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Personal profile

Biography

Tianhua Chen received the Ph.D. degree in Computational Intelligence from Aberystwyth University, U.K., in 2017. He is currently a Lecturer at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. Prior to this, Tianhua held an indefinite post of Research Fellow in the same department, where he has been working across a number of projects as a co-investigator applying Artificial Intelligence. 

With firsthand experience working with NHS and medical stakeholders in areas such as diabetes and ADHD diagnosis, Tianhua's main research interests lies in the realm of computational intelligence, data mining and analysis with application to healthcare intelligence. Tianhua is a regular reviewer for highly prestigous journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

Research Expertise and Interests

Areas of research interest:

  • Machine Learning
  • Computational Intelligence
  • Intelligent Systems
  • Fuzzy Systems

Services:

  • Special Session Chair,  the 12th International Conference on Intelligent Robotics and Applications (ICIRA 2019)
  • Programme Committee Member, the 28th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019)
  • Programme Committee Member, the 19th Annual UK Workshop on Computational Intelligence (UKCI-2019)
  • Programme Committee Member, the 16th IEEE International Conference on e-Business Engineering (ICEBE 2019)
  • Programme Committee Member, 16th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2019)
  • Programme Committee Member, the 27th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018)
  • Session Chair, the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018)
  • Programme Committee Member, the 15th IEEE International Conference on e-Business Engineering (ICEBE 2018)
  • Programme Committee Member, the 2018 IEEE International Symposium on Smart City and Informatization (iSCI 2018)

Keywords

  • Machine Learning
  • Computational Intelligence
  • Intelligent Systems
  • Deep Learning
  • Fuzzy Systems

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2018

  • 9 Conference contribution
  • 4 Article

Dominant-set-based consensus for fuzzy c-means clustering ensemble

Su, P., Chen, T., Xu, W., Shao, X., Wang, H. & Zhao, Y., 12 Nov 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, Vol. 1. p. 85-90 6 p. 18232967

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments

Effective Diagnosis of Diabetes with a Decision Tree-initialised Neuro-Fuzzy Approach

Chen, T., Shang, C., Su, P., Antoniou, G. & Shen, Q., 12 Aug 2018, Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer, Cham, p. 227-239 13 p. (Advances in Intelligent Systems and Computing).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical problems
Decision trees
Fuzzy rules
Hazards
Health

Fuzzy Clustering-based Anomaly Detection for Distributed Multi-view Data

Wang, H., Chen, T., Wang, H., Shao, X. & Su, P., 15 Oct 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018). IEEE, 7 p. 18166286

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy clustering
Experiments
10 Citations (Scopus)

Induction of accurate and interpretable fuzzy rules from preliminary crisp representation

Chen, T., Shang, C., Su, P. & Shen, Q., 15 Apr 2018, In : Knowledge-Based Systems. 146, p. 152-166 15 p.

Research output: Contribution to journalArticle

Open Access
File
Fuzzy rules
Set theory
Transparency
Knowledge based systems
Labels

Weighted Fuzzy Rules Optimised by Particle Swarm for Network Intrusion Detection

Chen, T., Su, P., Shang, C. & Shen, Q., 15 Oct 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018). IEEE, 7 p. 18166140

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy rules
Intrusion detection
Fuzzy sets
Particle swarm optimization (PSO)
Learning systems

Activities 2018 2019

  • 2 Oral presentation
  • 1 Organising a conference, workshop, ...
  • 1 Editorial work
  • 1 International Collaboration

Artificial Intelligence in Medicine (Journal)

Tianhua Chen (Editor), Grigoris Antoniou (Editor)
2019 → …

Activity: Publication peer-review and editorial work typesEditorial work

Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-Fuzzy Approach

Tianhua Chen (Speaker), Grigoris Antoniou (Contributor to Paper or Presentation), Changjing Shang (Contributor to Paper or Presentation), Pan Su (Contributor to Paper or Presentation), Qiang Shen (Contributor to Paper or Presentation)
5 Sep 2018

Activity: Talk or presentation typesOral presentation

Zhejiang University

Tianhua Chen (Visiting researcher)
16 May 201825 Jun 2018

Activity: Visiting an external institution typesInternational Collaboration

Weighted Fuzzy Rules Optimised by Particle Swarm for Network Intrusion Detection

Tianhua Chen (Speaker), Pan Su (Speaker), Changjing Shang (Speaker), Qiang Shen (Speaker)
8 Jul 2018

Activity: Talk or presentation typesOral presentation

18th Annual UK Workshop on Computational Intelligence

Tianhua Chen (Chair)
5 Sep 2018

Activity: Participating in or organising an event typesOrganising a conference, workshop, ...