Biography

Dr. Xu received his Ph.D. degree in the area of Optical Communications and Digital Signal Processing in School of Information and Communication Technology (ICT), at Royal Institute of Technology (KTH), Sweden. Following this, he worked as a Postdoctoral Research Fellow at KTH and RISE Acreo and a visiting Research Fellow at Technical University of Denmark (DTU). After that, he worked as a Senior Research Fellow in Optical Networks Group (ONG) at University College London (UCL). Dr Xu joined University of Warwick as an Assistant Professor, and he is also an Honorary Lecturer at University College London (UCL).

His current research interests include optical communication systems and networks, intelligent signal processing, machine learning techniques, optical sensing systems and opto-electronics. Dr. Xu has been the Chair of Optics in Digital Systems Technical Group in Optical Society of America (OSA/Optica), and the TPC co-chair/member of over 20 IEEE conferences, e.g. GLOBECOM, ICC, CLEO-PR etc. He has published over 120 journal and conference papers (including 30 invited) and 2 invited book chapters.

Research Interests

• Optical Communication Systems; Optical Transport Networks
• Intelligent Signal Processing; Machine Learning Techniques
• Transceiver and Channel Modelling for Linear and Nonlinear Optical Networks
• Information Theory; Coding Theory for Nonlinear Optical Channels
• Optical Sensing, Fibre Sensing Systems and Optoelectronics

Teaching Interests

• ES335 Communications Systems
• ES4C4 Optical Communication Systems
• ES327 Undergraduate Student Projects
• ES97N MSc Student Projects

Selected Publications

Full Publication ListLink opens in a new window and my Google ScholarLink opens in a new window (Citations 2035, H-index 26) pages can be found here.

Optical Communications, Intelligent Signal Processing and Machine Learning

1. W. Hu, K. Zhuang, S. Popov, M. Leeson, T. Xu, “Tapping eavesdropper designs against physical layer secret key in point-to-point fiber communicationsLink opens in a new window,” [IEEE/Optica] Journal of Lightwave Technology, accepted, 2023. (JCR-Q1, IF: 4.439)
2. J. Ding, T. Liu, T. Xu, W. Hu, S. Popov, M. Leeson, J. Zhao, T. Xu, “Intra-channel nonlinearity mitigation in optical fiber transmission systems using perturbation-based neural networkLink opens in a new window,” [IEEE/Optica] Journal of Lightwave Technology, Vol.40(21), pp.7106-7116, 2022. (JCR-Q1, IF: 4.439)
3. W. Hu, M. Zhang, Z. Li, S. Popov, M. Leeson, T. Xu, “High-dimensional feature based non-coherent detection for multi-intensity modulated ultraviolet communicationsLink opens in a new window,” [IEEE/Optica] Journal of Lightwave Technology, Vol.40(7), pp.1879-1887, 2022. (JCR-Q1, IF: 4.439)
4. C. Jin, N. A. Shevchenko, Z. Li, S. Popov, Y. Chen, T. Xu, “Nonlinear coherent optical systems in the presence of equalization enhanced phase noiseLink opens in a new window,” [IEEE/Optica] Journal of Lightwave Technology, Vol.39(14), pp.4646-4653, 2021. (JCR-Q1, IF: 4.439)
5. J. Liu, T. Xu, “Theoretical analysis of non-reciprocal phase shift due to birefringence and topology in fiber ring interferometersLink opens in a new window,” [Elsevier] Optics and Laser Technology, Vol.142, pp.107249, 2021. (JCR-Q1, IF: 4.939)
6. W. Hu, Z. Wei, S. Popov, M. Leeson, M. Zhang, T. Xu, “Non-coherent detection for ultraviolet communications with inter-symbol interferenceLink opens in a new window,” [IEEE/Optica] Journal of Lightwave Technology, Vol.38(17), pp.4699-4707, 2020. (JCR-Q1, IF: 4.439)

Optical Sensing and Optoelectronics

1. Z. Wang, Y. Liu, H. Wang, S. Wang, K. Liu, T. Xu, J Jiang, Y. Chen, T. Liu, “Ultra-sensitive DNAzyme-based optofluidic biosensor with liquid crystal-Au nanoparticle hybrid amplification for molecular detectionLink opens in a new window,” [Elsevier] Sensors and Actuators B: Chemical, Vol.359, 131608, 2022. (JCR-Q1, IF: 9.221)
2. Z. Wang, L. Shang, Z. Gao, K. K. Chan, C. Gong, C. Wang, T. Xu, T. Liu, S. Feng, Y. Chen, “Motor-like microlasers functioning in biological fluidsLink opens in a new window,” [Royal Society of Chemistry] Lab on a Chip, D2LC00513A, 2022. (JCR-Q1, IF: 7.517, Inside Front Cover Paper)
3. Z. Wang, Y. Liu, C. Gong, Z. Yuan, L. Sheng, P. Chang, K. Liu, T. Xu, J. Jiang, Y. Chen, T. Liu, “Liquid crystal -amplified optofluidic biosensor for ultra-highly sensitive and stable protein assayLink opens in a new window,” [Springer Nature] PhotoniX, Vol.2, 18, 2021. (JCR-Q1, IF: 19.818)
4. Z. Wang, T. Xu, A. Noel, Y. Chen, T. Liu, “Applications of liquid crystals in biosensingLink opens in a new window,” [Royal Society of Chemistry] Soft Matter, Vol.17(18), 4675-4702, 2021. (JCR-Q2, IF: 4.046, Back Cover Paper)

Book Chapters

1. T. Xu, G. Liga, P. Bayvel, “Higher-order modulation formats, constellation design, and DSP for high-speed transmission systems,” Chapter 9 in Optical Fiber Telecommunications VIILink opens in a new window, Academic Press, Oxford, 2020.

Projects and Grants

Professional Activities and Memberships

Vacancies

• PhD applications by excellent overseas candidates towards the Chancellor's International Scholarship (CIS)Link opens in a new window , the Chinese Scholarship Council (CSC)Link opens in a new window the Monash-Warwick Joint PhD scholarshipsLink opens in a new window and EUTOPIA PhD studentshipsLink opens in a new window.
• Externally-/Industry-/Self-funded applicants to the PhD projects and the MSc by research projects
• Research Fellow applications via EUTOPIA SIF FellowshipsLink opens in a new window, UK Newton FellowshipsLink opens in a new window and EU MSCA FellowshipsLink opens in a new window
• Visiting PhD Students and Visiting Research Fellows

• Warwick holds a directory of scholarship informationLink opens in a new window for eligible international and national applicants

Topics for PhD Students and Research Fellows

• Machine Learning Techniques in Optical Communication Systems
• Intelligent Signal Processing in Mitigating Optical Transmission Impairments
• Physical Layer Security in Optical Communication Systems and Networks
• Liquid Crystal Based Optical Biosensing Systems for Protein and DNA Detection

Topics for Research Visitors

• Optical Communication Systems and Networks
• Machine Learning, Communication and Information Theory in Optical Communications
• Optical Sensing Systems, Optical Fibre Sensing and Opto-Electronics