Doctoral Students


  1. Dr.-Ing. Martin Wöllmer (Doctoral Thesis, TUM, 01/2008 – 08/2012, finished 02/2013 with highest honour, now with BMW): Context-Sensitive Machine Learning for Intelligent Human Behavior Analysis
  2. Dr.-Ing. Florian Eyben (Doctoral Thesis, 01/2008 – 02/2015, finished 01/2015 with highest honour, now CTO of audEERING GmbH): Real-time Speech and Music Classification by Large Audio Feature Space Extraction
  3. Dr. rer. nat. Felix Weninger (Doctoral Thesis, TUM, 01/2010 – 05/2015, finished 05/2015, now with Nuance): Intelligent Single-Channel Methods for Multi-Source Audio Analysis
  4. Dr.-Ing. Zixing Zhang, MSc (Doctoral Thesis, TUM, 08/2010 – 04/2015, finished 04/2015): Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis
  5. Dipl.-Ing. Raymond Brückner (external Doctoral Thesis with SVOX/Nuance, TUM, since 06/2011): Deep Learning for Vocal Social Signal Analysis
  6. Dr.-Ing. Jun Deng, MSc (Doctoral Thesis, TUM, 08/2011 – 06/2016, finished 06/2016): Feature Transfer Learning for Speech Emotion Recognition
  7. Mr Erik Marchi, MSc (Doctoral Thesis, TUM, 12/2011 – 08/2016, now with Apple): Speech Analysis and Feedback for Voice Coaching
  8. Dipl.-Ing. Florian Pokorny (external Doctoral Thesis with Medical University of Graz, TUM, since 11/2013): The Voice of Genetic Disorders – An Acoustic Analysis of Early Vocalizations in Rett and Fragile X Syndrome
  9. Ms Yue Zhang, MSc (Doctoral Thesis, Imperial College London, since 01/2014): Novel Machine Learning Approaches for Holistic Computational Paralinguistics
  10. Ms Simone Hantke, MSc (Doctoral Thesis, TUM, since 03/2014): Intelligent Crowdsourcing for Multimedia Processing
  11. Mr Shahin Amiriparian, MSc (Doctoral Thesis, TUM, since 03/2014, University of Passau, since 10/2014): Complex Systems Algorithms in Audio Processing
  12. Mr Kun Qian (Doctoral Thesis, TUM, since 10/2014): Automatic General Audio Signal Classification
  13. Ms Jing Han (Doctoral Thesis, University of Passau, since 02/2015): Deep Holistic Speech Analysis
  14. Mr Vedhas Pandit (Doctoral Thesis, University of Passau, since 01/2015): Machine Learning Methods for Classification of Complex Audio Signals
  15. Mr Maximilian Schmitt (Doctoral Thesis, University of Passau, since 01/2015): Noise-Robustness in Audio Signal Analysis
  16. Mr Gil Keren (Doctoral Thesis, University of Passau, since 10/2015): Convolutional Recurrent Neural Networks
  17. Mr Gerhard Hagerer (Doctoral Thesis, University of Passau, since 06/2016): Real-time Matched Affective Music Synthesis for Individuals with Autism Spectrum Condition
  18. Ms Alice Emily Baird (Doctoral Thesis, University of Passau, since 08/2016): Understanding of Paralinguistic Speech traits through Performance-led research
  19. Mr Panagiotis Tzirakis (Doctoral Thesis supported by EPSRC, Imperial College London, since 10/2016): Deep Learning methods for End-to-End Modeling of multimodal phenomena
  20. Mr Zijiang Yang (Doctoral Thesis, University of Passau, since 07/2016): Affective Computing in Video Games
  21. Ms Zhao Ren (Doctoral Thesis, University of Passau, since 04/2017): Holistic Paralinguistic Speech Analysis
  22. Mr Georgios Rizos (Doctoral Thesis supported by EPSRC  and Presidential Fellowship, Imperial College London, since 10/2017): Curiosity and Data-Efficiency in Reinforcement Learning via Bayesian Deep Networks
  23. Mr Adrià Mallol (Doctoral Thesis, University of Augsburg, since 10/2018): Speech Processing in Health Care
  24. Ms Najla Al Futaisi (Doctoral Thesis, Imperial College London, since 04/2018): Artificial Creativity: Deep Learning for Text Visualization


  1. Dr George Trigeorgis (Doctoral Thesis, Imperial College London, since 09/2013, finished 01/2018): Deep Learning for Audiovisual Analysis
  2. Josef Schmid (Doctoral Thesis, University of Passau / Ostbayerische Technische Hochschule Amberg-Weiden, since 04/2017): Traffic shaping for autonomous driving vehicles

2nd Supervisor

  1. Ms Zhen Wei (Doctoral Thesis, Imperial College London, since 01/2015): Financial Data Assimilation


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