Aiding Traffic Prediction Servers through Self-Localization to Increase Stability in Complex Vehicular Clustering. - Iftikhar Ahmad 005; Rafidah Md Noor; Roobaea Alroobaea; Muhammad Talha 001; Zaheed Ahmed; Umm-e-Habiba; Ihsan Ali (Complex., 2021)

A cooperative heterogeneous vehicular clustering framework for efficiency improvement. - Iftikhar Ahmad 005; Rafidah Md Noor; Zaheed Ahmed; Umm-e-Habiba; Naveed Akram; Fausto Pedro García Márquez (Frontiers Inf. Technol. Electron. Eng., 2021)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements. - Umm-e-Habiba; Justus Bogner; Stefan Wagner 001 (RE Workshops, 2022)

Requirements Engineering for Explainable AI. - Umm-e-Habiba (RE, 2023)

Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives. - Umm-e-Habiba; Justus Bogner; Stefan Wagner 001 (RAIE@ICSE, 2024)

Explainable AI: A Diverse Stakeholder Perspective. - Umm-e-Habiba; Khan Mohammad Habibullah (RE, 2024)

How mature is requirements engineering for AI-based systems? A systematic mapping study on practices, challenges, and future research directions. - Umm-e-Habiba; Markus Haug; Justus Bogner; Stefan Wagner 001 (Requir. Eng., 2024)

How do ML practitioners perceive explainability? an interview study of practices and challenges. - Umm-e-Habiba; Mohammad Kasra Habib; Justus Bogner; Jonas Fritzsch; Stefan Wagner 001 (Empir. Softw. Eng., 2025)