Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

Mr. Nikos Mantadakis | PhD candidate | Aristotle University of Thessaloniki (AUTh) | Greece

Nikolaos (Nikos) Mantadakis is a Greek civil engineer and researcher whose work focuses on the numerical modeling and hydroelastic analysis of floating offshore systems for the co-exploitation of wind and wave energy. His research lies at the intersection of marine renewable energy, structural engineering, and computational mechanics, emphasizing the development of advanced simulation frameworks for fully coupled aero-hydro-servo-elastic analyses. He has contributed extensively to projects related to offshore renewable energy technologies, including the conceptual design and numerical evaluation of floating wind turbine systems. His computational expertise spans finite element modeling, wave-structure interactions, and the use of hydrodynamic and structural analysis software such as WAMIT, ABAQUS, and OpenFAST. Nikolaos’s research contributions have been published in high-impact international journals and presented at leading conferences in marine and offshore engineering. He has actively participated in European collaborative research initiatives, such as COST Action CA17105 (WECANet), which aim to advance marine renewable energy deployment across Europe. His scholarly influence is reflected in his Scopus profile, with 78 citations across 75 documents and an h-index of 4, while his Google Scholar profile also demonstrates consistent citation growth. His peer-review experience includes contributions to prestigious journals and international conferences in offshore and polar engineering.

Profile

Scopus

Featured Publications

Mantadakis, N., Loukogeorgaki, E., & Troch, P. (2025). A computational framework for fully-coupled time-domain aero-hydro-servo-elastic analysis of hybrid offshore wind and wave energy systems. Journal of Marine Science and Engineering, 13(11), 2047.

Raghavan, V., Loukogeorgaki, E., Mantadakis, N., Metrikine, A. V., & Lavidas, G. (2024). HAMS-MREL, a new open-source multiple body solver for marine renewable energies: Model description, application, and validation. Renewable Energy, 237, 121577.

Mantadakis, N., Loukogeorgaki, E., & Karimirad, M. (2021). Accounting for hydroelasticity in the analysis of offshore wind turbine spar-type platforms. International Journal of Offshore and Polar Engineering, 31(1), 121–128.

Chatjigeorgiou, I. K., Loukogeorgaki, E., Anastasiou, E., & Mantadakis, N. (2020). Ultimate image singularities in oblate spheroidal coordinates with applications in hydrodynamics. Journal of Marine Science and Engineering, 8(1), 32.

Argyroudis, S., Nasiopoulos, G., Mantadakis, N., & Mitoulis, S. A. (2020). Cost-based resilience assessment of bridges subjected to earthquake excitations including direct and indirect losses. International Journal of Disaster Resilience in the Built Environment, 1, 1–13.

Dr. Hongbo Zhu | Ocean Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Hongbo Zhu | Ocean Engineering | Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Hongbo Zhu is an Associate Research Fellow at the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University. He has built his academic journey at the same institution, progressing from doctoral research to postdoctoral fellowship, assistant research fellowship, and now his current role. His work centers on advancing deep-sea mining pipeline systems, wind engineering, and structural flow vibration. With a strong integration of computational fluid dynamics and artificial intelligence methods, Dr. Zhu’s research contributes to addressing pressing challenges in renewable energy and marine engineering applications.

Publication Profile

Scopus

Education Background

Dr. Hongbo Zhu completed his doctoral studies at the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University. His Ph.D. research focused on optimization in marine engineering systems with applications in offshore and deep-sea technologies. His education provided him with advanced expertise in computational fluid dynamics, structural wind engineering, and vibration control, forming the foundation for his subsequent academic and professional achievements. The doctoral training at a leading institution has enabled him to merge theoretical methods with applied solutions, particularly in engineering systems related to energy and ocean technology.

Professional Experience

Dr. Hongbo Zhu began his professional journey as a postdoctoral fellow at Shanghai Jiao Tong University, where he worked on projects combining structural dynamics and marine applications. He later advanced to the role of Assistant Research Fellow, continuing his innovative studies in renewable energy and pipeline lifting systems. Currently, as an Associate Research Fellow at the same institution, he leads investigations in structural wind engineering and advanced flow vibration control. His academic growth at Shanghai Jiao Tong University reflects both dedication and continuity, allowing him to steadily build expertise in marine and renewable energy engineering.

Awards and Honors

Although specific awards and recognitions are not detailed in available records, Dr. Hongbo Zhu’s continuous progression through academic roles at Shanghai Jiao Tong University demonstrates his recognized contributions and expertise within his field. His publication record in leading journals such as Renewable Energy, Energy, and Physics of Fluids reflects the scientific value of his research. His consistent presence in collaborative research and the citations his work has begun to receive indicate growing acknowledgment of his contributions to structural dynamics, fluid-structure interactions, and renewable energy systems in both national and international academic circles.

Research Focus

Dr. Hongbo Zhu’s research is rooted in engineering systems with a particular focus on deep-sea mining pipeline lifting optimization, structural wind engineering, and the control of structural flow-induced vibrations. He applies computational fluid dynamics and artificial intelligence techniques to improve performance and predictive accuracy in marine and renewable energy systems. His studies span from wind turbine yaw control to slurry flow dynamics in pipelines, bridging energy utilization with fluid mechanics. By integrating machine learning with numerical simulations, his work not only advances theoretical understanding but also proposes innovative solutions for engineering practice in energy and marine technology.

Publication Notes

  • Potential of cyclic yaw control in twin-rotor wind turbine arrays: Preliminary numerical study
    Published Year: 2026

  • Concentration prediction of coarse particle two-phase flow in vertical pipe transportation based on machine learning ensemble and numerical simulation methods
    Published Year: 2025

  • Analysis of wave attenuation performance of a rectangular floating breakwater with triangular wing plates
    Published Year: 2025

  • An Improved Generalized Flexibility Sensitivity Method for Structural Damage Detection
    Published Year: 2025

  • Effects of combined platform rotation and pitch motions on aerodynamic loading and wake recovery of a single-point moored twin-rotor floating wind turbine
    Published Year: 2025

  • Effect of turbulent dispersion force models on hydrodynamic behaviors of slurry flows in horizontal pipes
    Published Year: 2025

Conclusion

Dr. Hongbo Zhu exemplifies a researcher committed to advancing knowledge in marine engineering, renewable energy systems, and computational methods. His academic journey at Shanghai Jiao Tong University has been marked by steady growth, from doctoral research to leading his own investigations as an Associate Research Fellow. His publications highlight both innovation and collaboration, contributing to renewable energy technologies and marine applications. As his research continues to evolve, his focus on combining artificial intelligence with engineering methods places him at the forefront of tackling complex challenges in structural and fluid dynamics for sustainable solutions.