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Alaa Awad Abdellatif
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2020 – today
- 2024
[j24]Alaa Awad Abdellatif, Khaled Bashir Shaban, Ahmed M. Massoud:
SDCL: A Framework for Secure, Distributed, and Collaborative Learning in Smart Grids. IEEE Internet Things Mag. 7(3): 84-90 (2024)- [j23]Alaa Awad Abdellatif, Noor Khial, Helmy M. El Zoghby, Amr Mohamed, Aiman Erbad, Khaled B. Shaban:
ODL: Opportunistic Distributed Learning for Intelligent IoT Systems. IEEE Internet Things Mag. 7(4): 92-99 (2024) - [j22]Amr E. Aboeleneen
, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohammad:
ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework. IEEE Open J. Commun. Soc. 5: 2567-2584 (2024) - [c35]Amr Abo-eleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation. CCNC 2024: 71-76 - [c34]Noor Khial, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini:
Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems. CCNC 2024: 604-605 - [i15]Alaa Awad, Mohamed Hegazy, Salah A. Aly:
Early Diagnoses of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models. CoRR abs/2410.10701 (2024) - 2023
- [j21]Muhammad Usman Afzal, Alaa Awad Abdellatif, Muhammad Zubair, Muhammad Qasim Mehmood, Yehia Massoud:
Privacy and Security in Distributed Learning: A Review of Challenges, Solutions, and Open Research Issues. IEEE Access 11: 114562-114581 (2023) - [j20]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues. IEEE Internet Things J. 10(24): 21982-22007 (2023) - [j19]Alaa Awad Abdellatif, Amr Abo-eleneen, Amr Mohamed, Aiman Erbad, Nikhil V. Navkar, Mohsen Guizani:
Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks. IEEE Trans. Netw. Serv. Manag. 20(2): 1024-1039 (2023) - [c33]Alaa Awad Abdellatif, Mhd Saria Allahham, Noor Khial, Amr Mohamed, Aiman Erbad, Khaled B. Shaban:
Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems. ICC 2023: 1622-1627 - [c32]Alaa Awad Abdellatif, Aya A. Amer, Khaled Bashir Shaban, Ahmed M. Massoud:
A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids. ICNC 2023: 558-562 - [c31]Sadia Noureen, Iqrar Hussain Syed, Alaa Awad Abdellatif, Muhammad Qasim Mehmood, Yehia Massoud:
Reducing Complexity and data-set-Size Through Physics Inspired Tandem Neural Network. ISCAS 2023: 1-5 - [c30]Ahmed Makhlouf, Alaa Awad Abdellatif, Ahmed Badawy, Amr Mohamed:
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture. WiMob 2023: 155-160 - [i14]Alaa Awad, Denisa A. O. Roberts, Eden Dolev, Andrea Heyman, Zahra Ebrahimzadeh, Zoe Weil, Marcin Mejran, Vaibhav Malpani, Mahir Yavuz:
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads. CoRR abs/2302.01255 (2023) - [i13]Eden Dolev, Alaa Awad, Denisa A. O. Roberts, Zahra Ebrahimzadeh, Marcin Mejran, Vaibhav Malpani, Mahir Yavuz:
Efficient Large-Scale Vision Representation Learning. CoRR abs/2305.13399 (2023) - 2022
- [j18]Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence. IEEE Commun. Surv. Tutorials 24(4): 2366-2418 (2022) - [j17]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine:
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. Future Gener. Comput. Syst. 128: 406-419 (2022) - [j16]Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 1287-1300 (2022) - [j15]Naram Mhaisen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints. IEEE Trans. Netw. Sci. Eng. 9(1): 55-66 (2022) - [j14]Zina Chkirbene, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems. IEEE Trans. Netw. Sci. Eng. 9(1): 258-270 (2022) - [c29]Hassan Saadat, Mhd Saria Allahham, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning. IWCMC 2022: 548-553 - [c28]M. Hashem Shullar, Alaa Awad Abdellatif, Yehia Massoud:
Energy-Efficient Active Federated Learning on Non-IID Data. MWSCAS 2022: 1-4 - [c27]Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks. WCNC 2022: 262-267 - [c26]Amr Abo-eleneen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad:
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT. WTS 2022: 1-6 - [d1]Alaa Awad Abdellatif, Zina Chkirbene, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Mark Dennis O'Connor, James Laughton, Anthony Villacorte, Johansen Menez:
EEG Data for Patients Receiving Intravenous Antibiotic Medication. IEEE DataPort, 2022
- [i12]Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks. CoRR abs/2202.10308 (2022) - 2021
- [j13]Yahuza Bello, Alaa Awad Abdellatif, Mhd Saria Allahham, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. IEEE Access 9: 158204-158214 (2021) - [j12]Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Elias Yaacoub, Mohsen Guizani:
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning. IEEE Internet Things J. 8(8): 6454-6468 (2021) - [j11]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton:
MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange. IEEE Internet Things J. 8(21): 15762-15775 (2021) - [j10]Alaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino, Amr Mohamed, Aiman Erbad:
Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles. IEEE Trans. Veh. Technol. 70(4): 3059-3070 (2021) - [c25]Heba D. M. Dawoud, Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [c24]Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad:
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. GLOBECOM 2021: 1-6 - [c23]Alaa Awad Abdellatif, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems. ICC 2021: 1-6 - [i11]Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. CoRR abs/2105.01798 (2021) - [i10]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine:
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data. CoRR abs/2107.06548 (2021) - [i9]Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. CoRR abs/2108.04087 (2021) - [i8]Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad:
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. CoRR abs/2108.10748 (2021) - 2020
- [j9]Alaa Awad Abdellatif, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Ahmed Refaey:
ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems. IEEE Netw. 34(4): 312-319 (2020) - [c22]Salma Shalaby, Alaa Awad Abdellatif, Abdulla K. Al-Ali, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Performance Evaluation of Hyperledger Fabric. ICIoT 2020: 608-613 - [c21]Alaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino:
Active Learning-based Classification in Automated Connected Vehicles. INFOCOM Workshops 2020: 598-603 - [c20]Zina Chkirbene, Abeer Z. Al-Marridi, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mark Dennis O'Connor, James Laughton, Anthony Villacorte, Johansen Menez:
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication. IWCMC 2020: 1897-1902 - [i7]Alaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino:
Active Learning-based Classification in Automated Connected Vehicles. CoRR abs/2002.07593 (2020) - [i6]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini, Mounira Tlili, Aiman Erbad:
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges. CoRR abs/2004.07311 (2020) - [i5]Alaa Awad Abdellatif, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Ahmed Refaey:
SSHealth: Toward Secure, Blockchain-Enabled Healthcare Systems. CoRR abs/2006.10843 (2020) - [i4]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Mohsen Guizani, Aiman Erbad, Abdulla K. Al-Ali:
Compress or Interfere? CoRR abs/2006.15342 (2020) - [i3]Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. CoRR abs/2012.05622 (2020) - [i2]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton:
I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management. CoRR abs/2012.14294 (2020)
2010 – 2019
- 2019
- [j8]Alaa Awad Abdellatif, Ahmed Emam, Carla-Fabiana Chiasserini, Amr Mohamed, Ali Jaoua, Rabab Ward:
Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation. Expert Syst. Appl. 117: 1-14 (2019) - [j7]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini, Mounira Tlili, Aiman Erbad:
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges. IEEE Netw. 33(3): 196-203 (2019) - [c19]Belal Essam ElDiwany, Alaa Awad Abdellatif, Amr Mohamed, Abdulla K. Al-Ali, Mohsen Guizani, Xiaojiang Du:
On Physical Layer Security in Energy-Efficient Wireless Health Monitoring Applications. ICC 2019: 1-7 - [c18]Lutfi Samara, Ala Gouissem, Alaa Awad Abdellatif, Ridha Hamila, Mazen O. Hasna:
On the Performance of Tactical Communication Interception Using Military Full Duplex Radios. PIMRC 2019: 1-6 - [c17]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Abdulla K. Al-Ali, Aiman Erbad, Mohsen Guizani:
Compress or Interfere? SECON 2019: 1-6 - [c16]Ahmed Emam, Alaa Awad Abdellatif, Amr Mohamed, Khaled A. Harras:
EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System. WCNC 2019: 1-7 - 2018
- [j6]Ahmed Ben Said, Mohamed Fathi Al-Sa'D, Mounira Tlili, Alaa Awad Abdellatif, Amr Mohamed, Tarek Elfouly, Khaled A. Harras, Mark Dennis O'Connor:
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems. IEEE Access 6: 33727-33739 (2018) - [j5]Alaa Awad Abdellatif, Mohammad Galal Khafagy, Amr Mohamed, Carla-Fabiana Chiasserini:
EEG-Based Transceiver Design With Data Decomposition for Healthcare IoT Applications. IEEE Internet Things J. 5(5): 3569-3579 (2018) - [j4]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini:
User-Centric Networks Selection With Adaptive Data Compression for Smart Health. IEEE Syst. J. 12(4): 3618-3628 (2018) - [c15]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini:
Automated class-based compression for real-time epileptic seizure detection. WTS 2018: 1-6 - 2017
- [j3]Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini:
Dynamic Network Selection in Heterogeneous Wireless Networks: A user-centric scheme for improved delivery. IEEE Consumer Electron. Mag. 6(1): 53-60 (2017) - [j2]Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini, Tarek M. El-Fouly:
Distributed in-network processing and resource optimization over mobile-health systems. J. Netw. Comput. Appl. 82: 65-76 (2017) - [c14]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini:
Concurrent association in heterogeneous networks with underlay D2D communication. IWCMC 2017: 56-61 - [c13]Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini, Tarek Elfouly:
Network Association with Dynamic Pricing over D2D-Enabled Heterogeneous Networks. WCNC 2017: 1-6 - 2016
- [c12]Alaa Awad, Amal Saad, Ali Jaoua, Amr Mohamed, Carla-Fabiana Chiasserini:
In-Network Data Reduction Approach Based on Smart Sensing. GLOBECOM 2016: 1-7 - [c11]Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini:
User-centric network selection in multi-RAT systems. WCNC 2016: 1-6 - [c10]Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini:
User-centric network selection in multi-RAT systems. WCNC Workshops 2016: 97-102 - [i1]Alaa Awad, Medhat H. M. Elsayed, Amr Mohamed:
Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System. CoRR abs/1602.04974 (2016) - 2015
- [c9]Alaa Awad, Amr Mohamed, Tarek M. Elfouly:
Energy-cost-distortion optimization for delay-sensitive M-health applications. WTS 2015: 1-5 - 2014
- [j1]Alaa Awad, Amr Mohamed, Amr A. El-Sherif, Omar A. Nasr:
Interference-aware energy-efficient cross-layer design for healthcare monitoring applications. Comput. Networks 74: 64-77 (2014) - [c8]Alaa Awad, Medhat Hamdy, Amr Mohamed:
Transmission Delay Minimization for Energy Constrained Communication in Wireless Body Area Sensor Networks. NTMS 2014: 1-5 - [c7]Alaa Awad, Medhat Hamdy, Amr Mohamed, Hussein M. Alnuweiri:
Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems. QSHINE 2014: 108-114 - [c6]Alaa Awad, Amr Mohamed:
Distributed cross-layer optimization for healthcare monitoring applications. WiOpt 2014: 57-62 - 2013
- [c5]Ramy Hussein, Amr Mohamed, Masoud Alghoniemy, Alaa Awad:
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection. ICEAC 2013: 141-146 - [c4]Alaa Awad, Ramy Hussein, Amr Mohamed, Amr A. El-Sherif:
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications. LCN 2013: 356-363 - [c3]Alaa Awad, Amr Mohamed, Amr A. El-Sherif:
Energy efficient cross-layer design for wireless body area monitoring networks in healthcare applications. PIMRC 2013: 1484-1489 - 2011
- [c2]Alaa Awad, Omar A. Nasr, Mohamed M. Khairy:
Energy-aware routing for delay-sensitive applications over wireless multihop mesh networks. IWCMC 2011: 1075-1080 - [c1]Alaa Awad, Omar A. Nasr, Mohamed M. Khairy:
Multi-user cross-layer optimization for delay-sensitive applications over wireless multihop mesh networks. PIMRC 2011: 2289-2294
Coauthor Index
[j23] [j22] [c35] [c34] [j20] [j19] [c33] [c30] [j18] [j17] [j16] [j15] [j14] [c29] [c27] [c26] [d1] [i12] [j13] [j12] [j11] [j10] [c25] [c23] [i11] [i10] [i9] [j9] [c22] [c20] [i6] [i5] [i4] [i3] [i2] [j8] [j7] [c19] [c17] [c16] [j6] [j5] [j4] [c15] [j3] [j2] [c14] [c13] [c12] [c11] [c10] [i1] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3]
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last updated on 2024-11-22 19:38 CET by the dblp team
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