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Heysem Kaya completed his PhD in computational paralinguistics at Bogaziçi University in 2015. Currently, he is an assistant professor affiliated with the Social Affective Computing research group at Utrecht University's Department of Information and Computing Sciences. He has published over 100 papers with approximately 3,000 citations and an h-index of 31. His contributions have been recognized through six wins at the Computational Paralinguistics Challenge at INTERSPEECH conferences from 2014 to 2020, and awards for his work in video-based personality trait recognition and explainable computer vision. His research interests encompass mixture model selection, speech processing, computational paralinguistics, and affective computing. Additionally, Kaya serves on the editorial board of four journals dedicated to affective computing and has reviewed for more than 30 scholarly journals, including IEEE Transactions on Affective Computing, Neural Networks and Learning Systems, and Digital Signal Processing.
Utrecht University • Utrecht
Affiliated with the Social Affective Computing research group.
Department of Psychology