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 СʪÃÃÊÓƵ, London. Before she joined СʪÃÃÊÓƵ 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
Qualifications
- B.Eng (Electronic and Information Engineering), , China (1998)
- M.Eng (Electronic and Information Engineering), , China (2000)
- Ph.D (Information Engineering), , Singapore (2004)
Responsibility
Departmental Management Role
Director of Teaching and Learning (UG)
Membership of research centres at Brunel
Awards
- Best paper award on Cryptography and security from Journal of The British Blockchain Association in 2022
- Zeng, H. Liu, L. Xue, Y. Zhou and L. Gan “Robust anomaly sound detection framework for machine condition monitoring”, Gold medal of "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) ''. IEEE/ACM Transactions on Audio Speech and Language Processing, 32. pp. 4328 - 4341. ISSN: 2329-9290
Li, Y., Wu, R., Gan, L. and He, P. (2024) ''. IEEE Access, 12. pp. 74087 - 74095.
Hu, A., Gan, L., Guo, L., Yan, H. and Hu, J. (2024) ''. Optics Express, 32 (4). pp. 6748 - 6748.
Song, L., Shi, D., Gan, L. and Gao, X. (2024) ''. IEEE Transactions on Communications, 72 (6). pp. 3752 - 3765. ISSN: 0090-6778
Gong, X., Lei, Y., Zhang, Q., Gan, L., Zhang, X. and Guo, L. (2024) ''. Optics Express, 32 (3). pp. 3793 - 3803. ISSN: 1094-4087