Alaa Awad

Orcid: 0000-0002-3887-2520

According to our database1, Alaa Awad authored at least 68 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SDCL: A Framework for Secure, Distributed, and Collaborative Learning in Smart Grids.
IEEE Internet Things Mag., May, 2024

ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework.
IEEE Open J. Commun. Soc., 2024

ODL: Opportunistic Distributed Learning for Intelligent IoT Systems.
IEEE Internet Things Mag., 2024

PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue.
CoRR, 2024

Early Diagnoses of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models.
CoRR, 2024

Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks.
IEEE Trans. Netw. Serv. Manag., June, 2023

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues.
IEEE Internet Things J., 2023

Efficient Large-Scale Vision Representation Learning.
CoRR, 2023

adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads.
CoRR, 2023

Privacy and Security in Distributed Learning: A Review of Challenges, Solutions, and Open Research Issues.
IEEE Access, 2023

Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Reducing Complexity and data-set-Size Through Physics Inspired Tandem Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Communications, 2023

2022
EEG Data for Patients Receiving Intravenous Antibiotic Medication.
Dataset, May, 2022

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks.
IEEE Trans. Cogn. Commun. Netw., 2022

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data.
Future Gener. Comput. Syst., 2022

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence.
IEEE Commun. Surv. Tutorials, 2022

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT.
Proceedings of the 2022 Wireless Telecommunications Symposium, 2022

Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Energy-Efficient Active Federated Learning on Non-IID Data.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles.
IEEE Trans. Veh. Technol., 2021

I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning.
IEEE Internet Things J., 2021

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange.
IEEE Internet Things J., 2021

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey.
CoRR, 2021

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core.
IEEE Access, 2021

ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems.
Proceedings of the ICC 2021, 2021

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints.
Proceedings of the IEEE Global Communications Conference, 2021

Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021

2020
ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems.
IEEE Netw., 2020

I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management.
CoRR, 2020

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data.
CoRR, 2020

EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Active Learning-based Classification in Automated Connected Vehicles.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Performance Evaluation of Hyperledger Fabric.
Proceedings of the IEEE International Conference on Informatics, 2020

2019
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges.
IEEE Netw., 2019

Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation.
Expert Syst. Appl., 2019

EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Compress or Interfere?
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

On the Performance of Tactical Communication Interception Using Military Full Duplex Radios.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

On Physical Layer Security in Energy-Efficient Wireless Health Monitoring Applications.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
User-Centric Networks Selection With Adaptive Data Compression for Smart Health.
IEEE Syst. J., 2018

EEG-Based Transceiver Design With Data Decomposition for Healthcare IoT Applications.
IEEE Internet Things J., 2018

A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems.
IEEE Access, 2018

Automated class-based compression for real-time epileptic seizure detection.
Proceedings of the 2018 Wireless Telecommunications Symposium, 2018

2017
Distributed in-network processing and resource optimization over mobile-health systems.
J. Netw. Comput. Appl., 2017

Dynamic Network Selection in Heterogeneous Wireless Networks: A user-centric scheme for improved delivery.
IEEE Consumer Electron. Mag., 2017

Network Association with Dynamic Pricing over D2D-Enabled Heterogeneous Networks.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Concurrent association in heterogeneous networks with underlay D2D communication.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

2016
Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System.
CoRR, 2016

User-centric network selection in multi-RAT systems.
Proceedings of the IEEE Wireless Communications and Networking Conference Workshops, 2016

In-Network Data Reduction Approach Based on Smart Sensing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Energy-cost-distortion optimization for delay-sensitive M-health applications.
Proceedings of the 2015 Wireless Telecommunications Symposium, 2015

2014
Interference-aware energy-efficient cross-layer design for healthcare monitoring applications.
Comput. Networks, 2014

Distributed cross-layer optimization for healthcare monitoring applications.
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014

Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems.
Proceedings of the 10th International Conference on Heterogeneous Networking for Quality, 2014

Transmission Delay Minimization for Energy Constrained Communication in Wireless Body Area Sensor Networks.
Proceedings of the 6th International Conference on New Technologies, Mobility and Security, 2014

2013
Energy efficient cross-layer design for wireless body area monitoring networks in healthcare applications.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

Energy-aware cross-layer optimization for EEG-based wireless monitoring applications.
Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, 2013

Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection.
Proceedings of the 4th Annual International Conference on Energy Aware Computing Systems and Applications, 2013

2011
Multi-user cross-layer optimization for delay-sensitive applications over wireless multihop mesh networks.
Proceedings of the IEEE 22nd International Symposium on Personal, 2011

Energy-aware routing for delay-sensitive applications over wireless multihop mesh networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011


  Loading...