selected publications

• academic article

  • Reinforcement learning vs rule-based dynamic movement strategies in UAV assisted networks.  Vehicular Communications.  48:100788-100788. 2024
  • Maximum Concurrent Flow Solutions for Improved Routing in IoT Future Networks.  Arabian Journal for Science and Engineering.  48:10079-10098. 2022
  • A Novel Deep Reinforcement Approach for IIoT Microgrid Energy Management Systems.  IEEE Transactions on Green Communications and Networking.  6:148-159. 2021
  • Edge and fog computing for IoT: A survey on current research activities & future directions.  Computer Communications.  180:210-231. 2021
  • SO‐VMEC: Service offloading in virtual mobile edge computing using deep reinforcement learning.  Transactions on Emerging Telecommunications Technologies.  33. 2021
  • STAD: Spatio-Temporal Anomaly Detection Mechanism for Mobile Network Management.  IEEE Transactions on Network and Service Management.  18:894-906. 2020
  • Fault-tolerant dynamic planning for wireless mesh networks based on real load profiles.  Computer Networks.  128:94-107. 2017
  • Adaptation of audiovisual contents and their delivery means.  Communications of the ACM.  56:86-93. 2013

• blog posting

  • Network planning tool based on network classification and load prediction.  arXiv (Cornell University). 2016
  • A Hybrid Model to Extend Vehicular Intercommunication V2V through D2D Architecture.  arXiv (Cornell University). 2015
  • Assisting V2V failure recovery using Device-to-Device Communications.  arXiv (Cornell University). 2015

• chapter

  • Authentication Based Elliptic Curves Digital Signature for ZigBee Networks.  Lecture notes in computer science. 63-73. 2017
  • Virtualization Techniques: Challenges and Opportunities.  Lecture notes in computer science. 49-62. 2016
  • Security in PNs.  Signals and communication technology. 245-282. 2009

• conference paper

  • Embedding ML Algorithms onto LPWAN Sensors for Compressed Communications.  . 1539-1545. 2021
  • Scalable and Cost Efficient Maximum Concurrent Flow over IoT using Reinforcement Learning.  2022 International Wireless Communications and Mobile Computing (IWCMC). 539-544. 2020
  • Scalable and Cost Efficient Resource Allocation Algorithms Using Deep Reinforcement Learning.  2022 International Wireless Communications and Mobile Computing (IWCMC). 946-951. 2020
  • Virtual Mobile Edge Computing Based on IoT Devices Resources in Smart Cities.  . 2020
  • A Maximum Concurrent Flow Technique for Optimized Data Routing in IoT Architectures.  . 1-2. 2020
  • Deep Learning Semantic Compression: IoT Support over LORA Use Case.  . 1-6. 2019
  • Optimizing Drone Deployment for Cellular Communication Coverage During Crowded Events.  MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM). 2019
  • Deep Learning Approaches for Electrical Vehicular Mobility Management: Invited Paper.  . 1-6. 2019
  • Adaptive Range-based Anomaly Detection in Drone-assisted Cellular Networks.  . 2019
  • Energy Management For Electric Vehicles in Smart Cities: A Deep Learning Approach.  . 2019
  • Drone-Assisted Cellular Networks: A Multi-Agent Reinforcement Learning Approach.  . 2019
  • Driving Path Stability in VANETs.  2015 IEEE Global Communications Conference (GLOBECOM). 1-6. 2018
  • NCP: A near ICN Cache Placement Scheme for IoT-Based Traffic Class.  2015 IEEE Global Communications Conference (GLOBECOM). 2018
  • Proactive Anomaly Detection Model for eHealth-Enabled Data in Next Generation Cellular Networks.  . 1-6. 2018
  • Optimal Hadoop over ICN Placement Algorithm for Networking and Distributed Computing.  GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 1-6. 2017
  • Optimal and Cost Efficient Algorithm for Virtual CDN Orchestration.  . 61-69. 2017
  • Network planning tool based on network classification and load prediction.  IEEE Wireless Communications and Networking Conference. 1-6. 2016
  • Distributed D2D Architecture for ITS Services in Advanced 4G Networks.  . 1-7. 2015
  • A dynamic femto cell architecture using TV Whitespace improving user experience of urban Crowds.  . 886-891. 2015
  • A hybrid model to extend vehicular intercommunication V2V through D2D architecture.  2016 International Conference on Computing, Networking and Communications (ICNC). 754-759. 2015
  • A Hybrid Contextual User Perception Model for Streamed Video Quality Assessment.  . 518-519. 2013
  • Enhancing broadcast vehicular communications using beamforming technique.  . 557-562. 2012
  • Enriched IPTV services personalization.  . 1911-1916. 2012
  • A Framework Using IBC Achieving Non-Repudiation and Privacy in Vehicular Network.  . 1-6. 2011
  • Video Streaming Security: Window-Based Hash Chain Signature Combines with Redundancy Code - YouTube Scenario as an Internet Case Study.  . 33-40. 2010
  • Video streaming security.  . 69-76. 2010
  • A Bypassing Security Model for Anonymous Bluetooth Peers.  . 310-315. 2005