Guoqiang Li | Engineering | Innovative Research Award

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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

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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

Zhen Guo | Engineering | Best Researcher Award

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Dr. Zhen Guo | Engineering | Best Researcher Award

Zhen Guo is a doctoral student at the School of Transportation and Logistics Engineering, Wuhan University of Technology. His research focuses on deep learning, fault diagnosis, and intelligent monitoring of rotating machinery. He specializes in anomaly detection, imbalance learning, few-shot learning, and transfer learning, applying these methods to improve reliability in robotics and mechanical systems. Zhen has served as a reviewer for several high-impact journals and conferences, reflecting his active engagement in the research community and his expertise in intelligent diagnostics and engineering applications.

Dr. Zhen Guo | Wuhan University of Technology | China

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Education

  • Zhen Guo is currently pursuing doctoral studies at Wuhan University of Technology in the School of Transportation and Logistics Engineering, where his research is focused on cutting-edge developments in intelligent systems and mechanical diagnostics. Prior to this, he completed his master’s studies at Zhengzhou University of Light Industry, laying a strong foundation in engineering and applied technologies. His academic path demonstrates a consistent focus on integrating deep learning with real-world engineering challenges.

Experience

  • Zhen has actively contributed to the academic community as a peer reviewer for several internationally recognized journals and conferences. His review work spans prestigious platforms such as Advanced Engineering Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, ISA Transactions, Measurement, Measurement Science and Technology, Journal of Mechanical Science and Technology, Engineering Research Express, and Scientific Reports. His peer review contributions highlight his depth of knowledge and his commitment to advancing research quality in the fields of mechanical systems and artificial intelligence.

Awards and Recognition

  • Zhen’s selection as a reviewer for top-tier journals and conferences serves as a testament to his expertise and standing within the academic community. This level of involvement often reflects recognition by peers and editors for his technical insight and critical thinking.

Skills and Certifications

  • Zhen’s core competencies include deep learning, fault diagnosis, robotics, rotating machinery analysis, anomaly detection, and imbalance learning. He is particularly skilled in emerging machine learning paradigms such as few-shot learning and transfer learning. His research integrates these advanced techniques to solve complex problems related to industrial automation and intelligent monitoring.

Research Focus

  • Zhen Guo’s research centers on the intersection of artificial intelligence and mechanical engineering, with an emphasis on fault diagnosis and intelligent monitoring systems. He is especially interested in leveraging deep learning for detecting anomalies in rotating machinery, optimizing performance through imbalance learning, and developing robust solutions using few-shot and transfer learning approaches. His work contributes to building smarter, more reliable engineering systems in transportation and logistics.

Conclusion

  • Zhen Guo is an emerging researcher with a strong academic background and a growing presence in the international engineering research community. His blend of expertise in machine learning and mechanical systems positions him as a promising scholar dedicated to advancing intelligent diagnostics and automation. His contributions as a reviewer and researcher underscore his commitment to innovation and academic excellence.

Publications

  • Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
    Authors: Guo, Z.; Du, W.; Liu, Z.; Hu, T.; Yu, Y.; Li, C.
    Journal: Expert Systems with Applications

  • Squeeze-and-excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles
    Authors: Du, W.; Yu, X.; Guo, Z.; Wang, H.; Pu, Z.; Li, C.
    Journal: Journal of Field Robotics

  • Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network
    Authors: Chengguang Zhang; Zhen Guo; Chuan Li
    Journal: Scientific Reports

  • Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers
    Authors: Wenliao Du; Xinlong Yu; Zhen Guo; Hongchao Wang; Yiyuan Gao; Ziqiang Pu; Guanghua Li; Chuan Li
    Journal: Ocean Engineering

  • Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest
    Authors: Zhen Guo; Wenliao Du; Chuan Li; Xibin Guo; Zhiping Liu
    Journal: Measurement

Xianyun Liu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Xianyun Liu | Engineering | Best Researcher Award

Xianyun Liu is an Associate Professor at the School of Microelectronics, Changzhou University, and a Master’s Supervisor specializing in semiconductor materials and devices. She holds a Ph.D. and serves as a director of the Jiangsu Provincial Physical Society and a review expert for the National Natural Science Foundation of China. She has received prestigious honors including the President’s Outstanding Award from the Chinese Academy of Sciences and fellowships from the Japan Society for the Promotion of Science. Her research has led to over 20 SCI/EI-indexed publications, one Nature Index paper, and the successful commercialization of a patented invention.

Assoc. Prof. Dr. Xianyun Liu | Changzhou University | China

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🎓Education

  • Xianyun Liu earned her Ph.D. in a discipline closely related to semiconductor materials and devices. Her advanced academic training equipped her with a deep understanding of microelectronics and solid-state physics. Her educational path laid the foundation for a career that blends rigorous scientific research with applied technological innovation.

👨‍🏫 Experience

  • Currently serving as an Associate Professor at the School of Microelectronics, Changzhou University, Xianyun Liu also holds the role of Master’s Supervisor. She contributes actively to academic development and student mentorship in the field of semiconductor materials and devices. She has undertaken significant roles such as Director of the Jiangsu Provincial Physical Society and acts as a review expert for the National Natural Science Foundation of China’s correspondence evaluation projects. Her international experience is further marked by her research fellowship in Japan, enhancing her global research perspective.

🤝 Awards and Recognition

  • Xianyun Liu has received numerous prestigious recognitions throughout her career. She was awarded the First Prize of the President’s Scholarship and the “President’s Outstanding Award” by the Chinese Academy of Sciences, acknowledging her academic excellence. She was also a recipient of both the Japan Society for the Promotion of Science Fellowship and the JSPS Postdoctoral Research Fellowship. Her contributions to scientific research have earned her the Second Prize for Outstanding Scientific and Technological Papers in Natural Sciences in Changzhou and facilitated the successful commercialization of a patented invention.

💡Skills and Certifications

  • Xianyun Liu specializes in the development and characterization of semiconductor materials and devices. Her core competencies include advanced research in microelectronic systems, applied physics, and materials science. She is also experienced in guiding postgraduate research, peer review of scientific proposals, and managing funded scientific projects. Her technical strengths are complemented by her strategic thinking in project execution and technology transfer.

🔬 Research Focus

  • Her primary research focuses on semiconductor materials and devices. She explores novel material properties, electronic structure analysis, and device fabrication techniques that enhance performance and reliability in microelectronic applications. Her work supports the development of cutting-edge technologies in fields such as integrated circuits and optoelectronics.

🌎Conclusion

  • Xianyun Liu is a highly accomplished researcher and educator whose career reflects a strong commitment to scientific advancement in the field of semiconductors. Her blend of academic excellence, leadership in scientific societies, international collaboration, and practical innovation underlines her impact in both academic and industrial spheres. Her contributions continue to inspire progress in microelectronics and related disciplines.

📖Publications

  • Modeling and Simulation of High-Sensitivity Silicon-Graphene TFET for Label-Free Biosensors
    Authors: Liu, X.; Lu, C.; Yao, J.; Yang, D.; Yuan, W.
    Journal: ECS Journal of Solid State Science and Technology

  • Simulation and Optimization of Enhanced Back-Gated GaN-Based HEMT Ultraviolet Photodetector with a High Photo-to-Dark Current Ratio
    Authors: Yuan, W.; Liu, X.; Yang, D.; Yao, J.; Lu, C.
    Journal: AIP Advances

  • Design and Numerical Simulation of Capacitive Pressure Sensor Based on Silicon Carbide
    Authors: Zhou, Q.; Liu, X.; Luo, S.; Jiang, X.; Yang, D.; Yuan, W.
    Journal: IEEE Sensors Journal

  • Effect of Source–Drain Opposite Side Gate on the AlGaN/GaN High Electron Mobility Transistor Devices
    Authors: Luo, S.; Liu, X.; Jiang, X.
    Journal: Physica Status Solidi A: Applications and Materials Science

  • Study on the Point-Contact Gate AlGaN/GaN High Electron Mobility Transistor with 0.1 μm Gate Length
    Authors: Luo, S.; Liu, X.; Jiang, X.
    Journal: Physica Status Solidi A: Applications and Materials Science

Mei Huang | Engineering | Best Researcher Award

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Dr. Mei Huang | Engineering | Best Researcher Award

Huang Mei is a Lecturer at the Department of Urban and Rural Planning, School of Architecture, Xi’an University of Architecture and Technology. She is currently pursuing her Doctorate in Urban and Rural Planning at the same institution. Her research focuses on green water infrastructure planning and rural planning, particularly in the context of traditional villages and sustainable development in Northwest China. Huang has led and participated in numerous national and provincial research projects and has contributed significantly to the development of low-carbon and livable rural environments. She has also worked as a project coordinator for rural development initiatives, demonstrating a strong integration of academic and practical expertise in planning and environmental design.

Dr. Mei Huang | Xi’an University of Architecture and Technology | China

Profile

🎓Education

  • Huang Mei holds a Bachelor’s degree in Urban Planning from Yunnan University, completed in 2011. She pursued her Master’s degree in Urban Planning and Design at Xi’an University of Architecture and Technology from 2011 to 2014, where she was recommended for exemption from the entrance examination. She is currently a Doctoral Candidate in Urban and Rural Planning at the same university, a program she began in 2018 and is expected to complete in 2025.

👨‍🏫 Experience

  • Since July 2014, Huang Mei has served as a Lecturer in the Department of Urban and Rural Planning, School of Architecture at Xi’an University of Architecture and Technology. Concurrently, from 2014 to 2017, she worked as a Project Coordinator for the Traditional Villages Program in Qiandongnan, managed by the Research Center for Rural Development and Construction under the Zhichunzhi Bridge Charity Foundation in Hong Kong. Her professional journey highlights a commitment to teaching, research, and hands-on project coordination in rural and traditional village planning.

🏆Awards and Recognitions

  • Huang Mei’s primary research interests lie in green water infrastructure planning and rural planning. Her work emphasizes sustainable and low-carbon development approaches, particularly in the context of traditional villages and small towns in Northwest China. She has a strong focus on practical applications of planning methods that integrate engineering, space, and environmental considerations to improve rural domestic sewage treatment, living environments, and cultural heritage protection.

💡Skills and Certifications

  • Huang Mei has been recognized for her expertise and leadership in several youth and general fund projects supported by the National Natural Science Foundation of China, the Ministry of Education, and various provincial housing and urban-rural development departments. Her inclusion in the Youth Talent Support Project of the Science and Technology Association of Shaanxi Universities further attests to her contributions to rural and green planning research.

🔬 Research Focus

  • Her skills encompass project coordination, rural planning and design, green infrastructure development, and interdisciplinary research methodology. Huang Mei is experienced in planning models suitable for traditional village environments and has expertise in developing technical standards and evaluation frameworks for livable and sustainable rural development.

🌎Conclusion

  • Dr. Huang Mei stands out as a visionary researcher in sustainable rural infrastructure and planning. Her body of work contributes not only to academic discourse but also to real-world problem-solving, particularly in historically underserved areas. She exemplifies the core spirit of the Best Researcher Award—intellectual excellence, applied innovation, and community impact. Her nomination would elevate the profile of both the award and the field of rural environmental planning.

📖Publications

  •  Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province

    Authors: Mei Huang, Degang Duan, Sicheng Tan, Ling Huang
    Journal: Buildings

  • Rural Resilience Evaluation and Risk Governance in the Middle Reaches of the Heihe River, Northwest China: An Empirical Analysis from Ganzhou District, a Typical Irrigated Agricultural Area

    Authors: Jing Huang, Dongqian Xue, Mei Huang
    Journal: Land

Jianghua Sui | Engineering | Best Researcher Award

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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

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 🎓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