Yinhui Tang |Dieless hydroforming|Best Innovation Award

Mr.Yinhui Tang |Dieless hydroforming|Best Innovation Award

Doctoral Student, Jiangsu University of Science and Technology,China

Mr. Yinhui Tang is a doctoral student at Jiangsu University of Science and Technology, China. His research interests focus on advanced mechanical engineering applications, including robotics, smart manufacturing, and materials engineering. Mr. Tang has contributed to several journal publications and conference presentations in his field, showcasing innovative solutions in automation and sustainable design practices.In addition to his academic pursuits, Mr. Tang has been actively involved in collaborative projects and industrial partnerships aimed at bridging the gap between theoretical research and practical engineering solutions. With a strong foundation in mechanical engineering, he aims to contribute to advancements in technology-driven engineering processes.

 

Professional Profiles:

Google ScholarĀ 

šŸŽ“ Education :

Yinhui Tang is currently pursuing a PhD in Naval Architecture and Ocean Engineering at the School of Naval Architecture & Ocean Engineering, Jiangsu University of Science and Technology, China, starting in September 2024. Previously, Yinhui completed a Masterā€™s degree in Mechanical Engineering from the same university in June 2024, building a strong foundation in engineering principles and advanced research methodologies.

 

šŸ¢Ā Experience:

Yinhui has extensive experience working on cutting-edge research projects in the fields of naval architecture and mechanical engineering, with a particular focus on pressure hull mechanics and advanced material structures. Yinhui is the host of the project ā€œMechanism of Instability and Bulging Mechanics of Multilayer Egg-shaped Pressure Hulls in Deep Sea,ā€ funded for Ā„15,000 from April 2024 to June 2025. Additionally, Yinhui has been a participant in several high-impact research projects, including the Ā„1,700,000 ā€œDeep Sea XXX Pressure-resistant Structureā€ project (2023ā€“2025) and the Ā„1,500,000 project on ā€œMechanism of Instability and Bulging Mechanics of Multilayer Variable-thickness Pressure-resistant Egg-shaped Shells in Deep Seaā€ (2023ā€“2025). Yinhui also contributed to the dieless hydroforming research on egg-shaped pressure hulls (2021ā€“2024) and the development of micro/nano composite pressure hulls (2023ā€“2025), demonstrating expertise in multidisciplinary collaboration and technical problem-solving.

Skills:

Yinhui possesses a diverse set of skills, including expertise in structural mechanics, pressure-resistant hull design, material behavior analysis, and hydroforming processes. Proficiency in research design, project management, and technical report writing further highlights Yinhui’s capabilities. Yinhui is skilled in using advanced engineering software for modeling and simulation and excels in conducting experimental and theoretical studies to support innovation in deep-sea technologies.

 

Research Focus :

Yinhui’s research focuses on the mechanics of instability and bulging of multilayer egg-shaped pressure hulls, a critical area in deep-sea engineering. The work emphasizes understanding the structural behavior of variable-thickness pressure-resistant shells and developing innovative solutions for manufacturing high-performance pressure hulls. Yinhui is also exploring the impact resistance properties of advanced composite materials, aiming to enhance the reliability and durability of deep-sea structures. This research has significant implications for naval architecture, ocean engineering, and the design of next-generation submersible vessels.

 

šŸ”¬Awards:

Yinhui has been recognized for exceptional academic and research performance, contributing to groundbreaking studies in deep-sea pressure-resistant structures and mechanics. The research projects Yinhui has contributed to collectively garnered a total funding of Ā„3,855,000, underlining their significant impact on advancing naval and mechanical engineering research.

Ā Publications:

  • Title: Buckling performance of ellipsoidal pressure hulls with stepwise wall thicknesses
    Authors: Y. Tang, J. Zhang, F. Wang, X. Zhao, M. Wang
    Journal: Ocean Engineering
    Year: 2023
    Citations: 10

 

  • Title: Integrated hydrobulging of prolate ellipsoids from preforms with multiple thicknesses
    Authors: J. Zhang, Y. Tang, M. Zhan, F. Wang, X. Zhao
    Journal: The International Journal of Advanced Manufacturing Technology
    Year: 2023
    Citations: 4

 

  • Title: Internal Hydroforming of Large Stainless-Steel Eggshells from Stepped Preforms
    Authors: Y. Tang, J. Zhang, M. Zhan, H. Jiao, P. Cheng, M. Dai
    Journal: Metals
    Year: 2023
    Citations: 1

 

Conclusion:

Yinhui Tang is a highly suitable candidate for the “Research for Best Innovation Award” based on their research achievements and innovation potential. With a few improvements, such as publishing high-impact papers, obtaining patents, and showcasing broader societal or industrial impacts, their profile would be even more compelling.

Nikos Lagaros |Digital Technology|Best Researcher Award

Prof Dr.Nikos Lagaros |Digital Technology|Best Researcher Award

Vice Rector, National Technical University of Athens,Greece

Prof. Dr. Nikos D. Lagaros is the Vice Rector at the National Technical University of Athens (NTUA), Greece. He is a distinguished professor specializing in computational mechanics, optimization, and structural engineering. With numerous publications in high-impact journals and extensive research experience, he has made significant contributions to the fields of structural optimization, resilience engineering, and sustainable design. Dr. Lagaros is actively involved in academic leadership, fostering innovation and interdisciplinary collaboration at NTUA.

 

Professional Profiles:

Scopus

šŸŽ“ Education :

Nikolaos D. Lagaros holds a Diploma in Civil Engineering from the National Technical University of Athens (NTUA), completed in 1994 with a general grade of 7.96 (Very Well). He earned his Doctorate in Computational Mechanics from NTUA in 2000, with a dissertation titled Structural Design Optimization Based on Evolutionary Algorithms and Neural Networks. From 2000 to 2007, he conducted postdoctoral research at NTUA, focusing on computational structural analysis and earthquake engineering.

 

šŸ¢Ā Experience:

Professor Lagaros is currently the Vice Rector of Finance, Infrastructure, and Development at NTUA. He previously served as Dean of the School of Civil Engineering at NTUA. He has held academic positions ranging from Lecturer to Professor within the Department of Structural Engineering at NTUA since 2008. Earlier, he was an Assistant Professor at the University of Thessaly and has held visiting professorships at prestigious institutions such as MIT and McGill University. His teaching portfolio spans undergraduate and postgraduate courses in structural analysis, optimization, and computational mechanics.

Skills:

Professor Lagaros specializes in advanced computational methods for simulation-based science and engineering. His expertise includes optimization methodologies, machine learning applications in structural analysis, seismic risk assessment, topology optimization, and high-performance computing. He is also skilled in lifecycle cost analysis, stochastic finite element methods, structural health monitoring, and energy-efficient design strategies.

 

Research Focus :

His research is centered on developing innovative methodologies for optimizing structural systems and creating computational tools leveraging artificial intelligence and metaheuristics. He has made significant contributions to structural parametric design, topology optimization, and reliability analysis of large-scale systems. His work also explores shared and distributed computing technologies for solving complex engineering problems.

 

šŸ”¬Awards:

Professor Lagaros is recognized for his leadership roles and contributions to academia. He has supervised numerous doctoral, graduate, and diploma theses, advancing research in structural engineering and computational mechanics. His collaborations with international researchers and institutions have further strengthened his impact on the field.

Ā Publications:

  • Antoniou, P.A., Markolefas, S.I., Giannopoulos, G.I., Lagaros, N., Georgantzinos, S.K. (2025). Multiscale modeling of microstructural and hygrothermal effects on vibrations of CNT-enhanced fiber-reinforced polymer composites. Journal of Sound and Vibration, 596, 118733.

 

  • Sapountzaki, O.E., Kampitsis, A.E., Lagaros, N.D. (2024). Polymer Matrix Composites: The case of pentamodes. Composite Structures, 346, 118419.

 

  • Gonidakis, D.N., Frangedaki, E.I., Lagaros, N.D. (2024). Optimizing Daylight Performance of Digital Fabricated Adobe Walls. Architecture, 4(3), pp. 515ā€“540.

 

  • Vougioukas, E., Stamos, A., Pappa, C., Lagaros, N.D. (2024). Enhancing Onshore Wind Tower Foundations: A Comprehensive Automated Design Approach. CivilEng, 5(3), pp. 736ā€“759.

 

  • Ypsilantis, K.-I., Faes, M.G.R., Lagaros, N.D., Aage, N., Moens, D. (2024). Robust topology and discrete fiber orientation optimization under principal material uncertainty. Computers and Structures, 300, 107421.

 

  • Chamatidis, I., Istrati, D., Lagaros, N.D. (2024). Vision Transformer for Flood Detection Using Satellite Images from Sentinel-1 and Sentinel-2. Water (Switzerland), 16(12), 1670.

 

  • Al-Omari, A.A., Shatnawi, N.N., Shbeeb, N.I., Lagaros, N.D., Abdalla, K.M. (2024). Utilizing Remote Sensing and GIS Techniques for Flood Hazard Mapping and Risk Assessment. Civil Engineering Journal (Iran), 10(5), pp. 1423ā€“1436.

 

  • Rossetos, I., Gantes, C.J., Kazakis, G., Soultanis, K., Lagaros, N.D. (2024). Numerical Modeling and Nonlinear Finite Element Analysis of Conventional and 3D-Printed Spinal Braces. Applied Sciences (Switzerland), 14(5), 1735.

 

  • Sapountzaki, O.E., Kampitsis, A.E., Lagaros, N.D. (2024). Failure mechanisms of anisotropic pentamode-based bridge bearings: A dynamic analysis. Engineering Structures, 301, 117292.

 

  • Damikoukas, S., Lagaros, N.D. (2024). The MLDAR Model: Machine Learning-Based Denoising of Structural Response Signals Generated by Ambient Vibration. Computation, 12(2), 31.

Conclusion:

Prof. Lagarosā€™s career reflects a blend of academic excellence, research innovation, and leadership. His expertise in cutting-edge technologies like machine learning and computational analysis places him among the top researchers in his field. Addressing areas like global outreach, sustainability, and public engagement would further solidify his candidacy. Overall, he is highly suitable for this award and deserves recognition for his contributions to civil engineering and computational science.

issa omle |technology | Best Researcher Award

Dr .issa omle|technology | Best Researcher Award

Dr. issa omle ,Miskolc university, Hungary

Dr. Issa Omle is a distinguished academic and researcher affiliated with the University of Miskolc, Hungary. His work primarily focuses on advancing the fields of engineering and applied sciences. With a commitment to innovation and academic excellence, Dr. Omle has contributed significantly to various research projects, fostering collaboration and knowledge exchange within the international academic community. His expertise and leadership continue to impact the scientific and engineering landscape, making him a prominent figure in his field.

Summary:

Dr. Issa Omleā€™s combination of academic knowledge, practical engineering experience, and advanced research skills makes him a strong candidate for the Best Researcher Award. His work on thermal applications, coupled with his experience in modeling and simulation, contributes to the fieldā€™s advancement, particularly in solving complex engineering problems. His expertise in developing and applying innovative numerical methods shows a commitment to cutting-edge research.

Professional Profiles:

šŸŽ“ Education :

Ph.D. Student in Mechanical Engineering and Informatics,University of Miskolc, Hungary (Expected Completion: 2024)
Specializing in thermal applications, modeling, and simulation using ANSYS and MATLAB.,Masterā€™s Degree in Mechanical Power Engineering,Al-Baath University, Syria (2016 ā€“ 2019),Bachelorā€™s Degree in Mechanical Engineering,Al-Baath University, Syria (2010 ā€“ 2015)

šŸ¢Ā Experience:

Design Engineer (Part-time),Euroil Industrial and Trade Company, Hungary (2023 ā€“ Present)
Responsible for design engineering tasks, thermal modeling, and simulation using ANSYS, along with report preparation.,Modeling and Simulation Engineer,University of Miskolc, Hungary (2021 ā€“ Present)
Working on thermal analysis, modeling, and simulation using ANSYS and MATLAB as part of the FIKP3 project.,Maintenance Supervisor Mechanical Engineer,Engineering Services Directorate, Syria (2017 ā€“ 2020)
Managed mechanical studies in heating, air conditioning, and ventilation systems; supervised the maintenance of chillers and elevators.,Teaching Assistant,Al-Baath University, Syria (2015 ā€“ 2020),Taught courses in thermal engineering, engineering drawing, and modeling using ANSYS Fluent and MATLAB.

šŸ› ļøSkills:

Software Proficiency: ANSYS, MATLAB, Solidworks, AutoCAD, HAP Software, Microsoft Office.,Engineering Expertise: FEA, CFD, ANN, mechanical maintenance.,Languages: Native Arabic, Fluent English, French.

šŸ”¬Awards:

Stipendium Hungarian Scholarship Holder
Received in 2020 for doctoral studies, focusing on thermal engineering and numerical methods for heat transfer problems.

Conclusion:

Dr. Omle has the potential to win the Research for Best Researcher Award, based on his publication record, technical skills, and international academic experience. Further development in leadership roles and broader research collaborations could bolster his profile for future recognition. Overall, his contributions to thermal engineering and modeling are substantial and merit acknowledgment.

Publications :

  • Systematic Investigation of the Explicit, Dynamically Consistent Methods for Fisherā€™s Equation
    • Authors: Khayrullaev, H., Omle, I., KovĆ”cs, E.
    • Journal: Computation
    • Year: 2024
    • Citations: 2

 

  • Impact of Wall Roughness Elements Type and Height on Heat Transfer Inside a Cavity
    • Authors: Omle, I., Askar, A.H., KovĆ”cs, E.
    • Journal: Pollack Periodica
    • Year: 2024
    • Citations: 0

 

  • The Effect of Surface Triangular Roughness Inspired by Nature with Different Angles on the Interaction Between Free Convection and Surface Radiation in a Square Cavity
    • Authors: Omle, I., KovĆ”cs, E., BollĆ³, B.
    • Journal: Heat Transfer Research
    • Year: 2024
    • Citations: 2

 

  • Experimental Study of the Stability and Thermophysical Properties for Different Particle Size of Al2O3-H2O Nanofluid
    • Authors: Abed, H.H., Omle, I., Askar, A.H., KovĆ”cs, E.
    • Journal: Journal of Engineering Science and Technology
    • Year: 2023
    • Citations: 0

 

  • Applying Recent Efficient Numerical Methods for Long-Term Simulations of Heat Transfer in Walls to Optimize Thermal Insulation
    • Authors: Omle, I., KovĆ”cs, E., BollĆ³, B.
    • Journal: Results in Engineering
    • Year: 2023
    • Citations: 7

 

  • Comparison of the Performance of New and Traditional Numerical Methods for Long-Term Simulations of Heat Transfer in Walls with Thermal Bridges
    • Authors: Omle, I., Askar, A.H., KovĆ”cs, E., BollĆ³, B.
    • Journal: Energies
    • Year: 2023
    • Citations: 4

 

  • Testing Some Different Implementations of Heat Convection and Radiation in the Leapfrog-Hopscotch Algorithm
    • Authors: Askar, A.H., Omle, I., KovĆ”cs, E., MajĆ”r, J.
    • Journal: Algorithms
    • Year: 2022
    • Citations: 5

 

  • A Comparative Study of Explicit and Stable Time Integration Schemes for Heat Conduction in an Insulated Wall
    • Authors: Jalghaf, H.K., Omle, I., KovĆ”cs, E.
    • Journal: Buildings
    • Year: 2022
    • Citations: 7

 

  • Stable, Explicit, Leapfrog-Hopscotch Algorithms for the Diffusion Equation
    • Authors: Nagy, Ɓ., Omle, I., Kareem, H., Barna, I.F., Bognar, G.
    • Journal: Computation
    • Year: 2021
    • Citations: 16