The Challenges & Case for Mining Software Repositories. - Muhammad Saad Razzaq; Fahad Maqbool; Bilal Anjum; Samreen Zafar; Umme Laila; Faiza Noor (IMECS, 2007)

Open Source Software (OSS) Adoption Framework for Local Environment and its Comparison. - Umm-e Laila; Syed Faisal Ahmed Bukhari (SCSS, 2009)

Using Keystroke-Level Model to analyze IOS optimization techniques. - Umm-e Laila; Syed Zain Ali Shah; Nadia Ishaque (ICITST, 2011)

Using Keystroke-Level Model to Analyze Advance IOS Optimization Techniques. - Umm-e Laila; Mehjabeen Zahra Rizvi; Mohammad Murtaza; Syed Zain Ali Shah (CICSyN, 2012)

Investigating learning outcomes in engineering education with data mining. - Khalid Mahboob; Syed A. Ali; Umm-e Laila (Comput. Appl. Eng. Educ., 2020)

An Ensemble Approach to Predict Early-Stage Diabetes Risk Using Machine Learning: An Empirical Study. - Umm-e Laila; Khalid Mahboob; Abdul Wahid Khan; Faheem Khan; Whangbo Taekeun (Sensors, 2022)

Mission-critical open-source software adoption model validation using Partial Least Square - Structural Equation Modeling. - Umm-e Laila; Najeed Ahmed; Asad Arfeen; Agha Yasir Ali; Mohammad Khurram; Muzammil Ahmed Khan (J. Softw. Evol. Process., 2023)

Editorial: Ubiquitous Computing Entity-aware Data Management on Mobile Devices. - Faheem Khan; Rahat Ullah; Umm-e Laila (Mob. Networks Appl., 2024)

Advancing Early Diagnosis: Investigating Breast Cancer Cell Segmentation with Deep Learning and Transfer Learning Approaches. - Nida Khalil; Khalid Mahboob; Umme Laila; Manal A. Asiri; Muhammad Noman Saeed; Ahmad Mufarreh Almufarreh; Fatima Waseem; Khaled Mohammed Noaman; Farooq Ebrahim; Fazal Imam Shahi; Ali Ahmed Al-Makramani (Comput. Informatics, 2025)

Innovative hardware and architectures for ubiquitous data science. - Faheem Khan; Umm-e Laila; Muhammad Adnan Khan 001 (Int. J. Data Sci. Anal., 2025)