Research Output per year
Personal profile
Biography
Tianhua Chen is a Research Fellow in data analytics at the Department of Computer Science, School of Computing and Engineering. Tianhua joined University of Huddersfield in 2017, upon the successful completion of his Ph.D. in Computer Science from Aberystwyth University, UK. Prior to that, he received his M.Sc. degree in Artificial Intelligence and the B.Sc. degree in Software Engineering in 2013 and 2012, respectively. Tianhua is also a Cisco Certified Network Professional (CCNP) in Routing and Switching.
With his PhD focused on learning accurate and interpretable fuzzy rule-based models with applications to real-world problems, Tianhua’s research interest lies in developing intelligent systems for industrial and medical problems. He has had publications in highly reputable venues, such as IEEE Transactions on Fuzzy Systems.
Research Expertise and Interests
Areas of research interest:
- Machine Learning
- Computational Intelligence
- Intelligent Systems
- Fuzzy Systems
Journal/Conference reviewers:
• IEEE Transactions on Fuzzy Systems
• IEEE Transactions on Cybernetics
• Fuzzy Sets and Systems
• Frontiers In Neurorobotics
• Knowledge and Information Systems
• Soft Computing
• IEEE ACCESS
• Expert Systems
• Human-centric Computing and Information Sciences
• KSII Transactions on Internet and Information Systems
• The 27th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018)
• The 18th Annual UK Workshop on Computational Intelligence (UKCI-2018)
• The 15th IEEE International Conference on e-Business Engineering (ICEBE 2018)
• The 2018 IEEE International Symposium on Smart City and Informatization (iSCI 2018)
Services:
• 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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Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2014 2018
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. 18232967Research output: Chapter in Book/Report/Conference proceeding › Conference 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 proceeding › Conference 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. 18166286Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Fuzzy clustering
Experiments
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 journal › Article
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. 18166140Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Fuzzy rules
Intrusion detection
Fuzzy sets
Particle swarm optimization (PSO)
Learning systems
Activities 2018 2018
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 types › Oral presentation
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 types › Oral presentation
18th Annual UK Workshop on Computational Intelligence
Tianhua Chen (Chair)5 Sep 2018
Activity: Participating in or organising an event types › Organising a conference, workshop, ...