Hugo Math
Externer Doktorand
Chair for Machine Learning & Computer Vision
CV
Lebenslauf:
- 2023 - Now: PhD candidate in Deep learning at University of Augsburg and BMW Promotion program
- 2022 - 2023: Master of Business Administration at IAE Dijon
- 2018 - 2023: Master of Science in Engineering at Polytech Dijon (University of Burgundy)
Areas of interest:
- Deep Learning applied to machine generated data
- Self-supervised learning
- Sequence classification
About me:
I am currently a PhD candidate at the University of Augsburg and part of the BMW promotion program. My main research area focuses on how to leverage machine generated data from cars with deep learning methods to automize defects detection. This involves NLP based models, sequence classification and unsupervised learning in a big data environment.