Publications

(2024). Data-driven ergonomic assessment of construction workers. In AiC.

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(2024). Estimation of load-carrying capacity of cracked RC beams using 3D digital twin model integrated with point clouds and images. In Engineering Structures.

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(2024). Fatigue in construction workers: A systematic review of causes, evaluation methods, and interventions. In Safety Science.

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(2024). Design information-assisted graph neural network for modeling central air conditioning systems. In AEI.

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(2023). Measuring Labor Input: Construction Activity Counting Using IMU on Hand Tools. In Sensor.

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(2023). HLE-SLAM: SLAM for overexposed construction environment. In isarc2023.

(2023). Towards automated physical fatigue monitoring and prediction among construction workers using physiological signals: An on-site study. In Safety Science.

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(2023). Identification and Classification of Physical Fatigue in Construction Workers Using Linear and Nonlinear Heart Rate Variability Measurements. In JCEM.

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(2023). Computer vision–based management of construction workers unsafe behaviour. In Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era.

(2022). Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device. In IJoIE.

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(2022). Automated Selection and Localization of Mobile Cranes in Construction Planning. In Buildings.

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(2022). Heart rate variability based physical exertion monitoring for manual material handling tasks. In International Journal of Industrial Ergonomics.

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(2022). Quantifying the Effect of Mental Stress on Physical Stress for Construction Tasks. In Journal of Construction Engineering and Management.

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(2021). Three-Dimensional Working Pose Estimation in Industrial Scenarios With Monocular Camera. In IEEE Internet of Things Journal.

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(2021). Posture-related data collection methods for construction workers: A review. In Automation in Construction.

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(2020). Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System. In Journal of Construction Engineering and Management.

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(2019). Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers. In Journal of Construction Engineering and Management.

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(2019). Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. In Journal of Computing in Civil Engineering.

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(2019). An automatic and non-invasive physical fatigue assessment method for construction workers. In Automation in Construction.

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(2018). Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers. In Automation in Construction.

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(2018). Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning. In Computer-Aided Civil and Infrastructure Engineering.

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(2018). Quantifying the physical intensity of construction workers, a mechanical energy approach. In Advanced Engineering Informatics.

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(2018). Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network. In Computer-Aided Civil and Infrastructure Engineering.

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(2018). Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks. In Automation in Construction.

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(2018). Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers’ Unsafe Behaviors. In Journal of Construction Engineering and Management.

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(2018). A deep learning-based method for detecting non-certified work on construction sites. In Advanced Engineering Informatics.

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(2017). An experimental study of real-time identification of construction workers' unsafe behaviors. In Automation in Construction.

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(2016). Visualization technology-based construction safety management: A review . In Automation in Construction.

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