Ivana Konvalinka

Associate Professor

Ivana Konvalinka

Department of Applied Mathematics and Computer Science

Richard Petersens Plads

Building 321 Room 107

2800 Kgs. Lyngby



Ivana Konvalinka


machine learning two-person neuroscience physiological coupling social cognition dual EEG

Ivana Konvalinka works in the field of social neuroscience. Her research investigates intra- and inter-personal mechanisms underlying mutual social interaction at a behavioural, neural, and physiological level. She works on developing joint action paradigms and multivariate methods for quantifying two-person processes. In particular, she is interested in i) how people coordinate their actions in real time, ii) what neurophysiological mechanisms underlie mutual interaction, particularly how simultaneous brain recordings (i.e. dual EEG) can help better understand the neural basis of social interaction, and iii) the mechanism by which people's physiological (i.e. cardiac) signals couple together during action coordination and action observation.