Publications
Conference Papers
[NG-OPERA'24] Nguyen-Bao-Long Tran, Mao V. Ngo, Yong Hao Pua, Thanh-Long Le, Binbin Chen, and Tony Quek, "AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment," In IEEE INFOCOM Workshop on Next-generation Open and Programmable Radio Access Networks (NG-OPERA), Vancouver, May 2024. Best Demo Paper Award.
[PAKDD'23] S.S. Saravanan, T. Luo, Mao V. Ngo, "TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks," In 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2023. Acceptance rate: 17%. [PDF]
[ACNS'23] Mao V. Ngo, T. Truong-Huu, D. Rabadi, J. Y. Loo, S. G. Teo, "Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning," In Proceedings of 21st International Conference on Applied Cryptography and Network Security (ACNS 2023), Kyoto, Japan, June 2023. [PDF]
[ESORICS'22] A. Gupta, T. Luo, Mao V. Ngo, S. K. Das, "Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning," in The 27th European Symposium on Research in Computer Security (ESORICS), 2022. Acceptance rate: 19% [PDF]
[Globecom'20] Mao V. Ngo, Tie Luo, Hieu T. Hoang, and Tony Q.S. Quek, " Coordinated Container Migration and Base Station Handover in Mobile Edge Computing ," in Proceeding of the IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2020. [PDF] [Video]
[ICDCS'20] Mao V. Ngo, Tie Luo, Hakima Chaouchi, and Tony Q.S. Quek, "Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing," IEEE International Conference on Distributed Computing Systems (ICDCS), Demo Track, July 2020. Acceptance rate: 30% (13/43) [PDF] [Demo Video]
[AAAI'20] Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q.S. Quek, "Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing," AAAI Workshop on Artificial Intelligence of Things (AIoT), 2020. [PDF]
[HealthCom'17] Mao V. Ngo, Quang Duy La, Derek Leong, and Tony Q. S. Quek, “User Behavior Driven MAC Scheduling for Body Sensor Networks,” in Proc. IEEE HealthCom, Dalian, China, Oct. 2017. IEEE Xplore, Preprint
[Globecom'17] Quang Duy La, Duong Nguyen-Nam, Mao V. Ngo, and Tony Q. S. Quek, “Coexistence Evaluation of Densely Deployed BLE-based Body Area Networks,” in Proc. IEEE Globecom, Singapore, Dec. 2017. IEEE Xplore, Preprint
[ATC'15] Van Mao Ngo, and Que Son Vo, “Applying Queuing Theory to Evaluate Performance of Cluster Wireless Sensor Networks,” in Proc. IEEE ATC, pp. 501-506, Oct. 2015. IEEE Xplore, Preprint
[ISEE'15] Van Mao Ngo, and Que Son Vo, “Application of Queuing Theory to Analyze and Evaluate Performance of Wireless Sensor Networks,” in The International Symposium On Electrical And Electronics Engineering (ISEE), pp. 432-440, Oct. 2015.
Journal Papers:
Mao V. Ngo, Nguyen-Bao-Long Tran, Hyun-Min Yoo, Yong-Hao Pua, Thanh-Long Le, Xian-Loong Liang, Binbin Chen, Een-Kee Hong, Tony Q.S. Quek, "RAN Intelligent Controller (RIC): From open-source implementation to real-world validation," Information & Communications Technology Express, 2024, ScienceDirect
Mao V. Ngo, Tie Luo, Tony Q.S. Quek, "Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach," ACM Transactions on Internet of Things (TIOT). Preprint.
Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q.S. Quek, Hyundong Shin, “User Behavior Driven MAC Scheduling for Body Sensor Networks: A Cross-layer Approach,” IEEE Sensors Journal, 2019. IEEE Xplore, Preprint
Quang Duy La, Duong Nguyen-Nam, Mao V. Ngo, Hieu T Hoang, Tony Q.S. Quek, “Dense Deployment of BLE-based Body Area Networks: A Coexistence Study,” IEEE Transaction on Green Communications and Networking, 2018. IEEE Xplore, Preprint
Quang Duy La, Mao V. Ngo, Thinh Quang Dinh, Tony Q.S. Quek, Hyundong Shin, "Enabling intelligence in fog computing to achieve energy and latency reduction," Digital Communications and Networks, 2018. ScienceDirect