activity
20242026
collaborators

6 papers

eess.SY2026

Real-Time Threat Classification in Multi-Agent Systems via Topology-Coupled Hidden Markov Models

Ailin Barzegar, Davide Spinello, Mohammad Pirani

Networked multi-agent systems coordinating in adversarial environments face compound cyber threats that alternate between false-data injection (FDI), denial-of-service (DoS), and s…

eess.SY2026

Approximate Dynamic Programming for Link Reconfiguration to Reduce Malicious Input Controllability in Consensus Networks

Nathaniel Mailhot, Mohammad Pirani, Davide Spinello

Communication links influence how strongly a malicious input at one sensor affects a consensus network. We study how a defender can reduce this influence by selecting one additiona…

eess.SY2026

Game-Theoretic Area Coverage Control with Cooperative-Adversarial Multi-Agent Systems

Ruiming Zheng, Mohammad Pirani, Davide Spinello

We formulate a multi-agent area coverage control problem as a two-player zero-sum game between two agent groups with conflicting goals. Conventional coverage control allocates reso…

eess.SY2025

Resource-Aware Stealthy Attacks in Vehicle Platoons

Ali Eslami, Mohammad Pirani

Connected and Autonomous Vehicles (CAVs) are transforming modern transportation by enabling cooperative applications such as vehicle platooning, where multiple vehicles travel in c…

eess.SY2025

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach

Mohammadreza Doostmohammadian, Mohammad Pirani

Distributed estimation in interconnected systems has gained increasing attention due to its relevance in diverse applications such as sensor networks, autonomous vehicles, and clou…

eess.SY2024

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems

Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani +5

Resource allocation and scheduling in multi-agent systems present challenges due to complex interactions and decentralization. This survey paper provides a comprehensive analysis o…