| 2023 | EASE | A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models. | Dorieh M. Alomari, Fatima M. Anis, Maryam Ahmed Alabdullatif, Hamoud Aljamaan |
| 2023 | EASE | Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey. | Norah Alsunaidi, Sara Aljbali, Yasmin Yasin, Hamoud Aljamaan |
| 2021 | ICMLA | Voting Heterogeneous Ensemble for Code Smell Detection. | Hamoud Aljamaan |
| 2015 | MODELS | UmpleRun: a Dynamic Analysis Tool for Textually Modeled State Machines using Umple. | Hamoud Aljamaan, Timothy Lethbridge, Miguel Garzn, Andrew Forward |
| 2014 | MODELSWARD | Specifying Trace Directives for UML Attributes and State Machines. | Hamoud Aljamaan, Timothy C. Lethbridge, Omar Bahy Badreddin, Geoffrey Guest, Andrew Forward |
| 2014 | MODELSWARD | Enhanced Code Generation from UML Composite State Machines. | Omar Bahy Badreddin, Timothy C. Lethbridge, Andrew Forward, Maged Elaasar, Hamoud Aljamaan, Miguel Garzn |
| 2013 | IWANN | An Ensemble of Computational Intelligence Models for Software Maintenance Effort Prediction. | Hamoud Aljamaan, Mahmoud O. Elish, Irfan Ahmad |
| 2009 | CIDM | An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software. | Hamoud Aljamaan, Mahmoud O. Elish |