Dr.Luo Liang , Harbin Institute of Technology , China.
Dr.Luo Liang is an Assistant Researcher specializing in intelligent construction and bridge engineering. he is a member of the Chinese Communist Party. He is currently pursuing a Ph.D. in Civil Engineering at Harbin Institute of Technology (HIT), focusing on AI-driven sustainable bridge maintenance and intelligent construction. Luo has published over ten high-impact SCI papers and has contributed to key national research projects. His expertise includes AI-driven decision-making for structural health monitoring and high-performance building connections. Luo is skilled in MATLAB, Python, CAD, and simulation software like Abaqus and ANSYS. 
Publication Profile
Education & Experience 
- Ph.D. in Civil Engineering (2021.09–2025.01) – Harbin Institute of Technology (C9)
- Research: Sustainable bridge assessment, AI-driven maintenance
- Advisors: Prof. Lü Dagang, Prof. Jia Mingming
- GPA: 3.56/4
- M.Sc. in Civil & Transportation Engineering (2018.09–2021.06) – South China University of Technology (985)
- Research: High-performance building connections
- Advisor: Prof. Wang Zhan
- GPA: 3.54/4
- B.Sc. in Civil Engineering (2014.09–2018.06) – East China Jiaotong University
- GPA: 3.86/4 (Top 5%)
- Courses: Concrete & Steel Structure Design, Bridge Engineering
- Research Projects:
- National Key R&D Program (2022-2025)
– AI-based dynamic maintenance for bridges
- National Natural Science Foundation Key Project (2017-2021) – High-performance structural connections
- Industry Experience:
- Research Assistant (2021-Present) – Assists in national research & academic awards
- China Resources Land Guangzhou (2019-2021) – Participated in project planning & design
Suitability Summary
Dr. Liang Luo’s research in Intelligent Construction and Bridge Engineering exemplifies cutting-edge advancements in sustainable infrastructure and structural performance analysis. With over 10 high-impact publications in renowned journals such as Engineering Structures, Construction and Building Materials, and the Journal of Cleaner Production, his work has significantly contributed to the evolution of civil engineering methodologies. His award-winning study, “Experimental Study and Theoretical Prediction of Axial Compression Behavior in PMC-Reinforced CFST Columns with Void Defects”, recognized with the Best Research Award, underscores his expertise in enhancing structural resilience and efficiency. His contributions align perfectly with the pursuit of innovative, eco-friendly construction solutions that redefine the future of intelligent engineering.
Professional Development
Dr.Luo Liang is dedicated to advancing intelligent construction through AI and digital modeling. His Ph.D. research focuses on integrating AI-driven maintenance strategies for bridge structures, leveraging big data analytics, IoT sensing, and structural health monitoring. Luo’s expertise extends to high-performance structural connections, enhancing infrastructure resilience. He has hands-on experience with simulation tools like Abaqus, ANSYS, and Midas Civil, as well as programming languages such as Python and MATLAB. Additionally, he actively contributes to national research projects, optimizing AI-driven decision-making in civil engineering. His work bridges the gap between traditional structural engineering and emerging intelligent technologies.
Research Focus 
Dr.Luo Liang specializes in Intelligent Construction & Bridge Engineering, integrating AI-driven decision-making into infrastructure maintenance. His research revolves around:
- Sustainable Bridge Assessment – AI-powered maintenance strategies
- Smart Infrastructure Monitoring – IoT-based predictive analytics
- Structural Health Diagnosis – Digital modeling & 3D reconstruction
- High-Performance Structural Connections – Experimental studies & simulations
- Lifecycle Structural Analysis – Failure probability & serviceability evaluations
His work aims to improve infrastructure safety, sustainability, and efficiency through advanced computational models and intelligent monitoring technologies.
Awards & Honors
- National Ph.D. Scholarship & Inspirational Scholarship
- Outstanding Graduate & Excellent Party Member
- Top 3 in University Bridge Design Competition
- Outstanding Student Leader & Three-Good Student Award
- Reviewer for SCI-indexed Journals – Conducts annual peer reviews for top research publications
Publication Top Notes
- “Exploration of the behavior and evolution features of beam-column joints with T-stub using the structural strain energy method” (2024)
- “Experimental study and analytical modeling of tensile performance of ultra-high-performance concrete incorporating modified recycled aggregates” (2024)
- “Experimental study and theoretical prediction of axial compression behavior in PMC-reinforced CFST columns with void defects” (2024)
- “The treated recycled aggregates effects on workability, mechanical properties and microstructure of ultra-high performance concrete co-reinforced with nano-silica and steel fibers” (2024)
- “Seismic behavior of reduced beam section joints considering concrete floor effect” (2024)
- “Evolution characteristics and performance evaluation of extended end-plate joints with single and double side connections under cyclic loading” (2024)