Associate Professor

Ph.D. University of New Brunswick, Computer Science, Canada, Artificial Intelligence, 2010

M.Sc. University of New Brunswick, New Brunswick, Canada, Computer Science, 2002


Dr. Feras Al-Obeidat is an Associate Professor at the College of Technological Innovation at Zayed University. Dr Al-Obeidat received both his Master and PhD in Computer Science from the University of New Brunswick, Canada. Dr Al-Obeidat's primary field of research is Artificial Intelligence and Machine Learning.

Directly following his PhD, Dr. Al-Obeidat contributed to industrial, university and government teaching and research with premier organizations including IBM Canada, the University of New Brunswick, Salesforce and the National Research Council of Canada. Dr. Al-Obeidat is honored to join Zayed University and to pursue and sustain ties with government and industry research.


Abu Dhabi - Khalifa City, FF2-0-032


+971 2 599 3371

Teaching Areas

Teaching Areas

  • Artificial Intelligence

  • Data Science and Data Mining

  • Programming and Problem Solving

  • Research Methods

Research Interest and Professional Activities

  • Artificial Intelligence

  • Data Science and Machine Learning

  • Natural Language Processing

  • Image Processing

Research and Professional Activities

(CDRGI)-Cancer detection through relevant genes identification F Al-Obeidat, Á Rocha, M Akram, S Razzaq, F Maqbool Neural Computing and Applications 34 (11), 8447-8454, 2022

Parallel tensor factorization for relational learning F Al-Obeidat, Á Rocha, MS Khan, F Maqbool, S Razzaq Neural Computing and Applications 34 (11), 8455-8464, 2022

Discovering the Correlation Between Phishing Susceptibility Causing Data Biases and Big Five Personality Traits Using C-GAN AU Rahman, F Al-Obeidat, A Tubaishat, B Shah, S Anwar, Z Halim IEEE Transactions on Computational Social Systems , 2022

A microservices persistence technique for cloud-based online social data analysis F Al-Obeidat, A Bani-Hani, O Adedugbe, M Majdalawieh, E Benkhelifa Cluster Computing 24 (3), 2341-2353, 2021

Artificial intelligence and data analytics for geosciences and remote sensing: theory and application F Al-Obeidat, F Marir, FM Howari, AMO Mohamed, N Banerjee Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering, 2021