Faculty

Institution

Unit

Venue

Xenofon Koutsoukos

Professor of Computer Science Professor of Electrical and Computer Engineering

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

School of Engineering

Electrical and Computer Engineering

Xenofon Koutsoukos is currently serving as a College Of Connected Computing Professor of Computer Science Professor of Electrical and Computer Engineering at Vanderbilt University.

Honors

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Experiences

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Education

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Xenofon Koutsoukos

Vanderbilt University

Professor of Computer Science Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

systems engineering computer science machine learning cyber-physical systems control systems computer security automatic control information security system safety electrical engineering distributed systems engineering wireless sensor networks network science control system technology communication security wireless communications data security resilience computational intelligence cps security control engineering networked control distributed learning hybrid systems cybernetics control design machine learning research fault diagnosis localization mobile computing adversarial machine learning control system security information technology information fusion network robustness reachability analysis object tracking control science vehicular technology machine vision positioning systems controllability distributed real-time systems networked control systems real-time systems learning-enabled cyber-physical systems distributed computing distributed robotics tracking systems continuous systems power systems resilience engineering rf localization location tracking networked multi-agent systems heterogeneous sensor networks hierarchical control aeronautics safety analysis location estimation state estimation automotive engineering end-to-end utilization control learning-enabled components mobile sensing model integration radio frequency data dissemination efficient simulation structural model decomposition optimal thresholds possible conflicts edge augmentation feature selection security evaluation adaptive resource management systems modeling distributed model system science autonomic computing

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Control-Based Conditions for Graph Distinguishability. Society for Industrial and Applied Mathematics eBooks (2025)

structural graph theorygraph distinguishabilitygraph theorylogic in computer sciencecomputer science

Decentralized Learning Using Hashgraph Consensus. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

hashgraph consensusdistributed systemsnetwork analysisdecentralised systemdecentralized privacydistributed learningdiscrete algorithmscomputer science

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. arXiv (Cornell University) (2025)

designbrain graph constructioninformation visualizationgraph theorycomputational neuroscienceneuroinformaticssystems neurosciencecomputational intelligencebrain mappingdata-centric design spacecomputer sciencedesign automation

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning. arXiv (Cornell University) (2025)

machine learninggraph processinggraph machine learninggraph theorygraph neural networksgraph analysismachine learning researchknowledge discoverydata sciencerank encodingcomputer science

Learning Backbones: Sparsifying Graphs Through Zero Forcing for Effective Graph-Based Learning. Studies in computational intelligence (2025)

Obaid Ullah AhmadAnwar SaidMudassir ShabbirXenofon KoutsoukosWaseem Abbas

machine learningsparsifying graphsdistributed learninggraph sparsitycomputational intelligencecomputer sciencesparse neural networkeffective graph-based learning

Out-Of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents. arXiv (Cornell University) (2025)

Ankita SamaddarNicholas PotteigerXenofon Koutsoukos

autonomous agent systemscomputer scienceartificial intelligenceout-of-distribution detection

PROPENC: A Property Encoder for Graph Neural Networks. (2025)

neural network (machine learning)graph neural networksdeep learningcomputational intelligencecomputer science

Resilient Distributed Learning in Multi-Uav Systems. CRC Press eBooks (2025)

systems engineeringresilient distributed learningdistributed systemsunmanned aerial vehiclesdistributed ai systemrobot learningdistributed learningunmanned systemsmultiagent systemsunmanned aircraft systems

Resilient Peer-To-Peer Learning Based on Adaptive Aggregation. Lecture notes in networks and systems (2025)

scalabilitypeer-to-peer databasedistributed systemstrusted p2padaptive aggregationdistributed learningdata sciencecomputer science

Robust Anomaly Detection With Graph Neural Networks Using Controllability. (2025)

soft computingneural network (machine learning)network analysismachine learninggraph theorygraph neural networkscontrol optimizationgraph analysisrobust anomaly detectionautomatic controldata scienceanomaly detectioncomputer science

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Xenofon Koutsoukos

Professor of Computer Science Professor of Electrical and Computer Engineering

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

School of Engineering

Electrical and Computer Engineering

Xenofon Koutsoukos is currently serving as a College Of Connected Computing Professor of Computer Science Professor of Electrical and Computer Engineering at Vanderbilt University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Xenofon Koutsoukos

Vanderbilt University

Professor of Computer Science Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Control-Based Conditions for Graph Distinguishability. Society for Industrial and Applied Mathematics eBooks (2025)

structural graph theorygraph distinguishabilitygraph theorylogic in computer sciencecomputer science

Decentralized Learning Using Hashgraph Consensus. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

hashgraph consensusdistributed systemsnetwork analysisdecentralised systemdecentralized privacydistributed learningdiscrete algorithmscomputer science

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. arXiv (Cornell University) (2025)

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning. arXiv (Cornell University) (2025)

machine learninggraph processinggraph machine learninggraph theorygraph neural networksgraph analysismachine learning researchknowledge discoverydata sciencerank encodingcomputer science

Learning Backbones: Sparsifying Graphs Through Zero Forcing for Effective Graph-Based Learning. Studies in computational intelligence (2025)

Obaid Ullah AhmadAnwar SaidMudassir ShabbirXenofon KoutsoukosWaseem Abbas

machine learningsparsifying graphsdistributed learninggraph sparsitycomputational intelligencecomputer sciencesparse neural networkeffective graph-based learning

Out-Of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents. arXiv (Cornell University) (2025)

Ankita SamaddarNicholas PotteigerXenofon Koutsoukos

autonomous agent systemscomputer scienceartificial intelligenceout-of-distribution detection

PROPENC: A Property Encoder for Graph Neural Networks. (2025)

neural network (machine learning)graph neural networksdeep learningcomputational intelligencecomputer science

Resilient Distributed Learning in Multi-Uav Systems. CRC Press eBooks (2025)

Resilient Peer-To-Peer Learning Based on Adaptive Aggregation. Lecture notes in networks and systems (2025)

scalabilitypeer-to-peer databasedistributed systemstrusted p2padaptive aggregationdistributed learningdata sciencecomputer science

Robust Anomaly Detection With Graph Neural Networks Using Controllability. (2025)

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4
5
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10 / page

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design automation

cyber-physical systems

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hybrid systems

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collaborative learning

cyber-physical systems

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ai reliability

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