔗 DOI: 10.3390/aerospace12060521

  • 👥 Authors: Zhuohong Dai, Nan Liu, Tengfei Huang, Xiangfu Meng, Weikang Lv, Ran Chen

📄 2. Analysis of Kinematics and Leveling Performance of a Novel Cable-Driven Parallel Automatic Leveling Robot for Spacecraft Hoisting (Preprint)
🤖 3. Precise Stiffness and Elastic Deformations of Serial–Parallel Manipulators by Considering Inertial Wrench of Moving Links

  • 📅 Published: December 2020

  • 📘 Journal: Robotica

  • 🔗 DOI: 10.1017/S0263574720000041

  • 👥 Authors: Yi Lu, Zhuohong Dai, Yang Lu

🧮 4. Full Forward Kinematics of Redundant Kinematic Hybrid Manipulator

  • 📅 Published: October 2018

  • 📘 Journal: Applied Mathematical Modelling

  • 🔗 DOI: 10.1016/j.apm.2018.05.025

  • 👥 Authors: Yi Lu, Zhuohong Dai, Peng Wang

🛠️ 5. Stiffness Analysis of Parallel Manipulators with Linear Limbs by Considering Inertial Wrench of Moving Links and Constrained Wrench

  • 📅 Published: August 2017

  • 📘 Journal: Robotics and Computer-Integrated Manufacturing

  • 🔗 DOI: 10.1016/j.rcim.2016.12.003

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye

🦾 6. Dynamics Analysis of Novel Hybrid Robotic Arm with Three Fingers

  • 📅 Published: December 2016

  • 📘 Journal: Robotica

  • 🔗 DOI: 10.1017/S0263574715000351

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye

⚙️ 7. Dynamics Model of Redundant Hybrid Manipulators Connected in Series by Three or More Different Parallel Manipulators with Linear Active Legs
🤲 8. Kinematics/Statics Analysis of a Novel Serial-Parallel Robotic Arm with Hand

  • 📅 Published: October 2015

  • 📘 Journal: Journal of Mechanical Science and Technology

  • 🔗 DOI: 10.1007/s12206-015-0939-7

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye, Peng Wang

Conclusion

Ms. Dai stands as an exemplary and highly deserving candidate for the Best Scholar Award. His achievements reflect the core values of this prestigious honor—innovation, scholarly impact, and academic leadership .Ms. Zhouhong Dai has consistently demonstrated exceptional academic excellence, research innovation, and practical impact in the fields of robotics, mechatronics, and intelligent control systems.