Dr Harris Lin
Qualifications: BE(Hons) Auckland PhD ISU
Phone: +64 7 837 9433
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).
Cyber security, machine learning, data mining, semantic web, linked open data, phylogenetics.
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., 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
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., 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.
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