Vincenzo Nava

• Meccaniche delle onde di mare
• Monitorizzazione della salute strutturare di turbine eoliche offshore
• Produzione di energia da onde di mare
• Progettazione, operazione e manutenzione di turbine eoliche galleggianti
• Sistemi di ancoraggio per piattaforme galleggianti per rinnovabili marine

Settori ERC

SDG

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• COMUNICARE LA RICERCA ALLA CITTADINANZA
  Rilasciato da Politecnico di Torino il 01-07-2025

• Collegio di Ingegneria Civile ed Edile. Componente
• Collegio di Ingegneria per l'Ambiente e il Territorio. Componente

Dottorato di ricerca

• Sustainable Ocean Engineering (insegnamento su invito). A.A. 2025/26, INGEGNERIA MECCANICA. Titolare del corso

Corso di laurea magistrale

• Coastal engineering. A.A. 2026/27, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Titolare del corso
• Coastal engineering. A.A. 2025/26, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Titolare del corso

Corso di laurea di 1° livello

• Idraulica tecnica per l'ingegneria edile. A.A. 2026/27, INGEGNERIA EDILE. Titolare del corso
• Idraulica tecnica per l'ingegneria edile. A.A. 2025/26, INGEGNERIA EDILE. Titolare del corso

• IDROLOGIA E COSTRUZIONI IDRAULICHE (DIATI)

Progetti finanziati da contratti commerciali

• Concorso oneri per investigazione e simulazione numerica del comportamento di dispositivi di conversione di energia dal moto ondoso (WECs) in ambito offshore e costiero, con il fine di stimare e ottimizzare le performance, accoppiando simulazioni high-fidelity con modelli low-fidelity e algoritmi di controllo, per modellare il power take-off dei WEC, e per efficientare l’interazione onda—dispositivo, (2025-2026) - Responsabile Scientifico
  Concorso oneri ricerca commerciale

• Fathnejat, Hamed; Nava, Vincenzo (2026)
  From augmentation to translation: Data generation by conditional hierarchical variational autoencoder, enhancing monitoring mooring systems in floating offshore wind turbines. In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 163. ISSN 0952-1976
  Contributo su Rivista
• Tamuly, Pranjal; Nava, Vincenzo (2026)
  Damage detection in mooring systems of floating offshore wind turbines using semi-supervised GAN with image-transformed limited labelled data. In: ADVANCES IN STRUCTURAL ENGINEERING. ISSN 1369-4332
  Contributo su Rivista
• Kämmerling, Max; Nava, Vincenzo; Mendikoa, Iñigo; Ser, Javier Del (2026)
  Towards Robust Machine Learning Models for the Estimation of Mooring-Line Tension in Floating Wind Turbines under Unknown Sea Conditions. In: The Science of Making Torque from Wind (TORQUE 2026), Bruges (Bel), 3-5 June 2026. ISSN 1742-6588
  Contributo in Atti di Convegno (Proceeding)
• Tamuly, P.; Sharma, S.; Nava, V. (2025)
  Integrated damage detection and time-series data augmentation for floating offshore mooring systems via variational semi-supervised learning. In: OCEAN ENGINEERING, vol. 330. ISSN 0029-8018
  Contributo su Rivista
• Fernandez-Navamuel, Ana; Gorostidi, Nicolas; Pardo, David; Nava, Vincenzo; Chatzi, Eleni (2025)
  Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine. In: WIND ENERGY SCIENCE, vol. 10, pp. 857-885. ISSN 2366-7443
  Contributo su Rivista
• Tamuly, Pranjal; Nava, Vincenzo (2025)
  Machine learning based conformal predictors for uncertainty-aware compressive strength estimation of concrete. In: CONSTRUCTION AND BUILDING MATERIALS, vol. 487. ISSN 0950-0618
  Contributo su Rivista
• Aristondo, A.; Abanda, A.; Esteras, M.; Nava, V.; Penalba, M. (2025)
  A methodology for expert knowledge imbrication in mooring system design using Bayesian based optimization. In: 6th International Conference on Renewable Energies Offshore - RENEW 2024, Lisbon (Por), 19-21 November 2024
  Contributo in Atti di Convegno (Proceeding)
• Gonzalez-Sieiro, J.; Pardo, D.; Nava, V.; Calo, V. M.; Towara, M. (2025)
  Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework. In: ENGINEERING WITH COMPUTERS, vol. 41, pp. 1699-1720. ISSN 0177-0667
  Contributo su Rivista
• Fathnejat, Hamed; Nava, Vincenzo (2025)
  Hierarchical Variational Approach for Domain Translation in Unseen Damaged Mooring Systems. In: 3rd International Conference on Resilience, Earthquake Engineering and Structural Health Monitoring, ICONREM 2024, Torino (Ita), 24-28 June 2024, pp. 363-375. ISSN 2366-2565. ISBN: 9783032084064
  Contributo in Atti di Convegno (Proceeding)
• Fathnejat, Hamed; Nava, Vincenzo (2025)
  Unseen Mooring Monitoring by Conditional Hierarchical Variational Domain Translation. In: 11th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025, Porto (Por), 2-4 July 2025, pp. 781-792. ISSN 2366-2565. ISBN: 9783031961090
  Contributo in Atti di Convegno (Proceeding)
• Aristondo, Ander; Nava, Vincenzo; Esteras, Miguel; Penalba, Markel (2025)
  Uncertainty-aware Bayesian optimisation framework for the design of floating offshore wind turbines. In: OCEAN ENGINEERING, vol. 342, pp. 1-14. ISSN 0029-8018
  Contributo su Rivista
• Fathnejat, Hamed; Nava, Vincenzo (2025)
  Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution. In: ENGINEERING WITH COMPUTERS. ISSN 0177-0667
  Contributo su Rivista
• Fernandez-Navamuel, A.; Pena-Sanchez, Y.; Nava, V. (2024)
  Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology. In: OCEAN ENGINEERING, vol. 310. ISSN 0029-8018
  Contributo su Rivista
• Pena-Sanchez, Y.; Garcia-Violini, D.; Penalba, M.; Zarketa-Astigarraga, A.; Ferri, F.; ... (2024)
  Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate. In: RENEWABLE ENERGY, vol. 227. ISSN 0960-1481
  Contributo su Rivista
• Sharma, S.; Nava, V. (2024)
  Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients. In: OCEAN ENGINEERING, vol. 302. ISSN 0029-8018
  Contributo su Rivista
• Davidson, J.; Nava, V. (2024)
  Targeting the high frequency tail of wave spectra for energy harvesting in marine sensor networks. In: RENEWABLE ENERGY, vol. 237. ISSN 0960-1481
  Contributo su Rivista
• García-Violini, Demián; Faedo, Nicolas; Pena-Sanchez, Yerai; Nava, Vincenzo; Ringwood, ... (2024)
  Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches. In: OCEAN ENGINEERING, vol. 311. ISSN 0029-8018
  Contributo su Rivista
• Davidson, Josh; Nava, Vincenzo; Andersen, Jacob; Kramer Morten, Bech (2024)
  Exploiting Axisymmetry to Optimize CFD Simulations—Heave Motion and Wave Radiation of a Spherical Buoy. In: SYMMETRY, vol. 16. ISSN 2073-8994
  Contributo su Rivista
• Sharma, S.; Nava, Vincenzo (2024)
  Monitoring Mooring Lines of Floating Offshore Wind Turbines: Autoregressive Coefficients and Stacked Auto-Associative-Deep Neural Networks. In: 20th International Conference on Condition Monitoring and Asset Management, Oxford (UK), 10-17 June 2024
  Contributo in Atti di Convegno (Proceeding)
• Gorostidi, N.; Pardo, D.; Nava, V. (2023)
  Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders. In: OCEAN ENGINEERING, vol. 287. ISSN 0029-8018
  Contributo su Rivista
• Ruiz-Minguela, P.; Blanco, J. M.; Nava, V. (2023)
  Successful innovation strategies to overcome the technical challenges in the development of wave energy technologies. In: EWTEC2023, Bilbao (Por), 3-7 September 2023
  Contributo in Atti di Convegno (Proceeding)
• Ruiz-Minguela, P.; Noble, D. R.; Nava, V.; Pennock, S.; Blanco, J. M.; Jeffrey, H. (2023)
  Estimating Future Costs of Emerging Wave Energy Technologies. In: SUSTAINABILITY, vol. 15. ISSN 2071-1050
  Contributo su Rivista
• Araignous, Emma; Kervella, Youen; Michelet, Nicolas; Luxcey, Neil; Nava, Vincenzo; ... (2023)
  Environmental Assessment tool in DTOcean+: reducing local and global environmental impacts for ocean energy projects. In: INTERNATIONAL MARINE ENERGY JOURNAL, vol. 6. ISSN 2631-5548
  Contributo su Rivista