Skip to Content
Skip to main content

Professor Xiaohui Liu
Professor - Computing


Xiaohui Liu joined Brunel as Professor of Computing in 2000. Prior to that, he was a member of academic staff in computer science at Birkbeck, University of London (1989-2000) and research staff in engineering at Durham and Heriot-Watt Universities (1987-1989). Xiaohui was an honorary Pascal professor in Leiden University (2004), visiting scientist at Harvard Medical School (2005) and visiting professor at the Chinese Academy of Sciences (2010).

Professor Liu conducts interdisciplinary research in artificial intelligence, data science and optimization, with application in diverse areas including biomedicine and engineering. He has published more than 300 papers in refereed journals such as Artificial Intelligence, Genome Biology, Information Fusion, and over 100 IEEE/ACM Transactions.  Xiaohui founded the International Symposium series on Intelligent Data Analysis (see IDA-95 & IDA-97), advised UK Research Councils on data analytics, genomics and security as well as the Royal Statistical Society/the Institute and Faculty of Actuaries on statistical education at UK schools in light of big data.  

Professor Liu is the recipient of Computer Science in United Kingdom Leader Award (2023-24), Electronics and Electrical Engineering in United Kingdom Leader Award (2023-24) as well as the Daniel Berg Award (2023). Since 2014, he has been named as a Highly Cited Researcher for 10 consecutive years in Computer ScienceEngineering, or Cross-Field (Clarivate/Web of Science).


  • Chair of Industry Advisory Board, Department of Computer Science (2016-18)
  • Doctoral Programme Director, Department of Computer Science (2008-13) 
  • Deputy Head of School (Research), School of Information Systems, Computing and Mathematics (2006-14)
  • Research Director, Department of Computer Science (2006-12)
  • Director, Centre for Intelligent Data Analysis (2000-14)

Newest selected publications

Chen, Z., Yang, R., Huang, M., Wang, Z. and Liu, X. (2024) 'Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification'. IEEE Transactions on Emerging Topics in Computational Intelligence, 0 (early access). pp. 1 - 15.

Journal article

Shen, Y., Wang, Z., Dong, H., Liu, H. and Liu, X. (2024) 'Joint State and Unknown Input Estimation for a Class of Artificial Neural Networks With Sensor Resolution: An Encoding–Decoding Mechanism'. IEEE Transactions on Neural Networks and Learning Systems, 0 (early access). pp. 1 - 11. ISSN: 2162-237X

Journal article

Fang, J., Wang, Z., Liu, W., Chen, L. and Liu, X. (2023) 'A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing'. Engineering Applications of Artificial Intelligence, 131 (May 2024). pp. 107700 - 107700. ISSN: 0952-1976

Journal article

Wei, M., Yang, R., Huang, M., Ni, J., Wang, Z. and Liu, X. (2023) 'Sub-Band Cascaded CSP-based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification'. IEEE Transactions on Cognitive and Developmental Systems, 0 (early access). pp. 1 - 14. ISSN: 2379-8920 Open Access Link

Journal article

Zhu, K., Wang, Z., Wei, G. and Liu, X. (2023) 'Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach'. IEEE Transactions on Neural Networks and Learning Systems, 34 (11). pp. 833 - 8348. ISSN: 2162-237X

Journal article
More publications(237)