Ramy is a postdoctoral associate at MIT CSAIL.

He received a B.Sc. degree in Electrical and Electronics Engineering at Aleppo University, Syria, in 2008. He then joined the American University of Beirut, Lebanon, where he received his Masters degree in Electrical and Computer Engineering in 2012, and his PhD in 2017.

Ramy's research interests focus on developing machine learning models for a variety of semantic tasks that evolve around Natural Language Processing (NLP), with particular focus on Arabic language. Examples include sentiment analysis, machine translation evaluation, stance detection and most recently fact checking. He published several resources such as the first sentiment treebank in Arabic (ArSenTB) and a large-scale Arabic sentiment lexicon (ArSenL)... check here

Aside from research, Ramy is an accomplished musician and plays classical violin.

Research Areas

Impact Areas




Arabic Language Processing

The Arabic language is spoken by over one billion people around the world. Arabic presents a variety of challenges for speech and language processing technologies. In our group, we have several research topics examining Arabic, including dialect identification, speech recognition, machine translation, and language processing.
Jim Glass