Nikos Kougiatsos, MSc
Researcher, TU Delft
Project(s): SEAMLESS, NWO READINESS
Thesis: Safe and resilient control for marine power and propulsion plants
Biography
Nikos Kougiatsos, MSc is currently a Researcher within the Transport Engineering and Logistics Section of the Maritime and Transport Technology Department at Delft University of Technology. He received his diploma in the field of Naval Architecture and Marine Engineering from the National Technical University of Athens (NTUA), Greece in 2020. During his Master studies, he received two scholaships from the American Bureau of Shipping (ABS) as well as the Ch. Papakyriakopoulou scholarship for his excellent academic performance.
Research interests
Non-centralised control,
Plug-and-play control, Switching methods,
Smart sensor modalities,
Fault diagnosis,
Fault-tolerance,
Cybersecurity
An overview of my research in the context of Project READINESS is displayed below:
maritime_award2_nkougiatsos.pptxInterested in the optimization of sensor fault isolability? Below you can find our latest presentation on this topic where we propose a novel SFDI designer module
SFDI_presentation_SAFEPROCESS_2024 (6).pdfInterested in solutions for reconfigurable marine systems? Below you can find our latest presentation on this topic where we propose the use of semantics
SSCI_Presentation_nkougiatsos.pdfHow can virtual sensors help us deal with sensor faults? Below you can find our latest presentation on this topic where the basics of virtual sensor design are introduced
nkougiatsos_presentation.pptxFeatured Journal Publications
[1] Kougiatsos, N., & Reppa, V. (2024). A Distributed Cyber-Physical Framework for Sensor Fault Diagnosis of Marine Internal Combustion Engines, in IEEE Transactions on Control Systems Technology, vol. 32, no. 5, pp. 1718-1729, Sept. 2024, doi: 10.1109/TCST.2024.3378992.
Featured Conference Publications
[1] Kougiatsos, N., Negenborn, R. R., & Reppa, V. (2022). Distributed model-based sensor fault diagnosis of marine fuel engines. IFAC-PapersOnLine, 55(6), 347-353. https://doi.org/10.1016/j.ifacol.2022.07.153
[2] Kougiatsos, N., Reppa, V. (2022). A Distributed virtual sensor scheme for marine fuel engines. Nominated for Best Paper Award in IFAC CAMS 2022, IFAC-PapersOnLine, Volume 55, Issue 31, 2022, Pages 333-338, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.10.451.
[3] van Benten, M. C., Kougiatsos, N., & Reppa, V. (2022). Mission-oriented Modular Control of Retrofittable Marine Power Plants. Proceedings of the International Ship Control Systems Symposium, 16, [20]. https://doi.org/10.24868/10721
[4] Kougiatsos, N., Negenborn, R. R., & Reppa, V. (2022). A Multi-Sensory Switching-stable Architecture for Distributed Fault Tolerant Propulsion Control of Marine Vessels. Proceedings of the International Ship Control Systems Symposium, 16, [27]. https://doi.org/10.24868/10728
[5] N. Kougiatsos, J. Zwaginga, J. Pruyn and V. Reppa, "Semantically Enhanced System and Automation Design of Complex Marine Vessels," 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 512-518, doi: 10.1109/SSCI52147.2023.10372005
[6] Kougiatsos, N., Reppa, V. (2024). Sensor Set Decomposition for Enhanced Distributed Sensor Fault Isolability of Marine Propulsion Systems, IFAC-PapersOnLine, Volume 58, Issue 4, Pages 49-54, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2024.07.192.
Featured Articles
NetwerkNieuws_2020_December_WP1_article_NK.pdf