Dr. Manuel Milling

Dr. Manuel Milling is a habilitation candidate at the School of Computation, Information and Technology of the Technical University of Munich, where he works on interpretable deep learning in audio and signal processing. His primary research focus is on fundamentally understanding the behaviour and training dynamics of deep learning interacting with audio and signal processing data under a particular perspective of applications, which include affective computing, health and industrial contexts. His research interests further extend to computer vision and NLP.

Research Interests:

• Deep learning for audio and signal processing
• Interpretable and explainable AI
• Deep learning training dynamics and generalisation
• Curriculum learning
• Affective computing
• Digital health
• AI for industrial applications
• Computer vision
• Natural language processing
   

Teaching Activities at TUM:

• Introduction to Programming and AI in Sports Science
• Advanced Practical Deep Learning for Audio, Speech and Language
• Advanced Practical Machine Learning for Digital Health
• Healthcare Innovation Program
• Supervision of Master Theses, Bachelor Theses, KAPs and other research modules

Education:

• PhD in Computer Science (Dr. rer. nat.), 2025
  Technical University of Munich, Germany
• Physics (M.Sc.), 2018
  University of Augsburg, Germany
• Informatics (B.Sc.), 2015
  University of Augsburg, Germany
• Physics (B.Sc.), 2014
  University of Augsburg, Germany

For further information, visit https://millinma.github.io/