Deep Learning Based Detection of Sleeping Cells in Next Generation Cellular Networks. - Usama Masood; Ahmad Asghar; Ali Imran 001; Adnan Noor Mian (GLOBECOM, 2018)

A Machine Learning Based 3D Propagation Model for Intelligent Future Cellular Networks. - Usama Masood; Hasan Farooq; Ali Imran 001 (GLOBECOM, 2019)

Graph Signal Processing-Based Network Health Estimation for Next Generation Wireless Systems. - Faisal Yaseen; Usama Masood; Ahmad Nayyar Hassan; Ijaz Haider Naqvi (IEEE Commun. Lett., 2019)

Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks. - Shruti Bothe; Usama Masood; Hasan Farooq; Ali Imran 001 (BlackSeaCom, 2020)

A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters. - Joel Shodamola; Usama Masood; Marvin Manalastas; Ali Imran 001 (BlackSeaCom, 2020)

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App. - Ali Imran 001; Iryna Posokhova; Haneya Naeem Qureshi; Usama Masood; Sajid Riaz; Kamran Ali; Charles N. John; Muhammad Nabeel (CoRR, 2020)

Can Machine Learning Be Used to Recognize and Diagnose Coughs? - Charles Bales; Charles N. John; Hasan Farooq; Usama Masood; Muhammad Nabeel; Ali Imran 001 (CoRR, 2020)

Towards Addressing the Spatial Sparsity of MDT Reports to Enable Zero Touch Network Automation. - Joel Shodamola; Haneya Naeem Qureshi; Usama Masood; Ali Imran 001 (GLOBECOM, 2021)

Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks. - Sajid Riaz; Haneya Naeem Qureshi; Usama Masood; Ali Rizwan 001; Adnan A. Abu-Dayya; Ali Imran 001 (WCNC, 2022)

Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed. - Marvin Manalastas; Muhammad Nabeel; Aneeqa Ijaz; Syed Muhammad Asad Zaidi; Usama Masood; Haneya Naeem Qureshi; Hazem H. Refai; Ali Imran 001 (IEEE Access, 2022)

A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports. - Muhammad Sajid Riaz; Haneya Naeem Qureshi; Usama Masood; Ali Rizwan 001; Adnan A. Abu-Dayya; Ali Imran 001 (IEEE Access, 2022)

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. - Haneya Naeem Qureshi; Usama Masood; Marvin Manalastas; Syed Muhammad Asad Zaidi; Hasan Farooq; Julien Forgeat; Maxime Bouton; Shruti Bothe; Per Karlsson; Ali Rizwan 001; Ali Imran 001 (IEEE Commun. Surv. Tutorials, 2023)

Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. - Haneya Naeem Qureshi; Usama Masood; Marvin Manalastas; Syed Muhammad Asad Zaidi; Hasan Farooq; Julien Forgeat; Maxime Bouton; Shruti Bothe; Per Karlsson; Ali Rizwan 001; Ali Imran 001 (CoRR, 2023)

Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey. - Aneeqa Ijaz; Muhammad Nabeel; Usama Masood; Tahir Mahmood; Mydah Sajid Hashmi; Iryna Posokhova; Ali Rizwan 001; Ali Imran 001 (CoRR, 2023)

Interpretable AI-Based Large-Scale 3D Pathloss Prediction Model for Enabling Emerging Self-Driving Networks. - Usama Masood; Hasan Farooq; Ali Imran 001; Adnan A. Abu-Dayya (IEEE Trans. Mob. Comput., 2023)

An AI-Driven Framework for Enhancing Resilience in Propagation Models to Enable Digital Twin. - Waseem Raza; Fahd Ahmed Khan; Haneya Naeem Qureshi; Usama Masood; Ali Imran 001 (PIMRC, 2024)