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ImanRHT (Iman Rahmati) · GitHub

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ImanRHT/README.md

About Me

As a computer scientist specializing in networking, my primary research focus is directed toward applying AI/ML-driven solutions, such as Deep Reinforcement Learning (DRL), Federated Learning, and Meta Learning, to address the dynamic nature and complexities of Multi-Agent Systems in Wireless Communication Networks. I developed [QECO] algorithm, a DRL-based QoE-Oriented Computation Offloading Algorithm for Mobile Edge Computing (MEC), which leverages Deep Q-Network (DQN) and LSTM to enable distributed decision-making in uncertain MEC environments. [Paper]

Currently, I have been working on three main research idea in MEC systems, which are as follows:

  • Multi-Agent DRL for Cooperative Task Offloading in Partially Observable MEC Environment [Idea]
  • Federated DRL for Continuous Improving Intradependente Task Offloading in MEC Network [Idea]
  • Meta-RL for Optimized Task Scheduling in Heterogeneous MEC [Idea]

Skills

  • General: Networking, MEC, DRL, Federated Learning
  • Programming Languages: Python, R, Bash, C++
  • Machine Learning: TensorFlow, PyTorch, Scikit-learn
  • Data Analysis: Pandas, NumPy, Matplotlib
  • Softwares: Mininet, Ns-3, Flask, Office, Visio
  • Operating System: Linux
  • Tools: Jupyter, LaTeX, Git

Popular repositories Loading

  1. QECO QECO Public

    A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrati…

    Python 289 55

  2. MEC_Environment MEC_Environment Public

    A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained

    Python 30 3

  3. QECO_IEEEJournal QECO_IEEEJournal Public

    QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

    TeX 23 4

  4. MultiAgentDRL4CollaborativeMEC MultiAgentDRL4CollaborativeMEC Public

    Multi-Agent Deep Reinforcement Learning for Collaborative Computation Offloading in Mobile Edge-Computing

    21 2

  5. MM1K_Queue_Simulation MM1K_Queue_Simulation Public

    A Performance Analysis of the M/M/1/K Queue Model via Discrete Event Simulation with Varied Service Orders

    Python 19 3

  6. ImanRHT.Github.io ImanRHT.Github.io Public

    My portfolio website.

    CSS 9 1

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