Apply Now 
Dr. Ahmed Abdelali
Senior Software Engineer
Dr. Ahmed Abdelali
Senior Software Engineer
Educational Qualifications
Ph.D. in Computer Science
M.S .Computer Science
Entity
Qatar Computing Research Institute
Divison
Arabic Language Technologies
Biography
Dr. Abdelali is a Senior Software Engineer at Qatar Computing Research Institute, Arabic Language Technologies research group. His research interest focuses on natural language processing namely, areas of machine translation, information retrieval and extraction with emphasis on applications related to Arabic language and its dialects. Dr. Abdelali received his MS and PhD in computer Science from New Mexico Institute of Mining and Technology. Worked as a researcher for NMSU Computing Research Laboratory and Physical Science Laboratory before joining QCRI. Dr. Abdelali has published and co-authored several research papers and articles in various peer-reviewed conferences and journals.
Ph.D. in Computer Science
New Mexico Tech. Socorro, NM
2002-2006
M.S .Computer Science
New Mexico Tech. Socorro, NM
1998-1999
- Arabic Language Technologies
- Machine Translation
- Artificial Intelligence
- Machine Learning
Senior System Analyst
Research Administration NMSU Las Cruces, New Mexico
07/2007-03/2013
Analyst
Physical Science Laboratory NMSU Las Cruces, New Mexico
02/2004-07/2007
Computer Specialist II
Computing Research Laboratory NMSU Las Cruces, New Mexico
03/2000-02/2004
Research Assistant
New Mexico Tech Socorro, New Mexico Master student of Computer Science at New Mexico Tech.
1998-1999
- Highly Effective Arabic Diacritization using Sequence to Sequence Modeling. Accepted at NAACL-HLT 2019.
- The WAW Corpus: The First Corpus of Interpreted Speeches and their Translations for English and Arabic. LREC 2018. 7-12 May 2018. Miyazaki, Japan.
- iAppraise: A Manual Machine Translation Evaluation Environment. In Proceedings of the 15th Annual Conference of the North American Chapter of the Association of Computational Linguistics: Human Language Technologies (NAACL-HLT), San Diego, US, June 2016.
- An information-theoretic, vector-space-model approach to cross-language information retrieval. Natural Language Engineering, 17(1), pp 37–70.
- Benefits of the ‘Massively Parallel Rosetta Stone’: Cross-Language Information Retrieval with over 30 Languages. Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, ACL 2007. Prague, Czech Republic, June 23–30, 2007. pp. 872-879.
- Localization in Modern Standard Arabic. Journal of the American Society for Information Science and Technology (JASIST), Volume 55, Number 1, 2004. pp. 23-28.