Komeil Moghaddasi

Komeil Moghaddasi

PhD Student | AI & ML Researcher

Pioneering Research in Energy Network Architecture, AI & Distributed Computing

I'm a PhD student at Queensland University of Technology with extensive experience advancing the frontiers of computer networks and optimization algorithms. My research in PhD focuses on decentralised grid architecture, and distributed power networks, with particular emphasis on scalable and resilient arcitectures.

During my research with publications in leading Q1 journals including Elsevier, IEEE, and Springer, I specialize in Distributed Computing and Optimization Algorithms with creating efficient task offloading strategies, resource allocation algorithms, and performance optimization techniques for emerging computing paradigms in IoT and vehicular networks.

Distributed Energy Resources
Decentralised Grid Architecture
Deep Reinforcement Learning
Mobile Edge Computing
IoT Systems
Optimization Algorithms
Distributed Computing

Education

Academic foundation in computer engineering and information technology

Doctor of Philosophy in Computer Science

Queensland University of Technology, Brisbane, Australia

October 2025 - Present

Master of Science in Information Technology

Islamic Azad University, Urmia, Iran

September 2021 - September 2023

Bachelor of Science in Computer Engineering

Islamic Azad University, Miandoab, Iran

February 2013 - January 2019

Publications

Research contributions in top-tier journals and conferences

2026

Rahmani, A. M., Haider, A., Soleimanian Gharehchopogh, F., Moghaddasi, K., Darwesh, A., & Hosseinzadeh, M.

Strategic offloading in autonomous vehicles: A systematic survey of current schemes, challenges, and future prospects

2025

Moghaddasi, K., Rajabi, S., & Hosseinzadeh, M.

Intrusion Detection Systems for Enhanced Security in Mobile Edge Computing: A Systematic Review and Survey of the Applications, Challenges, and Future Directions

2025

Moghaddasi, K., & Jurdak, R.

An energy-aware distributed federated soft actor-critic framework for intelligent task offloading in vehicular mobile edge computing networks

2025

Rahmani, A. M., Haider, A., Moghaddasi, K., Soleimanian Gharehchopogh, F., Aurangzeb, K., Liu, Z., & Hosseinzadeh, M.

Self-learning adaptive power management scheme for energy-efficient IoT-MEC systems using soft actor-critic algorithm

2025

Rahmani, A. M., Haider, A., Khoshvaght, P., Soleimanian Gharehchopogh, F., Moghaddasi, K., Rajabi, S., & Hosseinzadeh, M.

Optimizing task offloading with metaheuristic algorithms across cloud, fog, and edge computing networks: A comprehensive survey and state-of-the-art schemes

2025

Min, H., Rahmani, A. M., Ghaderkourehpaz, P., Moghaddasi, K., & Hosseinzadeh, M.

A Joint Optimization of Resource Allocation Management and Multi-Task Offloading in High-Mobility Vehicular Multi-Access Edge Computing Networks

2024

Moghaddasi, K., Rajabi, S., Soleimanian Gharehchopogh, F., & Ghaffari, A.

An Advanced Deep Reinforcement Learning Algorithm for Three-Layer D2D-Edge-Cloud Computing Architecture for Efficient Task Offloading in the Internet of Things

2024

Moghaddasi, K., Rajabi, S., & Soleimanian Gharehchopogh, F.

Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach

2024

Moghaddasi, K., Rajabi, S., & Soleimanian Gharehchopogh, F.

An Enhanced Asynchronous Advantage Actor-Critic-based Algorithm for Performance Optimization in Mobile Edge Computing-enabled Internet of Vehicles Networks

2024

Moghaddasi, K., Rajabi, S., Soleimanian Gharehchopogh, F., & Hosseinzadeh, M.

An Energy-Efficient Data Offloading Strategy for 5G-enabled Vehicular Edge Computing Networks Using Double Deep Q-Network

2023

Moghaddasi, K., & Masdari, M.

Blockchain-driven optimization of IoT in mobile edge computing environment with deep reinforcement learning and multi-criteria decision-making techniques

Conference Presentations

International conference contributions and presentations

A Multi-Objective Deep Reinforcement Learning Approach for Computation Offloading and Intelligent Resource Allocation in D2D-MEC Network

8th International Conference on Web Research (ICWR), Tehran, Iran, 2022

View Publication

Let's Connect

Interested in collaboration or have questions about my research? Feel free to reach out!

K.moghaddasi@qut.edu.au