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Dr Lu Gan
Reader

Summary

Dr. Lu Gan received her B. Eng and M. Eng. degrees from South East University, China and the Ph.D degree from Nanyang Technological University, Singapore in 1998, 2000 and 2004 respectively. She is currently a Reader in Brunel University, London. Before she joined Brunel University in 2008, she has been on the faculties with The University of Newcastle (2004-2006), Australia and University of Liverpool, UK (2006-2007). From 2003 to 2004, she was a research associate in Centre for Signal Processing, Nanyang Technological University. 
Dr. Gan’s research interests include fundamental signal processing and machine learning theories and their applications in image/video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning and wireless communications etc. Her research work has been funded by Australian research council, The Engineering and Physical Sciences Research Council (EPSRC) UK, Innovate UK, BBSRC, UK atomic energy Authority and TWI.  She is a senior member of IEEE and serves as Associate Editors for IEEE signal processing letters, IEEE Trans on Circuits and Systems-I and Meta Reviewer (Area Chair) of ICASSP 2025.  She has been a regular reviewer for many top journals including IEEE Transactions on Information theory, IEEE Transactions on Signal Processing, IEEE transactions on Communications and IEEE transactions on image processing etc. 
She is a panel member of Royal Society Tranvel grants and has also been reviewing research grants in UK EPSRC and UK STFC and FWO in Belgium (equivalent to EPSRC in UK).  
Her google scholar file can be found here.

Qualifications

Responsibility

Departmental Management Role

Director of Teaching and Learning (UG)

Membership of research centres at Brunel

Awards

  1. Best paper award on Cryptography and security from Journal of The British Blockchain Association in 2022
  2. Zeng, H. Liu, L. Xue, Y. Zhou and L. Gan “Robust anomaly sound detection framework for machine condition monitoring”, Gold medal of Task 2 "Robust anomaly sound detection framework for machine condition monitoring" at IEEE Audio and Acoustic Signal Processing Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) 2022. 

Newest selected publications

Qin, W., Gong, X., Hou, W., Gan, L., Xu, Y. and Guo, L. (2026) 'Experimental Demonstration of Eavesdropping Localization Based on Physics-Informed Neural Network'. Journal of Lightwave Technology, 44 (9). pp. 3413 - 3425. ISSN: 0733-8724 Open Access Link

Journal article

Yan, W., Li, Z., Gan, L., Liu, H. and Li, G. (2026) 'Bit-Efficient Quantisation for Two-Channel Modulo-Sampling Systems'. IEEE Signal Processing Letters, 0 (early access). pp. 1 - 5. ISSN: 1070-9908 Open Access Link

Journal article

Shen, C., Yan, W., Zhang, YD. and Gan, L. (2026) 'Integrating Robust CRT With Signal Unwrapping for Modulo Sampling'. IEEE Signal Processing Letters, 33. pp. 2285 - 2289. ISSN: 1070-9908

Journal article

Yan, W., Li, Z., Gan, L., Liu, H. and Li, G. (2026) 'Difference-Based Recovery for Modulo Sampling: Tightened Bounds and Robustness Guarantees'. IEEE Transactions on Signal Processing, 74. pp. 2145 - 2158. ISSN: 1053-587X

Journal article

Qin, W., Gong, X., Hou, W., Gan, L. and Guo, L. (2025) 'Experimental Demonstration of Bending Eavesdropping Detection in Optical Communications Using a Physics-Informed Convolutional Network'. Journal of Lightwave Technology, 0 (early access). pp. 1 - 10. ISSN: 0733-8724 Open Access Link

Journal article
More publications(58)