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 Artificial Intelligence 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 Artificial Intelligence 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

 

Guanglong Du |robotics | Best Researcher Award

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Prof .Guanglong Du |robotics | Best Researcher Award

Prof . Guanglong Du ,South China University of Technology, China

Prof. Guanglong Du’s credentials, spanning from his educational background to his extensive experience in human-robot interaction, make him a strong candidate for the Best Researcher Award. His leadership in national and provincial research projects, his role in bridging academia with industry, and his focus on solving real-world problems position him as an influential figure in his field. However, expanding his international profile and increasing his global research visibility through collaboration and publication in top international venues could further enhance his candidacy.

Summary:

Dr. Qing Dai is an outstanding researcher with a remarkable track record of innovation in chemical biology and nucleoside chemistry. His pioneering methods for RNA and DNA sequencing, particularly in the context of detecting modifications such as 5-hmC and pseudouridine, have significant potential for advancing genomics and cancer research. His ability to translate complex research into applicable technologies, supported by numerous patents and prestigious awards, demonstrates his capacity for high-level scientific contributions. However, a more visible engagement in mentorship, societal impact, and broader community outreach could enhance his profile for the Best Researcher Award.

Professional Profiles:

🎓 Education :

PhD in Information and Computer Science,2013-2008, South China University of Technology, China,Bachelor of Information and Computer Science,2008-2004, Sun Yat-sen University, Guangzhou, China

🏢 Experience:

Professor, School of Computer Science and Engineering,September 2020 – Present, South China University of Technology,Leading research efforts in robotics, human-machine interaction, and artificial intelligence. Chairing multiple national and provincial research projects.,Associate Professor, School of Computer Science and Engineering,September 2016 – September 2020, South China University of Technology,Conducted research on robotics and human-robot communication. Led and participated in numerous research projects funded by both national and provincial bodies,Associate Researcher, School of Computer Science and Engineering,August 2015 – September 2016, South China University of Technology,Involved in projects related to natural human-robot interaction and industrial applications of human-machine collaboration.

🛠️Skills:

Artificial Intelligence & Machine Learning,Expertise in applying AI technologies to human-machine interaction, robot learning, and adaptive systems,Human-Robot Communication,Skilled in designing natural interaction methods between robots and humans, with experience in developing force feedback technologies and immersive virtual environments,Project Leadership & Collaboration,Experienced in leading large-scale, multi-year research projects funded by national bodies and private enterprises. Excellent collaboration,skills, particularly in cross-disciplinary research teams.

🔬Awards:

Chairperson of several major research projects under the National Natural Science Foundation of China (NSFC).,Leader of provincial and ministerial-level projects, including the Guangdong Provincial Key Area R&D Program.

Conclusion:

Based on his strong research leadership, practical contributions to human-robot interaction, and proven ability to attract significant research funding, Prof. Guanglong Du is highly deserving of recognition as a top researcher. With a few targeted efforts toward international collaboration and interdisciplinary innovation, he has the potential to secure this award and continue his ascent as a leader in his field.

Publications :

  • A Fully Autonomous Robotic Ultrasound System for Thyroid Scanning
    Authors: Su, K., Liu, J., Ren, X., Li, D., Liu, P.X.
    Source: Nature Communications
    Year: 2024
    Citations: 2

 

  • Online Kinematic Calibration of Robot Manipulator Based on Neural Network
    Authors: Kong, Y., Yang, L., Chen, C., Guan, Q., Du, G.
    Source: Measurement: Journal of the International Measurement Confederation
    Year: 2024
    Citations: 0

 

  • Discrete Cross-Modal Hashing with Relaxation and Label Semantic Guidance
    Authors: Teng, S., Huang, W., Wu, N., Zhang, W., Teng, L.
    Source: World Wide Web
    Year: 2024
    Citations: 0

 

  • A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
    Authors: Du, G., Long, S., Li, C., Wang, Z., Liu, P.X.
    Source: IEEE Transactions on Cybernetics
    Year: 2023
    Citations: 11

 

  • An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram
    Authors: Du, G., Zhou, W., Li, C., Li, D., Liu, P.X.
    Source: IEEE Transactions on Affective Computing
    Year: 2023
    Citations: 14

 

  • A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture
    Authors: Du, G., Li, Y., Su, K., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 2
  • A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Authors: Du, G., Deng, Y., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 6
  • A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
    Authors: Du, G., Zhang, L., Su, K., Teng, S., Liu, P.X.
    Source: IEEE Transactions on Intelligent Transportation Systems
    Year: 2022
    Citations: 29

 

  • An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation
    Authors: Du, G., Deng, Y., Ng, W.W.Y., Li, D.
    Source: IEEE Transactions on Human-Machine Systems
    Year: 2022
    Citations: 5

 

  • An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm
    Authors: Du, G., Yao, G., Li, C., Liu, P.
    Source: IEEE/ASME Transactions on Mechatronics
    Year: 2022
    Citations: 3

 

 

 

Ana Carretero Pérez | Health engineering | Best Researcher Award

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Ms.Ana Carretero Pérez | Health engineering | Best Researcher Award

Ms. Ana Carretero Pérez, Universidad Politécnica de Madrid, Spain

Ms. Ana Carretero Pérez is a distinguished academic at the Universidad Politécnica de Madrid in Spain, where she is recognized for her expertise in [specific field, if known]. With a robust background in [mention relevant research or teaching areas], Ms. Carretero Pérez has contributed significantly to [briefly mention notable achievements or projects]. Her work has been instrumental in advancing [specific research or field], and she continues to influence the academic and professional community through her dedication and innovative approach.

Summary:

Ana Carretero Pérez is a passionate and skilled engineer with a multidisciplinary approach to bioengineering and electronics. Her research on energy harvesting and EEG pattern detection, combined with practical experience in firmware development, positions her as a strong candidate for the Best Researcher Award. Her contributions are impactful, and her academic roles demonstrate her commitment to advancing her field.

Professional Profiles:

ORCID

Scopus

🎓 Education :

Doctorate in Electronic Systems Engineering (PhD student)
Universidad Politécnica de Madrid, 2019 – present
Research focuses on pattern detection in EEG with low resources and computational cost, including PCB development, Matlab Simulink, Python, and pattern algorithms.,Academic Tutor
Universidad Politécnica de Madrid, 2018 – present,Supervised 3 master’s theses and 2 end-of-degree projects, including the development of a low-cost wireless prosthetic arm and an electronic system for monitoring people’s parameters.,Master in Telecommunication Engineering | Bioengineering,Universidad Politécnica de Madrid, 2015 – 2018,Bachelor of Engineering in,Telecommunication Technologies and Services | Electronics,Universidad Politécnica de Madrid, 2011 – 2015

🏢 Experience:

Electronic Engineer,Securitas Direct Verisure, 2021 – present,Firmware engineer specializing in alarm logic development using C++,Researcher Engineer,B105 Electronic Systems Lab, Universidad Politécnica de Madrid, 2018 – 2020,Conducted research on energy harvesting techniques and power management for autonomous devices, resulting in a published MDPI article. Developed a PCB using Altium, C embedded, Eclipse, Cube, RTOS, Git, and SolidWorks. Engaged in target detection with laser projection control and web development using QuickShow, Visual Code, Visual Studio, HTML, CSS, JavaScript, C#, and React.,Technical Engineer,BQ, Las Rozas, Madrid, 2016 – 2018,Managed smartphone firmware related to sensors, graphics, performance, battery, and camera,issues. Utilized Jira, Gerrit, Git, Linux, C, C++, and Java for problem-solving and system,improvements.,Scholarship Assistant,Cátedra BQ, ETSIT-UPM, Madrid, 2015 – 2016,Developed Android graphics and drivers.

🛠️ Skills:

Problem-solving expertise,High adaptability and ambition,Strong work ethic,Proficient in software languages and hardware board development

🏆 Awards:

Awarded for contributions in research and development within the Electronic Systems Lab.,Recognized for outstanding performance and innovation in firmware engineering at Securitas Direct Verisure.

🔬 Research Focus:

Energy Harvesting Techniques and Power Management,Investigated and developed energy harvesting strategies for autonomous devices, contributing to,a published MDPI article.,Target Detection and Laser Projection Control
Explored advanced techniques for target detection and developed associated web applications.

Conclusion:

Ana Carretero Pérez’s blend of research experience, practical engineering skills, and academic involvement makes her a well-rounded candidate for the Best Researcher Award. With a few enhancements in publication impact and broader recognition, she could further solidify her standing as a leading researcher in her field.

Publications :

  1. Article:
    • Title: Design Decisions for Wearable EEG to Detect Motor Imagery Movements
    • Authors: Carretero, A., Araujo, A.
    • Source: Sensors
    • Year: 2024
    • Volume and Issue: 24(15), 4763

 

  1. Conference Paper:
    • Title: Analysis of Simple Algorithms for Motion Detection in Wearable Devices
    • Authors: Carretero, A., Araujo, A.
    • Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    • Year: 2022
    • Pages: 2410–2415

 

  1. Article:
    • Title: Autonomous Active Tag Using Energy Harvesting Strategies
    • Authors: Carretero, A., Real, S., Araujo, A.
    • Source: Applied Sciences (Switzerland)
    • Year: 2020
    • Volume and Issue: 10(15), 5260

 

Cesar Pena Fernandez | Robotics | Best Researcher Award

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Cesar Pena Fernandez | Robotics | Best Researcher Award

Researcher Professor at Federal Institute of Bahia, Brazil 

César Peña Fernández is a distinguished researcher and academic in the field of Electrical Engineering, with a particular focus on control systems, robotics, and computational modeling. Currently a faculty member at the Federal Institute of Bahia (IFBA) in Brazil, he has made significant contributions to both academia and research, including leading innovative projects that bridge the gap between technology and healthcare. His work has gained international recognition, and he is actively involved in collaborative research at the Technische Universität München in Germany.

Summary:

Dr. Peña Fernández has a robust educational background with a Ph.D. and a Master’s degree in Electrical Engineering from the Federal University of Bahia, Brazil, along with an undergraduate degree from Colombia.

Professional Profiles:

ORCID 

Google scholar

🎓 Education :

César Peña Fernández holds a Ph.D. in Electrical Engineering from the Federal University of Bahia (UFBA), Brazil, where he also earned his Master of Science degree in the same field. He completed his undergraduate studies in Electronic Engineering at the Universidad Autónoma de Occidente in Colombia, a qualification recognized by the Federal University of Minas Gerais (UFMG) in Brazil. His educational journey is further enriched by numerous certifications and continued education courses in areas such as industrial control, robotics, and computational modeling, showcasing his commitment to staying at the forefront of his discipline.

🏢 Experience:

Throughout his career, César Peña Fernández has held various academic and administrative roles. He started as a research assistant and teaching assistant at the Universidad Autónoma de Occidente in Colombia and later joined the Federal University of Bahia as a teaching assistant. Since 2013, he has been a professor at the Federal Institute of Bahia, where he has also served as the Coordinator of Research, Postgraduate Studies, and Innovation. His leadership roles include heading the research team GEASI and being a key member of several committees focused on research, curriculum development, and scientific events.

🛠️ Skills:

César Peña Fernández possesses a wide range of skills that are crucial for his research and teaching endeavors. These include expertise in control systems, robotics, and computational modeling, as well as proficiency in programming languages such as ROS (Robot Operating System) and tools like MATLAB. He is also skilled in industrial electronics, digital control, and embedded systems. His administrative capabilities are demonstrated by his successful leadership roles in various research teams and academic committees, where he has managed projects, developed regulatory frameworks, and coordinated scientific events.

🏆 Awards:

César Peña Fernández has received numerous awards and honors throughout his academic and professional career. Notable among these are the Best Paper Award at the IEEE Latin American Robotic Symposium and the National Merit for Best ECAES score in Colombia for Electronic Engineering. He has also been recognized for his excellence in teaching and research with awards such as the first place in the selection process for a professorship at IFBA and the highest grade in his probationary period at the same institution.

🔬 Research Focus:

César Peña Fernández’s research primarily revolves around control systems, robotics, and their applications in healthcare. He has worked on various high-impact projects, such as the DIFMOB project, which addresses performance criteria in robotic systems, and the IRSAVI project, focused on stability analysis in HIV-1 antiretroviral therapies. His research interests also include linear and non-linear modeling of dynamic systems, particularly in the context of wheeled mobile robots, aerial robots, and robotic manipulators. His work is characterized by a strong emphasis on innovation and interdisciplinary collaboration.

Conclusion:

Dr. César Peña Fernández is a highly qualified candidate for the Best Researcher Award. His extensive academic background, leadership in research, and numerous accolades make him a strong contender. However, increasing the broader societal impact of his work and enhancing his visibility in the global research community could further strengthen his case for the award.

Publications :

    1. Nonlinear trajectory tracking controller for wheeled mobile robots by using a flexible auxiliary law based on slipping and skidding variations
      Year: 2019
      Journal: Robotics and Autonomous Systems
      Citations: 17
      📅🤖
    2. Control de velocidad con compensación de deslizamiento en las ruedas de una base holonómica usando un neurocontrolador basado en el modelo NARMA-L2
      Year: 2009
      Journal: IX Congresso Brasileiro de Redes Neurais
      Citations: 10
      📅⚙️
    3. Control of wheeled mobile robots singularly perturbed by using the slipping and skidding variations: curvilinear coordinates approach (Part II)
      Year: 2015
      Journal: IFAC-PapersOnLine
      Citations: 8
      📅🚗
    4. Suitable control laws to path tracking in omnidirectional wheeled mobile robots supported by the measuring of the rolling performance
      Year: 2013
      Journal: XI Simpósio Brasileiro de Automação Inteligente-SBAI
      Citations: 7
      📅🛠️
    5. Designing a real-time artificial vision system for human interaction with an omnidirectional mobile platform
      Year: 2012
      Journal: 2012 Brazilian Robotics Symposium and Latin American Robotics Symposium
      Citations: 7
      📅👁️
    6. Identificação de uma base holonômica para robôs móveis com escorregamento nas rodas usando um modelo NARMAX polinomial
      Year: 2009
      Journal: 9th Brazilian Symposium on Intelligent Automation
      Citations: 7
      📅🔧
    7. Robotics
      Year: 2015
      Journal: Springer-Verlag (Chapter)
      Citations: 6
      📅📚
    8. Trajectory tracking control of nonholonomic wheeled mobile robots with slipping on curvilinear coordinates: a singular perturbation approach
      Year: 2014
      Journal: XX Congresso Brasileiro de Automática-CBA
      Citations: 6
      📅🚙
    9. Stabilizing model predictive control for wheeled mobile robots with linear parameter-varying and different time-scales
      Year: 2018
      Journal: Latin American Robotic Symposium & Brazilian Symposium on Robotics
      Citations: 5
      📅📈
    10. Control of flexible manipulator robots based on dynamic confined space of velocities: Dynamic programming approach
      Year: 2021
      Journal: Journal of Robotics and Control (JRC)
      Citations: 5
      📅🦾

     

Antonio Guerrero-González| Robotics and Automation| Best Researcher Award

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Mr . Antonio Guerrero-González| Robotics and Automation| Best Researcher Award

 Mr . Antonio Guerrero-González ,Universidad Politécnica de Cartagena,Spain

Mr. Antonio Guerrero-González is a distinguished academic at the Universidad Politécnica de Cartagena, Spain. With extensive experience in his field, he has made significant contributions to both teaching and research. His expertise and dedication have earned him a respected position within the academic community.

Professional Profiles:

Scopus

Research Activity, Knowledge Transfer and Exchange:

Proyectos de Investigación y Transferencia e Intercambio del Conocimiento

Proyectos

  1. Proyecto Cátedra Industria 4.0:
    • Entidad: Centro de Acústica Aplicada y Evaluación No Destructiva; Instituto de Fomento de la Región de Murcia
    • Investigador Principal: Guerrero González
    • Institución: Universidad Politécnica de Cartagena
    • Duración: 01/01/2022 – 20/06/2023

Underwater Robotics for Obtaining Bionomic Cartography of UGAP2 areas:

  • Entidad: Autoridad Portuaria de Cartagena
  • Investigador Principal: Guerrero González
  • Institución: Universidad Politécnica de Cartagena
  • Duración: 20/12/2021 – 31/12/2022
  • Financiación: 15.000

Industry 4.0 Chair Project:

  • Investigador Principal: Guerrero González
  • Institución: Universidad Politécnica de Cartagena
  • Duración: 01/01/2019 – 31/12/2020
  • Financiación: 40.000

Automation and Control with Industry 4.0 Technologies of EBA Type Concrete Plants:

  • Entidad: FRUMECAR S.L.
  • Investigador Principal: Antonio Guerrero González
  • Duración: 10/07/2017 – 10/10/2017
  • Financiación: 8.500t

Research activity:

1 Artículo científico. (1/5) Guerrero-Gonzalez, Antonio (AC); Garcia-Cordova, Francisco;
Ortiz, Francisco J.; Alonso, Diego; Gilabert, Javier. 2016. A multirobot platform based
on autonomous surface and underwater vehicles with bio-inspired neurocontrollers for
long-term oil spills monitoring. Autonomous Robots. Springer. 40-5, pp.1321-1342. ISSN
0929-5593. WOS (2), SCOPUS (4) https://doi.org/10.1007/s10514-016-9602-0
2 Artículo científico. Francisco; Antonio; Fernando Mauricio. 2024. Anthropomorphic
Tendon-Based Hands Controlled by Agonist–Antagonist Corticospinal Neural
Network. Sensors. MDPI. 24-2924, pp.1-32.
3 Artículo científico. Francisco; Antonio; Joaquin; Andrés. 2023. Simultaneous
Sensing and Actuating Capabilities of a Triple-Layer Biomimetic Muscle for Soft
Robotics. Sensors. MDPI. 23-9132, pp.1-31.
4 Artículo científico. M.; A; I; A.; Y.2022. Reinforcement Learning Based Transmission
Parameter Selection and Energy Management for Long Range Internet of
Things. Sensors. MDPI. 22-5662.
5
5 Artículo científico. Antonio; Daniel; Samuel. 2021. Assessment of the Degree of
Implementation of Industry 4.0 Technologies: Case Study of Murcia Region in
Southeast Spain. Inzinerine Ekonomika-Engineering Economics. Kaunas University of
Technology. 32-5, pp.422-432.
6 Artículo científico. M.; A.; I; Y.2021. UAV-Enabled Mobile Edge-Computing for IoT Based
on AI: A Comprehensive Review. Drones. MDPI. 148-5.
7 Artículo científico. Salhaoui M.; Guerrero-González A.; Arioua M.; Ortiz F.; El Oualkadi A.;
Torregrosa C.2019. Smart industrial iot monitoring and control system based on UAV and
cloud computing applied to a concrete plant. Sensors (Switzerland). 19-3316, pp.1-26. ISSN
14248220. SCOPUS (3) https://doi.org/10.3390/s19153316
8 Artículo científico. Enguix IF; Sánchez Egea M; Guerrero González A;
Arenas Serrano D. 2019. Underwater Acoustic Impulsive Noise Monitoring
in Port Facilities: Case Study of the Port of Cartagena.Sensors (Basel,
Switzerland). 19-4672. https://doi.org/10.3390/s19214672
9 Artículo científico. González-Reolid I.; Molina-Molina J.; Guerrero-González A.; Ortiz
F.; Alonso D.2018. An autonomous solar-powered marine robotic observatory for
permanent monitoring of large areas of shallow water. Sensors (Switzerland). 18. ISSN
14248220. https://doi.org/10.3390/s18103497
10 Artículo científico. Ortiz F.; Guerrero A.; Sánchez-Ledesma F.; García-Córdova
F.; Alonso D.; Gilabert J.2015. Diseño del software de control de un
UUV para monitorización oceanográfica usando un modelo de componentes
y framework con despliegue flexible. RIAI – Revista Iberoamericana de
Automatica e Informatica Industrial. 12, pp.325-337. ISSN 16977912. SCOPUS
(1) https://doi.org/10.1016/j.riai.2015.06.003
11 Artículo científico. García-Córdova F.; Guerrero-González A.2013. Intelligent
navigation for a solar powered unmanned underwater vehicle. International
Journal of Advanced Robotic Systems. 10. ISSN 17298806. WOS (8), SCOPUS
(10) https://doi.org/10.5772/56029
12 Artículo científico. (1/4) Antonio Guerrero González (AC); Francisco García Cordova;
Inocencio González Reolid; Nápoli Gómez Ramirez. 2012. A Biologically Inspired
Neural Network for Solar Powered Autonomous Surface Vehicles. American Journal
of Intelligent Systems. scientific & Academic Publishing. 2-5, pp.93-103. ISSN
2165-8978. https://doi.org/10.5923/j.ajis.20120205.03
13 Artículo científico. Guerrero-González A.; García-Córdova F.; Ruz-Vila F.2010. A
solar powered autonomous mobile vehicle for monitoring and surveillance missions of
long duration. International Review of Electrical Engineering. 5, pp.1580-1587. ISSN
18276660. WOS (4), SCOPUS (7)
14 Artículo científico. 2008. Neural Control System for Autonomous Vehicles. Encyclopedia of
Artificial Intelligence. IGI Global. pp.1197-1204. ISBN 9781599048499. https://doi.org/DOI:
10.4018/978-1-59904-849-9.ch175
15 Artículo científico. Pedreño-Molina J.; Guerrero-González A.; Calabozo-Moran J.;
López-Coronado J.; Gorce P.2007. A neural tactile architecture applied to real-time stiffness
estimation for a large scale of robotic grasping systems. Journal of Intelligent and Robotic
Systems: Theory and Applications. Springer. 49, pp.311-323. ISSN 09210296. WOS (10),
SCOPUS (17) https://doi.org/10.1007/s10846-006-9040-x