Md. Shirajum Munir

Research Assistant Professor

Old Dominion University

United States

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Md. Shirajum Munir is a Research Assistant Professor at Old Dominion University, USA. His research primarily focuses on the intersection of artificial intelligence and wireless communications, with recent contributions to frameworks for secure 6G networks and intelligent transportation systems. Additionally, he explores applications in cyber-physical safety and energy scheduling for urban air mobility. His work reflects a commitment to advancing technology in diverse areas through innovative approaches such as deep reinforcement learning and federated learning.

Articles (15)

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2025

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2024

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2021

Collaborators (5)

Kamrul Hasan

Assistant Professor

Tennessee State University

UNITED STATES

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Yan Kyaw Tun

KTH Royal Institute of Technology

SWEDEN

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Sachin Shetty

Old Dominion University

UNITED STATES

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Choong Seon Hong

Professor

Kyung Hee University - Global Campus

SOUTH KOREA

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Md Tariqul Islam

Assistant Professor

Syracuse University School of Information Studies

UNITED STATES

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Md. Shirajum Munir

Research Interests

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Articles (15)

A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence

Cognitive Behavior-in-the-Loop: Towards an Attentive Driving in Intelligent Transportation Systems

Stability and Efficacy of Live-Attenuated Vibrio harveyi Vaccines Under Different Storage Conditions in Zebrafish (Danio rerio) Models

When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers

Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks

Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility

Integrated Sensing, Localization, and Communication in Holographic MIMO-enabled Wireless Network: A Deep Learning Approach

Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging

Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems

Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

Collaborators (5)

Kamrul Hasan

Yan Kyaw Tun

Sachin Shetty

Choong Seon Hong

Md Tariqul Islam

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