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10 Last checked 12 May 2022


Tianhua Chen received the Ph.D. degree in Computational Intelligence from Aberystwyth University, Aberystwyth, U.K., in 2017. He is currently a Senior Lecturer in Artificial Intelligence with the Department of Computer Science, School of Computing and Engineering, University of Huddersfield.

Tianhua's research interests lie in explainable AI (XAI), with a particular interest in neuro-symbolic/fuzzy systems. He has published over 50 peer reviewed papers in leading international journals and conferences, including a lead-authored paper selected as IEEE Transactions on Fuzzy System Publication Spotlight Article by IEEE Computational Intelligence Society.

Tianhua has edited two book volumes and a number of special issues in journals such as Artificial Intelligence in Medicine and Frontiers in Neuroscience. While sitting in the  Editorial Board Member of Artificial Intelligence in Medicine journal, Tianhua is very keen translating AI techniques in the healthcare sector, particularly mental health 

Research Expertise and Interests

Teaching (2021/2020):

Course Leader: MSc Artificial Intelligence 

Module Leader: MSc CMS3503 Machine Learning 

Module Leader: MSc CMI3506 Case Study in Data Analytics and Artificial Intelligence

Module Tutor: BSc CHA2555 Artificial Intelligence

 Areas of research interest:

  • Machine Learning
  • Computational Intelligence
  • Artificial Intelligence in Medicine
  • Fuzzy Systems


  • (Special) Session Chair, BI2021, ICIRA 2019, UKCI 2018
  • Technical Programme Committee Member: IJCAI 2021, MICCAI 2021 2020, FUZZ-IEEE 2021 2020 2019 2018, UKCI 2021 2020 2019 2018, ICEBE 2021 2020 2019 2018, BI 2021, FSDM 2020, MobiSPC 2020 2019, iSCI 2018


Research Degree Supervision

I am interested in the general area of machine learning and its real-world applications. 

Click here to see all postgraduate research opportunities with Dr Tianhua Chen

Research Expertise and Interests

  • Machine Learning
  • Computational Intelligence
  • Artificial Intellegence in Medicine
  • Deep Learning
  • Fuzzy Systems
  • AI for Mental Health


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