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Yakub Sebastian

PhD

 https://orcid.org/0000-0003-0499-6565

Registered to supervise postgraduate research

20062020

Research output per year

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Personal profile

Research interests

Dr Yakub Sebastian's main research interest is in data science, information retrieval, text mining, and network theory. He is an active advocate of the field Literature-Based Discovery, a specific branch of information retrieval whose goal is to improve computational approaches to hypothesis generation and novel knowledge discovery from multi-modal data sources. Aside from these, he shows interest in scientometrics and science mapping. Dr Sebastian was awarded Doctor of Philosophy in Computer Science by Monash University and is currently a Guest Associate Editor for journal Frontiers in Research Metrics and Analytics (Text Mining and Literature-Based Discovery section).

External positions

Adjunct Research Fellow, Swinburne University of Technology Sarawak Campus

23 Mar 2020 → 22 Mar 2022

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Research Output

  • 7 Conference Paper published in Proceedings
  • 6 Article
  • 2 Meeting Abstract

A graph-theoretic approach for the detection of phishing webpages

Tan, C. L., Chiew, K. L., Yong, K. S. C., Sze, S. N., Abdullah, J. & Sebastian, Y., 8 Aug 2020, In : Computers and Security. 95, p. 1-14 14 p., 101793.

Research output: Contribution to journal › Article

    • Design of IoT monitoring architecture for smart organic farming in Sarawak state of Malaysian Borneo

    Jo, R. S., Raman, V., Lu, M., Sebastian, Y., Cameron, S. J., Ten, J. Y. H., Chong, T. K. S., Yap, F. L., Chiew, V., Yeo, D., Koay, R. K. M., Bong, B. S. C., Chew, K. T., Lim, V. Y. C. & Then, P. H., 2019, SDPS 2019 Proceedings - 24th International Conference: Changing the World via Innovative Design and Applications of Automation and Artificial Intelligence. Jololian, L., Guldal, S. & Lipscomb, M. M. (eds.). p. 120-124 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings

    Open Access

    • Anomaly detection from diabetes similarity graphs using community detection and Bayesian techniques

    Sebastian, Y., Chew, J. T., Tiong, X. T., Raman, V., Fong, A. Y. Y. & Then, P. H. H., 5 Jan 2018, Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018. Association for Computing Machinery (ACM), 9 p. 32. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings

    Open Access

    • GLADIATER: An algorithm to support anomaly detection from a longitudinal cardiovascular and diabetes dataset

    Chew, J. T., Sebastian, Y., Raman, V., Tiong, X. T., Fong, A. Y. Y. & Then, P. H. H., Oct 2018, In : Journal of the American College of Cardiology. 72, 16 (Supplement), p. C244-C245 2 p., GW29-e0830.

    Research output: Contribution to journal › Meeting Abstract

    Open Access

    • Advances in Diabetes Analytics from Clinical and Machine Learning Perspectives

    Sebastian, Y., Tiong, X. T., Raman, V., Fong, A. Y. Y. & Then, P. H. H., Oct 2017, In : International Journal of Design, Analysis and Tools for Integrated Circuits and Systems. 6, 1, p. 32-37 6 p.

    Research output: Contribution to journal › Article