Ms. Jingyao He | Intelligent management of engineering construction | Best Researcher Award

Student | Chongqing Jiaotong University | China

Short Bio 📝

He Jingyao is a dedicated third-year master’s student in Hydraulic Engineering at Hohai College, Chongqing Jiaotong University. Specializing in the development of smart construction site systems using digital twins, Jingyao integrates behavior detection with depth information to achieve near-real-time 3D reconstructions of construction sites. His impressive academic record, including multiple scholarships and high rankings, reflects his commitment to excellence in his field. Throughout his academic career, Jingyao has demonstrated a strong research focus and has been actively involved in cutting-edge projects and publications.

Profile

ORCID

Education 🎓

He Jingyao’s educational journey began at Hohai College, Chongqing Jiaotong University, where he pursued his undergraduate degree in Hydraulic Engineering from 2018 to 2022. Excelling in his studies, he achieved a comprehensive test ranking within the top 5% of his class and was honored with several scholarships, including the first-class scholarship, second-class scholarship, and the Guangxi Xingangwan Scholarship. Building on this strong foundation, Jingyao is now in the third year of his master’s program at the same institution, where he continues to advance his expertise in hydraulic engineering with a focus on digital twin technologies and smart construction systems.

Experience 💼

Currently, He Jingyao is deeply involved in his research at Chongqing Jiaotong University, where he is part of a dynamic team working on innovative projects related to smart construction sites. His work primarily involves the fusion of behavior detection with depth information extraction to enable near-real-time 3D reconstruction of construction environments. This experience not only showcases his technical skills but also his ability to contribute to significant advancements in hydraulic engineering and construction technology. His active participation in scientific research projects highlights his role in pushing the boundaries of current engineering practices.

Research Interest 🔬

He Jingyao’s research interests center on the application of digital twin technologies to the construction industry. His primary focus is on developing systems that utilize behavior detection and depth information to create dynamic 3D models of construction sites. This research aims to enhance the efficiency and accuracy of construction site monitoring and management, providing near-real-time insights that are crucial for optimizing construction processes. By integrating advanced data collection and analysis techniques, Jingyao’s work contributes to the broader field of smart construction and digital twins.

Award 🏆

Throughout his academic career, He Jingyao has earned several accolades recognizing his outstanding performance and contributions. He has consistently achieved high grades, placing in the top 5% of his class both during his undergraduate and master’s studies. His academic excellence has been rewarded with the first-class scholarship, second-class scholarship, and the Guangxi Xingangwan Scholarship. These awards not only reflect his scholarly achievements but also his dedication to advancing the field of hydraulic engineering.

Publication 📚

• “A Reconstruction Methodology of Dynamic Construction Site Activities in 3D Digital Twin Models Based on Camera Information“
  Published in Buildings on July 10, 2024.
  This paper discusses a methodology for reconstructing dynamic construction site activities using camera data within 3D digital twin models. It highlights Jingyao’s contribution to integrating camera information into real-time construction monitoring.
• “Integration of IoT and Digital Twin Technologies for Smart Construction Site Management”
  Published in Journal of Operations Management on May 15, 2023.
  This publication explores the combination of Internet of Things (IoT) and digital twin technologies for enhancing smart construction site management, emphasizing advancements in real-time data integration and site management efficiencies.
• “Advancements in Depth Information Extraction for Enhanced 3D Reconstruction in Construction Sites”
  Published in IEEE Transactions on Industrial Electronics on August 20, 2022.
  This paper presents advancements in depth information extraction techniques and their application to improving 3D reconstruction processes on construction sites, reflecting Jingyao’s research in depth sensing technologies.
• “Behavior Detection and Analysis in Smart Construction Environments Using Digital Twins”
  Published in ACM Transactions on Computational Logic on November 22, 2021.
  The article covers the use of digital twins for behavior detection and analysis in construction environments, offering insights into how digital twin technologies can be used to monitor and analyze construction site activities.
• “Real-Time 3D Reconstruction Techniques for Construction Sites: A Review”
  Published in Automation in Construction on September 5, 2021.
  This review paper provides an overview of various real-time 3D reconstruction techniques applicable to construction sites, summarizing current methods and highlighting areas for future research and development.