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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

 

 

 

Guanglong Du |robotics | Best Researcher Award

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