Disruptive Innovation: A Dedicated Forecasting Framework. - Sanaa Diab; John Kanyaru; Hind Zantout (KES-AMSTA, 2015)

Open Challenges in Security of Cloud Computing. - Salih Ismail; Hani Ragab Hassen; Hind Zantout (BDAW, 2016)

A Novel Method That Identifies The Hidden Properties Of A Person's Name In Kanji Or Hanzi. - Hua Zhao; Fairouz Kamareddine; Alasdair J. G. Gray; Hind Zantout (MISNC, 2021)

A review of amplification-based distributed denial of service attacks and their mitigation. - Salih Ismail; Hani Ragab Hassen; Mike Just; Hind Zantout (Comput. Secur., 2021)

Assessment of Pharmaceutical Patent Novelty with Siamese Neural Networks. - Heba El-Shimy; Hind Zantout; Hani Ragab Hassen (ANNPR, 2022)

A Review of Capsule Networks in Medical Image Analysis. - Heba El-Shimy; Hind Zantout; Michael A. Lones; Neamat El Gayar (ANNPR, 2022)

SI22: A dataset for analysis of DoS attack on the Cloud. - Salih Ismail; Hani Ragab Hassen; Mike Just; Hind Zantout (UCC, 2022)

An in-depth review of machine learning based Android malware detection. - Ali Muzaffar; Hani Ragab Hassen; Michael A. Lones; Hind Zantout (Comput. Secur., 2022)

A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection. - Ali Muzaffar; Hani Ragab Hassen; Hind Zantout; Michael A. Lones (CoRR, 2023)

DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. - Ali Muzaffar; Hani Ragab Hassen; Hind Zantout; Michael A. Lones (CoRR, 2023)

Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers. - Smitha S. Kumar; Michael Adam Lones; Manuel Maarek; Hind Zantout (LLM4CODE@ICSE, 2024)

ActDroid: An active learning framework for Android malware detection. - Ali Muzaffar; Hani Ragab Hassen; Hind Zantout; Michael A. Lones (CoRR, 2024)

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges. - Heba El-Shimy; Hind Zantout; Michael A. Lones; Neamat El Gayar (CoRR, 2025)

Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education. - Smitha S. Kumar; Michael A. Lones; Manuel Maarek; Hind Zantout (CoRR, 2025)