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

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🎓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

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🎓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

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🎓 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

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

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🌱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