Dr. Liu Ying | Engineering | Research Excellence Award

Published on by China Scientist

Dr. Liu Ying | Engineering | Research Excellence Award

East China Jiaotong University | China

Dr. Liu Ying is a dedicated researcher and lecturer in the field of mechanical and vehicle engineering, recognized for her growing scholarly contributions and interdisciplinary expertise that bridges intelligent control, computer vision, image detection, and reinforcement learning. With an academic foundation shaped through rigorous training in mechanical design, manufacturing, automation, and advanced mechanical engineering, she has developed a strong research trajectory supported by both theoretical depth and applied innovation. Her scholarly record reflects an emerging yet impactful academic presence, demonstrated through 6 published documents, 15 citations, and an h-index of 2, highlighting the relevance and early influence of her work within the scientific community. Dr. Liu’s research explores visual perception, target localization, and intelligent analysis, forming an integrated framework that advances algorithmic design and real-world technical applications. She has contributed to multiple scientific research projects, including national-level initiatives and collaborative programs with substantial funding volumes, underscoring her active role in large-scale, multidisciplinary research environments. Her output also includes seven journal publications indexed in major scholarly databases and more than twenty patents that showcase her drive for innovation and technological development. Beyond academic publishing, she has completed numerous consulting and industry-related projects, translating her research insights into practical solutions for engineering challenges. As a young academic, she has already taken lead roles in talent programs and continues to expand her impact by addressing key problems in vehicle engineering and intelligent systems. With a professional approach grounded in scientific rigor and a commitment to future-oriented advancements, Dr. Liu Ying exemplifies the qualities of an emerging research leader whose contributions continue to shape the evolving landscape of intelligent engineering and applied computational methodologies.

Citation Metrics (Scopus)

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Featured Publication

Guoqiang Li | Engineering | Innovative Research Award

Published on by China Scientist

Dr. Guoqiang Li | Engineering | Innovative Research Award 

Dr. Guoqiang Li is a Lecturer and Master’s Supervisor at the School of Marine Engineering. He received his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, following a Bachelor’s degree from Dalian Maritime University. His research focuses on the reliability analysis, anomaly detection, and intelligent fault diagnosis of offshore electromechanical equipment. He has led several national and provincial research projects and has expertise in industrial big data, AI algorithms, and smart operation platforms. Dr. Li is also a recipient of multiple science and teaching awards and has authored officially published textbooks.

Dr. Guoqiang Li | Jimei University | China

Profile

SCOPUS ID

Education

  • Dr. Guoqiang Li holds a Bachelor’s degree from Dalian Maritime University and earned both his Master’s and Doctoral degrees in Mechanical Engineering from Huazhong University of Science and Technology. His advanced training laid a strong foundation in engineering principles, particularly in the context of mechanical reliability and intelligent systems applied to offshore environments.

Experience

  • Dr. Li is currently serving as a Lecturer and Master’s Supervisor at the School of Marine Engineering. Since joining academia, he has been involved in teaching, mentoring graduate students, and spearheading innovative research. His contributions extend beyond his university role, having participated in national and provincial-level research initiatives and collaborated with major institutions such as Wuhan University of Technology. He has played both principal and collaborative roles in a variety of R&D projects focusing on marine power systems and intelligent control technologies.

Awards and Recognition

  • Dr. Li has received multiple accolades throughout his academic and research journey. These include prestigious Science and Technology Awards, recognition for Teaching Achievements, and the authorship of officially published textbooks. These honors underscore his excellence in both academic instruction and scientific innovation.

Skills and Certifications

  • His core competencies lie in reliability analysis, intelligent fault diagnosis, and predictive maintenance of offshore electromechanical systems. He is proficient in applying industrial big data analytics, artificial intelligence algorithms, and edge-cloud collaborative computing. Dr. Li is also skilled in the development of intelligent operation platforms and industrial internet systems that support real-time monitoring, diagnostics, and equipment self-regulation.

Research Focus

  • Dr. Li’s research centers on the intelligent monitoring and fault management of offshore equipment. He is especially interested in anomaly detection, condition assessment, and data-driven fault prediction. His work integrates cutting-edge technologies such as generative AI, deep reinforcement learning, and multi-source data fusion to enhance the autonomy and intelligence of marine mechanical systems. His goal is to develop systems capable of zero-sample learning, predictive maintenance, and self-healing control in complex maritime environments.

Conclusion

  • Dr. Guoqiang Li is a forward-thinking researcher and educator whose work lies at the intersection of artificial intelligence and marine engineering. With a firm academic grounding and an expanding portfolio of impactful projects, he continues to contribute to the advancement of intelligent fault diagnostics and system automation in offshore industries. His research and innovations are well-positioned to address the growing demand for smart, reliable, and efficient marine technologies.

Publications

  • Zero-sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning
    Authors: Guoqiang Li, Meirong Wei, Defeng Wu, Yiwei Cheng, Jun Wu
    Journal: Expert Systems with Applications

  • Wavelet knowledge-driven transformer for intelligent machinery fault detection with zero-fault samples
    Authors: Guoqiang Li, Meirong Wei, Haidong Shao, Pengfei Liang, Chaoqun Duan
    Journal: IEEE Sensors Journal

  • Zero-fault sample wavelet knowledge-driven industrial robot fault detection
    Authors: Guoqiang Li, Meirong Wei, Defeng Wu, et al.
    Journal: Journal of Instrumentation

  • Deep reinforcement learning-based online domain adaptation method for fault diagnosis of rotating machinery
    Authors: Guoqiang Li, Jun Wu, Chao Deng, Xuebing Xu, Xinyu Shao
    Journal: IEEE/ASME Transactions on Mechatronics

  • Convolutional neural network-based Bayesian Gaussian mixture for intelligent fault diagnosis of rotating machinery
    Authors: Guoqiang Li, Jun Wu, Chao Deng, Zuoyi Chen, Xinyu Shao
    Journal: IEEE Transactions on Instrumentation and Measurement

Jianghua Sui | Engineering | Best Researcher Award

Published on by China Scientist

Mrs. Jianghua Sui | Engineering Best Researcher Award

Innovative Impact:

  • Sui’s application of cutting-edge technologies, including new materials and energy sources, to fishing vessels has yielded substantial economic and operational benefits. Her efforts have supported strategic upgrades to offshore fishing as a national industry and informed policy development for agencies like the Maritime Safety Administration.

Mrs. Jianghua Sui | Dalian Ocean University | China

Author Profile

SCOPUS ID

 🎓EARLY ACADEMIC PURSUITS:

  • Mrs. Jianghua Sui began her academic journey at Dalian Maritime University, where he earned her Ph.D. in Marine Engineering in 2007. Her passion for maritime research and engineering laid the foundation for a distinguished career focused on innovation and safety in the marine sector.

 🏥 Professional Milestones:

  • Since 2016, Mrs. Sui has served as a professor at Dalian Ocean University and currently holds the esteemed position of Dean of Navigation and Ship Engineering College. Over her career, he has undertaken 93 scientific research projects, with 85 completed and 8 ongoing. Her prolific research output includes 50 published papers as the first or corresponding author. Additionally, he has authored 12 books and holds 13 patents, solidifying her reputation as a leading academic and innovator.

🧬 Research Contributions:

  • Mrs. Sui’s research encompasses ship motion control, fishing vessel safety, marine automation engineering, and intelligent algorithms. Her work on the safety technology of fishing vessels has been instrumental in driving advancements in maritime safety. Notable achievements include the integration of new technologies, energy sources, and materials on fishing vessels, leading to significant economic benefits. Her research has directly supported policy-making for organizations such as the Maritime Safety Administration and the Fisheries and Fishery Administration.

🌍 IMPACT AND INFLUENCE

  • Mrs. Jianghua Sui has made significant contributions to the field of marine engineering and fishing vessel safety, earning widespread recognition for her impactful work. Her pioneering research on safety technologies and innovative applications of new materials and energy sources in fishing vessels has directly contributed to economic growth and enhanced maritime safety standards. These advancements have been highly commended by the Ministry of Agriculture and have supported the elevation of offshore fishing as a strategic industry in China. Mrs. Sui’s efforts have also influenced policy decisions by the Maritime Safety Administration and the Fisheries and Fishery Administration, underscoring her role as a key advisor in the maritime sector.

🖋 EDITORIAL APPOINTMENTS

  • Mrs. Sui plays an integral role in the academic community by serving on the editorial boards of several prestigious journals. These include the Journal of Dalian Ocean University, the Journal of Fishery Modernization, and the Chinese Journal of Navigation. Through these appointments, he actively shapes the discourse and direction of research in marine engineering and safety, ensuring the dissemination of high-quality scholarly work.

🤝 COLLABORATIONS AND PROFESSIONAL MEMBERSHIPS

  • Mrs. Sui has established a vast network of collaborations and professional affiliations. As a visiting scholar at the State Key Laboratory of Process Industry at Northeastern University, he further expanded her expertise. He holds leadership roles such as Deputy Director of the Fishing Vessel Safety Research Center, Head of the Secretariat of the Fishing Vessel Technology Research Subcommittee, and Executive Director of the China Ocean Fisheries Association. Her membership in national and provincial expert committees reflects her standing as a trusted advisor and leader in advancing marine and fishing vessel safety standards.

📊 ACADEMIC CITATIONS

  • A prolific scholar, Mrs. Sui has published 20 journal articles in SCI and Scopus-indexed journals, with her research cited in leading platforms. Her contributions include 5 SCI-indexed papers and 15 EI-indexed works, reflecting her influence and academic excellence. Additionally, he has authored 12 books and contributed 50 papers as the first or corresponding author, further cementing her reputation as an authority in maritime engineering and safety.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

  • Mrs. Sui’s enduring legacy lies in her commitment to fishery vessel safety and technological innovation. Her work has provided invaluable support for formulating national policies, significantly improving maritime safety standards. Looking forward, her efforts will continue to shape the future of marine engineering, inspiring advancements in sustainable practices, intelligent systems, and fishing vessel modernization.

📄Publications

  • Auxiliary model nonlinear innovation least squares algorithm for identification ship 4-DOF via full-scale test data
    • Authors: Song, C.; Li, Y.; Sui, J.
    • Journal: Scientific Reports, 2024, 14(1), 25861
  • Pitching Stabilization Control for Super Large Ships Based on Double Nonlinear Positive Feedback under Rough Sea Conditions
    • Authors: Song, C.; Qiao, Q.; Sui, J.
    • Journal: Journal of Marine Science and Engineering, 2024, 12(9), 1657
  • Nonlinear innovation identification algorithm based on comprehensive application method for large ship model in rough sea
    • Authors: Song, C.; Li, Y.; Sui, J.; Zhang, X.
    • Journal: Ocean Engineering, 2024, 303, 117502
  • Dynamic Positioning Control of Large Ships in Rough Sea Based on an Improved Closed-Loop Gain Shaping Algorithm
    • Authors: Song, C.; Guo, T.; Sui, J.; Zhang, X.
    • Journal: Journal of Marine Science and Engineering, 2024, 12(2), 351
  • Nonlinear Innovation Identification for Norrbin Mathematical Model Via Actual Ship
    • Authors: Sui, J.; Bai, C.; Song, C.; Zhang, X.
    • Journal: Proceedings of the 36th Chinese Control and Decision Conference (CCDC), 2024, pp. 572–577