Coexistence Evaluation of Densely Deployed BLE-Based Body Area Networks. - Quang Duy La; Duong Nguyen-Nam; Mao Van Ngo; Tony Q. S. Quek (GLOBECOM, 2017)

User behavior driven MAC scheduling for body sensor networks. - Mao V. Ngo; Quang Duy La; Derek Leong; Tony Q. S. Quek (Healthcom, 2017)

Dense Deployment of BLE-Based Body Area Networks: A Coexistence Study. - Quang Duy La; Duong Nguyen-Nam; Mao V. Ngo; Hieu T. Hoang; Tony Q. S. Quek (IEEE Trans. Green Commun. Netw., 2018)

Enabling intelligence in fog computing to achieve energy and latency reduction. - Quang Duy La; Mao V. Ngo; Thinh Quang Dinh; Tony Q. S. Quek; Hyundong Shin (Digit. Commun. Networks, 2019)

Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. - Mao V. Ngo; Tie Luo 001; Hieu T. Hoang; Tony Q. S. Quek (GLOBECOM, 2020)

Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. - Mao V. Ngo; Tie Luo 001; Hakima Chaouchi; Tony Q. S. Quek (ICDCS, 2020)

Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. - Mao V. Ngo; Hakima Chaouchi; Tie Luo 001; Tony Q. S. Quek (CoRR, 2020)

Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. - Ashish Gupta 012; Tie Luo 001; Mao V. Ngo; Sajal K. Das 001 (ESORICS (3), 2022)

Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. - Mao V. Ngo; Tie Luo 001; Tony Q. S. Quek (ACM Trans. Internet Things, 2022)

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. - Mao V. Ngo; Tram Truong Huu; Dima Rabadi; Jia Yi Loo; Sin G. Teo (ACNS (1), 2023)

A Novel Feature Vector for AI-Assisted Windows Malware Detection. - Le Qi Yau; Yik Ting Lam; Ashwin Lokesh; Prannaya Gupta; Justin Lim; Ishneet Sukhvinder Singh; Jia Yi Loo; Mao V. Ngo; Sin G. Teo; Tram Truong Huu (DASC/PiCom/CBDCom/CyberSciTech, 2023)

TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. - Shyam Sundar Saravanan; Tie Luo 001; Mao Van Ngo (PAKDD (1), 2023)

INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research. - Nguyen-Bao-Long Tran; Tuan V. Ngo; Mao V. Ngo; Binbin Chen 001; Jihong Park; Tony Q. S. Quek (GLOBECOM (Workshops), 2024)

AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment. - Nguyen-Bao-Long Tran; Mao V. Ngo; Yong-Hao Pua; Thanh-Long Le; Binbin Chen 001; Tony Q. S. Quek (INFOCOM (Workshops), 2024)

Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents. - Tuan V. Ngo; Mao V. Ngo; Binbin Chen 001; Gabriele Gemmi; Eduardo Baena; Michele Polese; Tommaso Melodia; William Chien; Tony Q. S. Quek (VTC Fall, 2024)

Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience. - Thanh-Tam Nguyen; Mao V. Ngo; Binbin Chen 001; Mitsuhiro Kuchitsu; Serena Wai; Seitaro Kawai; Kenya Suzuki; Eng Wei Koo; Tony Q. S. Quek (VTC Fall, 2024)

RAN Intelligent Controller (RIC): From open-source implementation to real-world validation. - Mao V. Ngo; Nguyen-Bao-Long Tran; Hyun-Min Yoo; Yong-Hao Pua; Thanh-Long Le; Xian-Loong Liang; Binbin Chen 001; Een-Kee Hong; Tony Q. S. Quek (ICT Express, 2024)

Digital Twins Meet Open RAN: Case Studies, Implementation, and Opportunities. - Longyu Zhou; Mao V. Ngo; Binbin Chen 001; Tony Q. S. Quek (IEEE Commun. Mag., 2025)