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Xenofon Koutsoukos

Researcher at Vanderbilt University

Publications -  418
Citations -  9420

Xenofon Koutsoukos is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Cyber-physical system & Hybrid system. The author has an hindex of 45, co-authored 390 publications receiving 8146 citations. Previous affiliations of Xenofon Koutsoukos include PARC & University of Notre Dame.

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Patent

Systems and methods for distributed algorithm for optimization-based diagnosis

TL;DR: In this paper, a distributed diagnosis of a physical system includes serveral local diagnostic subsystems that generate local diagnoses based on observations of a component of the physical system, and an algorithm for assembling a global diagnosis from the local diagnoses is fined.
Proceedings ArticleDOI

Design and Performance Evaluation of Configurable Component Middleware for End-to-End Adaptation of Distributed Real-Time Embedded Systems

TL;DR: The structure and functionality of the resource allocation and control engine (RACE), which is an open-source adaptive resource management framework built atop standards-based QoS-enabled component middleware, are described and the effectiveness of RACE is demonstrated in the context of a representative DRE system.
Journal ArticleDOI

Blockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches

TL;DR: TransSAX, a blockchain-based transactive energy system that provides an efficient, safe, and privacy-preserving market built on smart contracts, is presented.
Posted Content

Detection and Mitigation of Attacks on Transportation Networks as a Multi-Stage Security Game

TL;DR: It is shown that finding optimal strategies is a computationally challenging problem, and an efficient heuristic algorithms for finding near optimal strategies are proposed, and a Gaussian-process based anomaly detector is introduced, which can alert operators to ongoing attacks.
Proceedings ArticleDOI

Mobile Sensor Navigation Using Rapid RF-Based Angle of Arrival Localization

TL;DR: TripNav is presented, a localization and navigation system that is implemented entirely on resource-constrained wireless sensor nodes that can accurately perform waypoint navigation with an average position error of 0.95 m.