• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 919 Citations
  • 15 h-Index
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Personal profile


Yaxin Bi is a Reader in School of Computing and Mathematics, a core member of the Computer Science Research Institute at Ulster University. His main research interests include multiple supervised and unsupervised machine learning-based classification systems and ensemble methods in conjunction with the Dempter-Shafer (DS) theory of evidence and Rough Set theory. Yaxin has developed a range of big data analytics and decision making with uncertainty methods to address real world problems, including satellite data exploitation with an emphasis on anomaly/change detection for hazardous analysis and risk resilience; sentiment analysis for opinion mining and cyberbullying detection; and sensor fusion for activity/event recognition in smart environments.Yaxin has been involved in a number of European Frameworks and Space Agency funded projects along with industry cooperation in the past decades and has more than 130 peer-reviewed publications in international journals and conferences. He has served for a number of international conferences as general chair, program co-chair and program committee member. Furthermore Yaxin is an associate editor for International Journal of Artificial Intelligence Review as well as a steering committee member for the series of International Conference on Knowledge Science, Engineering and management (KSEM) and Science and Information (SAI) Conference.

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  • 38 Similar Profiles
Classifiers Engineering & Materials Science
Data fusion Engineering & Materials Science
anomaly Earth & Environmental Sciences
earthquake Earth & Environmental Sciences
Rough set theory Engineering & Materials Science
Intelligent systems Engineering & Materials Science
Information retrieval Engineering & Materials Science
Intrusion detection Engineering & Materials Science

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Research Output 1998 2019

  • 919 Citations
  • 15 h-Index
  • 60 Conference contribution
  • 44 Article
  • 33 Chapter
  • 5 Anthology

Aggregated Topic Models for Increasing Social Media Topic Coherence

Blair, S., Bi, Y. & Mulvenna, M., 4 Feb 2019, (Accepted/In press) In : Applied Intelligence. 30 p.

Research output: Contribution to journalArticle


A tool for Swarm satellite data analysis and anomaly detection

Christodoulou, V., Bi, Y. & Wilkie, FG., 25 Mar 2019, (Accepted/In press) In : PLoS ONE. p. 1 17 p.

Research output: Contribution to journalArticle

Open Access
remote sensing
satellite data
data analysis
Open Access
Data mining
Learning systems
Supervised learning
Artificial intelligence
Open Access
magnetic field
6 Citations (Scopus)

A Two-stage Flow-based Intrusion Detection Model ForNext-generation Networks

User, U. M. F., Sher, M. & Bi, Y., 12 Jan 2018, In : PLoS ONE. 13, 1, p. 1-20

Research output: Contribution to journalArticle

Open Access
Next generation networks
Intrusion detection
Self organizing maps
Support vector machines