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My band: Beirut 66!
Palestinian-Arabic, Hebrew, English, French
Robert-Mayer-Straße 12
60325 Frankfurt am Main, DE
Tweets by SariSabaSadiya
About
I am a Post-Doctoral researcher with the Frankfurt Institute of Advanced Studies (FIAS). Currently, I am a member of Gemma Roig's Computational Vision & AI lab, I am also affiliated with Radoslaw Cichy's Neural Dynamics of Visual Cognition lab.
Previously I completed a dual Ph.D in Computer Science under Dr Mohammad Ghassemi, and Cognitive Neuroscience under Dr Taosheng Liu. I earned Bachelors in both Computer Science and Mathematics from the "Technion - Institute of Technology" and subsequently worked as a VLSI engineer at Apple Inc. before becoming a Fulbright grantee in MSU.
My main areas of interest are neural representations, computational linguistics, and cultural informatics. My PhD thesis focused on utilizing electroencephalography in conjunction with state-of-the-art machine learning techniques to investigate how attention modulates sensory representations.
I spend the little free time I have learning to play various instruments to various degrees of success.
Recent Projects:
Feature Imitating Networks
Novel framework for integrating expert knowledge into deep learning networks by initalizing weights to approximate known statistical measures.
Papers:Feature Imitating Networks In Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 S. Saba-Sadiya and T. Alhanai and T. Liu and M. Ghassemi [pdf] [bib] [code]
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs Online Preprint, 2022 S. Saba-Sadiya and T. Alhanai and T. Liu and M. Ghassemi [pdf] [bib] [code]
Artifact Detection and Correction in EEG Data
Applying state-of-the-art self-supervised machine learning techniques to artifact detection and correction in EEG data.
Papers:Unsupervised EEG Artifact Detection and Correction In Frontiers in Digital Health, Special issue on Machine Learning in Clinical Decision-Making. Volume 2, 2020 S. Saba-Sadiya and E. Chantland and T. Alhanai and T. Liu and M. Ghassemi [pdf] [bib] [code]
EEG Channel Interpolation Using Deep Encoder-Decoder Networks In Proceedings of the 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020 S. Saba-Sadiya and T. Alhanai and T. Liu and M. Ghassemi [pdf] [bib] [code]
