HJ
Hanwen Ju
Virginia Tech
Research areas: Engineering · Civil and Structural Engineering · Structural Health Monitoring Techniques · Infrastructure Maintenance and Monitoring · Structural Engineering and Materials Analysis
0000-0003-1680-4698
Employment
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Virginia Tech Graduate Teaching Assistant2025 - 2027
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Virginia Tech Myers-Lawson Fellow2024 - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Attention and risk awareness in elevated construction tasks: AR-based simulation with EEG measures Save
- Automated damage detection and assessment for underwater bridge structures using multi-scale image fusion enhancement and deep learning Save
- Near-real-time EEG-based assessment of perceived attention in AR-enabled construction tasks Save
- Monitoring data cleaning of in-service historic masonry structures: A case study using BiLSTM-AdaBoost and DBSCAN models Save
- An accurate and low-cost abnormal data detection framework for structural health monitoring using hybrid neural network Save
- Temperature Field Analysis of Ancient City Wall: Measurement and Simulation Save
- Unsupervised Data Cleaning for Bridge Structural Health Monitoring Save
- Beyond surveys: objective EEG-based acceptance of AR-HMDS for construction training Save
- EEG signal cleaning for brain wave monitoring of construction workers using prediction and clustering models Save
- Risk awareness assessment of construction workers wearing AR head-mounted displays using EEG signals Save
- Predicting Structural Temperature of Ancient City Walls: A Case Study Using Ambient Temperature and Deep Learning Save
- Real-time identification framework for instantaneous frequency of bridge cables considering multiple types of abnormal monitoring data Save
- Unsupervised learning-based data cleaning framework for structural health monitoring using GoogLeNet and clustering models Save
- Instantaneous Modal Frequency Identification of Bridge Cables under the Influence of Abnormal Monitoring Data Using SSTFT and M-DBSCAN Models Save
- Deflection prediction and early warning for long-span bridges using a fusion ATT-BiGRU model and real-time updated thresholds Save
- Automatic Modal Frequency Identification of Bridge Cables under Influence of Abnormal Monitoring Data Save
- An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data Save
- Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network Save
- Abnormal data detection for structural health monitoring: State-of-the-art review Save
- Temperature time-lag effect elimination method of structural deformation monitoring data for cable-stayed bridges Save