| Multi-Task Learning as enabler for General-Purpose AI-native RAN H Farooq, J Forgeat, S Bothe, K Cyras, M Moin arXiv preprint arXiv:2404.15197, 2024 | | 2024 |
| Decentralized coordinated reinforcement learning for optimizing radio access networks M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour US Patent App. 18/255,362, 2024 | | 2024 |
| Minimization of drive test report validation H Farooq, J Forgeat, M Liljenstam, M Shirazipour US Patent App. 18/252,380, 2024 | | 2024 |
| Time-Series Prediction using Nature-Inspired Small Models and Curriculum Learning S Bothe, H Farooq, J Forgeat, K Cyras 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 1 | 2023 |
| Method for efficient distributed machine learning hyperparameter search H Farooq, J Forgeat, M Shirazipour US Patent App. 17/995,300, 2023 | 1 | 2023 |
| 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 |
| An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks A Ijaz, W Raza, H Farooq, M Manalastas, A Imran IEEE Network, 2023 | 1 | 2023 |
| A framework to address mobility management challenges in emerging networks SMA Zaidi, H Farooq, A Rizwan, A Abu-Dayya, A Imran IEEE Wireless Communications 30 (4), 90-97, 2023 | 4 | 2023 |
| Proactive Mobile Network Optimization A Imran, H Farooq, A Asghar US Patent App. 17/617,505, 2022 | 3 | 2022 |
| Edge-distributed coordinated hyper-parameter search for energy saving SON use-case H Farooq, J Forgeat, S Bothe, M Bouton, P Karlsson 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 1 | 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 | 8 | 2022 |
| Coordinated reinforcement learning for optimizing mobile networks M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour, P Karlsson arXiv preprint arXiv:2109.15175, 2021 | 17 | 2021 |
| Coordinated hyper-parameter search for edge machine learning in beyond-5g networks H Farooq, J Forgeat, S Bothe, M Bouton, M Shirazipour, P Karlsson 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 2 | 2021 |
| Enhancement of capacity and user quality of service (QoS) in mobile cellular networks A Imran, A Asghar, H Farooq US Patent 10,979,932, 2021 | 13 | 2021 |
| Entropy field decomposition based outage detection for ultra-dense networks A Asghar, H Farooq, HN Qureshi, A Abu-Dayya, A Imran IEEE Access, 2021 | 3 | 2021 |
| Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions SMA Zaidi, M Manalastas, H Farooq, A Imran IEEE Access 8, 183505-183533, 2020 | 57 | 2020 |
| Where to go next?: A realistic evaluation of AI-assisted mobility predictors for HetNets M Manalastas, H Farooq, SMA Zaidi, A Imran 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC …, 2020 | 12 | 2020 |
| Can Machine Learning Be Used to Recognize and Diagnose Coughs? C Bales, M Nabeel, C N. John, U Masood, H Naeem Qureshi, H Farooq, ... arXiv:2004.01495, 2020 | 70 | 2020 |
| Machine Learning Approach for Automatic Fault Detection and Diagnosis in Cellular Networks J Benitiz Porch, CH Foh, H Farooq, A Imran 2020 IEEE International Black Sea Conference on Communications and …, 2020 | 11 | 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 | 10 | 2020 |
