Josef Scharinger

Josef Scharinger is an Associate Professor at the Institute of Computational Perception, Johannes Kepler University Linz. His research spans interdisciplinary fields including Brain-Computer Interfaces (BCI), Neural Engineering, Deep Learning, and Medical Imaging, with a focus on enhancing rehabilitation technologies and biomedical imaging techniques.

• Key Research Areas: Neuroscience, Biomedical Engineering, Artificial Intelligence, and Cryptography

Recent publications highlight his work on cortical excitability during BCI-enabled stroke rehabilitation, deep learning applications in veterinary oncology, and optimization of MRI analysis tools. His interdisciplinary approach integrates evolutionary algorithms with medical imaging and prognostic modeling. While no explicit awards are mentioned, his extensive publication record (80 outputs) and active conference participation since 2005 underscore his academic contributions. His teaching and mentorship roles are implied through supervision of 31 works, though specific student names are not provided.