Prof. Edith Cheuk Han NGAI
Professor Edith Cheuk Han NGAI
Associate Professor
ACM Distinguished Member; IEEE Senior Member; IEEE ComSoc Distinguished Lecturer 2023-2024
  3917 2675
  CB-608
Research Interests:
Internet-of-Things; Mobile Computing; Edge Intelligence; Network Security and Data Privacy; Smart Cities and Health Informatics.

Biography

Edith C.H. Ngai is currently an Associate Professor in the Department of Electrical and Computer Engineering, The University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology, Uppsala University, Sweden. Her research interests include Internet-of-Things, edge intelligence, and smart cities. She was a VINNMER Fellow (2009) awarded by Swedish Governmental Research Funding Agency. Her co-authored papers received a Best Paper Award in QShine 2023, Best Paper Runner-Up Awards in IEEE IWQoS 2010 and ACM/IEEE IPSN 2013, and Best paper candidate in ACM BuildSys 2024. She was a project leader of the “Green IoT” in Sweden, which was selected on IVA’s 100-list 2020 by the Royal Swedish Academy of Engineering Sciences (IVA). She received a Meta Policy Research Award in Asia Pacific (2022). She was an N²Women Star (2022) in Computer Networking and Communications. She is recognised as world’s top 1% researchers by citations ranked by Clarivate Analytics in 2021-2025. She is a Distinguished Lecturer in IEEE Communications Society (2023-2024) and an ACM Distinguished Member (2025). Details in CV (Jan 2026).

She was an Area Editor of IEEE Internet of Things Journal from 2020 to 2022. She is currently an Associate Editor in IEEE Transactions of Mobile Computing, IEEE Network, IEEE Transactions of Industrial Informatics, Ad Hoc Networks, and Computer Networks. She served as a program chair in ACM womENcourage 2015 and a TPC co-chair in IEEE SmartCity 2015, IEEE GreenCom 2022, IEEE/ACM IWQoS 2024, IEEE CloudCom 2025. She serves as a TPC co-chair for ACM/IEEE Symposium on Edge Computing (SEC) 2026, AI & ML-based Smart Design Track in IEEE MASS 2026, and IEEE Infocom Workshop on Embodied Intelligence Networks EIN 2026.

 

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Selected Publications

  • H. Chen, W. Deng, S. Yang, J. Xu, Z. Jiang, E. C.H. Ngai*, J. Liu, and X. Liu, “Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges” IEEE Network, 2025.
  • S. Yang, X. Zheng, J. Li, J. Xu, X. Zhang and E. C.H. Ngai*, Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection, in IEEE Transactions on Dependable and Secure Computing, vol. 22, no. 6, pp. 7632-7646, 2025.
  • S. Li, E. C. H. Ngai*, and T. Voigt, An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning, IEEE Transactions on Big Data, 10(6): 975-988, 2024.
  • J. Zhang, X. Hu, Z. Ning, E. C.H. Ngai, L. Zhou, J. Wei, J. Cheng, B. Hu: Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks, IEEE Internet of Things Journal 5(4): 2633-2645, 2018. (citation: 683)
  • B. Ahlgren, M. Hidell, and E. C.H. Ngai*, Internet-of-Things for Smart Cities: Interoperability and Open Data, IEEE Internet Computing, Vol 20, Issue 6, 2016. (citation: 486)
  • C. Zhu, V. C. M. Leung, L. Shu, and E. C.H. Ngai, Green Internet of Things for Smart World, IEEE Access, vol. 3, pp. 2151-2162, 2015. (citation: 704)