Automated Identification of Security Requirements: A Machine Learning Approach. - Armin Kobilica; Mohammed Ayub; Jameleddine Hassine (EASE, 2020)

URLCam: Toolkit for malicious URL analysis and modeling. - Mohammed Ayub; El-Sayed M. El-Alfy (J. Intell. Fuzzy Syst., 2021)

Concurrent kernel execution and interference analysis on GPUs using deep learning approaches. - Mohammed Ayub; Tarek Helmy (J. King Saud Univ. Comput. Inf. Sci., 2022)

Distributed Intrusion Detection Systems Based on Deep Learning Techniques and Boosting Ensemble. - Mohammed Ayub; Yasser El-Alfy; Ayaz H. Khan (ICFNDS, 2023)

Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation. - Mohammed Ayub; El-Sayed M. El-Alfy (IEEE Access, 2023)

G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field. - Mohammed Ayub; El-Sayed M. El-Alfy (ICONIP (5), 2024)

Enhanced First-Break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks. - Mohammed Ayub; Sanlinn I. Kaka (IEEE Trans. Geosci. Remote. Sens., 2024)

Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling. - Mohammed Ayub; Mauro Annarumma; Gaston Liberman; David Algorry; Kostis Gourgoulias; Najah Ghalyan; Sean J. Moran (FinanSE@ICSE, 2025)

ADkit: A Framework for Anomaly Detection from Natural Language. - Kostis Gourgoulias; Senad Ibraimoski; Alexandru-Petre Cazan; Mohammed Ayub; Andre Frade; Leandro Martin Rios; Sean J. Moran (FinanSE@ICSE, 2025)

Household Appliance Identification Using Vision Transformers and Multimodal Data Fusion. - Mohammed Ayub; El-Sayed M. El-Alfy (IEEE Trans. Consumer Electron., 2025)