Yang Yang | Intelligent Construction | Best Researcher Award

Assoc.Prof.Dr. Yang Yang, Chongqing University , China.

Yang Yang is the Head of the Engineering Construction Research Institute at Chongqing University, an Associate Professor, and a Doctor of Engineering. As a national-level construction engineer and outstanding young talent, she has made significant strides in intelligent construction. Yang Yang’s expertise spans the integration of digital technologies, safety systems, and advanced construction solutions. She has led multiple key projects, published extensively in top journals, authored influential textbooks, and secured numerous patents. Her pioneering work reflects her dedication to innovation and sustainable advancements in the construction industry.

Publication profile

Orcid

Education and Experience

Doctor of Engineering
Associate Professor and Master Tutor at Chongqing University
Head of the Engineering Construction Research Institute
National-Level Construction Engineer
Outstanding Young Talent in Intelligent Construction
Over 16 authorized patents, 35 journal publications in Web of Science, and editorial board roles.

Suitability For The Award

Assoc. Prof. Dr. Yang Yang, an accomplished academic and industry leader, is a deserving candidate for the Best Researcher Award. Serving as the Head of the Engineering Construction Research Institute at Chongqing University, Dr. Yang has made pioneering contributions to intelligent construction, safety analysis, and digital technologies. His extensive research portfolio includes 35 Web of Science-indexed publications, 16 invention patents, and numerous impactful industry collaborations. Recognized with prestigious awards such as the China Technology Market Golden Bridge Award, Dr. Yang’s work exemplifies innovation, excellence, and leadership in construction science, making him an ideal recipient of the Best Researcher Award.

Professional Development

Yang Yang has contributed immensely to advancing intelligent construction technologies. Her research focuses on safety systems, defect detection, and optimization of construction workflows using AI and BIM tools.

She has developed cutting-edge methods like intelligent safety analysis of formwork, evacuation route planning in dynamic environments, and parameter identification systems using computer vision.

Her leadership extends beyond academia to industry collaborations, where she has championed high-impact projects improving construction safety and efficiency. Through her work, she bridges the gap between research, education, and real-world applications.

Research Focus

Yang Yang’s research focuses on Intelligent Construction and digital transformation of the building industry. Her innovations include safety monitoring using AI, dynamic evacuation planning for construction sites, and defect detection with computer vision. She applies convolutional neural networks to identify key parameters in construction components, ensuring precision and quality. Her work emphasizes automation, sustainability, and safety across the life cycle of construction projects, including rail transit, wind power systems, and prefabricated structures. Her research accelerates industry adoption of smart and digital solutions for modern infrastructure development.

Awards and Honors

Second Prize – China Technology Market Golden Bridge Award, 2024
Second Prize – National Steel Structure Industry Digital Twin BIM Competition, 2023
Second Prize – Engineering Construction Micro-Innovation Technology Competition, 2024
Engineering Construction Science and Technology Award, 2024
Second Prize – Science and Technology Award, China Communications and Transportation Association, 2024
Second Prize – Qinghai Provincial Science and Technology Progress Award, 2021
Innovation Award – China Urban Rail Transit Science and Technology Innovation Competition, 2022

Publications Top Notes

Classification and Application of Deep Learning in Construction Engineering and Management – A Systematic Literature Review and Future Innovations (2024)
Analysis of Mechanical Properties during Construction Stages Reflecting the Construction Sequence for Long-Span Spatial Steel Structures (2024)
Study on the Influence of the Fully Enclosed Barrier on the Vortex-Induced Vibration Performance of a Long-Span Highway–Railway Double-Deck Truss Bridge (2024)
Research on Intelligent Prefabricated Reinforced Concrete Staircase Lifting Point Setting Method Considering Multidimensional Spatial Constraint Characteristics (2024)
Study on the Influence of Wind Fairing Parameters on the Aerodynamic Performance of Long-Span Double-Deck Steel Truss Suspension Bridge (2024)
Multiobject Real-Time Automatic Detection Method for Production Quality Control of Prefabricated Laminated Slabs (2024)
Conception Design of a Novel Vibration Damping Mechanism for Vibration Reduction of a High-Rise Wind Tower (2023)
Study on the Suppression Effect on Vortex-Induced Vibration of Double-Deck Truss Girder by the Spatial Position of the Deflector Plate (2023)