- Deep learning with RGB and thermal images onboard a drone for monitoring operations. Journal of Field Robotics 39 (6), 2022 more…
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
I am a Ph.D. student at the Chair of Software and Systems Engineering headed by Professor 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
|Generation and Analysis of Metamorphic Test Cases for Neural Networks
|Data Augmentation in the Latent Space for Boosting Performance on Radar-Based Presence Sensing Applications
|Improving Robustness of Semantic Segmentation for Autonomous Driving
Search-Based Robustness Testing for Deep Learning Computer Vision Systems
|Metamorphic Testing of LiDAR/RADAR Obstacle Detection Systems
|Inverse Transparency for Cloud Architectures
|Latent Space-Based Test Case Generation of Naturally Occurring Environmental Conditions for Traffic Sign Classifiers
|Advanced Testing of Deep Learning Models - Towards Robust AI
Advanced Topics of Software Testing
From Sub-Systems to Systems of Systems – Developing Autonomous Driving Functions (in cooperation with fortiss)
Requirements Engineering (Elite program)