Personal webpage

https://people.eng.unimelb.edu.au/llandrew

Biography

Dr Lachlan Andrew is a lecturer in Computer and Information Systems  at the University of Melbourne.  Previously he was an associate professor at Monash University and at Swinburne University of Technology, and before that he was a senior research engineer at Caltech.

Recent publications

  1. Wong, YF.; Andrew, LLH.; Şekercioglu, YA. Hidden semi-markov models for electricity load disaggregation. ACM SIGMETRICS Performance Evaluation Review. Association for Computing Machinery (ACM). 2019, Vol. 46, Issue 3, pp. 18-23. DOI: 10.1145/3308897.3308906
  2. Andrew, LLH.; Pop, DD.; Razzaghi, R.; Dowe, DL. Identifying Flexible Pool Pumps Suitable for Distributed Demand Response Schemes. IOP Conference Series: Earth and Environmental Science. IOP Publishing. 2019, Vol. 322, Issue 1, pp. 012022-012022. DOI: 10.1088/1755-1315/322/1/012022
  3. Lusis, P.; Andrew, LLH.; Liebman, A.; Tack, G.; Chakraborty, S. Reducing the unfairness of coordinated inverter dispatch in pv-rich distribution networks. 2019 IEEE Milan PowerTech. IEEE. 2019. DOI: 10.1109/PTC.2019.8810940
  4. Zander, S.; Andrew, LLH.; Armitage, G. Collaborative and privacy-preserving estimation of IP address space utilisation. Computer Networks. Elsevier BV. 2017, Vol. 119, pp. 56-70. DOI: 10.1016/j.comnet.2017.03.010
  5. Kamitsos, I.; Ha, S.; Andrew, LLH.; Bawa, J.; Butnariu, D.; Kim, H.; Chiang, M. Optimal sleeping: models and experiments for energy-delay tradeoff. International Journal of Systems Science: Operations & Logistics. Informa UK Limited. 2017, Vol. 4, Issue 4, pp. 356-371. DOI: 10.1080/23302674.2016.1193253
  6. Lusis, P.; Khalilpour, KR.; Andrew, L.; Liebman, A. Short-term residential load forecasting: Impact of calendar effects and forecast granularity. Applied Energy. Elsevier BV. 2017, Vol. 205, pp. 654-669. DOI: 10.1016/j.apenergy.2017.07.114
  7. Nair, J.; Andreasson, M.; Andrew, LLH.; Low, SH.; Doyle, JC. On Channel Failures, File Fragmentation Policies, and Heavy-Tailed Completion Times. IEEE/ACM Transactions on Networking. Institute of Electrical and Electronics Engineers (IEEE). 2016, Vol. 24, Issue 1, pp. 529-541. DOI: 10.1109/TNET.2014.2375920
  8. Le, T.; Kovács, P.; Walton, N.; Vu, HL.; Andrew, LLH.; Hoogendoorn, SSP. Decentralized signal control for urban road networks. Transportation Research Part C: Emerging Technologies. Elsevier BV. 2015, Vol. 58, pp. 431-450. DOI: 10.1016/j.trc.2014.11.009
  9. Liu, Z.; Lin, M.; Wierman, A.; Low, S.; Andrew, LLH. Greening geographical load balancing. IEEE/ACM Transactions on Networking. Institute of Electrical and Electronics Engineers (IEEE). 2015, Vol. 23, Issue 2, pp. 657-671. DOI: 10.1109/TNET.2014.2308295
  10. Chen, N.; Agarwal, A.; Wierman, A.; Barman, S.; Andrew, LLH. Online convex optimization using predictions. ACM SIGMETRICS Performance Evaluation Review. Association for Computing Machinery (ACM). 2015, Vol. 43, Issue 1, pp. 191-204. DOI: 10.1145/2796314.2745854
  11. Dinh, TV.; Andrew, LLH.; Nazarathy, Y. Architecture and robustness tradeoffs in speed-scaled queues with application to energy management. International Journal of Systems Science. Informa UK Limited. 2014, Vol. 45, Issue 8, pp. 1728-1739. DOI: 10.1080/00207721.2012.749435
  12. Zander, S.; Andrew, LLH.; Armitage, G. Capturing ghosts: Predicting the used ipv4 space by inferring unobserved addresses. Proceedings of the 2014 Conference on Internet Measurement Conference - IMC '14. ACM Press. 2014, pp. 319-332. DOI: 10.1145/2663716.2663718
  13. Zhang, J.; Andrew, LLH. Efficient generalized engset blocking calculation. IEEE Communications Letters. Institute of Electrical and Electronics Engineers (IEEE). 2014, Vol. 18, Issue 9, pp. 1535-1538. DOI: 10.1109/LCOMM.2014.2344045
  14. Rezaeian, M.; Andrew, LLH. Lossy energy storage to cut power costs. 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE. 2014, pp. 628-633. DOI: 10.1109/INFCOMW.2014.6849304
  15. Jesudasan, RN.; Andrew, LLH. Scheduling long term energy storage. 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE. 2014, pp. 634-639. DOI: 10.1109/INFCOMW.2014.6849305
  16. Andrew, L.; Barman, S.; Liggett, K.; Lin, M.; Meyerson, A.; Roytman, A.; Wierman, A. A tale of two metrics: Simultaneous bounds on competitiveness and regret. ACM SIGMETRICS Performance Evaluation Review. Association for Computing Machinery (ACM). 2013, Vol. 41, Issue 1 SPEC. ISS., pp. 329-330. DOI: 10.1145/2494232.2465533
  17. Andrew, LLH.; Barman, S.; Ligett, K.; Lin, M.; Meyerson, A.; Roytman, A.; Wierman, A. A tale of two metrics: Simultaneous bounds on competitiveness and regret. Journal of Machine Learning Research. 2013, Vol. 30, pp. 741-763.
  18. Lin, M.; Wierman, A.; Andrew, LLH.; Thereska, E. Dynamic right-sizing for power-proportional data centers. IEEE/ACM Transactions on Networking. Institute of Electrical and Electronics Engineers (IEEE). 2013, Vol. 21, Issue 5, pp. 1378-1391. DOI: 10.1109/TNET.2012.2226216
  19. Zander, S.; Andrew, LLH.; Armitage, G.; Huston, G. Estimating IPv4 address space usage with capture-recapture. 38th Annual IEEE Conference on Local Computer Networks - Workshops. IEEE. 2013, pp. 1010-1017. DOI: 10.1109/LCNW.2013.6758545
  20. Dinh, TV.; Andrew, LLH.; Branch, P. Exploiting per user information for supercomputing workload prediction requires care. 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. IEEE. 2013, pp. 2-9. DOI: 10.1109/CCGrid.2013.68

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile