Sensitivity-Based Anonymization of Big Data. - Mohammed Al-Zobbi; Seyed A. Shahrestani; Chun Ruan (LCN Workshops, 2016)

Towards optimal sensitivity-based anonymization for big data. - Mohammed Al-Zobbi; Seyed A. Shahrestani; Chun Ruan (ITNAC, 2017)

Implementing A Framework for Big Data Anonymity and Analytics Access Control. - Mohammed Al-Zobbi; Seyed A. Shahrestani; Chun Ruan (TrustCom/BigDataSE/ICESS, 2017)

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization. - Mohammed Al-Zobbi; Seyed A. Shahrestani; Chun Ruan (J. Big Data, 2017)

Experimenting sensitivity-based anonymization framework in apache spark. - Mohammed Al-Zobbi; Seyed A. Shahrestani; Chun Ruan (J. Big Data, 2018)

Telehealth utilization during the Covid-19 pandemic: A systematic review. - Salem Garfan; Abdullah Hussein Alamoodi; B. B. Zaidan; Mohammed Al-Zobbi; Rula A. Hamid; Jwan K. Alwan; Ibraheem Y. Y. Ahmaro; Eman Thabet Khalid; F. M. Jumaah 001; Osamah Shihab Albahri; A. A. Zaidan 001; Ahmed Shihab Albahri; et al. (Comput. Biol. Medicine, 2021)

A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models. - Belal Alsinglawi; Omar Mubin; Fady Alnajjar; Khalid Kheirallah; Mahmoud Elkhodr; Mohammed Al-Zobbi; Mauricio Novoa; Mudassar Arsalan; Tahmina Nasrin Poly; Munkhjargal Gochoo; Gulfaraz Khan; Kapal Dev (Neural Comput. Appl., 2023)