Last Update: Feb. 4, 2026

Publication Domain Overview

• Domain 1. Artificial intelligence and reinforcement learning for autonomous control, navigation and perception: Deep and multi-agent reinforcement learning, neural control, physics-informed and generative models, and work with vision language and large language models for robustness, security, and control.
• Domain 2. Quantitative dependability, performance and energy modeling of computing and network infrastructures: Data centers, virtualized servers, SDN, storage systems, cloud-fog-edge environments, container and microservice platforms, blockchain platforms, and identity infrastructures.
• Domain 3. IoT, smart environments and cyber physical systems: Internet of Things, smart cities and buildings, healthcare and industrial IoT, Internet of Robotic Things (IoRT), and IoT-based disaster detection.
• Domain 4. Digital twin and dependable platforms for advanced and urban air mobility and unmanned aerial systems: Digital twins for UAM and AAM vehicles, cloud-in-the-loop platforms, software aging in digital twin backends, and mission dependability of UAS.
• Domain 5. Aerospace and space systems: Aerodynamic modeling and data fusion, airfoil design with learning models, eVTOL flight mechanics and control, and early work on unmanned airships and nano satellites.

A. Manuscripts under review / revision

• Nam, S., Nguyen, T. A., Choi, E., & Min, D. FH-DRL: Exponential-Hyperbolic Frontier Heuristics with DRL for Accelerated Exploration in Unknown Environments. IEEE Transactions on Intelligent Vehicles (Manuscript ID: T-IV-25-02-0130; submitted 14-Feb-2025).
• Lee, U., Hwang, C., Park, Y., Jin, H., Nguyen, T. A., Choi, E., & Min, D. VAE+DDPG: An Attention-Enhanced Variational Autoencoder for Deep Reinforcement Learning-Based Autonomous Navigation in Low-Light Environments. Advanced Intelligent Systems (Manuscript No.: aisy.202500636R2; R2).
• Nguyen, T. A., Lim, D., Kyung, M., & Min, D. Distributed Edge Storage Systems: Proactive High-Availability Microservices with Live Migration and Rejuvenation Strategies. Submitted to Mathematics (MDPI).
• Nam, S., Nguyen, T. A., Choi, E., & Min, D. Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation. Manuscript under review.
• Folåsen, H., Nguyen, T. A., & Min, D. FreqStack: Adaptive Spectral Mixture-of-Experts for Robust Zero-shot Deepfake Detection. Manuscript under review.
• Folåsen, H., Min, D., & Nguyen, T. A. From Global FFT to Local DWT: A Soft MoE Detector for Robust Deepfake Recognition. Manuscript under review.

B. Domain 1. Artificial intelligence and reinforcement learning for autonomous control, navigation and perception

Deep and multi-agent reinforcement learning, neural control, physics-informed and generative models, and work with vision language and large language models for robustness, security, and control.

Journal and book publications

1. [P04] Park, J., Nguyen, T. A., & Min, D. (2025). RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness. arXiv preprint, arXiv:2509.05333. doi:10.48550/arXiv.2509.05333. [2025-09-01]

2. [P03] Nam, S., Nguyen, T. A., Choi, E., & Min, D. (2025). Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation. doi:10.36227/techrxiv.173747402.29145488/v1. [2025-01-21]

3. [P02] Nam, S., Nguyen, T. A., Choi, E., & Min, D. (2025). FH-DRL: Exponential-Hyperbolic Frontier Heuristics with DRL for accelerated Exploration in Unknown Environments. arXiv preprint, arXiv:2407.18892. doi:10.48550/arXiv.2407.18892. [2024-07-27]

4. [J25] Jeon, S., Lee, H., Kaliappan, V. K., Nguyen, T. A., Jo, H., Cho, H., & Min, D. (2022). Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation Control. Energies, 15(19), 7426. doi:10.3390/en15197426. (SCIE, JCR.Q3 Energy/Fuels., Ranking 80/119, IF2021=3.252) [2022-10-10]

5. [J22] Battisti, F., Silva, A., Pereira, L., Carvalho, T., Araujo, J., Choi, E., Nguyen, T. A., & Min, D. (2022). hLSTM-Aging: A Hybrid LSTM Model for Software Aging Forecast. Applied Sciences, 12(13). doi:10.3390/app12136412. (SCIE, JCR.Q2 Engineering, 32/91, IF2020=2.679) [2022-06-24]

6. [J20] Kaliappan, V. K., Nguyen, T. A., Min, D., Lee, J.-W., & Sakthi, U. (2022). Steering Behavior-based Multiple RUAV Obstacle Avoidance Control. Intelligent Automation & Soft Computing, 34(1), 575–591. doi:10.32604/iasc.2022.024577. (SCIE, JCR.Q3 Automation & Control., Ranking 44/64, IF2020=1.647) [2022-01-01]

7. [J09] Maw, A. A., Tyan, M., Nguyen, T. A., & Lee, J.-W. (2021). *iADA-RL: Anytime Graph-Based Path Planning with Deep Reinforcement Learning for an Autonomous UAV.** Applied Sciences, 11(9). doi:10.3390/app11093948. (SCIE, JCR.Q2 Engineering, 32/91, IF2019=2.474) [2021-04-27]

Conference and preprint publications

1. [C44] Nam, S., Nguyen, T. A., Kang, S., & Min, D. (2025). PGELU: Metaverse-Driven Deep Learning Boosted by a Parametric GELU for Stable and Scalable Recognition of Emotions and 3D Objects. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00044. [2025-08-27]

2. [C43] Park, H., Min, D., Nguyen, T. A., & Choi, E. (2025). Adaptive Prompting in the Metaverse: An Iterative Prompt Optimization Framework for Enhancing LLM Performance Across Diverse Tasks. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00009. [2025-08-27]

3. [C45] Park, S., Min, D., Nguyen, T. A., & Choi, E. (2025). Metaverse Security: LLM-Based Malicious Code Detection Through Token Optimization. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00057. [2025-08-27]

4. [C42] Kang, H., Lee, U., Park, Y., Min, D., Nguyen, T. A., & Choi, E. (2025). Metaverse-Ready Simulation: Advancing Sim-to-Real by Reinforcement Learning for TurtleBot in ROS2 and Unreal Engine. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00008. [2025-08-27]

5. [P05] Jung, T., Seo, W., Park, H., Park, S., Nguyen, T. A., & Min, D. (2024). ULoRA: Universal Low-Rank Adaptation of Diverse Deep Learning Architectures. ICLR 2025 Conference, withdrawn submission. openreview.net/forum?id=bYsieh8LE2. [2024-10-04]

6. [C48] Nguyen, T. A., Jang, M., Hyun, J., Kwak, T., Toe, M., & Lee, J.-W. (2023). Can Large Language Models Stabilize the Attitude of a UAM Vehicle? - A Preliminary Research. In Proceedings of the Korean Society for Aeronautical & Space Sciences Fall Conference 2023, 1411–1412. [2023-11-15]

7. [C35] Jang, M., Hyun, J., Nguyen, T. A., & Lee, J.-W. (2023). PIGD-TL: Physics-Informed Generative Dynamics with Transfer Learning. ICCAS 2023 – 23rd International Conference on Control, Automation and Systems, 590–595. doi:10.23919/ICCAS59377.2023.10316820. [2023-10-17]

8. [C31] Lee, S., Nguyen, T. A., & Min, D. (2023). QR-GAN: Generative Adversarial Networks meet Quantile Regression. In: 2023 15th International Conference on Advanced Computational Intelligence (ICACI), 1–8. doi:10.1109/ICACI58115.2023.10146143. [2023-05-06]

9. [C33] Nam, S., Woo, C., Kang, S., Nguyen, T. A., & Min, D. (2023). SLAM-DRLnav: A SLAM-Enhanced Deep Reinforcement Learning Navigation Framework for Indoor Self-driving. In: 2023 International Conference on Mechatronics, Control and Robotics (ICMCR), 44–48. doi:10.1109/ICMCR56776.2023.10181042. [2023-02-18]

10. [C29] Nam, S., Woo, C., Kang, S., Nguyen, T. A., & Min, D. (2023). iNAV-drlSLAM: An Improved Indoor Self-Driving Framework for Mobile Robots using Deep Reinforcement Learning integrated with SLAM. In: 2023 15th International Conference on Advanced Computational Intelligence (ICACI), 1–8. doi:10.1109/ICACI58115.2023.10146173. [2023-05-06]

11. [C28] Jang, M., Hyun, J., Kwag, T., Gwak, C., Nguyen, T. A., & Lee, J.-W. (2023). Robust Attitude Control for PAVs using DNN with Exponentially Stabilizing Control Lyapunov Functions. AIAA SCITECH 2023 Forum, AIAA 2023-1443. doi:10.2514/6.2023-1443. [2023-01-19]

12. [C19] Kaliappan, V. K., Nguyen, T. A., Jeon, S. W., Lee, J.-W., & Min, D. (2023). Deep Multi Agent Reinforcement Learning Based Decentralized Swarm UAV Control Framework for Persistent Surveillance. In: APISAT 2021, Vol. 2, Lecture Notes in Electrical Engineering 913. doi:10.1007/978-981-19-2635-8_70. [2022-09-30]

13. [C18] Jo, H., Lee, H., Jeon, S., Kaliappan, V. K., Nguyen, T. A., Min, D., & Lee, J.-W. (2023). Multi-agent Reinforcement Learning-Based UAS Control for Logistics Environments. In: APISAT 2021, Vol. 2, Lecture Notes in Electrical Engineering 913. doi:10.1007/978-981-19-2635-8_71. [2022-09-30]

14. [C27] Jang, M., Hyun, J., Kwag, T., Gwak, C., Jeong, C., Nguyen, T. A., & Lee, J.-W. (2022). es-DNLC: A Deep Neural Network Control with Exponentially Stabilizing Control Lyapunov Functions for Attitude Stabilization of PAV. In: 2022 22nd International Conference on Control, Automation and Systems (ICCAS), 81–86. doi:10.23919/ICCAS55662.2022.10003776. [2022-11-27]

15. [C23] Jang, M., Hyun, J., Nguyen, T. A., & Lee, J.-W. (2022). Attitude Stabilization of eVTOL in Hovering Mode using Neural Network based Control with Lyapunov Theorem. The Korean Society for Aeronautical & Space Sciences Conference, 322–323. DBpia. [2022-11-16]

C. Domain 2. Quantitative dependability, performance and energy modeling of computing and network infrastructures

Data centers, virtualized servers, SDN, storage systems, cloud-fog-edge environments, container and microservice platforms, blockchain platforms, and identity infrastructures.

Journal and book publications

1. [J51] Lim, D., Nguyen, T. A., Min, D., & Kyung, M. (2025). An SRN-based Availability Modeling and Analysis for Edge Computing Systems with Correlated Failures. Journal of The Korea Society of Computer and Information, 30(12), 25–35. [2025-12-01]

2. [J49] Lim, D., Nguyen, T. A., Li, J., Choi, E., Min, D., Cadena, R. M., Nogueira, B., Andrade, E., Callou, G., Di Mauro, M., Torquato, M., Silva, F. A., & Maciel, P. (2025). S-iNAS: A performance-centric SRN modeling and analysis of time and event based scaling strategies in Ceph-based industrial network-attached storage. Journal of Network and Systems Management, 34(1), Article 34. doi:10.1007/s10922-025-10005-6. [2025-12-05]

3. [J48] Fé, I., Nguyen, T. A., Choi, E., Min, D., Lee, J.-W., Barbosa, V., Soares, A., Rego, P. A. L., Mei, A., & Silva, F. A. (2025). Energy-efficient performance optimization in Kubernetes microservices using Generalized Stochastic Petri Net. Journal of Network and Computer Applications, 243, 104287. doi:10.1016/j.jnca.2025.104287 (SCIE, JCR.Q1 CS.SE, Ranking 6/129, IF2024=8.0). [2025-11-01]

4. [J46] Feitosa, L., Barbosa, V., Sabino, A., Lima, L. N., Fé, I., Silva, L. G., Callou, G., Carvalho, J., Leão, E., Nguyen, T. A., Rego, P. A. L., & Silva, F. A. (2025). A comprehensive performance evaluation of container migration strategies. Computing, 107, 64. doi:10.1007/s00607-025-01423-0. [2025-02-05]

5. [J45] Feitosa, L., Barbosa, V., Sabino, A., Lima, L. N., Fé, I., Silva, L. G., Callou, G., Carvalho, J., Leão, E., Nguyen, T. A., Rego, P. A. L., & Silva, F. A. (2025). Correction to: A comprehensive performance evaluation of container migration strategies. Computing, 107, 93. doi:10.1007/s00607-025-01447-6. [2025-03-13]

6. [J44] Rocha, J. W., Gomes, E., Barbosa, V., Sabino, A., Lima, L. N., Callou, G., Silva, F. A., Choi, E., Nguyen, T. A., Min, D., & Lee, J.-W. (2025). Enhancing data harvesting systems: performance quantification of Cloud-Edge-sensor networks using queueing theory. ICT Express, 11(4), 597–602. doi:10.1016/j.icte.2025.04.017. [2025-08-01]

7. [J41] Melo, C., Gonçalves, G., Silva, F. A., Fé, I., Moura, E., Soares, A., Choi, E., Min, D., Lee, J.-W., & Nguyen, T. A. (2025). Transactional dynamics in hyperledger fabric: a stochastic modeling and performance evaluation of permissioned blockchains. ICT Express, 11(1), 87–92. doi:10.1016/j.icte.2024.10.009. (SCIE, JCR.Q1 CS.IS., Ranking 58/249, IF2023=4.1) [2025-02-01]

8. [J38] Fé, I., Nguyen, T. A., Di Mauro, M., Postiglione, F., Ramos, A., Soares, A., Choi, E., Min, D., Lee, J.-W., & Silva, F. A. (2024). Energy-aware dynamic response and efficient consolidation strategies for disaster survivability of cloud microservices architecture. Computing, 106(8), 2737–2783. doi:10.1007/s00607-024-01305-x. [2024-06-17]

9. [J37] Santos, L. W., Brito, C., Fé, I., Carvalho, J., Torquato, M., Choi, E., Min, D., Lee, J.-W., Nguyen, T. A., & Silva, F. A. (2024). Event-based moving target defense in cloud computing with VM migration: a performance modeling approach. IEEE Access, 12, 165539–165554. doi:10.1109/ACCESS.2024.3393998. [2024-01-01]

10. [J36] Araújo, G., Barbosa, V., Lima, L. N., Sabino, A., Brito, C., Fé, I., Rego, P. A. L., Choi, E., Min, D., Nguyen, T. A., & Silva, F. A. (2024). Energy consumption in microservices architectures: a systematic literature review. IEEE Access, 12, 186710–186729. doi:10.1109/ACCESS.2024.3389064. [2024-01-01]

11. [J32] Fé, I., Nguyen, T. A., Soares, A. B., Son, S., Choi, E., Min, D., Lee, J.-W., & Silva, F. A. (2023). Model-driven Dependability and Power Consumption Quantification of Kubernetes based Cloud-Fog Continuum. IEEE Access, 11, 140826–140852. doi:10.1109/ACCESS.2023.3340195. (SCIE, JCR.Q2 CS.IS, 78/156, IF2022=3.9) [2023-01-01]

12. [J30] Silva, F. A., Fé, I., Brito, C., Araujo, G., Feitosa, L., Nguyen, T. A., Jeon, K., Lee, J.-W., Min, D., & Choi, E. (2023). Aerial computing: Enhancing mobile cloud computing with unmanned aerial vehicles as data bridges–A Markov chain based dependability quantification. ICT Express. doi:10.1016/j.icte.2023.10.002. (SCIE, JCR.Q2 CS.IS., Ranking 48/158, IF2022=5.4) [2024-04-01]

13. [J28] Sousa, R. de, Cristian, L., Feitosa, L., Choi, E., Nguyen, T. A., Min, D., & Silva, F. A. (2023). Performability Evaluation and Sensitivity Analysis of a Video Streaming on Demand Architecture. Applied Sciences, 13(2), 998. doi:10.3390/app13020998. (SCIE, JCR.Q2 Engineering, 32/91, IF2020=2.679) [2023-01-11]

14. [J26] Kaliappan, V. K., Lalpet Ranganathan, A. B., Periasamy, S., Thirumalai, P., Nguyen, T. A., Jeon, S., Min, D., & Choi, E. (2022). Energy-Efficient Offloading Based on Efficient Cognitive Energy Management Scheme in Edge Computing Device with Energy Optimization. Energies, 15, 8273. doi:10.3390/en15218273. (SCIE, JCR.Q3 Energy/Fuels., Ranking 80/119, IF2021=3.252) [2022-11-05]

15. [J18] Fé, I., Matos, R., Dantas, J., Melo, C., Nguyen, T. A., Min, D., Choi, E., Silva, F. A., & Maciel, P. R. M. (2022). Performance-Cost Trade-Off in Auto-Scaling Mechanisms for Cloud Computing. Sensors, 22(3), 1221. doi:10.3390/s22031221. (SCIE, JCR.Q1 Instrumentation, Ranking 14/64, IF2020=3.576) [2022-02-05]

16. [J17] Nguyen, T. A., Kim, M., Lee, J., Min, D., Lee, J.-W., & Kim, D. (2021). Performability evaluation of switch-over Moving Target Defence mechanisms in a Software Defined Networking using stochastic reward nets. Journal of Network and Computer Applications, 199, 103267. doi:10.1016/j.jnca.2021.103267. (SCIE, JCR.Q1 CS.SE, Ranking 6/108, IF2020=6.281) [2022-03-01]

17. [J10] Brito, C., Rodrigues, L., Santos, B., Fé, I., Nguyen, T. A., Min, D., Lee, J.-W., & Silva, F. A. (2021). Stochastic Model Driven Performance and Availability Planning for a Mobile Edge Computing System. Applied Sciences, 11(9), 4088. doi:10.3390/app11094088. (SCIE, JCR.Q2 Engineering, 32/91, IF2019=2.474) [2021-04-29]

18. [J06] Nguyen, T. A., Min, D., Choi, E., & Thang, T. D. (2019). Reliability and Availability Evaluation for Cloud Data Center Networks using Hierarchical Models. IEEE Access. doi:10.1109/ACCESS.2019.2891282. (SCIE, JCR.Q1 CS.IS, 23/155, IF2018=4.098) [2019-01-01]

19. [J05] Nguyen, T. A., Han, K., Min, D., Choi, E., Thang, T. D., & Choi, Y.-J. (2018). A stochastic reward net-based assessment of reliability, availability and operational cost for a software-defined network infrastructure. Journal of Supercomputing. doi:10.1007/s11227-018-2677-y. (SCI/SCIE, JCR.Q2 CS.Theory&Methods, 52/104, IF2017=1.532, IF2018=2.157) [2018-11-03]

20. [J04] Nguyen, T. A., Min, D., & Choi, E. (2017). A comprehensive evaluation of availability and operational cost for a virtualized server system using stochastic reward nets. Journal of Supercomputing, 1–55. doi:10.1007/s11227-017-2127-2. (SCI/SCIE, JCR.Q2 CS.Theory&Methods, 52/104, IF2016=1.326, IF2018=2.157) [2017-08-28]

21. [J04c] Nguyen, T. A., Min, D., & Choi, E. (2018). Correction to: A comprehensive evaluation of availability and operational cost for a virtualized server system using stochastic reward nets. The Journal of Supercomputing, 74(6), 2903. doi:10.1007/s11227-018-2428-0. [2018-05-18]

22. [J03] Nguyen, T. A., Kim, D. S., & Park, J. S. (2016). Availability modeling and analysis of a data center for disaster tolerance. Future Generation Computer Systems, 56, 27–50. doi:10.1016/j.future.2015.08.017. (SCI/SCIE, JCR.Q1 CS.Theory&Methods, Ranking 7/104, IF2016=3.997, IF2018=5.768) [2016-03-01]

23. [J02] Nguyen, T. A., Min, D., & Park, J. S. (2015). A Comprehensive Sensitivity Analysis of a Data Center Network with Server Virtualization for Business Continuity. Mathematical Problems in Engineering, 2015, 1–20. doi:10.1155/2015/521289. (SCIE, JCR.Q3 Engineering, 59/85, IF2015=0.76, IF2018=1.179) [2015-01-01]

24. [J01] Nguyen, T. A., Kim, D. S., & Park, J. S. (2014). A Comprehensive Availability Modeling and Analysis of a Virtualized Servers System Using Stochastic Reward Nets. Scientific World Journal, 2014, 1–18. doi:10.1155/2014/165316. (SCIE in 2014, JCR.Q3 Engineering, IF2014=1.73) [2014-01-01]

25. [B01] Nguyen, T. A., Min, D., & Choi, E. (2018). Stochastic Reward Net-based Modeling Approach for Availability Quantification of Data Center Systems. In Dependability Engineering (F. P. García Márquez, Ed.). Rijeka: InTech. doi:10.5772/intechopen.74306. [2018-06-06]

Conference and preprint publications

1. [C41] Lim, D., Nguyen, T. A., Min, D., Choi, E., Fé, I., Silva, F. A., & Maciel, P. (2025). Metaverse Distributed Storages: High Availability Quantification using Stochastic Reward Nets. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00039. [2025-08-27]

2. [C38] Fé, I., Silva, L. G., Soares, A., Silva, F. A., Mei, A., Rego, P. A. L., Choi, E., Nguyen, T. A., Lee, J.-W., & Min, D. (2024). Resilient and efficient microservices: stochastic modeling and quantification of energy consumption and recovery times. In Proceedings of the 2024 IEEE Global Communications Conference (GLOBECOM). doi:10.1109/GLOBECOM52923.2024.10901098. [Scopus] [2024-12-08]

3. [C36] Melo, C., Gonçalves, G., Silva, F. A., Feitosa, L., Fé, I., Soares, A., Choi, E., Nguyen, T. A., & Min, D. (2024). Optimal resource utilization in Hyperledger Fabric: a comprehensive SPN-based performance evaluation paradigm. In Proceedings of the 2024 IEEE Network Operations and Management Symposium (NOMS), 1–7. doi:10.1109/NOMS59830.2024.10575284. [2024-05-06]

4. [C30] Kim, M.-H., Nguyen, T. A., & Min, D. (2023). An Efficient Personal Key Recovery in Self-Sovereign Identity Environments. In: 2023 15th International Conference on Advanced Computational Intelligence (ICACI), 1–8. doi:10.1109/ICACI58115.2023.10146166. [2023-05-06]

5. [C21] Araújo, G., Brito, C., Correia, L., Nguyen, T. A., Lee, J., & Silva, F. (2022). Mobile Games at the Edge: A Performance Evaluation to Guide Resource Capacity Planning. In: 12th International Conference on Cloud Computing and Services Science (CLOSER), 238–245. doi:10.5220/0011071200003200. [2022-01-01]

6. [C13] Zou, L., Rui, X., Nguyen, T. A., Min, D., Choi, E., Tran, D. T., & Nguyen, N. S. (2018). A Scalable Network Area Storage with Virtualization: Modeling and Evaluation using Stochastic Reward Nets. In: ICISS ‘18, Jeju, Republic of Korea. doi:10.1145/3209914.3209918. [2018-04-27]

7. [C12] Nguyen, T. A., Min, D., & Choi, E. (2017). Reliability and Availability Modeling of Fog Computing based IoT System. In: The 5th International Conference on Big Data Applications and Services (BIGDAS 2017), Jeju Island, South Korea. [2017-08-15]

8. [C11] Nguyen, T. A., Rui, X., Lim, D., Oh, J., Min, D., Choi, E., Tran, D. T., & Nguyen, N. S. (2017). Model-based sensitivity of a disaster tolerant active-active genesis cloud system. In: INISCOM 2017, Ho Chi Minh City, Vietnam. doi:10.1007/978-3-319-74176-5_20. [2018-01-13]

9. [C10] Han, K., Nguyen, T. A., Min, D., & Choi, E. M. (2017). An Evaluation of Availability, Reliability and Power Consumption for a SDN Infrastructure using Stochastic Reward Net. In: Advances in Computer Science and Ubiquitous Computing (UCAWSN CUTE CSA 2016), Lecture Notes in Electrical Engineering 421. doi:10.1007/978-981-10-3023-9_98. [2016-11-23]

10. [C09] Kim, D. S., Hong, J. B., Nguyen, T. A., Machida, F., & Trivedi, K. S. (2016). Availability Modeling and Analysis of a Virtualized System using Stochastic Reward Nets. In: 2016 IEEE International Conference on Computer and Information Technology (CIT). doi:10.1109/CIT.2016.97. [2016-12-01]

11. [C08] Nguyen, T. A., Kim, D. S., Park, J. S., et al. (2015). Availability Modeling and Analysis of a Software Defined Network. In: 2015 IEEE Pacific Rim International Symposium on Dependable Computing (PRDC). doi:10.1109/PRDC.2015.27. [2015-11-01]

12. [C07] Upadhyaya, P., Nguyen, T. A., Pokharel, M., Shakya, S., & Park, J. S. (2014). Modeling & Analysis of Cost Effective High Availability Security Architecture for Whole of Government Systems to cater DDoS attack. In: ICCIC 2014, IEEE. doi:10.1109/ICCIC.2014.7238293. [2014-12-01]

13. [C06] Nguyen, T. A., & Park, J. S. (2014). Availability Modeling and Analysis in a Virtualized Servers Network. In: ICCA 2014, Yangon, Myanmar. paper. [2014-02-17]

14. [C05] Nguyen, T. A., Lee, D., & Park, J. S. (2013). Towards Virtualization Technology on Satellite On-board Computer System with Hardware Redundancy, Software Rejuvenation, and Virtual Machine Live Migration Techniques–Modeling, Analysis and Implementation Proposal. IEICE Tech. Rep., vol. 113, no. 335, SANE2013-98, 157–162. paper. [2013-12-03]

D. Domain 3. IoT, smart environments and cyber physical systems

Internet of Things, smart cities and buildings, healthcare and industrial IoT, Internet of Robotic Things (IoRT), and IoT-based disaster detection.

Journal and book publications

1. [J47] Brito, C., Araújo, G., Fé, I., Rego, P. A. L., Callou, G., Borges, I., Maciel, P., Nguyen, T. A., & Silva, F. A. (2025). Sensitivity-centered preventive maintenance strategies for enhanced urban surveillance: a stochastic Petri net analysis. Computing, 107, 208. doi:10.1007/s00607-025-01561-5. [2025-10-14]

2. [J42] Barbosa, V., Sabino, A., Lima, L. N., Brito, C., Feitosa, L., Pereira, P., Maciel, P., Nguyen, T. A., & Silva, F. A. (2025). Performance Evaluation of IoT-Based Industrial Automation Using Edge, Fog, and Cloud Architectures. Journal of Network and Systems Management, 33(1), 15. doi:10.1007/s10922-024-09893-x. (SCIE, JCR.Q1 CS.IS., Ranking 58/250, IF2023=4.1) [2024-12-12]

3. [J40] Araújo, I., Silva, L. G., Brito, C., Min, D., Lee, J.-W., Nguyen, T. A., Leão, E., & Silva, F. A. (2025). DDS-P: stochastic models based performance of IoT disaster detection systems across multiple geographic areas. ICT Express, 11(1), 34–40. doi:10.1016/j.icte.2024.09.005. [2025-02-01]

4. [J43] Vinicius, L., Nguyen, T. A., & Silva, F. A. (2024). Internet of medical things: a performability performance analysis. International Journal of Computer Applications in Technology, 75(1), 35–47. doi:10.1504/IJCAT.2024.144667. (Scopus, ESCI, JCR.Q4 Interdisciplinary., Ranking 138/170, IF2023=1.2) [2024-01-01]

5. [J39] Silva, F. A., Barbosa, V., Lima, L. N., Sabino, A., Rego, P., Bittencourt, L. F., et al. (2024). Efficient strategies for unmanned aerial vehicle flights: analyzing battery life and operational performance in delivery services using stochastic models. IEEE Access, 12, 144544–144564. doi:10.1109/ACCESS.2024.3449283. [2024-01-01]

6. [J34] Silva, F. A., Fé, I., Silva, F., et al. (2024). Quantifying the impact of resource redundancy on smart city system dependability: a model-driven approach. Cluster Computing, 27, 6059–6079. doi:10.1007/s10586-023-04259-5. [2024-02-20]

7. [J23] Rocha, P., Souza, A., Maia, G., Mattos, C., Silva, F. A., Rego, P., Nguyen, T. A., & Lee, J.-W. (2022). Evaluating Link Lifetime Prediction to Support Computational Offloading Decision in VANETs. Sensors, 22(16), 6038. doi:10.3390/s22166038. (SCIE, JCR.Q2 Instrumentation, Ranking 19/64, IF2021=3.847) [2022-08-12]

8. [J21] Silva, F. A., Fé, I., Brito, C., Araújo, G., Feitosa, L., Choi, E., Min, D., & Nguyen, T. A. (2022). Supporting availability evaluation of a smart building monitoring system aided by fog computing. IET Electronics Letters. doi:10.1049/ell2.12502. (SCIE, JCR.Q4 Eng. Electrical & Electronic, Ranking 220/273, IF2020=1.314) [2022-04-20]

9. [J19] Silva, F. A., Brito, C., Araújo, G., Fé, I., Tyan, M., Lee, J.-W., Nguyen, T. A., & Maciel, P. R. M. (2022). Model-Driven Impact Quantification of Energy Resource Redundancy and Server Rejuvenation on the Dependability of Medical Sensor Networks in Smart Hospitals. Sensors, 22(4), 1595. doi:10.3390/s22041595. (SCIE, JCR.Q1 Instrumentation, Ranking 14/64, IF2020=3.576) [2022-02-18]

10. [J16] Feitosa, L., Gonçalves, G., Nguyen, T. A., Lee, J.-W., & Silva, F. A. (2021). Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network. Electronics, 10(21), 2626. doi:10.3390/electronics10212626. (SCIE, JCR.Q3 CS.IS, 93/162, IF2020=2.397) [2021-10-27]

11. [J15] Nguyen, T. A., Fé, I., Brito, C., Kaliappan, V. K., Choi, E., Min, D., Lee, J.-W., & Silva, F. A. (2021). Performability Evaluation of Load Balancing and Fail-Over Strategies for Medical Information Systems with Edge/Fog Computing Using Stochastic Reward Nets. Sensors, 21(18). doi:10.3390/s21186253. (SCIE, JCR.Q1 Instrumentation, Ranking 14/64, IF2020=3.576) [2021-09-17]

12. [J14] Santos, B., Soares, A., Nguyen, T. A., Min, D.-K., Lee, J.-W., & Silva, F.-A. (2021). IoT Sensor Networks in Smart Buildings: A Performance Assessment Using Queuing Models. Sensors, 21(16), 5660. doi:10.3390/s21165660. (SCIE, JCR.Q1 Instrumentation, Ranking 14/64, IF2020=3.576) [2021-08-23]

13. [J13] Nguyen, T. A., Min, D., Choi, E., & Lee, J.-W. (2021). Dependability and Security Quantification of an Internet of Medical Things Infrastructure based on Cloud-Fog-Edge Continuum for Healthcare Monitoring using Hierarchical Models. IEEE Internet of Things Journal, 1–1. doi:10.1109/JIOT.2021.3081420. (SCIE, JCR.Q1 CS.IS, Ranking 3/156, IF2019=9.936) [2021-11-01]

14. [J12] Brito, C., Silva, L., Callou, G., Nguyen, T. A., Min, D., Lee, J.-W., & Silva, F. A. (2021). Offloading Data through Unmanned Aerial Vehicles: A Dependability Evaluation. Electronics, 10(16), 1916. doi:10.3390/electronics10161916. (SCIE, JCR.Q3 CS.IS, 93/162, IF2020=2.397) [2021-08-10]

15. [J11] Silva, F. A., Nguyen, T. A., Fé, I., Brito, C., Min, D., & Lee, J.-W. (2021). Performance Evaluation of an Internet of Healthcare Things for Medical Monitoring Using M/M/c/K Queuing Models. IEEE Access, 9, 55271–55283. doi:10.1109/ACCESS.2021.3071508. (SCIE, JCR.Q1 CS.IS, 35/156, IF2019=3.745) [2021-01-01]

16. [J08] Gonçalves, I., Rodrigues, L., Silva, F. A., Nguyen, T. A., Min, D., & Lee, J.-W. (2021). Surveillance System in Smart Cities: A Dependability Evaluation Based on Stochastic Models. Electronics, 10(8), 876. doi:10.3390/electronics10080876. (SCIE, JCR.Q2 Eng&E.E, 154/266, IF2019=2.412) [2021-04-07]

17. [J07] Nguyen, T. A., Min, D., & Choi, E. (2020). A Hierarchical Modeling and Analysis Framework for Availability and Security Quantification of IoT Infrastructures. Electronics, 9(1), 155. doi:10.3390/electronics9010155. (SCIE, JCR.Q2 Eng&E.E, 154/266, IF2019=2.412) [2020-01-14]

Conference and preprint publications

1. [C39] Brito, C., Feitosa, L., Sabino, A., et al. (2025). Optimizing intelligent camera surveillance in smart buildings: an SPN-based edge-fog analysis. In Proceedings of the XLIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2025). doi:10.5753/sbrc.2025.5744. [Scopus] [2025-05-19]

2. [P07] Silva, F. A., Fé, I., Silva, F., et al. (2023). Quantifying the Impact of Resource Redundancy on Smart City System Dependability: A Model-Driven Approach. Research Square preprint, rs-3427536. doi:10.21203/rs.3.rs-3427536/v1. [2023-10-19]

3. [C26] Nguyen, T. A., Min, D., Choi, E., Fé, I., & Silva, F. A. (2022). Survivability and Resiliency Modeling and Analysis of an Internet of Industrial Things using Hierarchical Models. In: 2022 IEEE Cloud Summit, 118–123. doi:10.1109/CloudSummit54781.2022.00024. [2022-10-01]

4. [C25] Nguyen, T. A., Lee, J.-W., Fé, I. de Sousa, & Silva, F. A. (2022). A Hierarchical Model based Survivability and Resiliency Evaluation of Medical Edge Networks. In: 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), 87–92. doi:10.1109/ICCE55644.2022.9852059. [2022-07-27]

5. [C17] Feitosa, L., Santos, L., Gonçalves, G., Nguyen, T. A., Lee, J.-W., & Silva, F. A. (2021). Internet of Robotic Things: A Comparison of Message Routing Strategies for Cloud-Fog Computing Layers using M/M/c/K Queuing Networks. In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2049–2054. doi:10.1109/SMC52423.2021.9658614. [2021-10-17]

6. [C16] Victor, C., Nguyen, T. A., Silva, L. A., Andrade, E., Santos, G. L., Min, D., Lee, J. W., & Silva, F. A. (2021). Performability Assessment and Sensitivity Analysis of a Home Automation System. In: 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 1–4. doi:10.1109/DS-RT52167.2021.9576142. [2021-09-27]

E. Domain 4. Digital twin and dependable platforms for advanced and urban air mobility and unmanned aerial systems

Digital twins for UAM and AAM vehicles, cloud-in-the-loop platforms, software aging in digital twin backends, and mission dependability of UAS.

Journal and book publications

1. [J35] Ywet, N. L., Maw, A. A., Nguyen, T. A., & Lee, J.-W. (2024). YOLOTransfer-DT: an operational digital twin framework with deep and transfer learning for collision detection and situation awareness in urban aerial mobility. Aerospace, 11(3), 179. doi:10.3390/aerospace11030179. [2024-02-23]

2. [J31] Silva, L. G., Cardoso, I., Brito, C., Barbosa, V., Nogueira, B., Choi, E., Nguyen, T. A., Min, D., Lee, J.-W., & Silva, F. A. (2023). Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration. Sensors, 23(23), 9485. doi:10.3390/s23239485. (SCIE, JCR.Q2 Instrumentation, Ranking 19/63, IF2022=3.9) [2023-11-28]

3. [J27] Costa, J., Matos, R., Araujo, J., Li, J., Choi, E., Nguyen, T. A., Lee, J.-W., & Min, D. (2023). Software Aging Effects on Kubernetes in Container Orchestration Systems for Digital Twin Cloud Infrastructures of Urban Air Mobility. Drones, 7(1), 35. doi:10.3390/drones7010035. (SCIE, JCR.Q2 Remote Sensing, Ranking 10/34, IF2021=5.532) [2023-01-03]

Conference and preprint publications

1. [C51] Toe, M., Htike, T. M., Nguyen, V. N., Nguyen, T. A., & Lee, J.-W. (2025). Vehicle Digital Twin System: Integration and Flight Simulation under Steady Wind Condition. In Proceedings of the Korean Society for Aeronautical & Space Sciences Spring Conference 2025, 381–382. [2025-04-02]

2. [C46] Nguyen, T. A., Lim, D., Nam, S., Min, D., Fé, I., Silva, F. A., & Maciel, P. (2025). Metaverse Cloud-Edge Computing: On Aging Dependability of a Cloud-Edge-in-the-loop Simulation Platform for AAM Vehicle Digital Twin. In Proceedings of the 2025 International Conference on Metaverse Computing, Networking and Applications (MetaCom). doi:10.1109/metacom65502.2025.00020. [2025-08-27]

3. [C49] Toe, M., Kim, M. J., Nguyen, T. A., Nguyen, V. N., & Nguyen, L. V. T. (2024). AAM Vehicle Digital Twin: Advanced ePropulsion and S/W Integration Strategy for Virtual Certification. In Proceedings of the Aerospace Systems Engineering Society Fall Conference 2024, 719–722. [2024-10-16]

4. [C37] Jang, M., Hyun, J., Kwag, T., Gwak, C., Nguyen, T. A., & Lee, J.-W. (2024). PIND-UAM: Physics-Informed Neural Dynamics of Boxed-Wing eVTOL Aircraft for UAM Vehicle Digital Twin. Transportation Research Procedia, 80, 30–37. doi:10.1016/j.trpro.2024.09.005. [Scopus] [2024-01-01]

5. [P06] Nguyen, T. A., Kwag, T., Pham, V., Nguyen, V. N., Hyun, J., Jang, M., & Lee, J.-W. (2024). AAM-VDT: Vehicle Digital Twin for Tele-Operations in Advanced Air Mobility. arXiv preprint, arXiv:2404.09621. doi:10.48550/arXiv.2404.09621. [2024-04-15]

6. [C34] Jang, M., Hyun, J., Kwag, T., Gwak, C., Nguyen, T. A., & Lee, J.-W. (2023). UAMDynCon-DT: A Data-driven Dynamics and Robust Control Framework for UAM Vehicle Digitalization. In: 2023 International Conference on Mechatronics, Control and Robotics (ICMCR), 81–85. doi:10.1109/ICMCR56776.2023.10181072. [2023-02-18]

7. [C20] Nguyen, T. A., Kaliappan, V. K., Jeon, S., Jeon, K., Lee, J.-W., & Min, D. (2023). Blockchain Empowered Federated Learning with Edge Computing for Digital Twin Systems in Urban Air Mobility. In: The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2021), Vol. 2, Lecture Notes in Electrical Engineering 913. doi:10.1007/978-981-19-2635-8_69. [2022-09-30]

8. [C47] Toe, M., Jang, M., Nguyen, T. A., & Lee, J.-W. (2023). Digital Twin Flight Dynamics Model of UAM Vehicle using Spiking Neural Network. In Proceedings of the Korean Society for Aeronautical & Space Sciences Fall Conference 2023, 618–619. [2023-11-15]

9. [C24] Nguyen, T. A., Jeon, K., Lee, J.-W., Fé, I., & Silva, F. A. (2022). Model-driven Mission Dependability Design of Unmanned Aerial Systems. AIAA AVIATION 2022 Forum, AIAA 2022-4091. doi:10.2514/6.2022-4091. [2022-06-20]

10. [C22] Nguyen, T. A., Li, J., Jang, M., Maw, A. A., Pham, V., & Lee, J.-W. (2022). Cloud-in-the-loop simulation: A cloud-based digital twin HW/SW framework for multi-mode AI control simulation of eVTOL KADA-UAM Personal Aerial Vehicles. The Korean Society for Aeronautical & Space Sciences Conference, 138–139. DBpia. [2022-11-16]

11. [C15] Nguyen, T. A., Jeon, S. W., Maw, A. A., Min, D. K., & Lee, J. W. (2021). Toward dependable blockchain and AI engines of digital twin systems for urban air mobility. The Korean Society for Aeronautical & Space Sciences Conference, 408–409. DBpia. [2021-06-02]

12. [C14] Nguyen, T. A., Min, D. K., & Lee, J. W. (2020). iUAM: Service Survivability of Digital Twin Urban Aerial Mobility. The Korean Society for Aeronautical & Space Sciences Conference, 689–690. DBpia. [2020-11-18]

F. Domain 5. Aerospace and space systems

Aerodynamic modeling and data fusion, airfoil design with learning models, eVTOL flight mechanics and control, and early work on unmanned airships and nano satellites.

Journal and book publications

1. [J33] Pham, V., Tyan, M., Nguyen, T. A., & Lee, J.-W. (2023). Extended Hierarchical Kriging Method for Aerodynamic Model Generation Incorporating Multiple Low-Fidelity Datasets. Aerospace, 11(1), 6. doi:10.3390/aerospace11010006. (SCIE, JCR.Q1 Aerospace, Ranking 8/34, IF2022=2.6) [2023-12-20]

2. [J29] Pham, V., Tyan, M., Nguyen, T. A., Lee, C.-H., Nguyen, L. V. T., & Lee, J.-W. (2023). Adaptive Data Fusion Framework for Modeling of Non-Uniform Aerodynamic Data. Chinese Journal of Aeronautics. doi:10.1016/j.cja.2023.05.012. (SCIE, JCR.Q1 Aerospace., Ranking 2/34, IF2022=5.7) [2023-07-01]

3. [J24] Tyan, M., Choi, C.-K., Nguyen, T. A., & Lee, J.-W. (2022). Rapid Airfoil Inverse Design Method with a Deep Neural Network and Hyperparameter Selection. International Journal of Aeronautical and Space Sciences. doi:10.1007/s42405-022-00507-x. (SCIE, JCR.Q3 Aerospace., Ranking 20/34, IF2020=1.489) [2022-09-05]

Conference and preprint publications

1. [C50] Pham, V., Nguyen, N., Nguyen, T. A., & Lee, J.-W. (2024). Multi-fidelity Data Fusion Method for Real-time Aerodynamic Modeling from Flight Data. In Proceedings of the Korean Society for Aeronautical & Space Sciences Fall Conference 2024, 89–90. [2024-11-13]

2. [C40] Hyun, J., Jang, M., Nguyen, T. A., & Lee, J.-W. (2023). Tilt Angle Control Planning for eVTOL using Trim Analysis. In Aerospace Europe Conference 2023: Joint 10th EUCASS – 9th CEAS Conference, Lausanne, Switzerland. doi:10.13009/EUCASS2023-525. [2023-07-09]

3. [C32] Hyun, J., Jang, M., Nguyen, T. A., & Lee, J.-W. (2023). Transition Control Planning and Optimization for a Boxed-wing eVTOL Tiltrotor Vehicle using Trim Analysis. In: 2023 IEEE International Conference on Unmanned Aircraft Systems (ICUAS), 1128–1135. doi:10.1109/ICUAS57906.2023.10156619. [2023-06-06]

4. [C04] Nguyen, T. A., Lee, S., & Park, J. S. (2013). Practical and Potential Applications of an Unmanned Airship based on Automatic Control - Embedded Computer System Design. In: ICCA 2013, Yangon, Myanmar. [2013-02-26]

5. [C03] Nguyen, T. A., Lee, S., & Park, J. S. (2012). Design and Implementation of Automatic Embedded Control Hardware and Software Systems in an Unmanned Airship. In: ICCAIS 2012, Ho Chi Minh City, Vietnam. doi:10.1109/ICCAIS.2012.6466636. [2012-11-01]

6. [C02] Nguyen, T. A., Lee, S., & Park, J. S. (2012). Design and Implementation of Embedded Hardware and Software Architecture in an Unmanned Airship. In: ICESS-2012, Liverpool, UK. doi:10.1109/HPCC.2012.260. [2012-06-01]

7. [C01] Vu, T. T., Dinh, Q. T., Nguyen, T. A., & Tran, T. T. (2010). Lessons learned in F-1 nano-satellite fabrication project. Space Technology and Application Scientific Workshop 2010, Hanoi, Vietnam. [2010-09-14]