activity
20202025
most citedRisk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

65 citations · 160 across the 13 of their papers we have counts for

collaborators

14 papers

cs.NI2025

Vision and Causal Learning Based Channel Estimation for THz Communications

Kitae Kim, Yan Kyaw Tun, Md. Shirajum Munir +3

The use of terahertz (THz) communications with massive multiple input multiple output (MIMO) systems in 6G can potentially provide high data rates and low latency communications. H…

cs.CR2024★ 3 cited

A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid

Md. Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara +3

Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizi…

cs.NI2023★ 6 cited

Generative AI-driven Semantic Communication Framework for NextG Wireless Network

Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary +2

This work designs a novel semantic communication (SemCom) framework for the next-generation wireless network to tackle the challenges of unnecessary transmission of vast amounts th…

cs.CR2023★ 1 cited

Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid

Md. Shirajum Munir, Sachin Shetty, Danda B. Rawat

The rapid growth of distributed energy resources (DERs), such as renewable energy sources, generators, consumers, and prosumers in the smart grid infrastructure, poses significant…

cs.LG2023★ 1 cited

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence

Yu Qiao, Md. Shirajum Munir, Apurba Adhikary +4

Federated learning-assisted edge intelligence enables privacy protection in modern intelligent services. However, not independent and identically distributed (non-IID) distribution…

cs.AI2022★ 4 cited

Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network

Md. Shirajum Munir, Ki Tae Kim, Apurba Adhikary +4

Explainable artificial intelligence (XAI) twin systems will be a fundamental enabler of zero-touch network and service management (ZSM) for sixth-generation (6G) wireless networks.…