Badr Abdullah
Scientific Researcher at Universität des Saarlandes
Saarbrücken, Saarland, Germany
Summary
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Senior🎓
Top SchoolBadr Abdullah is a scientific researcher at Saarland University with a decade of experience applying AI and machine learning to speech and language technology. He completed a PhD studying how deep neural networks represent speech variability and linguistic variation, and has co-authored over 18 peer-reviewed publications while supervising students and contributing to successful grants. His work blends hands-on model development, interpretability methods, and experimental design to probe how DNNs encode linguistic input, including practical improvements to ASR like OOV recovery and semantically-informed decoding. Comfortable in interdisciplinary settings, he pairs rigorous computational linguistics training with engineering fluency—often writing the code that turns hypotheses about language into reproducible experiments.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Natural Language Processing, Master of Science - MS, Natural Language Processing at Universite de LorraineBachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Sana'a UniversityMaster of Science - MS, Language Science and Technology (Computational Linguistics), Master of Science - MS, Language Science and Technology (Computational Linguistics) at Universität des SaarlandesMaster of Technology - MTech, Computer Science and Engineering, Master of Technology - MTech, Computer Science and Engineering at Osmania University
Arabic, English, GermanProgramming languages (1)
Github contributions (5)
badrex/rdf2text
Oct 2017 - Jul 2018
Contributions:47 commits, 4 pushes, 1 branch in 9 months
uds-lsv/xRSA-AWEs
Sep 2021 - Sep 2021
Contributions:14 commits, 13 pushes, 1 branch in 14 days
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