Feras Al Obeidat

Associate Professor
AUH Campus

  • Ph.D., UNIVERSITY OF NEW BRUNSWICK, CANADA Computer Science/Artificial Intelligence

  • Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Data Mining.

  • August 2015 – Present

    Associate Professor 

    I am developing and teaching graduate and undergraduate courses in Artificial Intelligence and Data Science. Active researcher with high-impact publication records in artificial intelligence, Machine learning, natural language processing, and data science. In addition to my research, teaching, and service role, I hold an admin position as a graduate program coordinator for the Master of Science in Information Systems Management at Zayed University.

  • April 2014 – August 2015

    Research Scientist, IBM CANADA

    My work involved research, design, and development. I implemented a software system using artificial intelligence along with remote sensing algorithms. The objective of the product is to explore the existence of Mineral Discovery using a topographic mapping from NASA. This product has been implemented successfully by using automatic mapping of lineaments using shaded relief images derived from digital elevation models (DEMs) based on Cloud Computing. In this contribution, I built an intelligent software system using AI/ML and big data in Java to automatically extract multidirectional lineaments from (Shuttle Radar Topography Mission) SRTM data provided by NASA and detect the locations of the mineral resources in the area. The product enables companies to have up-to-date digital information that facilitates the identification of mineral resources and reducing economic costs and risk.

  • October 2013 – May 2014


    Developed a system in Java using natural language processing (NLP), machine learning, and text mining for social media monitoring in which involves sentiment analysis and exploring and obtaining most trending topics. The goal of this product was to listen through social media to what people are saying about the person.

  • June 2012 – October 2013

    Research and development Software Engineer, SALESFORCE COMPANY, CANADA

    Developed an intelligent searching engine called a Meme Engine which uses machine learning and text mining techniques. Many companies worldwide have used the project to determine the impact of their products and services by analyzing customers' opinions and sentiments. In addition, I accomplished several software engineering tasks, which included software development in Java, website services, and databases

  • October 2010 – May 2012


    I developed a new machine learning and classification technique to identify the risk of high radiation exposure levels in patients. My contribution had contributed significantly to the overall project's success. I developed a classification algorithm to identify and predict the risk of CT and x-ray radiation on the human body. The project has recently been licensed and commercialized by Agfa Health Care.


  • Artificial Intelligence Analyst - Explorer Award 2019. IBM

  • Artificial Intelligence Analyst - Mastery Award 2019. IBM

  • Business Intelligence Analyst - Mastery Award for Educators 2018. IBM o Business Intelligence Analyst - Explorer Award for Educators 2018. IBM

Membership in professional organizations:

  • Reviewer in well-known publisher Elsevier and Springer includes:

    Journal of Retailing and Consumer Services

    Journal of Business Research

    Journal of supercomputing

  • International Workshop/conference organizer

  • Published an article (Using data science to power the UAE's future) in the media (THE-World University Rankings)

Journals (Last Ten)

  • Ali, G., Al-Obeidat, Feras., Tubaishat, A. et al. "Counterfactual explanation of Bayesian model uncertainty." Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-06528-z

  • Al-Obeidat, Feras., Bani-Hani, A., Adedugbe, O. et al. "A microservices persistence technique for cloud-based online social data analysis." Cluster Comput 24, 2341–2353 (2021). https://doi.org/10.1007/s10586-021-03244-0

  • M. Iqbal, Al-Obeidat, Feras, et al., "COVID-19 Patient Count Prediction Using LSTM," in IEEE Transactions on Computational Social Systems, vol. 8, no. 4, pp. 974-981, Aug. 2021DOIoi: 10.1109/TCSS.2021.3056769.

  • Al-Obeidat, Feras., Rocha, Á., Akram, M. et al. "(CDRGI)-Cancer detection through relevant genes identificati."". Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-05739-8

  • Feras Al-Obeidat, Farhi Marir, Fares M. Howari, Abdel-Mohsen O. Mohamed, Neil Banerjee, "Chapter 21 - Artificial intelligence and data analytics for geosciences and remote sensing: theory and application", Editor(s): Abdel-Mohsen O. Mohamed, Evan K. Paleologos, Fares M. Howari, Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering, Butterworth-Heinemann, 2021, Pages 1055-1082, ISBN 9780128095829, https://doi.org/10.1016/B978-0-12-809582-9.00021-9.

  • Duc-Thuan Vo, Feras Al-Obeidat, Ebrahim Bagheri, "Extracting temporal and causal relations based on event networ," "Information Processing & Management, Volume 57, Issue 6, 2020, 102319, ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2020.102319.

  • Hani, Anoud Bani; Al-Obeidat, Feras; Benkhelifa, Elhadj; Adedugbe, Oluwasegun; "A Framework for Online Social Network Volatile Data Analysis: A Case for the Fast Fashion Industry"; Journal of Universal Computer Science, 26,1,127-155, 2020.

  • Bagheri, Ebrahim; Arabzadeh, Negar; Zarrinkalam, Fattane; Jovanovic, Jelena; Al-Obeidat, Feras; "Neural embedding-based specificity metrics for pre-retrieval query performance predict," Information Processing & Management, 57, 4, 2020, Elsevier

  • Fani, Hossein; Jiang, Eric; Bagheri, Ebrahim; Al-Obeidat, Feras; Du, Weichang; Kargar, Mehdi; "User community detection via embedding of social network structure and temporal content," Information Processing & Management 57, 2, 2020, Elsevier.

  • Al-Obeidat, Feras; El-Alfy, E-SM; "Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols," Personal and Ubiquitous Computing, 23, 777-791, 2019, Springer

  • Exceptional professor for the academic year 2020/2021

  • Exceptional professor for the academic year 2018/2019

  • Outstanding research award for the academic year 2017/2018

  • Full Ph.D. scholarship due to academic achievement funded by National Research Council Canada

The development of data science at Zayed university in the media (My article at THE World University Rankings, https://www.timeshighereducation.com/hub/p/using-data-science-power-uaes-future).

  • SEC540 (DB & Enterprise App. Sec.)