activity
20242026
most citedOn the Use of AI-Driven Immersive Digital Technologies for Designing and Operating UAVs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

13 papers

cs.RO2026

LAPF: LLM-Agent-Based Path Finder Using the UAVScenes Dataset

Yousef Emami, Mohammadhossein Homaei, Hao Zhou +3

Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous navigation in complex outdoor environments, where dynamic conditions and mission requirements require intel…

cs.RO2026

LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems

Yousef Emami, Rahim Taheri, Mohammadhossein Homaei +2

Uncrewed Aerial Vehicle (UAV) swarms have significant potential for applications such as Search and Rescue (SAR) and environmental monitoring, but their real-world deployment is li…

cs.RO20261 cited

On the Use of AI-Driven Immersive Digital Technologies for Designing and Operating UAVs

Yousef Emami, Mohammadhossein Homaei, Miguel Gutierrez Gaitan +3

Uncrewed Aerial Vehicles (UAVs) offer agile, cost-effective, and efficient solutions for communication relay networks. However, their modeling and control are challenging, and the…

cs.CR2026

Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control

Mohammadhossein Homaei, Iman Khazrak, Rubén Molano +2

Industrial Cyber-Physical Systems (ICPS) face growing threats from cyber-attacks that exploit sensor and control vulnerabilities. Digital Twin (DT) technology can detect anomalies…

cs.LG2026

Graph Attention Networks with Physical Constraints for Anomaly Detection

Mohammadhossein Homaei, Iman Khazrak, Ruben Molano +2

Water distribution systems (WDSs) face increasing cyber-physical risks, which make reliable anomaly detection essential. Many data-driven models ignore network topology and are har…

cs.LG2026

Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins

Mohammadhossein Homaei, Mehran Tarif, Pablo Garcia Rodriguez +2

Digital Twins (DTs) for Water Distribution Networks (WDNs) require accurate state estimation with limited sensors. Uniform sampling often wastes resources across nodes with differe…