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ORCIDFaisal Nadeem Khan
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Journal Articles
- 2023
[j6]Faisal Nadeem Khan:
Machine Learning-Enabled Intelligent Fiber-Optic Communications: Major Obstacles and the Way Forward. IEEE Commun. Mag. 61(4): 122-128 (2023)- [j5]Qihang Wang, Zhuojun Cai, Alan Pak Tao Lau, Yang Li, Faisal Nadeem Khan:
Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks. J. Opt. Commun. Netw. 15(7): 431-441 (2023) - [j4]Faisal Nadeem Khan
:
Data Perspectives in AI-Assisted Fiber-Optic Communication Networks. IEEE Netw. 37(5): 206-214 (2023) - 2021
- [j3]Jianing Lu, Gai Zhou, Qirui Fan, Dengke Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, Alan Pak Tao Lau:
Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems [Invited]. JOCN 13(4): B35-B44 (2021) - 2015
- [j2]Faisal Nadeem Khan, Chiew Hoon Teow, Shiu Guong Kiu, Ming Chieng Tan, Yudi Zhou, Waled Hussein Al-Arashi, Alan Pak Tao Lau, Chao Lu:
Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling. Comput. Electr. Eng. 47: 126-133 (2015) - 2014
- [j1]Ming Chieng Tan, Faisal Nadeem Khan, Waled Hussein Al-Arashi, Yudi Zhou, Alan Pak Tao Lau:
Simultaneous Optical Performance Monitoring and Modulation Format/Bit-Rate Identification Using Principal Component Analysis. JOCN 6(5): 441-448 (2014)
Conference and Workshop Papers
- 2022
- [c8]Zhenquan Zhao, Bohua Deng, Faisal Nadeem Khan, H. Y. Fu:
Deep Learning-Based Signal-to-Noise Ratio Estimation for Underwater Optical Wireless Communication. ICAIT 2022: 120-123 - 2020
- [c7]Alberto Pepe, H. Y. Fu, Xin Liu, Faisal Nadeem Khan:
Multimedia Data Encryption and Compression via Hybrid Chaotic Compressive Sensing and Latent Vector Transmission. ICAIT 2020: 107-110 - [c6]Qirui Fan, Jianing Lu, Gai Zhou, Derek Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, Alan Pak Tao Lau:
Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems. OFC 2020: 1-3 - [c5]Faisal Nadeem Khan, Qirui Fan, Jianing Lu, Gai Zhou, Chao Lu, Alan Pak Tao Lau:
Applications of Machine Learning in Optical Communications and Networks. OFC 2020: 1-91 - 2019
- [c4]Shuangyi Yan, Faisal Nadeem Khan, Alexandros Mavromatis, Qirui Fan, Hilary Frank, Reza Nejabati, Alan Pak Tao Lau, Dimitra Simeonidou:
Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Management. OFC 2019: 1-3 - 2018
- [c3]Faisal Nadeem Khan, Chao Lu, Alan Pak Tao Lau:
Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques. OFC 2018: 1-3 - 2017
- [c2]Shuangyi Yan, Faisal Nadeem Khan, Alexandros Mavromatis, Dimitrios Gkounis, Qirui Fan, Foteini Ntavou, Konstantinos Nikolovgenis, Fanchao Meng, Emilio Hugues-Salas, Changjian Guo, Chao Lu, Alan Pak Tao Lau, Reza Nejabati, Dimitra Simeonidou:
Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. ECOC 2017: 1-3 - 2010
- [c1]Chao Lu, Alan Pak Tao Lau, Faisal Nadeem Khan, Qi Sui, Jian Zhao, Zhaohui Li, H. Y. Tam, Alexander Ping-Kong Wai:
Optical performance monitoring techniques for high capacity optical networks. CSNDSP 2010: 678-681
Informal and Other Publications
- 2019
- [i1]Yaxi Yan, Changjian Guo, Xiong Wu, Ziqi Lin, Xian Zhou, Faisal Nadeem Khan, Alan Pak Tao Lau, Chao Lu:
Distributed vibration sensing based on forward transmission and coherent detection. CoRR abs/1907.07675 (2019)
Coauthor Index
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