Aditi Singh |Robotics| Best Researcher Award

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Dr. Aditi Singh |Robotics| Best Researcher Award

Cleveland State University,United States

Aditi Singh is a student at Cleveland State University in the United States. She is currently pursuing her academic goals with a focus on [your field of study or interest, if known]. Aditi is passionate about [mention any specific interests or areas of expertise, if applicable] and is committed to contributing positively to her community and future career.

Summary:

Xiaohong Zheng is an accomplished researcher with a strong track record in materials science, particularly in the development of advanced gas sensors. His work on novel materials and their applications for detecting harmful gases like NO2 demonstrates significant scientific and practical value. He is recognized as an excellent teacher and mentor and has successfully led funded research projects. His ability to innovate, collaborate, and secure funding highlights his leadership in the field.

 

Professional Profiles:

 Scopus

🎓 Education :

Dr. Aditi Singh has an extensive academic background in computer science:,Ph.D. in Computer Science (2023) from Kent State University, focusing on “A Synchronized Colored Petri Net Modeling for Automated Identification and Learning of Conversational Gestures.”,M.S. in Computer Science (2017) from Kent State University, with research on automated gesture generation.,Bachelor of Engineering in Computer Science (2013) from Sathyabama University, India, graduating summa cum laude with a Gold Medal as the university top rank holder.

 

🏢 Experience:

Dr. Singh currently serves as an Assistant College Lecturer at Cleveland State University, where she teaches graduate and undergraduate courses such as algorithms, database systems, and programming languages. Her prior roles include:,Graduate Assistant at Kent State University, teaching artificial intelligence and programming.,Intern at MathWorks Inc., contributing to a Model-Based System Engineering product.,Programmer Analyst at Cognizant Technology Solutions, specializing in data transformation and warehousing.

🛠️Skills:

Dr. Singh possesses a diverse skill set, including:,Artificial Intelligence: Expertise in modeling, gesture recognition, and large language models.,Programming: Proficient in multiple languages and frameworks for developing hybrid and online education tools.,Data Analytics and Visualization: Specializes in ETL processes and metadata management.,Leadership: Founding Chair of ACM-W Student Chapter and a former president of the Computer Science Graduate Student Association at Kent State University.

 

Research Focus :

Dr. Singh’s research delves into:,Artificial Intelligence and Human-Computer Interaction: Gesture recognition and conversational modeling for social robots.,Educational AI: Developing innovative methods to teach AI concepts to K-12 students.,Applied AI and Big Data: Surveys on emotional AI frameworks, large language models, and big data challenges.

 

🔬Awards:

Dr. Singh’s accomplishments include:2024 AnitaB.org Advancing Inclusion Scholarship Award.,2023 Best Presenter Award at IEEE CCWC.,Multiple travel and volunteer awards for contributions to academic communities.,Finalist for the Best Paper Award in 2018.

 

Conclusion:

Given his solid research output, teaching excellence, and leadership in securing funding, Xiaohong Zheng is certainly a strong candidate for the Best Researcher Award. His contributions to the development of advanced sensing technologies, along with his academic and research leadership, position him as a promising figure in the field of materials science and sensor technology.

 

 Publications:

  • “A Survey of AI Text-to-Image and AI Text-to-Video Generators”
    • Citations: 20
    • Year: 2023

 

  • “Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model”
    • Citations: 15
    • Year: 2024

 

  • “A Comparison Study on AI language detector”
    • Citations: 7
    • Year: 2023

 

  • “Exploring Language Models: A Comprehensive Survey and Analysis”
    • Citations: 5
    • Year: 2023

 

  • “Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence”
    • Citations: 5
    • Year: 2023

 

  • “Towards Synchronous Model of Non-emotional Conversational Gesture Generation in Humanoids”
    • Citations: 5
    • Year: 2021

 

  • “Declarative modeling and implementation of robotic head-based gestures for human-robot interaction”
    • Citations: 4
    • Year: 2019

 

  • “Synchronous Colored Petri Net Based Modeling and Video Analysis of Conversational Head-Gestures for Training Social Robots”
    • Citations: 3
    • Year: 2021

 

  • “Automated Real-Time Recognition of Non-emotional Conversational Head-Gestures for Social Robots”
    • Citations: 2
    • Year: 2022

 

  • “Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model”
    • Citations: 1
    • Year: 2024

 

  • “Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation”
    • Citations: 1
    • Year: 2024

 

  • “Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Analysis for Identifying Iconic Gestures in Human-Robot Interactions”
    • Citations: 1
    • Year: 2024

 

  • “Design of a Novice-Friendly Drone Control System”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human–Robot Interaction”
    • Citations: 1
    • Year: 2023

 

  • “Synchronized Colored Petri Net Based Multimodal Modeling and Real-Time Recognition of Conversational Spatial Deictic Gestures”
    • Citations: 1
    • Year: 2023

 

 

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

 

 

 

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
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