Nikos Kougiatsos, MSc

Nikos Kougiatsos, MSc is currently a PhD Candidate 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.

• Non-centralised control,

• Plug-and-play control, Switching methods,

• Smart sensor modalities,

• Fault diagnosis,

• Fault-tolerance,

• Cybersecurity

[1] Kougiatsos, N., & Reppa, V. (2024). A Distributed Cyber-Physical Framework for sensor fault diagnosis of marine internal combustion engines. To appear in IEEE Transactions on Control Systems Technology, SI on Resilient Control of Cyber Physical Power and Energy Systems.

[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, Kongens Lyngby, Denmark, September, 2022.

[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] Kougiatsos, N., Zwaginga, J., Pruyn, J. & Reppa, V. (2023). Semantically enhanced system and automation design of complex marine vessels, to be featured in the Proceedings of the 2023 IEEE Symposium Series on Computational Intelligence (SSCI)