Xenofon D. Koutsoukos, Ph.D.

Affiliations: 
Computer Science Vanderbilt University, Nashville, TN 
 2000 University of Notre Dame, Notre Dame, IN, United States 
Area:
Electronics and Electrical Engineering
Website:
https://engineering.vanderbilt.edu/bio/xenofon-koutsoukos
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"Xenofon Koutsoukos"

Parents

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Panos J. Antsaklis grad student 2000 Notre Dame
 (Analysis and design of piecewise linear hybrid dynamical systems.)
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Publications

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Abbas W, Laszka A, Shabbir M, et al. (2020) Graph-Theoretic Approach for Increasing Participation in Networks With Assorted Resources Ieee Transactions On Network Science and Engineering. 7: 930-946
Eisele S, Barreto C, Dubey A, et al. (2020) Blockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches Ieee Computer. 53: 66-76
Koutsoukos X. (2020) Systems Science of Secure and Resilient Cyberphysical Systems Ieee Computer. 53: 57-61
Dai S, Koutsoukos X. (2020) Safety analysis of integrated adaptive cruise and lane keeping control using multi-modal port-Hamiltonian systems Nonlinear Analysis: Hybrid Systems. 35: 100816
Potteiger B, Zhang Z, Koutsoukos XD. (2020) Integrated Moving Target Defense and Control Reconfiguration for Securing Cyber-Physical Systems Microprocessors and Microsystems. 73: 102954
Hasan S, Dubey A, Karsai G, et al. (2020) A game-theoretic approach for power systems defense against dynamic cyber-attacks International Journal of Electrical Power & Energy Systems. 115: 105432
Tran H, Cai F, Diego ML, et al. (2019) Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control Acm Transactions in Embedded Computing Systems. 18: 105
Abdel-Aziz H, Koutsoukos X. (2019) Data-driven online learning and reachability analysis of stochastic hybrid systems for smart buildings Cyber-Physical Systems. 5: 41-64
Laszka A, Abbas W, Vorobeychik Y, et al. (2019) Detection and mitigation of attacks on transportation networks as a multi-stage security game Computers & Security. 87: 101576
Ghafouri A, Laszka A, Abbas W, et al. (2019) A game-theoretic approach for selecting optimal time-dependent thresholds for anomaly detection Autonomous Agents and Multi-Agent Systems. 33: 430-456
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