Pengkun Liu is a Professor and Doctoral Supervisor at Chongqing University. He has been selected for the National Youth Talent Program and is recognized as a Hongshen Outstanding Scholar at Chongqing University.    
   
He has participated in several major research initiatives, including sub-projects of the National Key Research and Development Program funded by the Ministry of Science and Technology. To date, he has published over 30 SCI-indexed journal papers and 16 international conference papers.

He received his Bachelor's degree in 2017 and his Master's degree in 2020, both from the School of Civil Engineering at Chongqing University. In 2020, he proceeded to Carnegie Mellon University in the United States to pursue his Ph.D. in Civil Engineering. Following his doctoral graduation in 2024, he held appointments at Carnegie Mellon University and The Hong Kong University of Science and Technology. His research focuses on the theories and methods of intelligent infrastructure construction, operation, and maintenance based on human-machine interaction.

Guest Editor for the special issue "Generative Artificial Intelligence with Digital Twin in Architecture, Engineering, and Construction" in the SCI-indexed journal Electronics.    
Guest Editor for the special issue "AI Foundation Models and Knowledge Engineering for Smart Construction and Infrastructure Systems" in the SCI-indexed journal Frontiers in Built Environment.    
Young Editorial Board Member for the journal Smart Construction. (Note: "Early Career Editorial Board Member" is also widely used and sounds slightly more natural in Western academic contexts).    
Reviewer for over 20 prestigious international academic journals, including Automation in Construction, Advanced Engineering Informatics, IEEE Transactions on Intelligent Vehicles, and Developments in the Built Environment.

1.Infrastructure Digital Twin and Intelligent Assessment Methods    
2.Theory and Methods of Intelligent Infrastructure Inspection Based on Human-Robot Collaboration    
3.Sim-to-Real Methods for the Simulation and Deployment of Special Inspection and Maintenance Robots

I. Research Projects    
[1] National Youth Talent Program, Organization Department of the Central Committee of the CPC (Principal Investigator)    
[2] National Key Research and Development Program of China (Sub-project), Ministry of Science and Technology (Participant)    
[3] Research and Application of Intelligent Hoisting Equipment and High-Altitude Auxiliary Construction Robots for Steel Structures    
[4] Research and Application of Structured Light 3D Inspection Technology for Precast Components Oriented Towards Smart Construction    
   
II. Academic Monographs    
[1] Hongtuo Qi; Yao Ding; Jiepeng Liu; Xuhong Zhou; Pengkun Liu; Mingchun Li. Applications of Deep Learning in Construction Engineering. China Architecture & Building Press, 2023.

III. Representative Publications (Maintained as provided, with minor formatting for consistency)    
[1] Liu, Pengkun; Tang, Pingbo; Liu, Jiepeng; Hou, Yu; Quantifying personality in Human-Drone interactions for building heat loss inspection with virtual reality training, Advanced Engineering Informatics, 2026, 70.    
[2] Liu, Pengkun; Qi, Hongtuo; Liu, Jiepeng; Feng, Liang; Li, Dongsheng; Guo, Jingjing; Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning, Advanced Engineering Informatics, 2023, 58.    
[3] Qiu, Zijin; Liu, Jiepeng; Xia, Yi; Qi, Hongtuo*; Liu, Pengkun*; Text semantics to controllable design: A residential layout generation method based on stable diffusion model, Developments in the Built Environment, 2025, 23.    
[4] Liu, Jiepeng; Liu, Pengkun*; Feng, Liang*; Wu, Wenbo; Li, Dongsheng; Chen, Y. Frank; Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and Building Information Modeling, Automation in Construction, 2020, 112.    
   
IV. Granted Patents    
[1] Liang Feng; Wenbo Wu; Pengkun Liu; Jiepeng Liu; Zhou Wu; An intelligent obstacle avoidance layout method for reinforcement steel at joints based on reinforcement learning, March 8, 2019, China, Patent No. CN201811115264.6.

1.Gold Award, International Project of the Higher Education Main Track, China International College Students' Innovation Competition (Hosted by the Ministry of Education), 2024.    
2.First Prize, The 7th "Longtu Cup" National BIM Contest, China Graphics Society, 2019.    
3.Lifecycle Management Application Award, The 4th buildingSMART Hong Kong International BIM Awards, 2019.    
   
   
Email: pengkunliu@cqu.edu.cn    
Google Scholar Profile: https://scholar.google.com/citations?user=onpKYQwAAAAJ&hl=en