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.