Kaixi Shi | Two-dimensional materials | Best Researcher Award

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Ms. Kaixi Shi | Two-dimensional materials | Best Researcher Award

lecturer at  Changchun University of Science and Technology, China

Chunde Piao is a distinguished researcher 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, focusing on health monitoring and stability analysis. He has led over 20 national and provincial-level research projects, authored 30+ publications, and holds 8 invention patents. His contributions to distributed fiber optic sensing technology have garnered him six prestigious awards, including the First Prize of the National Science and Technology Progress Award.

Professional Profiles:

scopus

🎓 Education

📜 Ph.D. in Geological Engineering, Nanjing University (2005-2008)🎓 M.S. in Geological Engineering, Liaoning Technical University (2001-2004)🎓 B.S. in Geological Engineering, Liaoning Technical University (1997-2001)

👨‍🔬 Experience

🏫 Professor, China University of Mining and Technology (2008-present)🏗️ Pioneered distributed fiber optic sensing technology in coal mine monitoring🧪 Developed subsidence prediction models and transparent geological perception systems

🏆 Awards and Honors

First Prize, National Science and Technology Progress Award (2018)🏅 First Prize, Ministry of Education Technological Invention Award (2018)🏅 First Prize, Ministry of Education Science and Technology Progress Award (2009)

🔍 Research Focus

🏭 Coal mine geological disaster monitoring📡 Distributed fiber optic sensing technology🌍 Overburden fracture detection and subsidence prediction🛠️ Multi-field geological engineering applications

✍️Publications Top Note :

Research on prediction method of coal mining surface subsidence based on MMF optimization model” – Scientific Reports, 2024.

“Research on transparency of coal mine geological conditions using distributed fiber-optic sensing” – Deep Underground Science and Engineering, 2024.

“Subsidence prediction method of water-conducting fracture zone in coal mines using grey theory” – Water (Switzerland), 2023 (7 citations).

“Force model of squeezed branch piles based on surface potential characteristics” – Buildings, 2023 (4 citations).

“Calculation model of overburden subsidence using Brillouin optical reflectometry” – Int. J. Rock Mechanics & Mining Sciences, 2021 (22 citations).

“DOFS-based height calculation of water-flowing fractured zone” – Geofluids, 2021 (5 citations).

“Predictive model of overburden deformation using machine learning and DOFS” – Engineering Computations, 2020 (4 citations).

“Model test study on overburden settlement in backfill mining using fiber Bragg grating” – Arabian J. Geosciences, 2019 (22 citations).

“Experimental study on overburden strata under reamer-pillar coal mining with DOFS” – Energies, 2019 (11 citations).

“Simulation on mining subsidence’s influence on soil properties” – Journal of China Coal Society, 2017 (16 citations)

Conclusion

Chunde Piao’s remarkable contributions to coal mine monitoring and geological engineering, coupled with his leadership in national projects and groundbreaking technological developments, make him an outstanding candidate for the Best Researcher Award. His profile exemplifies innovation, scientific excellence, and dedication to advancing critical areas in geological engineering. By broadening international collaborations and focusing on industry applications, Piao’s influence and eligibility for top-tier research awards will continue to grow.