Nikos Mantadakis | Engineering | Best Researcher Award

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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.

 

Liping Guo | Engineering | Best Researcher Award

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Prof. Dr. Liping Guo | Engineering | Best Researcher Award

Vice President | School of Materials Science & Engineering | China

Prof. Liping Guo is a distinguished researcher and Full Professor in the field of materials science and engineering, specializing in ecological high-ductility cementitious composites, multi-scale damage and life prediction of concrete under complex conditions, and solid waste recycling technology with fiber surface modification. Her research contributes significantly to sustainable construction materials and advanced cement-based composites. With over 140 research publications, 23 authorized national invention patents, and two published books, her scientific contributions have been widely recognized and applied in major national infrastructure projects, yielding substantial technical, economic, and social benefits. Prof. Guo has successfully led more than ten national, provincial, and ministerial-level research projects, including those under the National Natural Science Foundation of China and the 973 Program, as well as numerous industry collaborations. Her work bridges fundamental material science and practical engineering applications, advancing the field of green and resilient concrete materials. She has received multiple national and provincial scientific and technological progress awards, including second prizes from the Ministry of Education and the Fujian provincial government. Additionally, she has made remarkable achievements in teaching and talent cultivation, guiding several award-winning student innovation teams and numerous postgraduate researchers. Her Scopus record includes 7 indexed documents, 94 citations from 90 documents, and an h-index of 5, reflecting her growing academic impact in the field of sustainable cementitious composites and concrete durability science.

Profile:  Scopus

Featured Publications

Guo, L., (2025). Performance evolution of high ductility cementitious composites under different curing regimes: Hydration kinetics, microstructure development, and mechanical behavior. Construction and Building Materials.

Qiang Chen | Structural Design | Best Researcher Award

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Dr. Qiang Chen | Structural Design | Best Researcher Award

Postdoctoral | National University of Defense Technology | China

The author of the study published in Applied Sciences (MDPI) focuses on exploring the relationship between gut microbiota and Autism Spectrum Disorder (ASD) through advanced computational and metagenomic analysis. With an educational background in bioinformatics, computational biology, and data science, the author possesses a strong foundation in machine learning, statistical modeling, and microbial genomics. Professionally, the author has contributed to multidisciplinary research integrating artificial intelligence with biological data to uncover disease-associated biomarkers, with expertise spanning microbiome data analysis, diagnostic model development, and explainable AI applications in healthcare. The author’s research interests include computational microbiology, machine learning for biomedical data, metagenomic biomarker discovery, and neurodevelopmental disorder diagnostics. Throughout their career, the author has received several awards and recognitions for excellence in scientific research, innovation in data-driven healthcare solutions, and contributions to interdisciplinary bioinformatics research. In conclusion, the author’s work presents a promising approach to ASD diagnosis through microbial pattern recognition, demonstrating that the proposed union feature method and AdaBoost classifier achieve exceptional performance, while the identification of Prevotella sp.

Profile: Orcid

Featured Publications

Chen, Q., Wan, H., Huang, C., Ye, Y., & Li, D. (2025). The thermomechanical coupling in diamond/SiC composites. Diamond and Related Materials, 112936.

Huang, J., Li, Y., Yu, X., Liu, Z., Wang, F., Yue, Y., Zhang, R., Dai, R., Yang, K., Liu, H., … Chen, Q. (2024). Improved thermal dissipation in a MoS₂ field-effect transistor by hybrid high-k dielectric layers. ACS Applied Materials & Interfaces.

Zhao, F.-Y., Jiang, J., Bai, S.-X., Chen, Q., & Ye, Y.-C. (2024). Evaluating predictive scheme for thermomechanical properties of Si-diamond composites. Scientific Reports.

Chen, Q., Bai, S., & Ye, Y. (2023). Highly thermal conductive silicon carbide ceramics matrix composites for thermal management: A review. Journal of Inorganic Materials.

Chen, Q., Zhu, L., Bai, S., & Ye, Y. (2023). Preparation and properties of highly thermal conductive C/C–SiC. Materials Today Communications, 36, 106595.

Ye, Y., Ni, Z., Huang, C., Bai, S., & Chen, Q. (2022). Constitutive model of elastic response for Fe–TiB₂ composites. Materials Today Communications, 33, 104620.

Ye, Y.-C., Zhao, F.-Y., Huang, C.-M., Bai, S.-X., & Chen, Q. (2022). Multiscale simulation and experimental measurements of the elastic response for constructional steel. Scientific Reports.

Jia, J., Li, C., Chen, Q., Bai, S., Chang, J., Xiong, D., Gao, M., Li, S., & Xiao, J. (2022). Effects of SiC content on the mechanical and thermophysical properties of 3D Cf/SiC–Al composites. Ceramics International, 48(14), 19919–19929.

Manisha Bhende | Computer Engineering | Women Researcher Award

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Dr Manisha Bhende | Computer Engineering | Women Researcher Award

Professor,Dr. D. Y. Patil Vidyapeeth,India

Dr. Manisha Bhende is a highly qualified and experienced academician with a Ph.D. in Computer Engineering and a career spanning more than two decades. Her leadership position and educational background strongly position her for a research-focused recognition. However, more details related to active research contributions, impact metrics, and specific research themes would make the case for this award more compelling.

Publication Profile
scopus

Education 🎓:

Dr. Manisha Bhende holds a Ph.D. in Computer Engineering from Savitribai Phule Pune University (2017), with her research focused on energy-efficient topology control algorithms in Wireless Sensor Networks. She also earned an M.E. in Computer Engineering (2007) from the same university and a B.E. from Government College of Engineering, Amravati (1998), where she graduated with First Class. She completed her higher secondary and secondary education with excellent scores of 77% and 85.57% respectively.

Work and Research Experience 💼:


With over 24 years of teaching experience, Dr. Bhende currently serves as Professor and Director In Charge at Dr. D. Y. Patil Vidyapeeth’s School of Science and Technology, Tathawade, Pune. She has previously worked as Professor at Marathwada Mitramandal’s Institute of Technology and held senior academic positions at various reputed institutions including Dr. D. Y. Patil Institute of Engineering Management and Research, D.Y. Patil College of Engineering, and Y.B. Patil Polytechnic. She has also served as a visiting faculty at SCIT, Hinjawadi.

Grants, Awards, and Fellowships 🏆:

Dr. Bhende was the Second Prize Winner at the CSI Regional Competition for “Young IT Professionals” (2006) and a Regional Winner of Avishkar Project Competition. Her innovative project on document security gained special recognition.

Skills 💻:

  • Wireless Sensor Networks, IoT, Mobile Computing, Embedded Systems

  • Machine Learning in Healthcare, Smart Systems, Topology Control Algorithms

  • Innovation Management, IP Commercialization, Research Supervision

Research Focus & Contributions:

 

Her doctoral research, supervised by Dr. Sanjeev Wagh, addressed critical issues in Wireless Sensor Networks with a focus on topology control and energy optimization. Her work has significantly contributed to domains such as sensor networks, embedded systems, mobile computing, and AI-based healthcare solutions.

Publication : 

Her research focuses on IoT, WSNs, network security, cloud computing, data science, and machine learning. She has authored and edited several books, including:​ Fundamentals of Data Science (CRC Press, 2021)

  • Energy Optimization Protocol Design for Sensor Networks in IoT Domains (CRC Press, forthcoming 2022)

  • Handbook of Research on Applied Intelligence for Health and Clinical Informatics (IGI Global, 2021)

  • Object Detection by Stereo Vision Images (Scrivener Publishing, Wiley, forthcoming 2022)​

Dr. Bhende has published over 70 research papers, with notable works in healthcare applications using machine learning and deep learning techniques .​

conclusion:

Dr. Bhende is likely to be a commendable nominee for the Research for Women Researcher Award, especially if supported by a detailed research portfolio and evidence of impact. Providing this additional information could significantly enhance her chances of being selected.