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Summer Term 2021, Doctoral School Events
2021-03-19 Doctoral School Seminar (10:00–12:00, Video conference, TU)
Michael Missethan (TU, advisor M. Kang): Maximum degree in random planar graphs [show abstract]
Daniel Windisch (TU, advisor S. Frisch): Prime ideals in infinite products of commutative rings [show abstract]
New Students (TU+KFU)
Benjamin Klahn (TU, advisor C. Elsholtz): A Divisor Problem for Polynomials [show abstract]
2021-04-23 Doctoral School Seminar (14:00–16:30, Video conference, KFU)
Christian Lindorfer (TU, advisor W. Woess): Word problems for groups [show abstract]
Panagiotis Spanos (TU, advisor W. Woess): Random walks and the Dirichlet problem at infinity [show abstract]
New Students (TU+KFU)
Aqsa Bashir (KFU, advisor A. Geroldinger): Stable Domains and their Arithmetic [show abstract]
2021-05-21 Doctoral School Seminar (10:00–12:00, Video Conference, TU)
Julian Zalla (TU, advisor M. Kang): Loose cores and cycles in random hypergraphs [show abstract]
Raphael Watschinger (TU, advisor G. Of): An integration by parts formula for the hypersingular boundary integral operator of the heat equation [show abstract]
New Students (TU+KFU)
Richard Huber (KFU, advisor K. Bredies): Evolution of Critical Trajectories

Abstract: The behavior of many physical systems can be modeled as minimization of some potential energy describing the impact of various physical forces and parameters. However, when avoiding convenient assumptions such as homogeneous material, the proper potential energy, and corresponding parameters become somewhat unclear. These parameters being necessary to understand and simulate the behavior of the system, one tries to understand them from real live experiments. We reframe the physical system as a gradient flow to obtain an analytically more manageable structure, and show how to recover the actual physical energy function from a sufficiently large number of experiments.[hide abstract]

2021-06-18 Doctoral School Seminar (14:00–16:30, Video conference, KFU)
Josef Strini (TU, advisor S. Thonhauser): A time-inconsistent stochastic optimal control problem from risk theory [show abstract]
Huan Chen (KFU, advisor G. Haase): Reinforcement learning based controller for hybrid electric vehicles [show abstract]
Martin Schwinzerl (KFU, advisor G. Haase): Optimising The Numerical Performance and Scalability Of Beam Field Elements In Beam Dynamics Simulations [show abstract]
Thomas Hirschler (TU, advisor W. Woess): Comparing Entropy Rates on Finite and Infinite Rooted Trees [show abstract]