Demet Yeşilbaş is a dedicated PhD candidate in Biomedical Engineering at Erciyes University, Turkey. With a robust educational background and hands-on experience in neuroscience, particularly focusing on Internet Gaming Disorder, she excels in the recording and processing of EEG and fNIRS data. Demet has contributed to significant research projects, including multimodal analysis of brain functions in young adults with internet game addiction and the evaluation of daily internet usage effects on cognitive tasks. She has also honed her skills in machine learning during her Erasmus internship at WWU Münster. Proficient in MATLAB and various neuroscience toolboxes, Demet aims to further her contributions to the field of biomedical engineering and neuroscience.

Demet Yeşilbaş’s research interests are deeply rooted in neuroscience, with a particular focus on Internet Gaming Disorder. She specializes in using advanced techniques such as EEG (Electroencephalography) and fNIRS (Functional Near-Infrared Spectroscopy) to explore brain functions. Her work with event-related potentials has furthered the understanding of cognitive processes in individuals with varying internet usage patterns. Additionally, Demet employs machine learning and deep learning methodologies to analyze complex neurological data, aiming to develop innovative solutions and insights into mental health and cognitive behavior. Her multidisciplinary approach integrates cutting-edge technology with neuroscience, contributing significantly to the field.