Prof. Dr. Pengwen Xiong | Nanchang University | China
Prof. Dr. Pengwen Xiong is a Professor and Doctoral Supervisor at Nanchang University, serving as Director of the Jiangxi Provincial Key Laboratory of Intelligent Robotics and Vice Dean of the School of Advanced Manufacturing. He has published over 100 academic papers, applied for 32 national invention patents (20 authorized), and led multiple national and provincial research projects. His expertise spans robotic sensing and control, artificial intelligence, and intelligent instruments, and he has received prestigious awards including the Jiangxi Provincial Science and Technology Progress Award.
Profiles
Early Academic Pursuits
Prof. Dr. Pengwen Xiong began his academic journey with a strong focus on robotics, artificial intelligence, and intelligent systems, completing advanced studies and postdoctoral research that laid the foundation for his career. His early dedication to innovative research and rigorous scientific methodology established him as a rising expert in robotic sensing, AI, and intelligent instruments, enabling him to contribute significantly to both theoretical frameworks and applied robotics technologies.
Professional Endeavors
Dr. Xiong currently serves as Director of the Jiangxi Provincial Key Laboratory of Intelligent Robotics and Vice Dean of the School of Advanced Manufacturing at Nanchang University. He is also an IEEE Senior Member and actively contributes to professional societies including the Chinese Society of Automation, China Computer Federation, and the Chinese Association for Artificial Intelligence. Over his career, he has presided over multiple high-profile projects, including the National Key R&D Program’s “Intelligent Robot” sub-project, four National Natural Science Foundation projects, and numerous provincial and ministerial projects.
Contributions and Research Focus
Prof. Xiong’s primary contribution is the development of the Dictionary-Reconstruction-based Deep Learning (DRDL) method for texture recognition, which preserves critical low-level features often lost in deep learning models. By integrating multi-level feature fusion with early multimodal data combination, his DRDL approach achieves state-of-the-art accuracy, significantly impacting industrial applications where robust and precise recognition is critical. His work focuses on robotic sensing, AI, and intelligent instrumentation, driving both academic advancements and technological innovation.
Impact and Influence
Dr. Xiong’s research has been widely cited, with over 1,100 citations, an H-index of 19, and i10-index of 27 on Google Scholar. His innovations have influenced both academic peers and industry applications, particularly in enhancing intelligent robotic systems’ accuracy and reliability. His work bridges the gap between cutting-edge AI theory and practical implementation, making him a leading figure in robotics and AI research in China and internationally.
Research Skills
Prof. Xiong possesses expertise in robotic sensing and control, artificial intelligence, and intelligent instruments, alongside strong capabilities in deep learning model design, multimodal data integration, and industrial robotics applications. His skill set extends to project leadership, scientific writing, and editorial contributions, demonstrated through over 100 academic publications and leadership roles in prestigious journals.
Awards and Honors
Dr. Xiong has been recognized with prestigious accolades including the First Prize of the Jiangxi Provincial Science and Technology Progress Award and the Second Prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Award. He has also been granted 20 national invention patents out of 32 applications and holds editorial positions such as Associate Editor for the International Journal of Robotics and Automation and Special Issue Associate Editor for IEEE Transactions on Cognitive and Developmental Systems.
Legacy and Future Contributions
Prof. Xiong continues to advance intelligent robotics and AI research, shaping the next generation of robotics technologies and intelligent manufacturing systems. His legacy lies in bridging theoretical AI research with real-world industrial applications, mentoring young researchers, and driving innovation that will influence robotics, AI, and intelligent instrumentation for years to come.
Publications Top Notes
Dynamic sign language recognition based on video sequence with BLSTM-3D residual networks
Authors: Y Liao, P Xiong, W Min, W Min, J Lu
Journal: IEEE Access
Year: 2019
Citations: 189
Ship trajectory reconstruction from AIS sensory data via data quality control and prediction
Authors: X Chen, J Ling, Y Yang, H Zheng, P Xiong, O Postolache, Y Xiong
Journal: Mathematical Problems in Engineering
Year: 2020
Citations: 64
Visual-haptic aid teleoperation based on 3-D environment modeling and updating
Authors: X Xu, A Song, D Ni, H Li, P Xiong, C Zhu
Journal: IEEE Transactions on Industrial Electronics
Year: 2016
Citations: 54
Detecting dynamic behavior of brain fatigue through 3-D-CNN-LSTM
Authors: EQ Wu, P Xiong, ZR Tang, GJ Li, A Song, LM Zhu
Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2021
Citations: 52
AGV-based vehicle transportation in automated container terminals: A survey
Authors: PZH Sun, J You, S Qiu, EQ Wu, P Xiong, A Song, H Zhang, T Lu
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2022
Citations: 46
Mining ship deficiency correlations from historical port state control (PSC) inspection data
Authors: J Fu, X Chen, S Wu, C Shi, H Wu, J Zhao, P Xiong
Journal: PLoS One
Year: 2020
Citations: 39
Design of an accurate end-of-arm force display system based on wearable arm gesture sensors and EMG sensors
Authors: P Xiong, C Wu, H Zhou, A Song, L Hu, XP Liu
Journal: Information Fusion
Year: 2018
Citations: 39
ROpenPose: a rapider OpenPose model for astronaut operation attitude detection
Authors: EQ Wu, ZR Tang, P Xiong, CF Wei, A Song, LM Zhu
Journal: IEEE Transactions on Industrial Electronics
Year: 2021
Citations: 37
Brain-computer interface using brain power map and cognition detection network during flight
Authors: EQ Wu, Z Cao, P Xiong, A Song, LM Zhu, M Yu
Journal: IEEE/ASME Transactions on Mechatronics
Year: 2022
Citations: 35
Development of a multidirectional controlled small-scale spherical MR actuator for haptic applications
Authors: D Chen, A Song, L Tian, Q Ouyang, P Xiong
Journal: IEEE/ASME Transactions on Mechatronics
Year: 2019
Citations: 35
Conclusion
Prof. Dr. Pengwen Xiong is a leading researcher in robotics and artificial intelligence, with over 100 publications, 32 patent applications (20 authorized), and significant contributions such as the Dictionary-Reconstruction-based Deep Learning (DRDL) method. His innovative research, project leadership, and editorial roles demonstrate exceptional scientific excellence and practical impact. With strong professional memberships and awards, he is highly deserving of the Best Researcher Award, reflecting both global influence and advancement of intelligent robotics and AI technologies.