Geraldo Rodrigues | mechatronics | Best Researcher Award

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Geraldo Rodrigues | mechatronics | Best Researcher Award

PhD Student at Instituto Superior Técnico, Portugal.

Geraldo Rodrigues is a PhD student in Mechanical Engineering, specializing in aerospace monitoring systems. His research integrates academic and industry expertise, with a focus on innovative engineering solutions.

Summary:

Geraldo Rodrigues is a passionate and dedicated researcher in mechanical engineering, currently pursuing his PhD at Instituto Superior Técnico in Lisbon. His research focuses on developing innovative monitoring systems for aerospace applications, combining academic expertise with industry-relevant projects. Geraldo’s professional experience is extensive, featuring roles in experimental physics, mechatronics engineering, and educational support, which highlights his commitment to advancing scientific knowledge and technical proficiency. His collaborative nature, technical skills, and dedication to impactful research make him a promising researcher with a strong foundation in both academia and industry.

 

Professional Profiles:

ORCID

🎓 Education :

Geraldo is enrolled in a PhD program in Mechanical Engineering at Instituto Superior Técnico, ULisboa, where his research is supported by Faculdade de Ciências da Universidade de Lisboa and Synopsis Planet, a startup that bridges academic research and aerospace applications. He holds an Integrated Master’s degree in Mechanical Engineering from the same institution, which has provided him with a solid foundation in advanced engineering principles. Throughout his academic journey, Geraldo has also earned certifications in drone simulation, control, and energy services, strengthening his qualifications and expanding his skill set.

🏢 Experience:

Geraldo’s experience spans roles in both academia and industry. Currently, he is a research fellow at the Laboratory of Instrumentation and Experimental Particle Physics (LIP) and Fundação para a Ciência e Tecnologia (FCT). He has previously worked as a Junior Mechatronics Engineer with Synopsis Planet, where he contributed to the design and testing of aerospace systems, including a datalogger for extreme cold environments and a housekeeping system for suborbital launchers. Geraldo has also served as a research fellow with IDMEC, IST’s Mechanical Engineering Institute, and CENTRA, the Center for Astrophysics and Gravitation. His teaching experience includes assisting in industrial automation courses for bachelor’s students, demonstrating his commitment to education and skill-sharing.

🛠️Skills:

Geraldo is proficient in numerous technical tools and programming languages, including Microsoft Office, SolidWorks, Siemens NX CAD, and MATLAB. His programming expertise spans MATLAB, Simulink, LATEX, and Arduino IDE, essential for his work in mechatronics and aerospace systems. Additionally, Geraldo’s language skills—Portuguese, French, and English—enhance his ability to communicate and collaborate in international research environments. His adaptability, teamwork, and resilience further solidify his profile as a technically skilled and collaborative researcher.

Research Focus :

Geraldo’s research centers on developing monitoring and housekeeping systems for aerospace vehicles, which involves high-level engineering, applied physics, and data analysis. His work with Synopsis Planet, including the VIRIATO suborbital vehicle project, aims to advance technology for spacecraft and launchers. Geraldo’s research also includes control and experimental validation for wind turbines, contributing to sustainable energy solutions. His focus on aerospace applications and renewable energy demonstrates a forward-thinking approach, integrating innovative solutions for critical technological challenges.

🔬Awards:

Geraldo has earned recognition for his academic and professional contributions, including an Academic Merit award at Level B during the 2018/2019 academic year. His participation in numerous prestigious projects, exhibitions, and conferences—such as the Army Technological Exhibition and the SP4C3 Exploration Congress—also highlights his growing recognition within the engineering and research community. Through his research and achievements, Geraldo continues to make strides in aerospace and mechanical engineering, positioning him as a candidate for additional awards and honors.

Conclusion:

Geraldo Rodrigues exemplifies the qualities of an outstanding researcher through his dedication to mechanical and aerospace engineering, his impactful research, and his commitment to academic and professional growth. With further opportunities to diversify his research outreach, Geraldo’s continued contributions will undoubtedly make a significant impact on the field. His profile strongly aligns with the Best Researcher Award criteria, making him a deserving candidate for this prestigious recognition.

 Publications:

  • Title: Housekeeping System for Suborbital Vehicles: VIRIATO Mock-Up Vehicle Integration and Testing
    Author: Geraldo Rodrigues, B. Arribas, R. Melicio, P. Gordo, D. Valério, J. Casaleiro, A. Silva
    Year: 2024
    Citation: Rodrigues G, Arribas B, Melicio R, Gordo P, Valério D, Casaleiro J, Silva A. Housekeeping System for Suborbital Vehicles: VIRIATO Mock-Up Vehicle Integration and Testing. Journal of Sensor and Actuator Networks. 2024; 13(6):74. https://doi.org/10.3390/jsan13060074.
  • Title: Conception of a Miniature Housekeeping System for Launchers
    Author: Geraldo Rodrigues, B. Arribas, R. Melicio, P. Gordo, D. Valério, J. Casaleiro
    Year: 2023
    Citation: Rodrigues G, Arribas B, Melicio R, Gordo P, Valério D, Casaleiro J. Conception of a Miniature Housekeeping System for Launchers. 2023 International Conference on Control, Automation and Diagnosis (ICCAD). 2023, pp. 1-6. doi: 10.1109/iccad57653.2023.10152410.
  • Title: Controller Development and Experimental Validation for a Vertical Axis Wind Turbine
    Author: Geraldo Rodrigues, D. Valério, R. Melicio
    Year: 2022
    Citation: Rodrigues G, Valério D, Melicio R. Controller Development and Experimental Validation for a Vertical Axis Wind Turbine. Sustainability. 2022; 14(20):13498. https://doi.org/10.3390/su142013498.
  • Title: Experimental Validation of a Wind Turbine
    Author: Geraldo Rodrigues, R. Melicio, D. Valério
    Year: 2022
    Citation: Rodrigues G, Melicio R, Valério D. Experimental Validation of a Wind Turbine. 2022 International Conference on Control, Automation and Diagnosis (ICCAD). 2022, pp. 1-6. doi: 10.1109/iccad55197.2022.9853873.
  • Title: Experimental Validation of Fractional Control of a Wind Generator
    Author: Geraldo Rodrigues
    Year: 2022
    Citation: Rodrigues G. Experimental Validation of Fractional Control of a Wind Generator. Universidade de Lisboa Instituto Superior Técnico. 2022.

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