Thông tin giảng viên
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A. Quá trình đào tạo
B. Công tác
C. Đề tài Nghiên cứu khoa học
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D. Công trình tiêu biểu
1. Bolt loosening monitoring in steel structures using CAD-assisted pointnet deep learning and stereo vision. Measurement, ISSN 0263-2241, Vol. 276, pp. 121392. (2026-04-03)
2. CAD-assisted PointNet deep learning for autonomous bolt-loosening monitoring in steel structures. Structural Health Monitoring, ISSN 1741-3168, Vol. 2025, pp. 1-22. (2025-07-11)
3. 2D CNN-based Concrete Stress Monitoring using Impedance Signals of Capsule-like Smart Aggregate. Smart Structures and Systems, ISSN 1738-1584, Vol. 36, pp. 23-38. (2025-07-01)
4. CNN federated learning for vibration‑based damage identification of submerged structure‑foundation system. Journal of Civil Structural Health Monitoring, ISSN 2190-5479, Vol. 15, pp. 2595-2620. (2025-05-17)
5. Pseudo-damage simulation and CNN deep learning for damage identification of submerged structure-foundation systems. Structural Health Monitoring, ISSN 1741-3168, Vol. 24(4), pp. 2149–2176. (2024-11-30)
6. Integrated estimation of stress and damage in concrete structure using 2D convolutional neural network model learned impedance responses of capsule-like smart aggregate sensor. Sensors, ISSN 1424-8220, Vol. 24, pp. 6652. (2024-10-15)
7. CNN-Based Damage Identification of Submerged Structure-Foundation System Using Vibration Data. applied sciences, ISSN 2076-3417, Vol. 14(17), pp. 7508. (2024-08-25)
8. Integrating the Capsule-like Smart Aggregate-Based EMI Technique with Deep Learning for Stress Assessment in Concrete. Sensors, ISSN 1424-8220, Vol. 24(14), pp. 4738. (2024-07-21)
9. Smart Aggregate-Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals. Structural Control and Health Monitoring, ISSN 1545-2263, Vol. 2024(1), pp. 5822653. (2024-03-09)
10. 1-D CNN deep learning of impedance signals for damage monitoring in concrete anchorage. Structural Monitoring and Maintenance, ISBN 2288-6605(Print),2288-6613(Online), Vol. Vol. 10, No. 1, pp. 43-62. (2023-10-01)
E. Thông tin khác
| 2020 | Đại học , Trường Đại học Bách Khoa - Đại học Quốc gia TPHCM |
| 2022 | Thạc sĩ , Trường Đại học Bách Khoa - Đại học Quốc gia TPHCM |
| 2026 | Tiến sĩ, Trường Đại học Quốc gia Pukyong |
| 03/2026-nay | Giảng viên, Khoa Kỹ thuật Xây dựng. Trường Đại học Công nghiệp Thành phố Hồ Chí Minh |
Nội dung đang cập nhật...
D. Công trình tiêu biểu
1. Bolt loosening monitoring in steel structures using CAD-assisted pointnet deep learning and stereo vision. Measurement, ISSN 0263-2241, Vol. 276, pp. 121392. (2026-04-03)
2. CAD-assisted PointNet deep learning for autonomous bolt-loosening monitoring in steel structures. Structural Health Monitoring, ISSN 1741-3168, Vol. 2025, pp. 1-22. (2025-07-11)
3. 2D CNN-based Concrete Stress Monitoring using Impedance Signals of Capsule-like Smart Aggregate. Smart Structures and Systems, ISSN 1738-1584, Vol. 36, pp. 23-38. (2025-07-01)
4. CNN federated learning for vibration‑based damage identification of submerged structure‑foundation system. Journal of Civil Structural Health Monitoring, ISSN 2190-5479, Vol. 15, pp. 2595-2620. (2025-05-17)
5. Pseudo-damage simulation and CNN deep learning for damage identification of submerged structure-foundation systems. Structural Health Monitoring, ISSN 1741-3168, Vol. 24(4), pp. 2149–2176. (2024-11-30)
6. Integrated estimation of stress and damage in concrete structure using 2D convolutional neural network model learned impedance responses of capsule-like smart aggregate sensor. Sensors, ISSN 1424-8220, Vol. 24, pp. 6652. (2024-10-15)
7. CNN-Based Damage Identification of Submerged Structure-Foundation System Using Vibration Data. applied sciences, ISSN 2076-3417, Vol. 14(17), pp. 7508. (2024-08-25)
8. Integrating the Capsule-like Smart Aggregate-Based EMI Technique with Deep Learning for Stress Assessment in Concrete. Sensors, ISSN 1424-8220, Vol. 24(14), pp. 4738. (2024-07-21)
9. Smart Aggregate-Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals. Structural Control and Health Monitoring, ISSN 1545-2263, Vol. 2024(1), pp. 5822653. (2024-03-09)
10. 1-D CNN deep learning of impedance signals for damage monitoring in concrete anchorage. Structural Monitoring and Maintenance, ISBN 2288-6605(Print),2288-6613(Online), Vol. Vol. 10, No. 1, pp. 43-62. (2023-10-01)
E. Thông tin khác
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