Mr Hengyu Liu, School of Resources and Safety Engineering, Central South University, China
Hengyu Liu is a PhD candidate specializing in Geotechnical Engineering at Central South University. His research focuses on the intelligent prediction and management of geological hazards in mining environments. Liu has authored multiple papers in esteemed journals and conferences, showcasing his expertise in data-driven modeling and simulation of slope stability and rock mechanics. He holds patents and software copyrights related to mining safety technologies, underscoring his innovative contributions to the field. Liu actively participates in national research projects and has presented his work internationally, demonstrating his commitment to advancing safety engineering in resource extraction.
Publication Profile
Orcid
Education
Hengyu Liu is pursuing his PhD in Safety Engineering at Central South University. His academic journey began in 2019, focusing on civil engineering with a specialization in Geotechnical Engineering. Liu has consistently excelled academically, leveraging his expertise to explore predictive modeling techniques for assessing geological risks in mining contexts. His educational background is complemented by practical experiences in software development and patent innovations aimed at enhancing safety measures in mining operations.
ExperienceÂ
Hengyu Liu has extensive research experience in the field of Geotechnical Engineering, particularly in the application of advanced modeling techniques to predict and mitigate geological hazards. He has authored and co-authored several papers published in prestigious journals like “Nature Communications” and “Applied Sciences,” highlighting his contributions to the understanding of slope stability, rock mechanics, and landslide prediction. Liu has also led and participated in national research projects focusing on slope deformation in open-pit mines, demonstrating leadership and collaborative skills in multidisciplinary environments. His work includes the development of simulation platforms and the implementation of innovative technologies to improve safety standards in mining practices.
Research focus
Hengyu Liu’s research centers on the intelligent prediction and management of geological hazards in mining environments. He specializes in leveraging data-driven approaches and advanced modeling techniques such as deep learning and optimization algorithms to analyze and forecast slope stability, rockburst intensity, and landslide risks. Liu’s work aims to enhance safety protocols and operational efficiencies in mining operations through predictive analytics and simulation platforms. His research contributes significantly to the field of Geotechnical Engineering, addressing critical challenges in resource extraction while advocating for sustainable and safe mining practices.
Publication Top Note
“Deep learning in rockburst intensity level prediction: performance evaluation and comparison of the NGO-CNN-BiGRU-Attention model” 📚