Prof Xiaowei Huang

Department of Computer Science,
University of Liverpool,
Ashton Street,
Liverpool, L69 3BX
United Kingdom

Office: Ashton Building, Room 222
Phone: (+44) 1517954282
Mobile: (+44) 7831378101
Email: xiaowei.huang at liverpool.ac.uk, xiaowei.huang at live.com



I am Professor of Computer Science at the University of Liverpool. Prior to Liverpool, I worked at the University of Oxford, the University of New South Wales, and the Chinese Academy of Sciences.

Research Interests:

The research my group is currently conducting spans over machine learning, formal methods, and robotics. If you are interested in these areas and want to collaborate with us, please feel free to get in touch. Most of my research publications can be found through my Google Scholar profile.

Specifically, we are interested in analysing autonomous systems -- systems that can learn, adapt, and make decisions by themselves -- in terms of their properties (e.g., safety, robustness, trustworthiness, security, etc), to understand if they are applicable to safety critical applications, and constructing autonomous systems with these properties satisfied. This may include (but not limited to)

Currently, the application areas we are addressing include self-driving cars, underwater vehicles, and other robotics applications. We are also interested in various healthcare applications where safety and interpretability are important. The research my group is doing is summarised (incompletely) in the slides as well as in the "Research" tab of this webpage.

I am co-chairing AISafety workshops at IJCAI, and SafeAI workshops at AAAI, since 2019, and am co-organising Turing interest group on Neuro-Symbolic AI. I am a senior member of IEEE.

I am directing the Autonomous Cyber Physical Systems Laboratory, which is now located at the new Digital Innovation Facility (DIF) Building.

The research has been funded by Dstl, EPSRC, European Commission, Innovate UK, etc. I have been the PI (or Liverpool PI) for projects valued more than £2M, and co-I for more than £15M. Some brief information can be found here.

I am on the role of school research lead of the EEECS school.

I led a team won the UK-US privacy-enhancing technologies prize challenges at the first stage and a special recognition prize on "Novel Modelling/Design" at the second stage.

Book "Machine Learning Safety" has been published.














The following are a few video demos of our research:

For Prospective Students:

I am always looking for PhD students with strong motivation to actively participate in research. There are a few possible ways of receiving a scholarship, for example If you have other means of supporting your study, you are also welcomed to get in touch.

New Open Positions:

Workshop Organisation

Recent News

Teaching for this semester