Yinhui Tang |Dieless hydroforming|Best Innovation Award

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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 Scholar 

🎓 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 Master’s degree in Mechanical Engineering from the same university in June 2024, building a strong foundation in engineering principles and advanced research methodologies.

 

🏢 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 “Mechanism of Instability and Bulging Mechanics of Multilayer Egg-shaped Pressure Hulls in Deep Sea,” funded for ¥15,000 from April 2024 to June 2025. Additionally, Yinhui has been a participant in several high-impact research projects, including the ¥1,700,000 “Deep Sea XXX Pressure-resistant Structure” project (2023–2025) and the ¥1,500,000 project on “Mechanism of Instability and Bulging Mechanics of Multilayer Variable-thickness Pressure-resistant Egg-shaped Shells in Deep Sea” (2023–2025). Yinhui also contributed to the dieless hydroforming research on egg-shaped pressure hulls (2021–2024) and the development of micro/nano composite pressure hulls (2023–2025), 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.

 

🔬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 ¥3,855,000, underlining their significant impact on advancing naval and mechanical engineering research.

 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

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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

🎓 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.

 

🏢 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.

 

🔬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.

 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. 515–540.

 

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

 

  • 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. 1423–1436.

 

  • 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. Lagaros’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.

Thandu Nagaraju | Computer technology | Best Researcher Award

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Mr. Thandu Nagaraju | Computer technology | Best Researcher Award

Mr, Thandu Nagaraju,Kalasalingam Academy of Research and Education, India

Mr. Thandu Nagaraju is a distinguished faculty member at Kalasalingam Academy of Research and Education, India. He holds a significant role in the academic community, contributing extensively to both teaching and research. Mr. Nagaraju’s expertise lies in the field of mechanical engineering, with a particular focus on advanced manufacturing processes, materials science, and engineering design.

 

Professional Profiles:

Google scholar

Education :

Ph.D. in Computer Science and EngineeringKalasalingam Academy of Research and Education (KARE), 2021-2025,Percentage: 80,M.Tech in Computer Science and Engineering,ASTRA, Jawaharlal Nehru Technological University Hyderabad (JNTU H), 2012-2014,Percentage: 72.62,B.Tech in Computer Science and Engineering,MITS Kodad, Jawaharlal Nehru Technological University Hyderabad (JNTU H), 2008-2012,Percentage: 68.94%Intermediate,St. Anne’s Junior College, Board of Intermediate, 2006-2008,Percentage: 82.20,SSC,AMHS Nakrekal, S.S.C, 2005-2006Percentage: 82.40%

 Experience:

  • Assistant Professor
    CMR Institute of Technology (CMRIT), Hyderabad
    Conducted workshops, FDPs, and seminars; Organized and attended various technical programs.
  • Lecturer
    Various Engineering Colleges
    Delivered lectures and guided students in computer science and engineering subjects.

Skills:

  • Programming Languages: C, C++, Java, Python, R
  • Operating Systems: Windows, Linux, UNIX
  • Web Technologies: HTML, JavaScript, Servlets, JSP, JDBC, PHP
  • RDBMS: SQLServer 2000, Oracle 11g, MySQL

Certifications:

  • Getting and Cleaning Data – Johns Hopkins University, 05/25/2020
  • R Programming – Johns Hopkins University, 05/25/2020
  • Front-End Web UI Frameworks and Tools: Bootstrap 4 – The Hong Kong University of Science and Technology, 05/04/2020
  • Technical Support Fundamentals – Google, 08/31/2020
  • Reproducible Research – Johns Hopkins University, 06/01/2020
  • Statistical Inference – Johns Hopkins University, 06/01/2020
  • Natural Language Processing in TensorFlow – DeepLearning.AI, 07/27/2020
  • Server-side Development with NodeJS, Express and MongoDB – The Hong Kong University of Science and Technology, 06/15/2020
  • Introduction to G Suite – Google Cloud, 05/11/2020
  • The Data Scientist’s Toolbox – Johns Hopkins University, 05/25/2020
  • Regression Models – Johns Hopkins University, 06/15/2020
  • Developing Data Products – Johns Hopkins University, 06/15/2020
  • Exploratory Data Analysis – Johns Hopkins University, 05/25/2020
  • Programming for Everybody (Getting Started with Python) – University of Michigan, 06/15/2020
  • Practical Machine Learning – Johns Hopkins University, 06/15/2020
  • Multiplatform Mobile App Development with React Native – The Hong Kong University of Science and Technology, 06/15/2020
  • Data Science Capstone – Johns Hopkins University, 07/20/2020
  • Introduction to Web Development – University of California, Davis, 06/15/2020
  • Single Page Web Applications with AngularJS – Johns Hopkins University, 07/27/2020
  • AI For Everyone – DeepLearning.AI, 06/01/2020

Publications :

  1. Secure Data Auditing using TPA
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 5.762, September 2014, ISSN 2319-8885
  2. Audit-Free Cloud Storage with Confutable AB Encryption
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 3.59, May 2016, ISSN 2278-7798
  3. A Survey on Security Issues in Wireless Sensor Network
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 3.59, April 2017, ISSN 2278-7798
  4. A Survey on Security Control in Cloud Computing with Attribute-Based Encryption
    International Journal of Advancement in Engineering Technology, Management and Applied Science
    Impact Factor: 3.102, August 2017, ISSN 2349-3224
  5. Enhancing Load Balancing in Cloud Computing by ACO
    International Journal of Engineering and Techniques
    Impact Factor: 3.546, May-June 2017, ISSN 2395-1303
  6. FUZZY-PSO for Classification of Trusted IoT Devices
    International Journal of Advanced Science and Technology
    Impact Factor: 4.546, May-June 2020, ISSN 2005-4238 (Scopus Indexed)