Christos Sakaris is a Mechanical Engineer and works as a researcher/scientist in the Data, AI, and Robotics (DARWIN) research group of NORCE since 2021. He received his Diploma (a combination of bachelor and master) in Mechanical Engineering from the Aristotle University of Thesaloniki, Greece (2009) and his PhD in vibration-based Structural Health Monitoring (SHM), from the University of Patras, Greece (2018). He has worked in the Liverpool Logistics, Offshore and Marine (LOOM) Research Institute of the Liverpool John Moores University, UK. His research experience includes processing of vibration signals in the time and frequency domain, structural / modal analysis via data-based statistical models and diagnosis (detection, identification, localization, quantification) of damages / faults via machine learning methods. He has applied successfully his SHM knowledge on various types of structures including truss structure, aircraft skeleton, aircraft vertical stabilizer, floating offshore wind turbines, chain / fibre rope mooring lines, fish farm cages, wooden telecommunication poles and ski-lift masts. His current research interests include vibration-based diagnosis and prognosis (estimation of the remaining useful life) with statistical models in mooring lines and railway bridges.
Christos Sakaris
Researcher DARWIN
csak@norceresearch.no
+47 477 42 610
Jon Lilletuns vei 9 H, 3. etg, 4879 Grimstad, Norway

Division
Energy & Technology
Research themes
Machine Learning and Artificial Intelligence
Remote Inspection
Offshore Wind Energy
Aquaculture
Research Groups
More information about Christos
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Academic articleNumerical modelling and analysis of tendon failures in nets of semi-submersible fish cages– Ocean Engineering 2025
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Academic chapterVibration-based structural health monitoring of the mooring lines in a floating offshore wind turbine under varying environmental conditions: NN vs STS based methods– 2024
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Academic articleSensitivity analysis for multi-measurement points based SHM in the mooring lines of floating offshore wind turbines– Journal of Physics: Conference Series (JPCS) 2024
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Academic articleVibration-Based SHM in the Synthetic Mooring Lines of the Semisubmersible OO-Star Wind Floater under Varying Environmental and Operational Conditions– Sensors 2024
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Academic chapterA Comparative Study on Damage Detection in the Delta Mooring System of Spar Floating Offshore Wind Turbines– 2023
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Academic chapterStatistical Times Series Based Damage Detection in the Fiber Rope Mooring Lines of the Semi-Submersible OO-STAR Wind Floater– 2023
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Conference lectureStatistical times series based damage detection in the fiber rope mooring lines of the semi-submersible OO-STAR wind floater– 62nd IEEE Conference on Decision and Control (CDC) 2023
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Conference lectureA Comparative Study on Damage Detection in the Delta Mooring System of Spar Floating Offshore Wind Turbines– 16th European Workshop on Advanced Control and Diagnosis 2022