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Publications in scientific journals

Hellenic Naval Academy

Zannis, T. C., Katsanis, J. S., Christopoulos, G. P., Yfantis, E. A., Papagiannakis, R. G., Pariotis, E. G., ... & Vallis, A. G. (2022). Marine exhaust gas treatment systems for compliance with the IMO 2020 global sulfur cap and tier III NOx limits: a review.Energies, 15(10), 3638.


Hellenic Naval Academy

Vallis, A. G., Zannis, T. C., Hristoforou, E. V., Yfantis, E. A., Pariotis, E. G., Hountalas, D. T., & Katsanis, J. S. (2022). Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO2 Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis. Energies, 15(15), 5398.


Hellenic Naval Academy

Alexiou, K., Pariotis, E. G., Leligou, H. C., & Zannis, T. C. (2022). Towards data-driven models in the prediction of ship performance (speed—power) in actual seas: A comparative study between modern approaches. Energies, 15(16), 6094.


Hellenic Naval Academy

Alexiou, K., Pariotis, E. G., & Leligou, H. C. (2023). Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors. Designs, 7(2), 46.



Spandonidis, C., & Paraskevopoulos, D. (2023). Evaluation of a Deep Learning-Based Index for Prognosis of a Vessel’s Propeller-Hull Degradation. Sensors, 23(21), 8956.

DIGITSENSE Research Program

In the DIGITSENSE Research Program which is implemented within the framework of the Action of National Scope "RESEARCH-CREATE-INNOVATE SECOND CYCLE", of the Operational Program "COMPETITIVENESS, ENTREPRENEURSHIP & INNOVATION", with the co-financing of Greece and the European Union, the company PRISMA ELECTRONICS SA, with the Shipbuilding and Marine Engineering Department of the Naval Cadet School and the Energy and Environmental Research Laboratory - ELKE-EKPA/ E²ReLab, with the aim of developing a "Digital Twin" of the energy systems of a ship and its connection with a system for collecting and processing measurements from the various sensors installed on the ship,creating an integrated environment where in real time the digital twin will be fed with measurements from the respective energy systems and will provide estimation of energy flows.