Central versus Distributed Statistical Computing Algorithms-A Comparison. - Nisha Thorakkattu Madathil; Saad Harous (UEMCON, 2020)

Privacy-Preserving ID3 Algorithms: A Comparison. - Nisha Thorakkattu Madathil; Fida Kamal Dankar (UEMCON, 2021)

Using Synthetic Data to Reduce Model Convergence Time in Federated Learning. - Fida K. Dankar; Nisha Thorakkattu Madathil (ASONAM, 2022)

AI in Education: Improving Quality for Both Centralized and Decentralized Frameworks. - Nisha Thorakkattu Madathil; Saed Alrabaee; Mousa Al-Kfairy; Rafat Damseh; Abdelkader Nasreddine Belkacem (EDUCON, 2023)

PESS: Progress Enhancing Student Support. - Nisha Thorakkattu Madathil; Winner Abula; Shooq Alaboolan; Maryam Almadhaani; Saed Alrabaee (SmartNets, 2023)

Evaluating and Boosting Cybersecurity Awareness With an AI-Integrated Mobile App. - Meera Alalawi; Nisha Thorakkattu Madathil; Simon Kebede Darota; Winner Abula; Saed Alrabaee; Suhib Bani Melhem (FIE, 2024)

Navigating Ethical Dilemmas in the Implementation of AI-Driven Educational Technologies. - Muhusina Ismail; Nisha Thorakkattu Madathil; Meera Alalawi; Shamma Alalawi; Saed Alrabaee (EDUCON, 2025)

Enhancing Federated Feature Selection Through Synthetic Data and Zero Trust Integration. - Nisha Thorakkattu Madathil; Saed Alrabaee; Abdelkader Nasreddine Belkacem (IEEE J. Sel. Areas Commun., 2025)