- Deep learning with RGB and thermal images onboard a drone for monitoring operations. Journal of Field Robotics 39 (6), 2022 mehr…
Simon Speth, M.Sc.
Technische Universität München
Informatik 4 - Lehrstuhl für Software und Systems Engineering (Prof. Pretschner komm.)
85748 Garching b. München
- Tel.: +49 (89) 289 - 17836
Since December 2020, I am a Ph.D. student at the Chair of Software and Systems Engineering (Prof. Dr. Pretschner). My main research focus is on testing machine learning and deep learning models. Specifically, I am interested in a technique called metamorphic testing.
If you are interested in writing a thesis related to my research interests, please contact me by email.
|Search-Based Robustness Testing for Deep Learning Systems||Guided Research|
|Generation and Analysis of Metamorphic Test Cases for Neural Networks||Any|
|Data Augmentation in the Latent Space for Boosting Performance on Radar-Based Presence Sensing Applications||Master's|
|Improving Robustness of Semantic Segmentation for Autonomous Driving||Master's|
Search-Based Robustness Testing for Deep Learning Computer Vision Systems
|Metamorphic Testing of LiDAR/RADAR Obstacle Detection Systems||Master's|
|Inverse Transparency for Cloud Architectures||Bachelor's|
|Latent Space-Based Test Case Generation of Naturally Occurring Environmental Conditions for Traffic Sign Classifiers||Master's|
|Winter 2022/2023||Advanced Testing of Deep Learning Models - Towards Robust AI|
|Summer 2022|| |
Advanced Topics of Software Testing
|Winter 2021/2022|| |
From Sub-Systems to Systems of Systems – Developing Autonomous Driving Functions (in cooperation with fortiss)
|Summer 2021|| |
Requirements Engineering (Elite program)