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| Winter Term 2018/19, Doctoral School Events | |
| 2018-11-16 | Doctoral School Seminar (Inst. Mathematik, Heinrichstr. 36, 14:00—16:30, KFU) |
| Jordan McMahon (KFU, advisor K. Baur): Higher cluster-tilting for algebras of type A2d⊗A2d via abstract barycentric algebras [show abstract] | |
| Arnur Nigmetov (TU, advisor M. Kerber): Distributed merge tree computation on AMR data with local exchanges [show abstract] | |
| Nicola del Giudice (TU, advisor M. Kang): Subcritical random hypergraphs [show abstract] | |
| Lukas Andritsch (KFU, advisor K. Baur): A note on friezes of type Λ4 and Λ6 [show abstract] | |
| 2018-12-7 | Doctoral School Seminar (Seminarraum 2 des Instituts für Geometrie, Kopernikusgasse 24, 10:30—13:00, TU) |
| Gundelinde Wiegel (TU, advisor W. Woess): The Frog Model: A Model for information spreading [show abstract] | |
| Rene Corbet (TU, advisor M. Kerber): A Kernel for Multi-Parameter Persistent Homology [show abstract] | |
| Martin Schwinzerl (KFU, advisor G. Haase): SixTrackLib: Towards Modular, Scalable and Numerically Efficient Symplectic Particle-Tracking [show abstract] | |
| Stefan Lendl (TU, advisor B. Klinz): Dispersing obnoxious facilities on a graph [show abstract] | |
| 2019-01-18 | Doctoral School Seminar (Inst. Mathematik, Heinrichstr. 36, 14:00—16:30, KFU) |
| Michael Preischl (TU, advisor R. Tichy): Optimal reinsurance for Gerber-Shiu Functions in the Cramer-Lundberg Model [show abstract] | |
| Hannah Schreiber (TU, advisor M. Kerber): Discrete Morse Theory for Computing Zigzag Persistence [show abstract] | |
| Amr Ali Al-Maktry (TU, advisor S. Frisch): On Null Polynomials of Higher Order [show abstract] | |
| Mahadi Ddamulira (TU, advisor R. Tichy): On the x-coordinates of Pell equations which are k-generalized Fibonacci numbers [show abstract] | |
| 2019-02-01 | Doctoral School Seminar (Seminarraum 2 des Instituts für Geometrie, Kopernikusgasse 24, 10:30—13:00, TU) |
| Laura Marx (KFU, advisor G. Plank): Personalizing computational models of left ventricular electro-mechanics and the circulatory system | |
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Abstract: Computational models of cardiac electromechanics show high promise as a tool for quantitative analysis of clinical data. However, to be of clinical utility models must be able to replicate - with sufficient accuracy within the margins of uncertainty clinical data are afflicted with - all clinical observations and, ideally, be able to predict acute and chronic responses to treatments. This talk deals with the development and personalization of such models using clinical data of patients suffering from aortic valve disease or aortic coarctation.[hide abstract] | |
| Irene Parada (TU, advisor O. Aichholzer): Unavoidable Configurations in Simple Drawings [show abstract] | |
| Karli Gilette (KFU, advisor G. Plank): Automized Parameterization of a Human Biventricular Cardiac Model of Electrophysiology Based on Non-invasive Clinical Recordings [show abstract] | |
| Gernot Holler (KFU, advisor K. Kunisch): A bilevel approach for parameter learning in inverse problems [show abstract] |