Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Qifei Du | Optimization Techniques | Best Researcher Award

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Mr. Qifei Du | Optimization Techniques | Best Researcher Award

College of Safety and Ocean Engineering China University of Petroleum | China

Mr. Du Qifei is an Assistant Engineer and graduate student in Mechanical Engineering at the College of Safety and Ocean Engineering, China University of Petroleum, Beijing. His academic and professional journey centers on marine equipment structural design, with active contributions to research and innovation in marine engineering. He has participated in key R&D projects such as the study on the influence mechanism of freezing and thawing effect of Arctic permafrost on oil and gas pipelines, alongside consultancy and industry collaborations involving underwater pressurization systems and offshore wind power platform integration. Du Qifei has filed an impressive number of patents spanning underwater connectors, subsea protection devices, dredging systems, pipeline technologies, and advanced agricultural equipment. His research interests include structural simulation and optimization of marine systems, sealing performance of metal seals, underwater pressurization, and the effects of environmental stressors on marine infrastructure. Recognized for his contributions to national-level technological programs and innovation in offshore engineering, he continues to bridge theoretical research with industrial applications. With a focus on sustainable and resilient marine structures, his work contributes to advancing safe and efficient solutions for global offshore engineering challenges.

Profile: Orcid

Featured Publications

“Design and key technology of underwater oil and gas pressurization system”
“A lifting three-dimensional garage”
“A logistics distribution system”
“A mechanical and electrical equipment testing platform”
“A mining system”
“A non-destructive apple picking device”

Shujian Gao | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Shujian Gao | Data Analysis | Best Researcher Award

Ocean University of China | China

PUBLICATION PROFILE

Scopus

🔰INTRODUCTION

ASSOCIATE PROFESSOR DR. SHUJIAN GAO is a dedicated academic and researcher in the field of Ocean Engineering, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. With a passion for advancing offshore engineering through data-driven methods and cutting-edge technologies, Dr. Gao has contributed significantly to both research and education in the marine and oceanic domain.

🎓 EARLY ACADEMIC PURSUITS

DR. GAO BEGAN HIS JOURNEY in academia with an intensive doctoral program at Ocean University of China, where he pursued a Ph.D. in Ocean Engineering from 2018 to 2022. During this time, he honed his expertise in the dynamic behavior of floating structures and laid the foundation for his future contributions in offshore engineering systems and machine learning applications.

💼 PROFESSIONAL ENDEAVORS

FOLLOWING THE COMPLETION of his Ph.D., Dr. Gao continued his career at the Ocean University of China, taking on the role of Lecturer from 2022 to 2024. His dedication and innovative research earned him a promotion in 2024 to Associate Professor, marking a new phase in his academic leadership and mentorship within the university’s engineering faculty.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

DR. GAO’S RESEARCH INTERESTS span a rich blend of engineering and modern computational techniques. His key focus areas include:

  • Machine learning applications for offshore wind turbines,

  • Motion response monitoring and analysis for deep-sea floating structures, and

  • Dynamic coupling analysis methods and the development of digital twins for offshore structures.
    These interests reflect a strong commitment to enhancing the sustainability, reliability, and intelligence of marine systems using modern data and AI-driven methods.

🌍 IMPACT AND INFLUENCE

DR. GAO’S INFLUENCE extends beyond research publications into the broader academic community. Since 2022, he has served on the Editorial Board of Frontiers in Sustainable Resource Management and joined the Early Career Editorial Board of Marine Engineering Equipment and Technology in 2023. His reviewer role for prestigious journals—including Marine Structures, Ocean Engineering, IEEE Access, and Nonlinear Dynamics—reflects his respected standing among peers in the global research arena.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

DR. GAO HAS AUTHORED impactful research papers in top-tier journals. Selected recent publications include:

  1. A method for reconstructing dynamic displacement of floating structures (Communications Engineering, 2025).

  2. Nonlinear effects in floating structure motion responses (Ocean Engineering, 2024).

  3. Dynamic response decomposition for floating structures (Ocean Engineering, 2024).

  4. Field data analysis of nonlinearity in offshore wind turbines (Applied Ocean Research, 2024).
    These works emphasize practical innovations and theoretical advancements in ocean structure behavior analysis, positioning him as a key thought leader in the field.

🏅 HONORS & AWARDS

WHILE SPECIFIC AWARDS were not listed, Dr. Gao’s rapid rise from Ph.D. graduate to Associate Professor and his selection for editorial boards and peer-review roles speak volumes about his reputation and recognition in the academic and engineering communities.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

DR. GAO’S WORK is poised to shape the future of offshore engineering. His interdisciplinary approach—merging AI, sensor data, and marine engineering mechanics—lays the groundwork for next-generation sustainable and resilient offshore structures. As a mentor, editor, and researcher, his continued influence will extend across academia, industry, and policy sectors tackling the challenges of ocean sustainability and renewable energy.

📝 FINAL NOTE

DR. SHUJIAN GAO EMBODIES the spirit of innovation and academic excellence in ocean engineering. From machine learning applications to structural health monitoring of offshore platforms, his dedication continues to inspire students, collaborators, and global researchers. His journey illustrates the evolving nature of marine technology and the critical role of young scholars in navigating the oceans of tomorrow.

📚 TOP NOTES PUBLICATIONS 

Separation and Quantitative Evaluation for the Nonlinear Effects in the Motion Response of Floating Structures

  • Authors: Shujian Gao, Guoning Feng, Dianzi Liu, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

Investigation to the Nonlinearity Evolution of Offshore Wind Turbines Using Field Data: Application to a 4 MW Monopile Offshore Wind Turbine

  • Authors: Shujian Gao, Guoning Feng, Fushun Liu

  • Journal: Applied Ocean Research

  • Year: 2024

Research on Non-Stationary Characteristic Test and Decomposition for Dynamic Response of Floating Structures

  • Authors: Shujian Gao, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

A Motion Tracking Approach to Position Marine Floating Structures Based on Measured Acceleration and Angular Velocity

  • Authors: Fushun Liu, Shujian Gao, Yong Liu, Dianzi Liu

  • Journal: Ocean Engineering

  • Year: 2022