Research Scientist
Mathematics Cluster
Information and Inference
Machine Learning

Email: thomas.weiss(at)oeaw.ac.at

 

Academic Background

Thomas Weiss studied mathematics and physics at the TU Munich. In 2016, he completed his PhD thesis on "Reflected Brownian Motions in the KPZ Universality Class". After some time as a risk manager in the financial sector, he completed another degree in electrical engineering sound engineering in Graz. The final thesis was written at ARI as part of the softpinna project on the use of non-rigid registration algorithms to improve photogrammetrically generated ear models.

Current Research

As part of the ANIML project, Thomas Weiss is studying the vocalizations of budgerigars in a social group setting. The current focus is on beamforming and source separation methods to extract single-bird audio streams from microphone array recordings. His general interests include bioacoustics, with a focus on automatic species detection and classification system, as well as signal processing, especially methods based on the zero positions of time-frequency representations.

Publications

  • Upper tail large deviations for Brownian motions with one-sided collisions. / Weiss, Thomas.
    In: Electronic Communications in Probability, Vol. 30, No. none, 01.01.2025, p. 1-12.
    DOIRISENWBIB
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