Dong Zikai – TBM Intelligent construction – Best Researcher Award

Dong Zikai - TBM Intelligent construction - Best Researcher Award

Beijing Jiaotong University - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dong Zikai embarked on his academic journey with a Bachelor's degree in Civil Engineering from Southwest Jiaotong University, Chengdu, China, in 2015. He continued his studies with a Master's degree in Architecture and Civil Engineering from Beijing Jiaotong University in 2019. Currently, he is pursuing a Ph.D. in Civil Engineering at Beijing Jiaotong University, where his research focuses on intelligent assistance technology for Tunnel Boring Machine (TBM) tunnelling.

PROFESSIONAL ENDEAVORS

As a doctoral student in the Department of Geotechnical Engineering at Beijing Jiaotong University, Dong Zikai has made significant contributions to his field. Under the guidance of Professor Li Xu, he has been involved in several research projects and has demonstrated exceptional academic performance. Dong has also participated in competitions such as the TBM competition and the "Huawei Cup" Chinese Graduate Students Artificial Intelligence Innovation Competition, where he achieved notable success.

CONTRIBUTIONS AND RESEARCH FOCUS

Dong Zikai's research is centered on TBM intelligent construction, with a specific focus on developing intelligent assistance technology. His work has led to the publication of several academic papers in reputable journals, including Automation in Construction and Georisk. His research contributions extend to the development of convolutional neural network-based models for recognizing TBM rock chip gradation, denoising methods in TBM rock fragmenting data, and classification prediction of surrounding rock based on TBM muck images.

IMPACT AND INFLUENCE

Dong Zikai's research has made a significant impact on the field of geotechnical engineering, particularly in the realm of TBM intelligent construction. His innovative approaches and methodologies have advanced our understanding of TBM tunnelling processes and have practical implications for improving construction efficiency and safety. Dong's publications have garnered attention within the academic community, further solidifying his influence and recognition in the field.

ACADEMIC CITES

Dong Zikai's research findings have been published in prestigious academic journals and have been cited by fellow scholars and researchers. His work on TBM intelligent construction has contributed to the body of knowledge in geotechnical engineering and has been referenced in related studies and publications. Dong's citations reflect the relevance and impact of his research on the broader academic community.

LEGACY AND FUTURE CONTRIBUTIONS

As Dong Zikai continues his doctoral studies and research endeavors, he is poised to make further contributions to the field of geotechnical engineering, particularly in the area of TBM intelligent construction. His innovative research methodologies and technological advancements have the potential to revolutionize TBM tunnelling practices, leading to safer, more efficient, and sustainable infrastructure development. Dong's commitment to academic excellence and his dedication to advancing the field ensure a promising legacy and future contributions in geotechnical engineering.

NOTABLE PUBLICATION

Experimental Study on Instant Grouting with Formwork for Tunnels 2022 (2)

Classification Prediction of Surrounding Rock Based on TBM Muck Images 2023

Experimental Investigation on Mechanical Characteristics of Waterproof System for Near-Sea Tunnel: A Case Study of the Gongbei Tunnel 2020 (11)

Xu Li – TBM Intelligent construction – Best Researcher Award

Xu Li - TBM Intelligent construction - Best Researcher Award

Beijing Jiaotong University - China

AUTHOR PROFILE

Scopus
ORCID

EARLY ACADEMIC PURSUITS

Dr. Xu Li embarked on his academic journey with a Bachelor's degree in Hydraulic and Hydropower Engineering from Tsinghua University, Beijing, China, in 2001. He continued his studies with a Master's degree in Hydraulic Structure Engineering from Tsinghua University in 2004. Dr. Li further pursued a Ph.D. in Civil Engineering at The University of Science and Technology, Hong Kong, graduating in 2009. His academic pursuits laid a solid foundation for his future endeavors in the field of geotechnical engineering, with a focus on special soil mechanics and TBM automatic control algorithms.

PROFESSIONAL ENDEAVORS

Dr. Xu Li has accumulated a wealth of professional experience throughout his career. He served as a Post-Doctoral Fellow at The University of Science and Technology, Hong Kong, from January to June 2009, where he conducted research on the failure mechanisms of rainfall-induced landslides. Subsequently, he worked as an Associate Professor at the Department of Geotechnical Engineering, School of Civil Engineering, Beijing Jiaotong University, China, from September 2009 to November 2016, and later as a Professor from December 2016 to the present. His responsibilities included teaching undergraduate and postgraduate courses in soil mechanics, consulting on geotechnical engineering projects, and supervising student research.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Xu Li's research primarily focuses on TBM (Tunnel Boring Machine) intelligent construction and special soil mechanics. He has made significant contributions to the field through his publications and projects. His research endeavors have led to advancements in the prediction of TBM performance, real-time perception methods for rock conditions in TBM construction, and cross-project utilization of TBM construction data. Dr. Li's work has not only enhanced our understanding of geotechnical engineering but also contributed to the development of innovative technologies for infrastructure projects.

IMPACT AND INFLUENCE

Dr. Xu Li's research has had a notable impact on the field of geotechnical engineering. His publications have been widely cited in academic literature, indicating the relevance and significance of his work. Moreover, Dr. Li's involvement in professional societies and committees, such as the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE), underscores his influence and recognition within the global geotechnical community. His contributions to TBM intelligent construction and special soil mechanics continue to shape the future of geotechnical engineering practice.

ACADEMIC CITES

Dr. Xu Li's research findings have been published in reputable journals and conference proceedings, garnering citations from scholars and researchers worldwide. His work on TBM construction methods, rock condition characterization, and soil mechanics has contributed to the advancement of knowledge in geotechnical engineering. The impact of his research is evident in the numerous citations his publications have received, highlighting the significance of his contributions to the field.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Xu Li's dedication to TBM intelligent construction and special soil mechanics positions him as a leading figure in geotechnical engineering. His ongoing research and collaborations are poised to further expand our understanding of underground construction methods and soil behavior. Through his continued efforts, Dr. Li aims to address emerging challenges in infrastructure development and pave the way for sustainable and efficient construction practices.

NOTABLE PUBLICATION

MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting 2024