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

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

Xuanze Wang | Engineering | Best Researcher Award

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Prof. Xuanze Wang | Engineering | Best Researcher Award

Professor Xuanze Wang is a Professor and Master’s Supervisor at the School of Mechanical Engineering, Hubei University of Technology. He earned his Doctor of Engineering in Mechanical Manufacturing and Automation from Huazhong University of Science and Technology in 2005. A recipient of the Ministry of Education’s New Century Excellent Talent award, he specializes in precision measurement, embedded systems and analog circuit design, and digital signal processing and automatic control. He has led two National Natural Science Foundation of China projects, participated in over ten national and provincial research initiatives, and published more than 50 peer-reviewed papers.

Prof. Xuanze Wang | Hubei Institute of Technology | China

Profile

🎓Education

  • Professor Xuanze Wang earned his Doctor of Engineering degree in Mechanical Manufacturing and Automation from Huazhong University of Science and Technology in 2005, laying a solid academic foundation in the field of mechanical engineering.

👨‍🏫 Experience

  • He currently serves as a Professor and Master’s Supervisor at the School of Mechanical Engineering, Hubei University of Technology. From July 2010 to July 2011, he undertook a one-year academic visit at the University of Huddersfield in the United Kingdom, expanding his international academic collaborations and exposure.

🤝 Awards

  • Professor Wang was selected as a New Century Excellent Talent by the Ministry of Education, recognizing his outstanding academic potential and contributions to engineering education and research.

💡Skills and Certifications

  • He possesses extensive expertise in precision measurement methodologies, embedded systems and analog processing circuit design, as well as digital signal processing and automatic control methods, integrating both theoretical knowledge and practical engineering skills.

🔬 Research Focus

  • His research primarily focuses on precision measurement techniques, embedded systems development, analog circuit design, and digital signal processing with applications in automatic control. He has presided over two projects funded by the National Natural Science Foundation of China and participated in more than ten national and provincial-level research initiatives. His scholarly output includes over 50 peer-reviewed papers, contributing valuable knowledge to the engineering research community.

🌎Conclusion

  • Xuanze Wang is highly suitable for the Research for Best Researcher Award. His combination of prolific research output, leadership in funded projects, international collaboration, and recognition by the Ministry of Education align well with the award’s criteria for research excellence, innovation, and impact. His contributions not only advance engineering science but also provide practical solutions across industries, making him a compelling candidate for this honor.

📖Publications

  • Robust vertical scanning interferometry at a long coherence length
    Authors: Zhao Hang, Xie Yijun, Zhu Renlong, Liu Shiyuan, Zhu Jinlong
    Journal: Optics and Lasers in Engineering, 2025

  • 3D reconstruction of a highly reflective surface based on multi-view fusion and point cloud fitting with a structured light field
    Authors: Feng Wei, Liu Qianqian, Wang Henghui, Xu Jiangtao, Wang Xuanze
    Journal: Applied Optics, 2025

  • A Micro-Current Measurement Method Based on Bidirectional Search to Eliminate Operational Amplifier Offset Voltage
    Authors: Wang Xuanze, Li Yuchen, Yang Zhenyu, Zhai Zhongsheng
    Journal: Chinese Journal of Sensors and Actuators, 2025

  • Moving sine average-based surface recovery method with enhanced noise resistance in white light interferometry
    Authors: Dong Zhengqiong, Zhu Renlong, Zhao Hang, Zhu Jinlong, Nie Lei
    Journal: Optical Engineering, 2025

  • Robust function guided color encoded single fringe pattern and unwrapping method
    Authors: Liu Da, Yu Xiatian, Li Xuelian, Zou Jianchao, Zhang Yuqing
    Journal: Optics Communications, 2025

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

Fei Xiao | Engineering | Innovative Research Award

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Dr. Fei Xiao | Engineering | Innovative Research Award 

Xiao Fei is an expert in civil and airport engineering, specializing in cryogenic material storage, geothermal energy, and data analytics. He holds a PhD in Civil Engineering from Nanyang Technological University and has extensive research experience in underground LNG storage and grouting technologies. Currently based at Nanjing University of Aeronautics and Astronautics, he has also worked with institutions like Shanghai Jiao Tong University and Huazhong University of Science and Technology. His skills include finite element analysis, data modeling, and structural optimization. Xiao Fei has received multiple academic awards, including the SRMEG Outstanding Paper Award.

Dr. Fei Xiao | Nanjing University of Aeronautics and Astronautics | China

Profile

SCOPUS ID

🎓Education

  • Xiao Fei obtained a PhD in Civil Engineering from Nanyang Technological University (NTU), Singapore, between August 2014 and August 2018. Prior to that, he earned a Master of Engineering in Naval Architecture and Ocean Engineering from Shanghai Jiao Tong University (SJTU) from September 2011 to March 2014. His undergraduate studies were completed at Huazhong University of Science and Technology (HUST), where he graduated magna cum laude with a Bachelor of Science degree in Naval Architecture and Ocean Engineering from September 2007 to June 2011.

👨‍🏫Experience

  • Xiao Fei has gained professional experience through roles in both academia and industry. He worked as an Assistant Engineer at Germanischer Lloyd (GL, Shanghai) from November 2013 to January 2014, where he was responsible for 3D modeling of a 10,000 TEU container ship. Additionally, he served as a work assistant at SJTU’s Graduate School (2011-2013) and held leadership positions in student organizations. His industry experience includes an assistant surveyor role at Registro Italiano Navale (RINA, Shanghai) in early 2011, where he was involved in quality control testing and structural inspections.

🏆Awards and Recognitions

  • Xiao Fei has received multiple prestigious awards throughout his academic and professional career. He won the Best Presentation and Outstanding Paper Award at the SRMEG (Singapore) in 2021, as well as the Second Runner-up Outstanding Paper Award in 2018-2019. During his studies at SJTU, he was awarded the American Bureau of Shipping Scholarship (Top 10%) in 2013 and the China Classification Society Scholarship (Top 23%) in 2012. He has also been recognized for his leadership, receiving the Outstanding Student Leader Award at both SJTU (2012) and HUST (2010). His achievements include academic excellence scholarships, self-reliance scholarships, and recognition for moral and extracurricular contributions at HUST.

💡Skills and Certifications

  • Xiao Fei possesses a strong technical skill set, including proficiency in finite element analysis using COMSOL Multiphysics, ANSYS, and ABAQUS. He is adept at designing and conducting experiments, performing data post-processing, and developing application programs using MATLAB and C Language. His expertise extends to data analysis with MATLAB and IBM SPSS, as well as 2D and 3D modeling using AutoCAD and Poseidon.

🔬 Research Focus

  • Xiao Fei has been extensively involved in research projects related to underground LNG storage, high-pressure grouting technology for tunneling, and stability analysis of offshore structures. At the SJ-NTU Corporate Lab from May 2019 to May 2021, he worked on determining the configuration of pit-type storage systems, developing cost estimation and optimization models, and building numerical models for thermal and mechanical analysis. During his PhD at NTU (2015-2019), he focused on high-pressure grouting for tunneling, employing artificial neural networks for predictive modeling and developing simulations for grout penetration in fractured rock systems. His earlier research at SJTU (2012-2013) and HUST (2011) involved stability and reliability analysis of top-tensioned risers in real sea conditions and stress intensity factor analysis in offshore structures.

🌎Conclusion

  • Dr. Fei Xiao is highly suitable for the Research for Innovative Research Award, given his exceptional research contributions, innovative problem-solving, and leadership in advancing engineering knowledge. His work aligns with the award’s goal of recognizing researchers who push the boundaries of technology and sustainability.

📖Publications

  • Innovative measures for thermal performance enhancement of single well-based deep geothermal systems: existing solutions and some viable options
    Authors: F. Xiao*, Z. Zhao, L. Yang
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2022

  • Numerical simulation of single well geothermal system based on the artificial geyser concept considering phase change and multiphysics coupling
    Authors: Z. Chen, F. Xiao*
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2025

  • Thermal runaway prevention and mitigation for lithium-ion battery-powered electric aircraft: challenges and perspectives
    Authors: L. Yang, F. Liu, F. Li, Z. Chen, J. Wang, L. Gao, F. Xiao, J. Sun, A. Romagnoli
    Journal: Aerospace Traffic and Safety, 2024

  • Revisiting the evaluation of hydraulic transmissivity of elliptical rock fractures in triaxial shear-flow experiments
    Authors: Y. Ji, H. Hofmann, E. H. Rutter, F. Xiao*, L. Yang
    Journal: Rock Mechanics and Rock Engineering, 2022

  • Performance enhancement of horizontal extension and thermal energy storage to an abandoned exploitation well and satellite LNG station integrated ORC system
    Authors: F. Xiao*, L. Yang, L. He, A. Gil, S. Rajoo, Z. Zhao, A. Romagnoli, L. F. Cabeza
    Journal: Applied Thermal Engineering, 2022