Name Mohamed E. Mohamed
Location Doha, Qatar
Experience 11 Years
Degree MSc. in Computer Science
Phone (+974) 33-542583
Personal E-mail email@example.com
I’m A Research Associate and A Software Engineer
Mohamed Eldesouki is a software engineer with senior Researching and Developing skills and a
wide technical and academic background in the fields of Arabic Language Technologies (ALT) and
Machine Learning (ML) with a broad experience covering a diverse set of software development
tools, languages and methodologies, gathered throughout almost 11 years of experience.
Mohamed has participated in designing, implementing and maintaining of NLP-related project such as Search Engines, Content-based Recommendation Systems, Auto-complete and correction for mobile devices, and Intelligent Tutoring Systems (ITS) for both Arabic and English content .
With a strong academic foundation in Information Retrieval (IR) and Information Extraction (IE) gained through the conducted research activities and studies of the MASTER’S DEGREE and deep linguistic analysis, Natural language Understanding NLU and Machine comprehension of text currently through his work at Qatar Computing Research Institute (QCRI).
Salvatore Romeo, Giovanni Da San Martino, Yonatan Belinkov, Alberto Barŕon-Cedẽno,
, Kareem Darwish, Hamdy Mubarak, James Glass, and Alessandro
Moschitti, (2019).Language processing and learning models for community question
answering in Arabic.
Information Processing & Management, Volume 56, Issue 2, March 2019, Pages 274-290.
, Suwon Shon, and Ahmed Ali, (2018),
QCRI-MIT Live Arabic Dialect Identification System,
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada.
Kareem Darwish, Hamdy Mubarak,
Mohamed Eldesouki, Ahmed Abdelali, Younes Samih, Randah Alharbi,
Mohammed Attia, Walid Magdy, and Laura Kallmeyer, (2018),
Multi-Dialect Arabic POS Tagging: A CRF Approach
In proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC), 7-12 May 2018, Miyazaki (Japan).