TA

Thomas Robert Altstidl

Chair of Machine Learning and Data Analytics

Research associates

Contact

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"

2025

2024

2023

2022

2021

WS 2024/25 Machine Learning for Engineers I Machine Learning for Engineers II
SS 2024 Machine Learning for Engineers I Machine Learning for Engineers II
WS 2023/24 Machine Learning for Engineers I Machine Learning for Engineers II
SS 2023 Machine Learning for Engineers I Machine Learning for Engineers II
WS 2022/23 Machine Learning for Engineers I Machine Learning for Engineers II
SS 2022 Machine Learning for Engineers I Machine Learning for Engineers II
WS 2021/2022 Machine Learning for Engineers I Machine Learning for Engineers II
SS 2021 Machine Learning for Engineers I Machine Learning for Engineers II

07/2021 - 01/2022 Simon Dietz (Master Thesis) Machine Learning Methods for Mixed-Type Time Series Analysis (main supervisor An Nguyen)
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
05/2022 - 10/2022 Elisabeth Gabler (Bachelor Thesis) Fetal Re-Identification: Deep Learning on Pregnancy Ultrasound Images (main supervisor Michael Nissen)
06/2022 - 11/2022 Christopher Kraus (Master Thesis) Compression of spatial information in wideband channel measurements using generative models
10/2022 - 04/2023 Martin Zeus (Master Thesis) Predicting Disease Progression in Multiple Sclerosis using Machine Learning
03/2023 - 09/2023 Nhat Anh Phung Tuan (Master Thesis) Evaluation of NeVA in Predicting Radiologist’s Eye Movement on Chest X-ray Data (main supervisor Dario Zanca)
06/2023 - 12/2023 Maximilian Gaul (Master Thesis) Comparison of different radio modules for CSI sensing and positioning (with Maximilian Stahlke)
06/2023 - 12/2023 Leon Brasseler (Master Thesis) None-Line-of-Sight Detection for Radio Localisation using Deep State Space Models (with Maximilian Stahlke)