Faisal Nadeem Khan

·Ph.D., Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong

·M.Sc., Communications Technology, University of Ulm, Germany

·B.Sc. (with Honours), Electrical Engineering, University of Engineering and Technology Taxila, Pakistan

2021-Present, Associate Professor, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University

2015-2020, Research Fellow, Photonic Research Centre, The Hong Kong Polytechnic University

2012-2015, Senior Lecturer, School of Electrical and Electronic Engineering, University of Science Malaysia

2011-2012, Postdoctoral Research Associate, Photonic Research Centre, The Hong Kong Polytechnic University

2006-2006, Research Assistant, Institute of Optoelectronics, University of Ulm, Germany

2005-2006, LogicaCMG (currently CGI Inc.), Ulm, Germany

·ML applications for intelligent fiber-optic/wireless networks

·DSP techniques for high-speed optical communication systems

·Fiber-optic sensing systems

· Invited speaker at OFC-2018 (OFC is the leading global conference in fiber-optic communications), 2018

· Outstanding researcher award as a faculty member at University of Science Malaysia, 2013

· Best presentation award at 11th IEEE Photonics Society Hong Kong Chapter conference, 2010

· Recipient of Hong Kong RPGS doctoral scholarship for 3 years

Book

[1]F.N. Khan and A.P.T. Lau, Machine Learning for Future Fiber-Optic Communication Systems, In press, Elsevier/Academic Press, USA, 2021.

Book Chapters

[2]F.N. Khan, Q. Fan, C. Lu and A.P.T. Lau, “Machine learning methods for optical communication systems and networks,” in Optical Fiber Telecommunications, 7th ed., Alan E. Willner, Editor, Chapter 21, pp. 921-978, Academic Press, USA, 2019.

[3]F.N. Khan, Z. Dong, C. Lu and A.P.T. Lau, “Optical performance monitoring for fiber-optic communication networks,” in Enabling Technologies for High Spectral-Efficiency Coherent Optical Communication Networks, Xiang Zhou and Chongjin Xie, Editors, Chapter 14, pp. 473-505, John Wiley & Sons, New Jersey, USA, 2016.

Invited Journal Articles

[4]F.N. Khan, Q. Fan, C. Lu and A.P.T. Lau, “An optical communication’s perspective on machine learning and its applications,” IEEE/OSA Journal of Lightwave Technology, vol. 37, no. 2, Jan. 2019.

[5]Z. Dong, F.N. Khan, Q. Sui, K. Zhong, C. Lu and A.P.T. Lau, “Optical performance monitoring: a review of current and future technologies,”IEEE/OSA Journal of Lightwave Technology, vol. 34, no. 2, Jan. 2016.

[6]J. Lu, G. Zhou, Q. Fan, D. Zeng, C. Guo, L. Lu, J. Li, C. Xie, C. Lu, F.N. Khan, and A.P.T. Lau, “Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems,” IEEE/OSA Journal of Optical Communications and Networking, Special Issue on Machine Learning Applied to QoT Estimation in Optical Networks, vol. 13, no. 4, Apr. 2021.

Invited Talks

[7]F.N. Khan, C. Lu and A.P.T. Lau, “Optical performance monitoring in fiber-optic networks enabled by machine learning techniques,”Optical Fiber Communication Conference, San Diego, California, USA, Mar. 2018, Paper M2F.3.

[8]F.N. Khan, Q. Fan, C. Lu and A.P.T. Lau, “Machine learning-assisted optical performance monitoring in fiber-optic networks,” 2018 IEEE Photonics Society Summer Topical Meeting Series, Waikoloa, Hawaii, USA, July 2018, Paper MB4.1.

[9]F.N. Khan, C. Lu and A.P.T. Lau, “Machine learning methods for optical communication systems,” Optical Society of America (OSA) Advanced Photonics Congress, New Orleans, Louisiana, USA, Jul. 2017, Paper SpW2F.3.

Other Journal Articles

[10]Z. Wei, Z. Liu, Z. Wang, M. Li, C.-J.Chen, M.-C. Wu, C. Yu, F.N. Khan and H. Y. Fu, “Real-time multi-user video optical wireless transmission based on a parallel micro-LEDs bulb,” Submitted to IEEE Photonics Journal.

[11]S. Mao, L. Cheng, C. Zhao, F.N. Khan and H.Y. Fu, “Inverse design methodologies for silicon photonics: from iterative optimization algorithms to deep neural networks,” Submitted to Applied Sciences.

[12]A. Pepe, X. Liu, F.N. Khan and H.Y. Fu, “Image restoration using convolutional neural network in latent vector-based digital transmission over noisy communication channels,” Submitted to IET Electronics Letters.

[13]Y. Yan, F.N. Khan, B. Zhou, A.P.T. Lau, C. Lu and C. Guo, “Forward transmission based ultra-long distributed vibration sensing with wide frequency response,” IEEE/OSA Journal of Lightwave Technology, vol. 39, no. 7, Apr. 2021.

[14]F.N. Khan and A.P.T. Lau, “Robust and efficient data transmission over noisy communication channels using stacked and denoising autoencoders,”China Communications, vol. 16, no. 8, Aug. 2019.

[15]J.C.M. Diniz, Q. Fan, S.M. Ranzini, F.D. Ros, F.N. Khan, D. Zibar and A.P.T. Lau, “Low-complexity carrier phase recovery based on principal component analysis for square-QAM modulation formats,” Optical Society of America(OSA) Optics Express, vol. 27, no. 11, May 2019.

[16]X. Zhou, J. Huo, K. Zhong, F.N. Khan, T. Gui, J. Tuet al., “Single channel 50 Gbit/s transmission over 40 km SSMF without optical amplification and in-line dispersion compensation using a single-end PD-based PDM-SSB-DMT system,” IEEE Photonics Journal, vol. 9, no. 5, Oct. 2017.

[17]F.N. Khan, K. Zhong, X. Zhou, W.H. Al-Arashi, C. Yu, C. Lu and A.P.T. Lau, “Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks,” Optical Society of America(OSA) Optics Express, vol. 25, no. 15, Jul. 2017.

[18]A.K. Azad, F.N. Khan*, W.H. Al-Arashi, N. Guo, A.P.T. Lau and C. Lu, “Temperature extraction in Brillouin optical time-domain analysis sensors using principal component analysis based pattern recognition,” Optical Society of America(OSA) Optics Express, vol. 25, no. 14, Jul. 2017.

[19]F.N. Khan and M.C. Tan, “Duty-cycle detection for noisy arbitrary waveforms using artificial neural networks,” IET Electronics Letters, vol. 53, no. 2, Jan. 2017.

[20]F.N. Khan, K. Zhong, W.H. Al-Arashi, C. Yu, C. Lu and A.P.T. Lau, “Modulation format identification in coherent receivers using deep machine learning,” IEEE Photonics Technology Letters, vol. 28, no. 17, Sep. 2016.

[21]F.N. Khan, C. Lu and A. P. T. Lau, “Joint modulation format/bit-rate classification and signal-to-noise ratio estimation in multipath fading channels using deep machine learning,” IET Electronics Letters, vol. 52, no. 14, Jul. 2016.

[22]F.N. Khan, Y. Yu, M.C. Tan, W.H. Al-Arashi, C. Yu, A.P.T. Lau and C. Lu, “Experimental demonstration of joint OSNR monitoring and modulation format identification using asynchronous single channel sampling,” Optical Society of America(OSA)Optics Express, vol. 23, no. 23, Nov. 2015.

[23]F.N. Khan, C.H. Teow, S.G. Kiu, M.C. Tan, Y. Zhou, W.H. Al-Arashi, A.P.T. Lau and C. Lu, “Automatic modulation format/bit rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling,” Elsevier: Computers and Electrical Engineering, vol. 47, Oct. 2015.

[24]M.C. Tan, F.N. Khan*, W.H. Al-Arashi, Y. Zhou and A.P.T. Lau, “Simultaneous optical performance monitoring and modulation format/bit-rate identification using principal component analysis,” IEEE/OSA Journal of Optical Communications and Networking, vol. 6, no. 5, May 2014.

[25]F.N. Khan, Y. Zhou, Q. Sui and A.P.T. Lau, “Non-data-aided joint bit-rate and modulation format identification for next-generation heterogeneous optical networks,” Elsevier: Optical Fiber Technology, vol. 20, no. 2, Mar. 2014.

[26]F.N. Khan, A.P.T. Lau, T.B. Anderson, J.C. Li, C. Lu and P.K.A. Wai, “Simultaneous and independent OSNR and chromatic dispersion monitoring using empirical moments of asynchronously sampled signal amplitudes,” IEEE Photonics Journal, vol. 4, no. 5, Oct. 2012.

[27]F.N. Khan, Y. Zhou, A.P.T. Lau and C. Lu, “Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks,” Optical Society of America(OSA) Optics Express, vol. 20, no. 11, May 2012.

[28]F.N. Khan, T.S.R. Shen, Y. Zhou, A.P.T. Lau and C. Lu, “Optical performance monitoring using artificial neural networks trained with empirical moments of asynchronously sampled signal amplitudes,” IEEE Photonics Technology Letters, vol. 24, no. 12, Jun. 2012.

[29]A.P.T. Lau, Z. Li, F.N. Khan, C. Lu and P.K.A. Wai, “Analysis of signed chromatic dispersion monitoring by waveform asymmetry for differentially-coherent phase- modulated systems,”Optical Society of America(OSA)Optics Express, vol. 19, no. 5, Feb. 2011.

[30]F.N. Khan, A.P.T. Lau, C. Lu and P.K.A. Wai, “Chromatic dispersion monitoring for multiple modulation formats and data rates using sideband optical filtering and asynchronous amplitude sampling technique,” Optical Society of America(OSA)Optics Express, vol. 19, no. 2, Jan. 2011.

[31]F.N. Khan, A.P.T. Lau, Z. Li, C. Lu and P.K.A. Wai, “OSNR monitoring for RZ-DQPSK systems using half-symbol delay-tap sampling technique,” IEEE Photonics Technology Letters, vol. 22, no. 11, June 2010.

[32]F.N. Khan, A.P.T. Lau,Z. Li, C. Lu and P.K.A. Wai, “Statistical analysis of optical signal-to-noise ratio monitoring using delay-tap sampling,” IEEE Photonics Technology Letters, vol. 22, no. 3, Feb. 2010.

Conference Papers

[33]A. Pepe, X. Liu, H.Y. Fu and F.N. Khan, “Multimedia data encryption and compression via hybrid chaotic compressive sensing and latent vector transmission,” Int. Conf. on Advanced Infocomm Technology, Macau, Nov. 2020.

[34]A. Pepe, X. Liu, F.N. Khan and H.Y. Fu “Two-stages multimedia data encryption and compression via joint chaotic compressive sensing & latent vector transmission,” Asia Communications and Photonics Conf., Beijing, China, Oct. 2020.

[35]A.P.T. Lau, F.N. Khan, Q. Fan, J. Lu and C. Lu, “Application of machine learning in optical communications,” Optical Society of America(OSA)Advanced Photonics Congress, Montreal, Canada, Jul. 2020.

[36]F.N. Khan, Q. Fan, J. Lu, G. Zhou, C. Lu and A.P.T. Lau, “Applications of machine learning in optical communications and networks,” Optical Fiber Communication Conference, San Diego, California, USA, Mar. 2020.

[37]Q. Fan, J. Lu, G. Zhou, D. Zeng, C. Guo, L. Lu, J. Li, C. Xie, C. Lu, F.N. Khan and A.P.T. Lau, “Experimental comparisons between machine learning and analytical models for QoT estimations in WDM systems,” Optical Fiber Communication Conference, San Diego, California, USA, Mar. 2020.

[38]F.N. Khan, Q. Fan, A.P.T. Lau and C. Lu, “Applications of machine learning in optical communications and networks,” SPIE Photonics WestConference, San Francisco, California, USA, Feb. 2020.

[39]S. Yan, F.N. Khan, A. Mavromatis, Q. Fan, H. Frank, R. Nejabatiet al., “Field trial of machine-learning-assisted and SDN-based optical network management,” Optical Fiber Communication Conference, San Diego, California, USA, Mar. 2019.

[40]A.P.T. Lau, F.N. Khan, Q. Fan and C. Lu “Application of machine learning techniques in fiber-optic communication systems,” Optical Society of America(OSA)Advanced Photonics Congress, Zurich, Switzerland, Jul. 2018.

[41]S. Savian, J.C.M. Diniz, A.P.T. Lau, F.N. Khanet al., “Joint estimation of IQ phase and gain imbalances using convolutional neural networks on eye diagrams,” Conferenceon Lasers and Electro-Optics, San Jose, USA, May 2018.

[42]S. Yan, F.N. Khan, A. Mavromatis, D. Gkounis, Q. Fan, F. Ntavou, K. Nikolovgeniset al., “Field trial of machine-learning-assisted and SDN-based optical network planning with network-scale monitoring database,” European Conference on Optical Communication, Gothenberg, Sweden, Sep. 2017,Post-deadline paper.

[43]B. Wang, N. Guo, F.N. Khan, A.K. Azad, C. Yu, C. Lu and L. Wang, “Extraction of temperature distribution using deep neural networks for BOTDA sensing system,” Optoelectronics and Communications Conference, Singapore, Jul. 2017.

[44]F.N. Khan, Y. Yu, M.C. Tan, C. Yu, A.P.T. Lau and C. Lu, “Simultaneous OSNR monitoring and modulation format identification using asynchronous single channel sampling, ” Asia Communications and Photonics Conference, Hong Kong, Nov. 2015.

[45] C. Lu, A.P.T. Lau, Q. Sui, F.N. Khan and Z. Dong, “Optical Performance Monitoring: from direct detection to coherent optical communication systems,” Asia Communications and Photonics Conference(ACP), Guangzhou, China, Nov. 2012.

[46]F.N. Khan, A.P.T. Lau, C. Lu and P.K.A. Wai, “Joint OSNR and chromatic dispersion monitoring using empirical moments of asynchronously sampled signal amplitudes,” Optoelectronics and Communications Conference, Taiwan, Jul. 2011.

[47]A.P.T. Lau, Q. Sui, T.S.R. Shen, F.N. Khan and C. Lu, “Optical performance monitoring using statistical signal processing,” International Conference on Optical Communications and Networks(ICOCN), Nanjing, China, Oct. 2010.

[48]A.P.T. Lau, Q. Sui, T.S.R. Shen, F.N. Khan and C. Lu, “Optical performance monitoring using statistical signal processing,” International Conference on Advanced Infocomm Technology(ICAIT), Haikou, Hainan Island, China, Jul. 2010.

[49]C. Lu,A.P.T. Lau, F.N. Khan,Q. Sui, J. Zhao, Z. Li, H.Y. Tam and P.K.A. Wai, “Optical performance monitoring techniques for high capacity optical networks,” in Proceedings of7thInternational Symposium on Communication Systems Networks and Digital Signal Processing(CSNDSP), New Castle, UK, Jul. 2010.

[50]F.N. Khan, A.P.T. Lau, C. Lu and P.K.A. Wai, “Wide dynamic range OSNR monitoring for RZ-DQPSK systems using delay-tap sampling technique,” Optical Fiber Communication Conference, San Diego, California, USA, Mar. 2010.

[51]F.N. Khan, A.P.T. Lau, C. Lu and P.K.A. Wai, “Chromatic dispersion monitoring using coherent detection and tone power measurement,” Optoelectronics and Communications Conference, Hong Kong, Jul. 2009.

·Highly-motivated masters and Ph.D. students worldwide, with excellent background in communication systems and having reasonable knowledge/skills in ML, are encouraged to apply.

·Post-doctoral researchers (from China) with evidence of research ability and potential in my areas of interest are also encouraged to contact me for more information about the current opportunities.