Demos
Initial Digital Twins Real Time Simulation - Shadow
Simulation Test 1 - Digital Twin
Digital Twin for Structural Health Monitoring
Publications
Industry 4.0 and Smart Factory
- S. Mihai, W. Davis, R. Trestian, V. H. Dang, P. Towakel, M. Karamanoglu, B. Barn, D. S. Shetve, R. V. Prasad, H. Venkataraman, and H. X. Nguyen, “Digital Twins: A Survey on Enabling Technologies, Challenges and Future Prospects,” IEEE Communications Surveys & Tutorials, 2021, submitted.
- Son V. Dinh, Tiep Hoang, Ramona Trestian, Huan X. Nguyen, “Unsupervised Deep Learning-based Reconfigurable Intelligent Surface Aided Broadcasting Communications in Industrial IoTs,” IEEE Internet of Things Journal, 2021, submitted.
- William Davis, Mahnoor Yaqoob, Stefan Mihai, Dang Viet Hung, Ramona Trestian, Mehmet Karamanoglu, Balbir Barn and Huan X. Nguyen, “An Innovative Blockchain-based Traceability Framework for Industry 4.0 Cyber-Physical Factory” in Proc. 18th International Conference on Manufacturing Research (ICMR2021).
- M. Raza, P. M. Kumar, H. Dang-Viet, W. Davis, H. X. Nguyen, and R. Trestian, “A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing,” in Proc. 2020 9th Int. Conf. Industrial Technology and Management (ICITM 2020), Oxford, UK, Feb. 2020 (link)
- S. Mihai, W. Davis, H. V. Dang, R. Trestian, M. Karamanoglu, B. Barn, R. V. Prasad, H. Venkataraman, and H. Nguyen, “A Digital Twin Framework for Predictive Maintenance in Industry 4.0,” in Proc. 2020 International Conference on High Performance Computing & Simulation (HPCS 2020) , Dec. 2020.
- Dattaprasad S. Shetve, Raja V. Prasad, Ramona Trestian, Huan X Nguyen and Hrishikesh Venkataraman, “CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing,” in Proc. The 2020 Fourth International Conference on Computing and Network Communications (CoCoNet’20)
Structural Health Monitoring
- Hung V. Dang, Mallik Tatipamula, and Huan X. Nguyen, “Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning,” IEEE Transactions on Industrial Informatics, accepted, 2021.
- Hung V. Dang, Stefan Viorel Mihai, William Davisa, Ramona Trestiana and Huan X. Nguyen, “Multi-tasking structural damage detection of spatial truss structure using image-based deep learning approach,” Structures, 2021, submitted.
- Hung V. Dang, Khuong N. Le, Thang T. Nguyen, Huan X. Nguyen, “Fast reliability analysis of structures under white noise excitations using Transformer-enhanced surrogate model coupled with importance sampling,” Structural Safety, 2021, submitted
- Hung V. Dang, Ramona Trestian, Thanh Bui-Tien, and Huan X. Nguyen, “Probabilistic Method for Time-Varying Reliability Analysis of Structure via Variational Bayesian Neural Network,” Structures, vol. 34, pp. 3703-3715, 2021.
- Hung V. Dang, William Davis, Stefan V. Mihai, Ramona Trestian and Huan X. Nguyen, “Forecasting dynamic response of the structure under time-varying excitation using temporal deep learning architecture enhanced by attention mechanism,” Computer & Structure, submitted, 2021
- H. V. Dang, M. Raza, H. Tran-Ngoc, T. Bui-Tien, and H. X. Nguyen, “Connection stiffness reduction analysis in steel Bridge via deep convolutional neural network,” Structural Engineering and Mechanics, vol. 77, no. 4, pp. 485-508, Feb. 2021.
- H. V. Dang, M. Raza, V. T. Nguyen, T. T., Bui, and H. X. Nguyen, “Deep Learning-Based Detection of Structural Damage Using Time-Series Data,” Structure and Infrastructure Engineering, 2020. DOI: 10.1080/15732479.2020.1815225
- H. V. Dang, H. Tran-Ngoc, N. V. Tung, B. T. Thanh, G. De Roeck, H. X. Nguyen, “Data-Driven Structural Health Monitoring using Feature Fusion and Hybrid Deep Learning,” in IEEE Transactions on Automation Science and Engineering, vol. 18, no. 4, pp. 2087-2103, Oct. 2021, DOI: 10.1109/TASE.2020.3034401
- L. Nguyen-Ngoc, H. Tran-Ngoc , T. Bui-Tien, M. A. Wahab, H. X. Nguyen, and G. De Roeck, “Damage detection in structures using Particle Swarm Optimization combined with Machine Learning,” Computers, Materials & Continua, accepted, 2020.
- H Tran-Ngoc, Samir Khatir, G De Roeck, T Bui-Tien, M Abdel Wahab, “An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm”, Engineering Structures; 2019.
5G/6G and other Disruptive Applications
- H. X. Nguyen, R. Trestian, D. To and M. Tatipamula, “Digital Twin for 5G and Beyond,” in IEEE Communications Magazine, vol. 59, no. 2, pp. 10-15, February 2021, doi: 10.1109/MCOM.001.2000343.
- S. Mihai, P. Shah, G. Mapp, H. X. Nguyen, and R. Trestian, “Towards autonomous driving: A machine learning-based pedestrian detection system using 16-layer LiDAR,” to appear in Proc. the 13th International Conference on Communications (COMM2020), Bucharest, Jun. 2020.
- K. Ali, H. X. Nguyen, Q.-T. Vien, P. Shah, M. Raza, V. Paranthaman, B. Errahmadi, M. Awais, S. Islam, J. Rodrigues, “Review and Implementation of Resilient Public Safety Networks: 5G, IoT and Emerging Technologies,” IEEE Networks, Nov. 2020
- Geili T. A. Elsanousi, Xin-She Yang, Tuan Le, and Huan X. Nguyen, “The Road Map to Smart Waves With Digital Twin,” IEEE Vehicular Technology Magazine, submitted, 2021
- Mahnoor Yaqoob, Mallik Tatipamula, Ramona Trestian, and Huan X. Nguyen, “Self-Evolving Digital Twin-driven Future Wireless Networks with Smart E2E Network Slicing,” IEEE Software, submitted, 2021
- Son V. Dinh, Ramona Trestian, Huan X. Nguyen, “Joint Beamforming Design for Distributed Reconfigurable Intelligent Surfaces-Aided Broadcast Communications with Deep Learning,” ICC’22, submitted.
Fundamental Concepts
- T. Clark, B. Barn, V. Kulkarni, and S. Barat, “Language Support for Multi Agent Reinforcement Learning,” in Proc. 13th Innovations in Software Engineering Conference (Formerly known as India Software Engineering Conference), Feb. 2020. (download)
- S. Barat, V. Kulkarni, T. Clark, and B. Barn, “An actor based simulation driven digital twin for analyzing complex business systems,” in Proc. 2019 Winter Simulation Conference (WSC) (pp. 157-168), Dec. 2019.