Luong Van Thien

RESEARCH INTERESTS

• Machine learning, deep learning, artificial intelligence
• Computer vision, natural language processing, image processing
• Advanced telecommunications networks, 5G, 6G wireless networks
• Internet of Things (IoT), cyber-physical systems, AIoT

SELECTED PUBLICATIONS

• T. V. Luong, N. Shlezinger, C. Xu, T. M. Hoang, Y. C. Eldar, and L. Hanzo, “Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink“, IEEE Trans. Veh. Technol., July 2022. (Accepted)
• C. Xu, T. V. Luong, L. Xiang, S. Sugiura, R. G. Maunder, L.-L. Yang, and L. Hanzo, “Turbo Detection Aided Autoencoder for Multi-Carrier Wireless Systems: Integrating Deep Learning into Channel Coded Systems,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 600-614, June 2022.
• T. M. Hoang, T. Van Chien, T. V. Luong, S. Chatzinotas, B. Ottersten and L. Hanzo, “Detection of Spoofing Attacks in Aeronautical Ad-hoc Networks Using Deep Autoencoders,” IEEE Trans. Inf. Forensics Security, vol. 17, pp. 1010-1023, 2022.
• T. T. V. Nguyen, N. C. Luong, F. Shaohan, H. T. Nguyen, K. Zhu, T. V. Luong, and D. Niyato, “Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches“, IEEE Trans. Wireless Commun., Jan. 2022. (To appear)
• X. Zhang, T. V. Luong, P. Petropoulos, and L. Hanzo, “Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection“, Journal of Lightwave Technology, vol. 40, no. 8, pp. 2357-2369, April 2022.
• T. M. Hoang, T. V. Luong, D. Liu, J. Zhang, and L. Hanzo, “Deep Learning Aided Physical-Layer Security: The Security versus Reliability Trade-off,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 442-453, June 2022.
• L. Xiang, C. Xu, X. Zhang, T. V. Luong, R. G. Maunder, L.-L. Yang, and L. Hanzo, “Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems,” IEEE Trans. Veh. Technol., vol. 71, no. 5, pp. 5037-5047, May 2022.
• T. M. Hoang, D. Liu, T. V. Luong, and L. Hanzo, “RIS-aided AANETs: Security Maximization Relying on Unsupervised Projection-based Neural Networks” IEEE Trans. Veh. Technol, vol. 71, no. 2, pp. 2214-2219, Feb. 2022.
• T. V. Luong, X. Zhang, L. Xiang, T. M. Hoang, C. Xu, P. Petropoulos, and L. Hanzo, “Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM,” IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 212-226, Jan. 2022. Special issues on Machine Learning in Communications and Networks.
• T. V. Luong, Y. Ko, M. Matthaiou, N. A. Vien, M.-T. Le and V.-D. Ngo, “Deep learning-aided multicarrier systems,” IEEE Trans. Wireless Commun., vol. 20, no. 3, pp. 2109-2119, 2021.
• L. Xiang, Y. Liu, T. V. Luong, R. G. Maunder, L. -L. Yang and L. Hanzo, “Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation,” IEEE Access, vol. 8, pp. 191910-191919, 2020.
• T. V. Luong, Y. Ko, M. Matthaiou, N. A. Vien and H. Q. Ngo, “Deep energy autoencoder for noncoherent multicarrier MU-SIMO systems“, IEEE Trans. Wireless Commun., vol. 19, no. 6, pp. 3952-3962, June 2020.
• T. V. Luong, Y. Ko, N. A. Vien, D. H. N. Nguyen, and M. Matthaiou, “Deep-Learning-Based Detector for OFDM-IM“, IEEE Wireless Commun. Lett., vol. 8, no. 4, pp. 1159-1162, Aug. 2019.

AWARDS & HONOURS

• Golden Globe Award for Outstanding Young Researcher (2022)
• Full EPSRC Ph.D. Scholarship in Queen’s University Belfast. (2016-2019)
• Third Prize in Scientific Research Competition at HUST. (2015)
• Third Prize in Vietnam Mathematics Olympiad for High School Students. (2010)

TEACHING COURSES

• Introduction to Artificial Intelligence and Data Science
• Computer Architecture
• English for Specific Purposes (ESP)
• Introduction to Information Technology (IT)
• Microcomputer Applications