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.
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