Thomas Altstidl
Thomas Altstidl, M. Sc.
Academic CV
Since 04/2021 | Ph.D. Student Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg |
04/2020 – 06/2020 | Student Research Assistant Friedrich-Alexander-University Erlangen-Nürnberg, Machine Learning and Data Analytics Lab |
10/2018 – 03/2021 | M.Sc. in Computer Science Friedrich-Alexander-University Erlangen-Nürnberg Master Thesis: “Scale-invariant Convolution Kernels” |
04/2019 – 03/2020 & 11/2020 – 01/2021 | Student Research Assistant Fraunhofer Society, Precise Positioning and Analytics Department |
04/2017 – 08/2017 & 10/2017 – 02/2018 | Student Teaching Assistant Friedrich-Alexander-University Erlangen-Nürnberg, Distributed Systems and Operating Systems Group |
10/2015 – 04/2019 | B.Sc. in Computer Science Friedrich-Alexander-University Erlangen-Nürnberg Bachelor Thesis: “Application of Deep Learning Methods to Process Natural Phenomena” |
Research Projects
Publications
2022
In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy
2022 52nd European Microwave Conference (Milan, 27. September 2022 - 29. September 2022)
In: Institute of Electrical and Electronics Engineers (IEEE) (ed.): 2022 52nd European Microwave Conference, Milan: 2022
DOI: 10.23919/EuMC54642.2022.9924376
BibTeX: Download
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2021
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning
International Conference on Indoor Positioning and Indoor Navigation (IPIN2021) (Lloret de Mar, Spain, 29. November 2021 - 2. December 2021)
In: Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) 2021
DOI: 10.1109/IPIN51156.2021.9662545
BibTeX: Download
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Teaching
Students
12/2021 – 04/2022 | Juliane Hoffmann (Bachelor Thesis) Annotation-efficient learning of surgical instrument activity |
01/2022 – 06/2022 | Stefan Kraft (Master Thesis) Self-supervised Learning of Monocular Depth Estimation in Crane Environments |
01/2022 – 06/2022 | Sven Steinkemper (Master Thesis) Machine Learning for Systems Biology: Data Analysis of IBD Patients’ Microarray Data |
06/2022 – 11/2022 | Christopher Kraus (Master Thesis) Compression of spatial information in wideband channel measurements using generative models |