BC003 - Coraddu, A. and Kalikatzarakis, M. and Walker, J. and Ilardi, D. and Oneto, L., Sustainable Energy Systems on Ships, Coraddu, A. and Baldi, F. and Mondejar, M., Elsevier, Data Science and Advanced Analytics for Shipping Energy Systems, 2022.

BC002 - Coraddu, A. and Kalikatzarakis, M. and Theotokatos, G. and Geertsma, R. and Oneto, L., Engine Modeling and Simulation, Agarwal, A. K. and Kumar, D. and Sharma, N. and Sonawane, U., Springer, Physical and Data-Driven Models Hybridisation for Modelling the Dynamic State of a Four-Stroke Marine Diesel Engine, 2020.

BC001 - A. Coraddu, L. Oneto, F. Baldi, and D. Anguita. Vessels fuel consumption: a data analytics perspective to sustainability. In C. Cruz, editor, Soft Computing for Sustainability Science. Serie Studies in Fuzziness and Soft Computing. Springer, 2016.

J036 -  McMorland, J., Collu, M.,  McMillan, D. , Carroll, J., and A. Coraddu (2023). Opportunistic maintenance for offshore wind: A review and proposal of future framework. Renewable and Sustainable Energy Reviews, 184, 113571.

J035 -  Sykes, V., Collu, M., and Coraddu, A. (2023). A review and analysis of optimisation techniques applied to floating offshore wind platforms. Ocean Engineering, 285, 115247.

J034 -  Ojo, A., Collu, M., and Coraddu, A. (2023). Parametric Curve Comparison for Modeling Floating Offshore Wind Turbine Substructures. Energies, 16(14), 5371.

J033 - Latorre, A., Soeiro, T. B., Geertsma, R., Coraddu, A., and Polinder, H. (2023). Shipboard DC systems, a Critical Overview: Challenges in Primary Distribution, Power Electronics-based Protection, and Power Scalability. IEEE Open Journal of the Industrial Electronics Society.

J032 - Cademartori, G., Oneto, L., Valdenazzi, F., Coraddu, A., Gambino, A., & Anguita, D. (2023). A review on ship motions and quiescent periods prediction models. Ocean Engineering, 280, 114822.

J031 - Martinelli, C., Coraddu, A. and Cammarano, A. (2023). Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: advantages and limitations. Nonlinear Dynamics, Springer.

J030 - Kalikatzarakis, M., Coraddu, A., Atlar, M., Gaggero, S., Tani, G. and Oneto, L. (2023). Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data. Engineering Applications of Artificial Intelligence,118, 105660. 

J029 - Martinelli, C., Coraddu, A., and  Cammarano, A. (2023). Performance-aware design for piezoelectric energy harvesting optimisation via finite element analysis. International Journal of Mechanics and Materials in Design, 19(1), 121-136.

J028 - Figari, M., Theotokatos, G., Coraddu, A., Stoumpos, S., & Mondella, T. (2022). Parametric investigation and optimal selection of the hybrid turbocharger system for a large marine four-stroke dual-fuel engine. Applied Thermal Engineering, 208, 117991.

J027 - Tsitsilonis, K. M., Theotokatos, G., Patil, C., and Coraddu, A. (2022). Health assessment framework of marine engines enabled by digital twins. International Journal of Engine Research.

J026 - Lekkala, M. R., Latheef, M., Jung, J. H., Coraddu, A., Zhu, H., Srinil, N., and Lee, B. H. (2022). Recent advances in understanding the flow over bluff bodies with different geometries at moderate Reynolds numbers. Ocean Engineering, 261, 111611.

J025 - McMorland, J., Flannigan, C., Carroll, J., Collu, M., McMillan, D., Leithead, W.,  Coraddu, A. (2022). A review of operations and maintenance modelling with considerations for novel wind turbine concepts. Renewable and Sustainable Energy Reviews, 165, 112581.

J024 - Li, S., Coraddu, A. and Oneto, L. (2022). Computationally aware estimation of ultimate strength reduction of stiffened panels caused by welding residual stress: From finite element to data-driven methods. Engineering Structures, 264, p.114423.

J023 - Kalikatzarakis, M., Theotokatos, G., Coraddu, A., Sayan, P., & Wong, S. Y. (2022). Model based analysis of the boil-off gas management and control for LNG fuelled vessels. Energy, 251, 123872.

J022 - Patryniak, K., Collu, M., & Coraddu, A. (2022). Multidisciplinary design analysis and optimisation frameworks for floating offshore wind turbines: State of the art. Ocean Engineering, 251, 111002.

J021 - Baldi, F., Coraddu, A., Kalikatzarakis, M., Jeleňová, D., Collu, M., Race, J., & Maréchal, F. (2022). Optimisation-based system designs for deep offshore wind farms including power to gas technologies. Applied Energy, 310, 118540.

J020 - Kalikatzarakis, M. and Coraddu, A. and Atlar, M. and Gaggero, S. and Tani, G. and Villa, D. and Oneto, L. (2022). Computational prediction of underwater radiated noise of cavitating marine propellers: on the accuracy of semi-empirical models. Ocean Engineering.

J019  - Valchev, I. and Coraddu, A. and Kalikatzarakis, M. and Geertsma, R. and Oneto, L. (2022). Numerical methods for monitoring and evaluating the biofouling state and effects on vessels' hull and propeller performance: A review. Ocean Engineering,  251, 110883.

J018 - Walker, J. and Coraddu, A. and Collu, M. and Oneto, L. (2021). Digital Twins of the Mooring Line Tension for Floating Offshore Wind Turbines to Improve Monitoring, Lifespan, and Safety. Journal of Ocean Engineering and Marine Energy.

J017 - Kalikatzarakis, M., Coraddu, A., Oneto, L., Anguita, D. (2021). Optimising Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems. IEEE Transactions on Automation Science and Engineering.

J016 - Coraddu, A., Oneto, L., Cipollini, F., Kalikatzarakis, M., Meijn, G.J., Geertsma, R. (2021). Physical, Data-Driven, and Hybrid Approaches to Model Engine Exhaust Gas Temperatures in Operational Conditions. Ships and Offshore Structures.

J015 - Louvros, P., Boulougouris, E., Coraddu, A., Vassalos, D., Theotokatos, G. (2021). Smart Internal Arrangement of Ships at the Early Design Stage using Multi-objective optimisation. Ships and Offshore Structures.

J014 - Coraddu, A., Oneto, L., Ilardi, D., Stoumpos, S., & Theotokatos, G. (2021). Marine dual fuel engines monitoring in the wild through weakly supervised data analytics. Engineering Applications of Artificial Intelligence, 100, 104179.

J013 - Coraddu, A., Oneto, L., de Maya, B. N., & Kurt, R. (2020). Determining the most influential human factors in maritime accidents: A data-driven approach. Ocean Engineering, 211, 107588.

J012 - Miglianti, L., Cipollini, F., Oneto, L., Tani, G., Gaggero, S., Coraddu*, A., & Viviani, M. (2020). Predicting the cavitating marine propeller noise at design stage: A deep learning based approach. Ocean Engineering, 209, 107481.

J011 - Uzun, D., Coraddu, A., Demirel, Y.K., Turan, O. (2019). Time-Dependent Biofouling Growth Model for Predicting the Effects of Biofouling on Ship Resistance and Powering. Ocean Engineering, 191, 106432.

J010 - Coraddu, A., Oneto, L., Baldi, F., Cipollini, F., Atlar, M., & Savio, S. (2019). Data-driven ship digital twin for estimating the speed loss caused by the marine fouling. Ocean Engineering, 186, 106063.

J009 - Coraddu, A., Lim, S., Oneto, L., Pazouki, K., Norman, R., & Murphy, A. J. (2019). A novelty detection approach to diagnosing hull and propeller fouling. Ocean Engineering, 176, 65-73.

J008 - Cipollini, F. and Oneto, L. and Coraddu, A., Savio. S. (2019). Unsupervised Deep Learning for Induction Motors Bearings Monitoring, Data-Enabled Discovery and Applications, 3,1.

J007 - L. Oneto, A. Coraddu, F. Cipollini; O. Karpenko; K. Xepapa; P. Sanetti, D. Anguita. (2018). Crash Stop Manoeuvring Performance Prediction: a Data Driven Solution for Safety and Collision Avoidance. Data-Enabled Discovery and Applications, 2, 11.

J006 - F. Cipollini, L. Oneto, A. Coraddu*, A.J. Murphy, D. Anguita. (2018). Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback. Journal of Reliability Engineering and System Safety, vol. 177, pp. 12 – 23, 2018.

J005 - F. Cipollini, L. Oneto, A. Coraddu, A.J. Murphy, D. Anguita. (2018). Condition-based maintenance of naval propulsion systems with supervised data analysis, Ocean Engineering, vol. 149, pp. 268 – 278.

J004 - A. Coraddu, L. Oneto, F. Baldi, and D. Anguita. Vessels fuel consumption forecast and trim optimisation: a data analytics perspective. Ocean Engineering, 130:351–370, 2017.

J003 - A. Coraddu, L. Oneto, A. Ghio, S. Savio, D. Anguita, and M. Figari. Machine learning approaches for improving condition-based maintenance of naval propulsion plants. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 230(1):136–153, 2015.

J002 - A. Coraddu, G. Dubbioso, S. Mauro, and M. Viviani. Analysis of twin screw ships’ asymmetric propeller behaviour by means of free running model tests. Ocean Engineering, 68:47–64, 2013.

J001 - A. Coraddu, M. Figari, and S. Savio. Numerical investigation on ship energy efficiency by monte carlo simulation. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 228(3):220–234, 2014.

C041 - Coraddu, A. and Gaggero, S. and Villa, D. and Oneto, L., International Conference on Computational Methods in Marine Engineering (MARINE), A Non-Deterministic Propeller Design Optimization Framework Leveraging Machine Learning Based Boundary Element Methods Surrogates, 2023.

C040 - Walker, J. and Coraddu, A. and Oneto, L., International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT), A Decoupled Approach to AI-based Design and Optimization of the Delft Systematic Yacht Hull Series, 2023.

C039 - Valchev, I., Coraddu, A., Oneto, L., Kalikatzarakis, M., Tiddens, W., Geertsma, R. D. Artificial Intelligence-based short-term forecasting of vessel performance parameters. International Ship Control Systems Symposium, 2022

C038 - Walker, J. M., Coraddu, A., Garofano, V., Oneto, L. Artificial Intelligence Based Short-Term Motions Forecasting for Autonomous Marine Vehicles Control, International Ship Control Systems Symposium, 2022.

C037 - Kalikatzarakis, M. and Coraddu, A. and Atlar, M. and Gaggero, S. and Tani, G. and Oneto,  L., Symposium on Naval Hydrodynamics (SNH), Data-driven Underwater Radiated Noise Modelling of Cavitating Marine Propellers, 2022.

C036 - Hunt, G. and Coraddu, A. and Oneto, L. and Cammarano, A., Machine Learning and Data Assimilation for Dynamical Systems (MLDADS) workshop at the International Conference on Computational Science (ICCS), Machine Learning based surrogate models for COVID-19 infection risk assessment, 2022.

C035 - Walker, J. and Coraddu, A. and Oneto, L. and Kilbourn, S., Global OCEANS 2021 (OCEANS), Digital Twin of the Mooring Line Tension for Floating Offshore Wind Turbines, 2021.

C034 - Kalikatzarakis, M. and Coraddu, A. and Atlar, M. and Tani, G. and Gaggero, S. and Villa, D. and Oneto, L., Conference on Computational Methods in Marine Engineering (Marine), Computational Prediction of Propeller Cavitation Noise, 2021.

C033 - Kalikatzarakis, M. and Coraddu A. and Theotokatos, G. and Oneto, L., International Conference on Modelling and Optimisation of Ship Energy Systems (MOSES), Development of a zero-dimensional model and application on a medium-speed marine four-stroke diesel engine, 2021.

C032  - A. Coraddu, L. Oneto, M. Kalikatzarakis, D. Ilardi, M. Collu. Floating Spar-Type Offshore Wind Turbine Hydrodynamic Response Characterisation: a Computational Cost Aware Approach. In IEEE OCEANS 2020, 2020.

C031 - Oneto, L., Cipollini, F., Miglianti, L., Tani, G., Gaggero, S., Coraddu, A., Viviani, M., IEEE International Joint Conference on Neural Networks (IJCNN), Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage, 2020.

C030  - Coraddu, M. Kalikatzarakis, L. Oneto, R. D. Geertsma, G. -J. Meijn and M. Godjevac. Ships diesel engine performance modelling with combined physical and machine learning approach. In International Ship Control Systems Symposium (ISCSS), 2018.

C029  - A. Coraddu, S. Donnarumma, K. Chu, and M. Figari. Energy efficient propulsion system for dynamic positioning application: design and assessment. In International Ship Control Systems Symposium (ISCSS), 2018.

C028  - A. Orlandi, F. Guarnieri, C. Busillo, F. Calastrini, and A. Coraddu. Air quality simulations and forecasting of along-route ship emissions in realistic meteo-marine scenarios. In International Conference on Ships and Maritime Research (NAV), 2018.

C027  - F. Cipollini, L. Oneto, and A. Coraddu†*. A deep learning approach to marine propulsion system maintenance. In International Symposium on Naval Architecture and Maritime (INT-NAN), 2018.

C026 - F. Cipollini, L. Oneto, A. Coraddu, S. Savio, and D. Anguita. Unintrusive monitoring of induction motors bearings via deep learning on stator currents. In International Conference on Big Data and Deep Learning (INNS BDDL), 2018.

C025- S. Lim, A. Coraddu, K. Pazouki, and A.J. Murphy. Standardisation of data monitoring on-board vessels. In International Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017.

C024  - Oneto, L., A. Coraddu, P. Sanetti, O. Karpenko, F. Cipollini, and D. Anguita. Marine safety and data analytics: Vessel crash stop maneuvering performance prediction. In International Conference on Artificial Neural Networks (ICANN), 2017.

C023 - A. Coraddu, T. Cleophas, S. Ivancsics, and L. Oneto. Vessel monitoring based on sensors data collection. In International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT), 2016.

CX022  - L. Oneto, A. Coraddu, D. Anguita, T. Cleophas, and K. Xepapa. Vessel monitoring and design in industry 4.0: a data driven perspective. In International Forum on Research and Technologies for Society and Industry (RTSI), 2016.

C021 - A. Coraddu, T. Cleophas, K. Xepapa, L. Oneto, and D. Anguita. Operational profiles data analytics for ship design improvement. In International Conference on Maritime Technology and Engineering (MARTECH), 2016.

C020 - A. Orlandi, R. Benedetti, V. Capecchi, F. Pasi, L. Rovai, and A. Coraddu. Evaluation of the fuel saving potential at the mediterranean scale by the use of high resolution metocean forecasts and detailed ship performances numerical models. In Hull Performance and Insight Conference (HullPIC), 2016.

C019 - A. Coraddu, L. Oneto, F. Baldi, and D. Anguita. Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics. In OCEANS MTS/IEEE, 2015.

C018 - A. Orlandi, V. Capecchi, L. Rovai, S. Romanelli, A. Ortolani, A. Coraddu, and D. Villa. Ship performances forecasting at the mediterranean scale: evaluation of the impact of meteocean forecasts on fuel savings for energy efficiency and weather routing. In International Conference on Ships and Shipping Research, 2015.

C017 - A. Coraddu, L. Oneto, A. Ghio, S. Savio, D. Anguita, and M. Figari. Machine learning for wear forecasting of naval assets for condition-based maintenance applications. In International Conference on electrical systems for aircraft, railway, ship propulsion and road vehicles, 2015.

C016 - A. Orlandi, A. Coraddu, D. Villa, and F. Pasi. Powering and seakeeping forecasting for mediterranean weather routing: assessment of fuel consumptions reduction potentialities by the use of in-service data. In International Congress of the International Maritime Association of the Mediterranean, 2015.

C015- A. Orlandi, A. Coraddu, D. Villa, and F. Pasi. Optimum ship energy management by route optimisation with high resolution meteo-marine forecast data of a ro/ro vessel. In International Conference on Marine Simulation and Ship Manoeuvrability, 2015.

C014 - A. Coraddu,  M. Figari, A. Ghio, L. Oneto, and S. Savio. A sustainability analytics matlab tool to predict ship energy consumption. In International Conference on Computer Applications and Information Technology in the Maritime Industries, 2014.

C013- A. Coraddu, M. Figari, S. Savio, D. Villa, and A. Orlandi. Integration of seakeeping and powering computational techniques with meteo-marine forecasting data for in-service ship energy assessment. In Developments in Maritime Transportations and Exploitation of Sea Resources, volume 1, page 93. CRC Press - taylor and Francis Group, 2013.

C012 - A. Coraddu, M. Figari, and S. Savio. Ship energy assessment by numerical simulation. In International Conference on Computational Methods in Marine Engineering, volume 1, pages 530–540. Brinkmann, B. and Wriggers, P., 2013.

C011 - A. Coraddu, P. Gualeni, and D. Villa. Vulnerability assessment for the loss of stability in wave: some application case for a further insight into the problem. In International Conference on the Stability of Ship and Ocean Vehicles, 2012.

C010 - A. Coraddu, G. Dubbioso, D. Guadalupi, S. Mauro, and M. Viviani. Experimental investigation of asymmetrical propeller behaviour of twin screw ships during manoeuvres. In International Conference on Marine Simulation and Ship Manoeuvrability, volume 1, 2012.

C009  - A. Coraddu M. Figari, and S. Savio. Probability of achieving the energy efficiency index by monte carlo simulation. In Managing Reliability and Maintainability in the Maritime Industry, 2012.

C008  - A. Coraddu, M. Figari, and S. Savio. Energy efficiency index statistical analysis through vessel operating data. In International Research Conference on Short Sea Shipping, 2012.

C007 - A. Coraddu,  M. Figari. Ship electric propulsion: analyses through modeling and simulation. In International Conference on Computational Methods in Marine Engineering. CIMNE (Barcelona, Spain), 2011.

C006 - A. Coraddu, S. Gaggero, M. Figari, and D. Villa. A new approach in engine-propeller matching. In Sustainable Maritime Transportation and Exploitation of Sea Resources, volume 1, pages 631–637. CRC Press - Taylor and Francis Group, 2011.

C005 - A. Coraddu, P. Gualeni, and D. Villa. Investigation about wave profile effects on ship stability. In Sustainable Maritime Transportation and Exploitation of Sea Resources, volume 1, pages 143–149. CRC Press - Taylor and Francis Group, 2011.

C004 - G. Dubbioso, A. Coraddu, M. Viviani, and M. Figari. Investigation of asymmetrical shaft power increase during ship maneuvers by means of model tests and simulations. In International Symposium on Practical Design of Ships and Other Floating Structures, 2010.

C003 - M. Altosole, G. Benvenuto, A. Coraddu†, and M. Figari. Simulation for the safety assessment of an innovative fast ferry. In International Conference of Ship and Shipping Research, 2009.

C002 - M. Altosole, A. Coraddu, and M. Figari. Two parameter bifurcation of equilibria in continuous time of naval dynamical systems. In International Conference on Computational Methods in Marine Engineering. CIMNE (Barcelona, Spain), 2009.

C001 - P. Gualeni, A. Bruzzo, F. Della Volpe, and A. Coraddu. An investigation about the influence of ship size on the environmental performances of oil tankers. In International Congress of the International Maritime Association of the Mediterranean, 2007.

SI003 - Coraddu, A., Taccani, R., Ustolin, F. (2021). Journal of Marine Science and Engineering - Special Issue on Advanced Research in Innovative Ship Energy Systems.

SI002 - Coraddu, A., Collu, M., Laurenti, L. (2022). Energies - Special Issue on Recent Applications of Artificial Intelligence for Offshore Wind.

SI001 - Teothokatos, G., Coraddu, A. (2019). Journal of Marine Science and Engineering - Special Issue on Modelling and Optimisation of Ship Energy Systems.