Zilong she | Mine geophysics | Best Researcher Award

Mr. Zilong she | Mine geophysics | Best Researcher Award

Zilong she – Mine geophysics : Master’s student at China University of Mining and Technology, China

Zilong She is a dedicated master’s student and emerging researcher at the China University of Mining and Technology. With a strong foundation in geophysical exploration and mine safety, Zilong has been an active contributor to advancing safe and effective mining practices. Working under the National Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance in Deep Space, he has quickly distinguished himself through innovative research in seismic-electric detection and distributed fiber-optic acoustic wave sensing. His work addresses critical safety concerns in mining, focusing on the damage mechanism of coal bed roofs and stress monitoring methods. Zilongā€™s research has already led to multiple patents and publications in reputable journals, underscoring his potential as an influential researcher in his field.

Profile Verification

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Education

Zilongā€™s educational journey at the China University of Mining and Technology has been both rigorous and transformative. His studies have been closely tied to practical applications in mining safety, and he has leveraged the universityā€™s advanced research facilities to conduct in-depth investigations in geophysical exploration. As a student in a nationally renowned institution, Zilong has benefited from a curriculum that balances theory with practical application, equipping him with the knowledge and skills essential for tackling complex mining issues. His education has provided a strong foundation for his work in cutting-edge technologies and innovative research methodologies.

Experience

Despite being in the early stages of his career, Zilong has accumulated significant research experience through his involvement in both academic and industry projects. He has contributed to two national research projects and four major research initiatives focused on advancing safety protocols and exploration technologies in the mining sector. Through these experiences, he has developed expertise in project management, data analysis, and applied research methods. His work on over-the-horizon detection and intelligent monitoring systems has positioned him as a key member of his research team. Zilongā€™s hands-on experience with real-world projects in collaboration with industry partners has deepened his understanding of mining safety issues and enriched his research perspective.

Research Interests

Zilongā€™s research is centered on geophysical exploration and mine safety, with a specialized focus on seismic-electricity detection methods and distributed fiber-optic sensing. His projects explore innovative ways to enhance the detection and monitoring of stress-induced fissures within mine structures. By integrating seismic and electric detection methods, he aims to improve the accuracy of fault and stress monitoring in coal beds. Zilong is particularly interested in the application of fiber-optic acoustic sensing to capture precise data on structural stability, which has practical implications for predicting and preventing accidents in mines. His research is driven by a commitment to developing technology that supports safe mining operations and protects workers in hazardous environments.

Awards

As a promising researcher, Zilongā€™s contributions have earned him recognition within his university and among his peers. Although he has not yet received formal awards, his work has been acknowledged through selection in high-impact research projects and his contributions to national projects. His mentors and colleagues regard him as a talented researcher with a strong aptitude for innovative problem-solving. As he continues to publish and expand his research portfolio, Zilong is likely to garner further accolades in recognition of his impactful work.

Publications

“Study on Coal Seam Roof Failure Based on Optical Fiber Acoustic Sensing and the Parallel Electrical Method” ā€“ MDPI Energies, 2023; cited by [5 articles].
“Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models” ā€“ Applied Sciences, 2023; cited by [3 articles].
“Current Situation and Development Trend of Mining Underground Space Exploration Technology” ā€“ China Coal Journal, 2024; cited by [2 articles].

Conclusion

Zilong She stands as an exemplary candidate for the Best Researcher Award due to his strong academic background, hands-on research experience, and dedication to advancing safe mining practices. His contributions to seismic-electric detection and fiber-optic sensing technology offer practical solutions to critical safety challenges in mining. While still early in his career, Zilong has shown remarkable potential, evidenced by his patents, publications, and collaborative projects. Awarding him this recognition would acknowledge his accomplishments and encourage his continued contributions to the field of geophysical exploration and mine safety.

Saeid zare | Mineral processing | Best Researcher Award

Mr. Saeid zare | Mineral processing | Best Researcher AwardĀ 

Researcher | Shahid Bahonar University of Kerman | Iran

Saeid Zare is a distinguished mining engineer specializing in mineral processing and comminution. He holds both a Bachelorā€™s and Masterā€™s degree in Mining Engineering from Shahid Bahonar University of Kerman, Iran. His academic achievements and professional expertise in optimizing and designing mineral processing circuits have earned him recognition as an elite by Iran’s National Elites Foundation in 2019 and 2023. Over his career, Zare has significantly contributed to various industrial projects and research endeavors, particularly in the areas of flotation, comminution, and sustainable mineral processing.

Education

Saeid Zare completed his Masterā€™s degree in Mining Engineering with a focus on mineral processing at Shahid Bahonar University of Kerman, where he was recognized as a top student. His Masterā€™s thesis addressed the challenges of controlling secondary and tertiary crushing circuits at the Sarcheshmeh Copper Complex. He earned his Bachelorā€™s degree in Mining Engineering from the same institution, where his undergraduate thesis explored the feasibility of removing silica from iron ore concentrates through flotation.

Experience

Zare’s extensive professional experience spans over nine years, working with major Iranian mining and industrial companies such as the Sarcheshmeh Copper Complex and Gol-E-Gohar Iron Ore Company. His roles have included optimizing crushing and screening circuits, designing dewatering circuits, and troubleshooting mineral processing issues. Notably, he has led numerous funded projects aimed at enhancing plant performance and efficiency. He is currently involved in designing and optimizing mineral processing systems and has collaborated with universities and research institutions on various projects.

Research Interests

Saeid Zare’s research interests are centered on optimizing comminution circuits, dewatering processes, and mineral separation technologies. He is particularly focused on sustainable mineral processing practices, including reducing energy, water, and grinding media consumption. His research also explores machine learning applications in mineral processing and the development of optimal processing flowsheets for iron and copper ores.

Awards

Saeid Zare has been recognized as an elite by Iran’s National Elites Foundation in 2019 and 2023. He also received accolades for his innovative contributions to mineral processing, including a notable mention for his idea at the Gol-E-Gohar technological ideas development event in 2023. His academic and professional excellence has been acknowledged with multiple awards throughout his career.

Publications

Saeid Zare has contributed to several high-impact journals. Here are some of his notable publications:

Zare, S., Yahyaei, M. (2024). ā€œOptimisation of vibrating mills operation ā€“ Case study: A copper processing application.ā€ 18th European Symposium on Comminution & Classification (ESCC 2024).

Zare, S., Arghavani, E., Qaredaqi, M., Saedi, M. (2022). ā€œSome Opportunities to Increase Performance of Tailing Thickener Case Study: Gol-E-Gohar Iron Ore Beneficiation Plant.ā€ International Journal of Mining and Geo-Engineering.

Nematollahi, E., Zare, S., Maleki-Moghaddam, M., Ghasemi, A., Banisi, S. (2021). ā€œDEM-based design of feed chute to improve performance of cone crushers.ā€ Minerals Engineering, 168, 106927.

Zare, S., Maleki-Moghaddam, M., Pourshaabadi, J. (2021). ā€œLow-cost Approaches to Promote Performance of Comminution Circuit at Steel-Sirjan Iron Ore Complex.ā€ Journal of Mining and Environment.