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Submitted URL: http://sari-saba-sadiya.github.io/
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Submission: On October 17 via api from US — Scanned from DE
Effective URL: https://sari-saba-sadiya.github.io/
Submission: On October 17 via api from US — Scanned from DE
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* About * Publications * Teaching * Education, Experience, and Awards SARI SABA-SADIYA سري سابا سعدية PhD Computer Science Cognition & Cognitive Neuroscience -------------------------------------------------------------------------------- saba-sadiya [at] em.uni-frankfurt.de * Scholar * Git * LinkedIn -------------------------------------------------------------------------------- Download CV My band: Beirut 66! -------------------------------------------------------------------------------- Palestinian-Arabic, Hebrew, English, French -------------------------------------------------------------------------------- Robert-Mayer-Straße 12 60325 Frankfurt am Main, DE -------------------------------------------------------------------------------- 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] PUBLICATIONS For a complete list see my google scholar page. -------------------------------------------------------------------------------- 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] -------------------------------------------------------------------------------- ARTIFACT DETECTION AND CORRECTION IN EEG DATA: A REVIEW In Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021 S Sadiya, T Alhanai, MM Ghassemi [pdf] [bib] -------------------------------------------------------------------------------- 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] -------------------------------------------------------------------------------- MULTI-SOURCE MULTI-CLASS FAKE NEWS DETECTION In Proceedings of the 27th International Conference on Computational Linguistics (COLING, acceptance rate: 37.27%), 2018 H. Karimi, P. Roy, S. Saba-Sadiya and J. Tang [pdf] [bib] -------------------------------------------------------------------------------- LANGUAGE TO ACTION: TOWARDS INTERACTIVE TASK LEARNING WITH PHYSICAL AGENTS In Proceedings of the 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence ((IJCAI-ECAI, Invited Paper), 2018 J. Y. Chai, Q. Gao, L. She, S. Yang, S. Saba-Sadiya, and G. Xu [pdf] [bib] -------------------------------------------------------------------------------- COMMONSENSE JUSTIFICATION FOR ACTION EXPLANATION In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP, acceptance rate: 25.5%), 2018 S. Yang, Q. Gao, S. Saba-Sadiya, J. Y. Chai [pdf] [bib] -------------------------------------------------------------------------------- JOINTLY LEARNING GROUNDED TASK STRUCTURES FROM LANGUAGE INSTRUCTION AND VISUAL DEMONSTRATION. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP, acceptance rate: 26%), 2016 C. Liu, S. Yang, S. Saba-Sadiya, N. Shuka, Y. He, S. Zhu, and J. Y. Chai [pdf] [bib] -------------------------------------------------------------------------------- PROJECTS -------------------------------------------------------------------------------- * Multi-modal Learning and Explanation in Human Robot Interaction Python, C++ - funded by the DARPA SIMPLEX program and the DARPA XAI project. * A Platform for Monitor Definition, Integration, and Synthesis C++, Java, System-Verilog A Technion and IBM joint industrial project under the guidance of Dr Tamer Salman TEACHING -------------------------------------------------------------------------------- * CSE 231: Introduction to Programming I (Teaching Assistant) Fall 2020 * CSE 440: Introduction to AI (Teaching Assistant) Fall 2018, Spring 2019 EDUCATION, EXPERIENCE, AND AWARDS -------------------------------------------------------------------------------- * FRANKFURT INSTITUTE FOR ADVANCED STUDIES PIS: GEMMA ROIG & RADOSLAW CICHY Nov 2022 - present Post-Doc Call * PHD DUAL PHD IN COGNITIVE SCIENCE AND COMPUTER SCIENCE MICHIGAN STATE UNIVERSITY Oct 2017 - Oct 2022 GPA: 3.8 * DISSERTATION COMPLETION FELLOWSHIP MICHIGAN STATE UNIVESITY Spring 2021 Department of Graduate Studies Total amount: 5,416$ * CULTURAL HERITAGE INFORMATICS FELLOWSHIP MICHIGAN STATE UNIVESITY Fall 2020 CHI Grad Fellowship Total amount: 4,000$ * GRADUATE OFFICE FELLOWSHIP MICHIGAN STATE UNIVESITY Summer 2020 Department of Graduate Studies Total amount: 6,942$ * MSC IN COMPUTER SCIENCE SPECIALIZATION IN COGNITIVE SCIENCE MICHIGAN STATE UNIVERSITY Fall 2015 - Spring 2017 GPA: 3.8 * FULBRIGHT SCHOLERSHIP PROGRAM FOR IEE U.S. BUREAU OF EDUCATIONAL AND CULTURAL AFFAIRS Fall 2015 Full-ride MSc scholership Total amount: 30,000$ * VLSI ENGINEER APPLE INC. Aug 2013 - Aug 2015 Hardware dessign and Verification * BSC MATHEMATICS TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY Fall 2009 - Spring 2013 2013 Dean Honors List * BSC COMPUTER SCIENCE TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY Fall 2009 - Spring 2013 2013 Dean Honors List Frankfurt Institute for Advanced Studies