Doctoral Students

Supervisor

  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. Dr.-Ing. Jun Deng, MSc (Doctoral Thesis, TUM, 08/2011 – 06/2016, finished 06/2016): Feature Transfer for Speech Emotion Recognition
  6. Dr Yue Zhang, MSc (Doctoral Thesis, Imperial College London, 01/2014 – 12/2017, finished 10/2018): Machine Learning Approaches for Holistic Computational Paralinguistics
  7. Dr.-Ing. Kun Qian (Doctoral Thesis, TUM, 10/2014 – 10/2018, finished 11/2018): Automatic General Audio Signal Classification
  8. Dr.-Ing. Simone Hantke, MSc (Doctoral Thesis, TUM, 03/2014 – 2018, finished 05/2019 with highest honour): Intelligent Gamified Crowdsourcing for Audio Processing
  9. Dr.-Ing. Florian Pokorny (external Doctoral Thesis with Medical University of Graz, TUM, 11/2013, finished 07/2019, now with Medical University of Graz): Towards an Automatic Earlier Recognition of Autism Spectrum Disorder, Fragile X Syndrome, and Rett Syndrome through Intelligent Pre-linguistic Vocalisation Analysis
  10. Dr.-Ing. Erik Marchi, MSc (Doctoral Thesis, TUM, 12/2011 – 08/2016, now with Apple): Automatic Emotion Recognition in the Voice of Children with Autism Spectrum Conditions
  11. Dipl.-Ing. Raymond Brückner (external Doctoral Thesis with SVOX/Nuance, TUM, since 06/2011): Application of Deep Learning Methods in Computational Paralinguistics
  12. Mr Gil Keren (Doctoral Thesis, University of Passau, 10/2015 – 09/2019, now with Facebook): Neural Network Supervision: Notes on Loss Functions, Labels and Confidence Estimation
  13. Mr Shahin Amiriparian, MSc (Doctoral Thesis, TUM, since 03/2014, University of Passau, since 10/2014): Deep Representation Learning Techniques for Audio Signal Processing
  14. Ms Jing Han (Doctoral Thesis, University of Passau, since 02/2015): Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild
  15. Mr Vedhas Pandit (Doctoral Thesis, University of Passau, since 01/2015): Machine Learning Methods for Classification of Complex Audio Signals
  16. Mr Maximilian Schmitt (Doctoral Thesis, University of Passau, since 01/2015): Noise-Robustness in Audio Signal Analysis
  17. Ms Alice Emily Baird (Doctoral Thesis, University of Passau, since 08/2016): Reinforced Soundscape Generation via Multimodal Monitoring of Individual Wellbeing
  18. 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
  19. Mr Zijiang Yang (Doctoral Thesis, University of Passau, since 07/2016): Affective Computing in Video Games
  20. Ms Zhao Ren (Doctoral Thesis, University of Passau, since 04/2017): Holistic Paralinguistic Speech Analysis
  21. 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
  22. Ms Najla Al Futaisi (Doctoral Thesis, Imperial College London, since 04/2018): Artificial Creativity: Deep Learning for Text Visualization
  23. Mr Lukas Stappen (Doctoral Thesis, University of Augsburg, since 04/2018): Sentiment Analysis in the Wild
  24. Ms Meishu Song (Doctoral Thesis, since 04/2018): Usability Factors in Intelligent mHealth Applications
  25. Mr Shuo Liu (Doctoral Thesis, University of Augsburg, since 09/2018): Audio Intelligence in Health Care
  26. Mr Adrià Mallol (Doctoral Thesis, University of Augsburg, since 10/2018): Speech Processing in Health Care
  27. Mr Manuel Milling (Doctoral Thesis, University of Augsburg, since 10/2018): Deep Learning in Neurodevelopmental Disorder Diagnosis and Coaching
  28. Mr Andreas Triantafyllopoulos (external Doctoral Thesis with audEERING GmbH, University of Augsburg, since 09/2018): Deep Learning for Audio Intelligence Tasks
  29. Mr Vincent Karas (Doctoral Thesis, University of Augsburg, since 11/2018): Affective Computing in the Automotive Environment
  30. Mr Mostafa M. Mohamed (external Doctoral Thesis with Sync Pilot GmbH, University of Augsburg, since 03/2019): Advanced Reinforcement Learning for Speech Analysis in Call-Centre Data Streams
  31. Mr Mina Adel Fahmy Nessiem (external Doctoral Thesis with Sync Pilot GmbH, University of Augsburg, since 03/2019): Real-time Personality Recognition in Large Call-Centre Data
  32. Ms Gauri Deshpande (external Doctoral Thesis with Tata Consultancy Services, University of Augsburg, since 07/2019): Speech Emotion Recognition
  33. Mr Thomas Wiest (Doctoral Thesis, University of Augsburg, since 07/2019): Digital Solutions for Wellbeing in an Aging Society

Co-Supervisor

  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
  3. Ali Girayhan Özbay (Doctoral Thesis, Imperial College London, since 10/2018): Deep Learning for Rapid Estimation of Flow Dynamics

2nd Supervisor

  1. Ms Zhen Wei (Doctoral Thesis, Imperial College London, since 01/2015): Financial Data Assimilation
  2. Mr Nuri Cingillioglu (Doctoral Thesis, Imperial College London, since 09/2017): Neuro-symbolic Reasoning Systems for NLP

Ready.

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