Quy Le Xuan studied Electrical Engineering and Information Technology with an emphasis on Communications Engineering at the University of Hannover. He received his B.Sc. and his M.Sc. degrees (both with distinction) from the University of Hannover in November 2017 and October 2020, respectively. His master thesis at Volkswagen Group Innovation dealt with artificial neural network-based multimodal trajectory predictions with HD map cues for highly-automated driving. Since March 2021 he is a member of the group of Professor Ostermann, working as a research associate toward his PhD. 

Research interests:

• Deep learning; Representation learning
• Uncertainty-aware neural networks
• Transfer learning; Domain adaptation
• Self-supervised learning
• Continual/Lifelong learning
• Interpretable machine learning (iML)
• AI-driven predictive maintenance (PdM)
  • Prognostics and health management (PHM)
  • Remaining useful life (RUL) prediction
  • Faults detection and diagnostics
  • Anomaly detection

If you are interested in writing a thesis, in a HiWi position, or in a cooperation, feel free to get in touch with him.