Razieh Khamsehahsari received her master’s degree in Artificial Intelligence from Isfahan University of Technology with a thesis on “Object Retrieval and Recognition of Digital Images Based on Brain Computer Interface and Computer Vision”. She has also a Bachelor's degree in Software Engineering. Studying in a multidisciplinary environment has provided her with a strong background in various areas, including BCI, cognitive computational neuroscience, signal processing and computer vision. Razieh has worked as a research assistant in the Quality and Usability Lab since April 2022 while pursuing her Ph.D. She is working on deep learning based speech processing applications and her main research interests are deep multi-modal learning and machine learning models.