Publications
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Papers
- (2025) Recent developments in bridge scour monitoring in the UK and Ireland. In proceedings of the 3rd Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT2025), 2-5 September 2025, Dublin, Ireland. DOI Online pdf
- (2025) State-of-the-art review of vibration-based bridge health monitoring using Artificial Intelligence. In proceedings of the 3rd Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT2025), 2-5 September 2025, Dublin, Ireland. DOI Online pdf
- (2025) Structural safety assessment of bridge via FSI and concrete damage plasticity under barge-bridge collision. Structures, 82, 110586. DOI Online
- (2025) Identifying Critical Category Combinations of Bridge Cables at Risk of Internal Resonances Using Data Mining Technology. Journal of Bridge Engineering, 31(1), 04025085. DOI Online
- (2025) "What you need is data!": Physics-guided TimeGAN for data expansion in bridge SHM. In proceedings of the 11th International Conference: Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2025), 2-4 July 2025, Porto, Portugal. DOI pdf
- (2025) Extraction of Time-varying Bridge Frequency from Responses of Two-axle vehicles. In proceedings of the 11th International Conference: Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2025), 2-4 July 2025, Porto, Portugal. DOI pdf
- (2025) Prediction of asphalt rheological properties for paving and maintenance assistance using explainable machine learning. Fuel, 396, 135319. DOI Online pdf
- (2025) Robot-based bridge indirect monitoring leveraging road data filtering for modal frequency estimation. Structure and Infrastructure Engineering, , 1-23. DOI Online pdf
- (2025) Indirect footbridge damage classification using explainable deep learning: A field-testing study. In proceedings of the 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 13), 1-5 September, 2025, Graz, Austria. DOI pdf
- (2025) Drive-by monitoring using adjacent road information to estimate bridge dynamics. In proceedings of the Ninth International Symposium on Life-Cycle Civil Engineering (IALCCE 2025), 15-19 July, 2025, Melbourne, Australia. DOI pdf
- (2025) Human threats in AI-driven asset management systems: A case study on vibration-based bridge SHM. In proceedings of the Ninth International Symposium on Life-Cycle Civil Engineering (IALCCE 2025), 15-19 July, 2025, Melbourne, Australia. DOI pdf
- (2025) Rapid influence line identification for bridges using dynamic responses induced by two passages of a two-axle vehicle. In proceedings of the Ninth International Symposium on Life-Cycle Civil Engineering (IALCCE 2025), 15-19 July, 2025, Melbourne, Australia. DOI pdf
- (2025) Explainable machine learning for multiscale thermal conductivity modeling in polymer nanocomposites with uncertainty quantification. Composite Structures, 370, 119292. DOI Online pdf
- (2025) A standardized framework for estimating in-plane modal properties of cable-stayed bridges with algebraic solutions. International Journal of Structural Stability and Dynamics, Online Ready. DOI Online
- (2024) Investigation of time-varying frequencies of two-axle vehicles and bridges during interaction using drive-by methods and improved multisynchrosqueezing transform. Mechanical Systems and Signal Processing, 220, 111677. DOI Online pdf
- (2024) Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks. Automation in Construction, 166, 105587. DOI Online pdf
- (2024) Crowd-sensing drive-by monitoring for bridge frequency identification. In proceedings of the 12th Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability (IABMAS 2024), 24-28 June, 2024, Copenhagen, Denmark. DOI pdf
- (2024) Bridge damage classification using multiple responses of vehiclesand 1-D convolutional neural networks. In proceedings of the 12th Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability (IABMAS 2024), 24-28 June, 2024, Copenhagen, Denmark. DOI pdf
- (2024) “Why Should I Trust You?”: Exploring Interpretability in Machine Learning Approaches for Indirect SHM. In proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), 10-13 June, 2024, Potsdam, Germany. Online pdf
- (2024) Crowdsensing-based automatic bridge health condition assessment using drive-by measurements and deep learning. In proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), 10-13 June, 2024, Potsdam, Germany. Online pdf
- (2024) Fooling Deep-Learning-Based Bridge Health Monitoring Models: A Hacker Vehicle. Available at SSRN. DOI Online pdf
- (2024) Indirect frequency identification of footbridges with pedestrians using the contact-point response of shared scooters. Journal of Bridge Engineering, 29, 04024036. DOI Online pdf
- (2024) Physics-guided diagnosis framework for bridge health monitoring using raw vehicle accelerations. Mechanical Systems and Signal Processing, 206, 110899. DOI Online pdf
- (2023) Bridge Frequency Identification in City Bus Monitoring: A Coherence-PPI Algorithm. Engineering Structures, 296, 116913. DOI Online pdf
- (2023) High-fidelity time-series data synthesis based on finite element simulation and data space mapping. Mechanical Systems and Signal Processing, 200, 110630. DOI Online pdf
- (2023) Automatic Drive-By Bridge Damage Detection via a Clustering Algorithm. In proceedings of the 10th Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2023), August 30 - September 1, 2023, Politecnico di Milano, Milan, Italy. DOI
- (2023) Using Contact Residual Responses of a 3-DOF Scooter to Identify First Few Frequencies of the Footbridge. In proceedings of the 10th Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2023), August 30 - September 1, 2023, Politecnico di Milano, Milan, Italy. DOI
- (2023) Small-scale damage detection of bridges using machine learning techniques and drive-by inspection methods. In proceedings of the eighth international symposium on life-cycle civil engineering (IALCCE 2023), 2-6 July, 2023, Politecnico di Milano, Milan, Italy. DOI pdf
- (2023) Indirect bridge damage detection using frequencies identified from vibrations of a single two-axle vehicle. In proceedings of the eighth international symposium on life-cycle civil engineering (IALCCE 2023), 2-6 July, 2023, Politecnico di Milano, Milan, Italy. DOI pdf
- (2023) Bridge Frequency Scanning Using the Contact-Point Response of an Instrumented 3D Vehicle: Theory and Numerical Simulation. Structural Control and Health Monitoring, 2023, 3924349. DOI Online pdf
- (2023) Indirect damage detection for bridges using sensing and temporarily parked vehicles. Engineering Structures, 291, 116459. DOI Online pdf
- (2023) High-Fidelity Time-Series Data Synthesis based on Finite Element Simulation and Data Space Projection. Available at SSRN. DOI Online pdf
- (2023) A Time-Domain Signal Processing Algorithm for Data-Driven Drive-by Inspection Methods: An Experimental Study. Materials, 16(7), 2624. DOI Online pdf
- (2023) Investigation of Frequency-Domain Dimension Reduction for A2M-Based Bridge Damage Detection Using Accelerations of Moving Vehicles. Materials, 16(5), 1872. DOI Online pdf
- (2023) Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine. Structural Health Monitoring, 22(5), 3302-3319. DOI Online pdf
- (2022) Real-time drive-by bridge damage detection using deep auto-encoder. Structures, 47, 1167-1181. DOI Online pdf
- (2022) Vibration Data Synthesis by using Finite Element Analysis and Artificial Neural Network. In proceedings of the 8th World Conference on Structural Control and Monitoring (8WCSCM)，5-8 June, 2022, University of Central Florida, Orlando, Florida, U.S.A. in press. pdf
- (2022) Drive-by Damage Detection in Bridges using Mel- frequency Cepstral Coefficients and Machine Learning. In proceedings of the 8th World Conference on Structural Control and Monitoring (8WCSCM), 5-8 June, 2022, University of Central Florida, Orlando, Florida, U.S.A. in press. pdf
- (2022) Structural damage identification based on estimated additional virtual masses and Bayesian theory. Structural and Multidisciplinary Optimization, 65(2), 45. DOI Online pdf
- (2020) Local Mass Addition and Data Fusion for Structural Damage Identification Using Approximate Models. International Journal of Structural Stability and Dynamics, 20(11) 2050124. DOI Online pdf
- (2020) Estimation of virtual masses for structural damage identification. Structural Control and Health Monitoring, e2585. DOI Online pdf
- (2019) Optimal Placement of Virtual Masses for Structural Damage Identification. Sensors, 19(2), 340. DOI Online pdf
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