Associate Professor Matthew Luckie

Associate Professor (Computer Science)

Qualifications: BMS(Hons) PhD Waikato

Contact Details

Room: G.1.30
Phone: +64 7 838 4299
Extension: 4299

Research Interests

  • Collecting and analysing router and AS-level Internet topology data, especially (1) economic relationships between ASes, (2) inferring the router-level topology, and (3) development of distributable software for collecting IP-level data.
  • Internet topology, routing, and performance in IPv6, particulary the interactions with middleboxes and future evolution.
  • Troubleshooting of IP networks, particulary TCP performance issues.

Teaching Commitments

Recent Publications

  • Sanger, R., Luckie, M., & Nelson, R. (2020). Towards transforming OpenFlow rulesets to fit fixed-function pipelines. In Proc 2020 Symposium on SDN Research (SOSR 2020) (pp. 123-134). San Jose, CA: ACM. doi:10.1145/3373360.3380844

  • Marder, A., Luckie, M., Huffaker, B., & Claffy, K. C. (2020). vrfinder: Finding outbound addresses in traceroute. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(2). doi:10.1145/3392158

  • Müller, L., Luckie, M., Huffaker, B., Claffy, K., & Barcellos, M. (2019). Challenges in inferring spoofed traffic at IXPs. In Proc 15th International Conference on Emerging Networking Experiments And Technologies (CoNEXT '19) (pp. 96-109). Orlando, Florida: ACM Press. doi:10.1145/3359989.3365422

  • Luckie, M., Huffaker, B., & claffy, K. (2019). Learning regexes to extract router names from hostnames. In Proc ACM 2019 Internet Measurement Conference (IMC'19) (pp. 337-350). Amsterdam, Netherlands: ACM Press. doi:10.1145/3355369.3355589 Open Access version:

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