Associate Professor, Graduate Program Coordinator - Master of Science in Information Systems Management

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.

Office: Zayed University, Abu Dhabi

Phone: +971-2 599 3371



Abu Dhabi - Khalifa City, (MF2-0-018)


+9712 599 3317

Teaching Areas

  • Artificial Intelligence
  • Data Analytics and Data Mining
  • Programming in Java
  • Mobile Commuting
  • Project Management
  • Research Methods

Research and Professional Activities


  • Artificial Intelligence
  • Data Science and Machine Learning
  • Multi-Criteria Decision Analysis
  • Natural Language Processing
  • Text Mining
  • Image Processing

Presentation of Refereed Papers 

       Publication List:

         Refereed Articles 

  Journal Publications:

  1. Al-Obeidat, Feras; Spencer,      Bruce; Kafeza, Eleanna;" The Opinion Management Framework:      Identifying and addressing customer concerns extracted from online product      reviews”, Electronic Commerce Research and Applications, 27, 52-64,      2018, Elsevier                                                                                                   
  1. Al-Obeidat, Feras; Tubaishat, Abdallah; Dillon, Anna; Shah, Babar; "Analyzing students’ performance using multi-criteria classification”, Cluster Computing,1-10,2017, Springer US                                                                                                                                               
  2. Al-Obeidat, Feras; El-Alfy, E-SM; "Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols", Personal and Ubiquitous Computing,1-15,2017, Springer London                                                        
  3. Spencer, Bruce; Al-Obeidat, Feras; Alfandi, Omar; “Accurately forecasting temperatures in smart buildings using fewer sensors”, Personal and Ubiquitous Computing,1-9,2017, Springer London                                     
  4. Amin, Adnan; Shah, Babar; Anwar, Sajid; Al-Obeidat, Feras; Khattak, Asad Masood; Adnan, Awais; "A prudent based approach for compromised user credentials detection”, Cluster Computing,1-19,2017, Springer
  5. Feng, Yue; Zarrinkalam, Fattane; Bagheri, Ebrahim; Fani, Hossein; Al-Obeidat, Feras; “Entity linking of tweets based on dominant entity candidates”, Social Network Analysis and Mining, 8,1,46,2018, Springer Vienna                                  
  6.  Ali, Syed Muhammad; Noorian, Zeinab; Bagheri, Ebrahim; Ding, Chen; Al-Obeidat, Feras; "Topic and sentiment aware microblog summarization for twitter”, Journal of Intelligent Information Systems, 1-28,2018, Springer US                       
  1. Al-Obeidat, Feras; Spencer,      Bruce; Alfandi, Omar; “Consistently accurate forecasts of temperature      within buildings from sensor data using ridge and lasso regression”, Future      Generation Computer Systems, 2018, North-Holland               
  2. Amin, Adnan; Al-Obeidat, Feras;      Shah, Babar; Adnan, Awais; Loo, Jonathan; Anwar, Sajid; “Customer churn      prediction in telecommunication industry using data certainty”, Journal      of Business Research,94, pp. 290-30, 2019,              
  1.  Shah, Saleh; Shah, Babar; Amin, Adnan; Al-Obeidat,      Feras; Chow, Francis; Moreira, Fernando Joaquim Lopes; Anwar, Sajid;      "Compromised user credentials detection in a digital enterprise using      behavioral analytics”, Future Generation Computer Systems, 93, pp.      407-417, 2019”                                                                         
  2. Bagheri, Ebrahim; Ensan, Faezeh; Al-Obeidat,      Feras; “, Neural word and entity embeddings for ad hoc retrieval”, Information      Processing & Management,54,4,657-673, 2018, Pergamon                                                                              


Conference Proceedings:

  1. Al-Obeidat, Feras; Spencer, Bruce; “Identifying Major Tasks from On-line Reviews”, Procedia Computer Science, 113,217-222,2017, Elsevier
  2. Al-Obeidat, Feras; Kafeza, Eleanna; Spencer, Bruce; “Opinions Sandbox: Turning emotions on topics into actionable analytics”, International Conference on Emerging Technologies for Developing Countries,110-119,2017,"Springer, Cham"
  3. Al-Obeidat, Feras; Shah, Babar; Khattak, Asad Masood; Abbas, Ali; “A meta-heuristic approach for developing PROAFTN with decision tree”, Big Data and Smart City (ICBDSC), 2016 3rd MEC International Conference on”,1-7,2016, IEEE
  4. Al-Obeidat, Feras; Feltrin, Leonardo; Marir, Farhi; “Cloud-Based Lineament Extraction of Topographic Lineaments from NASA Shuttle Radar Topography Mission Data”, Procedia Computer Science, 83,1250-1255,2016, Elsevier
  5. Al-Obeidat, Feras.; Tubaishat, A.; “Predicting students' performance using mutli-criteria classification: A case study", 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth”,1590-1599,2016, International Business Information Management
  6. Al-Obeidat, Feras; Al-Taani, Ahmad T; Belacel, Nabil; Feltrin, Leo; Banerjee, Neil; "A fuzzy decision tree for processing satellite images and Landsat data”, Procedia Computer Science, 52,1192-1197,2015, Elsevier
  7. Al-Obeidat, Feras N; El-Alfy, El-Sayed M; " International Conference on Network Intrusion Detection Using Multi-Criteria PROAFTN Classification", Information Science and Applications (ICISA), 2014”,1-5,2014, IEEE
  8. Fani, Hossein; Bashari, Masoud; Zarrinkalam, Fattane; Bagheri, Ebrahim; Al-Obeidat, Feras; " Stopword Detection for Streaming Content”, European Conference on Information Retrieval, 737-743,2018,"Springer, Cham"
  9. Spencer, Bruce; Alfandi, Omar; Al-Obeidat, Feras; "A Refinement of Lasso Regression Applied to Temperature Forecasting”, Procedia computer science, 130, 728-735,2018, Elsevier
  10. Bagheri, Ebrahim; Ensan, Faezeh; Al-Obeidat, Feras; "Impact of Document Representation on Neural Ad hoc Retrieval”, Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 1635-1638, 2018, ACM
  11. Spencer, Bruce; Al-Obeidat, Feras; Alfandi, Omar; “Selecting sensors when forecasting temperature in smart buildings”, Procedia Computer Science, 109,777-784, 2017, Elsevier
  12. Almourad, Basel; Hussain, Mohammed; Al-Obeidat, Feras; “THE BEST PRACTICE IN IMPLEMENTING ITIL SERVICE TRANSITION FOR SUCCESSFUL IT SERVICE PRODUCTION”,10th IADIS International Conference on Information Systems 2017
  13. Bani-Hani, Anoud; Majdalweieh, Munir; Al-Obeidat, Feras; “The Creation of an Arabic Emotion Ontology Based on E-Motive”, Procedia Computer Science, 109,1053-1059,2017, Elsevier
  14. Abbas, Ali; Shah, Babar; Al-Obeidat, Feras; Iqbal, Farkhund; "Bounded message delay with threshold time constraint in delay tolerant networks (DTNs)”, Big Data and Smart City (ICBDSC), 2016 3rd MEC International Conference on”,1-6,2016, IEEE
  15. Feltrin, Leonardo; Motta, João Gabriel; Al-Obeidat, Feras; Marir, Farhi; Bertelli, Martina; "Combining Weights of Evidence Analysis with Feature Extraction–a Case Study from the Hauraki Goldfield, New Zealand", Procedia Computer Science, 83,1262-1267,2016, Elsevier
  16. Marir, Farhi; Said, Huwida; Al-Obeidat, Feras; “Mining the Web and Literature to Discover New Knowledge about Diabetes”, Procedia Computer Science, 83,1256-1261,2016, Elsevier
  17. El-Alfy, El-Sayed M; Al-Obeidat, Feras N; "A multicriterion fuzzy classification method with greedy attribute selection for anomaly-based intrusion detection”, Procedia Computer Science, 34,55-62,2014, Elsevier

My PhD thesis was highly classified as one of the top thesis from dean of graduate studies at UNB. I was able to publish high quality publications. These below articles are from my PhD. They all high quality and Q1 journals or top tier conferences.

-      "Al-Obeidat, Feras; Belacel, Nabil; Carretero, Juan A; Mahanti, Prabhat; ", An evolutionary framework using particle swarm optimization for classification method PROAFTN, Applied Soft Computing,11,8,4971-4980,2011, Elsevier

-      "Al‐Obeidat, Feras; Belacel, Nabil; "Alternative approach for learning and improving the MCDA method PROAFTN, International Journal of Intelligent Systems,26,5,444-463, 2011, Wiley Online Library

-      "Belacel, Nabil; Al-Obeidat, Feras; "A learning method for developing PROAFTN classifiers and a comparative study with decision trees”, Canadian Conference on Artificial Intelligence,56-61,2011, Springer, Berlin, Heidelberg

-      "Al-Obeidat, Feras; Belacel, Nabil; Carretero, Juan A; Mahanti, Prabhat; “Differential Evolution for learning the classification method PROAFTN”, Knowledge-Based Systems,23,5,418-426,2010, Elsevier

-      Al-Obeidat, Feras; Belacel, Nabil; Carretero, Juan A; Mahanti, Prabhat; “Automatic parameter settings for the PROAFTN classifier using hybrid particle swarm optimization”, Canadian Conference on Artificial Intelligence, 184-195,2010,"Springer, Berlin, Heidelberg"