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Last updated 17th April 2024


Tianhua Chen received the Ph.D. degree in Computational Intelligence from Aberystwyth University, Aberystwyth, U.K., in 2017. He is currently a Reader (Associate Professor) 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 organised a number of special issues in journals such as Artificial Intelligence in Medicine and Frontiers in Neuroscience. With research supported and funded by Innovate UK, Research England, EPSRC and industrial partners, Tianhua is very keen translating AI techniques into real-world applications particularly the health and care domain.

Tianhua is an Editorial Board Member of:

Artificial Intelligence in Medicine (Elsevier, IF=7.5, Q1)

BMC Medical Informatics and Decision Making (Springer, IF=3.5, Q1). 

PLOS One (IF=3.7, Q1)


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


  • (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


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure

Research Expertise and Interests

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Engineering Applications of Artificial Intelligence
  • Business Analytics
  • Computational Intelligence
  • Applied Artificial Intelligence
  • AI for Health and Medicine


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