Luo Liang | Intelligent Construction | Best Research Award
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
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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
- National Key R&D Program (2022-2025)
- Industry Experience:
- Research Assistant (2021-Present)
– Assists in national research & academic awards
- China Resources Land Guangzhou (2019-2021)
– Participated in project planning & design
- Research Assistant (2021-Present)
Suitability Summary
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)