| AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app A Imran, I Posokhova, HN Qureshi, U Masood, MS Riaz, K Ali, CN John, ... Informatics in Medicine Unlocked 20, 100378, 2020 | 629 | 2020 |
| Can machine learning be used to recognize and diagnose coughs? C Bales, M Nabeel, CN John, U Masood, HN Qureshi, H Farooq, ... 2020 International Conference on e-Health and Bioengineering (EHB), 1-4, 2020 | 70 | 2020 |
| A Machine Learning Based 3D Propagation Model for Intelligent Future Cellular Networks U Masood, H Farooq, A Imran 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 58 | 2019 |
| Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey A Ijaz, M Nabeel, U Masood, T Mahmood, MS Hashmi, I Posokhova, ... Informatics in Medicine Unlocked 29, 100832, 2022 | 44 | 2022 |
| Deep learning based detection of sleeping cells in next generation cellular networks U Masood, A Asghar, A Imran, AN Mian 2018 IEEE Global Communications Conference (GLOBECOM), 206-212, 2018 | 25 | 2018 |
| A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters J Shodamola, U Masood, M Manalastas, A Imran 2020 IEEE International Black Sea Conference on Communications and …, 2020 | 15 | 2020 |
| Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks S Bothe, U Masood, H Farooq, A Imran 2020 IEEE International Black Sea Conference on Communications and …, 2020 | 8 | 2020 |
| Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks MS Riaz, HN Qureshi, U Masood, A Rizwan, A Abu-Dayya, A Imran 2022 IEEE Wireless Communications and Networking Conference (WCNC), 746-751, 2022 | 7 | 2022 |
| Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks U Masood, H Farooq, A Imran, A Abu-Dayya IEEE Transactions on Mobile Computing, 2022 | 7 | 2022 |
| Towards Addressing the Spatial Sparsity of MDT Reports to Enable Zero Touch Network Automation J Shodamola, H Qureshi, U Masood, A Imran 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 6 | 2021 |
| Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework HN Qureshi, U Masood, M Manalastas, SMA Zaidi, H Farooq, J Forgeat, ... IEEE Communications Surveys & Tutorials, 2023 | 5 | 2023 |
| Graph Signal Processing-Based Network Health Estimation for Next Generation Wireless Systems F Yaseen, U Masood, AN Hassan, IH Naqvi IEEE Communications Letters 23 (1), 104-107, 2018 | 5 | 2018 |
| A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports MS Riaz, HN Qureshi, U Masood, A Rizwan, A Abu-Dayya, A Imran IEEE Access 10, 67140-67151, 2022 | 4 | 2022 |
| Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed M Manalastas, M Nabeel, A Ijaz, SMA Zaidi, U Masood, HN Qureshi, ... IEEE Access, 2022 | 1 | 2022 |
| Identifying a performance issue associated with a 5g wireless telecommunication network U Masood, O Coudert, B Raman, N Chandrasekaran, J Alam US Patent App. 17/884,031, 2024 | | 2024 |
| Communication Network Management using Generative Large Language Model U Masood US Patent App. 18/389,706, 2023 | | 2023 |
| Artificial Intelligence-based Network Modeling for enabling Zero Touch Automation in Next Generation Cellular Networks U Masood | | 2023 |
