Name：Du Guanglong


Professional Title / Position：Professor


Research Direction：intelligent robotics, human-computer interaction, interdisciplinary medicine-engineering, and artificial intelligence


Team：intelligent human-robot interaction


Tel：-


Email：csgldu@scut.edu.cn


 Biography：

I am a Professor and Doctoral Supervisor at the School of Computer Science and Engineering, South China University of Technology, and also serve as the Director of the Joint Laboratory for Intelligent Active Rehabilitation. I have been consecutively listed in the "World's Top 2% Scientists" ranking for two years.

I completed my undergraduate studies at Sun Yat-sen University and earned both my master's and doctoral degrees from South China University of Technology.

My research achievements have been successfully applied in several areas. On one hand, they have been implemented in special robotic teleoperation systems for military and aviation applications, for which I was awarded the First Prize of Military Science and Technology Progress Award. On the other hand, some of my research outcomes have been translated into practical use in medical robotics, industrial robotics, agricultural robotics, pharmaceutical retail, industrial manufacturing, and software testing.

In recent years, I have led one project funded by the National Natural Science Foundation of China and three provincial/ministerial-level projects, in addition to participating in several National High-Tech R&D Program (863 Program) projects. To date, I have been granted 50 patents and authored three books. I have published over 50 journal papers, more than 40 of which are indexed in SCI, including one in Nature Communications and 27 in top IEEE Transactions journals.

My contributions have been recognized through several prestigious talent programs and awards, including the Guangdong Natural Science Fund for Distinguished Young Scholars, the Guangdong Special Support Program for Young Top-notch Talents, the Guangzhou Pearl River Science and Technology New Star, and the TCL Young Scholar Award.


 Education：

 Ph.D. & M.S. in Computer Application Technology, South China University of Technology, 2008 - 2013


 B.S. in Information and Computing Science, Sun Yat-sen University, 2004 - 2008


 Work Experience：

Professor, South China University of Technology, 2020 - Present

Associate Professor, South China University of Technology, 2016 - 2020

Associate Research Fellow, South China University of Technology, 2015 - 2016

Postdoctoral Researcher, South China University of Technology, 2013 - 2015


 Course：

Computer Networks





 Projects：

NATIONAL AND PROVINCIAL-LEVEL RESEARCH PROJECTS

  • Principal Investigator, "Research on Interactive Task Learning Methods for Human-Robot Collaboration", National Natural Science Foundation of China (General Program), 2020-2023.

  • Principal Investigator, "Research on Key Technologies of Natural Human-Robot Interaction", National Natural Science Foundation of China (Young Scientists Fund), 2015-2017.

  • Sub-project Leader, "Frontier Technology Research on Assessment and Personalized Intervention for Common Motor and Cognitive Dysfunctions in Chinese Elderly", National Key R&D Program of China, 2023-2026.

  • Lead of Research Unit, "Key Technologies for Machine Intelligent Perception, Autonomous Planning and Control in Multimodal Information Fusion Environments", Guangdong Basic and Applied Basic Research Foundation - Regional Joint Fund (Key Project), 2023-2026.

  • Principal Investigator, "Research on Autonomous Avoidance Control Technology for UAVs Based on BeiDou Communication", Open Fund of Jiangxi Provincial Key Laboratory of Civil-Military Integration for BeiDou General Aviation, 2022-2023.

TALENT PROGRAMS & OTHER MAJOR PROJECTS

  • Principal Investigator, "Key Technologies of Multimodal Human-Robot Interaction for Robotics", Guangdong Natural Science Fund for Distinguished Young Scholars, 2017-2021.

  • Awardee, "Guangdong Special Support Plan" for Young Top-notch Talents in Science and Technology Innovation, 2017-2019.

  • Principal Investigator, "Natural Human-Computer Interaction and Its Applications", Guangzhou Pearl River Science and Technology New Star Program, 2017-2019.

  • Principal Investigator, "Key Technologies of Intelligent Robot Interaction Based on Multimodal Fusion", Institutional Foundation for Distinguished Young Scholars, 2017-2018.

  • Awardee, South China University of Technology TCL Young Scholar Named Position, 2024.

  • Lead of Participating Unit, "Key Technologies for Human-Robot Collaboration in Smart Manufacturing and Their Industrial Applications", Guangdong Key Areas R&D Program

  • Lead of Participating Unit & Position Expert, Guangdong Modern Agricultural Industry Technology System Innovation Team - Innovation R&D Team for Common Key Technologies in Forestry and Fruit Robotic

  • Project Leader, "Development of an Integrated Motor Rehabilitation Diagnosis and Treatment System Based on Virtual Reality and Artificial Intelligence", Guangdong Provincial Key Area Special Program for Universities (New Generation Information Technology)

  • Principal Investigator, "Research on Virtual-to-Real Transfer Learning Methods for Human-Robot Collaboration", Guangdong Natural Science Foundation (General Program)

  • Principal Investigator, "Research on Scene-Driven Multimodal Fusion Human-Computer Interaction Methods in Ubiquitous Environments", Guangdong Natural Science Foundation (General Program), 2023-2025.

  • Vice Project Lead, "Experimental Research on Gesture-Based *** Teleoperation", National High-Tech R&D (863) Progra, 2013-2014.


 Publications：

 [1]Kang Su, Jingwei Liu, Xiaoqi Ren, Yingxiang Huo, Guanglong Du, Wei Zhao, Xueqian Wang, Bin Liang, Di Li, Peter Xiaoping Li, A fully autonomous robotic ultrasound system for thyroid scanning. Nature Communications, 15, 4004 (2024). https://doi.org/10.1038/s41467-024-48421-y

 [2]Guanglong Du, Huijin Wang, Kang Su, Xueqian Wang, Shaohua Teng, Peter X. Liu, Non-interference Driving Fatigue Detection System Based on Intelligent Steering Wheel. IEEE Transactions on Instrumentation & Measurement. Accepted.  

 [3]Y. Liang, G. Du, C. Li, C. Chen, X. Wang and P. X. Liu. A Gesture-Based Natural Human–Robot Interaction Interface With Unrestricted Force Feedback. IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, Art no. 2515911, doi: 10.1109/TIM.2022.3149109.

 [4]Guanglong Du, Yuwen Zeng, Kang Su, Chunquan Li, Xueqian Wang, Shaohua Teng, Di Li, Peter Xiaoping Liu,A Novel Emotion-aware Method Based on the Fusion of Textual Description of Speech, Body Movements and Facial Expressions. IEEE Transactions on Instrumentation & Measurement. Accepted.  

 [5]Guanglong Du, Jinshao Su, Linlin Zhang, Kang Su, Xueqian Wang, Shaohua Teng, Peter X.Liu,A Multi-dimensional Graph Convolution Network for EEG Emotion Recognition. IEEE Transactions on Instrumentation & Measurement. Accepted.  

 [6]Guanglong Du, Yijia Li, Kang Su, Chunquan Li, Peter X.Liu,A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture. IEEE Transactions on Instrumentation & Measurement. Accepted.  

 [7]Kang Su, Guanglong Du, Hua Yuan, Xueqian Wang, Shaohua Teng, Di Li, Peter X.Liu,A Natural Bare-hand Interaction Method with Augmented Reality for Constraint-based Virtual Assembly. IEEE Transactions on Instrumentation & Measurement. Accepted.

 [8]Du, Guanglong, Tan Qinglin, Li Chunquan, Wang Xueqian, Teng Shaohua, Peter X. Liu, IEEE Fellow; A Non-Contact Emotion Recognition Method Based on Complexion and Heart Rate. IEEE Transactions on Instrumentation & Measurement. Accepted.

 [9]Du, Guanglong, Guo Dawei, Su Kang, Wang Xueqian, Teng Shaohua, Li Di, Peter X. Liu, IEEE Fellow; A Mobile Gesture Interaction Method for Augmented Reality Games Using Hybrid Filters. IEEE Transactions on Instrumentation & Measurement. Accepted.

 [10]Du, Guanglong, Deng Yongda, Ng Wing W. Y., Li Di; An Intelligent Interaction Framework for Teleoperation based on Human-Machine Cooperation. IEEE Transactions on Human-Machine Systems. Accepted.

 [11]Du, Guanglong et.al; A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS. IEEE Transactions on Intelligent Transportation Systems. Accepted.

 [12]Du, Guanglong et.al; A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks. IEEE Transactions on Instrumentation & Measurement,DOI: 10.1109/TIM.2022.3149087.

 [13]Du, Guanglong et.al; A Product Fuzzy Convolutional Network for Detecting Driving Fatigue，IEEE Transactions on Cybernetics， DOI: 10.1109/TCYB.2021.3123842.

 [14]Du, Guanglong; An Offline-merge-online Robot Teaching Method Based on Natural Human-robot Interaction and Visual-aid Algorithm, IEEE/ASME TRANSACTIONS ON MECHATRONICS, DOI: 10.1109/TMECH.2021.3112722.

 [15]Du, Guanglong; Wang, Zhiyao; Gao, Boyu; Mumtaz, Shahid; Abualnaja, Khamael; Du, Cuifeng，A Convolution Bidirectional Long Short-term Memory Neural Network for Driver Emotion Recognition, IEEE Transactions on Intelligent Transportation Systems，vol. 22, no. 7, pp. 4570-4578, July 2021

 [16]Du, Guanglong, Liang Yinhao, Gao Boyu, Li Di. A Cognitive Joint Angle Compensation System Based on Self-Feedback Fuzzy Neural Network with Incremental Learning, IEEE Transactions on Industrial Informatics, vol. 17, no. 4, pp. 2928-2937, April 2021.

 [17]Du, Guanglong, Wang Zhiyao, Li Chunquan, Peter X. A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue, IEEE Transactions on Fuzzy Systems, vol. 29, no. 8, pp. 2100-2111, Aug. 2021.

 [18]Du, Guanglong, Li Tao, Li, Chunquan, Liu, Peter X, Di Li. Vision-Based Fatigue Driving Recognition Method for Integrating Heart Rate and Facial Features, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 3089-3100, May 2021.

 [19]Du, Guanglong, Liang Yinhao, Li, Chunquan, Liu, Peter X, Di Li. Online Robot Kinematic Calibration Using Hybrid Filters with Multiple sensors, IEEE Transactions on Instrumentation & Measurement. vol. 69, no. 9, pp. 7092-7107, Sept. 2020.

 [20]Du, Guanglong, Zhang Bo, Li, Chunquan, Liu, Peter X.  Natural Human-Machine Interface with Gesture Tracking and Cartesian Platform for Contactless Electromagnetic Force Feedback, IEEE Transactions on Industrial Informatics, vol. 16, no. 11, pp. 6868-6879, Nov. 2020.

 [21]Du, Guanglong, Yao, Gengcheng, Li, Chunquan, Liu, Peter X. Natural Human-Robot Interface Using Adaptive Tracking System with Unscented Kalman filter. IEEE Transaction on Human-machine System.2019， vol. 50, no. 1, pp. 42-54, Feb. 2020.

 [22]Du, Guanglong, Wenpei Zhou, Li, Chunquan, Liu, Peter X, Di Li An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram, IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2020.3023966.

 [23]Du, Guanglong, RuiGuang, Gengcheng Yao, A Gesture and Speech-guided Robot Teleoperation Method Based on Mobile Interaction with Unrestricted Force Feedback, IEEE/ASME TRANSACTIONS ON MECHATRONICS, vol. 27, no. 1, pp. 360-371, Feb. 2022

 [24]Guanglong Du, Mingxuan Chen, Caibing Liu, Bo Zhang, Ping Zhang，Online  Robot Teaching with Natural Human-robot Interaction. IEEE Transactions on Industrial Electronics, Vol. 65, no. 12, pp.9571-9581,2018.  

 [25]Guanglong Du, Ping Zhang, Di Li, Human-Manipulator Interface based on Multisensory Process via Kalman Filters, IEEE Transactions on Industrial Electronics, 2014, 61(10): 5411-5418.  

 [26]Guanglong Du, Ping Zhang, Online Serial Manipulator Calibration Based on Multisensory Process Via Extended Kalman and Particle Filters, IEEE Transactions on Industrial Electronics, 2014, 61(12): 6852-6859.  

 [27]Guanglong Du, Ping Zhang, A Markerless Human-Robot Interface Using Particle Filter and Kalman Filter for Dual Robots, IEEE Transactions on Industrial Electronics, 2015, 62(4): 2257-2264.  


Awards：

  • TCL Young Scholar Award, 2024

  • Position Expert of Guangdong Modern Agricultural Industry Technology System Innovation Team, 2019

  • First Prize, Military Science and Technology Progress Award, 2018

  • Guangdong Natural Science Fund for Distinguished Young Scholars, 2017

  • Guangdong Special Support Plan for Young Top-notch Talents in Science and Technology Innovation, 2017

  • Guangzhou Pearl River Science and Technology New Star, 2017

  • Institutional Foundation for Distinguished Young Scholars, South China University of Technology, 2017

  • Outstanding Doctoral Dissertation Award of Guangdong Province (Thesis: Unrestricted Intelligent Human-Robot Interaction for Multi-DOF Robots), 2014