Dr Weibo Liu
Lecturer in Computer Science
Wilfred Brown 114
- Email: weibo.liu2@brunel.ac.uk
- Tel: +44 (0)1895 266090
Summary
Dr. Weibo Liu received the B.Eng. degree in Electrical Engineering from the Department of Electrical Engineering \& Electronics, University of Liverpool, Liverpool, U.K, in 2015, and the Ph.D. degree in Artificial Intelligence in 2020 from the Department of Computer Science, Brunel University of London, Uxbridge, U.K. He is a Member of the Institute of Electrical and Electronic Engineers (IEEE) and a Fellow of the Higher Education Academy (FHEA). He is currently a Lecturer in the Department of Computer Science, Brunel University of London, Uxbridge, U.K. His research interests include Intelligent Data Analysis, Evolutionary Computation, Machine Learning, Trustworthy AI, Transfer Learning and Deep Learning with applications to Healthcare Data Analytics, Renewable Energy and Industrial Big Data.
Dr. Liu serves as an Associate Editor for IEEE Transactions on Instrumentation and Measurement, the Journal of Ambient Intelligence and Humanized Computing, the Journal of Cognitive Computation, and an Editorial Board Member for the Journal of Scientific Reports. He also serves for the Guest Editor for IET Control Theory & Applications. He has been listed as World's Top 2% Scientists by researchers from Stanford University. He is a very active reviewer for many international journals and conferences, and a member of program committee for many international conferences.
Responsibility
Program Committees I am / have been on the program committee for the 25th International Conference on Automation and Computing (ICAC) 2017.
Newest selected publications
Wang, C., Wang, Z., Liu, Q., Dong, H., Liu, W. and Liu, X. (2025) 'A comprehensive survey on domain adaptation for intelligent fault diagnosis'. Knowledge Based Systems, 327. pp. 1 - 16. ISSN: 0950-7051 Open Access Link
Song, B., Zhao, S., Wang, Z., Liu, W. and Liu, X. (2025) 'DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles'. Knowledge Based Systems, 323. pp. 1 - 13. ISSN: 0950-7051 Open Access Link
Wang, Q., Zou, L. and Liu, W. (2025) '2D-Variation convolution-based generative adversarial network for unsupervised time series anomaly detection: a MSTL enhanced data preprocessing approach'. Applied Intelligence, 55 (7). pp. 1 - 16. ISSN: 0924-669X
Ma, G., Wang, Z., Yang, Z., Chen, R., Liu, W., Zhang, Y. and et al. (2025) 'A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces'. IEEE Transactions on Industrial Informatics, 21 (7). pp. 5150 - 5159. ISSN: 1551-3203 Open Access Link
Zhou, T., Wang, Z., Liu, X., Liu, W. and Zhu, S. (2025) 'Learning deep feature representations for multi-modal MR brain tumor segmentation'. Neurocomputing, 638. pp. 1 - 12. ISSN: 0925-2312