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.

Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

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Ms.Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

Ms, Deepshikha Bhati；Kent State University, United States.

Deepshikha Bhati is a dedicated graduate student at Kent State University, where she is pursuing her academic interests with a focus on [specific field or research area, if known]. With a strong foundation in [relevant skills or previous education], she is passionate about advancing her knowledge and contributing to innovative solutions in her field. Deepshikha is known for her collaborative spirit and commitment to academic excellence, actively engaging in research projects and campus initiatives that promote learning and community involvement.

Summary:

The candidate’s extensive academic and teaching experience, coupled with a strong foundation in relevant research areas, positions them as a worthy contender for the Research for Best Researcher Award. Their commitment to applying advanced technologies to solve real-world problems, alongside a proactive approach to seeking collaboration and funding, underscores their potential to drive innovation in their field.

Professional Profiles:

Google Scholar

🎓 Education :

I am currently pursuing a Ph.D. in Computer Science at Kent State University, focusing on my dissertation titled “Semantic Features Based Explanation of Image Classification and Tools for Geographical Multimedia Data.” I hold a Master of Technology in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, India, which I completed in 2017. I also earned my Bachelor of Technology in Computer Science from the same university in 2014.

🏢 Experience:

Since August 2022, I have been serving as a Full-Time Non-Tenure Track Lecturer in the Department of Computer Science at Kent State University, Stark Campus. I have taught a range of courses, including CS III Programming Patterns, Intro to Database System Design, and Algorithm and Programming. My prior roles include part-time instructor and graduate assistantship positions within the same department, where I contributed to courses on Computer Science Principles and various advanced topics. Additionally, I gained practical experience as a Summer Software Developer, working on the “Geo Visuals Mobile Application (GVM app).”

🛠️Skills:

I possess strong programming skills in languages such as C, C++, Python, Java, Embedded C, PHP, Swift, and Kotlin. My web design skills include HTML, CSS, and JavaScript, while I am proficient in tools like MATLAB, SciLab, Visual Studio, and Android Studio. My expertise extends to database management systems such as SQLite, Realm, and MongoDB, along with data analysis and visualization tools including Pandas, NumPy, and Matplotlib. Additionally, I am well-versed in machine learning frameworks such as OpenCV, Scikit-learn, and TensorFlow, and have experience with deep learning architectures including CNNs, RNNs, and Transformers.

Research Focus :

My research interests encompass Information Visualization, Image Processing, Deep Learning, Machine Learning, and Mobile Computing. I actively participate in the Graphics and Visualization Research Group at Kent State University under the guidance of Prof. Ye Zhao.

🔬Awards:

Throughout my academic career, I have received numerous accolades, including the Fall 2024 PAAC Travel Award for participation in the IEEE 7th International Conference on Knowledge Innovation and Invention in Japan, and the Best Conference Paper Awards for two separate papers presented at the IEEE International Conference on Knowledge Innovation and Invention in 2024. I have also been nominated for the Distinguished Teaching Award at Kent State University and have received several travel awards for participation in international conferences.

Conclusion:

Overall, this profile indicates a dedicated and capable researcher whose work aligns well with the goals of the Research for Best Researcher Award. Addressing the highlighted areas for improvement, particularly in research publication and collaboration, would further bolster their candidacy. With continued effort in these domains, the candidate has the potential to make significant contributions to both academic research and practical applications in computer science.

Publications :

  • Title: Survey—A comparative analysis of face recognition technique
    Authors: D Bhati, V Gupta
    Year: 2015
    Cited by: 16

 

  • Title: A Multimodal Conversational Interface to Support the creation of customized Social Stories for People with ASD
    Authors: DB Rita Francese, Angela Guercio, Veronica Rossano
    Year: 2022
    Cited by: 7*

 

  • Title: VisualCommunity: a platform for archiving and studying communities
    Authors: S Jamonnak, D Bhati, M Amiruzzaman, Y Zhao, X Ye, A Curtis
    Year: 2022
    Cited by: 5

 

  • Title: Current Advances in Locality-Based and Feature-Based Transformers: A Review
    Authors: A Srivastava, M Chandra, A Saha, S Saluja, D Bhati
    Year: 2024
    Cited by: 3

 

  • Title: DNA Sequence in Cryptography: A Study
    Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
    Year: 2022
    Cited by: 3

 

  • Title: Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices
    Authors: D Bhati, M Amiruzzaman, S Jamonnak, Y Zhao
    Year: 2022
    Cited by: 3

 

  • Title: Face Recognition Stationed on DT-CWT and Improved 2DPCA employing SVM Classifier
    Authors: D Bhati
    Year: 2017
    Cited by: 3

 

  • Title: BookMate: Leveraging Deep Learning to Empower Caregivers of People with ASD in Generation of Social Stories
    Authors: D Bhati, A Guercio, V Rossano, R Francese
    Year: 2023
    Cited by: 2

 

  • Title: Recent Trends for Practicing Steganography Using Audio as Carrier: A Study
    Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
    Year: 2022
    Cited by: 2

 

  • Title: Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation
    Authors: K Arquilla, ID Gajera, M Darling, D Bhati, A Singh, A Guercio
    Year: 2024
    Cited by: 1

 

  • Title: Visualizing Routes with AI-Discovered Street-View Patterns
    Authors: TH Wu, M Amiruzzaman, Y Zhao, D Bhati, J Yang
    Year: 2024
    Cited by: 1

 

  • Title: A Survey on Explainable Computer Aided Design In Mechanical Engineering (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging
    Authors: D Bhati, FNU Neha, M Amiruzzaman
    Year: 2024
    Cited by: 0

 

  • Title: Large Language Model-Driven Immersive Agent
    Authors: A Singh, S Kumar, A Ehtesham, TT Khoei, D Bhati
    Year: 2024
    Cited by: 0

 

  • Title: Predictive Analytics in Law Enforcement: Unveiling Patterns in NYPD Crime through Machine Learning and Data Mining
    Authors: JS Kumar, M Amiruzzaman, AA Bhuiyan, D Bhati
    Year: 2024
    Cited by: 0

 

  • Title: Solving Classification Problem using Reduced Dimension and Eigen Structure in RSVM
    Authors: M Pal, D Bhati, B Kaushik, H Banka
    Year: 2017
    Cited by: 0