Optical performance monitoring techniques for high capacity optical networks. - Chao Lu 001; Alan Pak Tao Lau; Faisal Nadeem Khan; Qi Sui; Jian Zhao; Zhaohui Li; H. Y. Tam; Alexander Ping-Kong Wai (CSNDSP, 2010)

Simultaneous Optical Performance Monitoring and Modulation Format/Bit-Rate Identification Using Principal Component Analysis. - Ming Chieng Tan; Faisal Nadeem Khan; Waled Hussein Al-Arashi; Yudi Zhou; Alan Pak Tao Lau (JOCN, 2014)

Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling. - Faisal Nadeem Khan; Chiew Hoon Teow; Shiu Guong Kiu; Ming Chieng Tan; Yudi Zhou; Waled Hussein Al-Arashi; Alan Pak Tao Lau; Chao Lu 001 (Comput. Electr. Eng., 2015)

Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. - Shuangyi Yan; Faisal Nadeem Khan; Alexandros Mavromatis; Dimitrios Gkounis; Qirui Fan; Foteini Ntavou; Konstantinos Nikolovgenis; Fanchao Meng 002; Emilio Hugues-Salas; Changjian Guo; Chao Lu 001; Alan Pak Tao Lau; et al. (ECOC, 2017)

Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques. - Faisal Nadeem Khan; Chao Lu 001; Alan Pak Tao Lau (OFC, 2018)

Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Management. - Shuangyi Yan; Faisal Nadeem Khan; Alexandros Mavromatis; Qirui Fan; Hilary Frank; Reza Nejabati; Alan Pak Tao Lau; Dimitra Simeonidou (OFC, 2019)

Distributed vibration sensing based on forward transmission and coherent detection. - Yaxi Yan; Changjian Guo; Xiong Wu; Ziqi Lin; Xian Zhou 001; Faisal Nadeem Khan; Alan Pak Tao Lau; Chao Lu 001 (CoRR, 2019)

Multimedia Data Encryption and Compression via Hybrid Chaotic Compressive Sensing and Latent Vector Transmission. - Alberto Pepe; H. Y. Fu 001; Xin Liu; Faisal Nadeem Khan (ICAIT, 2020)

Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems. - Qirui Fan; Jianing Lu; Gai Zhou; Derek Zeng; Changjian Guo; Linyue Lu; Jianqiang Li; Chongjin Xie; Chao Lu 001; Faisal Nadeem Khan; Alan Pak Tao Lau (OFC, 2020)

Applications of Machine Learning in Optical Communications and Networks. - Faisal Nadeem Khan; Qirui Fan; Jianing Lu; Gai Zhou; Chao Lu 001; Alan Pak Tao Lau (OFC, 2020)

Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems [Invited]. - Jianing Lu; Gai Zhou; Qirui Fan; Dengke Zeng; Changjian Guo; Linyue Lu; Jianqiang Li; Chongjin Xie; Chao Lu 001; Faisal Nadeem Khan; Alan Pak Tao Lau (JOCN, 2021)

Deep Learning-Based Signal-to-Noise Ratio Estimation for Underwater Optical Wireless Communication. - Zhenquan Zhao; Bohua Deng; Faisal Nadeem Khan; H. Y. Fu 001 (ICAIT, 2022)

Machine Learning-Enabled Intelligent Fiber-Optic Communications: Major Obstacles and the Way Forward. - Faisal Nadeem Khan (IEEE Commun. Mag., 2023)

Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks. - Qihang Wang; Zhuojun Cai; Alan Pak Tao Lau; Yang Li; Faisal Nadeem Khan (J. Opt. Commun. Netw., 2023)

Data Perspectives in AI-Assisted Fiber-Optic Communication Networks. - Faisal Nadeem Khan (IEEE Netw., 2023)

Domain adversarial adaptation framework for few-shot QoT estimation in optical networks. - Zhuojun Cai; Qihang Wang; Yubin Deng; Peng Zhang; Gai Zhou; Yang Li; Faisal Nadeem Khan (J. Opt. Commun. Netw., 2024)

Lifelong QoT prediction: an adaptation to real-world optical networks. - Qihang Wang; Zhuojun Cai; Faisal Nadeem Khan (J. Opt. Commun. Netw., 2024)

COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation. - Fanding Huang; Jingyan Jiang; Qinting Jiang; Hebei Li; Faisal Nadeem Khan; Zhi Wang (CVPR, 2025)

A scalable federated learning-based approach for accurate traffic prediction in edge computing-enabled metro optical networks. - Citong Que; Faisal Nadeem Khan (Comput. Ind. Eng., 2025)