My name is Mohamed Eldesouki Mohamed, and I am currently a research associate at the Qatar Computing Research Institute (QCRI) working with Dr. Kareem Darwish in the Arabic Language Technologies (ALT) group. I have research and development experience in the fields of Natural Language Processing (NLP) and Information Retrieval (IR) in which I earned a master’s degree. Also, I have several publications related to IR and NLP published in top-tier conferences.

Joining a prestigious research institute like QCRI contributed substantially in crafting my research personality. It gave me the opportunity to learn the craft of research through participating in developing state-of-the-art NLP & deep learning technologies and through publishing in top-tier conferences. Furthermore, I gained practical experience from several projects namely FARASA (a fast and accurate NLP toolkit for Arabic text), Dialectal Arabic Tools, ClassStrength, and Live Arabic Dialects Identification of Arabic Speech.

Previously as research assistant at Cairo University, I had the responsibility to prepare and teach two courses, namely introduction to programming using Python and fundamentals of NLP. Meanwhile, I participated in developing APC (Arabic Processing Cog) a python text processing package. I also developed WebCS (a news aggregator that crawl more than 120 Arabic news sites and automatically recognize the title, body, author(s) and publish date).

In addition to academia, I worked in industry as a senior R&D engineer for more than 6 years which has sharpened my skills in using a vast spectrum of programming languages and technologies to build real-world large-scale projects and applications leveraging machine and deep learning. Some of the models that I have used are Linear & Logistic regression, CRF, SVM, CNN, LSTM, and word embeddings. Some of these I have implemented myself and I used tools such as Keras and TensorFlow for others..