E. G. Altmann's list of supervised theses

Group photo from 2021/2022

Student and Theses supervised as main supervisor:

Ph.D.

[vii] Alexey Vlaskin, (Ongoing since 2021)
School of Mathematics and Statistics, The University of Sydney, Australia
[vi] Xuanchi (Cathy) Liu, (Ongoing since 2020)
School of Mathematics and Statistics, The University of Sydney, Australia
[v] Lachlan Burton, 2023
Transient Chaos in Dissipative Chaotic Scattering
School of Mathematics and Statistics, The University of Sydney, Australia [LINK]
[iv] Jorge C. Leitao, 2016
Importance Sampling of Rare Events in Chaotic Systems,
Physics Institute, Faculty of Mathematics and Natural Sciences, TU Dresden, Germany [LINK]
[iii] Moritz Schoenwetter, 2016
Fractal Dimensions in Classical and Quantum Mechanical Open Chaotic Systems,
Physics Institute, Faculty of Mathematics and Natural Sciences, TU Dresden, Germany [LINK]
[ii] Jose M. Miotto, 2016
Modeling and predicting time series of social activities with fat-tailed distributions,
Physics Institute, Faculty of Mathematics and Natural Sciences, TU Dresden, Germany [LINK]
[i] Martin Gerlach, 2016
Universality and variability in the statistics of data with fat-tailed distributions: the case of word frequencies in natural languages,
Physics Institute, Faculty of Mathematics and Natural Sciences, TU Dresden, Germany [LINK]

Master/Diplom/Honours

[ix] Allan Wu, Masters in Mathematical Science (Ongoing since 2022)
School of Mathematics and Statistics, The University of Sydney, Australia
[x] Nicholas Newman, Honours in Pure Mathematics (ongoing since 2023)
School of Mathematics and Statistics, The University of Sydney, Australia
[ix] Christine Pei, Honours in Data Science (2023)
Quantifying Polarisation in Networks with Random Graph Models
School of Mathematics and Statistics, The University of Sydney, Australia
[viii] Benjamin (Ben) Shade, Honours in Data Science (2022)
Quantifying the dissimilarity between texts
School of Mathematics and Statistics, The University of Sydney, Australia
[vii] Chris Hyland, Honours in Statistics (2020)
Multilayer Topic Modelling: A statistical framework ot unify Heetrogenous Data
School of Mathematics and Statistics, The University of Sydney, Australia
[vii] Janice Feng, Honours in Applied Mathematics (2020)
#Dynamics: Investigating and modelling the properties of Twitter Hashtags
School of Mathematics and Statistics, The University of Sydney, Australia
[vii] Xuanchi (Cathy) Liu, Honours in Statistics (2020)
Effect of stop words in topic modeling
School of Mathematics and Statistics, The University of Sydney, Australia
[vi] Yuanming (Alex) Tao, Honours in Applied Mathematics (2019)
Topic Modelling as a Community-Detection Problem?
School of Mathematics and Statistics, The University of Sydney, Australia
[v] Satoshi Komuro, Honours in Applied Mathematics (2019)
Are Scale-free Networks Rare or Ubiquitous?
School of Mathematics and Statistics, The University of Sydney, Australia
[iv] Sophie Wharrie, Honours in Applied Mathematics, co-supervised with Lamiae Azizi (2018)
Micro | Meso |Macro: Communities in Complex Networks,
School of Mathematics and Statistics, The University of Sydney, Australia
[iii] Nick Miltchinov, Honours in Applied Mathematics, co-supervised with Lamiae Azizi (2018)
Cooperation on Scale-Free Networks with a Driving, Link-Swapping Mechanism,
School of Mathematics and Statistics, The University of Sydney, Australia
[ii] Rico Fischer, Diplomarbeit (2015)
Sampling complex networks,
Physics Institute, Faculty of Mathematics and Natural Sciences, TU Dresden, Germany
[i] Jorge C. Leitao, co-supervised with Joao V. P. Lopes, Master (2012)
"Stochastic perturbations in chaotic billiards",
Faculdade de Ciencias, Universidade do Porto, Portugal [PDF]