Tomaso Gaggero | Naval Architecture | Best Researcher Award

Prof.  Tomaso Gaggero | Naval Architecture | Best Researcher Award

Associate Professor University of Genova, Italy

AUTHOR PROFILE

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SUMMARY

Prof. Tomaso Gaggero is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN), University of Genova, Italy. An internationally recognized expert in naval architecture and underwater acoustics, his work focuses on underwater noise generated by ships and its ecological impacts. He plays a leading role in European research projects and contributes extensively to international regulatory and scientific bodies on maritime noise emissions.

EDUCATION

  • Ph.D. in Naval Architecture (2013) – University of Genova, Thesis: Noise and vibrations on board ships

  • M.Sc. in Naval Architecture (2009) – University of Genova, 110/110 cum laude

  • B.Sc. in Naval Architecture (2006) – University of Genova, 106/110

PROFESSIONAL EXPERIENCE

Prof. Gaggero began his academic career as a contract researcher at the University of Genova in 2013 and progressed to Assistant Professor (RTDA in 2014, RTDB in 2016), before becoming Associate Professor in 2019. He earned the Italian National Scientific Qualification for Full Professor in 2022. Internationally, he served as a visiting researcher in Spain and has been actively involved in EU-funded projects such as AQUO, SONIC, ROBINS, MON ACUMEN, SICOMAR plus, and LIFE-Piaquo. He represents Italy at the International Maritime Organization (IMO) on underwater radiated noise and serves on technical committees of the ISSC.

RESEARCH INTEREST

His current research focuses on:

  • Experimental and numerical characterization of underwater radiated noise (URN) from ships

  • Modeling noise source levels and propagation in the marine environment

  • Assessing ecological impacts of maritime noise on marine life

  • Developing mitigation strategies through ship design and real-time monitoring

AWARD AND HONOR

  • 2022 – Achieved National Scientific Qualification for Full Professorship in Naval and Aerospace Engineering (09/A1)

  • Guest Editor – Special Issue of IEEE Journal of Oceanic Engineering on Waterborne Noise Emissions from Shipping

  • Associate EditorFrontiers in Marine Science – Ocean Engineering and Blue Economy

  • Scientific Advisor – Multiple EU and industrial research projects including CETENA, LEONARDO, and CMRE collaborations

RESEARCH SKILL

Dr. Tomaso Gaggero possesses advanced research skills in the fields of naval architecture, underwater acoustics, and shipborne noise emissions. His expertise lies particularly in the experimental and numerical characterization of ships as sources of underwater radiated noise and its environmental impacts. He has developed and validated innovative models for ship noise source levels and sound propagation in marine environments, contributing to sustainable maritime practices. With a strong command of measurement techniques using sonobuoys, numerical simulations, and signal processing, Dr. Gaggero has led and collaborated on numerous national and international research projects funded by the EU and private organizations. His capacity to integrate multidisciplinary approaches is evident from his roles in major EU-funded programs such as SONIC, AQUO, LIFE-Piaquo, and ROBINS. Furthermore, he is actively engaged in shaping international standards on underwater noise as a technical advisor and committee member within the International Maritime Organization (IMO) and ISSC. His editorial work with top-tier journals and ongoing collaborations with research institutions and industry partners highlight his ability to bridge theoretical research with practical engineering solutions

PUBLICATIONS

1. Propeller Design by Optimisation for Underwater Radiated Noise Reduction: A Full Scale Application
Authors: S. Gaggero, T. Gaggero, G. Tani, D. Villa, E. Rizzuto, O. Pinto, P. Becchi
Journal: Ocean Engineering, Volume 333, Article 121412
Year: 2025
Summary:
This paper presents a full-scale application of a propeller optimization approach aimed at reducing underwater radiated noise. It combines computational and experimental methodologies to optimize the propeller geometry. The study focuses on mitigating cavitation effects while maintaining hydrodynamic performance and evaluates the results through numerical simulations and full-scale measurements.

2. Comparison Between Measured and Predicted Airborne Noise Sources on the External Surface of a Cruise Ship
Authors: L. Mocerino, M. Viscardi, T. Gaggero, E. Rizzuto, D. Borelli, C. Schenone
Publication: Innovations in the Analysis and Design of Marine Structures, Page 475
Year: 2025
Summary:
This study compares measured and predicted airborne noise levels on a cruise ship’s external surfaces. It evaluates the performance of acoustic prediction tools by validating them with field measurements. The research identifies major noise-emitting components and assesses the discrepancies between simulations and actual data.

3. Quantification of Airborne Noise Emitted by Ships Based on Class Notation
Authors: M. Biot, D. Borelli, T. Gaggero, E. Lembo, L. Mocerino, G. Rognoni
Journal: Ocean Engineering, Volume 296, Article 117085
Year: 2024
Summary:
The paper presents a methodology for quantifying airborne noise emissions from ships in relation to classification society notations. It includes both numerical modeling and measurement campaigns to assess the correlation between noise levels and class limits, offering a framework for standardized evaluation.

4. Electric Boat Underwater Radiated Noise and Its Potential Impact on Species of Conservation Interest
Authors: T. Gaggero, E. Armelloni, A. Codarin, C. Chicco, M. Spoto, C. Franzosini
Journal: Marine Pollution Bulletin, Volume 199, Article 115937
Year: 2024
Summary:
This study investigates the underwater radiated noise generated by electric boats and its potential environmental impacts on marine species of conservation concern. Acoustic measurements were performed in marine protected areas to understand how low-emission vessels affect sensitive ecosystems.

5. Numerical Models for the Prediction of Ship Airborne Noise Emissions
Authors: M. Biot, G. Rognoni, C. Schenone, D. Borelli, E. Rizzuto, T. Gaggero
Conference: Proceedings of the International Congress on Sound and Vibration
Year: 2024
Summary:
The paper introduces numerical models developed for predicting airborne noise emissions from ships. These models incorporate structural and acoustic analyses to simulate noise propagation paths and identify dominant sources on board. The study serves to enhance ship design practices and regulatory compliance.

CONCLUSION

Prof. Tomaso Gaggero stands out as an exemplary candidate for the Best Researcher Award in Naval Architecture. His unique blend of deep academic knowledge, technical innovation, international collaboration, and environmental commitment places him at the forefront of maritime research. His work addresses urgent global challenges, such as the ecological impact of shipborne noise, and sets industry-leading standards in sustainable ship design and noise mitigation.

With growing global emphasis on green maritime practices, Prof. Gaggero’s contributions are not only academically significant but also strategically vital for the future of environmentally responsible naval engineering.

Igor Petrov | Sea Transportation | Excellence in Transportation Engineering Award

Prof Dr Igor Petrov | Sea Transportation | Excellence in Transportation Engineering Award

Professor, National University “Odessa Maritime Academy”, Ukraine

Igor M. Petrov is an esteemed academic at the National University – Odessa Maritime Academy in Odesa, Ukraine. With a robust background in data analysis and machine learning, he has made significant contributions to various fields, including maritime technology and biometrics. Petrov’s research is characterized by a strong emphasis on innovative solutions to complex problems, making him a prominent figure in the intersection of technology and applied sciences. His dedication to advancing knowledge in his field is evident through his numerous publications and conference presentations, showcasing his expertise and commitment to academic excellence.

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Strengths for the Award

Igor M. Petrov demonstrates significant strengths as a researcher, including a solid academic foundation in data analysis and machine learning, evidenced by his multiple publications and conference contributions. His ability to collaborate effectively with co-authors across various projects reflects his team-oriented approach and leadership skills. Petrov’s research addresses practical challenges in fields like maritime technology and biometric security, showcasing the real-world applicability of his work. His growing citation count indicates that his contributions are recognized and valued within the academic community.

Areas for Improvement

While Petrov has a commendable publication record, there is potential for expanding his research into interdisciplinary collaborations, particularly with industries outside of maritime applications. Engaging in more international conferences could further enhance his visibility and networking opportunities. Additionally, focusing on securing more grants and funding for larger research projects would bolster his contributions to the field and allow for more extensive studies.

Education

Igor M. Petrov holds advanced degrees in engineering and information technology, emphasizing machine learning and data systems. He earned his Master’s and PhD from reputable institutions, focusing on developing intelligent systems for technical applications. His educational journey has equipped him with the skills necessary to tackle intricate challenges in maritime navigation, data mining, and biometric security. Petrov continues to further his knowledge through ongoing research, collaboration with peers, and participation in international conferences, enhancing his expertise in both theoretical and practical aspects of his field.

Experience

With extensive experience in both academia and industry, Igor M. Petrov has held various teaching and research positions. He has contributed to numerous conference papers and projects that integrate machine learning with technical systems. His work includes developing intelligent data systems for risk evaluation and decision support. Petrov has also collaborated with multidisciplinary teams to enhance the capabilities of maritime navigation and monitoring systems. His hands-on experience in real-world applications, combined with his academic prowess, positions him as a leader in the development of innovative technological solutions.

Awards and Honors

Igor M. Petrov has received several accolades for his contributions to research and education in engineering and technology. Notable recognitions include awards from international conferences and institutions for outstanding papers and innovative projects. His work in machine learning and data analysis has earned him a reputation as a thought leader in his field. Additionally, Petrov has been acknowledged for his mentorship and guidance to students and junior researchers, fostering a collaborative and innovative academic environment. His achievements reflect his commitment to excellence in both teaching and research.

Research Focus

Igor M. Petrov’s research focus lies at the intersection of machine learning, data analysis, and maritime technology. He investigates innovative applications of artificial intelligence in various sectors, particularly emphasizing the development of intelligent systems for monitoring and decision-making. His work includes exploring biometric systems and data protection, as well as enhancing risk evaluation methods in complex technical environments. Petrov’s research aims to advance understanding and capabilities within these domains, ultimately contributing to safer and more efficient technological solutions.

Publication Top Notes

  1. Information system module for analysis viral infections data based on machine learning 🤖
  2. Construction of systemic interaction between tools of remote monitoring of the technical condition and operation modes of a truck vehicle 🚛
  3. Using blockchain to protect data from biometric systems for analysis and access control 🔒
  4. Intelligent Data Clustering System for Searching Hidden Regularities in Financial Transactions 💰
  5. Hybrid Intelligent System for Recognizing Biometric Personal Data 🧬
  6. Data Mining Information System for Complex Technical Systems Failure Risk Evaluation ⚙️
  7. Intellectual information system for supporting text data rephrasing processes based on deep learning 📚
  8. Information system for the intellectual assessment of customers’ text reviews tonality based on artificial neural networks 📊
  9. Decision support system for the machine learning methods selection in big data mining 📈
  10. Service Ergatic System of Marine Vehicles Coordination Navigation Information Control Processes 🚢

Conclusion

Igor M. Petrov is a strong candidate for the Best Researcher Award due to his impactful research, collaborative spirit, and commitment to advancing knowledge in technology and engineering. By addressing areas for improvement, he can further elevate his contributions and influence within the academic landscape, making a lasting impact on his field.