Dr Sophie HAUTPHENNE

Senior Lecturer / ARC DECRA

School of Mathematics and Statistics

  • Room: 146
  • Building: Peter Hall Building
  • Campus: Parkville

Research Groups

Recent Publications

  • S Dendievel, S. Hautphenne, G. Latouche, P. Taylor. The time-dependent expected reward and deviation matrix of a finite QBD process. Linear Algebra and Its Applications, 570, 61-92, 2019. doi: 10.1016/j.laa.2019.02.002.

  • S. Hautphenne, Melanie Massaro, Katharine Turner. Fitting Markovian binary trees using global and individual demographic data.. Theoretical population biology, 2019. doi: 10.1016/j.tpb.2019.04.007.

  • P. Braunsteins, G. Decrouez, S. Hautphenne. A pathwise approach to the extinction of branching processes with countably many types. Stochastic Processes and their Applications, 713-739, 2018. doi: 10.1016/j.spa.2018.03.013.

  • S. Hautphenne, Melanie Massaro, P. Taylor. How old is this bird? The age distribution under some phase sampling schemes. Journal of Mathematical Biology, 75, 1319-1347, 2017. doi: 10.1007/s00285-017-1121-x.

  • P. Braunsteins, S. Hautphenne, P. Taylor. The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues. Queueing Systems, 83, 157-179, 2016. doi: 10.1007/s11134-016-9480-3.

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Past Postgraduate Supervision

Name Thesis title
Peter BRAUNSTEINS "Extinction in branching processes with countably many types"

Current MSc Students

Name Project title
Qin XU
Wenfei SHI

Recent Grant History

Year(s) Source Type Title
2015 - 2020 ARC ARC DECRA New computational approaches for branching processes in population biology

Responsibilities

  • ARC Discovery Coordinator

Committees

  • Postgraduate Programs Committee