Deyuan Fan | Rock burst | Best Researcher Award Shandong

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Prof. Deyuan Fan | Rock burst | Best Researcher Award

Professor, University of Science and Technology, China

Fan Deyuan is a distinguished academic professor at the School of Energy and Mining Engineering. Born in 1994, he has made significant contributions to mining rock mechanics and stratum control. With a PhD in Engineering, Fan has presided over and participated in numerous national and provincial projects, publishing over 20 SCI and EI papers and authoring 14 invention patents. His research has earned him several prestigious awards, including the First Prize of Natural Science in Qingdao and the First Prize of Science and Technology Progress of the China Occupational Safety and Health Association.

Professional Profile

ORCID

šŸŽ“ Education

Fan Deyuan’s educational background is marked by academic excellence. He earned his PhD in Engineering, with a focus on mining rock mechanics and stratum control. His doctoral thesis was recognized as an Outstanding Doctoral Dissertation in Shandong Province and won the “Top Ten Graduate Dissertation Award” of Green Mine.

šŸ‘©ā€šŸ« Experience

Fan Deyuan has extensive research experience, having presided over the National Natural Science Foundation Youth Project and participated in 9 national and provincial vertical projects. He has also executed 2 million-level horizontal projects and published numerous papers in top industry journals.

šŸ† Awards and Honors

Fan Deyuan has received numerous awards for his research, including the First Prize of Natural Science in Qingdao, the First Prize of Science and Technology Progress of the China Occupational Safety and Health Association, and the Outstanding Graduate of Shandong Province award. He has also won the National Scholarship for Doctoral Students and the “Top Ten Science and Technology Elites” award.

šŸ”¬ Research Interests

Fan Deyuan’s research focuses on mining rock mechanics and stratum control. His work explores innovative methods for improving safety and efficiency in mining operations. With expertise in rock mechanics and stratum control, Fan has made significant contributions to the field, publishing numerous papers and patents.

šŸ“šTop Noted Publications

1. Over 20 SCI and EI papers published in top industry journals šŸ“š
2. 3 TOP journals publications šŸ†
3. 2 ESI hot/highly cited papers šŸ”„
4. 14 domestic and foreign invention patents authorized ļæ½äø“利
5. Participated in formulating one energy industry standard šŸ“

Conclusion

Based on his outstanding research achievements, significant funding, and leadership roles, Fan Deyuan is an excellent candidate for the Best Researcher Award. His contributions to mining rock mechanics and stratum control demonstrate his expertise and potential for further innovation. With some focus on collaboration, interdisciplinary research, and translating research into practice, he could further solidify his position as a leading researcher in his field.

Qihang Li | Mining Engineering | Best Researcher Award

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Dr. Qihang Li | Mining Engineering | Best Researcher Award

Ph.D at Chongqing University, China

Qihang Li is a doctoral candidate at Chongqing University, specializing in geotechnical engineering with a focus on slope stability and salt cavern energy storage. He has made significant contributions to the fields of mining and slope engineering, authoring 35 research papers, obtaining 14 patents, and securing 10 software copyrights. Additionally, he has written one monograph and contributed to 10 ongoing research projects. He has been instrumental in pioneering new methods for assessing slope stability and energy storage techniques. His work has led to industry collaborations, with Qihang managing multiple geotechnical projects. šŸŒšŸ“ššŸ”¬

Pofile

scopus

Education šŸŽ“šŸ“–šŸ”§

Qihang Li is pursuing a Ph.D. in Engineering at Chongqing University, where he is focusing on slope stability and salt cavern energy storage. He holds a Master’s degree in Geotechnical Engineering from the same institution. His academic journey has been characterized by a commitment to bridging theory with practical applications in geotechnical engineering, particularly in mining engineering and energy storage. He completed his undergraduate studies in civil engineering, which laid the foundation for his advanced research in slope stability and underground energy systems.

Experience šŸ”§šŸ’¼šŸ“ˆ

With a rich academic background, Qihang Li has gained substantial experience in geotechnical engineering. His work includes over 10 completed and ongoing research projects focused on slope engineering and energy storage systems. He has published extensively in prominent journals, contributing 35 articles to SCI and Scopus-indexed journals. In addition to his academic achievements, Qihang has actively participated in five industry-sponsored consultancy projects. His expertise also extends to patent development, with 14 patents and 10 software copyrights to his name. Qihang has served as an editor for “The Global Environmental Engineers” journal and has collaborated with 8 professionals in the field.

Awards and Honors šŸ…šŸ†šŸŽ–

Qihang Li has received multiple accolades for his innovative contributions to geotechnical engineering. His research has been recognized for its impact on mining engineering, slope stability, and energy storage. He has been honored with awards from both academic and industry sectors, including recognition for his published papers and patented inventions. His innovative use of image recognition technology for slope stability prediction and his numerical simulation studies on salt cavern energy storage have been highly acclaimed. Additionally, Qihangā€™s collaboration with professionals across various disciplines has earned him considerable respect within the field.

Research Focus šŸ”¬āš’ļøšŸ’”

Qihang Liā€™s research focuses on geotechnical engineering, specifically slope stability and salt cavern energy storage. His innovative approaches include using image recognition technology to predict slope stability after excavation and rainfall, as well as numerical simulations for assessing the stability of salt cavern energy storage systems. He is also involved in feasibility studies on gas storage through sediment voids. His work integrates theoretical models with real-world applications, bridging the gap between academic research and practical engineering solutions. By focusing on these critical areas, Qihang is advancing geotechnical engineering and contributing to the safe and efficient use of underground spaces for energy storage and environmental protection.

Publications

“Numerical Simulation of Overburden Deformation Mechanism and Surface Settlement Characteristics Induced by Underground Coal Mining: A Case Study”
Authors: Qihang Li, Yunmin Wang, Jiawen Wang, Bin Gong, Xiaoshuang Li
Published in Geological Journal, 2025
Citations: 0

“Evolutionary Characteristics of the Fracture Network in Rock Slopes Under the Combined Influence of Rainfall and Excavation”
Authors: Qihang Li, Yunmin Wang, Xiaoshuang Li, Bin Gong, Song Jiang
Published in Bulletin of Engineering Geology and the Environment, 2025
Citations: 0

“Comprehensive Safety Assessment of Two-Well-Horizontal Caverns with Sediment Space for Compressed Air Energy Storage in Low-Grade Salt Rocks”
Authors: Qihang Li, Wei Liu, Liangliang Jiang, Jifang Wan, Xuanshi Zhu
Published in Journal of Energy Storage, 2024
Citations: 0

Conclusion

Dr. Qihang Liā€™s work in geotechnical and mining engineering stands out for its scientific rigor, practical application, and innovative approaches. His notable achievements in research, patents, and industry collaborations position him as an ideal candidate for the Best Researcher Award. By further expanding his interdisciplinary collaborations and sustainability-focused research, he has the potential to shape the future of mining engineering and geotechnical research. His recognition would be a testament to his outstanding contributions to the field.

Liu yingying | Transportation | Best Researcher Award

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Prof. Dr. Liu yingying | Transportation | Best Researcher Award

Prof. Dr.at School of Intelligent Science and Information Engineering, China

Ying-Ying Liu is a Professor at Shenyang University, specializing in control theory, cyber-physical systems, and Industrial Internet technologies. She earned her master’s and Ph.D. degrees in control theory and engineering from Shenyang University of Technology and Northeastern University, respectively. With a passion for intelligent transportation and adaptive control, she leads innovative projects in data prediction and system automation.

Publication Profile

orcid

šŸŽ“ Education

Master’s in Control Theory and Control Engineering, Shenyang University of Technology (2006) Ph.D. in Control Theory and Control Engineering, Northeastern University (2011)

šŸ’¼ Experience

Professor, Shenyang University (2024ā€“Present) Researcher in Industrial Internet and cyber-physical systems Extensive teaching and mentorship in control theory and adaptive systems

šŸ† Awards and Honors

Excellence in Research Award, Shenyang University Best Paper Award at International Control Systems Conference Recognition for Outstanding Contributions to Intelligent Transportation Innovation

šŸ”¬ Research Focus

Industrial Internet Technology Intelligent Transportation System Data Prediction Adaptive Control of Cyber-Physical Systems Automation and Smart Manufacturing

Publications šŸ“–

 

Teaching Design and Implementation of Traffic System Simulation Course Based on Computer Virtual Reality Software under the Background of Engineering Education

šŸ—“ļø Published:
September 2024

šŸ“š Journal:
Computer Applications in Engineering Education

šŸ”— DOI:
10.1002/cae.22769

šŸ‘©ā€šŸ« Contributors:

Ying-Ying Liu

Dan-Ping Wang

Jing Gu

Yuan-Fang Fu

 

šŸ”¹ Conclusion

Ying-Ying Liuā€™s expertise in control engineering and her forward-thinking research in transportation and cyber-physical systems make her a strong candidate for the Best Researcher Award. With continued focus on global recognition and applied research, she is well-positioned to be a frontrunner in her field.

Chunde Piao | coal mine geological | Best Researcher Award

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Dr. Chunde Piao | coal mine geological | Best Researcher Award

professor, China University of Mining and Technology, China

Chunde Piao is a Professor in the Department of Geological Engineering at the School of Resources and Geosciences, China University of Mining and Technology (CUMT). His expertise lies in coal mine geological engineering, with a focus on health monitoring and stability. Leading over 20 national projects, he has authored 30+ papers and holds 8 invention patents. Piao has been recognized with 6 provincial and ministerial-level awards, including the prestigious National Science and Technology Progress Award.

Publication Profile

Scopus

šŸŽ“ Education

šŸ“… 2005.9-2008.6 ā€“ Ph.D. in Geological Engineering, Nanjing University šŸ“… 2001.9-2004.7 ā€“ M.S. in Geological Engineering, Liaoning Technical University Ā 1997.9-2001.7 ā€“ B.S. in Geological Engineering, Liaoning Technical University

šŸ› ļø Experience

Since July 2008, Chunde Piao has been a faculty member at CUMT, focusing on coal mine geological monitoring. He pioneered the use of distributed fiber optic sensing technology in monitoring coal mine geological disasters, developing methods to detect mining-induced fractures and subsidence. His work has advanced transparent geological modeling using fiber optics.

šŸ† Awards and Honors

šŸ„‡ National Science and Technology Progress Award (2018) ā€“ Distributed Fiber Optic Monitoring šŸ„‡ Ministry of Education Technological Invention Award (2018) ā€“ Multi-field Fiber Optic Monitoring šŸ„‡ Science and Technology Progress Award (2009) ā€“ Brillouin Scattering Fiber Optic Technology

šŸ“” Research Focus

Piao’s research focuses on coal mine health monitoring using distributed fiber optic sensing. His contributions include innovative detection methods for mining-induced overburden, subsidence modeling, and fracture identification. He aims to enhance geological transparency and safety in coal mining through advanced sensing technologies.

Publications šŸ“–

Prediction Methods for Coal Mining Surface Subsidence ā€“ Using the MMF optimization model, this paper addresses subsidence prediction in coal mining.

Transparency of Coal Mine Geological Conditions ā€“ Focuses on the use of distributed fiber-optic sensing technology to improve the understanding of coal mine geological conditions.

Subsidence Prediction for Water-Conducting Fracture Zones ā€“ Applies Grey Theory to predict subsidence in fracture zones in coal mines.

Force Model of Squeezed Branch Piles ā€“ Studies the surface potential characteristics of squeezed branch piles under different forces.

Overburden Subsidence in Mined-Out Areas ā€“ Uses Brillouin optical time-domain reflectometer technology to calculate overburden subsidence in mining regions.

Water-Flowing Fracture Zone Calculation ā€“ Utilizes DOFS technology to calculate the height of the water-flowing fractured zone in overlying strata during mining.

Deformation Prediction Model ā€“ Combines machine learning and distributed optical fiber sensing technology to predict overburden deformation in mining operations.

Overburden Settlement in Backfill Mining ā€“ Based on fiber Bragg grating technology, this study investigates the settlement patterns in mined coal seams.

Overburden Strata Movement Under Mining ā€“ Examines the movement and evolution of overburden strata using distributed optical fiber monitoring.

Effect of Mining Subsidence on Soil Properties ā€“ Simulates the impact of mining subsidence on key soil properties.

Conclusion

Dr. Chunde Piao is a distinguished researcher whose contributions to coal mine geological engineering and geological disaster monitoring have significantly advanced the field. His innovative use of distributed fiber optic sensing technology to predict coal mine subsidence and enhance geological stability is groundbreaking. With a strong record of national and international recognition, he is highly deserving of the Best Researcher Award. By continuing to expand his collaborations and interdisciplinary research, Dr. Piao has the potential to make even greater contributions to the sustainable development of the mining industry and its associated technologies.