Dr. Liu Ying | Engineering | Research Excellence Award

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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

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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

Mr. Yunfei Xia | Engineering | Best Researcher Award

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Mr. Yunfei Xia | Engineering| Best Researcher Award

Yunfei Xia is a postgraduate student at China People’s Police University, specializing in Safety Engineering. With a foundation in Fire Engineering, he has participated in two research projects and authored three academic papers, including one SCI journal article. His research focuses on fire risk assessment, particularly in battery pack production processes, where he developed a novel safety risk assessment model using the DEMATEL-ANP method. Yunfei’s work addresses critical gaps in fire safety, offering dynamic solutions for industrial risk management and safety optimization

 

Mr. Yunfei Xia | China People’s Police University | China

Profile

ORCID ID

🎓 Education

  • Mr. Yunfei Xia holds a strong academic foundation in fire and safety engineering. He completed his undergraduate studies in Fire Engineering and pursued postgraduate studies specializing in Safety Engineering at China People’s Police University. His academic journey reflects his commitment to advancing safety in critical engineering domains.

💼 Experience

  • Yunfei Xia has participated in two significant research projects, demonstrating his growing expertise in fire risk assessment. With a focus on applied research, he has authored three academic papers, including one SCI journal article and two conference papers. His work reflects a dedication to addressing real-world safety challenges, particularly in the context of fire and battery production processes.

🛠️ Skills and Certifications

  • Yunfei Xia is skilled in fire risk assessment and the application of advanced analytical methods such as the DEMATEL-ANP model. He excels at evaluating complex relationships among risk factors and developing dynamic, data-driven solutions for improving safety in engineering and industrial settings.

🔬 Research Focus

  • Mr. Xia’s research focuses on fire risk assessment, with a specific emphasis on the safety challenges associated with battery pack production processes. His innovative work addresses gaps in traditional risk assessment methodologies, offering dynamic evaluation techniques and insights for improving safety management in high-risk industries.

🔥 Contributions

  • Yunfei Xia has developed a novel safety risk assessment model for battery pack production using the DEMATEL-ANP method. This model analyzes the intricate relationships and impacts of risk factors, providing a more comprehensive and dynamic approach to safety management. His contributions offer valuable insights for mitigating fire risks and improving industrial safety standards.

Conclusion

  • Yunfei Xia is an outstanding candidate for the Research for Best Researcher Award. His innovative contributions to safety engineering, demonstrated academic achievements, and impactful research addressing global safety challenges make him a strong contender. Awarding Yunfei this recognition would celebrate his work and inspire further advancements in safety engineering and industrial risk management.

📄Publications

  • Research on Fuzzy Comprehensive Evaluation of Fire Safety Risk of Battery Pack Production Process Based on DEMATEL-ANP Method
    Authors: Yunfei Xia, Qingming Guo, Lei Lei, Jiong Wu, Xin Su, Jianxin Wu
    Journal: Fire

Nan Nan | Engineering | Best Researcher Award

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Dr. Nan Nan | Engineering | Best Researcher Award

Nan Nan is a lecturer at the University of Science and Technology Liaoning, specializing in Mineral Processing Engineering. With a PhD from Northeastern University, China, their research focuses on flotation reagents, process mineralogy, and the comprehensive utilization of mineral resources. Nan Nan has published several SCI papers and received funding from the Liaoning Higher Education Research Fund. They have also led industry projects, including process optimization for various mineral processing plants, and won the 2nd Prize of the Science and Technology Progress Award from the China Gold Association.

Dr. Nan Nan | University of Science and Technology Liaoning | China

Profile

SCOPUS  ID

ORCID ID

🎓 Education

  • Nan Nan earned a PhD in Mineral Processing Engineering from Northeastern University, China, where they gained in-depth knowledge and expertise in mineral processing technologies.

💼 Experience

  • Currently serving as a lecturer at the University of Science and Technology Liaoning, Nan Nan has gained substantial industry experience by leading and participating in multiple enterprise-commissioned projects. Notably, these include energy efficiency evaluations and process examination projects for several mineral processing plants and mines across China.

 🏆 Honors and Awards

  • Nan Nan has been recognized with the 2nd Prize of the Science and Technology Progress Award from the China Gold Association. Additionally, Nan Nan has received funding support from the Liaoning Higher Education Research Fund.

🛠️ Skills and Certifications

  • Nan Nan possesses strong expertise in mineral processing engineering, flotation performance, process mineralogy, and the development of flotation reagents. With experience in optimizing grinding processes and flotation collectors, Nan Nan has contributed to enhancing the efficiency and cost-effectiveness of mineral processing operations.

🔬 Research Focus

  • Nan Nan’s research primarily focuses on mineral processing engineering, flotation reagent research and development, process mineralogy, and the comprehensive utilization of mineral resources. The work aims to advance flotation technology, process optimization, and to reduce operational costs, particularly in harsh mining conditions such as those in Northeast China.

Conclusion

  • Nan Nan is an ideal candidate for the Research for Best Researcher Award due to their exceptional academic background, groundbreaking contributions to industry practices, and continuous pursuit of research innovation. Their combination of industry collaborations, academic publications, and awarded research makes them a deserving nominee for this prestigious recognition.

📄Publications

  • Molecular modeling of interactions between N-(Carboxymethyl)-N-tetradecylglycine and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y., Liu, J.
    Journal: Minerals, 2019, 9(5), 278
  • Flotation performance and mechanism of α-Bromolauric acid on separation of hematite and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y.
    Journal: Minerals Engineering, 2019, 132, pp. 162–168
  • Froth flotation giant surfactants
    Authors: Li, Z., Fu, Y., Li, Z., Zhu, Y., Li, Y.
    Journal: Polymer, 2019, 162, pp. 58–62

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

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

Qixin Cheng | Engineering | Best Researcher Award

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Mr. Qixin Cheng | Engineering | Best Researcher Award

Professional Memberships:

  • His membership in the Chinese Society of Mechanics signifies his active participation in the engineering research community, fostering collaboration and knowledge exchange within his field.
Mr. Qixin Cheng, Liaoning Technical University, China

Profile

OrcID

🌱EARLY ACADEMIC PURSUITS

  • Mr. Qixin Cheng embarked on his academic journey in Safety Engineering, laying the foundation for a career dedicated to enhancing safety protocols in the mining industry. Through his studies, he developed a robust understanding of mine gas permeability and its critical role in disaster prevention and safety management. His academic efforts have been focused on advancing innovative techniques to mitigate risks in mining environments.

💼 PROFESSIONAL ENDEAVORS

  • As a key member of the Mine Coupled Disaster Prevention and Control Theory and Technology Innovation Team at Liaoning Technical University, Mr. Cheng actively collaborates with experts in the field to pioneer solutions for mining-related safety hazards. He is also part of the prestigious Chinese Society of Mechanics and contributes to the Key Laboratory of Mine Thermodynamic Disasters and Control under the Ministry of Education. His work aims to enhance safety practices and develop groundbreaking approaches in the field of mining safety.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS 

  • Mr. Cheng has conducted several significant research projects that highlight his expertise in mine gas permeability and carbon sequestration. His notable projects include:
    1. Study on Pore Damage and Infiltration Enhancement Mechanism of Liquid CO₂ Cyclic Freeze-Thaw Loaded Coal Bodies
    2. Multi-field Coupling Mechanism of Gas and Carbon Sequestration in Coal Seam Replaced by Coal-fired Power Plant Flue Gas

    His research delves into the mechanisms that underlie gas and coal seam interactions, offering insight into safer and more sustainable mining practices. His published work, “Mathematical Model of Permeability Evolution of Liquid CO₂ Pressurized Coal,” further demonstrates his commitment to advancing scientific knowledge in this area.

 📚 ACADEMIC CITES 

  • Though Mr. Cheng has not published books, his work in academic journals continues to contribute to the literature on mining safety and engineering. His role in consultancy projects like:

    • Study on the Mechanism of Coupled Disaster Causing Mechanisms of Fire and Gas in Rapidly Inclined and Spontaneously Combustible Coal Seams in Xinjiang
    • Technical Consultation on the Emergency Decision-Making Information System for Mining Accidents

    has enabled him to influence safety protocols in both academic and practical domains, supporting disaster prevention and emergency response strategies.

🌍 IMPACT AND INFLUENCE

  • Mr. Cheng’s contributions to the Science Citation Index (SCI) underscore the impact of his research on the scientific community. His work is referenced by other researchers, reflecting the broader applicability of his findings and their influence on contemporary safety engineering practices. His research offers potential solutions for mitigating hazardous conditions in coal mining, particularly in the context of gas emissions and spontaneous combustion risks.

🌟 LEGACY AND FUTURE AND CONTRIBUTIONS

  • Looking ahead, Mr. Cheng aims to expand his research in coupled disaster mechanisms and multi-field safety interventions. His focus on applying innovative technologies to control thermodynamic disasters in mines positions him as a forward-thinking expert in the field. With ongoing projects and collaborations, he is dedicated to establishing safer mining environments, reducing environmental impacts, and setting new standards for disaster prevention.

📄Publications

  • Mathematical model of permeability evolution of liquid CO₂ pressurized coal
    Author: Qixin Cheng

Zhi-Qiang Tao | Mechanical Engineering| Best Researcher Award

Published on by China Scientist

Dr .Zhi-Qiang Tao | Mechanical Engineering| Best Researcher Award

Research Contributions:
  • With over 20 peer-reviewed technical papers published in international journals and conference proceedings, Dr. Tao has significantly contributed to the understanding and advancement of his specialized research areas. His publications reflect the breadth of his knowledge and dedication to his field.
 Dr . Zhi-Qiang Tao, Zhejiang Ocean University, China

Profile

Scopus

🎓Early Academic Pursuits

  • Zhi-Qiang Tao received his Ph.D. in Mechanical Engineering from Beijing University of Technology in 2018. During his doctoral studies, Tao focused on mechanical dynamics and fatigue-related phenomena, laying the foundation for his future research in fatigue mechanisms, particularly in multiaxial and very high cycle fatigue.

💼Professional Endeavors

  • After completing his Ph.D., Zhi-Qiang Tao became a Research Assistant at the Robotics College of Beijing Union University. Here, he collaborated with colleagues on cutting-edge research in robotics and mechanical engineering, contributing significantly to the development of fatigue analysis tools and technologies. His role also involved mentoring students and assisting in various research projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

  • Zhi-Qiang Tao has focused extensively on:
    • Mechanical Dynamics
    • Multiaxial Fatigue
    • Very High Cycle Fatigue (VHCF)

    His research investigates how materials respond under extreme conditions over extended periods, helping industries understand material durability and mechanical resilience. His work has applications across sectors such as automotive, aerospace, and robotics, providing critical insights into the longevity and safety of components.

🏆IMPACT AND INFLUENCE

  • Tao’s research on very high cycle fatigue is of particular importance, as it addresses the need for understanding how materials behave under more than one million cycles of loading. His work helps improve the design of mechanical systems to avoid failures, thus enhancing safety and reliability in critical infrastructures. With over 20 peer-reviewed technical papers published in international journals and conference proceedings, his work has been widely cited and recognized. His contributions serve as a foundation for ongoing studies in fatigue failure mechanisms.

🏅ACADEMIC CITES

  • Zhi-Qiang Tao has received numerous citations in the fields of mechanical dynamics and fatigue studies, underscoring his impact on the academic community. His contributions have been referenced in studies related to material resilience, fatigue life prediction, and failure analysis, emphasizing his role in advancing the understanding of fatigue phenomena in engineering materials.

🔮LEGACY AND FUTURE CONTRIBUTIONS

  • Zhi-Qiang Tao’s legacy in the field of mechanical engineering is one of persistence and innovation. His future contributions are expected to continue influencing how industries approach material fatigue and structural design. As fatigue becomes an increasingly crucial aspect of robotic systems, Tao’s work will play a pivotal role in ensuring mechanical components can withstand extreme conditions and prolonged use. Through his research, he has not only contributed to academia but also provided valuable insights for industry applications that focus on extending the life cycle of mechanical components, enhancing both safety and performance.

📰PUBLICATIONS

  • A new probabilistic control volume scheme to interpret specimen size effect on fatigue life of additively manufactured titanium alloys
    Authors: Tao, Z.-Q., Wang, Z., Pan, X., Qian, G., Hong, Y.
    Journal: International Journal of Fatigue, 2024, 183, 108262
  •  Surface roughness prediction and roughness reliability evaluation of CNC milling based on surface topography simulation
    Authors: Zhang, Z., Lv, X., Qi, B., Zhang, M., Tao, Z.
    Journal: Eksploatacja i Niezawodnosc, 2024, 26(2), 183558
  •  Life prediction method based on damage mechanism for titanium alloy TC4 under multiaxial thermo-mechanical fatigue loading
    Authors: Li, D.-H., Shang, D.-G., Mao, Z.-Y., Cong, L.-H., Tao, Z.-Q.
    Journal: Engineering Fracture Mechanics, 2023, 282, 109206
  • Multiaxial fatigue life estimation based on weight-averaged maximum damage plane under variable amplitude loading
    Authors: Tao, Z.-Q., Qian, G., Li, X., Zhang, Z.-L., Li, D.-H.
    Journal: Journal of Materials Research and Technology, 2023, 23, pp. 2557–2575
  •  Multiaxial fatigue life prediction by equivalent energy-based critical plane damage parameter under variable amplitude loading
    Authors: Tao, Z.-Q., Qian, G., Sun, J., Zhang, Z.-L., Hong, Y.
    Journal: Fatigue and Fracture of Engineering Materials and Structures, 2022, 45(12), pp. 3640–3657