Xenofon Koutsoukos | ISIS Website

First name

Xenofon

Last name

Koutsoukos

Sztipanovits, J., Koutsoukos, X., Karsai, G., Kottenstette, N., Antsaklis, P., Gupta, V., et al. (2012). Toward a Science of Cyber–Physical System Integration. Proceedings Of The Ieee, 100, 29-44. http://doi.org/10.1109/JPROC.2011.2161529 (Original work published January 2012)

Hartsell, C., Mahadevan, N., Ramakrishna, S., Dubey, A., Bapty, T., Johnson, T., et al. (2019). Model-Based Design for CPS with Learning-Enabled Components. In Proceedings of the Workshop on Design Automation for CPS and IoT (pp. 1–9). New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3313151.3313166

Hasan, S., Dubey, A., Karsai, G., & Koutsoukos, X. (2020). A game-theoretic approach for power systems defense against dynamic cyber-attacks. International Journal Of Electrical Power & Energy Systems, 115, 105432. http://doi.org/https://doi.org/10.1016/j.ijepes.2019.105432

Hasan, S., Ghafouri, A., Dubey, A., Karsai, G., & Koutsoukos, X. (2018). Vulnerability analysis of power systems based on cyber-attack and defense models. In 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). Washington, DC, USA: IEEE. http://doi.org/10.1109/ISGT.2018.8403337 (Original work published February 2018)

Zhang, Z., Zhan, Z., Balasubramanian, D., Koutsoukos, X., & Karsai, G. (2018). Triggering Rowhammer Hardware Faults on ARM: A Revisit. In 2018 Workshop on Attacks and Solutions in Hardware Security (pp. 24–33). New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3266444.3266454 (Original work published October 2018)

Abbas, W., Laszka, A., Shabbir, M., & Koutsoukos, X. (2020). Graph-Theoretic Approach for Increasing Participation in Networks With Assorted Resources. Ieee Transactions On Network Science And Engineering, 7, 930-946. http://doi.org/10.1109/TNSE.2019.2893584 (Original work published July)

Li, J., Abbas, W., & Koutsoukos, X. (2020). Byzantine Resilient Distributed Multi-Task Learning. In 34th International Conference on Neural Information Processing Systems. Red Hook, NY, USA: Curran Associates Inc. Retrieved from https://dl.acm.org/doi/abs/10.5555/3495724.3497253 (Original work published December 2020)

Abbas, W., Shabbir, M., Li, J., & Koutsoukos, X. (2022). Resilient distributed vector consensus using centerpoint. Automatica, 136, 110046. http://doi.org/https://doi.org/10.1016/j.automatica.2021.110046

Yazıcıoğlu, Y., Shabbir, M., Abbas, W., & Koutsoukos, X. (2020). Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing. In 2020 59th IEEE Conference on Decision and Control (CDC) (pp. 566-571). Jeju, South Korea: IEEE. http://doi.org/10.1109/CDC42340.2020.9304420 (Original work published December 2020)

Shabbir, M., Abbas, W., Yazıcıoğlu, Y., & Koutsoukos, X. (2023). Computation of the Distance-Based Bound on Strong Structural Controllability in Networks. Ieee Transactions On Automatic Control, 68, 1768-1775. http://doi.org/10.1109/TAC.2022.3160682 (Original work published March 2023)