Skip to Content
Skip to main content

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

Wan, L., Liu, H., Shi, L., Zhou, Y. and Gan, L. (2024) 'Cross Domain Optimization for Speech Enhancement: Parallel or Cascade?'. IEEE/ACM Transactions on Audio Speech and Language Processing, 32. pp. 4328 - 4341. ISSN: 2329-9290 Open Access Link

Journal article

Li, Y., Wu, R., Gan, L. and He, P. (2024) 'Development of an effective relay communication technique for multi-UAV wireless network'. IEEE Access, 12. pp. 74087 - 74095.Open Access Link

Journal article

Hu, A., Gan, L., Guo, L., Yan, H. and Hu, J. (2024) 'Convex optimization-based high-speed and security joint optimization scheme in optical access networks'. Optics Express, 32 (4). pp. 6748 - 6748.Open Access Link

Journal article

Song, L., Shi, D., Gan, L. and Gao, X. (2024) 'Robust Precoding for HF Skywave Massive MIMO with Slepian Transform'. IEEE Transactions on Communications, 72 (6). pp. 3752 - 3765. ISSN: 0090-6778 Open Access Link

Journal article

Gong, X., Lei, Y., Zhang, Q., Gan, L., Zhang, X. and Guo, L. (2024) 'Machine-learning-based optical spectrum feature analysis for DoS attack detection in IP over optical networks'. Optics Express, 32 (3). pp. 3793 - 3803. ISSN: 1094-4087 Open Access Link

Journal article
More publications(51)

Brunel University London
Kingston Lane
Uxbridge
Middlesex UB8 3PH

Tel: +44 (0)1895 274000

Fax: +44 (0)1895 232806

Security: +44 (0)1895 255786

Directions to the campus

Brunel.ac.uk uses cookies to make our site better for you. By clicking on or navigating this site, you accept our use of cookies in accordance with our cookie policy.

Close this message