{"id":129,"date":"2015-12-07T00:59:02","date_gmt":"2015-12-07T00:59:02","guid":{"rendered":"http:\/\/www.schuller.it\/bws\/?page_id=129"},"modified":"2026-03-23T22:36:09","modified_gmt":"2026-03-23T22:36:09","slug":"theses-reviewing","status":"publish","type":"page","link":"http:\/\/www.schuller.it\/bws\/?page_id=129","title":{"rendered":"Theses Reviewing"},"content":{"rendered":"

Habilitation\u00a0Examiner<\/h4>\n
    \n
  1. Habilitation Thesis Rapporteur, Nicolas Obin: “De la repr\u00e9sentation du signal \u00e0 l’apprentissage de repr\u00e9sentations: Mod\u00e9lisation structur\u00e9e de signaux de parole”, IRCAM, Paris, France, 2023.<\/li>\n
  2. Habilitation Thesis Examiner, Patrick Krauss: “Language Processing in Artificial Neural Networks and the Human Brain”, FAU, Erlangen-Nuremberg, Germany, 2022.<\/li>\n
  3. Habilitation Thesis Examiner, J\u00f6rn Anem\u00fcller: “On Some Statistical Approaches to Information Processing – Principles, Models, and Applications”, University of Oldenburg, Oldenburg, Germany, 2020.<\/span><\/li>\n
  4. Habilitation Thesis Examiner, Ronald B\u00f6ck: “Anticipate the User: Multimodal Analyses in Human-Machine Interaction towards Group Interaction”, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 2020.<\/li>\n
  5. Habilitation Thesis Rapporteur, K\u00e9vin Bailly: “Apprentissage automatique pour l\u2019analyse des expressions faciales”, UPMC, Paris, France, 2019.<\/li>\n
  6. Habilitation Thesis Rapporteur, Chlo\u00e9 Clavel: “Analyse des opinions dans les interactions : de la fouille de donn\u00e9es \u00e0 l\u2019interaction humain-agent”,\u00a0LTCI-CNRS,\u00a0Telecom-ParisTech, Paris, France, 2017.<\/li>\n
  7. Habilitation Thesis Rapporteur, Matthieu Geist: “Contr\u00f4le optimal et apprentissage automatique, applications aux interactions homme-machine”, Universit\u00e9 de Lille 1, Lille, France, 2016.<\/li>\n<\/ol>\n

    PhD Examiner<\/h4>\n
      \n
    1. Doctoral Thesis Internal Examiner, Andreas Zinonos, “Deep Representation Learning for Audio-Visual Speech Recognition and Synthesis”, Imperial College London, London, UK, 2026.<\/li>\n
    2. Doctoral Thesis Examiner, Peter Wi\u00dfbrock,\u00a0“Industrial Sound Analytics Utilizing Signal Processing and Artificial Intelligence”, Leibniz University Hannover, Hannover, Germany, 2025.<\/li>\n
    3. Doctoral Thesis Examiner, Feryal Alskafi, “Emotional Awareness is Linked to Brain to Heart Coupling: A Neuroengineering Study”, Khalifa University, Abu Dhabi, UAE, 2025.<\/li>\n
    4. Doctoral Thesis External Examiner, Florian Borchert, “Cross-lingual Medical Text Analysis”<\/em>, Hasso-Plattner Institute\/University of Potsdam, Potsdam, Germany, 2025.<\/li>\n
    5. Doctoral Thesis Internal Examiner, Antoni Bigata, “Towards More Natural Audio-Driven Facial Animation”, Imperial College London, London, UK, 2025.<\/li>\n
    6. Doctoral Thesis Internal Examiner, Zhenhao Li: “Robustness in Natural Language Processing”, Imperial College London, London, UK, 2025.<\/li>\n
    7. Doctoral Thesis Rapporteur, Yajing Feng, “Speech and Text-Based Continuous Emotion Recognition in Real-life Customer Service Call Centers: A Context-Aware Dataset and Empirical Study”, Sorbonne Universit\u00e9, Paris, France, 2025.<\/li>\n
    8. Doctoral Thesis External Examiner (Zweitgutachter), Michael Dietz, “Assistive Augmentation of Cognitive Processes Using Mobile Signal Processing”, University of Augsburg, Augsburg, Germany, 2025.<\/li>\n
    9. Doctoral Thesis External Examiner (Zweitgutachter), Pol van Rijn, “Characterizing Emotional Prosody using Human-in-the-Loop Algorithms”, Max Planck Institute for Empirical Aesthetics \/ University of Augsburg, Germany, 2025.<\/li>\n
    10. Doctoral Thesis Visiting External Examiner, Kosmas Pinitas, “Advancing Affect Modelling via Representation Learning”, University of Malta, Malta, 2025.<\/li>\n
    11. Doctoral Thesis Examiner (Zweitgutachter), Annalisa Baronetto: “Design and Evaluation of Smart Clothes for Body Sound Monitoring in Free-Living”, University of Freiburg, Freiburg, Germany, 2025.<\/li>\n
    12. Doctoral Thesis External Examiner, Meishu Song, “Deep Multimodal Analysis for Daily Mental Health Monitoring”, The University of Tokyo, Tokyo, Japan, 2024.<\/li>\n
    13. Doctoral Thesis External Examiner, Daniel Schaudt, “Improving Deep Learning Performance under Scarce Data Conditions in Medical Imaging”, University of Ulm, Ulm, Germany, 2024.<\/li>\n
    14. 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.<\/li>\n
    15. Doctoral Thesis Internal Examiner, Liu Li: “Robust Topology-Preserving Segmentation in Medical Images”, Imperial College London, London, UK, 2024.<\/li>\n
    16. Doctoral Thesis External Examiner, Wen Wu: “Speech-Based \u00a0Emotion Modelling and Mental Disorder Detection”, University of Cambridge, Cambridge, UK, 2024.<\/li>\n
    17. Doctoral Thesis Internal Examiner, Alexandros Haliassos: “Learning From Talking Faces: From DeepFake Detection to Speech Recognition”, Imperial College London, London, UK, 2024.<\/li>\n
    18. Doctoral Thesis Examiner (Zweitgutachter), Haluk Hekimoglu: “Active Learning for Autonomous Driving:”, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany, 2024.<\/li>\n
    19. Doctoral Thesis Examiner (Zweitgutachter), Robert Richer: “Digital Health Psychology \u2013 Wearable and Mobile Technologies to Advance Biopsychological Stress Research”, Friedrich-Alexander-Universit\u00e4t, Erlangen-N\u00fcrnberg, Germany, 2024.<\/li>\n
    20. Doctoral Thesis Internal Examiner: “Audio-visual speech generation and representation learning”, Triantafyllos Kefalas, Imperial College London, London, UK, 2023.<\/li>\n
    21. Doctoral Thesis External Examiner: “Deep Learning Methods for Affect and Schizophrenia Symptom Estimation”, Nikki Maria Foteinopoulou, Queen Mary University London, London, UK, 2024.<\/li>\n
    22. Doctoral Thesis External Examiner, Markus Hofmarcher: “Sample Efficient Deep Learning Methods for Reinforcement Learning and Bioimaging”, Johann Kepler University, Linz, Austria, 2023.<\/li>\n
    23. 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.<\/li>\n
    24. Doctoral Thesis Examiner (Zweitgutachter), Bernhard Bermeitinger: “Investigating a Second-Order Optimization Strategy for Neural Networks”, University of Passau, Passau, Germany, 2023.<\/li>\n
    25. Doctoral Thesis Rapporteur, Yannis Tevissen: “Diarisation du locuteur dans le domaine des m\u00e9dias”, T\u00e9l\u00e9com-SudParis, Paris, France, 2023.<\/li>\n
    26. Doctoral Thesis Rapporteur, Juan Fernando Vazquez Rodriguez: “Transformers Multimodaux pour la Reconnaissance des Emotions”, Universit\u00e9 Grenoble Alpes, Grenoble, France, 2023.<\/li>\n
    27. Doctoral Thesis Examiner, Eric Guizzo: “Techniques for Enhancing Generalization of Speech Emotion Recognition with Convolutional Neural Networks”, City University London, London, UK, 2023.<\/li>\n
    28. Doctoral Thesis Examiner, Anushree Basu, “Identification of Stress through Spatio-Temporal Analysis of Facial Thermograms”, IIT Kharagpur, Kharagpur, India, 2022.<\/li>\n
    29. Doctoral Thesis Examiner, Khaled Koutini: “Inductive Bias in Learning Robust Audio Representations”, Johannes Kepler University, Linz, Austria, 2022.<\/li>\n
    30. Doctoral Thesis Examiner (Zweitgutachter), Hannes Ritschel: “Real-Time Generation and Adaptation of Social Companion Robot Behaviors”, University of Augsburg, Augsburg, Germany, 2022.<\/li>\n
    31. Doctoral Thesis Examiner, Shivani Yadav: “Analysis of vocal sounds in asthmatic patients”, Indian Institute of Science, Bengaluru, India, 2022.<\/li>\n
    32. 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.<\/li>\n
    33. Doctoral Thesis Internal Oral Examiner, Philipp Harzig: “Automatic Generation of Natural Language Descriptions of Visual Data”, University of Augsburg, Augsburg, Germany, 2022.<\/li>\n
    34. Doctoral Thesis Internal Examiner, Philip Nadler: “Parameter Learning in Time Series: From Static to Dynamic Approaches”, Imperial College London, London, UK, 2022.<\/li>\n
    35. Doctoral Thesis Go\/No-Go External Assessor, Francisca Pessanha, “Oral History Archives”, University of Utrecht, The Netherlands, 2021.<\/li>\n
    36. Doctoral Thesis Internal Examiner, Markos Georgopoulos: “Bias in Deep Learning and Applications to Face Analysis”, Imperial College London, UK, 2021.<\/li>\n
    37. Doctoral Thesis Examiner, Thomas Schirgi: “CaRE – Multimedia Assistance Systems for Singletons Does IT help?”, TU Graz, Graz, Austria, 2021.<\/li>\n
    38. 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.<\/li>\n
    39. Doctoral Thesis Examiner (Zweitgutachter), Andreas Seiderer: “Nutzung von IoT-Technologien und Mobile Computing zur Verbesserung des menschlichen Wohlbefindens”, University of Augsburg, Augsburg, Germany, 2021.<\/li>\n
    40. Doctoral Thesis Internal Examiner, Haoyang Wang: “Deep Deformable Models for 3D Human Body”, Imperial College London, London, UK, 2021.<\/li>\n
    41. Doctoral Thesis Internal Examiner, Yiming Lin: “Deep Face Tracking and Parsing in the Wild”, Imperial College London, London, UK, 2021.<\/li>\n
    42. Doctoral Thesis Examiner, Asif Jalal: “Learning Attention Mechanisms and Context: An Investigation into Vision and Emotion”, University of Sheffield, Sheffield, UK, 2021.<\/li>\n
    43. Doctoral Thesis Examiner (Zweitgutachter), Christoph Janott: “Machine Learning Strategies for the Acoustic Interpretation of Snoring Noise”, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany, 2021.<\/li>\n
    44. Doctoral Thesis Examinateur, L\u00e9o H\u00e9mamou: “Analyse Automatique des Comportements Multimodaux lors d\u2019Entretiens Vid\u00e9o Diff\u00e9r\u00e9s pour le Recrutement”, Universite\u0301 Paris-Saclay, Paris, France, 2021.<\/li>\n
    45. Doctoral Thesis Rapporteur, Catherine Taleb: “Parkinson’s disease Detection by Multimodal Analysis Combining Handwriting and Speech Signals”, Institut Polytechnique de Paris, Paris, France, 2020.<\/li>\n
    46. Doctoral Thesis Examiner (Zweitgutachter), Simon Flutura: “Mobile Social Signal Interpretation in the Wild for Wellbeing”, University of Augsburg, Augsburg, Germany, 2020.<\/li>\n
    47. Doctoral Thesis Internal Early Stage Reviewer, Abhinav Shukla: “Audiovisual Recognition of Emotional Speech by Unsupervised Multimodal Representation Learning”, Imperial College London, London, UK, 2020.<\/li>\n
    48. Doctoral Thesis Internal Examiner, Kritaphat Songsri-in: “Deep Learning for Facial Analysis”, Imperial College London, London, UK, 2020.<\/li>\n
    49. Doctoral Thesis Internal Examiner, Jie Pu: “Machine Learning Methods for Audio-Visual Event Analysis”, Imperial College London, London, UK, 2020.<\/li>\n
    50. Doctoral Thesis Examiner (Zweitgutachter), Mareike Buhl: “Towards machine learning in audiology: Introducing Common Audiological Functional Parameters (CAFPAs) to support audiological diagnostics”, Carl von Ossietzky Universit\u00e4t Oldenburg, Germany, 2020.<\/li>\n
    51. Doctoral Theses Examiner, Xinyuan Qian: “Multi-target Localization and Tracking using Audio-visual Signals”, Queen Mary University of London, London, UK, 2020.<\/li>\n
    52. Doctoral Thesis Internal Examiner, Mengjiao Wang: “Multilinear Methods for Disentangling Variations”, Imperial College London, London, UK, 2019.<\/li>\n
    53. Doctoral Thesis Rapporteur, Laetitia Jeancolas: “Early detection of Parkinson disease with voice recordings”, CNRS SAMOVAR, Institut Polytechnique de Paris, Paris, France, 2019.<\/li>\n
    54. Doctoral Thesis Examiner (Zweitgutachter), Christoph Janott: “Machine Learning in Snoring Classification”, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany, 2019.<\/li>\n
    55. PhD Examiner, Surjya Ghosh: “Developing Smartphone Keyboard Interaction based Emotion Detection System”, Indian Institute of Technology Kharagpur, Kharagpur, India, 2019.<\/li>\n
    56. Doctoral Thesis Rapporteur, Caroline Etienne: “Apprentissage profond appliqu\u00e9 \u00e0 la reconnaissance des \u00e9motions dans la voix”, Universit\u00e9 Paris 11, Paris, France, 2019.<\/li>\n
    57. PhD Thesis Referee, Anirban Dasgupta: “Systems and Methods for the Assessment of Cognitive Loading using Oculography”,\u00a0IIT Kharagpur, India, 2019.<\/li>\n
    58. 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.<\/li>\n
    59. Doctoral Thesis Examiner (Zweitgutachter), Christian Eggert: “Reliable Company Logo Detection with Deep Convolutional Neural Networks”, University of Augsburg, Augsburg, Germany, 2018.<\/li>\n
    60. Doctoral Thesis Rapporteur,\u00a0M\u00e9lanie Ducoffe: “Active Learning and Input Space Analysis for Deep Networks”, Universit\u00e9 C\u00f4te d’Azur, Nice, France, 2018.<\/li>\n
    61. 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.<\/li>\n
    62. Doctoral Thesis Member of Jury,\u00a0Meshia Cedric Oveneke: “Computer Vision and Machine Learning approaches for \u00a0Emotion Recognition from Facial Expressions”, Vrije Universiteit Brussel, Brussels, Belgium, 2018.<\/li>\n
    63. 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.<\/li>\n
    64. Doctoral Thesis Rapporteur, Caroline Langlet: “Analyse des Sentiments dans les Conversations Humain-Agent : Vers un Mod\u00e8le des Go\u00fbts de l\u2019Utilisateur”, LTCI-CNRS,\u00a0Telecom-ParisTech, Paris, France, 2018.<\/li>\n
    65. PhD Jury Member, Jaebok Kim:”Automatic recognition of engagement and emotion of children in group-play”, University of Twente, Enschede, The Netherlands, 2018.<\/li>\n
    66. Doctoral Thesis Internal Examiner, Mohammed Hajaj: “Investigating the Behavior of Deep Convolution Networks in Image”, Imperial College London, London, UK, 2018.<\/li>\n
    67. PhD Early Stage Assessor, Nicholas Thapen: “Separating Style and Content in Natural Language”, Imperial College London, London, UK, 2018.<\/li>\n
    68. PhD Thesis Examiner, Suman Deb: “Stressed Speech Analysis for Assessment of Emotion and Physical Health”, IIT Guwahati, India, 2018.<\/li>\n
    69. PhD Thesis Review Committee Member,\u00a0Juliane Schmidt: “Listening for the WHAT and the HOW: Older adults\u2019 processing of semantic and affective information in speech”, Radboud University, Nijmegen, the Netherlands, 2018.<\/li>\n
    70. Doctoral Thesis Examiner (Zweitgutachter), Florian Lingenfelser: “Event-driven Fusion for Multimodal Affect Recognition”, University of Augsburg, Augsburg, Germany, 2018.<\/li>\n
    71. Doctoral Thesis Examiner, Arie Nugraha: “R\u00e9seaux de neurones profonds pour la s\u00e9paration 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.<\/li>\n
    72. Doctoral Thesis Examiner,\u00a0Vladimir Gligorijevic: “Methods for Analysis and Integration of Heterogeneous Network Data”, Imperial College London, London, UK, 2017.<\/li>\n
    73. Doctoral Thesis Examiner, Braja Gopal Patra: “Music Mood Classification: A Multimodal Computational Approach”, Jadavpur University, Kolkata, India, 2017.<\/li>\n
    74. Doctoral Thesis Mid-term Examiner, Arie Nugraha: “Audio source separation by combining multichannel models and\u00a0deep neural networks”,\u00a0University of Lorraine, Nancy, France, 2016.<\/li>\n
    75. Doctoral Thesis Examiner, Siddarth Sigtia: “Neural Networks for Analysing Music and Environmental Audio”, Queen Mary University of London, London, UK, 2016.<\/li>\n
    76. Doctoral Thesis Examiner,\u00a0Ashley Daniel Gritzman: “Adaptive Threshold\u00a0Optimisation for Colour-based\u00a0Lip Segmentation in Automatic\u00a0Lip-Reading Systems”,\u00a0University of the Witwatersrand, Johannesburg, South Africa, 2016.<\/li>\n
    77. Doctoral Thesis Examiner (Zweitgutachter), Florian H\u00f6nig: “Automatic Assessment of Prosody in Second Language Learning”, Friedrich-Alexander-Universit\u00e4t, Erlangen-N\u00fcrnberg, Germany, 2016.<\/li>\n
    78. Doctoral Thesis Co-Examiner, Victor Tomashevich: “Fault Tolerance Aspects of Virtual Massive MIMO Systems”, University of Passau, Passau, Germany, 2016.<\/li>\n
    79. Doctoral Thesis Examinateur, J\u00e9r\u00e9mie Nicolle: “Reading Faces using Hard Multi-Task Metric Learning for Kernel Regression”, Universit\u00e9 Pierre et Marie Curie, Paris, France, 2016.<\/li>\n
    80. Doctoral Thesis Examiner, Lazaros Zafeiriou: “Unsupervised Analysis of Behaviour
      \nDynamics”, Imperial College London, London, UK, 2016.<\/li>\n
    81. Doctoral Thesis Examiner (Zweitgutachter), Johannes Wagner: “Social Signal Interpretation: Building Online Systems for Multi-modal Behaviour Analysis”, Augsburg University, Augsburg, Germany, 2015.<\/li>\n
    82. Doctoral Thesis Rapporteur, Fan Yang: “D\u00e9tection de marqueurs affectifs et attentionnels de personnes \u00e2g\u00e9es en interaction avec un robot”, Universit\u00e9 Paris-Saclay, Paris, France, 2015.<\/li>\n
    83. Doctoral Thesis Rapporteur, Baveye Yoann: “Automatic Prediction of Emotions Induced by Movies”, Ecole Centrale de Lyon\/Technicolor, Lyon, France, 2015.<\/li>\n
    84. Doctoral Thesis Internal Examiner, Michael (Mihalis) A. Nicolaou: “Machine Learning for Automatic Analysis of Affective Behaviour”, Imperial College London, London, UK, 2014.<\/li>\n
    85. Opponent PhD dissertation, Pasi Saari: “Content and Context-based Approaches to Prediction of Mood in Music”, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland, 2014.<\/li>\n
    86. Doctoral Thesis Pre-Reviewer, Jouni Pohjalainen: “Robust Feature Extraction of Speech”, Aalto University, Aalto, Finland, 2014.<\/li>\n
    87. Doctoral Thesis Internal Examiner, Jie Shen: “Synchronisation and integration of modules for audiovisual behaviour understanding”, Imperial College London, London, UK, 2014.<\/li>\n
    88. Doctoral Thesis Transfer Examiner, Christos Georgakis: “Visual detection of native\/non-native speakers”, Imperial College London, London, UK, 2014.<\/li>\n
    89. Doctoral Thesis Rapporteur, Cl\u00e9ment Chastagnol: “Reconnaissance automatique des dimensions affectives dans l\u2019interaction orale homme-machine pour des personnes d\u00e9pendantes”, Universit\u00e9 Paris 11, Paris, France, 2013.<\/li>\n
    90. Doctoral Thesis Examinateur, Gelareh Mohamed: “Automatic Personality Perception: Inferring Personality Traits from Nonverbal Vocal Behavior”, EPFL, Lausanne, Switzerland, 2013.<\/li>\n
    91. Doctoral Thesis Examiner (Zweitgutachter), Christian Plahl: “Neural Network based Feature Extraction for Speech and Image Recognition”, RWTH Aachen, Aachen, Germany, 2013.<\/li>\n
    92. PhD Thesis Examiner Seliz G\u00fclsen Karadogan: “Towards Cognizant Hearing Aids: Modeling of Content, Affect and Attention”, Technical University of Denmark, Lyngby, 2012.<\/li>\n
    93. PhD Thesis Rapporteur Christophe Vaudable: “Analyse et reconnaissance des \u00e9motions lors de conversations de centres d\u2019appels”, Universit\u00e9 Paris 11, Paris, France, 2012.<\/li>\n
    94. PhD Thesis Examinator Tet Fei Yap: “Speech production under cognitive load: Effects and classification”, University of New South Wales, Australia, 2011.<\/li>\n
    95. PhD Thesis Examinateur Thibaud Senechal: “Ce que le visage r\u00e9v\u00e8le : Analyse des mouvements faciaux pour l\u2019interpr\u00e9tation \u00e9motionnelle”, Universit\u00e9 Pierre et Marie Curie \u2013 Paris 6, Paris, France, 2011.<\/li>\n
    96. PhD Thesis Examinateur Fabien Ringeval: “Ancrages et mod\u00e8les dynamiques de la prosodie : application \u00e0 la reconnaissance des \u00e9motions act\u00e9es et spontan\u00e9es”, Universit\u00e9 Pierre et Marie Curie \u2013 Paris 6, Paris, France, 2011.<\/li>\n
    97. 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.<\/li>\n
    98. PhD Thesis Examinator Julia Sidorova: “Optimization Techniques for Speech Emotion Recognition”, Department of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain, 2009.<\/li>\n<\/ol>\n

      Master’s and Bachelor’s Theses 2nd Marker<\/h4>\n
        \n
      1. Ben Thompson (2nd Marker, Undergraduate Individual Project, Imperial College London, 06\/2014): Secure Online Coding Platform<\/li>\n
      2. Cl\u00e9ment Jambou (2nd Marker, MSc Individual Project, Imperial College London, 09\/2014): Generating Music with Recurrent Neural Networks and other deep learning techniques<\/li>\n
      3. Georgios Papamakarios (2nd Marker, MSc Individual Project, Imperial College London, 09\/2014): Robust Low-Rank Modelling on Matrices and Tensors<\/li>\n
      4. Cai Wenyang (2nd Marker, MSc Individual Project, Imperial College London, 09\/2014): Detect eating and talking from webcam videos<\/li>\n
      5. Liu Zhuolin (2nd Marker, MSc Individual Project, Imperial College London, 09\/2014): Face Liveness Recognition<\/li>\n
      6. Vincent Zhang (2nd Marker, Individual Project MSc, Imperial College London, 05\/2015): Deep Learning for Facial Expression Analysis<\/li>\n
      7. Lingyu Lu (2nd Marker, Individual Project MSc, Imperial College London, 05\/2015): Application on unstructured big data platform<\/li>\n
      8. Ian Billett (2nd Marker, Individual Project MSc, Imperial College London, 05\/2015): Exploring the Networks of Academic Literature<\/li>\n
      9. Dimitrios Kollias (2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0An End-to-End Deep Neural Architecture for Dimensional Emotion Recognition<\/li>\n
      10. Ye Zhou\u00a0(2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Data Mining for Chinese Left-behind Children Problem<\/li>\n
      11. Michael Arcangeles (2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Automated Lip-reading in the Wild<\/li>\n
      12. Zukang Liao (2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Deep Neural Networks for Age and Gender Classification<\/li>\n
      13. Jie Pu\u00a0(2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Audio-associated visual object detection and segmentation using low rank and sparsity.<\/li>\n
      14. Feipeng Cai\u00a0(2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Unsupervised Learning of Video Representations Using Recurrent Neural Networks<\/li>\n
      15. Rajkumar Conjeevaram Mohan\u00a0(2nd Marker, Individual Project MSc, Imperial College London, 09\/2016):\u00a0Speech Recognition using Deep Learning<\/li>\n
      16. Liu, Zichen (2nd marker, Undergraduate Individual Project, Imperial College London, 06\/2017): Machine Learning For Filtering Monte Carlo Noise In Ray Traced Images<\/li>\n
      17. G\u00f6kce Iymen (Master’s Thesis Examiner, Koc University, Istanbul, Turkey, 2022): Intelligible Emotional Voice Conversion with StarGAN assisted by DTW and Speaker Classifier<\/li>\n<\/ol>\n

        \"Ready.\"<\/p>\n","protected":false},"excerpt":{"rendered":"

        Habilitation\u00a0Examiner Habilitation Thesis Rapporteur, Nicolas Obin: “De la repr\u00e9sentation du signal \u00e0 l’apprentissage de repr\u00e9sentations: Mod\u00e9lisation structur\u00e9e de signaux de parole”, IRCAM, Paris, France, 2023. Habilitation Thesis Examiner, Patrick Krauss: “Language Processing in Artificial Neural Networks and the Human Brain”, FAU, Erlangen-Nuremberg, Germany, 2022. Habilitation Thesis Examiner, J\u00f6rn Anem\u00fcller: “On\u2026<\/p>\n

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