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.

Ahmed Abdelrahman |3D printing | Young Scientist Award

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Mr.Ahmed Abdelrahman |3D printing | Young Scientist Award

Mr, Ahmed Abdelrahman,University of Alberta, Canada.

Ahmed Abdelrahman is a distinguished researcher and academic currently affiliated with the University of Alberta, Canada. His expertise lies in cutting-edge fields such as material science and engineering, where he has made significant contributions to research and innovation. Ahmed is known for his work on advanced materials, sustainability, and renewable energy technologies. With a strong academic background and numerous publications in high-impact journals, he is actively involved in shaping the future of engineering and technology through both teaching and research.

Summary:

Ahmed Abdelrahman possesses an impressive combination of academic achievements, research experience, and practical skills that align well with the expectations for the Research for Young Scientist Award. His work in additive manufacturing, mechanical design, and production engineering demonstrates a forward-thinking approach to mechanical engineering problems, which is further supported by his competitive accolades. His teaching and assistant lecturer roles also highlight his leadership in academia.

 

Professional Profiles:

Google Scholar

🎓 Education :

Ahmed Moustafa Abdelnabi holds an M.Sc. in Mechanical Engineering from the Faculty of Engineering, Minia University, Egypt, completed in March 2022. His thesis focused on the “Durability Investigation of Spur Gears Fabricated Using 3D Printing,” and the research was partially funded by Minia University. He also earned a B.Sc. in Mechanical Engineering (Production Engineering and Mechanical Design) from the same institution in 2019, graduating with honors (91.12%) and ranking first among the 2019 cohort. His graduation project, “Design and Manufacturing Multi-Purpose Fixture for Shear and Bending Tests,” received an excellent evaluation and is currently patent pending. This project was fully funded by The Academy of Scientific Research & Technology (ASRT).

🏢 Experience:

Ahmed has been serving as an Assistant Lecturer in the Production Engineering and Mechanical Design Department at Minia University since May 2022. From 2019 to 2022, he worked as a Demonstrator (Teaching Assistant) in the same department, where he provided academic support and contributed to the education of students in various courses.

🛠️Skills:

Ahmed has developed a wide range of technical skills, including:,Computer-Aided Design (CAD) and Engineering: Proficient in AutoCAD Mechanical 2D, SolidWorks, ANSYS, and ABAQUS, as well as optical imaging tools.,Computer-Aided Manufacturing (CAM): Expertise in software such as Ultimaker Cura, CNC Siemens Simulation, PRUSA Slicer, and CHITUBOX.,Computer Graphics: Skilled in Photoshop and Illustrator.,Testing: Extensive experience in mechanical testing, including using UTM, hardness tests, optical microscopy, and tribology tests (pin-on-disc, reciprocation).,Software Proficiency: Proficient in OriginPro, Easy Plot, Excel, PowerPoint, Microsoft Word, and SPSS. Familiar with Arduino UNO and has beginner-level knowledge in Python and C programming.

Research Focus :

Ahmed’s research interests primarily lie in mechanical design, production engineering, and the application of additive manufacturing techniques. He has also explored topics in material durability and mechanical testing, particularly related to spur gears and multi-purpose fixtures.

🔬Awards:

Ahmed has received several accolades during his academic career:,2nd Place in the Innovation Day Competition at Minia University (May 2023) for his work in additive manufacturing applications.,1st Place in the Scientific Research Competition at Minia University (2017-2018).,1st Place in the Environmental Research Competition held by the Scientific Club of Minia University (2017-2018).

Conclusion:

Mr. Ahmed Abdelrahman is a strong candidate for the Research for Young Scientist Award. His innovative work on 3D printing and mechanical design, combined with his impressive academic record and teaching experience, makes him well-suited for recognition. If he can further expand his international research collaborations and publications, he will solidify his standing as a distinguished young scientist.

Publications :

    1. Cooling and lubrication techniques in grinding: A state-of-the-art review, applications, and sustainability assessment
      • Authors: AMM Ibrahim, LI Wei, AHI Mourad, AE Mohamed, AM Abd El-Naby, etc.
      • Journal: Chinese Journal of Aeronautics
      • Year: 2023
      • Citations: 19

     

    1. Tension and bending behaviors of 3D printed PLA+ at different printing parameters
      • Authors: AMAE Nabi, MM Mahmoud, WW Marzouk, HA Omran, A ElSheikh, etc.
      • Journal: Journal of Micromechanics and Molecular Physics
      • Year: 2023
      • Citations: 2

     

    1. Triboelectrification of the diapers
      • Authors: OM Suzan, A Mostafa, M Salem, WY Ali
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2017
      • Citations: 2

     

    1. Compressive and bending properties of 3D-printed wood/PLA composites with re-entrant honeycomb core
      • Authors: RF Faidallah, AM Abd-El Nabi, MM Hanon, Z Szakál, I Oldal
      • Journal: Results in Engineering
      • Year: 2024
      • Citations: Not yet available

     

    1. Nanofluids for machining in the era of Industry 4.0
      • Authors: W Li, AMM Ibrahim, Y Ren, AM Abd-El Nabi
      • Journal: Advances in Sustainable Machining and Manufacturing Processes
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of infill pattern and raster angle of the 3D printer on the mechanical properties of PLA+
      • Authors: WWM Ahmed Moustafa Abd-El Nabi, Ahmed Mohamed Mahmoud Ibrahim, Moustafa M, etc.
      • Journal: Minia International Conference on Environment and Engineering
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of the bed and printing temperatures in the mechanical properties of 3D printing additive manufacturing (FDM) using PLA+ material
      • Authors: AMMI Ahmed Moustafa Abd-El Naby, Moustafa Mahmoud, Wagih Marzouk
      • Journal: 3rd International Conference on Engineering Science and Technology
      • Year: 2021
      • Citations: Not listed

     

    1. Tribological behavior assessment of 3D printed PLA+ samples impregnated with liquid anaerobic methacrylate lubricant
      • Authors: MMMWW Mostafa A., Khalifa A.
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2021
      • Citations: Not listed

     

    4o

Zhongtao Fu |Robotics | Best Researcher Award

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Assoc Prof Dr.Zhongtao Fu |Robotics | Best Researcher Award

Assoc Prof Dr, Zhongtao Fu,Wuhan Institute of Technology, China.

Assoc. Prof. Dr. Zhongtao Fu is an Associate Professor at the Wuhan Institute of Technology, China. His research focuses on material science and engineering, with a strong emphasis on advanced manufacturing technologies, materials processing, and mechanical properties. Dr. Fu has published numerous papers in leading international journals, contributing significantly to the development of innovative materials and technologies. He is recognized for his work in promoting cutting-edge research and collaboration in the field of materials science, both domestically and internationally. Dr. Fu also plays a key role in mentoring students and fostering academic growth.

Summary:

Dr. Zhongtao Fu is a highly accomplished researcher specializing in robotics, with notable achievements in both academic research and industrial applications. His expertise in robot control systems, human-robot interaction, and multi-modal perception, combined with his successful project funding and global collaboration, make him a strong contender for the Research for Best Researcher Award. His contributions to robotics, particularly in manufacturing and healthcare, align with global technological advancements

Professional Profiles:

Scopus

🎓 Education :

Dr. Zhongtao Fu earned his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, China, in March 2016. He also holds a Bachelor of Science degree in Mechanical Engineering from Henan University of Science and Technology, completed in July 2010. His academic foundation in mechanical engineering laid the groundwork for his future research in robotics, control systems, and advanced manufacturing techniques.

🏢 Experience:

Since June 2016, Dr. Fu has served as an Associate Professor at the Wuhan Institute of Technology in China. He also worked as a Senior Engineer at Wuhan Cobot Technology Ltd. from June 2016 to December 2018, where he contributed to the development of robotics systems. Between December 2018 and December 2020, he expanded his research through international collaboration as a Visiting Research Fellow at the Core of King’s College London, UK. His research has focused on advancing robotic systems in both theoretical and practical applications, particularly in manufacturing and healthcare.

🛠️Skills:

Dr. Fu possesses extensive expertise in robot manipulation and control, particularly in human-robot interaction, robotic hands, signal processing, and optimal control strategies. He is proficient in several programming languages, including C++, MATLAB, and Python. In addition to his programming skills, he has hands-on experience with a variety of industrial robots, such as KUKA LWR, iiwa, Yaskawa, UR, Barrett Hand, Sawyer, and Denso. His knowledge also extends to key robotics software such as ROS, OpenRAVE, and RoboDK. Furthermore, he has taught courses in Robotics, Matrix Manifold, Optimal Control, Lie Algebra, and Model Predictive Control.

Research Focus :

Dr. Fu’s primary research interests lie in the theory and applications of robotics, particularly in the fields of manufacturing and healthcare. His work encompasses robot kinematics and dynamics, robot-robot and human-robot collaboration, as well as multi-modal perception. He is driven by the goal of discovering connections between advanced algorithms and the resulting product quality. By optimizing control systems, he seeks to enable robots to perform tasks with a high degree of flexibility and precision, making them more efficient in complex environments.

🔬Awards:

Dr. Fu’s achievements in robotics were recognized when his team, Dorabot & Cobot, secured second place in the prestigious IROS Competition on Grasping and Manipulation in 2016. This accolade highlights his commitment to advancing robotic systems and his ability to collaborate effectively in competitive research environments.

Conclusion:

Dr. Zhongtao Fu’s work in robotics showcases his strength in both theoretical advancements and practical implementations, making him a strong candidate for the award. Enhancing his publication record and expanding his leadership roles in international research collaborations would further cement his status as an elite researcher. Overall, his well-rounded academic, industrial, and international experience positions him well for recognition as the Best Researcher.

Publications :

  • Joint torque prediction of industrial robots based on PSO-LSTM deep learning
    • Authors: Xiao, W., Fu, Z., Wang, S., Chen, X.
    • Journal: Industrial Robot
    • Year: 2024
    • Volume/Issue: 51(3)
    • Pages: 501–510
    • Citations: 1

 

  • IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
    • Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume/Issue: 71(4)
    • Pages: 3822–3831
    • Citations: 1

 

  • FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising
    • Authors: Li, X., Han, J., Yuan, Q., Zou, M., Huang, Z.
    • Journal: Entropy
    • Year: 2023
    • Volume/Issue: 25(10)
    • Article Number: 1418
    • Citations: 2

 

  • Auto-identification of dominant modal parameters from multi-batch signals based on weighted SSA to suppress milling vibration
    • Authors: Peng, Y., Chen, X., Jiang, X., Huang, K., Fu, Z.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 128(9-10)
    • Pages: 4077–4090
    • Citations: 0

 

  • Toward Simultaneous Coordinate Calibrations of AX=YB Problem by the LMI-SDP Optimization
    • Authors: Pan, J., Fu, Z., Yue, H., Li, M., Chen, X.
    • Journal: IEEE Transactions on Automation Science and Engineering
    • Year: 2023
    • Volume/Issue: 20(4)
    • Pages: 2445–2453
    • Citations: 9

 

  • Dynamic modeling and analysis on lateral vibration of ball screw feed system
    • Authors: Gao, X., Zhang, X., Yang, J., Wang, M., Zan, T.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 124(11-12)
    • Pages: 4211–4229
    • Citations: 6

 

  • Towards Accurate Solution of Robot Hand-eye Relationship Based on the LMI-SDP Optimization | 基于 LMI-SDP 优化的机器人手眼关系精确求解
    • Authors: Fu, Z., Rao, S., Pan, J., Huang, T., Chen, X.
    • Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
    • Year: 2023
    • Volume/Issue: 59(17)
    • Pages: 109–115
    • Citations: 0

 

  • A Novel Tactile Palm for Robotic Object Manipulation
    • Authors: Zhao, F., Huang, B., Li, M., Lei, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14271 LNAI
    • Pages: 81–92
    • Citations: 0

 

  • Fast Calibration for Ultrasound Imaging Guidance Based on Depth Camera
    • Authors: Zhao, F., Li, M., Fu, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14269 LNAI
    • Pages: 68–79
    • Citations: 0

 

  • Homography matrix based trajectory planning method for robot uncalibrated visual servoing
    • Authors: Fu, Z., Lei, X., Chen, X., Li, M., Huang, T.
    • Conference: 2023 IEEE International Conference on Real-Time Computing and Robotics (RCAR)
    • Year: 2023
    • Pages: 32–37
    • Citations: 0