Mr. Nikos Mantadakis | Engineering | Best Researcher Award

PhD candidate | Aristotle University of Thessaloniki (AUTh) | Greece

Nikolaos (Nikos) Mantadakis is a Greek civil engineer and researcher specializing in the numerical modeling and analysis of floating offshore structures, with a strong focus on the co-exploitation of wind and wave energy systems. His research integrates computational hydrodynamics, structural dynamics, and hydroelasticity to develop advanced simulation frameworks for hybrid offshore energy platforms. He has contributed to the development and validation of computational tools such as HAMS-MREL and has published in leading journals including Renewable Energy and the Journal of Marine Science and Engineering. His works address aero-hydro-servo-elastic coupling, hydrodynamic interactions, and resilience assessment of marine and coastal infrastructure. As part of his scientific engagement, he has actively participated in the COST Action “WECANet,” promoting European collaboration in marine renewable energy research, and contributed to the conceptual design of the FORCYS floating offshore wind turbine. Mantadakis also serves as a reviewer for international conferences and journals in offshore and polar engineering, demonstrating his recognized expertise in the field. With 78 citations from 75 documents, 7 published works, and an h-index of 4, his ongoing research aims to enhance the understanding and performance optimization of floating energy systems through advanced computational methods, supporting the sustainable development of offshore renewable energy technologies.

Profile: Scopus

Featured Publications

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.

Ms. Xinyu Chen | Electrical Engineering | Best Researcher Award

Student | Zhengzhou University of Light Industry | China

Chen Xinyu is a dedicated electrical engineer specializing in R&D testing, electrical systems, and power automation, with academic training covering electrical equipment, power electronics, energy utilization, high voltage technology, relay protection, and power system analysis. She has gained professional experience through internships at Jintai Can Manufacturing, where she worked as a CAD drafting intern, and at Great Wall Motors as an equipment administrator, ensuring safe and stable machinery operations. Her research contributions include developing intelligent systems for monitoring and predicting cable insulation status, conducting in-depth studies on fault diagnosis of power electronic converters using deep learning, and designing advanced methods for partial discharge localization with optimized algorithms, leading to both publications and patents. Her research interests focus on intelligent fault prediction, deep learning applications in converter diagnostics, optimization methods for complex power environments, and predictive maintenance technologies. Recognized with scholarships, technical certifications, and competition awards, she is proficient in tools such as COMSOL, CAD, SolidWorks, MATLAB, Python, and Origin. Combining adaptability, proactive learning, teamwork, and communication skills, she demonstrates resilience and diligence, positioning herself to make valuable contributions to both industry and research while upholding professional excellence.

Profile: Scopus

Featured Publications

An, X. (2026). Multi-path propagation homogenization and partial discharge localization method utilizing a multi-mode optimized Squirrel search algorithm. Electric Power Systems Research, 226, 107276.