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Kiavash Bahreini

  • Postdoctoral Researcher
  • Postdoctoral Researcher in Emotion Recognition and Data Analytics at Welten Institute
  • Open University of The Netherlands
  • 3h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 31CitationsNumber of citations received by Kiavash's publications. Updated daily.

Other IDs

Research interests

- Emotion Detection - Facial Expressions - Voice Intonations - Lifelong Learning - Communication Skills - OpenCV

About

Doctor Kiavash Bahreini received his Ph.D. in the field of computer science, data analysis, and machine learning from Open University of the Netherlands in 2015. During his Ph.D., he focused on research and development of real-time multimodal emotion recognition in e-learning environments. His Ph.D. dissertation is about technology development for emotion recognition in an e-learning context. It addresses the particular challenge of real-time emotion recognition. In addition, it aims for improving the accuracy, reliability, and validity of emotion recognition. The emotion recognition mechanisms developed in his dissertation are based on the capturing and processing of facial expressions and vocal intonations. After describing the face emotion recognition and the voice emotion recognition as separate (so-called unimodal) methods in his dissertation, he presents the results of combining the face emotion recognition and the voice emotion recognition into an integrated multimodal approach using machine learning techniques. Doctor Bahreini applied different approaches in data mining, machine learning, deep learning, and statistical data analysis in his Ph.D. research and developed different real-time software applications for emotion recognition from facial and vocal expressions.

Co-authors (23)

Publications (18)

Communication skills training exploiting multimodal emotion recognition

  • Bahreini K
  • Nadolski R
  • Westera W
Interactive Learning Environments (2016)
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Software components for serious game development

  • Westera W
  • van der Vegt W
  • Bahreini K
Proceedings of the European Conference on Games-based Learning (2016)
  • n/a

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  • 0

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The RAGE software asset model and metadata model

  • Georgiev A
  • Grigorov A
  • Bontchev B
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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  • 1

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Improved multimodal emotion recognition for better game-based learning

  • Bahreini K
  • Nadolski R
  • Westera W
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015)
  • n/a

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FILTWAM-a framework for online game-based communication skills training-using webcams and microphones for enhancing learner support

  • Bahreini K
  • Nadolski R
  • Qi W
Proceedings of the European Conference on Games-based Learning (2012)
  • n/a

    Readers

  • 7

    Citations

Professional experience

Postdoctoral Researcher in Emotion Recognition and Data Analytics at Welten Institute

Open Universiteit

December 2015 - Present

Education history

PhD

Open Universiteit

July 2011 - November 2015(4 years)