activity
20042026
most citedSecurity Attacks and Solutions for Digital Twins

96 citations · 178 across the 20 of their papers we have counts for

collaborators

22 papers

cs.LG2026

Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks

Omran Berjawi, Giuseppe Fenza, Rida Khatoun +1

The study of opinion dynamics in social networks is one of the key challenges in computational social science with direct relevance to understanding political polarization, misinfo…

eess.SY2024

Resource Optimization in UAV-assisted IoT Networks: The Role of Generative AI

Sana Sharif, Sherali Zeadally, Waleed Ejaz

We investigate how generative Artificial Intelligence (AI) can be used to optimize resources in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks. In particu…

cs.NI2023

SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networks

Daksh Dave, Vinay Chamola, Sandeep Joshi +1

The power requirements posed by the fifth-generation and beyond cellular networks are an important constraint in network deployment and require energy-efficient solutions. In this…

cs.CY2023★ 1 cited

Socially Beneficial Metaverse: Framework, Technologies, Applications, and Challenges

Xiaolong Xu, Xuanhong Zhou, Muhammad Bilal +4

In recent years, the maturation of emerging technologies such as Virtual Reality, Digital twins, and Blockchain has accelerated the realization of the metaverse. As a virtual world…

cs.HC2023★ 12 cited

Beyond Reality: The Pivotal Role of Generative AI in the Metaverse

Vinay Chamola, Gaurang Bansal, Tridib Kumar Das +8

Imagine stepping into a virtual world that's as rich, dynamic, and interactive as our physical one. This is the promise of the Metaverse, and it's being brought to life by the tran…

eess.SP2023★ 2 cited

DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communication

Wenyu Zhang, Kaiyuan Bai, Sherali Zeadally +4

Semantic communication is a new paradigm that exploits deep learning models to enable end-to-end communications processes, and recent studies have shown that it can achieve better…