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Dr Harris Lin

Research Fellow

Qualifications: BE(Hons) Auckland PhD ISU

Contact Details

Email: hlin@waikato.ac.nz
Room: G.1.29
Phone: +64 7 837 9433
Extension: 9433

About Harris

Harris completed his Ph.D. at Iowa State University where he focused on machine learning for distributed and semantically rich data also known as Linked Open Data. He is currently a Research Fellow with the Computer Science Department at the University of Waikato. He is also a member of the cyber security lab known as Cybersecurity Researchers of Waikato (CROW).

Research Interests

Cyber security, machine learning, data mining, semantic web, linked open data, phylogenetics.

Recent Publications

  • Moon, J., Lin, H. T., & Eulenstein, O. (2016). Consensus properties and their large-scale applications for the gene duplication problem. Journal of Bioinformatics and Computational Biology, 14(03), 1642005. doi:10.1142/S0219720016420051

  • Lin, H. T., Moon, J., & Eulenstein, O. (2015). Consensus properties of the gene duplication problem for enhanced phylogenetic inference. In E. Saeed, & N. Haspel (Eds.), Proc 7th International Conference on Bioinformatics and Computational Biology (pp. 131-136). Honolulu, Hawaii.

  • Kinkel, N., Lin, H. T., & Strasburg, C. (2015). Advances in semantically augmented flow data for dynamic impact assessment, response selection, and alert prioritization. In FloCon 2015. Portland, Oregon, USA.

  • Lin, H. T., Bui, N., & Honavar, V. (2015). Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies. In 2015 IEEE International Conference on Big Data (pp. 1807-1813). Santa Clara, CA: IEEE. doi:10.1109/BigData.2015.7363953

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