Associate Professor Matthew Luckie

Associate Professor (Computer Science)

Qualifications: BMS(Hons) PhD Waikato

Contact Details

Room: G.1.28A
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

  • Zhang, Z., Marder, A., Mok, R., Huffaker, B., Luckie, M., Claffy, K. C., & Schulman, A. (2021). Inferring regional access network topologies. In Proc 21st ACM Internet Measurement Conference (IMC '21) (pp. 720-738). New York, NY, USA: ACM. doi:10.1145/3487552.3487812

  • Luckie, M., Huffaker, B., Marder, A., Bischof, Z., Fletcher, M., & Claffy, K. (2021). Learning to extract geographic information from internet router hostnames. In Proc 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2021) (pp. 440-453). New York, NY, USA: ACM. doi:10.1145/3485983.3494869

  • Zaicu, N. F., Luckie, M., Nelson, R., & Barcellos, M. (2021). Helix: Traffic engineering for multi-controller SDN. In Proc ACM SIGCOMM Symposium on SDN Research (SOSR '21) (pp. 80-87). New York, NY, USA: ACM. doi:10.1145/3482898.3483354

  • Luckie, M., Marder, A., Huffaker, B., & claffy, K. (2021). Learning regexes to extract network names from hostnames. In Proc Asian Internet Engineering Conference (AINTEC '21) (pp. 9-17). New York, NY, USA: ACM. doi:10.1145/3497777.3498545

Find more research publications by Matthew Luckie