After finishing technical academical high school Robert-Bosch-School Ulm in 2001 as best graduate in the subject technoligy i started to study electrical engineering at the University of Ulm. 2003 i switched to Computer Science, which i finished in 2011 with my diploma thesis "Audio-Visual information fusion for person identification in human computer interaction scenarios". During my Sudies i work self-employed as Computer Teacher, Computer Consultant and Event Technician. In summer 2011 i started working at the institute for information processing as academic employee on multi modal emotion recognition in human computer interaction scenarios. In 2019 finished my PhD thesis "computer based emotion recognition in human machine interaction scenarios" and received my doctorate. 

• Artificial Intelligence 
• Machine learning
• Pattern recognition
• Deep Neuronal Networks
• Partially Supervised Learning
• (semi-) automatic annotation / aktive learning

• Member of the Transregional Collaborative Research Project (SFB-TRR62)
  „A Companion-Technology for Cognitive Technical Systems“
  
• Doctoral Speaker of the integrated Graduate School of the SFB-TRR62

• Heiko Oppel Active learning in affective computing utilizing deep neuronal networks, master thesis, 07/2019
• Venkatesh Srinivasan Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers, master thesis, 12/2018 
• Patrick Kaiser Machine Learning Classifiers in the Analysis of Button Press Dynamics and fMRI Data in an Auditive Learning Experiment, master thesis, 03/2018
• Stefan Gödecke Visualization and (explorative) Analysis of non-invasive Measurements in an Auditory Learning Experiment, master thesis, 01/2018
• Julien Vincenot-Gassmann Maschinelle Lernverfahren zur Erkennung kognitiver Belastungen anhand mimischer Expression, master thesis, 09/2017
• Sabine Wieluch Multimodal Active Learning in Affective Computing, master thesis, 01/2017
• Dennis Held Bimodal recognition of affective states utilizing ensemble methods on speech and physiological signals, master thesis, 07/2016
• Florian Paust Recognition of Cognitive Load in Speech, bachelor thesis, 07/2016
• Daniel Kindsvater Fusion architectures for multimodal affect recognition under real time conditions, master thesis, 05/2016
• Christian Speck Development of personalized multi classifier systems, master thesis, 05/2016
• Heinke Hihn Inferring Affective State from Postural Behaviour and Gestures with Ensemble Methods, master thesis, 04/2016
• Mehmet Erdal Emotion recognition in spooken language utilizing Deep Learning Architectures, master thesis, 07/2015
• Viktor Kessler Videobased ECG-Signal estimation, master thesis, 03/2015
• Vera Müller Ensemblemethods in clusteranalyses of multi-instance applications for creation of userprofiles, master thesis, 08/2014
• Patrick Thiam Novelty Detection in a HCI Scenario utilizing Active Learning Algorithms, master thesis, 07/2014
• Thomas Reckow Deep Learning Architectures for Audio-Visual Emotion Recognition, master thesis, 05/2014
• Andrej Schwarz Audio-visual Personidentification, diploma thesis, 03/2014
• Josef Frick Emotionrecognition in speech using neuronal networks, master thesis, 03/2014
• Robert Retz Active Multi-Instance Multi-Label Learning, master thesis, 03/2014
• Dimitry Zharkov Analysis and Fusion of Voice Quality Features for Automatic Emotion Recognition, master thesis, 10/2013
• Manuel Meder Speaker clustering and classification from speech, master thesis, 07/2013
• Robert Böser Partially supervised learning for emotion recognition in speech, master thesis, 09/2012
• Igor Arndt Active learning algorithms in multi classifier systems for emotion recognition, master thesis, 07/2012
   
• Individual practical course: ATLAS (2013/2014)
• Practical course: Neuroinformatics - Speakeridentification (2010-2013)

• AI CON 2018, Bosch Center for Artificial Intelligence, Renningen (Germany), October 2018
   
• MakerCon 2017, from Maker to Market, Heidelberg (Germany), February 2017
   
• Nvidia Deep Learning HPC event, Munich (Germany), February 2017
   
• Pain Face Day, Challenges of Automatic Pain Recognition, Erlangen (Germany), January 2017
   
• 23rd IAPR International Conference on Pattern Recognition (ICPR 2016) and 4th International Workshop on Multimodal Pattern Recognition of Social Signals in human computer interaction (MPRSS 2016), Cancun (Mexico), December 2016
   
• 18th ACM International Conference on Multimodal Interaction (ICMI 2016) and 2nd International Workshop on Emotion Representations and Modelling for Companion Systems (ERM4CT 2016), Tokyo (Japan), November 2016
   
• 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR'16), Ulm (Germany), September 2016
   
• 2015 IEEE Symposium Series on Computational Intelligence (SSCI 2015) and 2015 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2015), Cape Town (South Afrika), December 2015
   

• 12th International Workshop on Multiple Classifier Systems (MCS 2015), Günzburg (Germany), June 2015

• 16th ACM International Conference on Multimodal Interaction (ICMI 2014) and 2nd Emotion Recognition in the Wild Challenge and Workshop (EmotiW 2014) and 2nd International Workshop on Emotion Representations and Modelling for HCI Systems (ERM4HCI 2014), Istanbul (Turkey), November 2014

• 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR'14), Montreal (Canada), October 2014

• 2nd European Conference on Data Analysis (ECDA 2014), Bremen (Germany), July 2014

• International Research Stay at the Vision and Sensing Research Group at the Faculty of Education, Science, Technology and Mathematics at the University of Canberra, Canberra (Australia), December 2013

• 15th ACM International Conference on Multimodal Interaction (ICMI 2013) and 1st Emotion Recognition in the Wild Challenge and Workshop (EmotiW 2013), Sydney (Australia), December 2013

• 13th International Conference on Intelligent Virtual Agents (IVA 2013) and 1st International Workshop on Techniques Towards Companion Technologies (T2CT 2013), Edinburgh (Scotland - UK), August 2013

• 1st interdisciplinary meeting for the study of pain of the Federal University of Uberlândia (ENID-UFU 2013), Uberlândia (Brazil), July 2013

• 45th Workshop on Statistical Computing, Castle Reisensburg, Günzburg (Germany) June 2013

• IEEE International Conference on Cybernetics (CYBCONF 2013) and 2nd International Workshop on Multimodal pattern recognition of social signals in human computer interaction (MPRSS 2013), Lausanne (Switzerland), June 2013

• IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe (Germany), May 2013

• 5th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR'12), Trento (Italy), September 2012

• International Conference on Affective and Pleasurable Design (APD'12) [Jointly with the 4th International Conference on Applied Human Factors and Ergonomics (AHFE'12)], San Francisco (CA - USA), July 2012

• IAPR TC3 Workshop on Partially Supervised Learning (PSL 2011), Ulm (Germany), September 2011

• S. Meudt: "Maschinelle Emotionserkennung in der Mensch-Maschine Interaktion." 2019
   
• V. Srinivasan, S. Meudt, F. Schwenker: "Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers." In: IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction (MPRSS), 2018, pp. 59-70
   
• P. Thiam, S. Meudt, G. Palm, and F. Schwenker: "A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection" In: Neural Processing Letters, 2017, DOI: 10.1007/s11063–017–9719–y , ISSN: 1573–773X
   
• D. Kindsvater, S. Meudt and F. Schwenker "Fusion Architectures for Multimodal Cognitive Load Recognition" in Proceedings of the 4th International Workshop on Multimodal pattern recognition of social signals in human computer interaction (MPRSS'16), 2016, pp. 1-8
   
• D. Held, S. Meudt and F. Schwenker "Bimodal recognition of Cognitive Load based on Speech and Physiological changes" in Proceedings of the 4th International Workshop on Multimodal pattern recognition of social signals in human computer interaction (MPRSS'16), 2017, pp. 1-8 
   
• H. Hihn, S. Meudt and F. Schwenker "Inferring mental overload based on postural behavior and gestures", in Proceedings of the 2nd workshop on Emotion Representation and Modeling for Companion Systems (ERM4CT'16), 2016, pp. 1-4
   
• P. Thiam, S. Meudt, F. Schwenker and G.Palm "Active Learning for Speech Event Detection in HCI", in Proceedings of Artificial Neural Networks in Pattern Recognition (ANNPR'16), 2016, pp. 285-297
   
• H. Hihn, S. Meudt and F. Schwenker "On Gesture and Postural Behavior as a Modality in Ensamble Methods", in Proceedings of Artificial Neural Networks in Pattern Recognition (ANNPR'16), 2016, pp. 312-323
   
• V. Kessler, M. Kächele, S. Meudt, F. Schwenker and G.Palm "Machine Learning Driveb Heart Rate Detection with Camera Photoplethysmography in Time Domain", in Proceedings of Artificial Neural Networks in Pattern Recognition (ANNPR'16), 2016, pp. 324-334
   
• M. Valena, S. Gruss, G. Layher, P. Thiam, Y. Zhang, D. Schork, V. Kessler, S. Meudt, H. Neumann, J. Kim, F. Schwenker, E. Andre, H. C. Traue, S. Walter "The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain and Emotion-Recognition System." in Proceedings of Artificial Neural Networks in Pattern Recognition (ANNPR'16), 2016, pp. 127-139
   
• S. Meudt, M. Schmidt-Wack, F. Honold, F. Schüssel, M. Weber, F. Schwenker and G. Palm "Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction", in Toward Robotic Socially Believable Behaving Systems: Modeling Emotions -- Volume I , 2016, pp.73-103, ISBN: 978-3-319-31055-8, doi 10.1007/978-3-319-31056-5_6

• M. Kächele, M. Schels, S. Meudt, G. Palm, and F. Schwenker "Revisiting the EmotiW challenge: how wild is it really?", in Journal on Multimodal User Interfaces , 2016, pp.1-12

• F. Schwenker, R. Böck, M. Schels, S. Meudt, I. Siegert, M. Glodek, M. Kächele, M. Schmidt-Wack, P. Thiam, A. Wendemuth, G. Krell"Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion Systems", in Companion Technology, 2016

• S. Meudt, I. Siegert, F. Schüssel, M. Schmidt, S. Reuter, G. Layher, G. Krell, T. Hörnle, S. Handrich, A. Al-Hamadi, K. Dietmayer, H. Neumann, G. Palm, F. Schwenker, A. Wendemuth "Multi-Modal Information Processing in Companion Systems—A Ticket Purchase System", in Companion Technology, 2016

• I. Siegert, S. Reuther, F. Schüssel, G. Layher, T. Hörnle, S. Meudt, A. Wendemuth "Multimodal Information Processing: The Ticket Purchase - a Demonstration Scenario of the SFB/TRR-62", in Elektronische Sprachsignalverarbeitung 2016, 2016, pp.111-118

• S. Meudt and F. Schwenker "ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios", in Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015, pp.181-186

• M. Kächele, M. Schels, S. Meudt, V. Kessler, M. Glodek, P. Thiam, S. Tschechne, G. Palm, and F. Schwenker "On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction.", in Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction, Lecture Notes in Computer Science, 2015, pp.35-44

• P. Thiam, S. Meudt, M. Kächele and F. Schwenker, "Detection of Emotional Events Utilizing Support Vector Methods in an Active Learning HCI Scenario", in Proceedings of the 2014 Workshop on Emotion Representation and Modeling in Human Computer Interaction Systems (ERM4HCI'14), 2014, pp.31-36, ISBN: 978-1-4503-0124-4, doi 10.1145/2668056.2668062

• S. Meudt and F. Schwenker, "Enhanced Autocorrelation in Real World Emotion Recognition", in Proceedings of the 16th International conference on multimodal interaction (ICMI'14), 2014, pp.502-507, ISBN: 978-1-4503-2885-2, doi 10.1145/2663204.2666276

• F. Schwenker, M. Frey, M. Glodek, M. Kächele, S. Meudt, M. Schels, and M. Schmidt, "A new multi-class fuzzy support vector machine algorithm.", in Proceedings of Artificial Neural Networks in Pattern Recognition (ANNPR'14), 2014, pp. 153-164

• M. Kächele, M. Schels, S. Meudt, V. Kessler, M. Glodek, P. Thiam, S. Tschechne, G. Palm and F. Schwenker, "On Annotation and Evaluation of Multi-Modal Corpora in Affective Human-Computer Interaction.", in Proceedings of Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA3HMI'14), 2014

• M. Kächele, M. Glodek, D. Zharkov, S. Meudt and F. Schwenker, "Fusion of audio-visual features using hierarchical classifier systemsfor the recognition of affective states and the state of depression", in Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2014

• S. Meudt, D. Zharkov, M. Kächele and F. Schwenker, "Multi Classifier Systems and Forward Backward Feature Selection Algorithms to Classify Emotional Coloured Speech", in Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI'13), 2013, pp. 551-556, ISBN: 978-1-4503-2129-7, doi 10.1145/2522848.2531743

• D. Zharkov, M. Kächele, S.Meudt, and F. Schwenker, "A long-term stopping criterion for the forward-backward feature selection algorithm for the classification of emotions in speech", in Joint Proceedings of the 2013th T2CT and CCGL Workshops at IVA 2013, Edinburgh, UK, 2013, pp. 25-33. ISBN: 978­3­940961­99­0

• M. Frey, M. Schels, M. Glodek, S. Meudt, M. Kächele and F. Schwenker, "Investigation of fuzzy support vector machines", in Proceedings of the Statistical Computing 2013, Castle Reisensburg, Günzburg, Germany, 2013, pp. 17-17.

• S. Meudt, M. Glodek, M. Schels and F. Schwenker, "Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario", in Proceedings of IEEE International Conference on Cybernetics (CybConf'13), Lausanne, Switzerland, 2013

• M. Schels, M. Glodek, S. Meudt, S. Scherer, M. Schmidt, G. Layher, S. Tschechne, T. Brosch, D. Hrabal, S. Walter, H. Traue, G. Palm, H. Neumann and F. Schwenker, "Multi-modal classifier-fusion for the recognition of emotions", in Coverbal Synchrony in Human-Machine Interaction, 1st ed., M. Rojc and N. Campbell, Eds. CRC Press, 2013, pp. 73-98.

• S. Meudt and F. Schwenker, "On instance selection in audio based emotion recognition", in Proceedings of the 5th IAPR TC3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'12), Trento, Italy, 2012, pp. 186-192.

• S. Meudt, L. Bigalke and F. Schwenker, "ATLAS – an annotation tool for HCI data utilizing machine learning methods", in Proceedings of the 1st International Conference on Affective and Pleasurable Design (APD'12) [Jointly with the 4th International Conference on Applied Human Factors and Ergonomics (AHFE'12)], 2012, pp. 5347-5352.

• S. Meudt, L. Bigalke and F. Schwenker, "ATLAS - annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios", in Proceedings of the 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA'12), 2012, pp. 1309-1312.

• M. Schels, M. Glodek, S. Meudt, M. Schmidt, D. Hrabal, R. Böck, S. Walter and F. Schwenker, "Multi-modal classifier-fusion for the classification of emotional states in WOZ scenarios", in Proceedings of the 1st International Conference on Affective and Pleasurable Design (APD'12) [Jointly with the 4th International Conference on Applied Human Factors and Ergonomics (AHFE'12)], 2012, pp. 5337-5346.

• F. Schwenker and S. Meudt, "On instance selection in multiple classifier systems", in Proceedings of the 36th Annual Conference of the German Classification Society (GfKl'12), Hildesheim, Germany, 2012, pp. 50.

• S. Scherer, I. Siegert, L. Bigalke and S. Meudt, "Developing an expressive speech labeling tool incorporating the temporal characteristics of emotion", in Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), 2010, pp. 1172-1175.