Conference papers
ICC’26 Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Tony Q. S. Quek, Tejaswita Kumari, and Maziar Nekovee, “LLM-Based Net Analyzer rApp for Explainable and Safe Automation in O-RAN Non-RT RIC,” IEEE ICC Workshop Open, Programmable, and AI-native RAN, Glasgow, Scotland, UK, 2026 (to appear). Preprint (arXiv)
INFOCOM AI-RAN’26 Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo, Lim Yi Shen, Lin Wei, Jihong Park, Binbin Chen, Tony Q.S. Quek, “SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud,” IEEE INFOCOM Workshops 2026 (6G AI-RAN 2026), Tokyo, Japan (to appear). Preprint (arXiv)
GLOBECOM’25 Tam Thanh Nguyen, Tuan Van Ngo, Long Thanh Le, Yong Hao Pua, Mao Van Ngo, Binbin Chen, and Tony Q. S. Quek, “Adaptive AI Model Partitioning over 5G Networks,” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2025. Preprint (arXiv)
OpenRIT6G’24 Nguyen Bao Long Tran, Tuan Van Ngo, Mao Van Ngo, Binbin Chen, Jihong Park and Tony Q. S. Quek, “INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research,” IEEE Globecom Workshops: OpenRIT6G, Cape Town, Dec. 2024. Preprint (arXiv)
RitiRAN’24 (mMIMO O-RU) Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, and Tony Quek, “Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan–Singapore Experience,” IEEE VTC workshop RitiRAN, Washington DC, Oct. 2024. PDF (arXiv)
RitiRAN’24 (O-DU) Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, and Tony Quek, “Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents,” IEEE VTC workshop RitiRAN, Washington DC, Oct. 2024. PDF (arXiv)
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,” IEEE INFOCOM Workshop 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,” 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2023. Acceptance rate: 17%. PDF (arXiv)
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,” 21st International Conference on Applied Cryptography and Network Security (ACNS), Kyoto, Japan, June 2023. PDF (arXiv)
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,” 27th European Symposium on Research in Computer Security (ESORICS), 2022. Acceptance rate: 19%. PDF (arXiv)
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,” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2020. PDF (arXiv) · 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 (arXiv) · 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 (arXiv)
HealthCom’17 Mao V. Ngo, Quang Duy La, Derek Leong, and Tony Q. S. Quek, “User Behavior Driven MAC Scheduling for Body Sensor Networks,” Proc. IEEE HealthCom, Dalian, China, Oct. 2017. IEEE Xplore · Preprint
GLOBECOM’17 Quang Duy La, Duong Nguyen-Nam, M. V. Ngo, and Tony Q. S. Quek, “Coexistence Evaluation of Densely Deployed BLE-based Body Area Networks,” 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,” 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,” 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 (DOI)
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, 2021. ACM · Preprint (arXiv)
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 Transactions 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 · Best Paper Award
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