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Dominika Kunc

PhD Student

Dominika Kunc
Data SciencePsychophysiologyAffective Computing

Research groups

Dominika received the Eng. degree in Computer Science in 2020 and the M.Sc. degree in Computer Science, specialization in Data Science in 2021, both from Wrocław University of Science and Technology (WUST), Poland. She was one of the Top 10 Computer Science and Management faculty graduates in 2021. She is a Ph.D. student in computer science at WUST currently working with the Emognition research team. Her research interests include affective computing, physiological signals, and machine learning.

Education

2020

Eng. in Computer Science, Faculty of Fundamental Problems of Technology

Wrocław University of Science and Technology

2021

M. Sc. in Computer Science, specialization Data Science, Faculty of Computer Science and Management

Wrocław University of Science and Technology

Publications(18)

Using artificial intelligence to generate affective images: methodology and initial library

Maciej Behnke, Dominika Kunc, Stanisław Saganowski, Maciej Kłoskowski, Michał Klichowski, Wadim Krzyżaniak, Kacper Szymański, Patryk Maciejewski, Patrycja Chwiłkowska, Marta Kowal, Rafał Jończyk, Jan Nowak, Szymon Kupiński, Aakash A Chowkase, Farida Guemaz, Kevin S Kertechian, Ameer I. M. T Maadal, Leonardo A Aguilar, Barnabas T Alayande, Vimala Balakrishnan, Dana M Basnight-Brown, Jordane Boudesseul, Jovi C Dacanay, Abhishek Dedhe, Shan Gao, Joao F. G. B Takayanagi, Md. Rohmotul Islam, Alvaro Mailhos, Christine M Mpyangu, Moises Mebarak, Arooj Najmussaqib, Ju Hee Park, Ekaterine Pirtskhalava, Eli Rice, Sohrab Sami, Yuki Yamada, Jan Baczyński, Lilianna Dera, Szymon Jęśko-Białek, Jakub Łączkowski, Hubert Marciniak, Filip Nowicki, Bartosz Wilczek, James J Gross, Nicholas A Coles

Advances in Methods and Practices in Psychological Science 2026 vol. 9, nr 1, s. 1-28.

DOILink
2026