Recent Publications:

Apicella, A., Arpaia, P., Barbato, S., D’Errico, G., Mastrati, G., Moccaldi, N.,Wriessnegger, S. C. (2024). Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG. Information Systems Frontiers, 1-16.

Zentner, S., Barradas Chacon, A., & Wriessnegger, S. C. (2024). The Impact of Light Conditions on Neural Affect Classification: A Deep Learning Approach. Machine Learning and Knowledge Extraction, 6(1), 199-214.

R Riedl, K Kostoglou, SC Wriessnegger, GR Müller-Putz (2023). Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG). Scientific Reports 13 (1), 18371.  

Other News:

Invited plenary speaker at the 5th International Neuroergonomics Conference (July 8-12, 2024, in Bordeaux, France) 

Selina Christin Wriessnegger is Associate Professor at the Institute of Neural Engineering (BCI-Lab), Graz University of Technology, Austria. From 2001 to 2005 she was PhD student at the Max-Planck-Institute for Human Cognitive and Brain Sciences and received her PhD from the Ludwig-Maximilians University (Munich). During that time she spent one year in Rome as research assistant at IRCCS (Fondazione Santa Lucia), Laboratory for Human Psychophysiology (Prof. Laquaniti, Dr. Daprati). From 2005 to 2008 she was University Assistant at the Karl-Franzens-University Graz, Section Neuropsychology (Prof. Neuper). From 2009 until May 2016 she was senior researcher at the Institute of Neural Engineering (BCI-Lab). From 2016 until 2020 she was Assistant Professor at the Institute of Neural Engineering and her habilitation was in 2020 at TUG.  In 2017 she was visiting professor at SISSA (Scuola Internazionale Superiore di Studi Avanzati), Trieste and in 2019 she was guest professor at the University of Padua. Her research interests are, neural correlates of covert actions, sports motor imagery, novel applications of BCIs for healthy users, passive BCIs, intelligent neuroadaptive (tutoring) systems, VR/AR applications in learning and rehabilitation.