Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

Dr. Gun Rae Cho | Korea Institute of Robotics and Technology Convergence | South Korea

Dr. Gun Rae Cho has significantly advanced the field of underwater robotics through pioneering research in autonomous marine systems, intelligent control, and mission-resilient subsea technologies. With 435 citations across 401 documents, 46 publications, and an h-index of 10, he has established a strong scientific footprint in marine autonomy and robotic innovation. His work encompasses robust control of AUVs, relative-motion–based multi-thruster coordination, and adaptive maneuvering strategies that ensure stability, precision, and reliability in turbulent, shallow-water, and highly turbid environments. Dr. Cho has led the development of digital-twin inspection systems for ports, dams, locks, and subsea infrastructure, integrating imaging sonar, inertial navigation, acoustic sensing, and AI-driven perception for high-fidelity autonomous inspection. He has also contributed to next-generation diver-assistance robotics and advanced teleoperation-assistance technologies for underwater manipulators, improving safety and efficiency in complex intervention tasks. Through leadership in major national R&D projects, he has strengthened Korea’s capabilities in maritime search operations, underwater infrastructure O&M, autonomous robotic fleets, and heavy-duty ROV industrialization. His extensive collaborations with universities, research institutes, and industry have produced practical robotic platforms and inspection solutions that support marine safety and technological growth. Collectively, his contributions position Korea at the forefront of intelligent ocean-technology development.

Profiles: Scopus | Orcid

Featured Publications

Cho, G. R., Kang, H., Li, J.-H., Kim, M.-G., Jin, H., Lee, M.-J., & Jin, S. (2025). Estimation of hydrodynamic coefficients for the underwater robot P-SUROII via constraint recursive least squares method. Journal of Marine Science and Engineering, 13(9), Article 1610.

Cho, G. R., Kang, H., Kim, M.-G., Lee, M.-J., Li, J.-H., Kim, H., Lee, H., & Lee, G. (2023). An experimental study on trajectory tracking control of torpedo-like AUVs using coupled error dynamics. Journal of Marine Science and Engineering, 11(7), Article 1334.

Li, J.-H., Kang, H., Kim, M.-G., Lee, M.-J., Cho, G. R., & Jin, H.-S. (2022). Adaptive formation control of multiple underactuated autonomous underwater vehicles. Journal of Marine Science and Engineering, 10(9), Article 1233.

Cho, G.-R., Ki, G., Lee, M.-J., Kang, H., Kim, M.-G., & Li, J.-H. (2021). Experimental study on tele-manipulation assistance technique using a touch screen for underwater cable maintenance tasks. Journal of Marine Science and Engineering, 9(5), Article 483.

Li, J.-H., Lee, M.-J., Kang, H., Kim, M.-G., & Cho, G. R. (2021). Design, performance evaluation, and field test of a water jet tool for ROV trencher. Journal of Marine Science and Engineering, 9(3), Article 296.

Cho, G. R., Ki, H., Li, J.-H., Lee, M., & Jee, S. C. (2018). Assisted teleoperation for underwater manipulation utilizing touch screen inputs. 2018 15th International Conference on Ubiquitous Robots (UR), 271–276.

 

Dr. Mingwei Zhao | Electrical Engineering | Excellence in Research Award

Dr. Mingwei Zhao | Electrical Engineering | Excellence in Research Award

Dr. Mingwei Zhao , Jiangsu Normal University & Shanghai University , China.

Dr. Mingwei Zhao πŸŽ“, born in Shandong, China πŸ‡¨πŸ‡³, is a dedicated researcher and educator in the field of electrical engineering ⚑. He currently serves as a Lecturer at Jiangsu Normal University 🏫, specializing in power electronics and robotic systems πŸ€–. With a strong foundation in mechanical and electrical integration πŸ”§, he pursued advanced studies in power drive systems and control science πŸŽ›οΈ. His ongoing research is focused on innovative power electronic drive technologies and intelligent robotics πŸ’‘. Dr. Zhao’s work contributes significantly to automation and energy efficiency solutions in modern engineering 🌐.

Professional Profile

Scopus

Education & Experience

  • πŸŽ“ B.S. in Mechanical and Electrical Integration, Nanjing University of Science and Technology, 2004

  • πŸŽ“ M.S. in Power Electronics and Power Drive, Nanjing University of Aeronautics and Astronautics, 2012

  • πŸŽ“ Ph.D. (in progress) in Control Science and Engineering, Shanghai University, since 2016

  • πŸ‘¨β€πŸ« Lecturer, School of Electrical Engineering and Automation, Jiangsu Normal University

Summary Suitability

Dr. Mingwei Zhao is a highly dedicated and innovative researcher, making him a strong candidate for the Excellence in Researcher Award. With a solid academic foundation and over a decade of hands-on experience, Dr. Zhao has significantly advanced the fields of power electronics drive technologies and robotic systems through both applied research and academic leadership.

Professional Development

Dr. Zhao has continually expanded his expertise through rigorous academic pursuits and hands-on teaching experience πŸ‘¨β€πŸ”¬. Currently undertaking his Ph.D. at Shanghai University πŸŽ“, he stays at the forefront of technological innovation by integrating control systems and robotics into his curriculum πŸ€–πŸ“˜. His involvement in both academic and applied research ensures that his contributions are both theoretically sound and practically relevant πŸ› οΈ. As a Lecturer, he mentors students and fosters a dynamic learning environment πŸŽ€πŸ’‘. His professional development reflects a balanced focus on research, teaching, and practical implementation in modern automation systems πŸš€.

Research Focus

Dr. Zhao’s research is centered in the Electrical and Automation Engineering category βš™οΈ, with a specialized emphasis on power electronic drive systems ⚑ and robotic control integration πŸ€–. He explores the design and control of energy-efficient power systems, automation technology, and intelligent robotic operations πŸ”‹πŸ”. His current studies contribute to advancing smart drive technologies that are vital for automation and Industry 4.0 initiatives πŸ­πŸ’‘. By leveraging multidisciplinary principles, he aims to develop sustainable and intelligent engineering systems that enhance the performance and adaptability of electrical devices 🌱🧠.

Publication Top Notes

  • Title:
    An Open-Circuit Fault Diagnosis for Three-Phase PWM Rectifier Without Grid Voltage Sensor Based on Phase Angle Partition

  • Authors:
    Mingwei Zhao, et al.

  • Journal:
    IEEE Transactions on Circuits and Systems I: Regular Papers

  • Publisher:
    IEEE (Institute of Electrical and Electronics Engineers)

  • Year:
    2024

  • Citations:
    4 (as of the latest count)

  • Summary:
    This article presents a fault diagnosis method for three-phase PWM rectifiers that eliminates the need for a grid voltage sensor. It uses phase angle partitioning to detect open-circuit faults efficiently, enhancing system reliability.

Conclusion

Dr. Zhao’s pioneering efforts and sustained contributions to power electronics and robotics make him a worthy nominee for the Excellence in Researcher Award. His blend of theoretical expertise, practical engineering solutions, and educational leadership continues to push the boundaries of automation and intelligent systems, benefiting both academia and industry.