Hatem Abou-Zeid

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 34

Top Topics

Network Traffic

Reinforcement Learning

Resource Allocation

Manifold Alignment

Top Venues

IEEE/ACM Trans. Netw.

Publications

Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid
Joint Online Optimization of Model Training and Analog Aggregation for Wireless Edge Learning. IEEE/ACM Trans. Netw. 32 (2) (2024)
Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Syed Ali Hassan
Enhancing the Performance of Model Pruning in Over-the-Air Federated Learning with Non-IID Data. ICC Workshops (2024)
Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Aryan Kaushik, Syed Ali Hassan
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning. CoRR (2024)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach. IEEE J. Sel. Areas Commun. 42 (2) (2024)
Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Syed Ali Hassan
Deep Compression for Efficient and Accelerated Over-the-Air Federated Learning. IEEE Internet Things J. 11 (15) (2024)
Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-Zeid
Hierarchical Semi-Online Optimization for Cooperative MIMO Networks With Information Parsing. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid
Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. ICMLA (2023)
Brian Irvine, Eli Kinney-Lang, Elissa Maalouf, Maziyar Dowlatabadibazaz, Dion Kelly, Joanna RG. Keough, Adam Kirton, Hatem Abou-Zeid
Channel Selection Improves Accuracy for Pediatric Users of Motor Imagery Brain-Computer Interfaces. SMC (2023)
Mariam Elsayem, Hatem Abou-Zeid, Ali Afana, Sidney Givigi
Intelligent Resource Allocation for Grant-Free Access: A Reinforcement Learning Approach. IEEE Netw. Lett. 5 (3) (2023)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Accelerating Reinforcement Learning via Predictive Policy Transfer in 6G RAN Slicing. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid
Using Early Exits for Fast Inference in Automatic Modulation Classification. GLOBECOM (2023)
Omar Erak, Hatem Abou-Zeid
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback. CoRR (2023)
Sampreet Vaidya, Hatem Abou-Zeid, Diwakar Krishnamurthy
Transfer Learning for Online Prediction of Virtual Reality Cloud Gaming Traffic. GLOBECOM (2023)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach. CoRR (2023)
Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid
Using Early Exits for Fast Inference in Automatic Modulation Classification. CoRR (2023)
Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Syed Ali Hassan
Model Pruning for Efficient Over-the-Air Federated Learning in Tactical Networks. ICC Workshops (2023)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? CoRR (2023)
Omar Erak, Hatem Abou-Zeid
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback. ICC (2023)
Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-Zeid
Delay-Tolerant OCO With Long-Term Constraints: Algorithm and Its Application to Network Resource Allocation. IEEE/ACM Trans. Netw. 31 (1) (2023)
Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. IEEE Netw. 37 (3) (2023)
Alexis Amezaga Hechavarria, Nader Joojili, Ahmed Abdelmoaty, M. Omair Shafiq, Akram Bin Sediq, Mats Zachrison, Hatem Abou-Zeid
Feature Engineering for Highly Irregular Network Traffic Prediction. VCC (2023)
Khaled Kord, Ahmed Elbery, Sameh Sorour, Hossam S. Hassanein, Akram Bin Sediq, Ali Afana, Hatem Abou-Zeid
Enhanced C-V2X Uplink Resource Allocation using Vehicle Maneuver Prediction. ICC (2022)
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid
Online Distributed Coordinated Precoding for Virtualized MIMO Networks With Delayed CSI. IEEE Wirel. Commun. Lett. 11 (5) (2022)
Fahime Khoramnejad, Roghayeh Joda, Akram Bin Sediq, Hatem Abou-Zeid, Ramy Atawia, Gary Boudreau, Melike Erol-Kantarci
Delay-Aware and Energy-Efficient Carrier Aggregation in 5G Using Double Deep Q-Networks. IEEE Trans. Commun. 70 (10) (2022)
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Structure-Aware Reinforcement Learning for Node-Overload Protection in Mobile Edge Computing. IEEE Trans. Cogn. Commun. Netw. 8 (4) (2022)
Mariam Elsayem, Hatem Abou-Zeid, Ali Afana, Sidney Givigi
Reinforcement Learning-based Dynamic Resource Allocation For Grant-Free Access. GLOBECOM (2022)
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid
Semi-Online Precoding with Information Parsing for Cooperative MIMO Wireless Networks. INFOCOM (2022)
Jie Mei, Xianbin Wang, Kan Zheng, Gary Boudreau, Akram Bin Sediq, Hatem Abou-Zeid
Intelligent Radio Access Network Slicing for Service Provisioning in 6G: A Hierarchical Deep Reinforcement Learning Approach. IEEE Trans. Commun. 69 (9) (2021)
Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci
Carrier Aggregation With Optimized UE Power Consumption in 5G. IEEE Netw. Lett. 3 (2) (2021)
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. ICC (2021)
Medhat H. M. Elsayed, Roghayeh Joda, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci
Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G. GLOBECOM (2021)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein, Akram Bin Sediq, Gary Boudreau
Deep Learning-Based Forecasting of Cellular Network Utilization at Millisecond Resolutions. ICC (2021)
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing. LCN (2021)
Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci
QoS-Aware Joint Component Carrier Selection and Resource Allocation for Carrier Aggregation in 5G. ICC (2021)