PhD Student | AI & ML Researcher
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.
Academic foundation in computer engineering and information technology
Queensland University of Technology, Brisbane, Australia
October 2025 - Present
Islamic Azad University, Urmia, Iran
September 2021 - September 2023
Islamic Azad University, Miandoab, Iran
February 2013 - January 2019
Research contributions in top-tier journals and conferences
Strategic offloading in autonomous vehicles: A systematic survey of current schemes, challenges, and future prospects
Intrusion Detection Systems for Enhanced Security in Mobile Edge Computing: A Systematic Review and Survey of the Applications, Challenges, and Future Directions
An energy-aware distributed federated soft actor-critic framework for intelligent task offloading in vehicular mobile edge computing networks
Self-learning adaptive power management scheme for energy-efficient IoT-MEC systems using soft actor-critic algorithm
Optimizing task offloading with metaheuristic algorithms across cloud, fog, and edge computing networks: A comprehensive survey and state-of-the-art schemes
A Joint Optimization of Resource Allocation Management and Multi-Task Offloading in High-Mobility Vehicular Multi-Access Edge Computing Networks
An Advanced Deep Reinforcement Learning Algorithm for Three-Layer D2D-Edge-Cloud Computing Architecture for Efficient Task Offloading in the Internet of Things
Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach
An Enhanced Asynchronous Advantage Actor-Critic-based Algorithm for Performance Optimization in Mobile Edge Computing-enabled Internet of Vehicles Networks
An Energy-Efficient Data Offloading Strategy for 5G-enabled Vehicular Edge Computing Networks Using Double Deep Q-Network
Blockchain-driven optimization of IoT in mobile edge computing environment with deep reinforcement learning and multi-criteria decision-making techniques
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 PublicationInterested in collaboration or have questions about my research? Feel free to reach out!
K.moghaddasi@qut.edu.au