If you made any changes in Pure these will be visible here soon.

Personal profile


Dr Yongrui (Louie) Qin is a Senior Lecturer in School of Computing and EngineeringUniversity of Huddersfield, United Kingdom. He obtained a PhD degree from University of Adelaide, Australia, and both Masters degree and Bachelor degree from Fudan University, China, all in Computer Science. During PhD study, he spent six months as a Research Intern at DERI, Galway, Ireland (now The Insight Centre for Data Analytics). His main research interests include Internet of Things, Web of Things, Semantic Web, data management, data mining and mobile computing. He has published more than 60 refereed technical papers, including publications in prestigious journals, such as ACM Computing Surveys, IEEE Trans. on Parallel Distributed Systems, ACM Trans. on Internet Technology, World Wide Web Journal, Journal of Network and Computer Applications, and IEEE Internet Computing, as well as reputable international conferences, such as SIGIR, EDBT, CIKM, CAiSE, WISE, ICWS, SSDBM and DASFAA.

Research Expertise and Interests

  • Internet of Things
  • Web of Things
  • Data management
  • Information Retrieval
  • Data mining
  • Cloud computing
  • Distributed computing
  • Mobile computing
  • E-Learning and Online Learning
  • Natural Language Processing
  • Cognitive Computing

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Yongrui Qin

Fingerprint Dive into the research topics where Louie Qin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

Research Output

Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents

Alsboui, T., Qin, L., Hill, R. & Al-Aqrabi, H., 27 Mar 2020, In : Computing (Vienna/New York). 19 p.

Research output: Contribution to journalArticle

  • 3D Object Detection Algorithm for Panoramic Images with Multi-Scale Convolutional Neural Network

    Wang, D., He, Y., Liu, Y., Li, D., Wu, S., Qin, Y. & Xu, Z., 26 Nov 2019, In : IEEE Access. 7, p. 171461-171470 10 p., 8913499.

    Research output: Contribution to journalArticle

    Open Access
  • A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence

    Zhu, X., Zhang, J., Hu, Z., Li, H., Chang, L., Zhu, Y., Lin, J. C-W. & Qin, Y., 12 Jan 2019, Advanced Data Mining and Applications : 14th International Conference, ADMA 2018, Nanjing, China, November 16-18, 2018 Proceedings. Gan, G., Li, B., Li, X. & Wang, S. (eds.). Cham: Springer Verlag, p. 95-104 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11323 LNAI).

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

  • Data Prediction Compensation for Dynamic Target Tracking System Based on BP Neural Network

    Xu, S., Qin, Y., Zhou, H., Sun, B. & Wang, J., 24 Jan 2019, Proceedings 2018 Chinese Automation Congress: CAC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1034-1039 6 p. 8623495

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

  • Enabling Distributed Intelligence in the Internet of Things Using the IOTA Tangle Architecture

    Alsboui, T., Qin, Y. & Hill, G., 4 May 2019, Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019. Ramachandran, M., Walters, R., Wills, G., Méndez Muñoz, V. & Chang, V. (eds.). SciTePress, Vol. 1. p. 392-398 7 p.

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

    Open Access
  • Activities

    • 1 Oral presentation

    Toward Unified Cloud Service Discovery for Enhanced Service Identification

    Yongrui Qin (Speaker), Abdullah Alfazi (Speaker), Quan Z. Sheng (Speaker), Ali Babar (Speaker), Wenjie Ruan (Speaker)
    19 Oct 2017

    Activity: Talk or presentation typesOral presentation