Heysem Kaya completed his PhD thesis on computational paralinguistics and multimodal affective computing at Computer Engineering Department, Boğaziçi University in 2015. His works won four Computational Paralinguistics Challenge (ComParE) Awards at INTERSPEECH conferences between 2014 and 2017; as well as three ChaLearn Challenge Awards on video-based personality trait recognition (ICPR 2016) and explainable computer vision & job candidate screening (CVPR 2017) coopetitions. His team was the first runner up in video-based emotion recognition in the wild challenge (EmotiW 2015 at ICMI). His research interests include mixture model selection, speech processing, computational paralinguistics, affective computing. He is a member of ACM, ISCA, IEEE and AAAC. He serves in editorial board of SPIIRAS Proceedings, as well as reviewer in more than 20 journals including IEEE Trans. on Affective Computing, IEEE Trans. on Neural Networks and Learning Systems, Computer Speech and Language, Neurocomputing, Expert Systems with Applications, Digital Signal Processing and Signal Processing Letters. Since 2015 he served in technical committees of international conferences including INTERSPEECH, ACII, SPECOM, ICMI and ICASSP. He is also the in the organizing team of special session series entitled "Ambient Intelligence and Social Signal Processing" held at the largest IEEE venue in Turkey, namely Signal Processing and Applications (SIU) conferences.