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Dr Chao Huang

Associate Professor

Research interests

  • Reinforcement Learning
  • Formal Methods
  • Design Automation for Cyber Physical Systems

More research

Accepting applications from PhD students.

Connect with Chao

Email: [email protected]

Tel: +44 23 8059 5124

ORCID

Profile photo 
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Research interests (for researchers only) 
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Contact details 
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ORCID ID 
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Accepting PhD applicants (for researchers only) 
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About

Dr. Chao Huang is an Associate Professor in the School of Electronics and Computer Science at the University of Southampton, UK from Feb. 2024. He is also an Adjunct Assistant Professor (Honorary Position) in the Department of Electrical and Computer Engineering at Northwestern University, US. Dr. Chao Huang's research interests include the formal verification and design of machine learning algorithms (in particular reinforcement learning) with respect to important properties, e.g. safety, security, robustness, etc., under uncertain environments. He is also interested in providing reliable machine-learning solutions to various applications in robotics, transportation, etc.

Prior to Southamton, Dr. Chao Huang was a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Liverpool, UK. Before joining Liverpool, he worked with Prof. Qi Zhu as a postdoc fellow, in the Department of Electrical and Computer Engineering at Northwestern University. Prior to Northwestern, he received my B.S. and Ph.D. in Mathematics and Applied Mathematics and Computer Science from Nanjing University, China respectively.

 

Personal page: https://chaohuang2018.github.io/

You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.

Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

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