Carina Walter

Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard Institut für Informatik
Lehrstuhl Technische Informatik

72076 Tübingen

E-Mail: walterca

Kontakt-Formular

Research Interest

As a computer scientist, my research is focused on developing innovative technologies in the area of artificial intelligence to support individuals in their daily life. My aim is to bridge the gap between cognitive and social psychology, neuroscience as well as computer science. In my PhD project I am studying the functionality of passive Brain Computer Interfaces (BCI) in order to develop adaptive learning environments, which are able to adjust to the individual mental states of each learner using EEG - signals. This project will assist students with and without learning disabilities to increase their learning success.

My three major research interests are machine learning algorithms, signal processing and data analysis based on electroencephalography (EEG) - signals.

Curriculum Vitae

  • Since 10/2012 Doctoral Student at the LEAD Graduate School

  • Since 08/2010 Research Fellow at the Department of Computer Engineering, University of Tübingen, Germany

  • 09/2010-12/2010 and 10/2011-12/2011 Research Assistant at the Department of Computer Engineering, Universität Leipzig, Germany

  • 02/2010-07/2010 Diploma thesis ‘Detecting a quantitative measurement of learning in the electroencephalogram’ at the Department of Computer Engineering, University of Tübingen Germany – in collaboration with the Knowledge Media Research Center, Tübingen, Germany

  • 08/2008-02/2009 Student research project ‘Artefact removal in EEG recordings during real time monitoring for epilepsy detection‘ at the Department of Computer Engineering, University of Tübingen,  Germany - in collaboration with the Department of Neurosurgery at the University Hospital Tübingen, Germany

  • 10/2004-08/2010 Student in Computer Science (major: Bioinformatics; minor: Neurobiology)  (University of Tübingen)

Publikationen

 Alle Publikationen im BibTex-Format

    2014

      September 2014
      • C.Walter, P. Wolter, W. Rosenstiel, M. Bogdan, M. Spüler
           Towards Cross-Subject Workload Prediction.
        Proceedings of the 6th International Brain-Computer Interface Conference , Graz, Austria
      Juli 2014
      • C. Walter, C. Scharinger, W. Rosenstiel, P. Gerjets, M. Bogdan
         Adaptive Learning Environments based on passive BCI Methodology
        Passive BCI Community Meeting, Delmenhorst, Germany. (Project Presentation)
      • C. Walter, P. Gerjets, W. Rosenstiel, M. Bogdan
         Adaptive Learning Environments using Cross-Subject Classification
        "Culture & Technology" - 5th European Summer School in Digital Humanities, Leipzig, Germany (Project Presentation)

      2013

        September 2013
        • C. Walter, S. Schmidt, W. Rosenstiel, P. Gerjets, M. Bogdan
           Using Cross-Task Classification for Classifying Workload Levels in Complex Learning Tasks.
          Proceedings of the 5th IEEE Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013). , p.876-881, Geneva, Switzerland
        Juni 2013
        • C. Walter, S. Schmidt, W. Rosenstiel, M. Bogdan, P. Gerjets
           Alpha- and theta frequencies as indicators for optimal cognitive load during learning.
          6th International Cognitive Load Theory Conference., Toulouse, France.

        2012

          September 2012
          • C. Walter, A.-A. Pape, W. Rosenstiel, P. Gerjets, M. Bogdan
             Detecting Working Memory Load from EEG-Data during learning and solving complex tasks.
            BBCI Workshop 2012 on Advances in Neurotechnology, Berlin, Germany.
          • C. Scharinger, G. Cierniak, C. Walter, T. O. Zander, P. Gerjets
             Same, same, but different: EEG correlates of n-back and span working memory tasks.
            48. Kongress der Deutschen Gesellschaft für Psychologie, Bielefeld, Germany
          • C. Walter, G. Cierniak, W. Rosenstiel, M. Bogdan, T. O. Zander, P. Gerjets
             Using Passive Brain-Computer Interfaces for cognitive workload assessment
            48. Kongress der Deutschen Gesellschaft für Psychologie, Bielefeld, Germany.
          Juli 2012
          • C. Walter, P. Gerjets, W. Rosenstiel, M. Bogdan
             Adaptive Learning Environments based on BCI Methodology
            "Culture & Technology" - 3rd European Summer School in Digital Humanities, Leipzig, Germany (Project Presentation)
          Mai 2012
          • C. Scharinger, G. Cierniak, C. Walter, T. Zander, P. Gerjets
             Measuring cognitive Load by means of EEG-data - how detailed is the picture we can get?
            Meeting of the EARLI SIG 22 Neuroscience and Education, London, Great Britain.

          2011

            Oktober 2011
            • C. Walter, G. Cierniak, P. Gerjets, W. Rosenstiel, M. Bogdan
               Detecting cognitive workload using EEG-signals for developing computer-based adaptive learning environments.
              12th Conference of Junior Neuroscientists of Tübingen, Heiligkreuztal, Germany
            September 2011
            • G. Cierniak, P. Gerjets, C. Walter, M. Bogdan, W. Rosenstiel
               Detecting Cognitive Load Levels by Means of Brain-Computer-Interface Methodology.
              14th Biennial Conference of the European Association for Research on Learning and Instruction (EARLI). Exeter, UK.
            April 2011
            • C. Walter, G. Cierniak, P. Gerjets, W. Rosenstiel, M. Bogdan
               Classifying mental states with machine learning algorithms using alpha activity decline
              Proceedings of 19th European Symposium on Artificial Neural Networks (ESANN 2011), p.405-410, Bruges, Belgium

            2010

            • C. Walter, G. Cierniak, M. Bogdan, W. Rosenstiel, P. Gerjets
               Load-Adaptive Tutor Systems Based on Brain-Computer Interfaces
              4th International Cognitive Load Theory Conference (2010),Hong Kong and Macau, China.