Prof.
Mohammad
Azzeh
academic
Biography:
Mohammad Azzeh is a professor of Data Science at Princess Sumaya University for Technology. Dr. Azzeh holds PhD in computing from University of Bradford, UK and MSc in Software Engineering from University of the West of England, UK. He is currently working as a faculty staff member in Data Science department. His research interests focus on Data Science, Machine Learning, Data mining, Empirical Software Engineering, Mining Software Repositories. Dr. Azzeh is an invited referee for high quality journals and PC member of international conferences. He was a guest editor in Journal of Neural Computing and Applications (Springer). Dr. Azzeh was conference chair of the 7th and 8th international conference of Computer Science and Information Technology (2016 and 2018). Dr. Azzeh co-organized and co-chaired several special sessions/workshops: Computational Intelligence Applications in Software Engineering (CIASE 2013) at the 3rd IEEE International Conference on Communications and Information Technology (ICCIT 2013), Machine Learning for Predictive Models (MLPM 2013, 2014) at the IEEE International Conference on Machine Learning and Applications (ICMLA 2013 to 2021). He was also publicity chair of CSIT 2014 conference. Dr. Azzeh published over 40 research articles in reputable journals and conferences such as IET Software, Software: Evolution & Process, Empirical Software Engineering Applied Soft Computing and Systems & Software, Science of Computer Programming, Journal of Software Quality
الرتبة الأكاديمية:
Professor
الكلية:
كلية الملك الحسين لعلوم الحوسبة
KHCS Departments:
Data Science
Useful Link:
ORCID | SCOUPS | ISI | Google Scholar | Microsoft Academic
الهاتف:
+96265359949
الفاكس:
+96267295534
Email:
السيرة الذاتية:
Publications:
- Elsheikh, Yousef; Alqasrawi, Yousef; Azzeh, Mohammad; ,On obtaining a stable vote ranking methodology for implementing e-government strategies,Journal of King Saud University-Computer and Information Sciences,2020,Elsevier
- Azzeh, Mohammad; Nassif, Ali Bou; Attili, Imtinan;,Predicting Software Effort from Use Case Points: A Systematic Review,Science of Computer Programming,204,,102596,2020,Elsevier
- Abu-Shawish, Israa; Ghunaim, Sara; Azzeh, Mohammad; Nassif, Ali Bou,Metaheuristic Techniques in Optimizing Traffic Control Lights: A Systematic Review,2020,
- Azzeh, Mohammad; Nassif, Ali Bou; Martín, Cuauhtémoc López,Empirical analysis on productivity prediction and locality for use case points method,Software Quality Journal,29,2,309-336,2021,Springer US
- Alqwadri, Ahmad; Azzeh, Mohammad; Almasalha, Fadi,Application of Machine Learning for Online Reputation Systems,International Journal of Automation and Computing,18,,1-11,2021,International Journal of Automation and Computing
- AL-Oudat, Mohammad; Azzeh, Mohammad; Qattous, Hazem; Migdady, Hazem; AL-Munaizel, Tareq,Automatic Intrahepatic Biliary Segmentation Based Image Processing,Advances in Mechanics,9,3,472–488,2021,
- Cuauhtémoc López-Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou-Nassif, Shadi Banitaan, Transformed k-nearest neighborhood output distance minimization for predicting the Defect Density of Software Projects, Journal of Systems and Software, 110592,2020,Elsevier
- Yousef Elsheikh, Yousef Alqasrawi, Mohammad Azzeh, On obtaining a stable vote ranking methodology for implementing e-government strategies, Journal of King Saud University-Computer and Information Sciences,2020,Elsevier
- Mohammad Azzeh, Ali Bou Nassif, Imtinan Attili, Predicting Software Effort from Use Case Points: A Systematic Review, Science of Computer Programming, vol. 204, 2020, Elsevier
- Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran; Software Development Effort Estimation Using Regression Fuzzy Models, Computational Intelligence and Neuroscience, vol. 2019, Article ID 8367214, 17 pages, 2019. [ISI]
- Ali Bou Nassif, Ismail Shahin, Imtinan Attili, Mohammad Azzeh, Khaled Shaalan, Speech Recognition Using Deep Neural Networks: A Systematic Review, , IEEE Access, vol. 7 (1), pp. 19143-19165, 2019, IEEE. [ISI]
- Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López-Martín, Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points, 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1427-1431,2018, IEEE.
- Cuauhtémoc López-Martín, Mohammad Azzeh, Ali Bou-Nassif, Shadi Banitaan, Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects, 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1377-1382,2018, IEEE.
- Ali Bou Nassif, Omar, Mahdi, Qassim Nasir, Manar Talib, Mohammad Azzeh, Machine Learning Classifications of Coronary Artery Disease, , 2018.
- Mohammad Azzeh; Ali Bou Nassif; Project productivity evaluation in early software effort estimation, Journal of Software: Evolution and Process,30,12, e2110,2018. [ISI]
- Mohammad Azzeh, Mohammad Hijjawi, Ahmad M. Altamimi; Online Reputation Model Using Multiple Quality Factors, International Journal on Advanced Science, Engineering and Information Technology,8,6,2612-2619,2018. [ISI]
- Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan ; Comparative analysis of soft computing techniques for predicting software effort based use case points, Journal of IET Software 12(1), pp. 19-29, 2018. [ISI]
- Mohammad Azzeh, Ali Bou Nassif; Analyzing the relationship between project productivity and environment factors in the use case points method, Journal of Software: Evolution and Process 29(9), 1882, 2017.
- Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Robust Rank Aggregation method for Case-Base effort estimation, Canadian Conference on Electrical and Computer Engineering, 2017.
- Ahmad Mousa Altamimi and Mohammad Azzeh; Evaluating the Accuracy of Using Cross Datasets to Predict New Local Heart Diseases Cases, Journal of Theoretical & Applied Information Technology, 2017. [ISI]
- Mohammad Azzeh ; Comparative Analysis of Online Rating Systems , International Journal of Advanced Computer Science and Applications, 2017. [ISI]
- Mohammad Azzeh ; Online Reputation Model Using Moving Window, International Journal of Advanced Computer Science and Applications,2017. [ISI]
- M. Azzeh, A. B. Nassif, A Hybrid model for estimating software project effort from Use case Points. Applied Soft Computing , Elsevier,[2015 ISI impact factor 2.81]
- A. B. Nassif, M. Azzeh, L.F. Capretz, D. Ho, Neural Network Models for Software Development Effort Estimation: A Comparative Study, Journal of Neural Computing and Applications, 2015, Springer (In Press) [2015 ISI impact factor 1.569]
- S. Banitaan, A. B. Nassif, M. Azzeh, Class Decomposition using Kmeans and Hierarchical Clustering,14th International Conference on Machine Learning and Applications (ICMLA),2015, IEEE
- M. Azzeh, A. B. Nassif, S. Banitaan, An Application of Classification and Class Decomposition to Use Case Point Estimation Method, 14th International Conference on Machine Learning and Applications (ICMLA),2015, IEEE
- M. Azzeh, A. B. Nassif, S. Banitaan, F. Masalha. Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation, Journal of Neural Computing and Applications, 2015, Springer [2015 ISI impact factor 1.569]
- M. Azzeh, A. B. Nassif, L Minku, An Empirical Evaluation of Ensemble Adjustment Methods for Analogy-Based Effort Estimation, Journal of Systems and Software, 2015, Elsevier [2015 ISI impact factor 1.352]
- M. Azzeh, A. B.Nassif , Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics, Journal of IET Software, Vol. 9,no. 2, pp. 39-50, 2015, IET Digital Library [2014 ISI impact factor 0.595]
- M Azzeh, A. B. Nassif, S. Banitaan, A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization, 2014 13th International Conference on Machine Learning and Applications (ICMLA), pp. 409 - 414,2014, IEEE
- M Azzeh, Y Elsheikh, M Alseid, An Optimized Analogy-Based Project Effort Estimation, International Journal of Advanced Computer Science & Applications 5 (4) [2014 ISI impact factor 1.32]
- Yousef Elsheikh, Mohammad Azzeh, What Facilitates the Delivery of Citizen-Centric E-Government Services in Developing Countries: Model Development and Validation Through Structural Equation Modeling, International Journal of Computer Science.
- M Alseid, M Azzeh, Y El Sheikh, A Comparative Usability Study on the Use of Auditory Icons to Support Virtual Lecturers in E-Learning Interfaces, Journal of Advanced Computer Science & Applications 5 (4) [2014 ISI impact factor 1.32]
- Azzeh, M., Alseid, M., (2013) Value of Ranked Voting Methods for Analogy-Based estimation, Journal of IET Software, (2013) [2015 ISI impact factor 0.536]
- Azzeh, M. (2013) Dataset Quality Assessment: An extension for analogy based effort estimation International Journal of Computer Science & Engineering.
- Azzeh, M., Nassif, A B. (2013) Fuzzy Model Tree for early Effort Estimation The 12th International Conference On machine Learning and Applications, Miami, USA,2013. IEEEXplore
- Nassif, A. B., Azzeh, M., Ho, D., Capretz, L. F., (2013). A Comparison Between Decision Trees and Decision Tree Forest Models for Software Effort Estimation, A special session on Computational intelligence Applications in Software engineering- The 3rd international conference on communication and information technology ICCIT, Lebanon, IEEEXplore.
- Azzeh M., (2013) Software Cost Estimation Based on Use Case Points for Global Software Development. The 5th International Conference on Computer Science and Information Technology CSIT, Jordan. IEEEXplore.
- Alseid, M., Azzeh, M., Elsheikh, Y., (2013) Employing Auditory Icons to Support Virtual Lecturers in E-Learning Interfaces A Proposed Comparative Usability Study, The 5th International Conference on Computer Science and Information Technology CSIT, Jordan. IEEE.
- Nassif, Ali Bou; Capretz, Luiz Fernando; Ho, Danny; Azzeh, M. (2012) A Treeboost Model for Software Effort Estimation Based on Use Case Points, 11th International Conference on Machine Learning and Applications (ICMLA), 314-319. IEEE
- Azzeh, M., Elsheikh, Y. (2012) Learning Best K analogies from Data Distribution for Case-Based Software Effort Estimation, ICSEA 2012, The Seventh International Conference on Software Engineering Advances, 341-347
- Azzeh, M., (2012), A Replicated Assessment and Comparison of Adaptations Techniques for CBR. Journal of Empirical Software Engineering, Springer. [2011 ISI impact factor 1.854]
- Azzeh, M, (2011) Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm. KES (2) 2011: 315-324. Germany, Springer.
- Azzeh, M (2011) Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy. IEEE CIT 2011. Cyprus. IEEEXplore.
- Azzeh, M (2011), Software Effort Estimation based on optimized model tree, 7th international conference on software predictor models. Canada. ACM
- Azzeh, M., Neagu, D. & Cowling, P., Analogy-Based Software Effort Estimation based on Fuzzy Numbers, Journal of System & Software, Elsevier. [2011 ISI impact factor 1.35]
- Azzeh, M., Cowling, P. & Neagu, D. (2010), Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory, The 10th IEEE international conference on computer and information technology. IEEEXplore
- Azzeh, M., Neagu, D. & Cowling, P. (2010), Fuzzy grey relational analysis for software effort estimation, Journal of Empirical Software Engineering, Springer, Vol. 15, Issue 1, 60-90. [2010 ISI impact factor 1.776]
- Azzeh, M., Neagu, D. & Cowling, P. (2009), Software effort estimation based on weighted fuzzy grey relational analysis, 5th international conference on software predictor models, Co-located with ICSE’31, Article number 8. ACM
- Azzeh, M., Neagu, D. & Cowling, P. (2008c), Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. 3rd International conference on software and data technology ICSOFT (SE/MUSE/GSDCA), 127-132.
- Azzeh, M., Neagu, D. & Cowling, P. (2008b), Software project similarity measurement based on Fuzzy c-Means, In: International Conference on software process, Leipzig, Germany, 123-134. ACM
- Azzeh, M., Neagu, D. & Cowling, P. (2008a), Fuzzy Feature Subset Selection for Software Effort Estimation, In: International workshop on software predictors PROMISE'08 (part of ICSE'08), Leipzig, Germany, 71-78. ACM
- Azzeh, M., Neagu, D. & Cowling, P. (2007), An Overview of Web Cost Estimation, proceedings of the 8th Informatics Workshop, University of Bradford, 96-99.