| 2023 | ANT | Deep Learning for Accurate Detection of Brute Force attacks on IoT Networks. | Ahmed Fawzi Otoom, Wafa' Eleisah, Emad E. Abdallah |
| 2022 | ANT | Intrusion Detection Systems using Supervised Machine Learning Techniques: A survey. | Emad E. Abdallah, Wafa' Eleisah, Ahmed Fawzi Otoom |
| 2014 | SOFA | Local Search Algorithms for Solving the Combinatorial Optimization and Constraint Satisfaction Problems. | Yousef Kilani, Ayoub Alsarhan, Mohammad Bsoul, Ahmed Fawzi Otoom |
| 2009 | ACIVS | Mixtures of Normalized Linear Projections. | Ahmed Fawzi Otoom, scar Prez Concha, Hatice Gunes, Massimo Piccardi |
| 2008 | ICIP | Feature extraction techniques for abandoned object classification in video surveillance. | Ahmed Fawzi Otoom, Hatice Gunes, Massimo Piccardi |
| 2008 | ICPR | Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification. | Massimo Piccardi, Hatice Gunes, Ahmed Fawzi Otoom |
| 2008 | SMC | Comparative performance analysis of feature sets for abandoned object classification. | Ahmed Fawzi Otoom, Hatice Gunes, Massimo Piccardi |
| 2005 | KES | A Performance Comparison of High Capacity Digital Watermarking Systems. | Yuk Ying Chung, Penghao Wang, Xiaoming Chen, Changseok Bae, Ahmed Fawzi Otoom, Tich Phuoc Tran |