Assistant Professor

Bio

Dr. Feras Al-Obeidat is an Assistant Professor at the College of Technological Innovation at Zayed University. Dr Al-Obeidat received both his Masters and PhD in Computer Science from the University of New Brunswick, Canada.Dr Al-Obeidat's primary field of research is Data Mining 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 in collaboration with Western University, the University of New Brunswick, Salesforce.com and the National Research Council of Canada in collaboration with Agfa Healthcare Canada. Dr. Al-Obeidat is honoured to join Zayed University and to pursue and sustain ties with government and industry research.

Office: Abu Dhabi Campus, (MF2-0-018)
Phone: +9712 599 3371
Email: Feras.Al-Obeidat@zu.ac.ae

Teaching Areas

• Data Analytics and Data Mining

• Programming in Java

• Mobile Commuting

• Project Management

• Research Methods

Research and Professional Activities

• Data Mining and Machine Learning 

• Multi-Criteria Decision Analysis

• Classification

• Artificial Intelligence

• Text Mining

• Image Processing

Professional Activities:

Presentation of Refereed Papers 

International
Refereed Articles
El-Alfy, E. & Al-Obeidat, F. (2015). Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection. Mobile Information Systems, 2015 (585432), 13.

Al-Obeidat, F. & Belacel, N. (2011). Alternative approach for learning and improving the MCDA method PROAFTN. International Journal of Intelligent Systems, 26 (5), 444-463, doi: 10.1002/int.20476.

Al-Obeidat, F., Belacel, N., Carretero, J., & Mahanti, P. (2011). An evolutionary framework using particle swarm optimization for classification method PROAFTN. Applied Soft Computing, 11 (8), 4971-4980, doi: http://dx.doi.org/10.1016/j.asoc.2011.06.003.

Al-Obeidat, F., Belacel, N., Carretero, J., & Mahanti, P. (2010). A Hybrid Metaheuristic Framework for Evolving the PROAFTN Classifier. Special Journal Issues of World Academy of Science, Engineering and Technology, 64, 217-225.

Al-Obeidat, F., Belacel, N., Carretero, J., & Mahanti, P. (2010). Differential Evolution for learning the classification method PROAFTN. Knowledge-based Systems, 23 (5), 418-426, doi: http://dx.doi.org/10.1016/j.knosys.2010.02.003.

Refereed Proceedings
Full Paper
Spencer, B. & Al-Obeidat, F. (in press, 2016). Temperature Forecasts with Stable Accuracy in a Smart Home. The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016), The 6th International Conference on Sustainable Energy Information Technology (SEIT 2016).

Al-Obeidat, F. (in press, 2016). A Meta-heuristic Approach for Developing PROAFTN with Decision Tree. IEEE International conference: the 3rd MEC International conference on Big Data and Smart City (ICBDSC 2016).

Shah, B. (in press, 2016). Bounded Message Delay with Threshold Time Constraint in Delay Tolerant Networks. IEEE International conference: the 3rd MEC International conference on Big Data and Smart City (ICBDSC 2016).

Al-Obeidat, F., Al-Taani, ., Belacel, N., Feltrin, L., & Banerjee, N. (2015). A Fuzzy Decision Tree for Processing Satellite Images and Landsat Data. Procedia Computer Science, Elsevier, 52, 1192–1197.

Al-Obeidat, F. & El-Alfy, E. (2014). Network Intrusion Detection Using Multi-Criteria PROAFTN Classification. IEEE conference, Information Science and Applications (ICISA), 2014.

El-Alfy, E. & Al-Obeidat, F. (2014). A multicriterion fuzzy classification method with greedy attribute selection for anomaly-based intrusion detection. Procedia Computer Science, Elsevier, 34, 55-62.

Belacel, N. & Al-Obeidat, F. (2011). A learning method for developing PROAFTN classifiers and a comparative study with decision trees. Canadian Conference on Artificial Intelligence (AI2011), Springer.
Al-Obeidat, F., Belacel, N., Carretero, J., & Mahanti, P. (2010). Automatic parameter settings for the PROAFTN classifier using hybrid particle swarm optimization. Canadian Conference on Artificial Intelligence (AI2010).

Mahanti, P., Al-Fayoumi, M., Banerjee, S., & Al-Obeidat, F. (2010). Web query reformulation using differential evolution. Trends in Applied Intelligent Systems.

Al-Obeidat, F., Belacel, N., Carretero, J., & Mahanti, P. (2009). Discretization techniques and genetic algorithm for learning the classification method proaftn. IEEE International Conference on Machine Learning and Applications, 2009. ICMLA'09..