| A survey of machine and deep learning methods for internet of things (IoT) security MA Al-Garadi, A Mohamed, AK Al-Ali, X Du, I Ali, M Guizani IEEE communications surveys & tutorials 22 (3), 1646-1685, 2020 | 1223 | 2020 |
| A robust human activity recognition system using smartphone sensors and deep learning MM Hassan, MZ Uddin, A Mohamed, A Almogren Future Generation Computer Systems 81, 307-313, 2018 | 713 | 2018 |
| Edge computing for smart health: Context-aware approaches, opportunities, and challenges AA Abdellatif, A Mohamed, CF Chiasserini, M Tlili, A Erbad IEEE Network 33 (3), 196-203, 2019 | 276 | 2019 |
| Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions R Shakeri, MA Al-Garadi, A Badawy, A Mohamed, T Khattab, AK Al-Ali, ... IEEE Communications Surveys & Tutorials 21 (4), 3340-3385, 2019 | 266 | 2019 |
| RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database MF Al-Sa’d, A Al-Ali, A Mohamed, T Khattab, A Erbad Future Generation Computer Systems 100, 86-97, 2019 | 243 | 2019 |
| Medge-chain: Leveraging edge computing and blockchain for efficient medical data exchange AA Abdellatif, L Samara, A Mohamed, A Erbad, CF Chiasserini, M Guizani, ... IEEE Internet of Things Journal 8 (21), 15762-15775, 2021 | 151 | 2021 |
| Optimal user-edge assignment in hierarchical federated learning based on statistical properties and network topology constraints N Mhaisen, AA Abdellatif, A Mohamed, A Erbad, M Guizani IEEE Transactions on Network Science and Engineering 9 (1), 55-66, 2021 | 130 | 2021 |
| ssHealth: toward secure, blockchain-enabled healthcare systems AA Abdellatif, AZ Al-Marridi, A Mohamed, A Erbad, CF Chiasserini, ... IEEE Network 34 (4), 312-319, 2020 | 120 | 2020 |
| Efficient ECG compression and QRS detection for e-health applications M Elgendi, A Mohamed, R Ward Scientific reports 7 (1), 459, 2017 | 119 | 2017 |
| Spatiotemporal data mining: a survey on challenges and open problems A Hamdi, K Shaban, A Erradi, A Mohamed, SK Rumi, FD Salim Artificial Intelligence Review, 1-48, 2022 | 112 | 2022 |
| DroneRF dataset: A dataset of drones for RF-based detection, classification and identification MHDS Allahham, MF Al-Sa'd, A Al-Ali, A Mohamed, T Khattab, A Erbad Data in brief 26, 104313, 2019 | 111 | 2019 |
| Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence E Baccour, N Mhaisen, AA Abdellatif, A Erbad, A Mohamed, M Hamdi, ... IEEE Communications Surveys & Tutorials 24 (4), 2366-2418, 2022 | 110 | 2022 |
| A survey of blockchain enabled cyber-physical systems H Rathore, A Mohamed, M Guizani Sensors 20 (1), 282, 2020 | 108 | 2020 |
| Ensemble classifier for epileptic seizure detection for imperfect EEG data K Abualsaud, M Mahmuddin, M Saleh, A Mohamed The Scientific World Journal 2015 (1), 945689, 2015 | 106 | 2015 |
| Multimodal deep learning approach for joint EEG-EMG data compression and classification AB Said, A Mohamed, T Elfouly, K Harras, ZJ Wang 2017 IEEE wireless communications and networking conference (WCNC), 1-6, 2017 | 103 | 2017 |
| Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data AA Abdellatif, N Mhaisen, A Mohamed, A Erbad, M Guizani, Z Dawy, ... Future Generation Computer Systems 128, 406-419, 2022 | 96 | 2022 |
| Quality-of-service mechanisms in IP-over-WDM networks A Kaheel, T Khattab, A Mohamed, H Alnuweiri IEEE Communications Magazine 40 (12), 38-43, 2002 | 96 | 2002 |
| Energy efficient path planning techniques for UAV-based systems with space discretization S Ahmed, A Mohamed, K Harras, M Kholief, S Mesbah 2016 IEEE wireless communications and networking conference, 1-6, 2016 | 93 | 2016 |
| TIDCS: A dynamic intrusion detection and classification system based feature selection Z Chkirbene, A Erbad, R Hamila, A Mohamed, M Guizani, M Hamdi IEEE access 8, 95864-95877, 2020 | 86 | 2020 |
| Deep learning for RF-based drone detection and identification: A multi-channel 1-D convolutional neural networks approach MS Allahham, T Khattab, A Mohamed 2020 IEEE International Conference on Informatics, IoT, and Enabling …, 2020 | 86 | 2020 |
Mohsen Guizani, FIEEEMohamed Bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at mbzuai.ac.ae
