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My career goal is to improve the automation, resilience, and functionality of infrastructure using artificial intelligence (AI), smart sensing, and cyber-physics twins.
Current
Current
Retrieval augmented generation with LLMs for public transit
Retrieval augmented generation with LLMs for public transit
Key Participant (Aug 2025-Present)
Developing RAG using open-source LLMs for analyzing cost factors in large public transit projects.
Collaborators: Sriram Narasimhan (UCLA), Elif Ensari (NYU), Eric Goldwyn (NYU)
Monitoring and risk assessment for natural force damage to gas pipeline network
Monitoring and risk assessment for natural force damage to gas pipeline network
Key Participant (Aug 2025-Present)
Developing computational framework combining optical satellite imaging and LiDAR for ground displacement detection.
Collaborators: Sriram Narasimhan (UCLA), Debasish Jana (CSU), Yousef Bozorgnia (UCLA)
Cyber-Physical Interation for Structural Evaluation
Cyber-Physical Interation for Structural Evaluation
PI (June 2025-Present)
Developing cyber twins using data from robotic systems (e.g., drones) with pure-vision 3D reconstruction, such as 3D-Gaussian Splatting.
Collaborator: TBD
(Copyright © Bozhou Zhuang. All rights reserved for unpublished diagrams.)
Completed
Completed
PINNs for Approximating Numerical Model Error in Mechanics
PINNs for Approximating Numerical Model Error in Mechanics
Lead Researcher (October 2024-Aug 2025)
Developing physics-informed neural networks (PINNs) to predict the model errors between the reduced-order and higher-order computational mechanics models.
Collaborator: Danny Smyl (Georgia Tech), Sashank Rana (Georgia Tech), Brandon Jones (Georgia Tech)
Generative Inverse Design for Structures
Generative Inverse Design for Structures
Lead Researcher (November 2024-August 2025)
I am developing generative machine learning for design of structural cross-sections.
Collaborator: Danny Smyl (Georgia Tech)
Thermal Forecast of Used Nuclear Fuels in Dry Storage to 2050
Thermal Forecast of Used Nuclear Fuels in Dry Storage to 2050
PI (May 2024-Aug 2025)
I am leading a team to develop ML models to predict the decay heat of used nuclear fuels in actual dry cask up to year 2050.
Collaborator: Yingxiao Kong (Vanderbilt)
Explainable ML for Condition Assessment of Telecom Towers
Explainable ML for Condition Assessment of Telecom Towers
Advisor (June 2024 - June 2025)
I am advising a project to develop explainable ML to assess the conditions of 1,000+ telecommunications tower.
Collaborator: Miaoying Li (Heilongjiang Univ.), Hongshuai Gao (Heilongjiang Univ.)
Review on ML/AI in Design, Optimization, and Assessment of SCCS
Review on ML/AI in Design, Optimization, and Assessment of SCCS
PI (August 2024-January 2025)
I initiated and led this research to conduct a comprehensive literature review on ML/AI for design, optimization and assessment of steel-concrete composite structures (SCCS).
Collaborator: Xianlin Wang (Tongji Univ.), Danny Smyl (Georgia Tech), Haijun Zhou (Shenzhen), M. Z. Naser (Clemson)
Non-destructive Evaluation of Dry Storage Canisters Using Acoustic Sensing (U.S. Department of Energy Funded)
Non-destructive Evaluation of Dry Storage Canisters Using Acoustic Sensing (U.S. Department of Energy Funded)
Lead PhD Student (August 2021-September 2024)
We proposed a novel Active Noise Cancellation (ANC) method for non-invasive sensing and verified in the experiments. I also applied ANN and CNN algorithms to solve the forward and inverse problems in impurity gas sensing.
Collaborator: Bora Gencturk (PI), Assad Oberai, Ryan Meyer
Risk-informed Condition Assessment of Spent Nuclear Fuel Canisters using Experimental Measurements and High-fidelity Computational Models (U.S. Nuclear Regulatory Commission Funded)
Risk-informed Condition Assessment of Spent Nuclear Fuel Canisters using Experimental Measurements and High-fidelity Computational Models (U.S. Nuclear Regulatory Commission Funded)
Key Participant (April 2023-December 2024)
I applied machine learning algorithms to identify different levels of fuel assemblies damage using the frequency response function.
Collaborator: Bora Gencturk (PI), Roger Ghanem, Anna Arcaro
Self-healing Performance of Reinforced Concrete Beams Using Engineered Aggregates
Self-healing Performance of Reinforced Concrete Beams Using Engineered Aggregates
Assistant Researcher (April 2022-August 2022)
We applied ultrasonic pulse velocity (UPV) method to detect the self-healing performance of RC beams with PU-filled Engineered Aggregates.
Collaborator: Bora Gencturk (PI), Xiaoying Pan
Study on the shear mechanism of Rubber-Sleeved Stud connector
Study on the shear mechanism of Rubber-Sleeved Stud connector
Lead Student (September 2017-June 2020)
I conducted push-out tests on Rubber-sleeved Stud connectors and Ordinary Headed Stud connector. I performed numerical research by using ABAQUS to reveal the deformation performance and composite mechanism of Rubber-Sleeved Stud connector.
Collaborator: Yuqing Liu
Study on the rational structure of the steel box girder in the Second Eastern Channel of Xiamen
Study on the rational structure of the steel box girder in the Second Eastern Channel of Xiamen
Assistant Researcher (May 2018-May 2019)
I designed one bridge applicable for the Middle Fairway Bridge and participated in the finite element analysis of the Middle Fairway Bridge through ANSYS and wrote three chapters of the midterm research report.
Collaborator: Yuqing Liu, Liangfu Ge, Bin Xu
Shear test of steel-concrete composite structure in immersed tunnel of Shenzhen-Zhongshan Link
Shear test of steel-concrete composite structure in immersed tunnel of Shenzhen-Zhongshan Link
Assistant Researcher (June 2018-May 2020)
I participated in the shear model tests to investigate the failure modes and shearing capacity of Steel-Concrete-Steel sandwich structure.
Collaborator: Yuqing Liu, Yongxuan Li
Steel-concrete interface mechanism of steel anchor girder applied in the cable-pylon composite anchorage of Shishou Yangtze River Bridge
Steel-concrete interface mechanism of steel anchor girder applied in the cable-pylon composite anchorage of Shishou Yangtze River Bridge
Assistant Researcher (August 2017-June 2019)
I participated in model experiments and numerical analysis on the steel-concrete interface of cable-pylon composite anchorage structure.
Collaborator: Yuqing Liu, Han Yuan
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