FAKULTÄT FÜR TECHNISCHE WISSENSCHAFTEN

Guests

This page contains information on our guests at the doc.funds doctoral school and the guest lectures.

Guests

2024

Name	Institution	Arrival	Departure
Jana de Wiljes	Technische Universität Ilmenau	21.02.2024	23.02.2024
Lassi Roininen	LUT University, Finland	21..02.2024	23.02.2024

2023

Name	Institution	Arrival	Departure
Bernadett Stadler	JKU Linz	16.04.2023	21.04.2023
Benjamin Robinson	University of Vienna	21.05.2023	26.05.2023
Radu Boţ	University of Vienna	03.07.2023	04.07.2023
William Rundell	Texas A&M University	03.07.2023	04.07.2023
Veronica Piccialli	Sapienza Università di Roma	11.07.2023	14.07.2023
Maximilian Engel	FU Berlin	16.10.2023	20.10.2023

2022

Name	Institution	Arrival	Departure
Irene Tubikanec	JKU Linz	27.04.2022	27.04.2022
Kerstin Lux	Technical University of München	30.05.2022	02.06.2022
Larisa Yaroslavtseva	University of Passau	18.06.2022	21.06.2022
Carola Schönlieb	University of Cambridge	26.06.2022	29.06.2022
Paweł Przybyłowicz	AGH University of Science and Technology	12.07.2022	17.07.2022
Elisabeth Gaar	JKU Linz	25.07.2022	29.07.2022
Michael Wallner	TU Wien	26.09.2022	27.09.2022
Claudia d’Ambrosio	Ecole Polytechnique	12.09.2022	17.09.2022
Ekaterina Kostina	Heidelberg University	13.09.2022	17.09.2022
Ralf Wunderlich	Brandenburg University of Technology Cottbus	12.09.2022	17.09.2022
Michael Wallner	TU Wien	26.09.2022	27.09.2022
Stephan Wagner	University Uppsala, Sweden	12.12.2022	16.12.2022

2021

Guests lectures

2024

Lecturer	Institution	Title of Lecture	Date	Location
Anna Melnykova	Avignion University	Hawkes processes in Neuronal Modelling	10.01.2024	N.1.43
Jana de Wiljes	Technische Universität Ilmenau	Data assimilation: theory, algorithms and applications	21.02.2024 10:00	N.2.35
Lassi Roininen	LUT University	Uncertainty quantification for Bayesian large-scale inverse problems	21.02.2024 11:00	N.2.35
Sylvia Frühwirth-Schnatter	WU Wien	Sparse Finite Bayesian Factor Analysis when the Number of Factors is Unknown	12.06.2024 10:00	N.2.35

2023

Lecturer	Institution	Title of Lecture	Date	Location
Bernadett Stadler	JKU Linz	Real-time control for Adaptive Optics systems of Extremely Large Telescopes	19.4.2023	N.2.35
Benjamin Robinson	University of Vienna	Distance between stochastic differential equations: a discretisation approach	24.5.2023	N.2.35
Evelyn Buckwar	JKU Linz	A stochastic hierarchical model for low grade glioma evolution	7.6.2023	N.2.35
Maximilian Engel	FU Berlin	Computer-assisted proofs for stochastic bifurcation problems	18.10.2023	HS 7
Łukasz Stępień	AGH University of Science and Technology Kraków	On global approximation of SDEs driven by countably dimensional Wiener process	18.10.2023	HS 7
Corinna Perchtold	JKU Linz	A non-stationary spatio-temporal precipitation model for Austria	6.12.2023	N.1.43
Amira Meddah	JKU Linz	Numerical Approximations and Convergence Analysis of Piecewise Diffusion Markov Processes, with Application to Glioma Cell Migration	6.12.2023	N.1.43

2022

Lecturer	Institution	Title of Lecture	Date	Location
Irene Tubikanec	JKU Linz	Structure preserving numerical and statistical methods for stochastic differential equations	27.04.2022	V.1.02
Kerstin Lux	Technical University of Munich	Uncertainty Quantification for Tipping Points in Random Ordinary Differential Equations	01.06.2022	V.1.02
Larisa Yaroslavtseva	University of Passau	High order methods for strong approximation of SDEs with a discontinuous drift coefficient	20.06.2022	HS 2
Carola Schönlieb	University of Cambridge	Machine learned regularization for solving inverse problems	29.06.2022	HS 4
Paweł Przybyłowicz	AGH University of Science and Technology	Stochastic numerics and Monte Carlo – how to make it faster?	14.07.2022	N.2.35
Michael Wallner	TU Wien	Limit laws for lattice paths with catastrophes	27 .09.2022 10:15	N.2.35
Amjad Tuffaha	American University of Sharjah	Free Boundary Problems of Fluid Flow and Fluid-Structure Interactions	23.11.2022	N.2.35
Stephan Wagner	University Uppsala, Sweden	Subtrees of graphs	14.12.2022 10:00	N.2.35

2021

Lecturer	Institution	Title of Lecture	Date	Location
Kremsner, Stefan, Dipl.-Ing. BSc	University of Graz	Backward Stochastic Differential Equations, PDEs and Deep Neural Networks	13.01.2021 10:00	https://classroom.aau.at/b/anw-ezd-k9g
Dr. Konstantinos Dareiotis	University of Leeds	Approximation of stochastic equations with irregular drifts	12.05.2021 11:00	https://classroom.aau.at/math-stat