Komeil Moghaddasi

Komeil Moghaddasi

Research Assistant

Biography

Education

  • Master of Science in Information Technology (E-Commerce)
    Islamic Azad University (Urmia, Iran) | Sep. 2021 - Sep. 2023

  • Bachelor of Science in Computer Engineering (Software)
    Islamic Azad University (Miandoab, Iran) | Feb. 2013 - Jan. 2019

Publications

  • Moghaddasi, K., Rajabi, S., Soleimanian Gharehchopogh, F., & Ghaffari, A. (2024). "An Advanced Deep Reinforcement Learning Algorithm for Three-Layer D2D-Edge-Cloud Computing Architecture for Efficient Task Offloading in the Internet of Things." Sustainable Computing: Informatics and Systems (Elsevier - IF: 3.8 - Q1).

  • Min, H., Rahmani, A., Ghaderkourehpaz, P., Moghaddasi, K., & Hosseinzadeh, M. (2024). "A Joint Optimization of Resource Allocation Management and Multi-Task Offloading in High-Mobility Vehicular Multi-Access Edge Computing Networks." Ad Hoc Networks (Elsevier - IF: 4.4 - Q1).

  • Moghaddasi, K., Rajabi, S., & Soleimanian Gharehchopogh, F. (2024). "Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach." IEEE Access (IEEE - IF: 3.4 - Q1).

  • Moghaddasi, K., Rajabi, S., & Soleimanian Gharehchopogh, F. (2024). "An Enhanced Asynchronous Advantage Actor-Critic-based Algorithm for Performance Optimization in Mobile Edge Computing-enabled Internet of Vehicles Networks." Peer-to-Peer Networking and Applications (Springer - IF: 3.3 - Q2).

  • Moghaddasi, K., Rajabi, S., Soleimanian Gharehchopogh, F., & Hosseinzadeh, M. (2023). "An Energy-Efficient Data Offloading Strategy for 5G-enabled Vehicular Edge Computing Networks Using Double Deep Q-Network." Wireless Personal Communications (Springer - IF: 1.9 - Q2).

  • Moghaddasi, K., & Masdari, M. (2023). "Blockchain-driven optimization of IoT in mobile edge computing environment with deep reinforcement learning and multi-criteria decision-making techniques." Cluster Computing Journal (Springer - IF: 3.6 - Q1).

Conferences

  • Moghaddasi, K., & Rajabi, S. (2023). Double Deep Q-Learning Networks for Energy-Efficient IoT Task Offloading in D2D MEC Environments. In Conference 2023 7th International Conference on Internet of Things and Applications (IoT). link.

  • Moghaddasi, K., & Rajabi, S. (2023). Learning at the Edge: Mobile Edge Computing and Reinforcement Learning for Enhanced Web Application Performance. In Conference 2023 9th International Conference on Web Research (ICWR). link.

  • Rajabi, S., & Moghaddasi, K. (2023). IoT-Driven Water Quality Management System using Deep Q-Network. In 2023 14th International Conference on Information and Knowledge Technology (IKT). link.