Theses Reviewing

Habilitation Examiner

  1. Habilitation Thesis Rapporteur, Nicolas Obin: “De la représentation du signal à l’apprentissage de représentations: Modélisation structurée de signaux de parole”, IRCAM, Paris, France, 2023.
  2. Habilitation Thesis Examiner, Patrick Krauss: “Language Processing in Artificial Neural Networks and the Human Brain”, FAU, Erlangen-Nuremberg, Germany, 2022.
  3. Habilitation Thesis Examiner, Jörn Anemüller: “On Some Statistical Approaches to Information Processing – Principles, Models, and Applications”, University of Oldenburg, Oldenburg, Germany, 2020.
  4. Habilitation Thesis Examiner, Ronald Böck: “Anticipate the User: Multimodal Analyses in Human-Machine Interaction towards Group Interaction”, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 2020.
  5. Habilitation Thesis Rapporteur, Kévin Bailly: “Apprentissage automatique pour l’analyse des expressions faciales”, UPMC, Paris, France, 2019.
  6. Habilitation Thesis Rapporteur, Chloé Clavel: “Analyse des opinions dans les interactions : de la fouille de données à l’interaction humain-agent”, LTCI-CNRS, Telecom-ParisTech, Paris, France, 2017.
  7. Habilitation Thesis Rapporteur, Matthieu Geist: “Contrôle optimal et apprentissage automatique, applications aux interactions homme-machine”, Université de Lille 1, Lille, France, 2016.

PhD Examiner

  1. Doctoral Thesis external Examiner (Zweitgutachter), Pol van Rijn, Max Planck Institute for Empirical Aesthetics / University of Augsburg, Germany, 2025.
  2. Doctoral Thesis external Examiner, Meishu Song, “Deep Multimodal Analysis for Daily Mental Health Monitoring”, The University of Tokyo, Tokyo, Japan, 2024.
  3. Doctoral Thesis Pre-Examiner, Tuomas Varanka, “Uncovering Subtle Details of Faces”, University of Oulu, Oulu, Finland, 2024.
  4. Doctoral Thesis External Examiner, Kosmas Pinitas, “Advancing Affect Modelling via Representation Learning”, University of Malta, Malta, 2024.
  5. Doctoral Thesis External Examiner, Daniel Schaudt, “tba”, University of Ulm, Ulm, Germany, 2024.
  6. Doctoral Thesis Internal Examiner, Alexandros Haliassos: “Learning From Talking Faces: From DeepFake Detection to Speech Recognition”, Imperial College London, London, UK, 2024.
  7. Doctoral Thesis Internal Examiner, Konstantinos Barmpas: “From Thought to Action: Enhancing Motor-Imagery Brain Computer Interfaces Through Deep Learning”, Imperial College London, London, UK, 2024.
  8. Doctoral Thesis Internal Examiner, Liu Li: “Robust Topology-Preserving Segmentation in Medical Images”, Imperial College London, London, UK, 2024.
  9. Doctoral Thesis External Examiner, Wen Wu: “Speech-Based  Emotion Modelling and Mental Disorder Detection”, University of Cambridge, Cambridge, UK, 2024.
  10. Doctoral Thesis Internal Examiner, Alexandros Haliassos: “Learning From Talking Faces: From DeepFake Detection to Speech Recognition”, Imperial College London, London, UK, 2024.
  11. Doctoral Thesis Examiner (Zweitgutachter), Annalisa Baronetto, University of Freiburg, Freiburg, Germany, 2024.
  12. Doctoral Thesis Examiner (Zweitgutachter), Haluk Hekimoglu: “Active Learning for Autonomous Driving:”, Technische Universität München, Munich, Germany, 2024.
  13. Doctoral Thesis Examiner (Zweitgutachter), Robert Richer: “Digital Health Psychology – Wearable and Mobile Technologies to Advance Biopsychological Stress Research”, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany, 2024.
  14. Doctoral Thesis Internal Examiner: “Audio-visual speech generation and representation learning”, Triantafyllos Kefalas, Imperial College London, London, UK, 2023.
  15. Doctoral Thesis External Examiner: “Deep Learning Methods for Affect and Schizophrenia Symptom Estimation”, Nikki Maria Foteinopoulou, Queen Mary University London, London, UK, 2024.
  16. Doctoral Thesis External Examiner, Markus Hofmarcher: “Sample Efficient Deep Learning Methods for Reinforcement Learning and Bioimaging”, Johann Kepler University, Linz, Austria, 2023.
  17. Doctoral Thesis Examiner (Zweitgutachter), Sebastian Soller: “Anomaly Detection and Forecasting Techniques and their Applications Scenarios, Challenges and Limits in Industrial Production Settings”, University of Passau, Passau, Germany, 2023.
  18. Doctoral Thesis Examiner (Zweitgutachter), Bernhard Bermeitinger: “Investigating a Second-Order Optimization Strategy for Neural Networks”, University of Passau, Passau, Germany, 2023.
  19. Doctoral Thesis Rapporteur, Yannis Tevissen: “Diarisation du locuteur dans le domaine des médias”, Télécom-SudParis, Paris, France, 2023.
  20. Doctoral Thesis Rapporteur, Juan Fernando Vazquez Rodriguez: “Transformers Multimodaux pour la Reconnaissance des Emotions”, Université Grenoble Alpes, Grenoble, France, 2023.
  21. Doctoral Thesis Examiner, Eric Guizzo: “Techniques for Enhancing Generalization of Speech Emotion Recognition with Convolutional Neural Networks”, City University London, London, UK, 2023.
  22. Doctoral Thesis Examiner, Anushree Basu, “Identification of Stress through Spatio-Temporal Analysis of Facial Thermograms”, IIT Kharagpur, Kharagpur, India, 2022.
  23. Doctoral Thesis Examiner, Khaled Koutini: “Inductive Bias in Learning Robust Audio Representations”, Johannes Kepler University, Linz, Austria, 2022.
  24. Doctoral Thesis Examiner (Zweitgutachter), Hannes Ritschel: “Real-Time Generation and Adaptation of Social Companion Robot Behaviors”, University of Augsburg, Augsburg, Germany, 2022.
  25. Doctoral Thesis Examiner, Shivani Yadav: “Analysis of vocal sounds in asthmatic patients”, Indian Institute of Science, Bengaluru, India, 2022.
  26. Doctoral Thesis Examiner (Zweitgutachter), Stephan Brehm: “Image Manipulation and Image Synthesis Applications and Use-Cases using Deep Neural Networks”, University of Augsburg, Augsburg, Germany, 2022.
  27. Doctoral Thesis Internal Oral Examiner, Philipp Harzig: “Automatic Generation of Natural Language Descriptions of Visual Data”, University of Augsburg, Augsburg, Germany, 2022.
  28. Doctoral Thesis Internal Examiner, Philip Nadler: “Parameter Learning in Time Series: From Static to Dynamic Approaches”, Imperial College London, London, UK, 2022.
  29. Doctoral Thesis Go/No-Go External Assessor, Francisca Pessanha, “Oral History Archives”, University of Utrecht, The Netherlands, 2021.
  30. Doctoral Thesis Internal Examiner, Markos Georgopoulos: “Bias in Deep Learning and Applications to Face Analysis”, Imperial College London, UK, 2021.
  31. Doctoral Thesis Examiner, Thomas Schirgi: “CaRE – Multimedia Assistance Systems for Singletons Does IT help?”, TU Graz, Graz, Austria, 2021.
  32. Doctoral Thesis Examiner (Mitberichter), Michael Neumann: “Multiclass Speech Emotion Recognition with Neural Networks: Investigations on Aspects of Input Data, Multilingual Modeling, and Data Scarcity”, University of Stuttgart, Stuttgart, Germany, 2021.
  33. Doctoral Thesis Examiner (Zweitgutachter), Andreas Seiderer: “Nutzung von IoT-Technologien und Mobile Computing zur Verbesserung des menschlichen Wohlbefindens”, University of Augsburg, Augsburg, Germany, 2021.
  34. Doctoral Thesis Internal Examiner, Haoyang Wang: “Deep Deformable Models for 3D Human Body”, Imperial College London, London, UK, 2021.
  35. Doctoral Thesis Internal Examiner, Yiming Lin: “Deep Face Tracking and Parsing in the Wild”, Imperial College London, London, UK, 2021.
  36. Doctoral Thesis Examiner, Asif Jalal: “Learning Attention Mechanisms and Context: An Investigation into Vision and Emotion”, University of Sheffield, Sheffield, UK, 2021.
  37. Doctoral Thesis Examiner (Zweitgutachter), Christoph Janott: “Machine Learning Strategies for the Acoustic Interpretation of Snoring Noise”, Technische Universität München, Munich, Germany, 2021.
  38. Doctoral Thesis Examinateur, Léo Hémamou: “Analyse Automatique des Comportements Multimodaux lors d’Entretiens Vidéo Différés pour le Recrutement”, Université Paris-Saclay, Paris, France, 2021.
  39. Doctoral Thesis Rapporteur, Catherine Taleb: “Parkinson’s disease Detection by Multimodal Analysis Combining Handwriting and Speech Signals”, Institut Polytechnique de Paris, Paris, France, 2020.
  40. Doctoral Thesis Examiner (Zweitgutachter), Simon Flutura: “Mobile Social Signal Interpretation in the Wild for Wellbeing”, University of Augsburg, Augsburg, Germany, 2020.
  41. Doctoral Thesis Internal Early Stage Reviewer, Abhinav Shukla: “Audiovisual Recognition of Emotional Speech by Unsupervised Multimodal Representation Learning”, Imperial College London, London, UK, 2020.
  42. Doctoral Thesis Internal Examiner, Kritaphat Songsri-in: “Deep Learning for Facial Analysis”, Imperial College London, London, UK, 2020.
  43. Doctoral Thesis Internal Examiner, Jie Pu: “Machine Learning Methods for Audio-Visual Event Analysis”, Imperial College London, London, UK, 2020.
  44. Doctoral Thesis Examiner (Zweitgutachter), Mareike Buhl: “Towards machine learning in audiology: Introducing Common Audiological Functional Parameters (CAFPAs) to support audiological diagnostics”, Carl von Ossietzky Universität Oldenburg, Germany, 2020.
  45. Doctoral Theses Examiner, Xinyuan Qian: “Multi-target Localization and Tracking using Audio-visual Signals”, Queen Mary University of London, London, UK, 2020.
  46. Doctoral Thesis Internal Examiner, Mengjiao Wang: “Multilinear Methods for Disentangling Variations”, Imperial College London, London, UK, 2019.
  47. Doctoral Thesis Rapporteur, Laetitia Jeancolas: “Early detection of Parkinson disease with voice recordings”, CNRS SAMOVAR, Institut Polytechnique de Paris, Paris, France, 2019.
  48. Doctoral Thesis Examiner (Zweitgutachter), Christoph Janott: “Machine Learning in Snoring Classification”, Technische Universität München, Munich, Germany, 2019.
  49. PhD Examiner, Surjya Ghosh: “Developing Smartphone Keyboard Interaction based Emotion Detection System”, Indian Institute of Technology Kharagpur, Kharagpur, India, 2019.
  50. Doctoral Thesis Rapporteur, Caroline Etienne: “Apprentissage profond appliqué à la reconnaissance des émotions dans la voix”, Université Paris 11, Paris, France, 2019.
  51. PhD Thesis Referee, Anirban Dasgupta: “Systems and Methods for the Assessment of Cognitive Loading using Oculography”, IIT Kharagpur, India, 2019.
  52. Doctoral Thesis Examiner, Veronica Morfi: “Automatic detection and classification of bird sounds in low-resource wildlife audio data”, Queen Mary University of London, London, UK, 2019.
  53. Doctoral Thesis Examiner (Zweitgutachter), Christian Eggert: “Reliable Company Logo Detection with Deep Convolutional Neural Networks”, University of Augsburg, Augsburg, Germany, 2018.
  54. Doctoral Thesis Rapporteur, Mélanie Ducoffe: “Active Learning and Input Space Analysis for Deep Networks”, Université Côte d’Azur, Nice, France, 2018.
  55. Doctoral Thesis Reviewer, Filomena Scibelli: “Detection of verbal and non-verbal speech features as markers of depression: results of manual analysis and automatic classification”, University of Naples Federico II, Naples, Italy, 2018.
  56. Doctoral Thesis Member of Jury, Meshia Cedric Oveneke: “Computer Vision and Machine Learning approaches for  Emotion Recognition from Facial Expressions”, Vrije Universiteit Brussel, Brussels, Belgium, 2018.
  57. Doctoral Thesis Examiner (Zweitgutachter), Tobias Baur: “Cooperative and Transparent Machine Learning for the Context-Sensitive Analysis of Social Interactions”, University of Augsburg, Augsburg, Germany, 2018.
  58. Doctoral Thesis Rapporteur, Caroline Langlet: “Analyse des Sentiments dans les Conversations Humain-Agent : Vers un Modèle des Goûts de l’Utilisateur”, LTCI-CNRS, Telecom-ParisTech, Paris, France, 2018.
  59. PhD Jury Member, Jaebok Kim:”Automatic recognition of engagement and emotion of children in group-play”, University of Twente, Enschede, The Netherlands, 2018.
  60. Doctoral Thesis Internal Examiner, Mohammed Hajaj: “Investigating the Behavior of Deep Convolution Networks in Image”, Imperial College London, London, UK, 2018.
  61. PhD Early Stage Assessor, Nicholas Thapen: “Separating Style and Content in Natural Language”, Imperial College London, London, UK, 2018.
  62. PhD Thesis Examiner, Suman Deb: “Stressed Speech Analysis for Assessment of Emotion and Physical Health”, IIT Guwahati, India, 2018.
  63. PhD Thesis Review Committee Member, Juliane Schmidt: “Listening for the WHAT and the HOW: Older adults’ processing of semantic and affective information in speech”, Radboud University, Nijmegen, the Netherlands, 2018.
  64. Doctoral Thesis Examiner (Zweitgutachter), Florian Lingenfelser: “Event-driven Fusion for Multimodal Affect Recognition”, University of Augsburg, Augsburg, Germany, 2018.
  65. Doctoral Thesis Examiner, Arie Nugraha: “Réseaux de neurones profonds pour la séparation des sources et la reconnaissance robuste de la parole (Deep neural networks for source separation and noise-robust speech recognition)”, University of Lorraine / INRIA Nancy – Grand Est, Nancy, France, 2017.
  66. Doctoral Thesis Examiner, Vladimir Gligorijevic: “Methods for Analysis and Integration of Heterogeneous Network Data”, Imperial College London, London, UK, 2017.
  67. Doctoral Thesis Examiner, Braja Gopal Patra: “Music Mood Classification: A Multimodal Computational Approach”, Jadavpur University, Kolkata, India, 2017.
  68. Doctoral Thesis Mid-term Examiner, Arie Nugraha: “Audio source separation by combining multichannel models and deep neural networks”, University of Lorraine, Nancy, France, 2016.
  69. Doctoral Thesis Examiner, Siddarth Sigtia: “Neural Networks for Analysing Music and Environmental Audio”, Queen Mary University of London, London, UK, 2016.
  70. Doctoral Thesis Examiner, Ashley Daniel Gritzman: “Adaptive Threshold Optimisation for Colour-based Lip Segmentation in Automatic Lip-Reading Systems”, University of the Witwatersrand, Johannesburg, South Africa, 2016.
  71. Doctoral Thesis Examiner (Zweitgutachter), Florian Hönig: “Automatic Assessment of Prosody in Second Language Learning”, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany, 2016.
  72. Doctoral Thesis Co-Examiner, Victor Tomashevich: “Fault Tolerance Aspects of Virtual Massive MIMO Systems”, University of Passau, Passau, Germany, 2016.
  73. Doctoral Thesis Examinateur, Jérémie Nicolle: “Reading Faces using Hard Multi-Task Metric Learning for Kernel Regression”, Université Pierre et Marie Curie, Paris, France, 2016.
  74. Doctoral Thesis Examiner, Lazaros Zafeiriou: “Unsupervised Analysis of Behaviour
    Dynamics”, Imperial College London, London, UK, 2016.
  75. Doctoral Thesis Examiner (Zweitgutachter), Johannes Wagner: “Social Signal Interpretation: Building Online Systems for Multi-modal Behaviour Analysis”, Augsburg University, Augsburg, Germany, 2015.
  76. Doctoral Thesis Rapporteur, Fan Yang: “Détection de marqueurs affectifs et attentionnels de personnes âgées en interaction avec un robot”, Université Paris-Saclay, Paris, France, 2015.
  77. Doctoral Thesis Rapporteur, Baveye Yoann: “Automatic Prediction of Emotions Induced by Movies”, Ecole Centrale de Lyon/Technicolor, Lyon, France, 2015.
  78. Doctoral Thesis Internal Examiner, Michael (Mihalis) A. Nicolaou: “Machine Learning for Automatic Analysis of Affective Behaviour”, Imperial College London, London, UK, 2014.
  79. Opponent PhD dissertation, Pasi Saari: “Content and Context-based Approaches to Prediction of Mood in Music”, University of Jyväskylä, Jyväskylä, Finland, 2014.
  80. Doctoral Thesis Pre-Reviewer, Jouni Pohjalainen: “Robust Feature Extraction of Speech”, Aalto University, Aalto, Finland, 2014.
  81. Doctoral Thesis Internal Examiner, Jie Shen: “Synchronisation and integration of modules for audiovisual behaviour understanding”, Imperial College London, London, UK, 2014.
  82. Doctoral Thesis Transfer Examiner, Christos Georgakis: “Visual detection of native/non-native speakers”, Imperial College London, London, UK, 2014.
  83. Doctoral Thesis Rapporteur, Clément Chastagnol: “Reconnaissance automatique des dimensions affectives dans l’interaction orale homme-machine pour des personnes dépendantes”, Université Paris 11, Paris, France, 2013.
  84. Doctoral Thesis Examinateur, Gelareh Mohamed: “Automatic Personality Perception: Inferring Personality Traits from Nonverbal Vocal Behavior”, EPFL, Lausanne, Switzerland, 2013.
  85. Doctoral Thesis Examiner (Zweitgutachter), Christian Plahl: “Neural Network based Feature Extraction for Speech and Image Recognition”, RWTH Aachen, Aachen, Germany, 2013.
  86. PhD Thesis Examiner Seliz Gülsen Karadogan: “Towards Cognizant Hearing Aids: Modeling of Content, Affect and Attention”, Technical University of Denmark, Lyngby, 2012.
  87. PhD Thesis Rapporteur Christophe Vaudable: “Analyse et reconnaissance des émotions lors de conversations de centres d’appels”, Université Paris 11, Paris, France, 2012.
  88. PhD Thesis Examinator Tet Fei Yap: “Speech production under cognitive load: Effects and classification”, University of New South Wales, Australia, 2011.
  89. PhD Thesis Examinateur Thibaud Senechal: “Ce que le visage révèle : Analyse des mouvements faciaux pour l’interprétation émotionnelle”, Université Pierre et Marie Curie – Paris 6, Paris, France, 2011.
  90. PhD Thesis Examinateur Fabien Ringeval: “Ancrages et modèles dynamiques de la prosodie : application à la reconnaissance des émotions actées et spontanées”, Université Pierre et Marie Curie – Paris 6, Paris, France, 2011.
  91. PhD Thesis Examinator Gordon James McIntyre: “The Computer Analysis of Facial Expressions: On the Example of Depression and Anxiety”, Faculty of Information Sciences & Engineering, University of Canberra, Canberra, Australia, 2010.
  92. PhD Thesis Examinator Julia Sidorova: “Optimization Techniques for Speech Emotion Recognition”, Department of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain, 2009.

Master’s and Bachelor’s Theses 2nd Marker

  1. Ben Thompson (2nd Marker, Undergraduate Individual Project, Imperial College London, 06/2014): Secure Online Coding Platform
  2. Clément Jambou (2nd Marker, MSc Individual Project, Imperial College London, 09/2014): Generating Music with Recurrent Neural Networks and other deep learning techniques
  3. Georgios Papamakarios (2nd Marker, MSc Individual Project, Imperial College London, 09/2014): Robust Low-Rank Modelling on Matrices and Tensors
  4. Cai Wenyang (2nd Marker, MSc Individual Project, Imperial College London, 09/2014): Detect eating and talking from webcam videos
  5. Liu Zhuolin (2nd Marker, MSc Individual Project, Imperial College London, 09/2014): Face Liveness Recognition
  6. Vincent Zhang (2nd Marker, Individual Project MSc, Imperial College London, 05/2015): Deep Learning for Facial Expression Analysis
  7. Lingyu Lu (2nd Marker, Individual Project MSc, Imperial College London, 05/2015): Application on unstructured big data platform
  8. Ian Billett (2nd Marker, Individual Project MSc, Imperial College London, 05/2015): Exploring the Networks of Academic Literature
  9. Dimitrios Kollias (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): An End-to-End Deep Neural Architecture for Dimensional Emotion Recognition
  10. Ye Zhou (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Data Mining for Chinese Left-behind Children Problem
  11. Michael Arcangeles (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Automated Lip-reading in the Wild
  12. Zukang Liao (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Deep Neural Networks for Age and Gender Classification
  13. Jie Pu (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Audio-associated visual object detection and segmentation using low rank and sparsity.
  14. Feipeng Cai (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Unsupervised Learning of Video Representations Using Recurrent Neural Networks
  15. Rajkumar Conjeevaram Mohan (2nd Marker, Individual Project MSc, Imperial College London, 09/2016): Speech Recognition using Deep Learning
  16. Liu, Zichen (2nd marker, Undergraduate Individual Project, Imperial College London, 06/2017): Machine Learning For Filtering Monte Carlo Noise In Ray Traced Images
  17. Gökce Iymen (Master’s Thesis Examiner, Koc University, Istanbul, Turkey, 2022): Intelligible Emotional Voice Conversion with StarGAN assisted by DTW and Speaker Classifier

Ready.

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