Dr. Manar Alkhatib


 

Title:  Adjunct Assistant Professor -Computer Science
School: School of Engineering
Department: Computer Science and Engineering Department
Office:  Bldg. G-316
Phone:  
Email: t.manaralkhatib@aurak.ac.ae

Dr.Alkhatib earned her PhD in Computer Science from The British University in Dubai in July 2019. During her graduate studies, she worked as Adjunct Faculty to teach for various courses from the freshman to graduate levels and had the opportunity to develop his skills as an educator. Her research interests in Artificial Intelligent include  Machine Learning, Big Data Analysis, Natural Language Processing (NLP), Computational Linguistics (CL), and Speech Recognition.

Dr.Alkhatib has a publication on Deep Neural Network, Big data, machine translation, sentiment analysis, computational morphology, data mining, and information retrieval.

  • July 2019 PhD in Computer Science from British University in Dubai, UAE.
  • September/2007 Master Degree in computer science in Faculty of Information Technology from the Middle East University. Amman – Jordan

Journals Research 

  1. Alkhatib, Manar, and Khaled Shaalan. “Deep Learning for Arabic Error Detection and Correction”, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) (2020).
  2. Manar AlKhatib, Abolfazl AleAhmad, May El Barachi, Farhad Oroumchian, and Khaled ShaalanAlKhatib, Manar, May El Barachi, Abolfazl AleAhmad, Farhad Oroumchian, and Khaled Shaalan. “A sentiment reporting framework for major city events: Case study on the China-United States trade war.” Journal of Cleaner Production (2020): 121426. [Q1 Journal ]
  3. Alkhatib, Manar, May El Barachi, and Khaled Shaalan. “An Arabic social media based framework for incidents and events monitoring in smart cities.” Journal of Cleaner Production 220 (2019): 771-785.[Q1 Journal]
  4. Meligy, Ali, and Manar Al-Khatib. “A grid-based distributed svm data mining ” European Journal of Scientific Research 27.3 (2009): 313-321

Conference proceedings: 

  1. Abdul Munem Nerabie, Manar Alkhatib, Sujith Samuel Mathew, May El Barachi and Farhad Oroumchian, “The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach”, The 12th International Conference on Ambient Systems, Networks and Technologies (ANT-2021).
  2. Manar Alkhatib,May El Barachi, Sujith Samuel Mathew, and Farhad Oroumchian. “Using Artificial Intelligence to Monitor the Evolution of Opinion Leaders’ Sentiments: Case Study on Global Warming.” In 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-6. IEEE, 2020.
  3. Elabora, Abdallah, Manar Alkhatib, Sujith Samuel Mathew, and May El Barachi. “Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach.” In 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-5. IEEE, 2020.
  4. Manar Alkhatibl, and Khaled , 2020, “Boosting Arabic Named Entity Recognition transliteration with Deep Learning”, In The Thirty-Third International Flairs Conference. 2020. (FLAIRS-33).
  5. Manar Alkhatib, May El Barachi, Abolfazl AleAhmad, Farhad Oroumchian, and Khaled Shaalan. “Analysing the sentiments of opinion leaders in relation to smart cities’ major events.” 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2019.
  6. Manar, Alkhatib and Khaled Shaalan. “Paraphrasing Arabic Metaphor with Neural Machine Translation.” Procedia Computer Science 142 (2018): 308-314.
  7. Alkhatibl, Manar, May El Barachi, and Khaled “Using Arabic Social Media Feeds for Incident and Emergency Management in Smart Cities.” 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2018.
  8. Manar Alkhatiba, Azza Abdel Monemb, Khaled Shaalan. “A Rich Arabic WordNet Resource for Al-Hadith Al-Shareef”. 3rd International Conference on Arabic Computational Linguistics, ACLing 2017, Procedia Computer Science. 2017
  9. Alkhatib, Manar, and Khaled Shaalan. “Natural Language Processing for Arabic Metaphors: A Conceptual Approach.” International Conference on Advanced Intelligent Systems and Informatics. Springer International Publishing,
  10. Alkhatib, M. “Classification of Al-Hadith Al-Shareef using data mining algorithm. “Proceedings of the European Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2010).

Chapter book 

  1. Alkhatib, Manar, and Khaled Shaalan. “The Key Challenges for Arabic Machine Translation”, INTELLIGENTNATURAL LANGUAGE PROCESSING: TRENDS AND APPLICATIONS, 978-3-319-67055-3, 441116_1_En (8). Springer International Publishing,
  2. Khaled Shaalan, Sanjeera Siddiqui, Manar Alkhatib, Azza Abdel Monem “Challenges in Arabic Natural Language Processing”. Series on Language Processing, Pattern Recognition, and Intelligent Systems. Springer International Publishing,

Certification 

  • (October 2015) Routing and Switching Essentials CCNA2 Instructor Certified, CISCO Networking Academy – Abu Dhabi,
  • (August 2015) Introduction to Networking – CCNA1 Instructor Certified, CISCO Networking Academy – Abu Dhabi,
  • (June 2010) IT Essentials: PC Hardware and Software Instructor Certified, CISCO Networking Academy – Abu Dhabi,

 

Last updated: Feb 27, 2021 @ 10:35 pm

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Tel. :  + 971 7 2210 900
Fax :  
+ 971 7 2210 300
Mail:  info@aurak.ac.ae
Admissions:  admissions@aurak.ac.ae

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